max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
users/urls.py | dhirajshah04/moneytracker | 1 | 6624951 | <reponame>dhirajshah04/moneytracker
from django.urls import path
from users import views
app_name = 'users'
urlpatterns = [
path('login/', views.user_login, name='login'),
path('logout/', views.user_logout, name='user_logout'),
path('register/', views.user_register, name='user_register'),
] | from django.urls import path
from users import views
app_name = 'users'
urlpatterns = [
path('login/', views.user_login, name='login'),
path('logout/', views.user_logout, name='user_logout'),
path('register/', views.user_register, name='user_register'),
] | none | 1 | 1.742513 | 2 | |
src/v1/009-log1p.py | peterorum/kaggle-house-prices | 0 | 6624952 | # feature importance
# local score 0.0449
# kaggle score .14106
# minimize score
import os
import sys # noqa
from time import time
from pprint import pprint # noqa
import lightgbm as lgb
import numpy as np
import pandas as pd
from sklearn.metrics import mean_squared_error
from sklearn.feature_selection import Varian... | # feature importance
# local score 0.0449
# kaggle score .14106
# minimize score
import os
import sys # noqa
from time import time
from pprint import pprint # noqa
import lightgbm as lgb
import numpy as np
import pandas as pd
from sklearn.metrics import mean_squared_error
from sklearn.feature_selection import Varian... | en | 0.710445 | # feature importance # local score 0.0449 # kaggle score .14106 # minimize score # noqa # noqa # if is_kaggle else '.zip' # if is_kaggle else 'sample' # noqa # --- missing values # identify missing values above threshold # restore after align # --- remove keys # --- replace missing values # replace missing numericals w... | 2.63204 | 3 |
QUANTAXIS/QAFetch/Fetcher.py | Gahyu96/QUANTAXIS | 1 | 6624953 | <reponame>Gahyu96/QUANTAXIS<gh_stars>1-10
# coding:utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2018 yutiansut/QUANTAXIS
#
# 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 re... | # coding:utf-8
#
# The MIT License (MIT)
#
# Copyright (c) 2016-2018 yutiansut/QUANTAXIS
#
# 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 th... | en | 0.456563 | # coding:utf-8 # # The MIT License (MIT) # # Copyright (c) 2016-2018 yutiansut/QUANTAXIS # # 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 th... | 1.188816 | 1 |
school_backend/school_backend/migrations/0003_auto_20200920_1730.py | Robin-Bonnin/manatal-django-test | 0 | 6624954 | # Generated by Django 3.1.1 on 2020-09-20 10:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('school_backend', '0002_school_type'),
]
operations = [
migrations.RenameField(
model_name='school',
old_name='type',
... | # Generated by Django 3.1.1 on 2020-09-20 10:30
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('school_backend', '0002_school_type'),
]
operations = [
migrations.RenameField(
model_name='school',
old_name='type',
... | en | 0.739788 | # Generated by Django 3.1.1 on 2020-09-20 10:30 | 1.77314 | 2 |
tests/test_external/test_sdk/test_measure_if_conn.py | Doomsk/netqasm | 6 | 6624955 | from netqasm.logging.glob import get_netqasm_logger
from netqasm.runtime.application import default_app_instance
from netqasm.sdk import Qubit
from netqasm.sdk.external import NetQASMConnection, simulate_application
logger = get_netqasm_logger()
def run_alice():
num = 1
with NetQASMConnection("Alice") as ali... | from netqasm.logging.glob import get_netqasm_logger
from netqasm.runtime.application import default_app_instance
from netqasm.sdk import Qubit
from netqasm.sdk.external import NetQASMConnection, simulate_application
logger = get_netqasm_logger()
def run_alice():
num = 1
with NetQASMConnection("Alice") as ali... | ja | 0.215721 | # set_log_level("DEBUG") | 2.13449 | 2 |
docs/ui/examples/example983d145a22433403a41b63bde6927f49.py | okajun35/Flexx_translate_ja | 1 | 6624956 | from flexx import app, event, ui
class Example(ui.Widget):
CSS = '''
.flx-DropdownContainer > .flx-TreeWidget {
min-height: 150px;
}
'''
def init(self):
# A nice and cosy tree view
with ui.DropdownContainer(text='Scene graph'):
with ui.TreeWidget(m... | from flexx import app, event, ui
class Example(ui.Widget):
CSS = '''
.flx-DropdownContainer > .flx-TreeWidget {
min-height: 150px;
}
'''
def init(self):
# A nice and cosy tree view
with ui.DropdownContainer(text='Scene graph'):
with ui.TreeWidget(m... | en | 0.333867 | .flx-DropdownContainer > .flx-TreeWidget { min-height: 150px; } # A nice and cosy tree view # A combobox | 2.6998 | 3 |
Source/build/scripts/make_element_factory.py | quanganh2627/bytm-x64-L-w05-2015_external_chromium_org_third_party_WebKit | 0 | 6624957 | #!/usr/bin/env python
# Copyright (C) 2013 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list ... | #!/usr/bin/env python
# Copyright (C) 2013 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list ... | en | 0.729829 | #!/usr/bin/env python # Copyright (C) 2013 Google Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list ... | 1.365429 | 1 |
src/dss/Serializer.py | akiyoko/django-simple-serializer | 0 | 6624958 | # coding: utf-8
from __future__ import unicode_literals
import sys
PY2 = True
if sys.version < '3':
from future.builtins import str, int
PY2 = False
import datetime
import json
from decimal import Decimal
from .TimeFormatFactory import TimeFormatFactory
try:
from django.db import models
from django... | # coding: utf-8
from __future__ import unicode_literals
import sys
PY2 = True
if sys.version < '3':
from future.builtins import str, int
PY2 = False
import datetime
import json
from decimal import Decimal
from .TimeFormatFactory import TimeFormatFactory
try:
from django.db import models
from django... | en | 0.833554 | # coding: utf-8 | 2.122511 | 2 |
easy_efficientdet/_third_party/decoder.py | waldemarmeier/easy-efficientdet | 0 | 6624959 | """
extracted from keras examples
no explicit license notice is provided
Original Code:
https://keras.io/examples/vision/retinanet/#implementing-a-custom-layer-to-decode-predictions
"""
from typing import Optional, Sequence
import tensorflow as tf
from tensorflow import keras
from easy_efficientdet.anchors import ge... | """
extracted from keras examples
no explicit license notice is provided
Original Code:
https://keras.io/examples/vision/retinanet/#implementing-a-custom-layer-to-decode-predictions
"""
from typing import Optional, Sequence
import tensorflow as tf
from tensorflow import keras
from easy_efficientdet.anchors import ge... | en | 0.736453 | extracted from keras examples no explicit license notice is provided Original Code: https://keras.io/examples/vision/retinanet/#implementing-a-custom-layer-to-decode-predictions A Keras layer that decodes predictions of the RetinaNet model. Attributes: num_classes: Number of classes in the dataset conf... | 2.975527 | 3 |
nikola/winutils.py | ivanyschen/nikola | 1,901 | 6624960 | # -*- coding: utf-8 -*-
# Copyright © 2012-2021 <NAME> and others.
# 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, c... | # -*- coding: utf-8 -*-
# Copyright © 2012-2021 <NAME> and others.
# 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, c... | en | 0.841441 | # -*- coding: utf-8 -*- # Copyright © 2012-2021 <NAME> and others. # 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, cop... | 1.754266 | 2 |
easyreg/test_expr.py | norveclibalikci/easyreg-mirror | 0 | 6624961 | from time import time
from .net_utils import get_test_model
import os
import numpy as np
def test_model(opt,model, dataloaders):
model_path = opt['tsk_set']['path']['model_load_path']
if isinstance(model_path, list):
for i, path in enumerate(model_path):
__test_model(opt,model,dataloaders... | from time import time
from .net_utils import get_test_model
import os
import numpy as np
def test_model(opt,model, dataloaders):
model_path = opt['tsk_set']['path']['model_load_path']
if isinstance(model_path, list):
for i, path in enumerate(model_path):
__test_model(opt,model,dataloaders... | en | 0.175731 | #opt['tsk_set']['running_range'] # todo should be [-1] #['val','test'] ###################################3 ##############TODO model.optimizer " multi_metric_res:{iou: Bx #label , dice: Bx#label...} , | 2.06216 | 2 |
evennia/utils/ansi.py | TwinklePie/evennia-nvn | 0 | 6624962 | <gh_stars>0
"""
ANSI - Gives colour to text.
