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1c3ebb2ffa9845ad6f59777ce682acd6917daa3e | 808 | py | Python | wazimap_ng/points/services/locations.py | Faysalali534/wazimap-ng | 64cff12c042167ce633658a3c45f7c142f3fd5ce | [
"Apache-2.0"
] | null | null | null | wazimap_ng/points/services/locations.py | Faysalali534/wazimap-ng | 64cff12c042167ce633658a3c45f7c142f3fd5ce | [
"Apache-2.0"
] | null | null | null | wazimap_ng/points/services/locations.py | Faysalali534/wazimap-ng | 64cff12c042167ce633658a3c45f7c142f3fd5ce | [
"Apache-2.0"
] | null | null | null | import logging
from wazimap_ng.points.models import Location, Category, ProfileCategory
from wazimap_ng.profile.models import Profile
from wazimap_ng.datasets.models import Geography
from wazimap_ng.boundaries.models import GeographyBoundary
logger = logging.getLogger(__name__)
def get_locations(queryset, profile, c... | 35.130435 | 80 | 0.782178 | import logging
from wazimap_ng.points.models import Location, Category, ProfileCategory
from wazimap_ng.profile.models import Profile
from wazimap_ng.datasets.models import Geography
from wazimap_ng.boundaries.models import GeographyBoundary
logger = logging.getLogger(__name__)
def get_locations(queryset, profile, c... | true | true |
1c3ebb6f9ba90fb1b3461a4f89c26e5e1da1a7b6 | 19,196 | py | Python | conda/activate.py | richmoore1962/conda | ef36713bfeca5b9a8505ff8ae6d7899c2d7c6306 | [
"BSD-3-Clause"
] | null | null | null | conda/activate.py | richmoore1962/conda | ef36713bfeca5b9a8505ff8ae6d7899c2d7c6306 | [
"BSD-3-Clause"
] | null | null | null | conda/activate.py | richmoore1962/conda | ef36713bfeca5b9a8505ff8ae6d7899c2d7c6306 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
from glob import glob
import os
from os.path import abspath, basename, dirname, expanduser, expandvars, isdir, join, normpath
import re
import sys
from tempfile import NamedTemporaryFile
from .base.context impor... | 38.163022 | 98 | 0.603824 | from __future__ import absolute_import, division, print_function, unicode_literals
from glob import glob
import os
from os.path import abspath, basename, dirname, expanduser, expandvars, isdir, join, normpath
import re
import sys
from tempfile import NamedTemporaryFile
from .base.context import ROOT_ENV_NAME, context... | true | true |
1c3ebd21eb0eee42e9366167ff296002780b5492 | 4,688 | py | Python | python/galB_models.py | bsafdi/galacticB | cf90459799b0917340f7b6faceab6134dc3c35b0 | [
"MIT"
] | null | null | null | python/galB_models.py | bsafdi/galacticB | cf90459799b0917340f7b6faceab6134dc3c35b0 | [
"MIT"
] | null | null | null | python/galB_models.py | bsafdi/galacticB | cf90459799b0917340f7b6faceab6134dc3c35b0 | [
"MIT"
] | null | null | null | import numpy as np
import numpy.linalg as LA
#B-field model from https://arxiv.org/pdf/1204.3662.pdf
iopen=11.5 #degrees
rmx_array = np.array([5.1,6.3,7.1,8.3,9.8,11.4,12.7,15.5]) #kpc
def return_B(x,y):
'''
x,y in Galactic coords in kpc
Earth at (x,y) = (-8.5,0)
'''
r = np.sqrt(x,y)
phi = ... | 23.323383 | 96 | 0.53221 | import numpy as np
import numpy.linalg as LA
iopen=11.5 rmx_array = np.array([5.1,6.3,7.1,8.3,9.8,11.4,12.7,15.5])
def return_B(x,y):
r = np.sqrt(x,y)
phi = np.arctanM(y,x)
r_hat = np.array([np.cos(phi),np.sin(phi)])
phi_hat = np.array([-np.sin(phi),np.cos(phi)])
if r<5.0:
B =... | true | true |
1c3ebe5799f9f096dadc724348ff63069ef11359 | 1,884 | py | Python | alipay/aop/api/response/AlipayFundTransPayResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipayFundTransPayResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipayFundTransPayResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayFundTransPayResponse(AlipayResponse):
def __init__(self):
super(AlipayFundTransPayResponse, self).__init__()
self._order_id = None
self._out_biz_no = No... | 28.545455 | 99 | 0.664544 | import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AlipayFundTransPayResponse(AlipayResponse):
def __init__(self):
super(AlipayFundTransPayResponse, self).__init__()
self._order_id = None
self._out_biz_no = None
self._pay_fund_order_id = None
... | true | true |
1c3ebf1f7628958d5b11ec3a7ac39fd0b4c0e80d | 13,347 | py | Python | pytorch_lightning/accelerators/tpu_accelerator.py | aribornstein/pytorch-lightning | ca68cac57ad8eefc9b477ee126eb42a483f27a39 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/tpu_accelerator.py | aribornstein/pytorch-lightning | ca68cac57ad8eefc9b477ee126eb42a483f27a39 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/tpu_accelerator.py | aribornstein/pytorch-lightning | ca68cac57ad8eefc9b477ee126eb42a483f27a39 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 36.467213 | 110 | 0.66352 | import io
import logging
import os
import re
from typing import Any, Callable, Optional, Union
import torch
import torch.multiprocessing as mp
from torch.optim import Optimizer
from pytorch_lightning.accelerators.accelerator import Accelerator, ReduceOp
from pytorch_lightning.cluster_environments import ClusterEnviro... | true | true |
1c3ebf5598e69feb2c336c6da8f14570efb46fc9 | 2,548 | py | Python | open_spiel/python/bots/is_mcts_test.py | texasmichelle/open_spiel | d9a9b8f9f1f44143867217fc3f6ff2db71b174b0 | [
"Apache-2.0"
] | 3,167 | 2019-08-27T06:50:30.000Z | 2022-03-31T22:33:48.000Z | open_spiel/python/bots/is_mcts_test.py | texasmichelle/open_spiel | d9a9b8f9f1f44143867217fc3f6ff2db71b174b0 | [
"Apache-2.0"
] | 650 | 2019-08-27T16:24:09.000Z | 2022-03-30T19:41:09.000Z | open_spiel/python/bots/is_mcts_test.py | texasmichelle/open_spiel | d9a9b8f9f1f44143867217fc3f6ff2db71b174b0 | [
"Apache-2.0"
] | 774 | 2019-08-27T10:36:04.000Z | 2022-03-29T15:44:42.000Z | # Copyright 2019 DeepMind Technologies Ltd. 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 appl... | 35.887324 | 80 | 0.720173 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import absltest
import numpy as np
from open_spiel.python.algorithms import evaluate_bots
import pyspiel
SEED = 12983641
class ISMCTSBotTest(absltest.TestCase):
def ismcts_play_game(se... | true | true |
1c3ebf8534de15eccfa8e05d6772024a0cb19ba3 | 1,621 | py | Python | src/izi/apps/catalogue/reviews/forms.py | izi-core/izi-core | 21176be2d41f0cf54ca954f294209c585f643dba | [
"BSD-3-Clause"
] | null | null | null | src/izi/apps/catalogue/reviews/forms.py | izi-core/izi-core | 21176be2d41f0cf54ca954f294209c585f643dba | [
"BSD-3-Clause"
] | null | null | null | src/izi/apps/catalogue/reviews/forms.py | izi-core/izi-core | 21176be2d41f0cf54ca954f294209c585f643dba | [
"BSD-3-Clause"
] | null | null | null | from django import forms
from django.utils.translation import gettext_lazy as _
from izi.core.loading import get_model
Vote = get_model('reviews', 'vote')
ProductReview = get_model('reviews', 'productreview')
class ProductReviewForm(forms.ModelForm):
name = forms.CharField(label=_('Name'), required=True)
em... | 26.57377 | 61 | 0.632326 | from django import forms
from django.utils.translation import gettext_lazy as _
from izi.core.loading import get_model
Vote = get_model('reviews', 'vote')
ProductReview = get_model('reviews', 'productreview')
class ProductReviewForm(forms.ModelForm):
name = forms.CharField(label=_('Name'), required=True)
em... | true | true |
1c3ec00dd8b2fd9f7864c69b14adc250d65def9a | 1,730 | py | Python | setup.py | chiangtw/CircMiMi | f9700ab3afb79e5b730b95666482ba64f3e6ef75 | [
"MIT"
] | 2 | 2021-09-13T13:12:46.000Z | 2022-01-03T05:04:32.000Z | setup.py | chiangtw/CircMiMi | f9700ab3afb79e5b730b95666482ba64f3e6ef75 | [
"MIT"
] | null | null | null | setup.py | chiangtw/CircMiMi | f9700ab3afb79e5b730b95666482ba64f3e6ef75 | [
"MIT"
] | 1 | 2020-05-16T13:24:13.000Z | 2020-05-16T13:24:13.000Z | import codecs
import os
import re
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
with codecs.open(os.path.join(here, *parts), 'r') as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_ma... | 30.350877 | 82 | 0.625434 | import codecs
import os
import re
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
with codecs.open(os.path.join(here, *parts), 'r') as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_ma... | true | true |
1c3ec0239a3b51d83462da9640c1889bef35013b | 3,540 | py | Python | decloud/models/monthly_synthesis_6_s2s1_images_david.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 8 | 2022-02-25T13:15:07.000Z | 2022-03-20T18:29:49.000Z | decloud/models/monthly_synthesis_6_s2s1_images_david.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 1 | 2022-02-25T13:21:33.000Z | 2022-02-25T13:21:33.000Z | decloud/models/monthly_synthesis_6_s2s1_images_david.py | CNES/decloud | 6b06ae98bfe68821b4ebd0e7ba06723809cb9b42 | [
"Apache-2.0"
] | 1 | 2022-03-31T23:43:12.000Z | 2022-03-31T23:43:12.000Z | # -*- coding: utf-8 -*-
"""
Copyright (c) 2020-2022 INRAE
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, ... | 51.304348 | 110 | 0.666384 | from tensorflow.keras import layers
from decloud.models.model import Model
from decloud.preprocessing import constants
class monthly_synthesis_6_s2s1_images_david(Model):
def __init__(self, dataset_shapes,
dataset_input_keys=["s2_t0", "s2_t1", "s2_t2", "s2_t3", "s2_t4", "s2_t5",
... | true | true |
1c3ec0608c6faed4e34cec115e9524d65fc136d9 | 667 | py | Python | utils/batch_helper.py | liushengzhong1023/multihead-siamese-nets | ccb544d5a8adefa41743ef7948aeb5f20a74507e | [
"MIT"
] | 175 | 2018-01-26T19:22:05.000Z | 2022-02-24T01:20:21.000Z | utils/batch_helper.py | liushengzhong1023/multihead-siamese-nets | ccb544d5a8adefa41743ef7948aeb5f20a74507e | [
"MIT"
] | 19 | 2018-02-26T09:45:59.000Z | 2022-02-09T23:57:22.000Z | utils/batch_helper.py | warisqr007/ConvSANN | 0cede14601ce1a62bd58abf92a04ad3d7cc3be99 | [
"MIT"
] | 41 | 2018-02-27T11:20:28.000Z | 2021-04-13T04:57:57.000Z |
class BatchHelper:
def __init__(self, x1, x2, labels, batch_size):
self.x1 = x1
# self.x1 = self.x1.reshape(-1, 1)
self.x2 = x2
# self.x2 = self.x2.reshape(-1, 1)
self.labels = labels
self.labels = self.labels.reshape(-1, 1)
self.batch_size = batch_size
... | 39.235294 | 95 | 0.623688 |
class BatchHelper:
def __init__(self, x1, x2, labels, batch_size):
self.x1 = x1
self.x2 = x2
self.labels = labels
self.labels = self.labels.reshape(-1, 1)
self.batch_size = batch_size
def next(self, batch_id):
x1_batch = self.x1[batch_id * self... | true | true |
1c3ec089f6634e8a94af71b4270bf1a322b29773 | 76,413 | py | Python | openpype/tools/project_manager/project_manager/model.py | jonclothcat/OpenPype | d1208cbebc0a7f378de0062ccd653295c6399195 | [
"MIT"
] | null | null | null | openpype/tools/project_manager/project_manager/model.py | jonclothcat/OpenPype | d1208cbebc0a7f378de0062ccd653295c6399195 | [
"MIT"
] | null | null | null | openpype/tools/project_manager/project_manager/model.py | jonclothcat/OpenPype | d1208cbebc0a7f378de0062ccd653295c6399195 | [
"MIT"
] | null | null | null | import collections
import copy
import json
from uuid import uuid4
from pymongo import UpdateOne, DeleteOne
from Qt import QtCore, QtGui
from .constants import (
IDENTIFIER_ROLE,
ITEM_TYPE_ROLE,
DUPLICATED_ROLE,
HIERARCHY_CHANGE_ABLE_ROLE,
REMOVED_ROLE,
EDITOR_OPENED_ROLE,
PROJECT_NAME_ROL... | 31.497527 | 79 | 0.561776 | import collections
import copy
import json
from uuid import uuid4
from pymongo import UpdateOne, DeleteOne
from Qt import QtCore, QtGui
from .constants import (
IDENTIFIER_ROLE,
ITEM_TYPE_ROLE,
DUPLICATED_ROLE,
HIERARCHY_CHANGE_ABLE_ROLE,
REMOVED_ROLE,
EDITOR_OPENED_ROLE,
PROJECT_NAME_ROL... | true | true |
1c3ec10c0be0c50347ae5364aa263e5e25c717b6 | 4,954 | py | Python | pdbtools/pdb_chain.py | andrewsb8/pdb-tools | 2fecdebd7520505b68ab515c54fa7c128e7a8090 | [
"Apache-2.0"
] | 192 | 2015-07-25T02:31:09.000Z | 2022-03-29T11:09:45.000Z | pdbtools/pdb_chain.py | andrewsb8/pdb-tools | 2fecdebd7520505b68ab515c54fa7c128e7a8090 | [
"Apache-2.0"
] | 112 | 2016-08-16T20:00:16.000Z | 2022-03-25T00:44:16.000Z | pdbtools/pdb_chain.py | andrewsb8/pdb-tools | 2fecdebd7520505b68ab515c54fa7c128e7a8090 | [
"Apache-2.0"
] | 55 | 2015-07-24T17:33:30.000Z | 2022-03-17T17:36:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2018 João Pedro Rodrigues
