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class |
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f70b9f243dd1b2f97a048c91c57187db026d813e | 4,939 | py | Python | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-11-03T07:54:50.000Z | 2021-11-03T07:54:50.000Z | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-iam/huaweicloudsdkiam/v3/model/keystone_associate_group_with_project_permission_request.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import pprint
import re
import six
class KeystoneAssociateGroupWithProjectPermissionRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | 30.487654 | 101 | 0.617331 |
import pprint
import re
import six
class KeystoneAssociateGroupWithProjectPermissionRequest:
sensitive_list = []
openapi_types = {
'project_id': 'str',
'group_id': 'str',
'role_id': 'str'
}
attribute_map = {
'project_id': 'project_id',
'group_id': 'gro... | true | true |
f70ba056fcad84e17f9e4cbcc182c6fcaf5951d5 | 5,896 | py | Python | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 3 | 2019-11-19T14:07:27.000Z | 2020-10-04T12:57:40.000Z | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 4 | 2020-04-09T16:22:20.000Z | 2021-12-15T13:57:36.000Z | tensorflow/python/ops/parallel_for/gradients.py | vixadd/tensorflow | 8c624204eb686a91779149dc500e6c8c60096074 | [
"Apache-2.0"
] | 4 | 2022-01-13T11:23:44.000Z | 2022-03-02T11:11:42.000Z | # 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... | 39.837838 | 80 | 0.690807 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import check_ops
from tensorflow.python.ops import gradients_impl as gradient_ops
from tensorfl... | true | true |
f70ba09090c619abec9379a4d93b0b6aea65b856 | 15,804 | py | Python | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | classification/models/model23.py | anonymous2submit/Pointsformer | 0eaa141b3d79d45cd925976bde6097b51e0d3819 | [
"MIT"
] | null | null | null | """
Exactly equals to Model21 (the best results so far), but differnt configurations.
Exactly based on Model10, but ReLU to GeLU
Based on Model8, add dropout and max, avg combine.
Based on Local model, add residual connections.
The extraction is doubled for depth.
Learning Point Cloud with Progressively Local represen... | 35.198218 | 110 | 0.590926 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import einsum
from einops import rearrange, repeat
from pointnet2_ops import pointnet2_utils
def square_distance(src, dst):
B, N, _ = src.shape
_, M, _ = dst.shape
dist = -2 * torch.matmul(src, dst.permute(0, 2, 1))
dist += t... | true | true |
f70ba0b9684f17eb9c083521f1cbfc758a822d2e | 1,013 | py | Python | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | source/data_preparation/00b-generate_assembly_nochain.py | hui2000ji/masif | 70a76c5f4639f70c546d5603612c7cc9f47a35b8 | [
"Apache-2.0"
] | null | null | null | import os
import sys
from SBI.structure import PDB
from default_config.masif_opts import masif_opts
print(masif_opts["ligand"]["assembly_dir"])
if not os.path.exists(masif_opts["ligand"]["assembly_dir"]):
os.mkdir(masif_opts["ligand"]["assembly_dir"])
def assemble(pdb_id):
# Reads and builds the biological as... | 30.69697 | 104 | 0.686081 | import os
import sys
from SBI.structure import PDB
from default_config.masif_opts import masif_opts
print(masif_opts["ligand"]["assembly_dir"])
if not os.path.exists(masif_opts["ligand"]["assembly_dir"]):
os.mkdir(masif_opts["ligand"]["assembly_dir"])
def assemble(pdb_id):
print(os.path.join(masif_opts["r... | true | true |
f70ba0cd1ceec91a3daa39c0d4e996db44d6f725 | 13,271 | py | Python | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_mito_act/model_57.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | # exported from PySB model 'model'
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', 'X... | 79.467066 | 614 | 0.809736 |
from pysb import Model, Monomer, Parameter, Expression, Compartment, Rule, Observable, Initial, MatchOnce, Annotation, ANY, WILD
Model()
Monomer('Ligand', ['Receptor'])
Monomer('ParpU', ['C3A'])
Monomer('C8A', ['BidU'])
Monomer('BaxM', ['BidM', 'BaxA'])
Monomer('Apop', ['C3pro', 'Xiap'])
Monomer('Fadd', ['Receptor',... | true | true |
f70ba1c7f2cb64fa136136f269dd626b70b2a811 | 13,693 | py | Python | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 190,993 | 2015-11-09T13:17:30.000Z | 2022-03-31T23:05:27.000Z | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 48,461 | 2015-11-09T14:21:11.000Z | 2022-03-31T23:17:33.000Z | tensorflow/python/framework/sparse_tensor_test.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 104,981 | 2015-11-09T13:40:17.000Z | 2022-03-31T19:51:54.000Z | # Copyright 2015 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... | 38.463483 | 80 | 0.693274 |
from absl.testing import parameterized
import numpy as np
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.framew... | true | true |
f70ba1fbd0b88f8e278bb8592c895d1b36e75c20 | 11,615 | py | Python | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 13 | 2020-07-13T22:26:25.000Z | 2022-03-18T17:40:56.000Z | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 26 | 2020-11-29T11:11:09.000Z | 2022-01-12T11:34:19.000Z | devicely/empatica.py | DigitalBiomarkerDiscoveryPipeline/devicely | 9773fead4d3969a32ca2760b8db4ae728c4d5d50 | [
"MIT"
] | 5 | 2021-07-26T11:01:38.000Z | 2022-02-22T18:23:57.000Z | """
Empatica E4 is a wearable device that offers real-time physiological data
acquisition such as blood volume pulse, electrodermal activity (EDA), heart
rate, interbeat intervals, 3-axis acceleration and skin temperature.
"""
import os
import random
import numpy as np
import pandas as pd
class EmpaticaReader:
... | 40.611888 | 101 | 0.584245 |
import os
import random
import numpy as np
import pandas as pd
class EmpaticaReader:
def __init__(self, path):
self.start_times = {}
self.sample_freqs = {}
files = [f for f in os.listdir(path) if os.path.isfile(os.path.join(path, f))]
if files is None:
print('Empt... | true | true |
f70ba28c0ff01d16d24b0d53e79a3c5456d834b5 | 7,925 | py | Python | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 11 | 2019-08-22T18:37:09.000Z | 2022-02-28T22:49:25.000Z | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 57 | 2019-08-20T19:57:14.000Z | 2021-09-16T20:54:59.000Z | thor/filter_orbits.py | moeyensj/thor | ec1150e23ec69944e45f6beddf57cfb46e9e44dc | [
"BSD-3-Clause"
] | 7 | 2021-02-09T21:28:43.000Z | 2022-02-01T08:55:29.000Z | import pandas as pd
from typing import Tuple
from .data_processing import UNKNOWN_ID_REGEX
from .utils import calcDeltas
__all__ = [
"filterKnownOrbits",
"filterOrbits"
]
def filterKnownOrbits(
orbits: pd.DataFrame,
orbit_observations: pd.DataFrame,
associations: pd.DataFrame,
... | 45.285714 | 123 | 0.722145 | import pandas as pd
from typing import Tuple
from .data_processing import UNKNOWN_ID_REGEX
from .utils import calcDeltas
__all__ = [
"filterKnownOrbits",
"filterOrbits"
]
def filterKnownOrbits(
orbits: pd.DataFrame,
orbit_observations: pd.DataFrame,
associations: pd.DataFrame,
... | true | true |
f70ba298444fd5ee9e0963aa7594d931ec799e5c | 2,064 | py | Python | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | Archi/tests/test_esbn_model.py | Near32/Archi | 0005713fa4e37c7cd9b34cd257c481d08928db8a | [
"MIT"
] | null | null | null | import Archi
import yaml
def test_model_loading():
try:
config = yaml.safe_load(
open("./esbn_model_test_config.yaml", 'r'),
)
except yaml.YANNLError as e:
print(e)
from Archi import load_model
model = load_model(config)
assert 'KeyValueMemory' in model.... | 32.761905 | 103 | 0.66376 | import Archi
import yaml
def test_model_loading():
try:
config = yaml.safe_load(
open("./esbn_model_test_config.yaml", 'r'),
)
except yaml.YANNLError as e:
print(e)
from Archi import load_model
model = load_model(config)
assert 'KeyValueMemory' in model.... | true | true |
f70ba2dbbed027a097316912aef62f7e4fca727a | 5,378 | py | Python | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 2 | 2020-05-15T02:40:25.000Z | 2020-06-08T04:30:00.000Z | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 33 | 2020-06-16T15:12:33.000Z | 2021-07-23T07:04:35.000Z | airflow/operators/bash.py | mebelousov/airflow | d99833c9b5be9eafc0c7851343ee86b6c20aed40 | [
"Apache-2.0"
] | 2 | 2021-01-11T13:53:03.000Z | 2021-10-02T05:06:34.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 38.141844 | 105 | 0.649498 |
import os
import signal
from subprocess import PIPE, STDOUT, Popen
from tempfile import TemporaryDirectory, gettempdir
from typing import Dict, Optional
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from airflow.utils.opera... | true | true |
f70ba333ac2eec228f11aaf00c56987a66df3504 | 2,669 | py | Python | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | null | null | null | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | 13 | 2020-03-24T15:29:41.000Z | 2022-03-11T23:15:28.000Z | api_tests/users/views/test_user_list.py | sf2ne/Playground | 95b2d222d7ac43baca0249acbfc34e043d6a95b3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import urlparse
from nose.tools import * # flake8: noqa
from tests.base import ApiTestCase
from tests.factories import AuthUserFactory
from api.base.settings.defaults import API_BASE
class TestUsers(ApiTestCase):
def setUp(self):
super(TestUsers, self).setUp()
self.user... | 32.54878 | 86 | 0.630948 | import urlparse
from nose.tools import *
from tests.base import ApiTestCase
from tests.factories import AuthUserFactory
from api.base.settings.defaults import API_BASE
class TestUsers(ApiTestCase):
def setUp(self):
super(TestUsers, self).setUp()
self.user_one = AuthUserFactory()
self.u... | true | true |
f70ba36f5449e78d850667a6792ccd3d50af645e | 155 | py | Python | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 5 | 2020-05-06T03:13:01.000Z | 2021-12-09T22:39:26.000Z | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 6 | 2019-11-27T18:38:09.000Z | 2021-12-16T20:40:50.000Z | muteria/drivers/testgeneration/testcase_formats/python_unittest/__init__.py | muteria/muteria | 2cb72ff04548b011bce9296833bceb295199ae8e | [
"MIT"
] | 4 | 2019-06-24T08:54:36.000Z | 2022-03-31T15:38:35.000Z | from muteria.drivers.testgeneration.testcase_formats.python_unittest.unittest\
import * | 77.5 | 78 | 0.496774 | from muteria.drivers.testgeneration.testcase_formats.python_unittest.unittest\
import * | true | true |
f70ba37efe5a4d8ded4bea670347e317978fe155 | 4,833 | py | Python | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | pixelprint.py | optoisolator/pixel-print | 99ed669bdc47d50c6f9785b7232e97d9b6653467 | [
"MIT"
] | null | null | null | #!/usr/bin/python
"""
--------------------------------------------------------------------------------------------------------------
The MIT License (MIT)
Copyright (c) 2016 William Yang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (th... | 26.124324 | 110 | 0.53652 | import time
import RPi.GPIO as GPIO
import alphanumeric
pin_r1 = 5
pin_r2 = 6
pin_r3 = 13
pin_r4 = 19
pin_r5 = 26
pin_c1 = 21
pin_c2 = 20
pin_c3 = 16
pin_c4 = 12
PAUSE_INTERVAL = 300
COL_SCAN = 0.0001
ROW_SCAN = 0.0008
NUM_COLS = 8
class LEDMatrixControl:
def __init__(self):
self.row_ctrl = [pin_r1, pin... | true | true |
f70ba4152c3dda319f435fa092eb83c1d673060f | 9,175 | py | Python | tests/utils/test_calculate_accuracies.py | RubensZimbres/pytorch-metric-learning | 3ff3b9ae6065fdf470f7c19ea8c11f9850d697ea | [
"MIT"
] | 1 | 2020-12-22T01:11:46.000Z | 2020-12-22T01:11:46.000Z | tests/utils/test_calculate_accuracies.py | marijnl/pytorch-metric-learning | 41e06ef5af398c05d238e0a74ee6c42fa7bd574c | [
"MIT"
] | null | null | null | tests/utils/test_calculate_accuracies.py | marijnl/pytorch-metric-learning | 41e06ef5af398c05d238e0a74ee6c42fa7bd574c | [
"MIT"
] | null | null | null | import unittest
from pytorch_metric_learning.utils import accuracy_calculator
import numpy as np
class TestCalculateAccuracies(unittest.TestCase):
def test_accuracy_calculator(self):
query_labels = np.array([1, 1, 2, 3, 4])
knn_labels1 = np.array(
[
[0, 1, 1... | 40.597345 | 87 | 0.500817 | import unittest
from pytorch_metric_learning.utils import accuracy_calculator
import numpy as np
class TestCalculateAccuracies(unittest.TestCase):
def test_accuracy_calculator(self):
query_labels = np.array([1, 1, 2, 3, 4])
knn_labels1 = np.array(
[
[0, 1, 1... | true | true |
f70ba52887f184ad281e8caf21f7d1bf136269b9 | 51,226 | py | Python | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | tensorflow/python/eager/backprop.py | piquark6046/tensorflow | 57771c5d008f6d16fd147110213855d145a7e0bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 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... | 36.986282 | 90 | 0.679011 |
import functools
import operator
import sys
import six
from tensorflow.python import pywrap_tfe
from tensorflow.python.eager import backprop_util
from tensorflow.python.eager import context
from tensorflow.python.eager import execute
from tensorflow.python.eager import imperative_grad
from tensorflow.python.eager i... | true | true |
f70ba52a2bd12e48541dace861de83c615f1e6a9 | 142,862 | py | Python | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | 1 | 2022-02-23T08:20:59.000Z | 2022-02-23T08:20:59.000Z | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | null | null | null | test/test_fx.py | ammar1510/pytorch | ec8d6777255821bed73b471eadddde068cd60c0b | [
"Intel"
] | null | null | null | # Owner(s): ["oncall: fx"]
import builtins
import contextlib
import copy
import functools
import inspect
import math
import numbers
import operator
import os
import pickle
import sys
import torch
import traceback
import typing
import types
import warnings
import unittest
from math import sqrt
from torch.multiprocessin... | 36.687725 | 128 | 0.585348 |
import builtins
import contextlib
import copy
import functools
import inspect
import math
import numbers
import operator
import os
import pickle
import sys
import torch
import traceback
import typing
import types
import warnings
import unittest
from math import sqrt
from torch.multiprocessing import Process
from torch... | true | true |
f70ba6b87b169178ffb85b354aeb87156f54dfd1 | 3,275 | py | Python | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | 5 | 2021-09-15T18:29:49.000Z | 2022-03-26T04:41:01.000Z | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | generator/verify/sim_sram.py | VLSIDA/OpenCache | 0e79bf353c68d57dcc49d78178b12fd0b468f19a | [
"BSD-3-Clause"
] | null | null | null | # See LICENSE for licensing information.