Use the codes defined in ANSIPARSER in your text
to apply colour to text according to the ANSI standard.
Examples:
This is %crRed text%cn and this is normal again.
This is {rRed text{n and this is normal again.
Mostly you should not need to call parse_ansi() explicitly;... | """
ANSI - Gives colour to text.
Use the codes defined in ANSIPARSER in your text
to apply colour to text according to the ANSI standard.
Examples:
This is %crRed text%cn and this is normal again.
This is {rRed text{n and this is normal again.
Mostly you should not need to call parse_ansi() explicitly;
it is run b... | en | 0.873319 | ANSI - Gives colour to text. Use the codes defined in ANSIPARSER in your text to apply colour to text according to the ANSI standard. Examples: This is %crRed text%cn and this is normal again. This is {rRed text{n and this is normal again. Mostly you should not need to call parse_ansi() explicitly; it is run by Ev... | 3.673561 | 4 |
shaka/tools/make_license_file.py | jgongo/shaka-player-embedded | 185 | 6624963 | <reponame>jgongo/shaka-player-embedded
#!/usr/bin/python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Un... | #!/usr/bin/python
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | en | 0.860253 | #!/usr/bin/python # Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agre... | 2.716442 | 3 |
buylling.py | Tanushree28/Cyberbullying-Detection | 1 | 6624964 | <filename>buylling.py
# linear algebra
import pandas as pd
import numpy as np
import nltk
import re
from nltk.stem import PorterStemmer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.model_selection import train_test_split
from skle... | <filename>buylling.py
# linear algebra
import pandas as pd
import numpy as np
import nltk
import re
from nltk.stem import PorterStemmer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.model_selection import train_test_split
from skle... | en | 0.727616 | # linear algebra #top n (5 by default) rows of a data frame or series. #Return a tuple representing the dimensionality of the DataFrame #Detect missing values. # Generate descriptive statistics. # Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution,... | 3.102263 | 3 |
lecture/migrations/0001_initial.py | bluesky0960/MiniProject1-DjangoWebApp_n | 0 | 6624965 | # Generated by Django 3.1.14 on 2022-01-27 02:00
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Memo'... | # Generated by Django 3.1.14 on 2022-01-27 02:00
import datetime
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Memo'... | en | 0.843149 | # Generated by Django 3.1.14 on 2022-01-27 02:00 | 1.831323 | 2 |
miriam/schedule_build.py | troydai/Miriam | 1 | 6624966 | <reponame>troydai/Miriam<filename>miriam/schedule_build.py<gh_stars>1-10
import argparse
from azure.batch import BatchServiceClient
from azure.storage.blob import BlockBlobService
def generate_build_id():
from datetime import datetime
timestamp = datetime.utcnow().strftime('%Y%m%d-%H%M%S')
return 'build... | import argparse
from azure.batch import BatchServiceClient
from azure.storage.blob import BlockBlobService
def generate_build_id():
from datetime import datetime
timestamp = datetime.utcnow().strftime('%Y%m%d-%H%M%S')
return 'build-{}'.format(timestamp)
def get_build_blob_container_url(storage_client:... | en | 0.944179 | Schedule a build job in the given pool. returns the container for build output and job reference. Building and running tests are two separate jobs so that the testing job can relies on job preparation tasks to prepare test environment. The product and test build is an essential part of the preparation. The job... | 2.322225 | 2 |
python/http/tcp-chat/tcp_chat_client.py | zhubl/planless | 4 | 6624967 | <gh_stars>1-10
# -*- coding:utf8 -*-
# python3
from socket import *
import threading
import time
HOST = '127.0.0.1'
PORT = 5000
ADDR = (HOST, PORT)
BUFSIZ = 1024
tcp_client = socket(AF_INET, SOCK_STREAM)
tcp_client.connect(ADDR)
def send_message():
while True:
input_data = input(">>> ... | # -*- coding:utf8 -*-
# python3
from socket import *
import threading
import time
HOST = '127.0.0.1'
PORT = 5000
ADDR = (HOST, PORT)
BUFSIZ = 1024
tcp_client = socket(AF_INET, SOCK_STREAM)
tcp_client.connect(ADDR)
def send_message():
while True:
input_data = input(">>> ")
if ... | en | 0.278348 | # -*- coding:utf8 -*- # python3 | 3.232225 | 3 |
CustomScript/test/create_test_blob.py | shridpant/azure-linux-extensions | 266 | 6624968 | <reponame>shridpant/azure-linux-extensions<filename>CustomScript/test/create_test_blob.py
import blob
import blob_mooncake
import customscript as cs
from azure.storage import BlobService
def create_blob(blob, txt):
uri = blob.uri
host_base = cs.get_host_base_from_uri(uri)
service = BlobService(blob.name,
... | import blob
import blob_mooncake
import customscript as cs
from azure.storage import BlobService
def create_blob(blob, txt):
uri = blob.uri
host_base = cs.get_host_base_from_uri(uri)
service = BlobService(blob.name,
blob.key,
host_base=host_base)
... | none | 1 | 2.640901 | 3 | |
ckan/tests/logic/test_converters.py | ziveo/ckan | 58 | 6624969 | <reponame>ziveo/ckan<filename>ckan/tests/logic/test_converters.py<gh_stars>10-100
# encoding: utf-8
"""Unit tests for ckan/logic/converters.py.
"""
import ckan.logic.converters as converters
def test_leading_space():
string = " http://example.com"
expected = "http://example.com"
converted = converters.r... | # encoding: utf-8
"""Unit tests for ckan/logic/converters.py.