#
# 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
#
# Unl... | 27.988701 | 79 | 0.594267 |
import os
import sys
__author__ = "Joao Rodrigues"
__email__ = "j.p.g.l.m.rodrigues@gmail.com"
def check_input(args):
option = ' '
fh = sys.stdin
if not len(args):
if sys.stdin.isatty():
sys.stderr.write(__doc__)
sys.exit(1)
elif len(args) == 1:
... | true | true |
1c3ec22b6437fb74df647b14f9882233d4fc1589 | 18,074 | py | Python | napalm_yang/models/openconfig/network_instances/network_instance/mpls/te_interface_attributes/interface/interface_ref/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 64 | 2016-10-20T15:47:18.000Z | 2021-11-11T11:57:32.000Z | napalm_yang/models/openconfig/network_instances/network_instance/mpls/te_interface_attributes/interface/interface_ref/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 126 | 2016-10-05T10:36:14.000Z | 2019-05-15T08:43:23.000Z | napalm_yang/models/openconfig/network_instances/network_instance/mpls/te_interface_attributes/interface/interface_ref/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 63 | 2016-11-07T15:23:08.000Z | 2021-09-22T14:41:16.000Z | # -*- coding: utf-8 -*-
from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListTy... | 38.619658 | 377 | 0.602302 | from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListType
from pyangbind.lib.ya... | true | true |
1c3ec271455fb4a4203f0942fbcf2dc4f068a07e | 5,204 | py | Python | owlbot.py | LaudateCorpus1/python-gke-hub | 09e7c033fea2e07a6c865ac633ec14b3d07edf7a | [
"Apache-2.0"
] | null | null | null | owlbot.py | LaudateCorpus1/python-gke-hub | 09e7c033fea2e07a6c865ac633ec14b3d07edf7a | [
"Apache-2.0"
] | null | null | null | owlbot.py | LaudateCorpus1/python-gke-hub | 09e7c033fea2e07a6c865ac633ec14b3d07edf7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softw... | 34.013072 | 127 | 0.64854 |
import os
import synthtool as s
import synthtool.gcp as gcp
from synthtool.languages import python
common = gcp.CommonTemplates()
default_version = "v1"
for library in s.get_staging_dirs(default_version):
submodules = [
"configmanagement",
"multiclusteringress",
]
for submodule in submodu... | true | true |
1c3ec2f91b2d99d51d3ba428e99bf769634ff906 | 1,435 | py | Python | pipeline/migrations/0012_templatecurrentversion.py | sdgdsffdsfff/bk-sops-tencent | e8aff91f822e79031e12b0f66943830f44ced506 | [
"Apache-2.0"
] | 1 | 2020-09-24T07:39:16.000Z | 2020-09-24T07:39:16.000Z | pipeline/migrations/0012_templatecurrentversion.py | sdgdsffdsfff/bk-sops-tencent | e8aff91f822e79031e12b0f66943830f44ced506 | [
"Apache-2.0"
] | 5 | 2021-02-08T20:46:54.000Z | 2021-06-10T22:54:45.000Z | pipeline/migrations/0012_templatecurrentversion.py | sdgdsffdsfff/bk-sops-tencent | e8aff91f822e79031e12b0f66943830f44ced506 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2020 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 39.861111 | 125 | 0.712892 |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('pipeline', '0011_auto_20180906_1045'),
]
operations = [
migrations.CreateModel(
name='TemplateCurrentVersion',
fields=[
... | true | true |
1c3ec314a0794bcb54b14f7270db1ec2ee447f38 | 4,129 | py | Python | sdk/python/pulumi_aws/storagegateway/upload_buffer.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/storagegateway/upload_buffer.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/storagegateway/upload_buffer.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** 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 Union
from .. import utilities, tables
class UploadBuffer(pulu... | 42.56701 | 166 | 0.661177 |
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class UploadBuffer(pulumi.CustomResource):
disk_id: pulumi.Output[str]
gateway_arn: pulumi.Output[str]
def __init__(__self__, resource_name, opts=None, disk_id=None, gateway_arn=None, __props__=N... | true | true |
1c3ec347f88de693871c19dc660539788c4b5eca | 540 | py | Python | PythonSolutions/763_partition_labels.py | ChuckChen2020/Leetcode | 08f98365f0fac6e4a151b557b632000a34734585 | [
"MIT"
] | null | null | null | PythonSolutions/763_partition_labels.py | ChuckChen2020/Leetcode | 08f98365f0fac6e4a151b557b632000a34734585 | [
"MIT"
] | null | null | null | PythonSolutions/763_partition_labels.py | ChuckChen2020/Leetcode | 08f98365f0fac6e4a151b557b632000a34734585 | [
"MIT"
] | null | null | null | #16:39 - 17:03
def partitionLabels(S: str):
dic = dict()
for i, c in enumerate(S):
dic[c] = i
end_pos = 0
ret = []
i = 0
while i <= len(S) - 1:
start = i
end_pos = dic[S[i]]
while i != end_pos:
end_pos = max... | 23.478261 | 54 | 0.444444 | def partitionLabels(S: str):
dic = dict()
for i, c in enumerate(S):
dic[c] = i
end_pos = 0
ret = []
i = 0
while i <= len(S) - 1:
start = i
end_pos = dic[S[i]]
while i != end_pos:
end_pos = max(end_pos, dic[S... | true | true |
1c3ec3d0cac39cf9941d9ca1c590fc595be6ee34 | 493 | py | Python | sdk/python/pulumi_azure_native/dbforpostgresql/v20210410privatepreview/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/dbforpostgresql/v20210410privatepreview/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/dbforpostgresql/v20210410privatepreview/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"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! ***
from ... import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .configuration import *
from .firewall_... | 29 | 80 | 0.744422 |
from ... import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .configuration import *
from .firewall_rule import *
from .get_configuration import *
from .get_firewall_rule import *
from .get_server import *
from .server import *
from ._inputs import *
from . import out... | true | true |
1c3ec44eeefd7593b2bd53357219e6fbeeb19a01 | 887 | py | Python | azcam_scripts/__init__.py | mplesser/azcam-scripts | 116106f98352ccfc6c97b748e361fe9dadd16888 | [
"MIT"
] | null | null | null | azcam_scripts/__init__.py | mplesser/azcam-scripts | 116106f98352ccfc6c97b748e361fe9dadd16888 | [
"MIT"
] | null | null | null | azcam_scripts/__init__.py | mplesser/azcam-scripts | 116106f98352ccfc6c97b748e361fe9dadd16888 | [
"MIT"
] | null | null | null | import importlib
import os
import azcam
def load(scripts="all") -> None:
"""
Load all scripts from folder into azcam.db.cli_tools
"""
rootpackage = "azcam_scripts"
folder = importlib.util.find_spec(rootpackage).submodule_search_locations[0]
# bring all .py modules with same function name in... | 26.088235 | 80 | 0.620068 | import importlib
import os
import azcam
def load(scripts="all") -> None:
rootpackage = "azcam_scripts"
folder = importlib.util.find_spec(rootpackage).submodule_search_locations[0]
_, _, filenames = next(os.walk(folder))
pyfiles = []
for files in filenames:
if files.endswith(".py"):
... | true | true |
1c3ec5820cfff6b1650df4f4de61fd0b17c04a7e | 9,946 | py | Python | api/src/opentrons/protocol_api/legacy_wrapper/containers_wrapper.py | theosanderson/opentrons | df9f41d3dc56bd03ff0ef4e804d1224221272ddf | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocol_api/legacy_wrapper/containers_wrapper.py | theosanderson/opentrons | df9f41d3dc56bd03ff0ef4e804d1224221272ddf | [
"Apache-2.0"
] | null | null | null | api/src/opentrons/protocol_api/legacy_wrapper/containers_wrapper.py | theosanderson/opentrons | df9f41d3dc56bd03ff0ef4e804d1224221272ddf | [
"Apache-2.0"
] | null | null | null | import logging
from typing import Any, Dict
import jsonschema # type: ignore
from opentrons.data_storage import database as db_cmds
from opentrons.protocol_api.labware import save_definition
from opentrons.config import CONFIG
from opentrons.legacy_api.containers.placeable import Container, Well
from .util import l... | 41.789916 | 133 | 0.688619 | import logging
from typing import Any, Dict
import jsonschema
from opentrons.data_storage import database as db_cmds
from opentrons.protocol_api.labware import save_definition
from opentrons.config import CONFIG
from opentrons.legacy_api.containers.placeable import Container, Well
from .util import log_call
log = ... | true | true |
1c3ec6385ed9ff148175b1e4f2ec924d2e0a25ce | 55,048 | py | Python | kafka/consumer/group.py | fchartier/kafka-python | 8e1741edcf368e4eba6af6a7218f788d4aafcee8 | [
"Apache-2.0"
] | null | null | null | kafka/consumer/group.py | fchartier/kafka-python | 8e1741edcf368e4eba6af6a7218f788d4aafcee8 | [
"Apache-2.0"
] | null | null | null | kafka/consumer/group.py | fchartier/kafka-python | 8e1741edcf368e4eba6af6a7218f788d4aafcee8 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import, division
import copy
import logging
import socket
import time
from kafka.errors import KafkaConfigurationError, UnsupportedVersionError
from kafka.vendor import six
from kafka.client_async import KafkaClient, selectors
from kafka.consumer.fetcher import Fetcher
from kafka.con... | 47.537133 | 123 | 0.652067 | from __future__ import absolute_import, division
import copy
import logging
import socket
import time
from kafka.errors import KafkaConfigurationError, UnsupportedVersionError
from kafka.vendor import six
from kafka.client_async import KafkaClient, selectors
from kafka.consumer.fetcher import Fetcher
from kafka.con... | true | true |
1c3ec6d3f7be58abd038f8964534a0cb398cb936 | 2,732 | py | Python | blog/migrations/0011_auto_20200728_0547.py | tbrlpld/wagtail-gatsby-blog-backend | f68f1d9e2577d5271960f142bf37dcbcdac6767a | [
"MIT"
] | null | null | null | blog/migrations/0011_auto_20200728_0547.py | tbrlpld/wagtail-gatsby-blog-backend | f68f1d9e2577d5271960f142bf37dcbcdac6767a | [
"MIT"
] | null | null | null | blog/migrations/0011_auto_20200728_0547.py | tbrlpld/wagtail-gatsby-blog-backend | f68f1d9e2577d5271960f142bf37dcbcdac6767a | [
"MIT"
] | null | null | null | # Generated by Django 2.2.13 on 2020-07-28 05:47
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.blocks.static_block
import wagtail.core.fields
import wagtail.documents.blocks
import wagtail.embeds.blocks
import wagtail.images.blocks
class Migration(migrations.Migration):
depende... | 109.28 | 2,214 | 0.725842 |
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.blocks.static_block
import wagtail.core.fields
import wagtail.documents.blocks
import wagtail.embeds.blocks
import wagtail.images.blocks
class Migration(migrations.Migration):
dependencies = [
('blog', '0010_auto_20200728_05... | true | true |
1c3ec6ff7238f3a67bc7e7cbadd77b8f9696718c | 1,716 | py | Python | src/third_party/red_tamarin_stable/tamarin-cental/halfmoon/templates/sexp.py | michaelpdu/flash_feature_extraction | 29226a4c0e81240fd5c53fd9c80b0f6b0f5a8f95 | [
"Apache-2.0"
] | 1 | 2018-11-25T01:05:03.000Z | 2018-11-25T01:05:03.000Z | avmplus/halfmoon/templates/sexp.py | vidkidz/crossbridge | ba0bf94aee0ce6cf7eb5be882382e52bc57ba396 | [
"MIT"
] | null | null | null | avmplus/halfmoon/templates/sexp.py | vidkidz/crossbridge | ba0bf94aee0ce6cf7eb5be882382e52bc57ba396 | [
"MIT"
] | 1 | 2019-04-12T04:18:27.000Z | 2019-04-12T04:18:27.000Z | #!/usr/bin/env python
# -*- Mode: Python; indent-tabs-mode: nil -*-
# vi: set ts=4 sw=4 expandtab:
# borrowed from http://gist.github.com/240957
# no license information found
# Support for comments ; added by Adobe.
from string import whitespace
atom_end = set('()"\'') | set(whitespace)
def parse(sexp):
stack,... | 33.647059 | 78 | 0.434732 |
from string import whitespace
atom_end = set('()"\'') | set(whitespace)
def parse(sexp):
stack, i, length = [[]], 0, len(sexp)
while i < length:
c = sexp[i]
#print c, stack
if c == ';':
while i + 1 < length and sexp[i + 1] != '\n':
i += 1
else:
... | true | true |
1c3ec72e9ec972f9c7d148b66f212bf3e366a340 | 2,457 | py | Python | ctgan/data.py | JonathanDZiegler/CTGAN | 7b1c110455bf776cf89a661e5ff8425d6519daf5 | [
"MIT"
] | null | null | null | ctgan/data.py | JonathanDZiegler/CTGAN | 7b1c110455bf776cf89a661e5ff8425d6519daf5 | [
"MIT"
] | null | null | null | ctgan/data.py | JonathanDZiegler/CTGAN | 7b1c110455bf776cf89a661e5ff8425d6519daf5 | [
"MIT"
] | 1 | 2021-11-18T14:23:24.000Z | 2021-11-18T14:23:24.000Z | """Data loading."""
import json
import numpy as np
import pandas as pd
def read_csv(csv_filename, meta_filename=None, header=True, discrete=None):
"""Read a csv file."""