#
# Copyright (c) 2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
from policy import replacement_policy as rp
from glob... | 27.521008 | 110 | 0.617405 | from policy import replacement_policy as rp
from globals import OPTS
class sim_sram:
def __init__(self, num_words, num_ways, num_rows):
self.num_words = num_words
self.num_ways = num_ways
self.num_rows = num_rows
def reset(self):
self.valid_array = [[0] * self.num_ways for... | true | true |
f70ba70746408cde2e2e445a071d007f2f2b62f8 | 1,369 | wsgi | Python | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 25 | 2016-03-24T23:24:41.000Z | 2022-03-04T16:52:47.000Z | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 30 | 2016-03-25T06:53:18.000Z | 2022-03-12T18:51:27.000Z | files/config-files/maposmatic.wsgi | chatelao/maposmatic-vagrant | c4864a5da5c40a5755f7432c3e2e77eaa87e99e4 | [
"Unlicense"
] | 13 | 2016-03-26T23:36:04.000Z | 2021-01-20T18:41:10.000Z | # coding: utf-8
# maposmatic, the web front-end of the MapOSMatic city map generation system
# Copyright (C) 2009 David Decotigny
# Copyright (C) 2009 Frédéric Lehobey
# Copyright (C) 2009 David Mentré
# Copyright (C) 2009 Maxime Petazzoni
# Copyright (C) 2009 Thomas Petazzoni
# Copyright (C) 2009 Gaël Utard
# ... | 37 | 89 | 0.770636 |
import os, sys
sys.path.append("/home/maposmatic/maposmatic")
sys.path.append("/home/maposmatic/ocitysmap")
os.environ["DJANGO_SETTINGS_MODULE"] = 'www.settings'
os.environ["MAPOSMATIC_LOG_FILE"] = "/home/maposmatic/maposmatic/logs/maposmatic-www.log"
os.environ["PGCONNECT_TIMEOUT"] = "1"
import django.core.han... | true | true |
f70ba851bced003f1bd4ef374153c70502f27c10 | 2,395 | py | Python | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | bam/task_specific/task.py | deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 25.752688 | 74 | 0.704384 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import csv
import os
import tensorflow.compat.v1 as tf
class Example(object):
__metaclass__ = abc.ABCMeta
def __init__(self, task_name):
self.task_name = task_name
class Task(object):
... | true | true |
f70ba8cd1beb723b680a53896c7f7d9b27f3178c | 3,345 | py | Python | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | 1 | 2019-11-22T13:42:56.000Z | 2019-11-22T13:42:56.000Z | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | null | null | null | amazon_scraper/settings.py | Samyak2/amazon-scraper | f8922e5e9c7e8a1184b59b758757b192f7aa6c29 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Scrapy settings for amazon_scraper project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/lates... | 35.210526 | 102 | 0.781166 |
BOT_NAME = 'amazon_scraper'
SPIDER_MODULES = ['amazon_scraper.spiders']
NEWSPIDER_MODULE = 'amazon_scraper.spiders'
USER_AGENT = 'amazon_scraper_3 (+your@email.here)'
ROBOTSTXT_OBEY = True
CONCURRENT_REQUESTS = 2
DOWNLOAD_DELAY = 3
ITEM_PIPELINES = {
'amazon_scraper.pipelines.AmazonScraperPipeline': 30... | true | true |
f70babde43bff0c8c248591d5b1a2c576b8fd8cb | 6,101 | py | Python | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | null | null | null | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | null | null | null | chainer/functions/pooling/average_pooling_2d.py | LuoYuanke/PrivChainer | 758d765c7903f6913cfd58c21db069d5f2a12203 | [
"MIT"
] | 1 | 2022-02-20T10:32:59.000Z | 2022-02-20T10:32:59.000Z | import numpy
import chainer
from chainer.backends import cuda
from chainer import function_node
from chainer.functions.pooling import pooling_2d
from chainer.utils import conv
class AveragePooling2D(pooling_2d.Pooling2D):
"""Average pooling over a set of 2d planes."""
# TODO(beam2d): Support cover_all mode.... | 37.20122 | 77 | 0.532208 | import numpy
import chainer
from chainer.backends import cuda
from chainer import function_node
from chainer.functions.pooling import pooling_2d
from chainer.utils import conv
class AveragePooling2D(pooling_2d.Pooling2D):
def forward_cpu(self, x):
self._in_shape = x[0].shape
self._in_dtype ... | true | true |
f70bac85c3a38d428186f259f52a297e8e68a3f2 | 632 | py | Python | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | app/forms.py | YiChengCai1999/DepressionAnnotator | 828f505d0f22f7c2337f1b37c7dee3ea23468951 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/12/5 19:35
# @Author : cendeavor
# @File : forms.py
# @Software: PyCharm
from flask_wtf import Form, FlaskForm
from wtforms import StringField, SubmitField, PasswordField
from wtforms.validators import Required, DataRequired, EqualTo
class NameForm(... | 27.478261 | 69 | 0.693038 |
from flask_wtf import Form, FlaskForm
from wtforms import StringField, SubmitField, PasswordField
from wtforms.validators import Required, DataRequired, EqualTo
class NameForm(Form):
name = StringField('What is your name?', validators=[Required()])
submit = SubmitField('注册')
class LoginForm(FlaskForm):
... | true | true |
f70bacb5720192a7e432abae6a62ee6600ea78fe | 13,872 | py | Python | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | label_script/label script.py | rechardchen123/tensorflow_understand | aa271efc7253bd273ce8f7ac76eb50ebb68a4534 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from tkinter import *
import tkMessageBox
from PIL import Image, ImageTk
import os
import glob
import random
w0 = 1 #图片原始宽度
h0 = 1 #图片原始高度
# colors for the bboxes
COLORS = ['red','blue','yellow','pink','cyan','green','black']
#image size
SIZE = 256,256
#指定缩放后的图像大小
DEST_SIZE = 500,50... | 35.118987 | 118 | 0.517445 | from __future__ import division
from tkinter import *
import tkMessageBox
from PIL import Image, ImageTk
import os
import glob
import random
w0 = 1 h0 = 1
COLORS = ['red','blue','yellow','pink','cyan','green','black']
SIZE = 256,256
DEST_SIZE = 500,500
class LabelTool():
def __init__(self,master):
... | true | true |
f70bace2128f09dc26c0dcf8ff0f701cb867a582 | 8,016 | py | Python | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | adafruit_pyportal/network.py | jposada202020/Adafruit_CircuitPython_PyPortal | 2c09cc1ba6130de03f3f6d2643af5fcc6c82bb8e | [
"Unlicense",
"MIT-0",
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2020 Melissa LeBlanc-Williams, written for Adafruit Industries
#
# SPDX-License-Identifier: Unlicense
"""
`adafruit_pyportal.network`
================================================================================
CircuitPython driver for Adafruit PyPortal.
* Author(s): Limor Fried, Kevin J... | 38.171429 | 253 | 0.594561 |
import gc
from adafruit_portalbase.network import (
NetworkBase,
CONTENT_JSON,
CONTENT_TEXT,
)
from adafruit_pyportal.wifi import WiFi
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_PyPortal.git"
IMAGE_CONVERTER_SERVICE = (
"https://io.adafruit.com/api/v... | true | true |
f70bad7ea69e067caab69fe4854350f67d504f31 | 5,718 | py | Python | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | src/sadie/renumbering/result.py | jwillis0720/pybody | 2d7c68650ac1ef5f3003ccb67171898eac1f63eb | [
"MIT"
] | null | null | null | import logging
import pandas as pd
from ast import literal_eval
from .constants import NUMBERING_RESULTS
from sadie.numbering.scheme_numbering import scheme_numbering
logger = logging.getLogger("NUMBERING")
class NumberingResults(pd.DataFrame):
def __init__(self, *args, scheme="", region_definition="", allowed_... | 38.635135 | 120 | 0.549668 | import logging
import pandas as pd
from ast import literal_eval
from .constants import NUMBERING_RESULTS
from sadie.numbering.scheme_numbering import scheme_numbering
logger = logging.getLogger("NUMBERING")
class NumberingResults(pd.DataFrame):
def __init__(self, *args, scheme="", region_definition="", allowed_... | true | true |
f70bade14a31fddad9b14b51709da0b4d1094b8f | 1,071 | py | Python | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | 1 | 2021-04-21T03:07:15.000Z | 2021-04-21T03:07:15.000Z | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | null | null | null | tests/test_split_settings.py | abdulniyaspm/django-split-settings | 9a004ce261ffd16782da08577fb700300f3bd40b | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# pylint: disable=no-member
"""
This file contains tests with base functionality.
"""
def test_merge(merged):
"""
Test that all values from settings are present.
"""
assert hasattr(merged, 'SECRET_KEY')
assert hasattr(merged, 'STATIC_ROOT')
def test_override(merged, mon... | 23.8 | 73 | 0.704949 |
def test_merge(merged):
assert hasattr(merged, 'SECRET_KEY')
assert hasattr(merged, 'STATIC_ROOT')
def test_override(merged, monkeypatch):
monkeypatch.setenv('DJANGO_SETTINGS_MODULE', 'tests.settings.merged')
from django.conf import settings
assert merged.STATIC_ROOT == settings.STATIC_R... | true | true |
f70bae9c979732376e4cb729a58df45c13daa528 | 528 | py | Python | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/home/migrations/0001_load_initial_data.py | crowdbotics-apps/share-34244 | b4acf167275d5bf120b1f0254aabc2e0e95111a9 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.db import migrations
def create_site(apps, schema_editor):
Site = apps.get_model("sites", "Site")
custom_domain = "share-34244.botics.co"
site_params = {
"name": "SHARE",
}
if custom_domain:
site_params["domain"] = custom_domain
Site.objects.update_or_create(defau... | 20.307692 | 61 | 0.651515 | from django.db import migrations
def create_site(apps, schema_editor):
Site = apps.get_model("sites", "Site")
custom_domain = "share-34244.botics.co"
site_params = {
"name": "SHARE",
}
if custom_domain:
site_params["domain"] = custom_domain
Site.objects.update_or_create(defau... | true | true |
f70baf1f4016fb95e12e305e4c79a70b93b9b4a6 | 3,210 | py | Python | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | do_it_django_prj/settings.py | Eliksny/do_it_django_a_to_z | 728d08f11cbed05aa93004d116926df26f681ccf | [
"MIT"
] | null | null | null | """
Django settings for do_it_django_prj project.