"""
import ckan.logic.converters as converters
def test_leading_space():
string = " http://example.com"
expected = "http://example.com"
converted = converters.remove_whitespace(string, {})
assert expected == converted
def test_trailing_... | en | 0.763044 | # encoding: utf-8 Unit tests for ckan/logic/converters.py. | 2.533012 | 3 |
critiquebrainz/ws/testing.py | akshaaatt/critiquebrainz | 70 | 6624970 | import os
from flask_testing import TestCase
import critiquebrainz.db.oauth_client as db_oauth_client
import critiquebrainz.db.users as db_users
from critiquebrainz.data.utils import create_all, drop_tables, drop_types
from critiquebrainz.ws import create_app
from critiquebrainz.ws.oauth import oauth
class WebServi... | import os
from flask_testing import TestCase
import critiquebrainz.db.oauth_client as db_oauth_client
import critiquebrainz.db.users as db_users
from critiquebrainz.data.utils import create_all, drop_tables, drop_types
from critiquebrainz.ws import create_app
from critiquebrainz.ws.oauth import oauth
class WebServi... | en | 0.27904 | # TODO(roman): Add stuff form fixtures. | 2.179742 | 2 |
sdk/keyvault/azure-keyvault-certificates/azure/keyvault/certificates/aio/client.py | GabrielHobold/azure-sdk-for-python | 0 | 6624971 | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
# pylint:disable=too-many-lines,too-many-public-methods
import base64
from typing import Any, AsyncIterable, Optional, Iterable, List, Dict, Union
from functools import ... | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
# pylint:disable=too-many-lines,too-many-public-methods
import base64
from typing import Any, AsyncIterable, Optional, Iterable, List, Dict, Union
from functools import ... | en | 0.655296 | # ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------ # pylint:disable=too-many-lines,too-many-public-methods A high-level asynchronous interface for managing a vault's certificates. :param str vault_endpoint: URL of t... | 1.906714 | 2 |
lib/pymodules/socials/socials.py | LimpingNinja/ngenmud | 4 | 6624972 | <gh_stars>1-10
"""
package: socials
socials are commonly used emotes (e.g. smiling, grinning, laughing). Instead
making people have to write out an entire emote every time they would like
to express such an emote, they can simply use one of these simple commands
to perform a pre-made emote. This is essentially a copy ... | """
package: socials
socials are commonly used emotes (e.g. smiling, grinning, laughing). Instead
making people have to write out an entire emote every time they would like
to express such an emote, they can simply use one of these simple commands
to perform a pre-made emote. This is essentially a copy of the c module... | en | 0.906452 | package: socials socials are commonly used emotes (e.g. smiling, grinning, laughing). Instead making people have to write out an entire emote every time they would like to express such an emote, they can simply use one of these simple commands to perform a pre-made emote. This is essentially a copy of the c module wri... | 2.692797 | 3 |
tensorflow/python/framework/sparse_tensor.py | connectthefuture/tensorflow | 1 | 6624973 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | en | 0.697047 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica... | 2.090289 | 2 |
exaslct_src/lib/test_runner/upload_exported_container.py | mace84/script-languages | 0 | 6624974 | import pathlib
import luigi
from exaslct_src.lib.data.dependency_collector.dependency_release_info_collector import DependencyExportInfoCollector
from exaslct_src.lib.data.release_info import ExportInfo
from exaslct_src.lib.test_runner.upload_file_to_db import UploadFileToBucketFS
class UploadExportedContainer(Uplo... | import pathlib
import luigi
from exaslct_src.lib.data.dependency_collector.dependency_release_info_collector import DependencyExportInfoCollector
from exaslct_src.lib.data.release_info import ExportInfo
from exaslct_src.lib.test_runner.upload_file_to_db import UploadFileToBucketFS
class UploadExportedContainer(Uplo... | en | 0.906729 | # TODO directory /exports is as data dependency to SpawnTestContainer | 1.994827 | 2 |
src/sagemaker/local/data.py | anirudh2290/sagemaker-python-sdk | 1 | 6624975 | <filename>src/sagemaker/local/data.py<gh_stars>1-10
# Copyright 2018-2020 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://a... | <filename>src/sagemaker/local/data.py<gh_stars>1-10
# Copyright 2018-2020 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://a... | en | 0.795558 | # Copyright 2018-2020 Amazon.com, Inc. or its affiliates. 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. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" fil... | 1.962068 | 2 |
IntegerExample.py | ZnoKunG/PythonProject | 0 | 6624976 | print(18/2)
print(type(18/2))
print(18+2)
print(18-2)
print(18*2) | print(18/2)
print(type(18/2))
print(18+2)
print(18-2)
print(18*2) | none | 1 | 2.340098 | 2 | |
day_tripper_project/day_tripper_application/apps.py | JasonSpeerbrecker/Day-Tripper | 0 | 6624977 | <gh_stars>0
from django.apps import AppConfig
class DayTripperApplicationConfig(AppConfig):
name = 'day_tripper_application'
| from django.apps import AppConfig
class DayTripperApplicationConfig(AppConfig):
name = 'day_tripper_application' | none | 1 | 1.087902 | 1 | |
etc/scripts/docenizer.py | DarkArc/compiler-explorer | 2 | 6624978 | <filename>etc/scripts/docenizer.py
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
import argparse
import json
import os
import re
import sys
import tarfile
import urllib
try:
from bs4 import BeautifulSoup
except ImportError:
raise ImportError("Please install BeautifulSoup (apt-get install python-bs4 should do... | <filename>etc/scripts/docenizer.py
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
import argparse
import json
import os
import re
import sys
import tarfile
import urllib
try:
from bs4 import BeautifulSoup
except ImportError:
raise ImportError("Please install BeautifulSoup (apt-get install python-bs4 should do... | en | 0.863841 | #! /usr/bin/env python2 # -*- coding: utf-8 -*- # The maximum number of paragraphs from the description to copy. # Some instructions are so broken we just take their names from the filename # Some files contain instructions which cannot be parsed and which compilers are unlikely to emit # SGX pseudo-instructions # VMX ... | 2.696662 | 3 |
server/data_analysis/los_alamos_processing/parse_auth.py | xhuang98/Dtect | 1 | 6624979 | <reponame>xhuang98/Dtect
import json
from .util import parse_line
if __name__ == '__main__':
path = "D:\\los alamos\\auth.txt"
# path = "auth_short.txt"
f = open(path)
limit = 5000
count = 0
for line in f:
if count > limit:
break
try:
values = parse_line... | import json
from .util import parse_line
if __name__ == '__main__':
path = "D:\\los alamos\\auth.txt"
# path = "auth_short.txt"
f = open(path)
limit = 5000
count = 0
for line in f:
if count > limit:
break
try:
values = parse_line(line)
... | en | 0.780775 | # path = "auth_short.txt" | 2.480278 | 2 |
net.py | j-friedrich/neuronalGPR | 2 | 6624980 | # Copyright 2016, <NAME>, All rights reserved.
# This code is based on the code by <NAME> used for his
# paper "Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks".
import warnings
warnings.filterwarnings("ignore")
import math
from scipy.special import logsumexp
import numpy as np
from ... | # Copyright 2016, <NAME>, All rights reserved.