data = pd.read_csv(csv_filename, header='infer' if header else None)
if meta_filename:
with open(meta_filename) as meta_file:... | 25.863158 | 78 | 0.553521 |
import json
import numpy as np
import pandas as pd
def read_csv(csv_filename, meta_filename=None, header=True, discrete=None):
data = pd.read_csv(csv_filename, header='infer' if header else None)
if meta_filename:
with open(meta_filename) as meta_file:
metadata = json.load(meta_file)
... | true | true |
1c3ec7572013460e6d2b8a5b43c1333c84548a2f | 5,023 | py | Python | tests/test_dependency_loop.py | TinkerBoard-Android/external-google-fruit | 57123c8a2477a4d99cb68c53d195e9fb428dd535 | [
"Apache-2.0"
] | 1,666 | 2015-01-04T08:52:43.000Z | 2022-03-28T11:06:19.000Z | tests/test_dependency_loop.py | TinkerBoard-Android/external-google-fruit | 57123c8a2477a4d99cb68c53d195e9fb428dd535 | [
"Apache-2.0"
] | 135 | 2015-02-19T11:35:07.000Z | 2022-03-29T05:00:42.000Z | tests/test_dependency_loop.py | TinkerBoard-Android/external-google-fruit | 57123c8a2477a4d99cb68c53d195e9fb428dd535 | [
"Apache-2.0"
] | 253 | 2015-01-14T08:15:10.000Z | 2022-03-24T07:49:53.000Z | #!/usr/bin/env python3
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 33.939189 | 125 | 0.565399 |
from absl.testing import parameterized
from fruit_test_common import *
COMMON_DEFINITIONS = '''
#include "test_common.h"
struct X;
struct Annotation1 {};
using XAnnot1 = fruit::Annotated<Annotation1, X>;
struct Annotation2 {};
using XAnnot2 = fruit::Annotated<Annotation2, X>;
struct An... | true | true |
1c3ec7b6b14e02b69b8c1732d3ec1b97b07bc9d9 | 3,069 | py | Python | docs/conf.py | mollymwieringa/sit_assimilation_osses | 56eb13227cf3cf481991bd162889c49880020635 | [
"MIT"
] | null | null | null | docs/conf.py | mollymwieringa/sit_assimilation_osses | 56eb13227cf3cf481991bd162889c49880020635 | [
"MIT"
] | null | null | null | docs/conf.py | mollymwieringa/sit_assimilation_osses | 56eb13227cf3cf481991bd162889c49880020635 | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 35.275862 | 79 | 0.681981 |
import os
import pathlib
import sys
print("python exec:", sys.executable)
print("sys.path:", sys.path)
root = pathlib.Path(__file__).parent.parent.absolute()
os.environ["PYTHONPATH"] = str(root)
sys.path.insert(0, str(root))
import sit_assimilation_osses
project = "sit_assimilation_osses"
copyright = "2021, Mo... | true | true |
1c3ec87ee1e156d9bd81c49a7f5849c9a0477607 | 466 | py | Python | data/scripts/templates/object/tangible/wearables/ithorian/shared_ith_jacket_s10.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/tangible/wearables/ithorian/shared_ith_jacket_s10.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/tangible/wearables/ithorian/shared_ith_jacket_s10.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Tangible()
result.template = "object/tangible/wearables/ithorian/shared_ith_jacket_s10.iff"
result.attribute_temp... | 27.411765 | 81 | 0.738197 |
from swgpy.object import *
def create(kernel):
result = Tangible()
result.template = "object/tangible/wearables/ithorian/shared_ith_jacket_s10.iff"
result.attribute_template_id = 11
result.stfName("wearables_name","ith_jacket_s10")
return result | true | true |
1c3ec8d51199ed160a9b1ec4dfce1a483ae737af | 816 | py | Python | profiles_project/urls.py | kienyiep/profile-rest-api | 705c3bf9c6c45f7b860cd358520a81694c2a26cb | [
"MIT"
] | null | null | null | profiles_project/urls.py | kienyiep/profile-rest-api | 705c3bf9c6c45f7b860cd358520a81694c2a26cb | [
"MIT"
] | null | null | null | profiles_project/urls.py | kienyiep/profile-rest-api | 705c3bf9c6c45f7b860cd358520a81694c2a26cb | [
"MIT"
] | null | null | null | """profiles_project URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Cl... | 32.64 | 77 | 0.707108 |
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('api/', include('profiles_api.urls'))
]
| true | true |
1c3ec94e2ccb841eb99eae10987aea3e9f60f21d | 11,253 | py | Python | mars/tensor/linalg/norm.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | mars/tensor/linalg/norm.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | mars/tensor/linalg/norm.py | ueshin/mars | 0b542974243be4e0ff239eaf49ab0fb2935f3361 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2020 Alibaba Group Holding 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-... | 35.610759 | 105 | 0.555052 |
import itertools
from collections.abc import Iterable
import numpy as np
from ... import opcodes as OperandDef
from ...serialize import ValueType, KeyField, AnyField, TupleField, BoolField
from ..utils import recursive_tile
from ..array_utils import device, as_same_device
from ..operands import TensorHasInput, Tenso... | true | true |
1c3ecac895f332fe1a4efb3869906afedc532dea | 953 | py | Python | examples/active_learning/plot_perf.py | sudodoki/trunklucator | 7d5a96d650a50e62b3ad479f72de8d60790e93a8 | [
"Apache-2.0"
] | null | null | null | examples/active_learning/plot_perf.py | sudodoki/trunklucator | 7d5a96d650a50e62b3ad479f72de8d60790e93a8 | [
"Apache-2.0"
] | null | null | null | examples/active_learning/plot_perf.py | sudodoki/trunklucator | 7d5a96d650a50e62b3ad479f72de8d60790e93a8 | [
"Apache-2.0"
] | null | null | null | import matplotlib as mpl
import matplotlib.pyplot as plt
from io import BytesIO
import base64
mpl.use('Agg')
def plot_performance(performance_history):
fig, ax = plt.subplots(figsize=(8.5, 6), dpi=130)
ax.plot(performance_history)
ax.scatter(range(len(performance_history)), performance_history, s=13)
... | 30.741935 | 122 | 0.716684 | import matplotlib as mpl
import matplotlib.pyplot as plt
from io import BytesIO
import base64
mpl.use('Agg')
def plot_performance(performance_history):
fig, ax = plt.subplots(figsize=(8.5, 6), dpi=130)
ax.plot(performance_history)
ax.scatter(range(len(performance_history)), performance_history, s=13)
... | true | true |
1c3ecaf3fc8f8dbaf8239f589fe967fdd4055863 | 1,757 | py | Python | kirppuauth/migrations/0002_auto_20160127_2212.py | tracon/kirppu | 65c926daa6138b14268693eeac6e6e517a3cd96b | [
"MIT"
] | null | null | null | kirppuauth/migrations/0002_auto_20160127_2212.py | tracon/kirppu | 65c926daa6138b14268693eeac6e6e517a3cd96b | [
"MIT"
] | 6 | 2017-02-03T07:42:57.000Z | 2019-12-23T14:25:15.000Z | kirppuauth/migrations/0002_auto_20160127_2212.py | tracon/kirppu | 65c926daa6138b14268693eeac6e6e517a3cd96b | [
"MIT"
] | 6 | 2015-01-26T22:27:26.000Z | 2019-01-20T21:57:51.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.core.validators
import django.contrib.auth.models
class Migration(migrations.Migration):
dependencies = [
('kirppuauth', '0001_initial'),
]
operations = [
migrations.Al... | 40.860465 | 420 | 0.623221 | from __future__ import unicode_literals
from django.db import migrations, models
import django.core.validators
import django.contrib.auth.models
class Migration(migrations.Migration):
dependencies = [
('kirppuauth', '0001_initial'),
]
operations = [
migrations.AlterModelManagers(
... | true | true |
1c3ecb6add03b7112c2dee8c497792a4df9841d8 | 512 | py | Python | gaphor/UML/interactions/__init__.py | bertob/gaphor | a1d6f8dd8c878f299980bba6c055436148573274 | [
"Apache-2.0"
] | 867 | 2018-01-09T00:19:09.000Z | 2022-03-31T02:49:23.000Z | gaphor/UML/interactions/__init__.py | burakozturk16/gaphor | 86267a5200ac4439626d35d306dbb376c3800107 | [
"Apache-2.0"
] | 790 | 2018-01-13T23:47:07.000Z | 2022-03-31T16:04:27.000Z | gaphor/UML/interactions/__init__.py | burakozturk16/gaphor | 86267a5200ac4439626d35d306dbb376c3800107 | [
"Apache-2.0"
] | 117 | 2018-01-09T02:24:49.000Z | 2022-03-23T08:07:42.000Z | from gaphor.UML.interactions import (
copypaste,
interactionsconnect,
interactionsgrouping,
interactionspropertypages,
)
from gaphor.UML.interactions.executionspecification import ExecutionSpecificationItem
from gaphor.UML.interactions.interaction import InteractionItem
from gaphor.UML.interactions.life... | 28.444444 | 85 | 0.802734 | from gaphor.UML.interactions import (
copypaste,
interactionsconnect,
interactionsgrouping,
interactionspropertypages,
)
from gaphor.UML.interactions.executionspecification import ExecutionSpecificationItem
from gaphor.UML.interactions.interaction import InteractionItem
from gaphor.UML.interactions.life... | true | true |
1c3ecced193917d21de696859842864904d72d87 | 3,649 | py | Python | benchmarks/kvbench/novelsm/novelsm.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | 2 | 2019-04-16T01:33:36.000Z | 2021-02-23T08:34:38.000Z | benchmarks/kvbench/novelsm/novelsm.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | null | null | null | benchmarks/kvbench/novelsm/novelsm.py | huangvincent170/cyclone | 737af617ab1472dfb16e6c20a079e88dccf85850 | [
"Apache-2.0"
] | 4 | 2020-03-27T18:06:33.000Z | 2021-03-24T09:56:17.000Z | def launch_cmds_startup():
print("Configuring for rocksdb application")
def launch_cmds_server_gen(f, q, r, m, quorums, replicas, clients, ports):
passwd=''
if os.environ.has_key('CYCLONE_PASS'):
passwd=os.environ.get('CYCLONE_PASS')
cmd= ' echo ' + passwd + ' | sudo -S '
cmd=cmd + 'rm -rf... | 45.049383 | 128 | 0.580433 | def launch_cmds_startup():
print("Configuring for rocksdb application")
def launch_cmds_server_gen(f, q, r, m, quorums, replicas, clients, ports):
passwd=''
if os.environ.has_key('CYCLONE_PASS'):
passwd=os.environ.get('CYCLONE_PASS')
cmd= ' echo ' + passwd + ' | sudo -S '
cmd=cmd + 'rm -rf... | true | true |
1c3eccfe5a2a05938061228955cc2ec0f6627de9 | 73,105 | py | Python | packages/python/plotly/plotly/graph_objs/cone/_colorbar.py | eisenlohr/plotly.py | 3b0e3df45036cf48f772b13bcc10ce347964aefc | [
"MIT"
] | 1 | 2021-12-11T07:01:40.000Z | 2021-12-11T07:01:40.000Z | packages/python/plotly/plotly/graph_objs/cone/_colorbar.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/graph_objs/cone/_colorbar.py | jiangrongbo/plotly.py | df19fc702b309586cc24e25373b87e8bdbb3ff60 | [
"MIT"
] | 1 | 2021-11-29T22:55:05.000Z | 2021-11-29T22:55:05.000Z | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "cone"
_path_str = "cone.colorbar"
_valid_props = {
"bgcolor",
"bordercolor... | 35.643588 | 90 | 0.557582 | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
_parent_path_str = "cone"
_path_str = "cone.colorbar"
_valid_props = {
"bgcolor",
"bordercolor",
"borderwidth",
"dtick",... | true | true |
1c3ecd48137353b90db4a7570b4ac12b3113cd43 | 218 | py | Python | catalyst/contrib/criterion/__init__.py | ferrine/catalyst | b5bc4fb5f692e1fde2d95ef4a534296dccd0f717 | [
"MIT"
] | null | null | null | catalyst/contrib/criterion/__init__.py | ferrine/catalyst | b5bc4fb5f692e1fde2d95ef4a534296dccd0f717 | [
"MIT"
] | null | null | null | catalyst/contrib/criterion/__init__.py | ferrine/catalyst | b5bc4fb5f692e1fde2d95ef4a534296dccd0f717 | [
"MIT"
] | null | null | null | # flake8: noqa
from torch.nn import *
from .bcece import *
from .ce import *
from .center_loss import *
from .contrastive import *
from .dice import *
from .focal_loss import *
from .huber import *
from .unet import *
| 19.818182 | 26 | 0.729358 | from torch.nn import *
from .bcece import *
from .ce import *
from .center_loss import *
from .contrastive import *
from .dice import *
from .focal_loss import *
from .huber import *
from .unet import *
| true | true |
1c3ecd98fcb15ba4a6f5bccae63e6e80e435759b | 9,412 | py | Python | vulnerabilities/importers/rust.py | anshsrtv/vulnerablecode | b79117f3ea50470547aa2a173265aa4e89403b50 | [
"Apache-2.0"
] | null | null | null | vulnerabilities/importers/rust.py | anshsrtv/vulnerablecode | b79117f3ea50470547aa2a173265aa4e89403b50 | [
"Apache-2.0"
] | null | null | null | vulnerabilities/importers/rust.py | anshsrtv/vulnerablecode | b79117f3ea50470547aa2a173265aa4e89403b50 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/vulnerablecode/