Generated by 'django-admin startproject' using Django 3.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
impo... | 25.275591 | 91 | 0.697508 | import os
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = '^il&w&37030%c0kbg@9(h+k(jsps53_)brjyw)mksmj=*c^5vf'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contentty... | true | true |
f70baf4ada1e8690727609371f5fe6b0550ce622 | 1,073 | py | Python | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | 6 | 2019-04-13T07:22:38.000Z | 2022-03-30T16:38:07.000Z | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | null | null | null | run_on_vacuum/my_logger.py | edwios/xiaomiWifiMapper | 55a4bafcca9f7d000e5df4360e2c8e4584541942 | [
"MIT"
] | 1 | 2022-02-08T16:08:21.000Z | 2022-02-08T16:08:21.000Z | import logging
import datetime
import os
def config_logs():
# Logfile
logfolder = "logs/"
logdate = datetime.datetime.now().strftime("%y-%m-%d_%H:%M") + "_"
logfile = "aerodust.log"
logpath = logfolder + logfile
#logpath = logfolder + logdate + logfile
if not os.path.exists(logfolder):
... | 29 | 70 | 0.691519 | import logging
import datetime
import os
def config_logs():
logfolder = "logs/"
logdate = datetime.datetime.now().strftime("%y-%m-%d_%H:%M") + "_"
logfile = "aerodust.log"
logpath = logfolder + logfile
if not os.path.exists(logfolder):
os.makedirs(logfolder)
logformat... | true | true |
f70bafa9d216982e080b2ecad32e8a1c7f55bbe2 | 11,523 | py | Python | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | httpBridge/http_server.py | neilbroadbent/captive-web-view | ff0b541727ab60df6d05cae1eb66dd9d7b572b89 | [
"BSD-2-Clause"
] | null | null | null | # Run with Python 3
# Copyright 2019 VMware, Inc.
# SPDX-License-Identifier: BSD-2-Clause
"""\
HTTP server that can be used as a back end to Captive Web View applications.
The server is based around a Python3 Simple HTTP Server extended to pick files
from one of a number of directories.
The server will change direc... | 38.667785 | 110 | 0.586392 | import argparse
from http.server import HTTPServer, SimpleHTTPRequestHandler
import json
from os import chdir
import os.path
from pathlib import Path
import shutil
from socketserver import ThreadingMixIn
import sys
import textwrap
def project_path(*segments):
return Path(__file__).resolve().parents[1].joinpath(*se... | true | true |
f70bb050c191468d1bf7ec98d2a0e34ce404620f | 1,940 | py | Python | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3d_virtual_env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | 7 | 2020-07-16T08:23:58.000Z | 2022-02-03T17:51:13.000Z | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3D_Virtual_Env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | null | null | null | environment/controller/ppo_test.py | rafaelcostafrf/UAV_3D_Virtual_Env | bccaa52ec97fff5c0a17e1351a09f913d91c4c7b | [
"CC0-1.0"
] | 3 | 2020-09-16T14:24:48.000Z | 2021-02-03T10:01:00.000Z | import sys
from quadrotor_env import quad, render, animation
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
import numpy as np
from quadrotor_env import quad, render, animation
from model import ActorCritic
"""
MECHANICAL ENGINEERING POST-GRADUATE PROGRAM
UNIVE... | 28.115942 | 98 | 0.716495 | import sys
from quadrotor_env import quad, render, animation
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal
import numpy as np
from quadrotor_env import quad, render, animation
from model import ActorCritic
time_int_step = 0.01
max_timesteps = 1000
T = 5
devi... | true | true |
f70bb0dcace5468cfd76a8c6fc2bbcfa258e969a | 926 | py | Python | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | server.py | serchrod/PlotWebService | 3d744641e7fa187d46903e71b3da6faa1ca80197 | [
"MIT"
] | null | null | null | from flask import Flask, escape, request
from flask import send_file
from Graph.plot import Plot
app = Flask(__name__)
@app.route('/', methods=["POST"])
def hello():
print(request.method)
req_data= request.get_json()
print(req_data)
name = request.args.get("name", "World")
return f'Hello, {escape(name)... | 25.027027 | 63 | 0.679266 | from flask import Flask, escape, request
from flask import send_file
from Graph.plot import Plot
app = Flask(__name__)
@app.route('/', methods=["POST"])
def hello():
print(request.method)
req_data= request.get_json()
print(req_data)
name = request.args.get("name", "World")
return f'Hello, {escape(name)... | true | true |
f70bb2806abe8753fedf0fa824ed6ca2d2632ea8 | 56 | py | Python | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | 1 | 2021-11-20T06:24:41.000Z | 2021-11-20T06:24:41.000Z | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | null | null | null | django_menus/__init__.py | jonesim/django-menus | 11f46eead9dec3c99724d9d5df87ce7eb0bee730 | [
"MIT"
] | null | null | null | DUMMY_MENU_ID = 999999
DUMMY_MENU_SLUG = 'SLUGGOESHERE'
| 18.666667 | 32 | 0.821429 | DUMMY_MENU_ID = 999999
DUMMY_MENU_SLUG = 'SLUGGOESHERE'
| true | true |
f70bb319fc1590c0ee070b2f24afe5ede7e22037 | 22,466 | py | Python | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 2 | 2020-02-26T08:10:20.000Z | 2020-02-28T19:10:01.000Z | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 1 | 2022-03-26T12:10:11.000Z | 2022-03-26T12:10:11.000Z | tests/wav2vec2/test_modeling_flax_wav2vec2.py | techthiyanes/transformers | 705d65368fb28246534ef636fe62c008f4fb2682 | [
"Apache-2.0"
] | 1 | 2022-01-12T14:45:41.000Z | 2022-01-12T14:45:41.000Z | # Copyright 2021 The HuggingFace Team. 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 applicabl... | 40.921676 | 200 | 0.685658 |
import inspect
import math
import unittest
import numpy as np
from datasets import load_dataset
from transformers import Wav2Vec2Config, is_flax_available
from transformers.testing_utils import (
is_librosa_available,
is_pyctcdecode_available,
require_flax,
require_librosa,
require_pyctcdecode,
... | true | true |
f70bb3e18995f3440115fb6135f9b27b8831cd83 | 157 | py | Python | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 2 | 2021-12-12T12:06:46.000Z | 2021-12-12T12:21:18.000Z | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 1 | 2021-12-12T12:21:43.000Z | 2021-12-12T22:49:46.000Z | src/silicium/utils/require.py | PH-KDX/silicium | 813e8719a4ba381691d3d1b11ea5738bb2ee2d36 | [
"MIT"
] | 2 | 2021-12-12T15:13:54.000Z | 2021-12-21T09:08:42.000Z | import os
def require(file, *args):
with open(os.path.join(os.path.dirname(file), *args), "r") as fh:
source = fh.read()
return source
| 19.625 | 69 | 0.598726 | import os
def require(file, *args):
with open(os.path.join(os.path.dirname(file), *args), "r") as fh:
source = fh.read()
return source
| true | true |
f70bb3f0b9097225846ad1f4840fb47c67f84b16 | 25,331 | py | Python | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | efficientdet/det_model_fn.py | templeblock/automl | 0a73e836fd4a9d22919cb1ff5af9ca30082fa4b2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google Research. 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... | 39.641628 | 80 | 0.67218 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import re
from absl import logging
import numpy as np
import tensorflow.compat.v1 as tf
import coco_metric
import efficientdet_arch
import hparams_config
import iou_utils
import nms_np
import... | true | true |
f70bb51fb5f77dd016a4f81eefdabf218aad321e | 2,730 | py | Python | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | 1 | 2019-01-15T06:12:37.000Z | 2019-01-15T06:12:37.000Z | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | 17 | 2019-01-08T16:02:37.000Z | 2019-10-21T17:38:01.000Z | app/tests/v1/test_meetup.py | KelynPNjeri/Questioner-API | 5d71b169be0db2d18642b13075b2cc4e3904e9ee | [
"MIT"
] | null | null | null | """Module for Testing the Meetup Endpoint."""
import json
# Local Import
from .basecase import TestBaseCase as base
class TestMeetup(base):
"""Testing the Meetup Endpoints with valid input."""
def setUp(self):
base.setUp(self)
def test_create_meetup(self):
"""Testing Creation of a Meetu... | 42 | 172 | 0.675824 | import json
from .basecase import TestBaseCase as base
class TestMeetup(base):
def setUp(self):
base.setUp(self)
def test_create_meetup(self):
response = self.client.post(
"/api/v1/meetups",
data=json.dumps(self.meetup_payload),
content_type=self.content... | true | true |
f70bb60cd9a165991bea09f982f2310be199ff23 | 4,891 | py | Python | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 601 | 2019-08-24T10:14:52.000Z | 2022-03-29T15:05:33.000Z | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 220 | 2019-10-04T18:57:59.000Z | 2022-03-31T15:30:37.000Z | yolo3/models/yolo3_resnet50.py | holajoa/keras-YOLOv3-model-set | c15b8a2f48371c063f6482b25593dc70d5956323 | [
"MIT"
] | 218 | 2019-10-31T03:32:11.000Z | 2022-03-25T14:44:19.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""YOLO_v3 ResNet50 Model Defined in Keras."""
from tensorflow.keras.layers import UpSampling2D, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.applications.resnet import ResNet50
from yolo3.models.layers import yolo3_predictions, yol... | 36.22963 | 143 | 0.686363 |
from tensorflow.keras.layers import UpSampling2D, Concatenate
from tensorflow.keras.models import Model
from tensorflow.keras.applications.resnet import ResNet50
from yolo3.models.layers import yolo3_predictions, yolo3lite_predictions, tiny_yolo3_predictions, tiny_yolo3lite_predictions
def yolo3_resnet50_bo... | true | true |
f70bb65474dfcd0bf14ad96f156718369f73d25c | 4,069 | py | Python | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | experiments/ashvin/icml2020/hand/sparse/rewards_relocate1.py | Asap7772/rail-rl-franka-eval | 4bf99072376828193d05b53cf83c7e8f4efbd3ba | [
"MIT"
] | null | null | null | """
AWR + SAC from demo experiment
"""
from railrl.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from railrl.demos.source.mdp_path_loader import MDPPathLoader
from railrl.launchers.experiments.ashvin.awr_sac_rl import experiment
import railrl.misc.hyperparameter as hyp
from railrl.launchers.arglaunc... | 30.140741 | 75 | 0.574343 |
from railrl.demos.source.dict_to_mdp_path_loader import DictToMDPPathLoader
from railrl.demos.source.mdp_path_loader import MDPPathLoader
from railrl.launchers.experiments.ashvin.awr_sac_rl import experiment
import railrl.misc.hyperparameter as hyp
from railrl.launchers.arglauncher import run_variants
from railrl.to... | true | true |
f70bb69e81e881e93a438547dcdd44dc53d59ab5 | 2,433 | py | Python | log_casp_act/run_model_778.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_casp_act/run_model_778.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null | log_casp_act/run_model_778.py | LoLab-VU/Bayesian_Inference_of_Network_Dynamics | 54a5ef7e868be34289836bbbb024a2963c0c9c86 | [
"MIT"
] | null | null | null |
import numpy as np
from math import *
import pymultinest
import sys
sys.path.insert(0, '/home/kochenma/pysb')
from pysb.integrate import Solver
import csv
import datetime
import time as tm
from model_778 import model
from pysb.pathfinder import set_path
set_path('bng', '/home/kochenma/BioNetGen')
data_object = []
wi... | 25.610526 | 237 | 0.671599 |
import numpy as np
from math import *
import pymultinest
import sys
sys.path.insert(0, '/home/kochenma/pysb')
from pysb.integrate import Solver
import csv
import datetime
import time as tm
from model_778 import model
from pysb.pathfinder import set_path
set_path('bng', '/home/kochenma/BioNetGen')
data_object = []
wi... | false | true |
f70bb6d64ee156cd9362f37bcdaef380680dc2cd | 26,277 | py | Python | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | parlai/tasks/blended_skill_talk/agents.py | Misterion777/ParlAI | 1a6849d643a30a9a981825d9f50470b6512817c5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
import os
import random
import re
from collections import defaultdict
from typing import List, Optional, Dic... | 41.381102 | 247 | 0.595464 |
import copy
import os