# This code is based on the code by <NAME> used for his
# paper "Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks".
import warnings
warnings.filterwarnings("ignore")
import math
from scipy.special import logsumexp
import numpy as np
from ... | en | 0.831558 | # Copyright 2016, <NAME>, All rights reserved. # This code is based on the code by <NAME> used for his # paper "Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks". Constructor for the class implementing a Bayesian neural network trained with the probabilistic back propagation m... | 3.325239 | 3 |
conans/model/conan_generator.py | sigmunjr/conan | 1 | 6624981 | <filename>conans/model/conan_generator.py
from abc import ABCMeta, abstractproperty
import six
@six.add_metaclass(ABCMeta)
class Generator(object):
def __init__(self, conanfile):
self.conanfile = conanfile
self.normalize = True
self._deps_build_info = conanfile.deps_cpp_info
self... | <filename>conans/model/conan_generator.py
from abc import ABCMeta, abstractproperty
import six
@six.add_metaclass(ABCMeta)
class Generator(object):
def __init__(self, conanfile):
self.conanfile = conanfile
self.normalize = True
self._deps_build_info = conanfile.deps_cpp_info
self... | none | 1 | 2.732033 | 3 | |
vi.py | magnetar-iiith/PRIL | 1 | 6624982 | import numpy as np
import gym
import random
import tools
from cvxopt import matrix, solvers
import matplotlib.pyplot as plt
import numpy.random as rn
import copy
import sys
from contextlib import closing
from io import StringIO
from gym import utils
from gym.envs.toy_text import discrete
import os
import argparse
from... | import numpy as np
import gym
import random
import tools
from cvxopt import matrix, solvers
import matplotlib.pyplot as plt
import numpy.random as rn
import copy
import sys
from contextlib import closing
from io import StringIO
from gym import utils
from gym.envs.toy_text import discrete
import os
import argparse
from... | en | 0.767497 | #the value of each action # choose the action which gives the maximum value | 1.827804 | 2 |
insomniac/hardban_indicator.py | chikko80/Insomniac | 0 | 6624983 | <filename>insomniac/hardban_indicator.py
from insomniac.utils import *
class HardBanError(Exception):
pass
class HardBanIndicator:
WEBVIEW_ACTIVITY_NAME = "com.instagram.simplewebview.SimpleWebViewActivity"
def detect_webview(self, device):
"""
While "hard banned" Instagram shows you a... | <filename>insomniac/hardban_indicator.py
from insomniac.utils import *
class HardBanError(Exception):
pass
class HardBanIndicator:
WEBVIEW_ACTIVITY_NAME = "com.instagram.simplewebview.SimpleWebViewActivity"
def detect_webview(self, device):
"""
While "hard banned" Instagram shows you a... | en | 0.927065 | While "hard banned" Instagram shows you a webview with CAPTCHA and request to confirm your account. So what we need is to simply detect that topmost activity is a webview. | 2.873102 | 3 |
plugins/link.py | shadabk96/mm_hack | 0 | 6624984 | <filename>plugins/link.py<gh_stars>0
# -*- coding: utf-8 -*-
import logging
import re
import time
import link_constants
from linkbot import session, settings
from linkbot.bot import listen_to, respond_to
from linkbot.scheduler import schedule, catch_exceptions
from linkbot.utils import allow_only_direct_message
from li... | <filename>plugins/link.py<gh_stars>0
# -*- coding: utf-8 -*-
import logging
import re
import time
import link_constants
from linkbot import session, settings
from linkbot.bot import listen_to, respond_to
from linkbot.scheduler import schedule, catch_exceptions
from linkbot.utils import allow_only_direct_message
from li... | en | 0.646979 | # -*- coding: utf-8 -*- # get relevant info from message # extract link from message # clean message # store in db Subscribes sender of message of Link aggregation scheduled update by the bot Currently Link aggregation update is scheduled for every 30 seconds for testing purposes - schedule.every(SCHEDULED_UPD... | 2.026373 | 2 |
tools/mo/openvino/tools/mo/front/onnx/constant_of_shape_ext.py | pazamelin/openvino | 1 | 6624985 | <filename>tools/mo/openvino/tools/mo/front/onnx/constant_of_shape_ext.py
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from onnx import numpy_helper
from openvino.tools.mo.front.common.partial_infer.utils import mo_array
from openvino.tools.mo.front.extractor imp... | <filename>tools/mo/openvino/tools/mo/front/onnx/constant_of_shape_ext.py
# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from onnx import numpy_helper
from openvino.tools.mo.front.common.partial_infer.utils import mo_array
from openvino.tools.mo.front.extractor imp... | de | 0.248959 | # Copyright (C) 2018-2021 Intel Corporation # SPDX-License-Identifier: Apache-2.0 | 1.952985 | 2 |
Day 17/quiz_brain.py | Jackson-Miller/python-boot-camp | 0 | 6624986 | <gh_stars>0
class QuizBrain:
def __init__(self, q_list):
self.score = 0
self.question_number = 0
self.question_list = q_list
def still_has_questions(self):
return self.question_number < len(self.question_list)
def next_question(self):
question = self.question_list[s... | class QuizBrain:
def __init__(self, q_list):
self.score = 0
self.question_number = 0
self.question_list = q_list
def still_has_questions(self):
return self.question_number < len(self.question_list)
def next_question(self):
question = self.question_list[self.question... | none | 1 | 3.589128 | 4 | |
test/test_acl_plugin_l2l3.py | lfntac/vpp | 1 | 6624987 | <filename>test/test_acl_plugin_l2l3.py<gh_stars>1-10
#!/usr/bin/env python
"""ACL IRB Test Case HLD:
**config**
- L2 MAC learning enabled in l2bd
- 2 routed interfaces untagged, bvi (Bridge Virtual Interface)
- 2 bridged interfaces in l2bd with bvi
**test**
- sending ip4 eth pkts between routed interf... | <filename>test/test_acl_plugin_l2l3.py<gh_stars>1-10
#!/usr/bin/env python
"""ACL IRB Test Case HLD:
**config**
- L2 MAC learning enabled in l2bd
- 2 routed interfaces untagged, bvi (Bridge Virtual Interface)
- 2 bridged interfaces in l2bd with bvi
**test**
- sending ip4 eth pkts between routed interf... | en | 0.727608 | #!/usr/bin/env python ACL IRB Test Case HLD: **config** - L2 MAC learning enabled in l2bd - 2 routed interfaces untagged, bvi (Bridge Virtual Interface) - 2 bridged interfaces in l2bd with bvi **test** - sending ip4 eth pkts between routed interfaces - 2 routed interfaces - 2 bridged i... | 2.118922 | 2 |
py_env/lib/python3.4/site-packages/py_library/__init__.py | saurabhranem/saurabh_library | 0 | 6624988 | name = "py_advanced_search_list" | name = "py_advanced_search_list" | none | 1 | 1.107247 | 1 | |
wwara_gd77.py | ajorg/WWARA | 0 | 6624989 | <reponame>ajorg/WWARA
#!/usr/bin/env python
"""Converts a WWARA database dump to GB3GF CSV format for GD-77."""
import codecs
import logging
from csv import DictReader, DictWriter
from decimal import Decimal
from io import BytesIO, StringIO
from sys import stdout, stderr
from zipfile import ZipFile
LOG = logging.getLo... | #!/usr/bin/env python
"""Converts a WWARA database dump to GB3GF CSV format for GD-77."""