# The VulnerableCode software is licensed under the Apache License version 2.0.
# Data generated with VulnerableCode require an acknowledgment.
#
# You may not use this software except in compli... | 36.061303 | 100 | 0.657777 |
import asyncio
import re
from itertools import chain
from typing import Optional
from typing import Mapping
from typing import List
from typing import Set
from typing import Tuple
from urllib.error import HTTPError
from urllib.request import urlopen
import toml
from univers.version_specifier import VersionSpecifier
f... | true | true |
1c3ecdaaf358b3e1ac6e7c89f30b3b9afcab7ca7 | 1,820 | py | Python | regulations/tests/generator_subterp_tests.py | navigo/regulations-site | 910c24e46f4e921210a40da452dff69feae692d4 | [
"CC0-1.0"
] | 18 | 2015-01-14T15:58:45.000Z | 2019-08-17T06:15:59.000Z | regulations/tests/generator_subterp_tests.py | navigo/regulations-site | 910c24e46f4e921210a40da452dff69feae692d4 | [
"CC0-1.0"
] | 260 | 2016-04-05T22:06:10.000Z | 2021-01-07T22:08:15.000Z | regulations/tests/generator_subterp_tests.py | navigo/regulations-site | 910c24e46f4e921210a40da452dff69feae692d4 | [
"CC0-1.0"
] | 45 | 2015-01-26T16:24:46.000Z | 2021-02-20T10:50:59.000Z | from unittest import TestCase
from mock import patch
from regulations.generator import subterp
class SubterpTest(TestCase):
@patch('regulations.generator.subterp.fetch_toc')
def test_filter_by_subterp(self, fetch_toc):
nodes = [{'label': ['1005', 'h1', 'Interp']},
{'label': ['1005',... | 44.390244 | 78 | 0.482967 | from unittest import TestCase
from mock import patch
from regulations.generator import subterp
class SubterpTest(TestCase):
@patch('regulations.generator.subterp.fetch_toc')
def test_filter_by_subterp(self, fetch_toc):
nodes = [{'label': ['1005', 'h1', 'Interp']},
{'label': ['1005',... | true | true |
1c3ece1119d3406c43d3f2ded5d89016c2782b23 | 7,500 | py | Python | moses/contrib/arrow-pipelines/python/manager.py | anshsarkar/TailBench | 25845756aee9a892229c25b681051591c94daafd | [
"MIT"
] | 3 | 2018-01-25T00:51:56.000Z | 2022-01-07T15:09:38.000Z | moses/contrib/arrow-pipelines/python/manager.py | anshsarkar/TailBench | 25845756aee9a892229c25b681051591c94daafd | [
"MIT"
] | 1 | 2021-11-25T18:08:22.000Z | 2021-11-25T18:08:22.000Z | moses/contrib/arrow-pipelines/python/manager.py | anshsarkar/TailBench | 25845756aee9a892229c25b681051591c94daafd | [
"MIT"
] | 3 | 2018-06-08T08:36:27.000Z | 2021-12-26T20:36:16.000Z | import logging
import os
from concurrent.futures import Future, ThreadPoolExecutor
from functools import partial
from pypeline.helpers.parallel_helpers import eval_pipeline, \
cons_function_component, \
cons_wire, \
cons_split_wire, \
cons_unsplit_wire, \
cons_dictionary_wire
#
# Some logging ple... | 38.860104 | 124 | 0.637333 | import logging
import os
from concurrent.futures import Future, ThreadPoolExecutor
from functools import partial
from pypeline.helpers.parallel_helpers import eval_pipeline, \
cons_function_component, \
cons_wire, \
cons_split_wire, \
cons_unsplit_wire, \
cons_dictionary_wire
FORMAT = '%(asctime)... | true | true |
1c3ece2c42a04a5c61f6788d458259f9c5c0c5cc | 5,260 | py | Python | tests/python/unittest/test_codegen_device.py | zhanghaohit/incubator-tvm | ee0af843f3c5a3429e888079afb5f30789bd9bee | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | 2 | 2019-01-07T06:00:27.000Z | 2019-02-28T15:07:16.000Z | tests/python/unittest/test_codegen_device.py | zhanghaohit/incubator-tvm | ee0af843f3c5a3429e888079afb5f30789bd9bee | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | 4 | 2021-03-30T11:59:59.000Z | 2022-03-12T00:40:23.000Z | tests/python/unittest/test_codegen_device.py | zhanghaohit/incubator-tvm | ee0af843f3c5a3429e888079afb5f30789bd9bee | [
"Zlib",
"Unlicense",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0"
] | 3 | 2021-07-20T07:40:15.000Z | 2021-08-03T08:39:17.000Z | # 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 u... | 36.783217 | 82 | 0.619962 | import tvm
from tvm.contrib import util
import numpy as np
def test_large_uint_imm():
value = (1 << 63) + 123
other = tvm.const(3, "uint64")
n = 12
num_thread = 2
A = tvm.compute((n,), lambda *i: tvm.const(value, "uint64") + other, name='A')
s = tvm.create_schedule(A.op)
xo, xi = s[A].spl... | true | true |
1c3ecf27e6ed0d2f16c459636707fbe1dbed8674 | 4,553 | py | Python | notebooks/kf-1.0-workshop.py | zaxcie/flower_workshop | c879b9e1687e786a1510a640e1b1680375dff172 | [
"FTL"
] | null | null | null | notebooks/kf-1.0-workshop.py | zaxcie/flower_workshop | c879b9e1687e786a1510a640e1b1680375dff172 | [
"FTL"
] | null | null | null | notebooks/kf-1.0-workshop.py | zaxcie/flower_workshop | c879b9e1687e786a1510a640e1b1680375dff172 | [
"FTL"
] | null | null | null | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.3'
# jupytext_version: 0.8.1
# kernelspec:
# display_name: Python (dl)
# language: python
# name: dl
# langua... | 23.963158 | 120 | 0.682627 |
# +
# %load_ext autoreload
# %autoreload 2\
import os
import random
from skimage.io import imread, imshow
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
# %matplotlib inline
# -
def show_images_horizontal(path, n=5):
files = random.sample(os.listdir(path), 5)
images = list()
... | true | true |
1c3ed05ee52038ba5c0bd1bdc2585a78b8cf946e | 492 | py | Python | src/coop_assembly/__version__.py | createchaos/coop_assembly | 71108b0639323cf3d996d63b0f702d45f4d60d67 | [
"MIT"
] | 3 | 2019-09-21T09:20:15.000Z | 2020-02-12T21:53:07.000Z | src/coop_assembly/__version__.py | createchaos/coop_assembly | 71108b0639323cf3d996d63b0f702d45f4d60d67 | [
"MIT"
] | null | null | null | src/coop_assembly/__version__.py | createchaos/coop_assembly | 71108b0639323cf3d996d63b0f702d45f4d60d67 | [
"MIT"
] | 1 | 2019-12-18T12:51:08.000Z | 2019-12-18T12:51:08.000Z | __title__ = 'coop_assembly'
__description__ = 'Geometry generation of robotically assembled spatial structures'
__url__ = 'https://github.com/createchaos/coop_assembly'
__version__ = '0.0.1'
__author__ = 'Stefana Parascho'
__author_email__ = 'parascho@princeton.edu'
__license__ = 'MIT license'
__copyright__ = 'Copyrigh... | 41 | 83 | 0.762195 | __title__ = 'coop_assembly'
__description__ = 'Geometry generation of robotically assembled spatial structures'
__url__ = 'https://github.com/createchaos/coop_assembly'
__version__ = '0.0.1'
__author__ = 'Stefana Parascho'
__author_email__ = 'parascho@princeton.edu'
__license__ = 'MIT license'
__copyright__ = 'Copyrigh... | true | true |
1c3ed1847f6aa6d5eb851011932ff553610206dd | 12,107 | py | Python | tracer/android_tracer.py | XTechnologyTR/appmon | 974418b80e2a3d49278b3acb2c86651894260dda | [
"Apache-2.0"
] | 1,392 | 2016-04-29T13:31:53.000Z | 2022-03-31T07:40:50.000Z | tracer/android_tracer.py | XTechnologyTR/appmon | 974418b80e2a3d49278b3acb2c86651894260dda | [
"Apache-2.0"
] | 105 | 2016-04-29T12:13:18.000Z | 2022-03-24T17:27:58.000Z | tracer/android_tracer.py | XTechnologyTR/appmon | 974418b80e2a3d49278b3acb2c86651894260dda | [
"Apache-2.0"
] | 298 | 2016-04-29T12:03:15.000Z | 2022-03-25T13:45:01.000Z | #!/usr/bin/python
###
# Copyright (c) 2016 Nishant Das Patnaik.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 37.252308 | 416 | 0.563971 |
import os, sys, frida, re, argparse, codecs, json
from termcolor import colored
print("""
___ .______ .______ .___ ___. ______ .__ __.
/ \ | _ \ | _ \ | \/ | / __ \ | \ | |
/ ^ \ | |_) | | |_) | | \ / | | | | | | \| |
/ /_\ \ ... | true | true |
1c3ed2bf9c387aab43e5622dc881396402695b4f | 8,064 | py | Python | pollbot/telegram/job.py | annihilatorrrr/ultimate-poll-bot | 7ecd1c0ac09a01bd4224c654bf951196dfb0207c | [
"MIT"
] | 112 | 2019-06-11T17:52:57.000Z | 2022-03-18T00:05:21.000Z | pollbot/telegram/job.py | annihilatorrrr/ultimate-poll-bot | 7ecd1c0ac09a01bd4224c654bf951196dfb0207c | [
"MIT"
] | 91 | 2019-05-28T11:33:40.000Z | 2022-02-27T12:12:07.000Z | pollbot/telegram/job.py | annihilatorrrr/ultimate-poll-bot | 7ecd1c0ac09a01bd4224c654bf951196dfb0207c | [
"MIT"
] | 69 | 2019-07-10T16:58:06.000Z | 2022-03-30T22:09:44.000Z | """Handle messages."""
from datetime import date, datetime, timedelta
from sqlalchemy import or_
from sqlalchemy.orm import joinedload
from sqlalchemy.orm.exc import ObjectDeletedError, StaleDataError
from sqlalchemy.orm.scoping import scoped_session
from telegram.error import BadRequest, RetryAfter, Unauthorized
from... | 36.324324 | 96 | 0.625868 | from datetime import date, datetime, timedelta
from sqlalchemy import or_
from sqlalchemy.orm import joinedload
from sqlalchemy.orm.exc import ObjectDeletedError, StaleDataError
from sqlalchemy.orm.scoping import scoped_session
from telegram.error import BadRequest, RetryAfter, Unauthorized
from telegram.ext.callbackc... | true | true |
1c3ed32e53fa0dfa1d1ba7876f61cbf18edade25 | 5,090 | py | Python | utils.py | smitkiri/nypd-misconduct-dashboard | 2b16d24f33bab7f3b09e8a068a2bb7233d978928 | [
"MIT"
] | 2 | 2020-09-12T00:13:03.000Z | 2020-12-05T07:01:04.000Z | utils.py | smitkiri/nypd-misconduct-dashboard | 2b16d24f33bab7f3b09e8a068a2bb7233d978928 | [
"MIT"
] | null | null | null | utils.py | smitkiri/nypd-misconduct-dashboard | 2b16d24f33bab7f3b09e8a068a2bb7233d978928 | [
"MIT"
] | 1 | 2020-08-24T16:05:25.000Z | 2020-08-24T16:05:25.000Z | import pandas as pd
import pickle
import plotly.graph_objs as go
def get_command(x, command_key):
try:
command = command_key[x]
except:
command = float('nan')
return command
def get_command_key():
#Get command abbreviations
command_df = pd.read_excel('NYPD-Misconduct-Complaint-Dat... | 38.560606 | 133 | 0.644401 | import pandas as pd
import pickle
import plotly.graph_objs as go
def get_command(x, command_key):
try:
command = command_key[x]
except:
command = float('nan')
return command
def get_command_key():
command_df = pd.read_excel('NYPD-Misconduct-Complaint-Database-Updated/CCRB Filespec... | true | true |
1c3ed46d063c4579b35ae4dbdad3ad13ad8a9ac0 | 3,072 | py | Python | indico/core/signals/event/registration.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | indico/core/signals/event/registration.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | indico/core/signals/event/registration.py | tobiashuste/indico | c1e6ec0c8c84745988e38c9b1768142a6feb9e0e | [
"MIT"
] | null | null | null | # This file is part of Indico.