import random
import re
from collections import defaultdict
from typing import List, Optional, Dict, Tuple
from parlai.core.opt import Opt
from parlai.core.teachers import ParlAIDialogTeacher, create_task_agent_from_taskname
from parlai.tasks.convai2.agents import BothTeacher
from parlai.tasks.... | true | true |
f70bb732c7dba05e730ab3f4b6cafea04d163ce2 | 2,582 | py | Python | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | meiduo_mall02/apps/users/migrations/0003_auto_20190519_1544.py | hongyinwang/meiduo_project02 | 3f21773d2d98204400ea2c3738969ac2a593b242 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2019-05-19 15:44
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('areas', '0001_initial'),
... | 52.693878 | 168 | 0.62316 | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('areas', '0001_initial'),
('users', '0002_user_email_active'),
]
operations = [
... | true | true |
f70bb8099e8fc99c6b1915a64aa50ef8bc9e551b | 466 | py | Python | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 6 | 2017-10-12T06:17:37.000Z | 2022-03-09T13:57:32.000Z | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 4 | 2017-06-09T01:31:13.000Z | 2020-09-01T20:08:17.000Z | pylearn/assignment/triangle/04.py | wangding/demo-code | ecc225642ba3aa1463f7e15b0f7fd96ecd43f067 | [
"MIT"
] | 4 | 2017-10-10T08:57:53.000Z | 2018-07-05T09:03:47.000Z | #! /user/bin/env python
# _*_ coding: utf-8 _*_
# __author__ = "王顶"
# Email: 408542507@qq.com
"""
循环切片实现
需求总是改变，一会是4层金字塔，一会儿是5层金子塔
到底要几层，改一下 while 循环的条件变量就行了
"""
level = 0
line = ''
stars = '*******************************************'
spaces = ' '
while level < 4:
n ... | 19.416667 | 54 | 0.450644 |
level = 0
line = ''
stars = '*******************************************'
spaces = ' '
while level < 4:
n = level * 2 + 1 m = 4 - level
line = spaces[:m] + stars[:n]
print(line)
level = level + 1 | true | true |
f70bba66989a10c1afc4308f981a114b3aac0610 | 4,231 | py | Python | tests/st/ops/cpu/test_broadcast_to_op.py | PowerOlive/mindspore | bda20724a94113cedd12c3ed9083141012da1f15 | [
"Apache-2.0"
] | 3,200 | 2020-02-17T12:45:41.000Z | 2022-03-31T20:21:16.000Z | tests/st/ops/cpu/test_broadcast_to_op.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 176 | 2020-02-12T02:52:11.000Z | 2022-03-28T22:15:55.000Z | tests/st/ops/cpu/test_broadcast_to_op.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 621 | 2020-03-09T01:31:41.000Z | 2022-03-30T03:43:19.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 35.258333 | 78 | 0.670527 |
import numpy as np
import pytest
import mindspore.context as context
from mindspore.common.tensor import Tensor
from mindspore.ops import operations as P
@pytest.mark.level0
@pytest.mark.platform_x86_cpu
@pytest.mark.env_onecard
def test_broadcast():
context.set_context(mode=context.GRAPH_MODE, device_target='C... | true | true |
f70bbae8184a4fbe5f16077443f13743bf9bd7ba | 3,695 | py | Python | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2021-04-16T07:59:28.000Z | 2021-04-16T07:59:28.000Z | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-smn/huaweicloudsdksmn/v2/model/update_application_endpoint_request_body.py | wuchen-huawei/huaweicloud-sdk-python-v3 | 3683d703f4320edb2b8516f36f16d485cff08fc2 | [
"Apache-2.0"
] | 1 | 2022-01-17T02:24:18.000Z | 2022-01-17T02:24:18.000Z | # coding: utf-8
import pprint
import re
import six
class UpdateApplicationEndpointRequestBody:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
... | 26.775362 | 87 | 0.573748 |
import pprint
import re
import six
class UpdateApplicationEndpointRequestBody:
sensitive_list = []
openapi_types = {
'enabled': 'str',
'user_data': 'str'
}
attribute_map = {
'enabled': 'enabled',
'user_data': 'user_data'
}
def __init__(self, enabled=N... | true | true |
f70bbd6d1707e41946b26993726d5c4787519f5a | 332 | py | Python | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | null | null | null | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | null | null | null | tests/test_info_ordering.py | aventon1/text-summarizer | d7540bfd862b1222f6ebd7875948bbf20c52f603 | [
"MIT"
] | 2 | 2019-10-09T17:17:40.000Z | 2020-11-30T05:05:07.000Z | #!opt/python-3.6/bin/python3
import unittest
import sys
sys.path.append("../src")
from info_ordering import order_info
class TestInfoOrdering(unittest.TestCase):
def test_order_info(self):
# TODO: fix to actually test
value = 5
self.assertEqual(value, 5)
if __name__ == '__main__':
uni... | 18.444444 | 42 | 0.692771 |
import unittest
import sys
sys.path.append("../src")
from info_ordering import order_info
class TestInfoOrdering(unittest.TestCase):
def test_order_info(self):
value = 5
self.assertEqual(value, 5)
if __name__ == '__main__':
unittest.main() | true | true |
f70bbe427124f831ca320689a3b1138ac1f62dfa | 15,815 | py | Python | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 12,496 | 2016-02-19T13:38:26.000Z | 2022-03-31T23:56:19.000Z | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 9,429 | 2016-02-19T13:41:32.000Z | 2022-03-31T23:29:38.000Z | mypy/semanal_typeddict.py | SwagatSBhuyan/mypy | 218b91c5576a69da51e0813abd0fc7c5fd2d627e | [
"PSF-2.0"
] | 2,770 | 2016-02-19T16:18:19.000Z | 2022-03-31T08:12:49.000Z | """Semantic analysis of TypedDict definitions."""
from mypy.backports import OrderedDict
from typing import Optional, List, Set, Tuple
from typing_extensions import Final
from mypy.types import Type, AnyType, TypeOfAny, TypedDictType, TPDICT_NAMES
from mypy.nodes import (
CallExpr, TypedDictExpr, Expression, Name... | 47.779456 | 99 | 0.583244 |
from mypy.backports import OrderedDict
from typing import Optional, List, Set, Tuple
from typing_extensions import Final
from mypy.types import Type, AnyType, TypeOfAny, TypedDictType, TPDICT_NAMES
from mypy.nodes import (
CallExpr, TypedDictExpr, Expression, NameExpr, Context, StrExpr, BytesExpr, UnicodeExpr,
... | true | true |
f70bbe50147981c90239bd8aac6d747789d5ce75 | 3,673 | py | Python | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | main.py | omergoc/ihbarBotu | a30028be26a65b67e0d5c94547e17ab7f00c2a81 | [
"Apache-2.0"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import os
class App:
def __init__(self):
self.userlist = []
self.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36"}
self.page = 1
... | 39.923913 | 157 | 0.494963 | from bs4 import BeautifulSoup
import requests
import os
class App:
def __init__(self):
self.userlist = []
self.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36"}
self.page = 1
... | true | true |
f70bbe7af3801fa430e6f0bec3f47ab6459ea35a | 4,689 | py | Python | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | esmvaltool/diag_scripts/ocean/diagnostic_profiles.py | ruthlorenz/ESMValTool | c3c61b5341037d01c776c3524c0dd4c767507a3d | [
"Apache-2.0"
] | null | null | null | """
Diagnostic:
Diagnostic to produce images of the profile over time from a cube.
These plost show cube value (ie temperature) on the x-axis, and depth/height
on the y axis. The colour scale is the annual mean of the cube data.
Note that this diagnostic assumes that the preprocessors do the bulk of the
hard work, an... | 26.794286 | 78 | 0.622521 | import logging
import os
import sys
import matplotlib
matplotlib.use('Agg') import matplotlib.pyplot as plt
import iris
import iris.quickplot as qplt
import diagnostic_tools as diagtools
from esmvaltool.diag_scripts.shared import run_diagnostic
logger = logging.getLogger(os.path.basename(__file__))
logging.getLogge... | true | true |
f70bbe7da9fe3c9d459fd663fd9800dbefafe584 | 2,122 | py | Python | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 6 | 2015-06-16T05:17:17.000Z | 2018-08-02T05:50:01.000Z | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 2 | 2018-05-13T13:53:58.000Z | 2019-06-11T14:53:26.000Z | test/python/test_problem_options.py | vlad17/BlitzML | f13e089acf7435416bec17e87e5b3130426fc2cd | [
"BSD-3-Clause"
] | 3 | 2018-08-02T05:50:03.000Z | 2021-02-21T04:44:15.000Z | import unittest
import blitzml
import numpy as np
from common import captured_output
class TestProblemOptions(unittest.TestCase):
def setUp(self):
A = np.arange(20).reshape(5, 4)
b = np.arange(5).astype(np.float64)
self.prob = blitzml.LassoProblem(A, b)
def tearDown(self):
del self.prob
def te... | 30.753623 | 59 | 0.723845 | import unittest
import blitzml
import numpy as np
from common import captured_output
class TestProblemOptions(unittest.TestCase):
def setUp(self):
A = np.arange(20).reshape(5, 4)
b = np.arange(5).astype(np.float64)
self.prob = blitzml.LassoProblem(A, b)
def tearDown(self):
del self.prob
def te... | true | true |
f70bbfa4c46a7b61211c94260b55968ce1dd3e22 | 5,156 | py | Python | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | webscraping/Tokenize.py | jfmendozam/ontotoutra | bea4ceafa62500b23495a6de120884ca40f785e9 | [
"Apache-2.0"
] | null | null | null | import nltk
from langdetect import detect
import csv
class Tokenize:
""" Text tokenizer """
def __init__(self):
""" Default constructor """
self.language = "en"
self.workDirectory = "/run/media/jf/Datos/Tourist Text Mining/datasets/colombia_en/"
self.tagFilename = "t... | 32.840764 | 114 | 0.442591 | import nltk
from langdetect import detect
import csv
class Tokenize:
def __init__(self):
self.language = "en"
self.workDirectory = "/run/media/jf/Datos/Tourist Text Mining/datasets/colombia_en/"
self.tagFilename = "tags_en.csv"
self.wfFilename = "words_freq_en.csv"
... | true | true |
f70bbfe4549985072572f1ddf6fb4774ad2ef538 | 562 | py | Python | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | null | null | null | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | 1 | 2021-11-02T09:22:56.000Z | 2021-11-02T09:22:56.000Z | tests/static/yaff_test_files/sp/yscript.py | t-brink/pyiron | c07552b54a39e3f036ba395325cd4b372af0f794 | [
"BSD-3-Clause"
] | 1 | 2021-11-02T08:35:47.000Z | 2021-11-02T08:35:47.000Z | #! /usr/bin/python
from molmod.units import *
from yaff import *
import h5py, numpy as np
#Setting up system and force field
system = System.from_file('system.chk')
ff = ForceField.generate(system, 'pars.txt', rcut=15.0*angstrom, alpha_scale=3.2, gcut_scale=1.5, smooth_ei=True)
#Setting up output
f = h5py.File('outp... | 23.416667 | 113 | 0.717082 |
from molmod.units import *
from yaff import *
import h5py, numpy as np
system = System.from_file('system.chk')
ff = ForceField.generate(system, 'pars.txt', rcut=15.0*angstrom, alpha_scale=3.2, gcut_scale=1.5, smooth_ei=True)
f = h5py.File('output.h5', mode='w')
hdf5 = HDF5Writer(f, step=1)
r = h5py.File('restart.h5'... | true | true |
f70bc02a75fa586549688f9970179c4376a1feab | 1,410 | py | Python | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | multiprune_plusone/multiprune_plusone.py | 5joono/Swin-Transformer | b5b7e85aa11ad72b2bec2d458fa78066e4c3d0f2 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
os.environ['MKL_THREADING_LAYER'] = 'GNU'
# df = pd.DataFrame(columns=['multiprune', 'headstr', 'pluslayer', 'plushead', 'acc1'])
# df.to_csv("multiprune_plusone.csv",index=False)
prevheadlist = [set([7]),set([11]),set([0]),set([7]),set([9]),set([9])]
plusheadlist = [s... | 45.483871 | 285 | 0.656028 | import os
import numpy as np
import pandas as pd
os.environ['MKL_THREADING_LAYER'] = 'GNU'
prevheadlist = [set([7]),set([11]),set([0]),set([7]),set([9]),set([9])]
plusheadlist = [set(range(12))-{7},set(range(12))-{11},set(range(12))-{0},set(range(12))-{7},set(range(12))-{9},set(range(12))-{9}]
for multiprune in rang... | true | true |
f70bc203e41ad8b576f3082f590f0bd6ff805df1 | 1,969 | py | Python | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 114 | 2019-08-27T11:47:21.000Z | 2022-02-22T11:50:49.000Z | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 31 | 2019-08-26T22:54:26.000Z | 2022-01-10T17:13:27.000Z | pythonturtle/my_turtle.py | Cleverect/PythonTurtle | 961f8d13cd835e55efa8fd04ebbcb0120ec7dec4 | [
"MIT"