import codecs
import logging
from csv import DictReader, DictWriter
from decimal import Decimal
from io import BytesIO, StringIO
from sys import stdout, stderr
from zipfile import ZipFile
LOG = logging.getLogger(__name__)
FIELDN... | en | 0.606234 | #!/usr/bin/env python Converts a WWARA database dump to GB3GF CSV format for GD-77. Decimal.normalize gives 2E+1 for 20... Checks if the mode is supported. # 2M # 70CM Formats a usable name for the repeater. Converts the mode per WWARA to the Channel Type per GD-77 Returns the DMR Color Code from the WWARA record Conve... | 2.477736 | 2 |
PyATS/inventories/test/job.py | dmmar/netascode | 36 | 6624990 | # Example: job.py
# -------------------
from pyats.easypy import run
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--ntp-server', dest='ntp_server', type=str, required=True)
parser.add_argument('--devices', dest = 'devices', nargs='+', required=True)
args = parser.parse_args()
ntp_server = ... | # Example: job.py
# -------------------
from pyats.easypy import run
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--ntp-server', dest='ntp_server', type=str, required=True)
parser.add_argument('--devices', dest = 'devices', nargs='+', required=True)
args = parser.parse_args()
ntp_server = ... | en | 0.424554 | # Example: job.py # ------------------- # run api launches a testscript as an individual task. # run('ntp_check_v2_no_rollback.py', devices=devices, ntp_server=ntp_server) | 2.473384 | 2 |
Test/output_test.py | robinsonkwame/pycm | 0 | 6624991 | <reponame>robinsonkwame/pycm
# -*- coding: utf-8 -*-
"""
>>> from pycm import *
>>> import os
>>> import json
>>> import numpy as np
>>> y_test = np.array([600, 200, 200, 200, 200, 200, 200, 200, 500, 500, 500, 200, 200, 200, 200, 200, 200, 200, 200, 200])
>>> y_pred = np.array([100, 200, 200, 100, 100, 200, 200, 200, ... | # -*- coding: utf-8 -*-
"""
>>> from pycm import *
>>> import os
>>> import json
>>> import numpy as np
>>> y_test = np.array([600, 200, 200, 200, 200, 200, 200, 200, 500, 500, 500, 200, 200, 200, 200, 200, 200, 200, 200, 200])
>>> y_pred = np.array([100, 200, 200, 100, 100, 200, 200, 200, 100, 200, 500, 100, 100, 100,... | en | 0.416554 | # -*- coding: utf-8 -*- >>> from pycm import * >>> import os >>> import json >>> import numpy as np >>> y_test = np.array([600, 200, 200, 200, 200, 200, 200, 200, 500, 500, 500, 200, 200, 200, 200, 200, 200, 200, 200, 200]) >>> y_pred = np.array([100, 200, 200, 100, 100, 200, 200, 200, 100, 200, 500, 100, 100, 100, 100... | 2.410646 | 2 |
ContentGrabbing/ContentChemanager.py | JTischbein/KGL-ChemicalCompounds-CC | 0 | 6624992 | <reponame>JTischbein/KGL-ChemicalCompounds-CC
# Crawling for content of articles from chemanager
from configparser import ConfigParser
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from ... | # Crawling for content of articles from chemanager
from configparser import ConfigParser
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_con... | en | 0.957699 | # Crawling for content of articles from chemanager # get all links from chemamager which are actually working # Article library does not work here properly. We have to extract the text from the div manuall | 2.772903 | 3 |
cmptree.py | dglo/svn2git_tools | 0 | 6624993 | <gh_stars>0
#!/usr/bin/env python
from __future__ import print_function
import argparse
import filecmp
import os
import sys
class TreePath(object):
LEFT = 1
RIGHT = 2
BOTH = 3
def __init__(self, pathsrc, dirpath, filename):
self.__pathsrc = pathsrc
self.__dirpath = dirpath
s... | #!/usr/bin/env python
from __future__ import print_function
import argparse
import filecmp
import os
import sys
class TreePath(object):
LEFT = 1
RIGHT = 2
BOTH = 3
def __init__(self, pathsrc, dirpath, filename):
self.__pathsrc = pathsrc
self.__dirpath = dirpath
self.__filena... | en | 0.768977 | #!/usr/bin/env python # clear previously cached values # if we haven't compared anything, build the comparison object # build lists of added/changed/deleted files # check subdirectories | 2.996156 | 3 |
var/spack/repos/builtin/packages/minife/package.py | kkauder/spack | 2 | 6624994 | # Copyright 2013-2021 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 Minife(MakefilePackage):
"""Proxy Application. MiniFE is an proxy application
for u... | # Copyright 2013-2021 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 Minife(MakefilePackage):
"""Proxy Application. MiniFE is an proxy application
for u... | en | 0.697509 | # Copyright 2013-2021 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) Proxy Application. MiniFE is an proxy application for unstructured implicit finite element codes. | 1.919336 | 2 |
personal_site/email_util.py | gorel/personal-site | 0 | 6624995 | <gh_stars>0
import flask_mail
from personal_site import mail
def send_email(subject, sender, recipients, text_body, html_body, attachments=None):
msg = flask_mail.Message(subject, sender=sender, recipients=recipients)
msg.body = text_body
msg.html = html_body
if attachments:
for attachment in... | import flask_mail
from personal_site import mail
def send_email(subject, sender, recipients, text_body, html_body, attachments=None):
msg = flask_mail.Message(subject, sender=sender, recipients=recipients)
msg.body = text_body
msg.html = html_body
if attachments:
for attachment in attachments... | none | 1 | 2.703679 | 3 | |
billing/tests/test_lifecycle_webhook.py | hkhanna/django-stripe-billing | 1 | 6624996 | """Stripe lifecycle webhook functionality. Webhooks where the user has taken
some action in Checkout or Portal are found elsewhere."""
from datetime import timedelta
from unittest.mock import Mock
from freezegun import freeze_time
import pytest
from django.utils import timezone
from django.urls import reverse
from .... | """Stripe lifecycle webhook functionality. Webhooks where the user has taken
some action in Checkout or Portal are found elsewhere."""
from datetime import timedelta
from unittest.mock import Mock
from freezegun import freeze_time
import pytest
from django.utils import timezone
from django.urls import reverse
from .... | en | 0.897083 | Stripe lifecycle webhook functionality. Webhooks where the user has taken some action in Checkout or Portal are found elsewhere. Customer that is coming up for renewal # Gut check Return a function that generates a Stripe Event payload with defaults of an active paid subscription. # For assertion convenience, we pass b... | 2.353793 | 2 |
microdrop/gui/channel_sweep.py | cfobel/microdrop | 17 | 6624997 | from flatland import Form, Float
from flatland.validation import ValueAtLeast
from pygtkhelpers.ui.form_view_dialog import create_form_view
from pygtkhelpers.ui.views.select import ListSelect
import gtk
import pandas as pd
import pygtkhelpers.ui.extra_widgets # Include widget for `Float` form fields
def get_channel_... | from flatland import Form, Float
from flatland.validation import ValueAtLeast
from pygtkhelpers.ui.form_view_dialog import create_form_view
from pygtkhelpers.ui.views.select import ListSelect
import gtk
import pandas as pd
import pygtkhelpers.ui.extra_widgets # Include widget for `Float` form fields
def get_channel_... | en | 0.741343 | # Include widget for `Float` form fields Show dialog to select parameters for a sweep across a selected set of channels. Parameters ---------- voltage : int Default actuation voltage. frequency : int Default actuation frequency. channels : pandas.Series Default channels ... | 2.375365 | 2 |
egs/csj/asr1/local/csj_rm_tag.py | texpomru13/espnet | 5,053 | 6624998 | <reponame>texpomru13/espnet
#!/usr/bin/env python3
# Copyright 2017 Johns Hopkins University (<NAME>)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import codecs
from io import open
import sys
PY2 = sys.version_info[0] == 2
sys.stdin = codecs.getreader("utf-8")(sys.stdin if PY2 else s... | #!/usr/bin/env python3