# Copyright (C) 2002 - 2020 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from __future__ import unicode_literals
from blinker import Namespace
_signals = Namespace()
registrat... | 39.384615 | 103 | 0.77181 |
from __future__ import unicode_literals
from blinker import Namespace
_signals = Namespace()
registration_personal_data_modified = _signals.signal('registration-personal-data-modified', """
Called when the registration personal data is modified. The `sender` is the
`Registration` object; the change is passed in th... | true | true |
1c3ed4b0cc5ab9bf06582c115f4991fc26fb456c | 260 | py | Python | examples/optimizers/create_hs.py | macoldibelli/opytimizer | ca0574d520ecc17b1ac875bc6271d466c88d18ac | [
"MIT"
] | null | null | null | examples/optimizers/create_hs.py | macoldibelli/opytimizer | ca0574d520ecc17b1ac875bc6271d466c88d18ac | [
"MIT"
] | null | null | null | examples/optimizers/create_hs.py | macoldibelli/opytimizer | ca0574d520ecc17b1ac875bc6271d466c88d18ac | [
"MIT"
] | null | null | null | from opytimizer.optimizers.hs import HS
# One should declare a hyperparameters object based
# on the desired algorithm that will be used
hyperparams = {
'HMCR': 0.7,
'PAR': 0.7,
'bw': 1
}
# Creating a HS optimizer
o = HS(hyperparams=hyperparams)
| 20 | 51 | 0.7 | from opytimizer.optimizers.hs import HS
hyperparams = {
'HMCR': 0.7,
'PAR': 0.7,
'bw': 1
}
o = HS(hyperparams=hyperparams)
| true | true |
1c3ed5c4ddde80567b53059419d01c45b6cac254 | 634 | py | Python | Amelie/pack_feature_vector_cdll.py | HuMingqi/Amelie_S | 1044441d0a302b4833fe6aab0f177fdf89443623 | [
"MIT"
] | null | null | null | Amelie/pack_feature_vector_cdll.py | HuMingqi/Amelie_S | 1044441d0a302b4833fe6aab0f177fdf89443623 | [
"MIT"
] | null | null | null | Amelie/pack_feature_vector_cdll.py | HuMingqi/Amelie_S | 1044441d0a302b4833fe6aab0f177fdf89443623 | [
"MIT"
] | null | null | null | import ctypes
#locate .dll file. using absolute path in django. relative path just in python intertive mode
#!!! feature_vector depend on opencv_world310d.dll , you can include it in system32
dll_path="G:/ResearchTraining/Amelie_Server/DLLS/feature_vector.dll"
#dll_path="D:/Clothes Search System/AmelieServer/DL... | 33.368421 | 94 | 0.782334 | import ctypes
dll_path="G:/ResearchTraining/Amelie_Server/DLLS/feature_vector.dll"
dll=ctypes.CDLL(dll_path)
get_feature_vector=dll.get_feature_vector
get_feature_vector.argtypes=(ctypes.c_double*24,ctypes.c_char_p)
| true | true |
1c3ed60041bd004a3090a6f1457dc9479b8f6e65 | 2,196 | py | Python | tests/unit/test_integration.py | shogo82148/acme-cert-updater | 4693ef2e96654c2eba199dd84635d1b87264ec48 | [
"MIT"
] | 9 | 2019-03-10T11:02:11.000Z | 2021-07-02T12:39:59.000Z | tests/unit/test_integration.py | shogo82148/acme-cert-updater | 4693ef2e96654c2eba199dd84635d1b87264ec48 | [
"MIT"
] | 58 | 2019-08-12T05:37:34.000Z | 2022-03-25T10:35:55.000Z | tests/unit/test_integration.py | shogo82148/acme-cert-updater | 4693ef2e96654c2eba199dd84635d1b87264ec48 | [
"MIT"
] | 1 | 2021-09-16T00:29:26.000Z | 2021-09-16T00:29:26.000Z | """tests of acme-cert-updater"""
import unittest
import secrets
import traceback
import boto3
from typing import List
from updater import app
# pylint: disable=missing-docstring
AUTHOR_ACCOUNT = '445285296882'
class DummyConfig:
def __init__(self):
self._prefix = secrets.token_hex(16)
@property
... | 24.4 | 105 | 0.624317 |
import unittest
import secrets
import traceback
import boto3
from typing import List
from updater import app
AUTHOR_ACCOUNT = '445285296882'
class DummyConfig:
def __init__(self):
self._prefix = secrets.token_hex(16)
@property
def domains(self) -> List[str]:
return ['shogo82148.com', '... | true | true |
1c3ed6c03b8fe64c7476a5230fcf005cc7c91298 | 31,311 | py | Python | language/mentionmemory/modules/mention_losses_test.py | urikz/language | 503aca178c98fed4c606cf83e58ae0f84012a4d9 | [
"Apache-2.0"
] | 1,199 | 2018-10-16T01:30:18.000Z | 2022-03-31T21:05:24.000Z | language/mentionmemory/modules/mention_losses_test.py | urikz/language | 503aca178c98fed4c606cf83e58ae0f84012a4d9 | [
"Apache-2.0"
] | 116 | 2018-10-18T03:31:46.000Z | 2022-03-24T13:40:50.000Z | language/mentionmemory/modules/mention_losses_test.py | urikz/language | 503aca178c98fed4c606cf83e58ae0f84012a4d9 | [
"Apache-2.0"
] | 303 | 2018-10-22T12:35:12.000Z | 2022-03-27T17:38:17.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team 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 ... | 43.976124 | 83 | 0.67414 |
import functools
from absl.testing import absltest
from absl.testing import parameterized
import jax
import jax.numpy as jnp
import language.mentionmemory.modules.mention_losses as mention_losses
from language.mentionmemory.utils import mention_utils
from language.mentionmemory.utils import test_utils
import numpy as... | true | true |
1c3ed72bc6c644886efad8191a3375ad2c5fc776 | 17,558 | py | Python | src/pip/_internal/resolution/legacy/resolver.py | lhchavez/pip | bd5ac261c0bf4c9a37322b2cfe1b2564479f56ad | [
"MIT"
] | 2 | 2021-11-11T10:44:41.000Z | 2022-03-29T17:18:30.000Z | src/pip/_internal/resolution/legacy/resolver.py | illia-v/pip | 76cd70ac42cbbe6a51d83bd100f500ac4c21f26b | [
"MIT"
] | 3 | 2021-12-16T17:05:16.000Z | 2022-03-14T21:51:36.000Z | src/pip/_internal/resolution/legacy/resolver.py | illia-v/pip | 76cd70ac42cbbe6a51d83bd100f500ac4c21f26b | [
"MIT"
] | null | null | null | """Dependency Resolution
The dependency resolution in pip is performed as follows:
for top-level requirements:
a. only one spec allowed per project, regardless of conflicts or not.
otherwise a "double requirement" exception is raised
b. they override sub-dependency requirements.
for sub-dependencies
... | 38.674009 | 87 | 0.651498 |
import logging
import sys
from collections import defaultdict
from itertools import chain
from typing import DefaultDict, Iterable, List, Optional, Set, Tuple
from pip._vendor.packaging import specifiers
from pip._vendor.pkg_resources import Distribution
from pip._internal.cache import WheelCache
from pip._internal... | true | true |
1c3edbaee88f4ef3b685314892ef219d9fb001ea | 4,083 | py | Python | dolo/tests/test_splines.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | dolo/tests/test_splines.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | dolo/tests/test_splines.py | christophe-gouel/dolo | d9aef6d78d19899e2669e49ee6b7ad9aacf0e35d | [
"BSD-2-Clause"
] | null | null | null | #
# if __name__ == '__main__':
#
# from dolo.numeric.interpolation.splines import MultivariateSplines
# from dolo.numeric.interpolation.multilinear import MultilinearInterpolator
#
#
# import numpy as np
#
# N_grid = 20
# N_fine_grid = 50
# d = 3
#
# smin = np.array( [0.0]*d )
# smax = n... | 30.470149 | 113 | 0.532697 | true | true | |
1c3edc1a9535df18cdc85a59a9b87070c0014d91 | 3,535 | py | Python | scripts/mixexpDemo.py | karalleyna/pyprobml | 72195e46fdffc4418910e76d02e3d6469f4ce272 | [
"MIT"
] | 2 | 2021-06-22T05:43:25.000Z | 2021-06-22T08:40:16.000Z | scripts/mixexpDemo.py | Rebeca98/pyprobml | 2a4b9a267f64720cbba35dfa41af3e995ea006ca | [
"MIT"
] | null | null | null | scripts/mixexpDemo.py | Rebeca98/pyprobml | 2a4b9a267f64720cbba35dfa41af3e995ea006ca | [
"MIT"
] | 1 | 2021-06-21T01:18:07.000Z | 2021-06-21T01:18:07.000Z | import pyprobml_utils as pml
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.special import logsumexp
from sklearn.linear_model import LinearRegression
from scipy.stats import multivariate_normal
n = 200
np.random.seed(1)
y = np.random.rand(n, 1)
eta = np.random.randn(n,1)*0.05
x = y ... | 25.80292 | 88 | 0.596322 | import pyprobml_utils as pml
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.special import logsumexp
from sklearn.linear_model import LinearRegression
from scipy.stats import multivariate_normal
n = 200
np.random.seed(1)
y = np.random.rand(n, 1)
eta = np.random.randn(n,1)*0.05
x = y ... | true | true |
1c3edd0047b74206ceda57dd243e48dfb9db1917 | 2,637 | py | Python | fairseq/optim/lr_scheduler/fixed_schedule.py | kayoyin/DialogueMT | aa426ebcdbdfe0366ed06081a842945f2108e85f | [
"MIT"
] | 112 | 2021-01-04T13:19:24.000Z | 2022-03-23T21:49:00.000Z | fairseq/optim/lr_scheduler/fixed_schedule.py | kayoyin/DialogueMT | aa426ebcdbdfe0366ed06081a842945f2108e85f | [
"MIT"
] | 21 | 2021-03-18T09:39:00.000Z | 2022-03-22T09:41:48.000Z | fairseq/optim/lr_scheduler/fixed_schedule.py | kayoyin/DialogueMT | aa426ebcdbdfe0366ed06081a842945f2108e85f | [
"MIT"
] | 19 | 2021-01-28T08:07:03.000Z | 2022-03-31T08:31:36.000Z | # 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.
from . import FairseqLRScheduler, register_lr_scheduler
@register_lr_scheduler('fixed')
class FixedSchedule(FairseqLRScheduler):
"""Deca... | 38.217391 | 93 | 0.618127 |
from . import FairseqLRScheduler, register_lr_scheduler
@register_lr_scheduler('fixed')
class FixedSchedule(FairseqLRScheduler):
def __init__(self, args, optimizer):
super().__init__(args, optimizer)
args.warmup_updates = getattr(args, 'warmup_updates', 0) or 0
self.lr = args.l... | true | true |
1c3edd7dc690e18f8c678b526484905b94fc01d9 | 1,144 | py | Python | py/leetcode/RedundantConnection.py | danyfang/SourceCode | 8168f6058648f2a330a7354daf3a73a4d8a4e730 | [
"MIT"
] | null | null | null | py/leetcode/RedundantConnection.py | danyfang/SourceCode | 8168f6058648f2a330a7354daf3a73a4d8a4e730 | [
"MIT"
] | null | null | null | py/leetcode/RedundantConnection.py | danyfang/SourceCode | 8168f6058648f2a330a7354daf3a73a4d8a4e730 | [
"MIT"
] | null | null | null | '''
Leetcode problem No 684 Redundant Connection
Solution written by Xuqiang Fang on 12 June, 2018
'''
class Solution(object):
'''
union find
'''
def findRedundantConnection(self, edge):
n = len(edge)
p = [0 for x in range(n+1)]
s = [1 for x in range(n+1)]
for e in edge... | 24.869565 | 49 | 0.434441 |
class Solution(object):
def findRedundantConnection(self, edge):
n = len(edge)
p = [0 for x in range(n+1)]
s = [1 for x in range(n+1)]
for e in edge:
u = e[0]; v = e[1]
if p[u] == 0:
p[u] = u
if p[v] == 0:
p[v] = v
... | true | true |
1c3edeaa50330434fd48e38aa8cbe9af373be385 | 35 | py | Python | OOP/OOP-Practice/underscore/main.py | siddhantdixit/OOP-ClassWork | ce414a3836d03aa7dee0eb1d7a69e849fb6707c0 | [
"MIT"
] | null | null | null | OOP/OOP-Practice/underscore/main.py | siddhantdixit/OOP-ClassWork | ce414a3836d03aa7dee0eb1d7a69e849fb6707c0 | [
"MIT"
] | null | null | null | OOP/OOP-Practice/underscore/main.py | siddhantdixit/OOP-ClassWork | ce414a3836d03aa7dee0eb1d7a69e849fb6707c0 | [
"MIT"
] | null | null | null | from prob import *
Pref()._myfunc() | 17.5 | 18 | 0.714286 | from prob import *
Pref()._myfunc() | true | true |
1c3edfd0a7ee08c38a2c867ee1df04078c23142d | 448 | py | Python | data/scripts/templates/object/mobile/shared_nightspider_aggressor.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/mobile/shared_nightspider_aggressor.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/mobile/shared_nightspider_aggressor.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Creature()
result.template = "object/mobile/shared_nightspider_aggressor.iff"
result.attribute_template_id = 9
r... | 26.352941 | 67 | 0.732143 |
from swgpy.object import *
def create(kernel):
result = Creature()
result.template = "object/mobile/shared_nightspider_aggressor.iff"
result.attribute_template_id = 9
result.stfName("monster_name","hermit_spider")
return result | true | true |
1c3ee1adcd0fc78c7b46e0181a9583404d382497 | 570 | py | Python | analytics/migrations/0006_auto_20201019_1554.py | 12remember/qrl-analytics | 17d728225026354a9b2af3bd81cf11cef06279df | [
"MIT"
] | null | null | null | analytics/migrations/0006_auto_20201019_1554.py | 12remember/qrl-analytics | 17d728225026354a9b2af3bd81cf11cef06279df | [
"MIT"
] | 1 | 2022-03-03T21:55:24.000Z | 2022-03-03T21:55:24.000Z | analytics/migrations/0006_auto_20201019_1554.py | 12remember/quantascan-backend | 17d728225026354a9b2af3bd81cf11cef06279df | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-10-19 15:54
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('analytics', '0005_auto_20201019_1549'),
]
operations = [
migrations.RenameField(
model_name='qrlaggregatedtransactiondata',
... | 24.782609 | 59 | 0.622807 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('analytics', '0005_auto_20201019_1549'),
]
operations = [
migrations.RenameField(
model_name='qrlaggregatedtransactiondata',
old_name='type_of_transaction',
new_... | true | true |
1c3ee1dfba8b2f8904b4d92a37b045666bf735f3 | 1,175 | py | Python | src/servo.py | macbury/pussificator | 1a8a3e0d029ec6f22161dfc41349f82b5df55a9f | [
"MIT"
] | 3 | 2019-01-09T09:54:25.000Z | 2019-06-30T07:10:01.000Z | src/servo.py | macbury/pussificator | 1a8a3e0d029ec6f22161dfc41349f82b5df55a9f | [
"MIT"
] | null | null | null | src/servo.py | macbury/pussificator | 1a8a3e0d029ec6f22161dfc41349f82b5df55a9f | [
"MIT"
] | null | null | null | import time
import json
from boot import CONFIG, LOGGER
from mqtt import MqttClient
import RPi.GPIO as GPIO
mqtt = MqttClient(CONFIG['mqtt'])
SERVO_PIN = 12
GPIO.setmode(GPIO.BOARD)
GPIO.setup(SERVO_PIN, GPIO.OUT)
pwm = GPIO.PWM(SERVO_PIN, 50)
pwm.start(0)
def turnOff():
GPIO.output(SERVO_PIN, False)
pwm.Chang... | 19.262295 | 64 | 0.700426 | import time
import json
from boot import CONFIG, LOGGER
from mqtt import MqttClient
import RPi.GPIO as GPIO
mqtt = MqttClient(CONFIG['mqtt'])
SERVO_PIN = 12
GPIO.setmode(GPIO.BOARD)
GPIO.setup(SERVO_PIN, GPIO.OUT)
pwm = GPIO.PWM(SERVO_PIN, 50)
pwm.start(0)
def turnOff():
GPIO.output(SERVO_PIN, False)
pwm.Chang... | true | true |
1c3ee281afe8d6eb06955116a1e1fc292afe6064 | 5,186 | py | Python | backend/main.py | waltercassiano/micropython-spa-react | 110fcd88c170251adad2b7e2e14dbdad94657370 | [
"MIT"
] | 6 | 2020-05-29T01:39:21.000Z | 2022-03-08T02:29:29.000Z | backend/main.py | waltercassiano/micropython-spa-react | 110fcd88c170251adad2b7e2e14dbdad94657370 | [
"MIT"
] | 2 | 2022-02-13T11:59:34.000Z | 2022-02-27T03:49:49.000Z | backend/main.py | waltercassiano/micropython-spa-react | 110fcd88c170251adad2b7e2e14dbdad94657370 | [
"MIT"
] | null | null | null | import network
import ure as re
import ubinascii
import uhashlib
from mimes import mime_content_type
import utils
if __name__ == "__main__":
picoweb = utils.import_or_install("picoweb", "picoweb")
logging = utils.import_or_install("micropython-ulogging", "ulogging")
from app_esp import config_service, user_ser... | 32.822785 | 122 | 0.66371 | import network
import ure as re
import ubinascii
import uhashlib
from mimes import mime_content_type
import utils
if __name__ == "__main__":
picoweb = utils.import_or_install("picoweb", "picoweb")
logging = utils.import_or_install("micropython-ulogging", "ulogging")
from app_esp import config_service, user_ser... | true | true |
1c3ee31a3897e2679ba3ab6df576be1484820e70 | 121 | py | Python | products/admin.py | anilchoudhary/ecommerce | f16a6e56ac1eb1050027c1f7c9a1d3e795dd3ffe | [
"MIT"
] | null | null | null | products/admin.py | anilchoudhary/ecommerce | f16a6e56ac1eb1050027c1f7c9a1d3e795dd3ffe | [
"MIT"
] | null | null | null | products/admin.py | anilchoudhary/ecommerce | f16a6e56ac1eb1050027c1f7c9a1d3e795dd3ffe | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Product