] | 38 | 2019-10-05T07:41:33.000Z | 2022-01-15T03:32:23.000Z | import wx
from .misc.helpers import deg_to_rad, rad_to_deg
from .misc.vector import Vector
# Size of the turtle canvas. We assume no user will have a screen
# so big that the canvas will be bigger than this.
BITMAP_SIZE = Vector((2000, 1200))
# Center of the canvas.
origin = BITMAP_SIZE / 2.0
def to_my_angle(angle... | 25.907895 | 75 | 0.643982 | import wx
from .misc.helpers import deg_to_rad, rad_to_deg
from .misc.vector import Vector
BITMAP_SIZE = Vector((2000, 1200))
origin = BITMAP_SIZE / 2.0
def to_my_angle(angle):
return rad_to_deg(-angle) - 180
def from_my_angle(angle):
return deg_to_rad(-angle + 180)
def from_my_pos(pos):
return -po... | true | true |
f70bc44faef09945bde95e95977b11d93d4dcd31 | 1,698 | py | Python | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | null | null | null | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | 9 | 2021-03-10T14:00:17.000Z | 2022-02-27T02:41:57.000Z | cmsis-svd-parsing/main.py | michael-christen/prototypes | 676dbcfc750b7a0b4a88bcd6a9fc8b109d8cd88f | [
"MIT"
] | null | null | null | import click
from cmsis_svd.parser import SVDParser
MCU_OPTIONS = [
'STM32F0xx',
]
MCU2VENDOR_FILE = {
'STM32F0xx': ('STMicro', 'STM32F0xx.svd'),
}
ALL = 'show_all'
def show_register(register):
fields = []
for field in register.fields:
upper_index = field.bit_offset + field.bit_width - 1
... | 29.789474 | 112 | 0.668433 | import click
from cmsis_svd.parser import SVDParser
MCU_OPTIONS = [
'STM32F0xx',
]
MCU2VENDOR_FILE = {
'STM32F0xx': ('STMicro', 'STM32F0xx.svd'),
}
ALL = 'show_all'
def show_register(register):
fields = []
for field in register.fields:
upper_index = field.bit_offset + field.bit_width - 1
... | true | true |
f70bc45cd14977ecb22dd06d2ffddc212674349a | 14,910 | py | Python | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | mycv/train.py | duanzhiihao/mycv | 184b52f7a5c1b6f603122d4f4050952b65ba0ead | [
"MIT"
] | null | null | null | from mycv.utils.general import disable_multithreads
disable_multithreads()
import os
from pathlib import Path
import argparse
from tqdm import tqdm
import math
import torch
import torch.cuda.amp as amp
from torch.optim.lr_scheduler import LambdaLR
from torch.nn.parallel import DistributedDataParallel as DDP
import wand... | 39.340369 | 93 | 0.576526 | from mycv.utils.general import disable_multithreads
disable_multithreads()
import os
from pathlib import Path
import argparse
from tqdm import tqdm
import math
import torch
import torch.cuda.amp as amp
from torch.optim.lr_scheduler import LambdaLR
from torch.nn.parallel import DistributedDataParallel as DDP
import wand... | true | true |
f70bc4b73a9f5b613ca9d0d69fb70d4dd3db32df | 13,451 | py | Python | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | config/settings/base.py | CrazyMath/smcrm | 7027026d450279d63b81147e49cc2be2be622550 | [
"MIT"
] | null | null | null | """
Base settings to build other settings files upon.
"""
from pathlib import Path
import environ
ROOT_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
# smcrm/
APPS_DIR = ROOT_DIR / "smcrm"
env = environ.Env()
READ_DOT_ENV_FILE = env.bool("DJANGO_READ_DOT_ENV_FILE", default=False)
if READ_DOT_ENV_FILE... | 42.701587 | 100 | 0.647833 | from pathlib import Path
import environ
ROOT_DIR = Path(__file__).resolve(strict=True).parent.parent.parent
APPS_DIR = ROOT_DIR / "smcrm"
env = environ.Env()
READ_DOT_ENV_FILE = env.bool("DJANGO_READ_DOT_ENV_FILE", default=False)
if READ_DOT_ENV_FILE:
env.read_env(str(ROOT_DIR / ".env"))
DEBUG = env.bool("D... | true | true |
f70bc4c80a5039b58b01dee499a76cc5f8cb418b | 1,693 | py | Python | utils/imgs_getter.py | albertschr/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 7 | 2019-04-01T01:04:52.000Z | 2019-04-30T09:09:30.000Z | utils/imgs_getter.py | albertschr/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 6 | 2019-03-09T03:17:02.000Z | 2019-04-03T11:51:13.000Z | utils/imgs_getter.py | leeduckgo/wechat_robot_supported_blockchain | 27b257bb9cfc491f0c6b8178a0fe0de9e92dd5c5 | [
"MIT"
] | 6 | 2019-03-08T01:50:40.000Z | 2019-03-22T02:06:02.000Z | # -*- coding: utf-8 -*-
"""
获取YCY图片
"""
import json
import os
import requests
from settings import PROJECT_PATH
class YCYImage(object):
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36"... | 29.189655 | 158 | 0.546958 | import json
import os
import requests
from settings import PROJECT_PATH
class YCYImage(object):
def __init__(self):
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36",
}
def get_img... | true | true |
f70bc60d5ef867aef041dfad4d51b7dc3f6c6c3a | 4,772 | py | Python | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | dace/transformation/testing.py | targetsm/dace | 297b12804a334df8cc6fad5250d5fb0cce20dc6e | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2019-2020 ETH Zurich and the DaCe authors. All rights reserved.
import copy
from io import StringIO
import os
import sys
import traceback
from dace.sdfg import SDFG
from dace.transformation.optimizer import Optimizer
class TransformationTester(Optimizer):
""" An SDFG optimizer that consecutively appl... | 34.085714 | 80 | 0.548617 | import copy
from io import StringIO
import os
import sys
import traceback
from dace.sdfg import SDFG
from dace.transformation.optimizer import Optimizer
class TransformationTester(Optimizer):
def __init__(self,
sdfg: SDFG,
depth=1,
validate=True,
... | true | true |
f70bc898982ac2eebdf07a06cfac61453b208b2a | 1,639 | py | Python | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | snake/main/point.py | megh-khaire/SnakeAIs | 1dbc76a47a3bb4651c426f04671ae8ae12079c97 | [
"Apache-2.0"
] | null | null | null | import pygame
from snake.resources.constants import BLOCK_SIZE, WIDTH, HEIGHT
from snake.resources.directions import Direction
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
self.f = 0
self.g = 0
self.h = 0
self.neighbors = []
self.origin = Non... | 37.25 | 93 | 0.611959 | import pygame
from snake.resources.constants import BLOCK_SIZE, WIDTH, HEIGHT
from snake.resources.directions import Direction
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
self.f = 0
self.g = 0
self.h = 0
self.neighbors = []
self.origin = Non... | true | true |
f70bc89ae28e0a1442364b6237ac83deeb24e3ef | 3,508 | py | Python | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 2 | 2021-03-05T14:30:20.000Z | 2021-04-16T05:31:07.000Z | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 1 | 2019-06-06T12:22:26.000Z | 2019-06-06T12:22:26.000Z | examples/01_modelling/plot_06_synthetic_4d.py | geophysics-ubonn/crtomo_tools | a01b4d31d7250bc729605ae4dc035f108168128e | [
"MIT"
] | 9 | 2019-02-22T12:17:50.000Z | 2021-09-01T01:47:55.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Generating a 4D synthetic data set with noise.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
A 2D space, time and frequency data set is generated for testing purposes in
reda.
"""
###############################################################################
# import... | 37.319149 | 82 | 0.586374 | import os
from glob import glob
import numpy as np
import crtomo
import reda
frequencies = np.logspace(-3, 3, 5)
grid = crtomo.crt_grid(
'data_synthetic_4d/elem.dat', 'data_synthetic_4d/elec.dat'
)
with reda.CreateEnterDirectory('output_synthetic_4d'):
for nr, anomaly_z_pos in enumerate(range(0, -10, -3)):
... | true | true |
f70bc95dea3ed52a2d7c9b3d4c50969f525e91e1 | 619 | py | Python | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | test/test_add_contact.py | Atush/py_learning | 2c25151882eb0fc8864fd868cf20d04311d2bac7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from model.contact import Contact
def test_add_contact(app, json_contacts, db, check_ui):
contact=json_contacts
app.open_home_page()
old_contacts = db.get_contact_list()
app.contact.create(contact)
assert len(old_contacts) + 1 == app.contact.count()
new_contacts = db.g... | 38.6875 | 123 | 0.73021 | from model.contact import Contact
def test_add_contact(app, json_contacts, db, check_ui):
contact=json_contacts
app.open_home_page()
old_contacts = db.get_contact_list()
app.contact.create(contact)
assert len(old_contacts) + 1 == app.contact.count()
new_contacts = db.get_contact_list()
ol... | true | true |
f70bcacb9fbd7c0eef2a877d9d13e34b3353d545 | 6,654 | py | Python | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | src/models/model_evaluate.py | singh-karanpal/Capstone | 807ca3f70276a0dd17244a123a759a914d358424 | [
"MIT"
] | null | null | null | # author: Carlina Kim, Karanpal Singh, Sukriti Trehan, Victor Cuspinera
# date: 2020-06-21
'''This script will read the saved theme/subtheme model(s), padded validation sets and y validation sets for model evaluation,
and will save the evaluation results in the specified directory.
There are 2 parameters Input Path ... | 42.653846 | 175 | 0.625338 |
import pandas as pd
import numpy as np
from docopt import docopt
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score, precision_recall_curve
import matplotlib.pyplot as plt
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
opt = docopt(__doc__)
print("\n-----START: model_e... | true | true |
f70bccb51593edf285f53782a14711199b469634 | 6,083 | py | Python | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | null | null | null | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | 5 | 2021-07-15T20:51:21.000Z | 2022-01-01T03:18:05.000Z | applications/graph/node2vec/randproj.py | aj-prime/lbann | a4cf81386b3f43586057b5312192e180b1259add | [
"Apache-2.0"
] | null | null | null | """Learn embedding weights with LBANN."""