# Copyright 2017 Johns Hopkins University (<NAME>)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
import argparse
import codecs
from io import open
import sys
PY2 = sys.version_info[0] == 2
sys.stdin = codecs.getreader("utf-8")(sys.stdin if PY2 else sys.stdin.buffer)
sys.stdout ... | en | 0.286349 | #!/usr/bin/env python3 # Copyright 2017 Johns Hopkins University (<NAME>) # Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0) | 2.977155 | 3 |
WebNavigation.py | Josicamats/rpachallenge | 0 | 6624999 | <filename>WebNavigation.py
import logging
from RPA.Browser.Selenium import Selenium
from RPA.Tables import Tables
from RPA.FileSystem import FileSystem
browser = Selenium()
tb = Tables()
fs = FileSystem()
class WebNavigation:
def __init__(self) -> None:
self.logger = logging.getLogger(__name__)
#set dow... | <filename>WebNavigation.py
import logging
from RPA.Browser.Selenium import Selenium
from RPA.Tables import Tables
from RPA.FileSystem import FileSystem
browser = Selenium()
tb = Tables()
fs = FileSystem()
class WebNavigation:
def __init__(self) -> None:
self.logger = logging.getLogger(__name__)
#set dow... | en | 0.305832 | #set download directory # Open specified website #self.browser.wait_until_page_contains_element() # Click specified button #browser.set_browser_implicit_wait(30) # Close browsers: # Get Agencies Data: #dt_agencies = tb.create_table(agencies) # Get Amounts Data: #dt_amounts = tb.create_table(amounts) #Scraping data from... | 2.765227 | 3 |
protein_lm/generate_data.py | shaun95/google-research | 1 | 6625000 | <gh_stars>1-10
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | en | 0.836533 | # coding=utf-8 # Copyright 2022 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab... | 2.468896 | 2 |
pipelines/pipelines.py | philippschmalen/ESG-topics-Google-count | 0 | 6625001 | # general
import yaml
from datetime import timedelta, datetime
import os
import pandas as pd
# prefect
from prefect import task, Flow, Parameter
from prefect.schedules import IntervalSchedule
# custom
from google_results_count import extract, load
from analysis import load_raw_data, transform, plot
# -- for logging
... | # general
import yaml
from datetime import timedelta, datetime
import os
import pandas as pd
# prefect
from prefect import task, Flow, Parameter
from prefect.schedules import IntervalSchedule
# custom
from google_results_count import extract, load
from analysis import load_raw_data, transform, plot
# -- for logging
... | en | 0.228405 | # general # prefect # custom # -- for logging # ------------------------------------------------- # Extract raw data # ------------------------------------------------- # ------------------------------------------------- # Tranform data for analysis # ------------------------------------------------- # subset df for la... | 2.357933 | 2 |
pyscf/nao/test/test_0064_gw_h_chain.py | robert-anderson/pyscf | 2 | 6625002 | from __future__ import print_function, division
import unittest, numpy as np
from pyscf import gto, scf
from pyscf.nao import gw
class KnowValues(unittest.TestCase):
def test_gw_h2_ae_spin_rf0_speed(self):
""" This is GW """
mol = gto.M( verbose = 1,
atom = '''H 0 0 0; H 0 0 0.5; H 0 0 1.0; H 0 0 1.... | from __future__ import print_function, division
import unittest, numpy as np
from pyscf import gto, scf
from pyscf.nao import gw
class KnowValues(unittest.TestCase):
def test_gw_h2_ae_spin_rf0_speed(self):
""" This is GW """
mol = gto.M( verbose = 1,
atom = '''H 0 0 0; H 0 0 0.5; H 0 0 1.0; H 0 0 1.... | en | 0.404121 | This is GW H 0 0 0; H 0 0 0.5; H 0 0 1.0; H 0 0 1.5; H 0 0 2.0; H 0 0 2.5; H 0 0 3.0; H 0 0 3.5; #mol = gto.M( verbose = 0, atom = '''H 0.0 0.0 -0.3707; H 0.0 0.0 0.3707''', basis = 'cc-pvdz',) #print(__name__, 'etot', etot) #print('gto_mf.mo_energy:', gto_mf.mo_energy) | 2.096999 | 2 |
api/tacticalrmm/scripts/tests.py | HighTech-Grace-Solutions/tacticalrmm | 0 | 6625003 | from email.policy import default
import json
import os
from pathlib import Path
from django.conf import settings
from django.core.files.uploadedfile import SimpleUploadedFile
from model_bakery import baker
from tacticalrmm.test import TacticalTestCase
from .models import Script
from .serializers import ScriptSeriali... | from email.policy import default
import json
import os
from pathlib import Path
from django.conf import settings
from django.core.files.uploadedfile import SimpleUploadedFile
from model_bakery import baker
from tacticalrmm.test import TacticalTestCase
from .models import Script
from .serializers import ScriptSeriali... | en | 0.849785 | # type: ignore # test without file upload # test with file upload # file with 'Test' as content # simulate javascript's JSON.stringify() for formData # test with file upload # test a call where script doesn't exist # make a userdefined script # test edit a userdefined script # test edit a builtin script # test marking ... | 2.085523 | 2 |
pypesto/sample/auto_correlation.py | m-philipps/pyPESTO | 0 | 6625004 | <gh_stars>0
import numpy as np
def autocorrelation_sokal(chain: np.ndarray) -> np.ndarray:
"""
Estimate the integrated autocorrelation time of a MCMC chain.
Uses Sokal's adaptive truncated periodogram estimator.
- <NAME>., <NAME>., <NAME>. et al. DRAM: Efficient
adaptive MCMC. Stat Comput 16, 33... | import numpy as np
def autocorrelation_sokal(chain: np.ndarray) -> np.ndarray:
"""
Estimate the integrated autocorrelation time of a MCMC chain.
Uses Sokal's adaptive truncated periodogram estimator.
- <NAME>., <NAME>., <NAME>. et al. DRAM: Efficient
adaptive MCMC. Stat Comput 16, 339–354 (2006)... | en | 0.54947 | Estimate the integrated autocorrelation time of a MCMC chain. Uses Sokal's adaptive truncated periodogram estimator. - <NAME>., <NAME>., <NAME>. et al. DRAM: Efficient adaptive MCMC. Stat Comput 16, 339–354 (2006). https://doi.org/10.1007/s11222-006-9438-0 - <NAME>. (1997) Monte Carlo Methods in ... | 2.871833 | 3 |
advanced_functionality/fairseq_translation/fairseq/predictor.py | jpmarques19/tensorflwo-test | 5 | 6625005 | <filename>advanced_functionality/fairseq_translation/fairseq/predictor.py
from sagemaker_translate import model_fn, input_fn, output_fn, predict_fn
import flask
import os
prefix = '/opt/ml/'
model_path = os.path.join(prefix, 'model')
print("in predictor.py")
# A singleton for holding the model. This simply loads t... | <filename>advanced_functionality/fairseq_translation/fairseq/predictor.py
from sagemaker_translate import model_fn, input_fn, output_fn, predict_fn
import flask
import os
prefix = '/opt/ml/'
model_path = os.path.join(prefix, 'model')
print("in predictor.py")
# A singleton for holding the model. This simply loads t... | en | 0.890845 | # A singleton for holding the model. This simply loads the model and holds it. # It has a predict function that does a prediction based on the model and the input data. # Where we keep the model when it's loaded Get the model object for this instance, loading it if it's not already loaded. For the input, do the predict... | 2.56404 | 3 |
src/practice/20_framework/rl/policies/random_policy.py | djjh/reinforcement-learning-labs | 1 | 6625006 | <gh_stars>1-10
from rl.core import Policy
class RandomPolicy(Policy):
def __init__(self, environment):
self.environment = environment
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
def get_action(self, observation):
return self.e... | from rl.core import Policy
class RandomPolicy(Policy):
def __init__(self, environment):
self.environment = environment
def __enter__(self):
return self
def __exit__(self, exc_type, exc_val, exc_tb):
pass
def get_action(self, observation):
return self.environment.acti... | none | 1 | 2.248434 | 2 | |
pyodec/files/campsci_cs135_ep.py | pyodec/pyodec | 0 | 6625007 | from pyodec.core import FileDecoder, VariableList