# Register your models here.
admin.site.register(Product)
| 17.285714 | 32 | 0.801653 | from django.contrib import admin
from .models import Product
admin.site.register(Product)
| true | true |
1c3ee34bf04c7cd14bd2cad070e9fb1c573743f3 | 4,115 | py | Python | drive.py | eagleanurag/End-to-End-Learning-for-Self-Driving-Cars | 0a32d90a6714515b6f0f0366b298b9c6d06119ab | [
"MIT"
] | null | null | null | drive.py | eagleanurag/End-to-End-Learning-for-Self-Driving-Cars | 0a32d90a6714515b6f0f0366b298b9c6d06119ab | [
"MIT"
] | null | null | null | drive.py | eagleanurag/End-to-End-Learning-for-Self-Driving-Cars | 0a32d90a6714515b6f0f0366b298b9c6d06119ab | [
"MIT"
] | 1 | 2018-11-05T05:11:02.000Z | 2018-11-05T05:11:02.000Z | import argparse
import base64
from io import BytesIO
import cv2
import eventlet.wsgi
import numpy as np
import socketio
from PIL import Image
from flask import Flask
from keras.models import model_from_json
# Fix error with Keras and TensorFlow
# tf.python.control_flow_ops = tf
sio = socketio.Server()
app = Flask(_... | 31.899225 | 143 | 0.652734 | import argparse
import base64
from io import BytesIO
import cv2
import eventlet.wsgi
import numpy as np
import socketio
from PIL import Image
from flask import Flask
from keras.models import model_from_json
sio = socketio.Server()
app = Flask(__name__)
model = None
prev_image_array = None
@sio.on('telemetry')
def ... | true | true |
1c3ee39784619349a5434c775720649d03c9987e | 76,938 | py | Python | graph_objs/layout/polar/_angularaxis.py | wwwidonja/changed_plotly | 1bda35a438539a97c84a3ab3952e95e8848467bd | [
"MIT"
] | null | null | null | graph_objs/layout/polar/_angularaxis.py | wwwidonja/changed_plotly | 1bda35a438539a97c84a3ab3952e95e8848467bd | [
"MIT"
] | null | null | null | graph_objs/layout/polar/_angularaxis.py | wwwidonja/changed_plotly | 1bda35a438539a97c84a3ab3952e95e8848467bd | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class AngularAxis(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.polar"
_path_str = "layout.polar.angularaxis"
_valid_props = {
"autot... | 36.918426 | 105 | 0.571044 | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class AngularAxis(_BaseLayoutHierarchyType):
_parent_path_str = "layout.polar"
_path_str = "layout.polar.angularaxis"
_valid_props = {
"autotypenumbers",
"categoryarray",
... | true | true |
1c3ee3ab8eb676d6083f1638cf4a2fa7730a9183 | 2,353 | py | Python | inception/inception/imagenet_distributed_train.py | robrkerr/tensorflow-models | 3656a07e89be134c2bc333c60a6c709e475024a6 | [
"Apache-2.0"
] | 308 | 2018-09-06T18:46:57.000Z | 2022-03-28T08:22:45.000Z | inception/inception/imagenet_distributed_train.py | robrkerr/tensorflow-models | 3656a07e89be134c2bc333c60a6c709e475024a6 | [
"Apache-2.0"
] | 64 | 2018-06-20T10:14:17.000Z | 2021-09-08T05:58:25.000Z | inception/inception/imagenet_distributed_train.py | robrkerr/tensorflow-models | 3656a07e89be134c2bc333c60a6c709e475024a6 | [
"Apache-2.0"
] | 69 | 2018-09-18T12:06:56.000Z | 2022-03-14T11:49:16.000Z | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 35.651515 | 80 | 0.700382 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from inception import inception_distributed_train
from inception.imagenet_data import ImagenetData
FLAGS = tf.app.flags.FLAGS
def main(unused_args):
assert FLAGS.job_name in ['ps',... | true | true |
1c3ee3f422b44ece53bc045044eb6ac24646c86c | 1,354 | py | Python | app.py | tamercuba/Hole-Checker | 4aac2c12023bd967a9a967d09145ce96c0f7fc27 | [
"MIT"
] | null | null | null | app.py | tamercuba/Hole-Checker | 4aac2c12023bd967a9a967d09145ce96c0f7fc27 | [
"MIT"
] | null | null | null | app.py | tamercuba/Hole-Checker | 4aac2c12023bd967a9a967d09145ce96c0f7fc27 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from unicodedata import normalize
import re
template = {
'A': 1, 'B': 2, 'C': 0, 'D': 1, 'E': 0, 'F': 0, 'G': 0, 'H': 0, 'I':0,
'J': 0, 'K': 0, 'L': 0, 'M': 0, 'N': 0, 'O': 1, 'P': 1, 'Q': 1, 'R': 1,
'S': 0, 'T': 0, 'U': 0, 'V': 0, 'X': 0, 'Z': 0, 'Y': 0, 'W': 0,
'a': 1, 'b': 1,... | 32.238095 | 76 | 0.488922 |
from unicodedata import normalize
import re
template = {
'A': 1, 'B': 2, 'C': 0, 'D': 1, 'E': 0, 'F': 0, 'G': 0, 'H': 0, 'I':0,
'J': 0, 'K': 0, 'L': 0, 'M': 0, 'N': 0, 'O': 1, 'P': 1, 'Q': 1, 'R': 1,
'S': 0, 'T': 0, 'U': 0, 'V': 0, 'X': 0, 'Z': 0, 'Y': 0, 'W': 0,
'a': 1, 'b': 1, 'c': 0, 'd': 1, 'e': ... | true | true |
1c3ee498ef484f6bcd6ee5707607fd898847237d | 10,678 | py | Python | jorldy/core/agent/rnd_ppo.py | ramanuzan/JORLDY | be371ad0607e5dba5d5082101c38c6a9f2c96767 | [
"Apache-2.0"
] | null | null | null | jorldy/core/agent/rnd_ppo.py | ramanuzan/JORLDY | be371ad0607e5dba5d5082101c38c6a9f2c96767 | [
"Apache-2.0"
] | null | null | null | jorldy/core/agent/rnd_ppo.py | ramanuzan/JORLDY | be371ad0607e5dba5d5082101c38c6a9f2c96767 | [
"Apache-2.0"
] | null | null | null | import torch
torch.backends.cudnn.benchmark = True
import torch.nn.functional as F
from torch.distributions import Normal, Categorical
import os
import numpy as np
from .ppo import PPO
from core.network import Network
class RND_PPO(PPO):
"""Random Network Distillation (RND) with PPO agent.
Args:
st... | 35.712375 | 105 | 0.52847 | import torch
torch.backends.cudnn.benchmark = True
import torch.nn.functional as F
from torch.distributions import Normal, Categorical
import os
import numpy as np
from .ppo import PPO
from core.network import Network
class RND_PPO(PPO):
def __init__(
self,
state_size,
action_size,
... | true | true |
1c3ee539cc4950ecc94f13b442b74342ad083484 | 4,764 | py | Python | mfr/extensions/tabular/render.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 36 | 2015-08-31T20:24:22.000Z | 2021-12-17T17:02:44.000Z | mfr/extensions/tabular/render.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 190 | 2015-01-02T06:22:01.000Z | 2022-01-19T11:27:03.000Z | mfr/extensions/tabular/render.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 47 | 2015-01-27T15:45:22.000Z | 2021-01-27T22:43:03.000Z | import json
import gc
import logging
import os
from humanfriendly import format_size
from mako.lookup import TemplateLookup
from mfr.core import extension
from mfr.extensions.tabular import settings, exceptions
logger = logging.getLogger(__name__)
class TabularRenderer(extension.BaseRenderer):
TEMPLATE = Temp... | 34.521739 | 99 | 0.594039 | import json
import gc
import logging
import os
from humanfriendly import format_size
from mako.lookup import TemplateLookup
from mfr.core import extension
from mfr.extensions.tabular import settings, exceptions
logger = logging.getLogger(__name__)
class TabularRenderer(extension.BaseRenderer):
TEMPLATE = Temp... | true | true |
1c3ee72bbc28c79942db067dc586c55460ee4caf | 2,589 | py | Python | tools/mo/unit_tests/mo/front/onnx/activation_ext_test.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 1,127 | 2018-10-15T14:36:58.000Z | 2020-04-20T09:29:44.000Z | tools/mo/unit_tests/mo/front/onnx/activation_ext_test.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 439 | 2018-10-20T04:40:35.000Z | 2020-04-19T05:56:25.000Z | tools/mo/unit_tests/mo/front/onnx/activation_ext_test.py | ryanloney/openvino-1 | 4e0a740eb3ee31062ba0df88fcf438564f67edb7 | [
"Apache-2.0"
] | 414 | 2018-10-17T05:53:46.000Z | 2020-04-16T17:29:53.000Z | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
import numpy as np
import onnx
from generator import generator, generate
import openvino.tools.mo.front.onnx.activation_ext as extractors
from openvino.tools.mo.ops.activation_ops import Elu
from openvino.tools.mo.graph... | 29.420455 | 143 | 0.591348 |
import unittest
import numpy as np
import onnx
from generator import generator, generate
import openvino.tools.mo.front.onnx.activation_ext as extractors
from openvino.tools.mo.ops.activation_ops import Elu
from openvino.tools.mo.graph.graph import Node
from openvino.tools.mo.ops.op import Op
from unit_tests.utils.e... | true | true |
1c3ee7b266d51215d446e12b11014bfad3376df9 | 1,438 | py | Python | docs/conf.py | qlixed/pymemwiper | 216bc05f9b67e37d0c98e3f3a70f08e3362f07d9 | [
"MIT"
] | 2 | 2017-12-08T22:52:20.000Z | 2018-10-28T20:40:42.000Z | docs/conf.py | qlixed/pymemwiper | 216bc05f9b67e37d0c98e3f3a70f08e3362f07d9 | [
"MIT"
] | 20 | 2017-06-04T22:13:06.000Z | 2020-01-05T22:32:24.000Z | docs/conf.py | qlixed/python-memwiper | 216bc05f9b67e37d0c98e3f3a70f08e3362f07d9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.autosummary',
'sphinx.ext.coverage',
'sphinx.ext.doctest',
'sphinx.ext.extlinks',
'sphinx.ext.ifconfig',
'sphinx.ext.napoleon',
'sphinx.ext.todo',
'sphinx.ext... | 26.145455 | 74 | 0.698192 | from __future__ import unicode_literals
import os
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.autosummary',
'sphinx.ext.coverage',
'sphinx.ext.doctest',
'sphinx.ext.extlinks',
'sphinx.ext.ifconfig',
'sphinx.ext.napoleon',
'sphinx.ext.todo',
'sphinx.ext.viewcode',
]
if os.gete... | true | true |
1c3ee841d66b0cc7cfd54b1431b94a4ac454cbf5 | 1,596 | py | Python | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/DeleteTagSetRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | 1 | 2019-12-23T12:36:43.000Z | 2019-12-23T12:36:43.000Z | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/DeleteTagSetRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-imm/aliyunsdkimm/request/v20170906/DeleteTagSetRequest.py | sdk-team/aliyun-openapi-python-sdk | 384730d707e6720d1676ccb8f552e6a7b330ec86 | [
"Apache-2.0"
] | 1 | 2021-02-23T11:27:54.000Z | 2021-02-23T11:27:54.000Z | # 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 u... | 33.25 | 71 | 0.754386 |
from aliyunsdkcore.request import RpcRequest
class DeleteTagSetRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'imm', '2017-09-06', 'DeleteTagSet','imm')
def get_LazyMode(self):
return self.get_query_params().get('LazyMode')
def set_LazyMode(self,LazyMode):
self.add_query_param('La... | true | true |
1c3eea5aece6d683e89d4098eb1688877e50e47b | 1,110 | py | Python | tscore-test.py | newsgac/fasttext-runs | 50cc6bf4d8441f7208efb6b71eb45e7641d1af09 | [
"Apache-2.0"
] | null | null | null | tscore-test.py | newsgac/fasttext-runs | 50cc6bf4d8441f7208efb6b71eb45e7641d1af09 | [
"Apache-2.0"
] | null | null | null | tscore-test.py | newsgac/fasttext-runs | 50cc6bf4d8441f7208efb6b71eb45e7641d1af09 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3 -W all
"""
tscore-test.py: tests for tscore.py
usage: tscore-test.py
20171124 erikt(at)xs4all.nl
"""
import io
import re
import sys
import unittest
from contextlib import redirect_stdout
from tscore import computeTscore
from tscore import readData
from tscore import tscore
from tscore im... | 25.813953 | 71 | 0.67027 |
import io
import re
import sys
import unittest
from contextlib import redirect_stdout
from tscore import computeTscore
from tscore import readData
from tscore import tscore
from tscore import writeData
DATA1 = { "totalFreq":3, "nbrOfWords":2, "wordFreqs":{"a":1, "b":2 } }
DATA2 = { "totalFreq":3, "nbrOfWords":2, "wor... | true | true |
1c3eea8396057943c4ed0c68011b18c7115b86f1 | 8,057 | py | Python | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | Main_.py | snehasharma0707/License-Plate-Recognition | 433251795c5fdef06ab07497d5d13537a89c1a41 | [