import argparse
import os.path
import numpy as np
import lbann
import lbann.contrib.launcher
import lbann.contrib.args
import data.data_readers
import model.random_projection
import utils
import utils.graph
import utils.snap
root_dir = os.path.dirname(os.path.realpath(__file... | 28.293023 | 75 | 0.687161 | import argparse
import os.path
import numpy as np
import lbann
import lbann.contrib.launcher
import lbann.contrib.args
import data.data_readers
import model.random_projection
import utils
import utils.graph
import utils.snap
root_dir = os.path.dirname(os.path.realpath(__file__))
parser = argparse.ArgumentParser()
... | true | true |
f70bcdde6c2b7e2b286a382114dbe03ea56ebf57 | 3,005 | py | Python | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | tests/lib/bes/testing/framework/test_unit_test_inspect.py | reconstruir/bes | 82ff54b2dadcaef6849d7de424787f1dedace85c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
import os.path as path
from bes.fs.file_util import file_util
from bes.fs.temp_file import temp_file
from bes.testing.unit_test import unit_test
from bes.testing.framework import unit_test_inspect as UTI
fr... | 26.130435 | 90 | 0.671215 |
import os.path as path
from bes.fs.file_util import file_util
from bes.fs.temp_file import temp_file
from bes.testing.unit_test import unit_test
from bes.testing.framework import unit_test_inspect as UTI
from bes.testing.unit_test_skip import raise_skip
class test_unit_test_inspect(unit_test):
@classmethod
def... | true | true |
f70bcdea0c2a415ada92517635d009ce45a9da67 | 840 | py | Python | vcx/wrappers/python3/aries-test-server/inviter.py | sklump/indy-sdk | ee05a89ddf60b42f7483bebf2d89a936e12730df | [
"Apache-2.0"
] | 636 | 2017-05-25T07:45:43.000Z | 2022-03-23T22:30:34.000Z | vcx/wrappers/python3/aries-test-server/inviter.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 731 | 2017-05-29T07:15:08.000Z | 2022-03-31T07:55:58.000Z | vcx/wrappers/python3/aries-test-server/inviter.py | Nick-1979/indy-sdk | e5f812e14962f0d51cf96f843033754ff841ce30 | [
"Apache-2.0"
] | 904 | 2017-05-25T07:45:49.000Z | 2022-03-31T07:43:31.000Z | import json
from vcx.api.connection import Connection
from utils import init_vcx, run_coroutine_in_new_loop
from connection import BaseConnection
class Inviter(BaseConnection):
async def start(self):
await init_vcx()
print("Create a connection to alice and print out the invite details")
c... | 30 | 78 | 0.679762 | import json
from vcx.api.connection import Connection
from utils import init_vcx, run_coroutine_in_new_loop
from connection import BaseConnection
class Inviter(BaseConnection):
async def start(self):
await init_vcx()
print("Create a connection to alice and print out the invite details")
c... | true | true |
f70bce271d5d7f26a676fc36c142470dd67601e0 | 5,593 | py | Python | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 2 | 2019-07-15T00:52:13.000Z | 2019-08-04T07:46:56.000Z | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 2 | 2021-02-08T20:48:35.000Z | 2021-06-01T23:45:13.000Z | server.py | pgneditor/pgneditor | 676334e9325a6d48ac6367d35a03fedf44ec2be9 | [
"MIT"
] | 1 | 2019-08-04T07:47:04.000Z | 2019-08-04T07:47:04.000Z | ###################################################################
import logging
import tornado.escape
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.websocket
import os.path
import uuid
from os import environ
import json
from tornado.options import define, options
import mimetypes
... | 33.491018 | 122 | 0.576971 |
import logging
import tornado.escape
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.websocket
import os.path
import uuid
from os import environ
import json
from tornado.options import define, options
import mimetypes
import random
from tornadose.handlers import EventSource
from torna... | true | true |
f70bcec89189e9db37ce50fe1f17d8e2b524dad4 | 3,994 | py | Python | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | null | null | null | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | 2 | 2015-02-03T06:25:24.000Z | 2015-02-04T10:10:36.000Z | nova/tests/functional/regressions/test_bug_1689692.py | bopopescu/nova-8 | 768d7cc0a632e1a880f00c5840c1ec8051e161be | [
"Apache-2.0"
] | 7 | 2015-01-20T10:30:08.000Z | 2020-02-05T10:29:05.000Z | # Copyright 2017 Huawei Technologies Co.,LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 46.988235 | 79 | 0.686279 |
from nova import test
from nova.tests import fixtures as nova_fixtures
from nova.tests.functional import integrated_helpers
from nova.tests.unit import cast_as_call
from nova.tests.unit.image import fake as image_fake
from nova.tests.unit import policy_fixture
class ServerListLimitMarkerCell0Test(test.TestCase,
... | true | true |
f70bd07a185c559699661056ded03831035519a5 | 12,204 | py | Python | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/isic-archive | 7cd8097886d685ec629e2fcba079271fb77d028f | [
"Apache-2.0"
] | 42 | 2015-12-12T14:05:46.000Z | 2022-03-26T15:20:39.000Z | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/isic-archive | 7cd8097886d685ec629e2fcba079271fb77d028f | [
"Apache-2.0"
] | 494 | 2015-07-09T16:14:12.000Z | 2021-03-09T09:37:36.000Z | isic_archive/models/segmentation_helpers/scikit.py | ImageMarkup/uda | d221af3368baf3a06ecab67e69e9d0077426c8f9 | [
"Apache-2.0"
] | 12 | 2015-08-20T14:20:48.000Z | 2020-10-20T01:14:44.000Z | import collections
import io
from typing import BinaryIO, Tuple, Union
import warnings
import numpy
import skimage.io
import skimage.measure
import skimage.morphology
import skimage.segmentation
import skimage.transform
from .base import BaseSegmentationHelper
class ScikitSegmentationHelper(BaseSegmentationHelper):... | 37.207317 | 100 | 0.619879 | import collections
import io
from typing import BinaryIO, Tuple, Union
import warnings
import numpy
import skimage.io
import skimage.measure
import skimage.morphology
import skimage.segmentation
import skimage.transform
from .base import BaseSegmentationHelper
class ScikitSegmentationHelper(BaseSegmentationHelper):... | true | true |
f70bd2041fc86759e5bde0e6cb049a727675d6f9 | 13,026 | py | Python | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | mmdet/models/backbones/res2net.py | yypurpose/mmdetection | ec6bfd96eae0af047c623f3d1ec31b0b3f1f4a6c | [
"Apache-2.0"
] | null | null | null | import math
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import ge... | 37.005682 | 80 | 0.513511 | import math
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import ge... | true | true |
f70bd2c627e3404c5ea43791336a763164c6fba4 | 1,318 | py | Python | HDPython/ast/ast_classes/ast_op_stream_out.py | HardwareDesignWithPython/HDPython | aade03aaa092b1684fa12bffd17674cf1c45f5ac | [
"MIT"
] | null | null | null | HDPython/ast/ast_classes/ast_op_stream_out.py | HardwareDesignWithPython/HDPython | aade03aaa092b1684fa12bffd17674cf1c45f5ac | [
"MIT"
] | null | null | null | HDPython/ast/ast_classes/ast_op_stream_out.py | HardwareDesignWithPython/HDPython | aade03aaa092b1684fa12bffd17674cf1c45f5ac | [
"MIT"
] | 1 | 2021-10-20T20:08:16.000Z | 2021-10-20T20:08:16.000Z | from HDPython.ast.ast_classes.ast_base import v_ast_base, add_class
import HDPython.hdl_converter as hdl
from HDPython.ast.ast_hdl_error import HDPython_error
from HDPython.base import HDPython_base
class v_re_assigne_rhsift(v_ast_base):
def __init__(self,lhs, rhs,context=None, astParser=None):
self.lhs ... | 33.794872 | 116 | 0.695751 | from HDPython.ast.ast_classes.ast_base import v_ast_base, add_class
import HDPython.hdl_converter as hdl
from HDPython.ast.ast_hdl_error import HDPython_error
from HDPython.base import HDPython_base
class v_re_assigne_rhsift(v_ast_base):
def __init__(self,lhs, rhs,context=None, astParser=None):
self.lhs ... | true | true |
f70bd2ee450be0f82157aa65881304ad6a24cb47 | 1,884 | py | Python | dask_kubernetes/conftest.py | ddelange/dask-kubernetes | 42bcf9817ea963bf048f9dd06caec1622656302a | [
"BSD-3-Clause"
] | 1 | 2022-01-20T12:38:27.000Z | 2022-01-20T12:38:27.000Z | dask_kubernetes/conftest.py | ddelange/dask-kubernetes | 42bcf9817ea963bf048f9dd06caec1622656302a | [
"BSD-3-Clause"
] | null | null | null | dask_kubernetes/conftest.py | ddelange/dask-kubernetes | 42bcf9817ea963bf048f9dd06caec1622656302a | [
"BSD-3-Clause"
] | null | null | null | import pytest
import pathlib
import os
import subprocess
import tempfile
from kopf.testing import KopfRunner
from dask_kubernetes.common.utils import check_dependency
DIR = pathlib.Path(__file__).parent.absolute()
check_dependency("helm")
check_dependency("kubectl")
check_dependency("docker")
@pytest.fixture()
a... | 25.808219 | 76 | 0.701168 | import pytest
import pathlib
import os
import subprocess
import tempfile
from kopf.testing import KopfRunner
from dask_kubernetes.common.utils import check_dependency
DIR = pathlib.Path(__file__).parent.absolute()
check_dependency("helm")
check_dependency("kubectl")
check_dependency("docker")
@pytest.fixture()
a... | true | true |
f70bd49fe5654e00114c7d8e83bb1de6aef33e5b | 1,019 | py | Python | bigquery/samples/tests/test_query_to_arrow.py | ryanyuan/google-cloud-python | db481bfdd6816d020d99df0d4caa307358ab1141 | [
"Apache-2.0"
] | 2 | 2021-11-26T07:08:43.000Z | 2022-03-07T20:20:04.000Z | bigquery/samples/tests/test_query_to_arrow.py | ryanyuan/google-cloud-python | db481bfdd6816d020d99df0d4caa307358ab1141 | [
"Apache-2.0"
] | null | null | null | bigquery/samples/tests/test_query_to_arrow.py | ryanyuan/google-cloud-python | db481bfdd6816d020d99df0d4caa307358ab1141 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 33.966667 | 74 | 0.75368 |
import pyarrow
from .. import query_to_arrow
def test_query_to_arrow(capsys, client):
arrow_table = query_to_arrow.query_to_arrow(client)
out, err = capsys.readouterr()
assert "Downloaded 8 rows, 2 columns." in out
arrow_schema = arrow_table.schema
assert arrow_schema.names == ["race", "partic... | true | true |
f70bd5b228ad260502fad0f468efc7ec516cb86b | 4,898 | py | Python | src/oci/autoscaling/models/auto_scaling_policy_summary.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 249 | 2017-09-11T22:06:05.000Z | 2022-03-04T17:09:29.000Z | src/oci/autoscaling/models/auto_scaling_policy_summary.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 228 | 2017-09-11T23:07:26.000Z | 2022-03-23T10:58:50.000Z | src/oci/autoscaling/models/auto_scaling_policy_summary.py | Manny27nyc/oci-python-sdk | de60b04e07a99826254f7255e992f41772902df7 | [
"Apache-2.0",
"BSD-3-Clause"
] | 224 | 2017-09-27T07:32:43.000Z | 2022-03-25T16:55:42.000Z | # coding: utf-8
# Copyright (c) 2016, 2021, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 29.865854 | 245 | 0.64067 |
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class AutoScalingPolicySummary(object):
def __init__(self, **kwargs):
self.swagger_types = {
'id': 'str',
... | true | true |
f70bd624daea884c43b42cf57519b4e3a69a5311 | 1,413 | py | Python | python/consumer.py | vishnuhd/getting-started-with-apache-kafka | 7b900fc419cbcda8ab882121c2a72e63bdc8b2c4 | [
"Apache-2.0"
] | 14 | 2018-11-01T16:11:41.000Z | 2019-06-03T14:52:03.000Z | python/consumer.py | vishnuhd/getting-started-with-apache-kafka | 7b900fc419cbcda8ab882121c2a72e63bdc8b2c4 | [
"Apache-2.0"
] | 1 | 2018-10-31T15:39:24.000Z | 2018-11-30T03:05:10.000Z | python/consumer.py | vishnuhd/getting-started-with-apache-kafka | 7b900fc419cbcda8ab882121c2a72e63bdc8b2c4 | [
"Apache-2.0"
] | 8 | 2018-10-31T15:39:39.000Z | 2019-06-06T12:21:55.000Z | from confluent_kafka import Consumer, KafkaException, KafkaError
import sys
import logging
from pprint import pformat
def print_assignment(consumer, partitions):
print('Assignment:', partitions)
if __name__ == '__main__':
conf = {
'bootstrap.servers': 'localhost:9092',
'group.id': 'de... | 31.4 | 82 | 0.515924 | from confluent_kafka import Consumer, KafkaException, KafkaError
import sys
import logging
from pprint import pformat
def print_assignment(consumer, partitions):
print('Assignment:', partitions)
if __name__ == '__main__':
conf = {
'bootstrap.servers': 'localhost:9092',
'group.id': 'de... | true | true |
f70bd6f163acbc02bb3dfe9ad87f6d700204f840 | 73,983 | py | Python | WrightTools/data/_data.py | untzag/WrightTools | 05480d2f91ceeca422d9e5ac381fce1840207cb0 | [
"MIT"
] | 12 | 2017-07-11T15:58:12.000Z | 2021-05-10T20:33:26.000Z | WrightTools/data/_data.py | untzag/WrightTools | 05480d2f91ceeca422d9e5ac381fce1840207cb0 | [
"MIT"
] | 808 | 2015-04-12T00:36:08.000Z | 2022-03-27T21:06:06.000Z | WrightTools/data/_data.py | untzag/WrightTools | 05480d2f91ceeca422d9e5ac381fce1840207cb0 | [
"MIT"
] | 9 | 2017-07-22T18:54:23.000Z | 2022-02-17T20:31:05.000Z | """Central data class and associated."""