from pyodec.messages.campscics135 import decoder as msgdecode
import numpy as np
import os
import time
import gzip
import traceback
"""
Campbell Scienfitic CS-135 with message 006 and epoch timestamps
"""
class Epcs135D(FileDecoder):
init_vars = VariableList()
... | from pyodec.core import FileDecoder, VariableList
from pyodec.messages.campscics135 import decoder as msgdecode
import numpy as np
import os
import time
import gzip
import traceback
"""
Campbell Scienfitic CS-135 with message 006 and epoch timestamps
"""
class Epcs135D(FileDecoder):
init_vars = VariableList()
... | en | 0.84361 | Campbell Scienfitic CS-135 with message 006 and epoch timestamps Read a chunk of data from the file, the chunk being spliced from read_chunks. # this is an end-spliced message, so we will get the timestamp # don't add extra newlines after the time string if you want to be happy # there was something ugly in this data..... | 2.164462 | 2 |
TkiWrapper/logger.py | Jakub21/Tki-Wrapper | 0 | 6625008 | <filename>TkiWrapper/logger.py
from TkiWrapper.Settings import Settings
from Namespace.Namespace import Namespace
from datetime import datetime
class LogIssuer:
def setIssuerData(self):
self.__logIssuerData__ = Namespace(scope = 'tki',
name = self.__class__.__name__, id = hex(id(self))[2:].upper())
ret... | <filename>TkiWrapper/logger.py
from TkiWrapper.Settings import Settings
from Namespace.Namespace import Namespace
from datetime import datetime
class LogIssuer:
def setIssuerData(self):
self.__logIssuerData__ = Namespace(scope = 'tki',
name = self.__class__.__name__, id = hex(id(self))[2:].upper())
ret... | none | 1 | 2.420353 | 2 | |
egp/math.py | egpbos/egp | 0 | 6625009 | def skew(a):
m1 = a.mean()
m2 = a.std()
m3 = 0.0
for i in range(len(a)):
m3 += (a[i]-m1)**3.0
return m3/m2**3/len(a)
def kurtosis(a):
m1 = a.mean()
m2 = a.std()
m4 = 0.0
for i in range(len(a)):
m4 += (a[i]-m1)**4.0
return m4/m2**4/len(a) - 3.0
| def skew(a):
m1 = a.mean()
m2 = a.std()
m3 = 0.0
for i in range(len(a)):
m3 += (a[i]-m1)**3.0
return m3/m2**3/len(a)
def kurtosis(a):
m1 = a.mean()
m2 = a.std()
m4 = 0.0
for i in range(len(a)):
m4 += (a[i]-m1)**4.0
return m4/m2**4/len(a) - 3.0
| none | 1 | 3.440157 | 3 | |
mgeconvert/frontend/tm_to_ir/qat_pattern.py | Zhiy-Zhang/mgeconvert | 42 | 6625010 | <filename>mgeconvert/frontend/tm_to_ir/qat_pattern.py
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# ... | <filename>mgeconvert/frontend/tm_to_ir/qat_pattern.py
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# ... | en | 0.827977 | # MegEngine is Licensed under the Apache License, Version 2.0 (the "License") # # Copyright (c) 2014-2020 Megvii Inc. All rights reserved. # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY ... | 1.831291 | 2 |
optvaeutils/__init__.py | rahulk90/vae_sparse | 11 | 6625011 | __all__=['viz','parse_args_vae','optimizer']
| __all__=['viz','parse_args_vae','optimizer']
| none | 1 | 1.151507 | 1 | |
model_trainer.py | VanillaBrooks/landing_coordination | 0 | 6625012 | <gh_stars>0
from flight_path_det import PlanePath
import torch
import pprint, time, pymysql, os
class NeuralNetwork(torch.nn.Module):
def __init__(self, D_in, Hidden_1, Hidden_2, Hidden_3, D_out):
super(NeuralNetwork, self).__init__()
self.LI = torch.nn.Linear(D_in, Hidden_1)
se... | from flight_path_det import PlanePath
import torch
import pprint, time, pymysql, os
class NeuralNetwork(torch.nn.Module):
def __init__(self, D_in, Hidden_1, Hidden_2, Hidden_3, D_out):
super(NeuralNetwork, self).__init__()
self.LI = torch.nn.Linear(D_in, Hidden_1)
self.L1 = torc... | en | 0.637213 | # print('sum is %s for %s index is %s' % (sum, row, index)) # print('sum is %s for %s index is %s' % (sum, row, index)) # training_data = training_data[:400] # expected_results = expected_results[:400] # time.sleep(363632) | 2.402696 | 2 |
day8/bst/two_nodes_sum_to.py | vlad-ed-git/leetcode_journey | 0 | 6625013 | <reponame>vlad-ed-git/leetcode_journey
#Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def findTarget(self, root: TreeNode, k: int) -> bool:
if not root:
... | #Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def findTarget(self, root: TreeNode, k: int) -> bool:
if not root:
return False
stack = []
... | en | 0.809354 | #Definition for a binary tree node. # visited | 3.78582 | 4 |
survey/tests/views/test_question_set.py | ericazhou7/uSurvey | 5 | 6625014 | <filename>survey/tests/views/test_question_set.py
from django.contrib.auth.models import User
from django.test import Client
from survey.forms.question_module_form import QuestionModuleForm
from model_mommy import mommy
from survey.forms import *
from survey.models import *
from survey.models.batch import *
from survey... | <filename>survey/tests/views/test_question_set.py
from django.contrib.auth.models import User
from django.test import Client
from survey.forms.question_module_form import QuestionModuleForm
from model_mommy import mommy
from survey.forms import *
from survey.models import *
from survey.models.batch import *
from survey... | en | 0.858227 | # now try after remobing the interview | 2.020803 | 2 |
tencentcloud/tag/v20180813/errorcodes.py | PlasticMem/tencentcloud-sdk-python | 0 | 6625015 | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | zh | 0.469348 | # -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 1.297988 | 1 |
gwpopulation/conversions.py | chase-kimball/gwpopulation | 0 | 6625016 | from __future__ import division
def convert_to_beta_parameters(parameters, remove=True):
"""
Convert to parameters for standard beta distribution
"""
added_keys = list()
converted = parameters.copy()
def _convert(suffix):
alpha = 'alpha_chi{}'.format(suffix)
beta = 'beta_chi{}... | from __future__ import division
def convert_to_beta_parameters(parameters, remove=True):
"""
Convert to parameters for standard beta distribution
"""
added_keys = list()
converted = parameters.copy()
def _convert(suffix):
alpha = 'alpha_chi{}'.format(suffix)
beta = 'beta_chi{}... | en | 0.508283 | Convert to parameters for standard beta distribution Convert between parameters for beta distribution Convert between parameters for beta distribution | 2.899153 | 3 |
libpermian/plugins/kickstart_test/__init__.py | rvykydal/permian | 0 | 6625017 | <reponame>rvykydal/permian<gh_stars>0
import logging
import tempfile
import subprocess
import os
import shutil
import requests
import itertools
import stat
from libpermian.plugins import api
from libpermian.workflows.isolated import GroupedWorkflow
from libpermian.events.base import Event
from libpermian.events.struct... | import logging
import tempfile
import subprocess
import os
import shutil
import requests
import itertools
import stat
from libpermian.plugins import api
from libpermian.workflows.isolated import GroupedWorkflow
from libpermian.events.base import Event
from libpermian.events.structures.builtin import OtherStructure, Ba... | en | 0.817041 | Raised when boot.iso for an architecture is not configured. Raised when workflow is missing required information. Container for storing individual results of kickstart tests run in a batch. The results are parsed from output of kickstart tests launcher running the batch of kickstart tests. :param tests: l... | 2.222308 | 2 |
desktop/libs/notebook/src/notebook/connectors/hiveserver2_tests.py | 10088/hue | 0 | 6625018 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (... | en | 0.483736 | #!/usr/bin/env python # -*- coding: utf-8 -*- # Licensed to Cloudera, Inc. under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. Cloudera, Inc. licenses this file # to you under the Apache License, Version 2.0 (... | 1.41777 | 1 |
delfin/drivers/netapp/dataontap/constants.py | guankc/delfin | 0 | 6625019 | <reponame>guankc/delfin