"CNRI-Python"
] | null | null | null | import cv2
import numpy as np
import os
from skimage import io
import requests
import random
import numpy as np # linear algebra
import pandas as pd # data processing
from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt
import urllib3
import json
import cv2
import matplotlib.pyplot as plt
import ... | 42.856383 | 185 | 0.616358 | import cv2
import numpy as np
import os
from skimage import io
import requests
import random
import numpy as np import pandas as pd from tqdm import tqdm
from PIL import Image
import matplotlib.pyplot as plt
import urllib3
import json
import cv2
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from ... | true | true |
1c3eec849a00dba654771c573292ef1c74284641 | 796 | py | Python | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 3 | 2021-05-06T18:29:09.000Z | 2022-01-13T03:23:25.000Z | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 1 | 2022-02-02T07:49:59.000Z | 2022-02-16T08:16:20.000Z | celeba/networks/ConvNetworkImgClfCelebA.py | thomassutter/MoPoE | 477a441ecb6c735a0b8af4d643fe3ac04c58171f | [
"MIT"
] | 2 | 2021-05-13T02:20:42.000Z | 2022-03-30T04:05:43.000Z | import torch
import torch.nn as nn
from celeba.networks.FeatureExtractorImg import FeatureExtractorImg
class ClfImg(nn.Module):
def __init__(self, flags):
super(ClfImg, self).__init__();
self.feature_extractor = FeatureExtractorImg(flags, a=2.0, b=0.3);
self.dropout = nn.Dropout(p=0.5, in... | 30.615385 | 108 | 0.639447 | import torch
import torch.nn as nn
from celeba.networks.FeatureExtractorImg import FeatureExtractorImg
class ClfImg(nn.Module):
def __init__(self, flags):
super(ClfImg, self).__init__();
self.feature_extractor = FeatureExtractorImg(flags, a=2.0, b=0.3);
self.dropout = nn.Dropout(p=0.5, in... | true | true |
1c3eef416f2f4b2e50f755eea0af040fb2ac3e74 | 305 | py | Python | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2015/12/death-states-20151124/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
import base_filters
COPY_GOOGLE_DOC_KEY = '1s9AJPa3Tyim5sl5xA1U0Rn3imyJ8Ycy0pjM9zNYje2A'
USE_ASSETS = False
# Use these variables to override the default cache timeouts for this graphic
# DEFAULT_MAX_AGE = 20
# ASSETS_MAX_AGE = 300
JINJA_FILTER_FUNCTIONS = base_filters.FILTERS
| 21.785714 | 77 | 0.819672 |
import base_filters
COPY_GOOGLE_DOC_KEY = '1s9AJPa3Tyim5sl5xA1U0Rn3imyJ8Ycy0pjM9zNYje2A'
USE_ASSETS = False
JINJA_FILTER_FUNCTIONS = base_filters.FILTERS
| true | true |
1c3eef61636dfc6d89773110c3f2c0042d21da47 | 5,720 | py | Python | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 5 | 2016-01-07T15:15:48.000Z | 2018-04-04T11:32:06.000Z | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 21 | 2015-05-20T11:30:43.000Z | 2020-08-01T14:09:19.000Z | prompty/vcs.py | tnhung2011/prompty | e2a08b235675d469153b233b86e535551b54fba6 | [
"MIT"
] | 1 | 2021-12-18T13:25:25.000Z | 2021-12-18T13:25:25.000Z | #!/usr/bin/env python
# vim:set softtabstop=4 shiftwidth=4 tabstop=4 expandtab:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
ABC = abc.ABCMeta(str('ABC'), (object,), {'__slots__': ()}) # noqa, compatible... | 29.637306 | 101 | 0.589685 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import abc
ABC = abc.ABCMeta(str('ABC'), (object,), {'__slots__': ()})
from builtins import str
import subprocess
from prompty import functionBase
class VCS(object):... | true | true |
1c3eef73558629c63b8748c6c61ec75dac6338d5 | 338 | py | Python | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | votepredictapp/urls.py | davidhammaker/votepredictbackend | 766467f85faf8a1d11da8c798b30904af9268504 | [
"MIT"
] | null | null | null | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"questions", views.QuestionViewSet)
urlpatterns = [
path("", include(router.urls)),
path("reply/", views.ReplyView.as_view()),
path("totals/", views.TotalsV... | 24.142857 | 52 | 0.730769 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"questions", views.QuestionViewSet)
urlpatterns = [
path("", include(router.urls)),
path("reply/", views.ReplyView.as_view()),
path("totals/", views.TotalsV... | true | true |
1c3eef7ba4a7c4fdc2c91473e4bd1ee6d01d74ee | 672 | py | Python | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | WEEKS/CD_Sata-Structures/_MISC/misc-examples/python3-book-examples/fileinput/fileinput_change_subnet_noisy.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | # Copyright (c) 2010 Doug Hellmann. All rights reserved.
#
"""Simplistic sed implementation
"""
# end_pymotw_header
import fileinput
import glob
import sys
from_base = sys.argv[1]
to_base = sys.argv[2]
files = sys.argv[3:]
for line in fileinput.input(files, inplace=True):
if fileinput.isfirstline():
sys... | 28 | 88 | 0.709821 |
import fileinput
import glob
import sys
from_base = sys.argv[1]
to_base = sys.argv[2]
files = sys.argv[3:]
for line in fileinput.input(files, inplace=True):
if fileinput.isfirstline():
sys.stderr.write("Started processing {}\n".format(fileinput.filename()))
sys.stderr.write("Directory contains: {... | true | true |
1c3eefbea593be09972f9ea725f0661fe763ffae | 723 | py | Python | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 2 | 2019-07-24T16:00:51.000Z | 2019-10-03T18:36:20.000Z | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 19 | 2019-06-20T21:58:44.000Z | 2020-11-05T13:48:42.000Z | generators/simple/templates/src/platform/extensionRunner/util.py | jfallaire/generator-ps-boilerplate-project | 36f544a54442c191430451715425da98ea76a63e | [
"MIT"
] | 1 | 2019-06-22T17:30:42.000Z | 2019-06-22T17:30:42.000Z | import os
import json
import tempfile
import zlib
import base64
import urllib.request
def zlib_compress_str(content):
outdata = zlib.compress(content, zlib.Z_BEST_COMPRESSION)
encodedData = base64.encodebytes(outdata)
#print('zlib compressed >>> {}'.format(encodedData))
return encodedData
... | 27.807692 | 149 | 0.672199 | import os
import json
import tempfile
import zlib
import base64
import urllib.request
def zlib_compress_str(content):
outdata = zlib.compress(content, zlib.Z_BEST_COMPRESSION)
encodedData = base64.encodebytes(outdata)
return encodedData
def get_html_content(url):
hdr = {'User-Agent'... | true | true |
1c3ef042bcfda68952527fd044dab09d320c8203 | 13,289 | py | Python | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 765 | 2015-01-14T16:17:04.000Z | 2022-03-28T07:46:28.000Z | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 30 | 2015-01-01T21:49:38.000Z | 2021-04-20T19:01:54.000Z | configs/example/memtest.py | hyu-iot/gem5 | aeccc8bd8e9a86f96fc7a6f40d978f8494337fc5 | [
"BSD-3-Clause"
] | 807 | 2015-01-06T09:55:38.000Z | 2022-03-30T10:23:36.000Z | # Copyright (c) 2015, 2018 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the function... | 41.270186 | 79 | 0.662503 |
import argparse
import random
import sys
import m5
from m5.objects import *
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("-a", "--atomic", action="store_true",
help="Use atomic (non-timing) mode")
parser.add_argument("-b", "--... | true | true |
1c3ef05626d3001d6615345a37559166642dbf90 | 2,329 | py | Python | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 85 | 2017-11-21T12:22:02.000Z | 2022-03-27T23:07:17.000Z | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 545 | 2017-11-04T14:15:04.000Z | 2022-03-27T14:19:27.000Z | src/tt_xsolla/tt_xsolla/service.py | Alacrate/the-tale | 43b211f3a99e93964e95abc20a8ed649a205ffcf | [
"BSD-3-Clause"
] | 45 | 2017-11-11T12:36:30.000Z | 2022-02-25T06:10:44.000Z |
import logging
import asyncio
from aiohttp import web
from tt_web import log
from tt_web import postgresql
from tt_web.common import event
from . import conf
from . import logic
PAYMENT_PROCESSING_TASK = None
async def start_payment_processing(config):
global PAYMENT_PROCESSING_TASK
async def process_p... | 22.833333 | 95 | 0.738085 |
import logging
import asyncio
from aiohttp import web
from tt_web import log
from tt_web import postgresql
from tt_web.common import event
from . import conf
from . import logic
PAYMENT_PROCESSING_TASK = None
async def start_payment_processing(config):
global PAYMENT_PROCESSING_TASK
async def process_p... | true | true |
1c3ef07816a957f2cca01e78a60ccc6f7ff6c908 | 3,936 | py | Python | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | tests/rbac/common/addresser/task_admin_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # 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 ... | 40.163265 | 88 | 0.689278 | import pytest
from rbac.common import addresser
from rbac.common.logs import get_default_logger
from tests.rbac.common.assertions import TestAssertions
LOGGER = get_default_logger(__name__)
@pytest.mark.addressing
@pytest.mark.library
class TestTaskAdminAddresser(TestAssertions):
def test_address(self):
... | true | true |
1c3ef0d84790c32f8626dfe621ea95c9af18d260 | 1,646 | py | Python | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 6 | 2017-12-31T16:19:16.000Z | 2021-04-26T02:03:30.000Z | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 1 | 2020-06-24T02:37:58.000Z | 2020-06-24T02:37:58.000Z | logging/logging.py | badgeteam/micropython-lib | fca0235c166ebbada489d88c42fc549267832797 | [
"PSF-2.0"
] | 3 | 2019-07-01T18:29:54.000Z | 2020-06-24T20:15:10.000Z | import sys
CRITICAL = 50
ERROR = 40
WARNING = 30
INFO = 20
DEBUG = 10
NOTSET = 0
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_stream = sys.stderr
class Logger:
def __init__(self, name):
self.level = NOTSET
s... | 21.657895 | 96 | 0.595383 | import sys
CRITICAL = 50
ERROR = 40
WARNING = 30
INFO = 20
DEBUG = 10
NOTSET = 0
_level_dict = {
CRITICAL: "CRIT",
ERROR: "ERROR",
WARNING: "WARN",
INFO: "INFO",
DEBUG: "DEBUG",
}
_stream = sys.stderr
class Logger:
def __init__(self, name):
self.level = NOTSET
s... | true | true |
1c3ef0d87119236f2d3e758926f3d1b3c3e375d9 | 625 | py | Python | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | lab/refactoring/decompose_conditional.py | ikejs/SPD-2.31-Testing-and-Architecture | 0f1cc3dc726d748cbd3ae75b336c42697a4b9d82 | [
"MIT"
] | null | null | null | # By Kami Bigdely
# Decompose conditional: You have a complicated conditional(if-then-else) statement. Extract
# methods from the condition, then part, and else part(s).
def make_alert_sound():
print('made alert sound.')
def make_accept_sound():
print('made acceptance sound')
ingredients = [
'sodium benzo... | 21.551724 | 92 | 0.6432 |
def make_alert_sound():
print('made alert sound.')
def make_accept_sound():
print('made acceptance sound')
ingredients = [
'sodium benzoate'
]
toxins = [
'sodium nitrate',
'sodium benzoate',
'sodium oxide'
]
if toxins in ingredients:
print('!!!')
print('there is a toxin in the food!... | true | true |
1c3ef25388e77a1795dd23955ad7fc87a0bb0ddd | 12,693 | py | Python | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | torch/tensor.py | UmaTaru/run | be29e4d41a4de3dee27cd6796801bfe51382d294 | [
"MIT"
] | null | null | null | import torch
from . import _tensor_str
from ._utils import _type, _cuda, _range, _rebuild_tensor
import sys
class _TensorBase(object):
#: bool: True if this is a CUDA tensor
is_cuda = False
is_sparse = False
def new(self, *args, **kwargs):
"""Constructs a new tensor of the same data type."""