# --- import --------------------------------------------------------------------------------------
import collections
import operator
import functools
import warnings
import numpy as np
import h5py
import scipy
from scipy.interpolate import griddata, interp1d
from .._gr... | 38.273668 | 109 | 0.541989 |
import collections
import operator
import functools
import warnings
import numpy as np
import h5py
import scipy
from scipy.interpolate import griddata, interp1d
from .._group import Group
from .. import collection as wt_collection
from .. import exceptions as wt_exceptions
from .. import kit as wt_kit
from .. i... | true | true |
f70bd75e36b14f005bee3275929a42154f09dfe5 | 54,196 | py | Python | tensorflow/python/framework/func_graph.py | ahmedsabie/tensorflow | 1c47355978f562a6a40cd8b0597e2638fb73e07d | [
"Apache-2.0"
] | 2 | 2020-04-02T11:52:00.000Z | 2020-05-29T09:02:00.000Z | tensorflow/python/framework/func_graph.py | sseung0703/tensorflow | be084bd7a4dd241eb781fc704f57bcacc5c9b6dd | [
"Apache-2.0"
] | 1 | 2020-05-16T01:56:36.000Z | 2020-05-16T01:56:36.000Z | tensorflow/python/framework/func_graph.py | sseung0703/tensorflow | be084bd7a4dd241eb781fc704f57bcacc5c9b6dd | [
"Apache-2.0"
] | 1 | 2021-12-06T17:11:35.000Z | 2021-12-06T17:11:35.000Z | # 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... | 41.721324 | 97 | 0.694811 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections as py_collections
import itertools
import weakref
import numpy as np
from tensorflow.core.framework import attr_value_pb2
from tensorflow.python.eager import context
from tensorflow.python... | true | true |
f70bd7df44af8f81da661aee94f5ea0c7b3f53cd | 245 | py | Python | scripts/project_package_name/setup.py | godzilla-but-nicer/SporeLoss | 8159a628e5f17191254583c053891070ba3d6e7f | [
"MIT"
] | null | null | null | scripts/project_package_name/setup.py | godzilla-but-nicer/SporeLoss | 8159a628e5f17191254583c053891070ba3d6e7f | [
"MIT"
] | null | null | null | scripts/project_package_name/setup.py | godzilla-but-nicer/SporeLoss | 8159a628e5f17191254583c053891070ba3d6e7f | [
"MIT"
] | 1 | 2022-01-10T00:40:05.000Z | 2022-01-10T00:40:05.000Z | #!/usr/bin/env python
# encoding: utf-8
from distutils.core import setup
setup(name='project_package_name',
version='0.1',
description = 'project description',
author = '...',
packages = ['project_package_name'],
)
| 20.416667 | 43 | 0.636735 |
from distutils.core import setup
setup(name='project_package_name',
version='0.1',
description = 'project description',
author = '...',
packages = ['project_package_name'],
)
| true | true |
f70bda91f9c7115e3b24b393a5a89e703a6ef8f7 | 2,137 | py | Python | model.py | JulianNovakovic/Vislice | 061a252e6aafd60157b740cfcca9b2d76ff27926 | [
"MIT"
] | null | null | null | model.py | JulianNovakovic/Vislice | 061a252e6aafd60157b740cfcca9b2d76ff27926 | [
"MIT"
] | null | null | null | model.py | JulianNovakovic/Vislice | 061a252e6aafd60157b740cfcca9b2d76ff27926 | [
"MIT"
] | null | null | null | STEVILO_DOVOLJENIH_NAPAK = 10
PRAVILNA_CRKA = '+'
PONOVLJENA_CRKA = 'o'
NAPACNA_CRKA = '-'
ZMAGA = 'W'
PORAZ = 'X'
class Igra:
def __init__(self, geslo, crke):
self.geslo = geslo
self.crke = crke[:]
def napacne_crke(self):
return [crka for crka in self.crke if crka not in self.gesl... | 24.848837 | 76 | 0.560131 | STEVILO_DOVOLJENIH_NAPAK = 10
PRAVILNA_CRKA = '+'
PONOVLJENA_CRKA = 'o'
NAPACNA_CRKA = '-'
ZMAGA = 'W'
PORAZ = 'X'
class Igra:
def __init__(self, geslo, crke):
self.geslo = geslo
self.crke = crke[:]
def napacne_crke(self):
return [crka for crka in self.crke if crka not in self.gesl... | true | true |
f70bdaa5cd1ef8f895b12e61c5190d35da36ec24 | 9,996 | py | Python | tools/yaml-nic-config-2-script.py | smolar/tripleo-heat-templates | 6b858eb39f96cc2a81a115246fd4a2ef6a0b0097 | [
"Apache-2.0"
] | null | null | null | tools/yaml-nic-config-2-script.py | smolar/tripleo-heat-templates | 6b858eb39f96cc2a81a115246fd4a2ef6a0b0097 | [
"Apache-2.0"
] | null | null | null | tools/yaml-nic-config-2-script.py | smolar/tripleo-heat-templates | 6b858eb39f96cc2a81a115246fd4a2ef6a0b0097 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software... | 33.884746 | 87 | 0.560524 |
import argparse
import collections
import datetime
import os
import re
import shutil
import six
import sys
import traceback
import yaml
def parse_opts(argv):
parser = argparse.ArgumentParser(
description='Convert an old style NIC config file into the new format '
'using run-os-net-con... | true | true |
f70bdc3a15e7b88c2514b1fcf2a401008c840d78 | 336 | py | Python | geekshop/basketapp/urls.py | TonyBrother32/Django-shop | 723a1eb9ff5b74fa968e8c09268bbcbb2fed857c | [
"MIT"
] | null | null | null | geekshop/basketapp/urls.py | TonyBrother32/Django-shop | 723a1eb9ff5b74fa968e8c09268bbcbb2fed857c | [
"MIT"
] | null | null | null | geekshop/basketapp/urls.py | TonyBrother32/Django-shop | 723a1eb9ff5b74fa968e8c09268bbcbb2fed857c | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
app_name = 'basketapp'
urlpatterns = [
path('', views.view, name='view'),
path('add/<int:product_id>/', views.add, name='add'),
path('remove/<int:basket_item_id>)/', views.remove, name='remove'),
path('edit/<int:basket_item_id>/<int:quantity>/', views.edit,... | 30.545455 | 78 | 0.666667 | from django.urls import path
from . import views
app_name = 'basketapp'
urlpatterns = [
path('', views.view, name='view'),
path('add/<int:product_id>/', views.add, name='add'),
path('remove/<int:basket_item_id>)/', views.remove, name='remove'),
path('edit/<int:basket_item_id>/<int:quantity>/', views.edit,... | true | true |
f70bddf32a2b465ec48d7297b542087af6cbef33 | 1,441 | py | Python | google/cloud/monitoring_dashboard/v1/__init__.py | vam-google/python-monitoring-dashboards | effbff2703ade03269ad8ddacf4ab31637d8a799 | [
"Apache-2.0"
] | null | null | null | google/cloud/monitoring_dashboard/v1/__init__.py | vam-google/python-monitoring-dashboards | effbff2703ade03269ad8ddacf4ab31637d8a799 | [
"Apache-2.0"
] | null | null | null | google/cloud/monitoring_dashboard/v1/__init__.py | vam-google/python-monitoring-dashboards | effbff2703ade03269ad8ddacf4ab31637d8a799 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 34.309524 | 81 | 0.762665 |
from __future__ import absolute_import
import sys
import warnings
from google.cloud.monitoring_dashboard.v1 import types
from google.cloud.monitoring_dashboard.v1.gapic import dashboards_service_client
from google.cloud.monitoring_dashboard.v1.gapic import enums
if sys.version_info[:2] == (2, 7):
message = (
... | true | true |
f70bdf29fab61dd93d8f8216d53970e02f7898fe | 170 | py | Python | tum/computational-aspects-of-machine-learning/paper/sgd.py | nyxcalamity/classwork | dfe47a40fe57ec5e0ccfd672a8dcaf246386de99 | [
"Apache-2.0"
] | 8 | 2017-02-10T19:12:21.000Z | 2020-09-03T00:08:40.000Z | tum/computational-aspects-of-machine-learning/paper/sgd.py | nyxcalamity/classwork | dfe47a40fe57ec5e0ccfd672a8dcaf246386de99 | [
"Apache-2.0"
] | null | null | null | tum/computational-aspects-of-machine-learning/paper/sgd.py | nyxcalamity/classwork | dfe47a40fe57ec5e0ccfd672a8dcaf246386de99 | [
"Apache-2.0"
] | 15 | 2016-05-02T11:00:28.000Z | 2022-01-20T03:55:35.000Z | for (x_t,y_t) in data_set:
loss_fn = f(w, x_t, y_t)
# compute gradient
d_loss_fn_wrt_w = ...
w -= gamma * d_loss_fn_wrt_w
if <stopping condition is met>:
return w
| 21.25 | 32 | 0.682353 | for (x_t,y_t) in data_set:
loss_fn = f(w, x_t, y_t)
d_loss_fn_wrt_w = ...
w -= gamma * d_loss_fn_wrt_w
if <stopping condition is met>:
return w
| false | true |
f70bdf701bbdb41d790f24af7996716a5faf0ff5 | 7,004 | py | Python | python/GafferUI/Editor.py | sebaDesmet/gaffer | 47b2d093c40452bd77947e3b5bd0722a366c8d59 | [
"BSD-3-Clause"
] | null | null | null | python/GafferUI/Editor.py | sebaDesmet/gaffer | 47b2d093c40452bd77947e3b5bd0722a366c8d59 | [
"BSD-3-Clause"
] | null | null | null | python/GafferUI/Editor.py | sebaDesmet/gaffer | 47b2d093c40452bd77947e3b5bd0722a366c8d59 | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2011-2012, John Haddon. All rights reserved.
# Copyright (c) 2012-2013, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted prov... | 32.276498 | 121 | 0.719446 | # IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
import types
import IECore
import Gaffer
import GafferUI
from Qt import QtCore
from Qt import QtWidgets
class _EditorMetaclass( Gaffer.Trackable.__class__ ) :
def __call__( cls, *args, **kw ) :
instance = type.__call__( cls, *args, *... | true | true |
f70be103caf3bbb85e059906041c636a547700ab | 4,304 | py | Python | tests/fixtures/pooldata.py | curvefi/deposit-and-stake-zap | 2183cfa03d23b9a1e572d46332d73ad30b39845d | [
"MIT"
] | null | null | null | tests/fixtures/pooldata.py | curvefi/deposit-and-stake-zap | 2183cfa03d23b9a1e572d46332d73ad30b39845d | [
"MIT"
] | null | null | null | tests/fixtures/pooldata.py | curvefi/deposit-and-stake-zap | 2183cfa03d23b9a1e572d46332d73ad30b39845d | [
"MIT"
] | null | null | null | import pytest
import brownie
from brownie import Contract, ZERO_ADDRESS
# gusd
gusd_token_address = "0xD2967f45c4f384DEEa880F807Be904762a3DeA07"
gusd_gauge_addresses = "0xC5cfaDA84E902aD92DD40194f0883ad49639b023"
# susd
susd_token_address = '0xC25a3A3b969415c80451098fa907EC722572917F'
susd_gauge_address = '0xA9099689... | 31.881481 | 124 | 0.766496 | import pytest
import brownie
from brownie import Contract, ZERO_ADDRESS
gusd_token_address = "0xD2967f45c4f384DEEa880F807Be904762a3DeA07"
gusd_gauge_addresses = "0xC5cfaDA84E902aD92DD40194f0883ad49639b023"
susd_token_address = '0xC25a3A3b969415c80451098fa907EC722572917F'
susd_gauge_address = '0xA90996896660DEcC6E9976... | true | true |
f70be13b3acd2839e94011c785fa155fb31ccdcb | 31,880 | py | Python | app/weibo/parsers.py | lin5547/cola | 10e968ec55babf4d64135922e0c5e20b6a862fca | [
"Apache-2.0"
] | null | null | null | app/weibo/parsers.py | lin5547/cola | 10e968ec55babf4d64135922e0c5e20b6a862fca | [
"Apache-2.0"
] | null | null | null | app/weibo/parsers.py | lin5547/cola | 10e968ec55babf4d64135922e0c5e20b6a862fca | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (c) 2013 Qin Xuye <qin@qinxuye.me>
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... | 41.892247 | 109 | 0.476066 | '''
Copyright (c) 2013 Qin Xuye <qin@qinxuye.me>
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 wr... | false | true |
f70be16b7667d5ef4e1fe1961c226707b73ee15d | 795 | py | Python | todo/task/repository.py | matiasjavierlucero/todo-challenge | 4c0dbc518a5e8fc9d99b6034163be14246fd6666 | [
"MIT"
] | null | null | null | todo/task/repository.py | matiasjavierlucero/todo-challenge | 4c0dbc518a5e8fc9d99b6034163be14246fd6666 | [
"MIT"
] | null | null | null | todo/task/repository.py | matiasjavierlucero/todo-challenge | 4c0dbc518a5e8fc9d99b6034163be14246fd6666 | [
"MIT"
] | null | null | null | from decimal import Decimal
from django.db.models import Sum
from django.shortcuts import get_object_or_404
from datetime import date, timedelta
from .models import Task
class TaskRepository:
"""Repository for tasks."""
def list(self):
return Task.objects.all()
def create(self, title: str, descr... | 25.645161 | 64 | 0.654088 | from decimal import Decimal
from django.db.models import Sum
from django.shortcuts import get_object_or_404
from datetime import date, timedelta
from .models import Task
class TaskRepository:
def list(self):
return Task.objects.all()
def create(self, title: str, description: str, status: int):
... | true | true |
f70be1a781ef564608b08997e1b98fa857b29328 | 17,551 | py | Python | sdk/python/pulumi_azure_nextgen/network/v20190401/express_route_circuit_peering.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/network/v20190401/express_route_circuit_peering.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/network/v20190401/express_route_circuit_peering.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 51.469208 | 2,845 | 0.685089 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['ExpressRouteCircuitPeering']
class ExpressRouteCircuitPeering(pulumi.CustomResource):
def __init__(__self__,... | true | true |
f70be1eb045c7bfc67774263850d50bd2296ed60 | 1,394 | py | Python | mdn/yari/testing/integration/conftest.py | private-face/webextensions-docset | 9743056dbb3d3ccd8a20a665fcb0f98d388819a6 | [
"MIT"
] | 1 | 2021-11-22T20:01:26.000Z | 2021-11-22T20:01:26.000Z | mdn/yari/testing/integration/conftest.py | Kapeli/mdn-offline-build | e700fcc597be32dde7a2cdadeaa56343ccf0a678 | [
"MIT"
] | 1 | 2021-07-02T18:35:07.000Z | 2021-07-02T18:35:07.000Z | mdn/yari/testing/integration/conftest.py | Kapeli/mdn-offline-build | e700fcc597be32dde7a2cdadeaa56343ccf0a678 | [
"MIT"
] | 2 | 2021-06-21T12:09:37.000Z | 2021-07-02T12:15:52.000Z | from urllib.parse import urlsplit, urlunsplit
import pytest
import requests
_KUMA_STATUS = None
def pytest_configure(config):
"""Configure pytest for the Kuma deployment under test."""
global _KUMA_STATUS
# The pytest-base-url plugin adds --base-url, and sets the default from
# environment variab... | 27.88 | 84 | 0.721664 | from urllib.parse import urlsplit, urlunsplit
import pytest
import requests
_KUMA_STATUS = None
def pytest_configure(config):
global _KUMA_STATUS
if config.option.base_url is None:
config.option.base_url = "https://developer.allizom.org"
base_url = config.getoption("base_url")
... | true | true |
f70be1fc76ddddc85e3bee71647489d92784fa4f | 74 | py | Python | indoorair/foundations/urls.py | juby-gif/indoorair_webapp-b | 51f8799e8b124748bec7f1e52a3b73bcb4c119a8 | [
"BSD-3-Clause"
] | null | null | null | indoorair/foundations/urls.py | juby-gif/indoorair_webapp-b | 51f8799e8b124748bec7f1e52a3b73bcb4c119a8 | [
"BSD-3-Clause"
] | null | null | null | indoorair/foundations/urls.py | juby-gif/indoorair_webapp-b | 51f8799e8b124748bec7f1e52a3b73bcb4c119a8 | [
"BSD-3-Clause"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
]
| 9.25 | 28 | 0.675676 | from django.urls import path
from . import views
urlpatterns = [
]
| true | true |
f70be2546519bf0303806a830af9c2a53f69831e | 3,946 | py | Python | test/functional/feature_minchainwork.py | puzcoin/catcoin | dc3ad8d15b0c3303e8396514dffeb7685f0edf63 | [
"MIT"
] | null | null | null | test/functional/feature_minchainwork.py | puzcoin/catcoin | dc3ad8d15b0c3303e8396514dffeb7685f0edf63 | [
"MIT"
] | null | null | null | test/functional/feature_minchainwork.py | puzcoin/catcoin | dc3ad8d15b0c3303e8396514dffeb7685f0edf63 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017 The Catcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test logic for setting nMinimumChainWork on command line.
Nodes don't consider themselves out of "initial b... | 43.844444 | 108 | 0.701977 |
import time
from test_framework.test_framework import CatcoinTestFramework
from test_framework.util import connect_nodes, assert_equal
REGTEST_WORK_PER_BLOCK = 2
class MinimumChainWorkTest(CatcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 3
... | true | true |
f70be362165a8cf117cba8d1545702e5e64fc642 | 783 | py | Python | data structures/array/1.4 palindromePermutation.py | iFun/Algo | e9e2d42c72c595e0cd138dcb0150b6a1bdc7c073 | [
"MIT"
] | null | null | null | data structures/array/1.4 palindromePermutation.py | iFun/Algo | e9e2d42c72c595e0cd138dcb0150b6a1bdc7c073 | [
"MIT"
] | null | null | null | data structures/array/1.4 palindromePermutation.py | iFun/Algo | e9e2d42c72c595e0cd138dcb0150b6a1bdc7c073 | [
"MIT"
] | null | null | null | # given a string check if its palindromePermutation
def solution(s):
s = s.replace(' ','')
if len(s) == 0 or len (s) == 1:
return True
if len(s) == 2:
return s[0] == s[1]
hashTable = [0] * 128
for i in xrange(0,len(s)):
tmp = ord(s[i])
if hashTable[tmp] ... | 25.258065 | 55 | 0.510856 |
def solution(s):
s = s.replace(' ','')
if len(s) == 0 or len (s) == 1:
return True
if len(s) == 2:
return s[0] == s[1]
hashTable = [0] * 128
for i in xrange(0,len(s)):
tmp = ord(s[i])
if hashTable[tmp] == 0:
hashTable[tmp] = 1
else:
... | false | true |
f70be36c4203d27c522cdba5e3ca275e4037d7b3 | 15,955 | py | Python | qzone/Qzone.py | lwpdzq/spiders | 68f471f3dd92e1a59fe9ccc130fd529f1def3644 | [
"MIT"
] | null | null | null | qzone/Qzone.py | lwpdzq/spiders | 68f471f3dd92e1a59fe9ccc130fd529f1def3644 | [
"MIT"
] | null | null | null | qzone/Qzone.py | lwpdzq/spiders | 68f471f3dd92e1a59fe9ccc130fd529f1def3644 | [
"MIT"
] | null | null | null | import time
import re
import random
import requests
from urllib import parse
import qq_init as qq
import pymongo
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
class Spider(object):
def __init__(self):
'''
初始化
'''
chrome_options... | 51.302251 | 471 | 0.443936 | import time
import re
import random
import requests
from urllib import parse
import qq_init as qq
import pymongo
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
class Spider(object):
def __init__(self):
chrome_options = Options()
s... | true | true |
f70be413dfeca425596a01e87c4bbb46375b6a26 | 1,194 | py | Python | src/napalm_digineo_procurve/device.py | digineo/napalm-digineo-procurve | 477befcd09b0ce209c42f9742b2c4bb0986fceb8 | [
"Apache-2.0"
] | 4 | 2019-06-07T07:59:56.000Z | 2020-12-09T19:27:56.000Z | src/napalm_digineo_procurve/device.py | digineo/napalm-digineo-procurve | 477befcd09b0ce209c42f9742b2c4bb0986fceb8 | [
"Apache-2.0"
] | 1 | 2021-03-31T19:04:16.000Z | 2021-03-31T19:04:16.000Z | src/napalm_digineo_procurve/device.py | digineo/napalm-digineo-procurve | 477befcd09b0ce209c42f9742b2c4bb0986fceb8 | [
"Apache-2.0"
] | 1 | 2019-12-24T11:05:24.000Z | 2019-12-24T11:05:24.000Z | import typing
import netmiko
import napalm_digineo_procurve.queries.interfaces
import napalm_digineo_procurve.queries.lldp_neighbors
import napalm_digineo_procurve.queries.device_info
import napalm_digineo_procurve.queries.system_info
import napalm_digineo_procurve.queries.uptime
def get_uptime(device: netmiko.Base... | 31.421053 | 75 | 0.836683 | import typing
import netmiko
import napalm_digineo_procurve.queries.interfaces
import napalm_digineo_procurve.queries.lldp_neighbors
import napalm_digineo_procurve.queries.device_info
import napalm_digineo_procurve.queries.system_info
import napalm_digineo_procurve.queries.uptime
def get_uptime(device: netmiko.Base... | true | true |
f70be4df0b57c7639cd90df01dd882374cfb6959 | 413 | py | Python | test.py | Oversize204/cvbpy_show_cases | ccd352761aa9bfab220feb888e6639f3cb9a5ad7 | [
"MIT"
] | null | null | null | test.py | Oversize204/cvbpy_show_cases | ccd352761aa9bfab220feb888e6639f3cb9a5ad7 | [
"MIT"
] | null | null | null | test.py | Oversize204/cvbpy_show_cases | ccd352761aa9bfab220feb888e6639f3cb9a5ad7 | [
"MIT"
] | null | null | null | import os
import cvb
print("acquire images from CVMock.vin")
device = cvb.DeviceFactory.open("/opt/cvb/drivers/CVMock.vin")
stream = device.stream
stream.start()
for i in range(5):
image, status = stream.wait()
if status == cvb.WaitStatus.Ok:
image_file = os.path.join(".", ".cvb", "test" + str(i) + ... | 22.944444 | 72 | 0.644068 | import os
import cvb
print("acquire images from CVMock.vin")
device = cvb.DeviceFactory.open("/opt/cvb/drivers/CVMock.vin")
stream = device.stream
stream.start()
for i in range(5):
image, status = stream.wait()
if status == cvb.WaitStatus.Ok:
image_file = os.path.join(".", ".cvb", "test" + str(i) + ... | true | true |
f70be525727b66a9997338896913e2083a32e400 | 222 | py | Python | MinkowskiEngine/MinkowskiFunctional.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | 1 | 2019-05-12T00:06:10.000Z | 2019-05-12T00:06:10.000Z | MinkowskiEngine/MinkowskiFunctional.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | null | null | null | MinkowskiEngine/MinkowskiFunctional.py | dendisuhubdy/MinkowskiEngine | a1cdcba68ef925bfefed2fe161f62e1ec78573b9 | [
"MIT"
] | null | null | null | import torch.nn.functional as F
from SparseTensor import SparseTensor
def relu(input):
output = F.relu(input.F)
return SparseTensor(
output, coords_key=input.coords_key, coords_manager=input.coords_man)
| 22.2 | 77 | 0.752252 | import torch.nn.functional as F
from SparseTensor import SparseTensor
def relu(input):
output = F.relu(input.F)
return SparseTensor(
output, coords_key=input.coords_key, coords_manager=input.coords_man)
| true | true |
f70be67a2d18174e2398b18aa0d130f82252a8f8 | 994 | py | Python | app/core/models.py | shreyask543/Recipe-api | 34c43db4ee6cdcd90cdcf8e88a536ef66452ddb6 | [
"MIT"
] | null | null | null | app/core/models.py | shreyask543/Recipe-api | 34c43db4ee6cdcd90cdcf8e88a536ef66452ddb6 | [
"MIT"
] | null | null | null | app/core/models.py | shreyask543/Recipe-api | 34c43db4ee6cdcd90cdcf8e88a536ef66452ddb6 | [
"MIT"
] | null | null | null | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
if not email:
raise ValueError('User must have an email address')
... | 29.235294 | 90 | 0.709256 | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
class UserManager(BaseUserManager):
def create_user(self, email, password=None, **extra_fields):
if not email:
raise ValueError('User must have an email address')
... | true | true |
f70be7041aa102cb22498dc3b3b101939f65d8a3 | 40,028 | py | Python | training/networks_stylegan2_unweighted.py | RuiLiFeng/noise | 545c049fbafa8b4edad09286cf631b4c8fb6a251 | [
"BSD-Source-Code"
] | null | null | null | training/networks_stylegan2_unweighted.py | RuiLiFeng/noise | 545c049fbafa8b4edad09286cf631b4c8fb6a251 | [
"BSD-Source-Code"
] | null | null | null | training/networks_stylegan2_unweighted.py | RuiLiFeng/noise | 545c049fbafa8b4edad09286cf631b4c8fb6a251 | [
"BSD-Source-Code"
] | null | null | null | # Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, visit
# https://nvlabs.github.io/stylegan2/license.html
"""Network architectures used in the StyleGAN2 paper."""
import numpy as np
import tensorfl... | 53.228723 | 238 | 0.610048 |
"""Network architectures used in the StyleGAN2 paper."""
import numpy as np
import tensorflow as tf
import dnnlib
import dnnlib.tflib as tflib
from dnnlib.tflib.ops.upfirdn_2d import upsample_2d, downsample_2d, upsample_conv_2d, conv_downsample_2d
from dnnlib.tflib.ops.fused_bias_act import fused_bias_act
def get... | false | true |
f70be84014189656325b4993a31615b0adec7c88 | 3,617 | py | Python | rbac/common/role/reject_owner.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | rbac/common/role/reject_owner.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 1 | 2018-09-10T19:12:31.000Z | 2018-09-10T19:12:31.000Z | rbac/common/role/reject_owner.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 34.447619 | 79 | 0.656345 | import logging
from rbac.common import addresser
from rbac.common.proposal.proposal_reject import ProposalReject
LOGGER = logging.getLogger(__name__)
class RejectAddRoleOwner(ProposalReject):
def __init__(self):
super().__init__()
self._register()
@property
def message_action_type(self)... | true | true |
f70be9c29d438c8bd7ae0af6ada925b74f12119d | 781 | py | Python | src/c3nav/editor/tasks.py | johnjohndoe/c3nav | a17f863a3512e305595c16b0300796b6bae81241 | [
"Apache-2.0"
] | 132 | 2016-11-12T01:45:23.000Z | 2022-03-08T15:17:10.000Z | src/c3nav/editor/tasks.py | johnjohndoe/c3nav | a17f863a3512e305595c16b0300796b6bae81241 | [
"Apache-2.0"
] | 66 | 2016-09-29T09:46:19.000Z | 2022-03-11T23:26:18.000Z | src/c3nav/editor/tasks.py | johnjohndoe/c3nav | a17f863a3512e305595c16b0300796b6bae81241 | [
"Apache-2.0"
] | 42 | 2016-09-29T08:34:57.000Z | 2022-03-08T15:17:15.000Z | import logging
from django.conf import settings
from django.contrib.auth.models import User
from django.core.mail import send_mail
from c3nav.celery import app
logger = logging.getLogger('c3nav')
@app.task(bind=True, max_retries=3)
def send_changeset_proposed_notification(self, pk, author, title, description):
... | 31.24 | 79 | 0.644046 | import logging
from django.conf import settings
from django.contrib.auth.models import User
from django.core.mail import send_mail
from c3nav.celery import app
logger = logging.getLogger('c3nav')
@app.task(bind=True, max_retries=3)
def send_changeset_proposed_notification(self, pk, author, title, description):
... | true | true |
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