... | 32.134177 | 105 | 0.573308 | import torch
from . import _tensor_str
from ._utils import _type, _cuda, _range, _rebuild_tensor
import sys
class _TensorBase(object):
is_cuda = False
is_sparse = False
def new(self, *args, **kwargs):
return self.__class__(*args, **kwargs)
def type_as(self, tensor):
return self.t... | true | true |
1c3ef48bc5e3786c556eee182690af45b40856ac | 1,854 | py | Python | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | secao04_factory/abstract_factory.py | ravellys/design_patterns_python | 6c29d1d77d4522255e10eca237f8f95b69d7210c | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
# Abstract factory
class PizzaFactory(ABC):
@abstractmethod
def criar_pizza(self):
pass
@abstractmethod
def criar_pizza_vegana(self):
pass
# Concrect Factory
class PizzaBrasileiraFactory(PizzaFactory):
def criar_pizza(self):
return Pi... | 22.888889 | 106 | 0.686084 | from abc import ABC, abstractmethod
class PizzaFactory(ABC):
@abstractmethod
def criar_pizza(self):
pass
@abstractmethod
def criar_pizza_vegana(self):
pass
class PizzaBrasileiraFactory(PizzaFactory):
def criar_pizza(self):
return PizzaCamarao()
def criar_pizza_vega... | true | true |
1c3ef5954090ff2844946ed9928596b498fc65ba | 3,200 | py | Python | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | sqlalchemy_collectd/client/tests/test_plugin.py | jvanasco/sqlalchemy-collectd | 8fb2aa04aa66b3b4edfdf04dce1eca70b4a1ab5e | [
"MIT"
] | null | null | null | import unittest
import mock
from sqlalchemy.engine import url as sqla_url
from .. import plugin
class PluginTest(unittest.TestCase):
def test_start_no_args(self):
with mock.patch.object(plugin, "start_plugin") as start_plugin:
url = sqla_url.URL("mysql+pymysql://scott:tiger@localhost/")
... | 36.781609 | 79 | 0.584688 | import unittest
import mock
from sqlalchemy.engine import url as sqla_url
from .. import plugin
class PluginTest(unittest.TestCase):
def test_start_no_args(self):
with mock.patch.object(plugin, "start_plugin") as start_plugin:
url = sqla_url.URL("mysql+pymysql://scott:tiger@localhost/")
... | true | true |
1c3ef6016330ed5b1789e5f911abf858f0b1bf46 | 8,016 | py | Python | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 2 | 2020-06-17T01:23:01.000Z | 2020-06-18T22:17:14.000Z | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 1 | 2019-02-09T15:44:11.000Z | 2019-02-09T15:44:11.000Z | homeassistant/components/tibber/sensor.py | kdschlosser/home-assistant | a94a24f6f83508642e220fadf2799789dc32a25b | [
"Apache-2.0"
] | 1 | 2019-08-13T11:54:30.000Z | 2019-08-13T11:54:30.000Z | """
Support for Tibber.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/sensor.tibber/
"""
import asyncio
import logging
from datetime import timedelta
import aiohttp
from homeassistant.components.tibber import DOMAIN as TIBBER_DOMAIN
from homeassistan... | 33.261411 | 78 | 0.631362 | import asyncio
import logging
from datetime import timedelta
import aiohttp
from homeassistant.components.tibber import DOMAIN as TIBBER_DOMAIN
from homeassistant.exceptions import PlatformNotReady
from homeassistant.helpers.entity import Entity
from homeassistant.util import dt as dt_util
from homeassistant.util im... | true | true |
1c3ef6e63a51101f65832c61279954bc32fb9cee | 432 | py | Python | src/0973_K_closest_points_to_origin.py | hariharanragothaman/leetcode-solutions | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | 2 | 2021-04-21T07:59:42.000Z | 2021-06-17T17:14:26.000Z | src/0973_K_closest_points_to_origin.py | hariharanragothaman/pyrevise-leetcode | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | null | null | null | src/0973_K_closest_points_to_origin.py | hariharanragothaman/pyrevise-leetcode | 44e759f80d3c9df382fdf8d694d6378881e3649d | [
"Apache-2.0"
] | null | null | null | """
Given an array of points, find the number of closest points to origin
"""
from typing import List
import heapq
def KClosest_using_sort(points: List[List[int]], k: int) -> List[List[int]]:
points = sorted(points, lambda P: P[0] ** 2 + P[1] ** 2)
return points[:k]
def KClosest_using_heap(points: List[Lis... | 27 | 76 | 0.652778 |
from typing import List
import heapq
def KClosest_using_sort(points: List[List[int]], k: int) -> List[List[int]]:
points = sorted(points, lambda P: P[0] ** 2 + P[1] ** 2)
return points[:k]
def KClosest_using_heap(points: List[List[int]], k: int) -> List[List[int]]:
return heapq.nsmallest(k, points, key... | true | true |
1c3ef75effc0c8895dcb921e1215e239572fd9cc | 4,592 | py | Python | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | 1 | 2022-01-19T07:50:28.000Z | 2022-01-19T07:50:28.000Z | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | null | null | null | python/oneflow/compatible/single_client/nn/optimizer/sgd.py | mosout/oneflow | afbb221d900f1a340568ae2462b2022f8fcc4b3d | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow 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 applicable law or agr... | 37.639344 | 135 | 0.564895 | import collections
from typing import Callable, Dict, Iterator, List, Union
from oneflow.compatible import single_client as flow
from oneflow.compatible.single_client.nn.parameter import Parameter
from .optimizer import Optimizer, ParamGroup
class SGD(Optimizer):
def __init__(
self,
parameters:... | true | true |
1c3ef780c4c334aeb6fe7c61688c81c9940bc419 | 14,109 | py | Python | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | test/search_api/filters/test_search_api_where_filter.py | antolinos/datagateway-api | c6aa15ea01545f7a8e58e656c569523c60f7e4ef | [
"Apache-2.0"
] | null | null | null | import pytest
from datagateway_api.src.common.date_handler import DateHandler
from datagateway_api.src.common.filter_order_handler import FilterOrderHandler
from datagateway_api.src.search_api.filters import SearchAPIWhereFilter
from datagateway_api.src.search_api.nested_where_filters import NestedWhereFilters
from da... | 44.507886 | 88 | 0.495995 | import pytest
from datagateway_api.src.common.date_handler import DateHandler
from datagateway_api.src.common.filter_order_handler import FilterOrderHandler
from datagateway_api.src.search_api.filters import SearchAPIWhereFilter
from datagateway_api.src.search_api.nested_where_filters import NestedWhereFilters
from da... | true | true |
1c3ef815b3a802937a031342ebb24aaf30ca0421 | 406,377 | py | Python | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Data/scigrid-de/pypower/scigrid_2011_01_06_19.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | from numpy import array
def scigrid_2011_01_06_19():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[586, 3, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[589, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[590, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1,... | 70.933322 | 137 | 0.463252 | from numpy import array
def scigrid_2011_01_06_19():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[586, 3, 0, 0, 0, 0, 0, 1.0, 0, 220.0, 0, 1.1, 0.9 ],
[589, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1, 0.9 ],
[590, 2, 0, 0, 0, 0, 0, 1.0, 0, 380.0, 0, 1.1,... | true | true |
1c3ef8d5d2ecd45e965099d0b652f213cd2a3600 | 1,333 | py | Python | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2018-11-27T03:39:44.000Z | 2021-09-06T15:50:35.000Z | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2019-01-11T20:11:52.000Z | 2019-01-11T20:11:52.000Z | var/spack/repos/builtin/packages/gnat/package.py | HaochengLIU/spack | 26e51ff1705a4d6234e2a0cf734f93f7f95df5cb | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-10-14T14:20:17.000Z | 2020-10-14T14:20:17.000Z | # Copyright 2013-2018 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Gnat(MakefilePackage):
"""The GNAT Ada compiler. Ada is a modern programming language desi... | 40.393939 | 79 | 0.71943 |
from spack import *
class Gnat(MakefilePackage):
homepage = "https://libre.adacore.com/tools/gnat-gpl-edition/"
# There may actually be a way to install GNAT from source. If you go to
# the GNAT Download page: https://libre.adacore.com/download/
# select "Free Software or Academic Development"... | true | true |
1c3ef8da034054faf6b90a5fb4f4bab244f16ddb | 8,709 | py | Python | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | nncf/torch/tensor_statistics/collectors.py | MaximProshin/nncf | 2290d2f4cebcf6749e419dc76850e7bd8b7d8da1 | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2022 Intel Corporation
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 writin... | 43.328358 | 104 | 0.722701 |
from typing import Union, List, Deque
import torch
from nncf.common.tensor import NNCFTensor
from nncf.common.tensor import TensorElementsType
from nncf.common.tensor_statistics.collectors import MinMaxStatisticCollector
from nncf.common.tensor_statistics.collectors import NNCFCollectorTensorProcessor
from nncf.comm... | true | true |
1c3efa4ec23c095d461e41407238996c900843aa | 548 | py | Python | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | 3 | 2021-12-07T22:24:09.000Z | 2022-02-25T01:11:40.000Z | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | null | null | null | logic-programming/11-lesson/homework.py | BrendanGlancy/akron | 3e067ce2e622f4c6d18aecb62402eb888b0bdb7a | [
"MIT"
] | null | null | null | """
Complete Programming Review Questions 1-10 page 464 Programming Exercises 1 on page 467.
1. B
2. C
3. D
4. A
5. B
6. C
7. A
8. B
9. A
10. B
"""
# Design a program that asks the user to enter 10 golf scores. The scores should be stored in an Integer array. Sort the array in ascending order and display its content... | 18.896552 | 171 | 0.638686 |
def main():
scores = []
for i in range(10):
print('Enter golf score ',i)
score = int(input(" "))
scores.append(score)
scores.sort()
print(scores)
if __name__ == "__main__":
main()
| true | true |
1c3efabc4da2175b4ec67c8a48bd257fa8e46bd9 | 5,107 | py | Python | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 26 | 2020-02-24T01:35:32.000Z | 2022-02-17T03:57:06.000Z | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 21 | 2020-03-11T20:07:01.000Z | 2021-11-14T03:12:17.000Z | action_prediction_dataset.py | yukw777/GATA-public | e8c424093377874b395abaf9662f6fb2c553e0f5 | [
"MIT"
] | 12 | 2020-03-02T22:50:35.000Z | 2022-03-08T19:10:51.000Z | import os
import json
from os.path import join as pjoin
from tqdm import tqdm
import numpy as np
import gym
from graph_dataset import GraphDataset
class APData(gym.Env):
FILENAMES_MAP = {
"full": {
"train": "train.full.json",
"valid": "valid.full.json",
"test": "tes... | 37.277372 | 108 | 0.60329 | import os
import json
from os.path import join as pjoin
from tqdm import tqdm
import numpy as np
import gym
from graph_dataset import GraphDataset
class APData(gym.Env):
FILENAMES_MAP = {
"full": {
"train": "train.full.json",
"valid": "valid.full.json",
"test": "tes... | true | true |
1c3efb94a5faeb625776595e939cf45335985bee | 161 | py | Python | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | 1 | 2019-11-30T23:39:38.000Z | 2019-12-01T04:34:35.000Z | tests/model_control/detailed/transf_Integration/model_control_one_enabled_Integration_LinearTrend_BestCycle_MLP.py | jmabry/pyaf | afbc15a851a2445a7824bf255af612dc429265af | [
"BSD-3-Clause"
] | null | null | null | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Integration'] , ['LinearTrend'] , ['BestCycle'] , ['MLP'] ); | 40.25 | 83 | 0.751553 | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Integration'] , ['LinearTrend'] , ['BestCycle'] , ['MLP'] ); | true | true |
1c3efbd6ca771f960b74e6c39b6eb04038e73e32 | 2,519 | py | Python | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | 7 | 2021-11-02T11:23:49.000Z | 2022-02-16T13:25:47.000Z | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | null | null | null | experiments/06_preprocessing/plot_histograms.py | fsschneider/cockpit-experiments | a9eaf3dc5da5a58356ac0eef25a11235bf0891c4 | [
"MIT"
] | 2 | 2021-11-02T11:23:54.000Z | 2022-02-02T15:56:03.000Z | """Plot the histograms for different pre-processing strategies."""
import os
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import run_histograms_cifar10
import run_histograms_imagenet
import seaborn as sns
from cockpit import CockpitPlotter
from cockpit.instruments.histogram_2d_gauge import _get... | 27.681319 | 79 | 0.709408 |
import os
import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import run_histograms_cifar10
import run_histograms_imagenet
import seaborn as sns
from cockpit import CockpitPlotter
from cockpit.instruments.histogram_2d_gauge import _get_xmargin_histogram_data
sys.path.append(os.getcwd())
from experime... | true | true |
1c3efc920c9907cf51d01d38531a5b3c94401441 | 1,139 | py | Python | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | 2 | 2021-08-16T07:07:43.000Z | 2022-01-24T16:05:35.000Z | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | null | null | null | plot.py | s-gv/pymotoplus | 873b967747d98d9c9e066496547aa09ce164c8a1 | [
"BSD-2-Clause"
] | 1 | 2021-07-19T02:28:10.000Z | 2021-07-19T02:28:10.000Z | # Copyright (c) 2019 Sagar Gubbi. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import numpy as np
import matplotlib
import json
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def main():
rows = []
with open('log.txt') as f:
... | 30.783784 | 118 | 0.565408 |
import numpy as np
import matplotlib
import json
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def main():
rows = []
with open('log.txt') as f:
for line in f:
if line.startswith(':u_fx:'):
txt = '{"' + line[1:].strip().replace(': ', '": ').replace(', ', ', "') + '}'... | true | true |
1c3efd1348ec046804b606eac521ae4e8ed3cb77 | 7,645 | py | Python | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | null | null | null | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | 4 | 2021-01-12T18:24:20.000Z | 2021-01-20T16:03:07.000Z | src/json_utils.py | moreymat/demi-ou-moitie | 72e3cf4a4a4db082969b5c33152ecca389214eab | [
"MIT"
] | null | null | null | # functions to manipulate the datas
import json
import io
import os
from pathlib import Path
import json
# Parameter: json_path: path to json file
#
# Output: a string representing the data
def extract_text_from_json(json_path):
with open(json_path) as json_file:
data = json.load(json_file)... | 31.590909 | 87 | 0.398169 |
import json
import io
import os
from pathlib import Path
import json
def extract_text_from_json(json_path):
with open(json_path) as json_file:
data = json.load(json_file)
result = ""
print("Nombre d'arrété dans ", json_path, ": ", len(data["arretes"]))
for arrete in data["a... | true | true |
1c3efe1206769bebd4f2f227ff1d560751c18fc7 | 3,245 | py | Python | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | 2 | 2018-03-14T08:49:07.000Z | 2019-05-20T02:31:38.000Z | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | null | null | null | training/word_vectors.py | howl-anderson/spacy-dev-resources | 4ba4bea947c4bb6779066f4ef6a30decaad304e4 | [
"MIT"
] | 1 | 2020-11-06T06:02:20.000Z | 2020-11-06T06:02:20.000Z | #!/usr/bin/env python
from __future__ import print_function, unicode_literals, division
import io
import bz2
import logging
from os import path
import os
import random
from collections import defaultdict
import plac
try:
import ujson as json
except ImportError:
import json
from gensim.models import Word2Vec
fr... | 31.504854 | 102 | 0.639137 | from __future__ import print_function, unicode_literals, division
import io
import bz2
import logging
from os import path
import os
import random
from collections import defaultdict
import plac
try:
import ujson as json
except ImportError:
import json
from gensim.models import Word2Vec
from preshed.counter imp... | true | true |
1c3efe168a0e06acb0d1c01f34daba0d3e09ab59 | 3,817 | py | Python | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | fastreid/data/build.py | tenghehan/reid_without_id | d1d0ff273b1ef19fc6da8cbbf210527779b37455 | [
"MIT"
] | null | null | null | # encoding: utf-8
"""
@author: l1aoxingyu
@contact: sherlockliao01@gmail.com
"""
import os
import torch
from torch._six import container_abcs, string_classes, int_classes
from torch.utils.data import DataLoader
from fastreid.utils import comm
from . import samplers
from .common import CommDataset
from .datasets impo... | 33.482456 | 124 | 0.698192 |
import os
import torch
from torch._six import container_abcs, string_classes, int_classes
from torch.utils.data import DataLoader
from fastreid.utils import comm
from . import samplers
from .common import CommDataset
from .datasets import DATASET_REGISTRY
from .transforms import build_transforms
_root = os.getenv("F... | true | true |
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