# Copyright 2021 The SODA 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... | # Copyright 2021 The SODA 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 require... | en | 0.853516 | # Copyright 2021 The SODA 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 require... | 1.413548 | 1 |
jrpc/server/__init__.py | cympfh/jrpc | 0 | 6625020 | import asyncio
from typing import Any, Dict, List, Optional, Union
from aiohttp import web
class Application:
"""Web Application Wrapper for JSON-RPC"""
def __init__(self):
"""Init Empty Server"""
self.app = web.Application()
self.methods = {}
def method(self, func):
"""... | import asyncio
from typing import Any, Dict, List, Optional, Union
from aiohttp import web
class Application:
"""Web Application Wrapper for JSON-RPC"""
def __init__(self):
"""Init Empty Server"""
self.app = web.Application()
self.methods = {}
def method(self, func):
"""... | en | 0.487022 | Web Application Wrapper for JSON-RPC Init Empty Server Add Method for RPC Call a method with params Single request/notify Parameters ---------- data Single JSON Object for Request/Notify Returns ------- Result JSON Object for Request, or None for Not... | 2.761188 | 3 |
day04.py | tommyip/aoc2021 | 0 | 6625021 | import sys
import re
from typing import List
lines = sys.stdin.read().split('\n\n')
numbers = [int(x) for x in lines[0].split(',')]
grids = [[[int(x) for x in re.split('\s+', line.strip())]
for line in grid.strip().split('\n')] for grid in lines[1:]]
def isGridWinning(grid: List[List[int]]):
# First c... | import sys
import re
from typing import List
lines = sys.stdin.read().split('\n\n')
numbers = [int(x) for x in lines[0].split(',')]
grids = [[[int(x) for x in re.split('\s+', line.strip())]
for line in grid.strip().split('\n')] for grid in lines[1:]]
def isGridWinning(grid: List[List[int]]):
# First c... | en | 0.274653 | # First check rows # Then check cols | 3.477301 | 3 |
from_tfrecords.py | Luonic/tf-cnn-lstm-ocr-captcha | 10 | 6625022 | <reponame>Luonic/tf-cnn-lstm-ocr-captcha
import tensorflow as tf
import ImageAugmenter
import cv2
from tqdm import tqdm
import glob
import os
import numpy as np
from random import shuffle
reconstructed_images = []
record_iterator = tf.python_io.tf_record_iterator(path=os.path.abspath(os.path.join("data", "train", "t... | import tensorflow as tf
import ImageAugmenter
import cv2
from tqdm import tqdm
import glob
import os
import numpy as np
from random import shuffle
reconstructed_images = []
record_iterator = tf.python_io.tf_record_iterator(path=os.path.abspath(os.path.join("data", "train", "tfrecords", "0.tfrecords")))
for string_r... | none | 1 | 2.482672 | 2 | |
app/views/history.py | chick0/dashboard | 0 | 6625023 | <reponame>chick0/dashboard
from flask import Blueprint
from flask import session
from flask import redirect
from flask import url_for
from flask import render_template
from app import db
from app.models import History
from app.check import is_login
bp = Blueprint(
name="history",
import_name="history",
... | from flask import Blueprint
from flask import session
from flask import redirect
from flask import url_for
from flask import render_template
from app import db
from app.models import History
from app.check import is_login
bp = Blueprint(
name="history",
import_name="history",
url_prefix="/history"
)
@b... | ko | 1.00007 | # 로그인 상태가 아니라면 로그인 화면으로 이동하기 # 로그인중인 유저와 동일한 이메일로 시도한 기록을 데이터베이스에서 검색하기 # 로그인 상태가 아니라면 로그인 화면으로 이동하기 # 기록 아이디와 로그인중인 유저와 동일한 이메일로 시도한 기록을 데이터베이스에서 검색하기 # 검색결과가 없다면 목록으로 이동하기 # 로그인 상태가 아니라면 로그인 화면으로 이동하기 # 로그인중인 유저와 동일한 이메일로 시도한 기록을 데이터베이스에서 검색하고 삭제하기 # 변경사항 데이터베이스에 저장하기 | 2.345021 | 2 |
tests/server_sdk_consistency_test.py | peter-bertuglia/python-sdk | 0 | 6625024 | <reponame>peter-bertuglia/python-sdk
import unittest
import requests
from statsig import StatsigUser, StatsigOptions, StatsigServer
import os
import io
import sys
import time
if "test_api_key" in os.environ:
SDK_KEY = os.environ["test_api_key"]
else:
try:
f = io.open("../../ops/secrets/prod_keys/statsi... | import unittest
import requests
from statsig import StatsigUser, StatsigOptions, StatsigServer
import os
import io
import sys
import time
if "test_api_key" in os.environ:
SDK_KEY = os.environ["test_api_key"]
else:
try:
f = io.open("../../ops/secrets/prod_keys/statsig-rulesets-eval-consistency-test-secr... | none | 1 | 2.315009 | 2 | |
townsquare/players.py | ryanvolz/botc_extensions | 0 | 6625025 | # ----------------------------------------------------------------------------
# Copyright (c) 2020 <NAME>
# All rights reserved.
#
# Distributed under the terms of the BSD 3-clause license.
#
# The full license is in the LICENSE file, distributed with this software.
#
# SPDX-License-Identifier: BSD-3-Clause
# --------... | # ----------------------------------------------------------------------------
# Copyright (c) 2020 <NAME>
# All rights reserved.
#
# Distributed under the terms of the BSD 3-clause license.
#
# The full license is in the LICENSE file, distributed with this software.
#
# SPDX-License-Identifier: BSD-3-Clause
# --------... | en | 0.893316 | # ---------------------------------------------------------------------------- # Copyright (c) 2020 <NAME> # All rights reserved. # # Distributed under the terms of the BSD 3-clause license. # # The full license is in the LICENSE file, distributed with this software. # # SPDX-License-Identifier: BSD-3-Clause # --------... | 2.617 | 3 |
experiments/training/v6/minimal_defense/dqn/run.py | FredericoNesti/gym-idsgame | 15 | 6625026 | <filename>experiments/training/v6/minimal_defense/dqn/run.py
import os
import time
import sys
from gym_idsgame.config.runner_mode import RunnerMode
from gym_idsgame.agents.training_agents.q_learning.q_agent_config import QAgentConfig
from gym_idsgame.agents.dao.agent_type import AgentType
from gym_idsgame.config.client... | <filename>experiments/training/v6/minimal_defense/dqn/run.py
import os
import time
import sys
from gym_idsgame.config.runner_mode import RunnerMode
from gym_idsgame.agents.training_agents.q_learning.q_agent_config import QAgentConfig
from gym_idsgame.agents.dao.agent_type import AgentType
from gym_idsgame.config.client... | en | 0.708275 | :return: the script path :return: the default output dir :return: the default path to configuration file :return: Default configuration for the experiment Writes the default configuration to a json file :param path: the path to write the configuration to :return: None Plot results from csv files :param co... | 1.87857 | 2 |
linked_list/doubly/crud.py | maransowthri/data-structures-algorithms | 0 | 6625027 | class Node:
def __init__(self, val, next=None, prev=None):
self.val = val
self.next = next
self.prev = prev
class LinkedList:
def __init__(self):
self.head = None
self.tail = None
def __iter__(self):
cur = self.head
while cur:
yield cur... | class Node:
def __init__(self, val, next=None, prev=None):
self.val = val
self.next = next
self.prev = prev
class LinkedList:
def __init__(self):
self.head = None
self.tail = None
def __iter__(self):
cur = self.head
while cur:
yield cur... | en | 0.25607 | Append Insertion Searching # print('Index of 4 is', linked_list.index(4)) # print('Index of 8 is', linked_list.index(8)) Removal Clear Traversal Reversal Head & Tail Values | 3.972592 | 4 |
models/L41.py | Totoketchup/Adaptive-MultiSpeaker-Separation | 43 | 6625028 | <reponame>Totoketchup/Adaptive-MultiSpeaker-Separation
# -*- coding: utf-8 -*-
import tensorflow as tf
from utils.ops import BLSTM, Conv1D, Reshape, Normalize, f_props, scope, variable_summaries
from models.network import Separator
class L41Model(Separator):
def __init__(self, graph=None, **kwargs):
kwargs['mask_a... | # -*- coding: utf-8 -*-
import tensorflow as tf
from utils.ops import BLSTM, Conv1D, Reshape, Normalize, f_props, scope, variable_summaries
from models.network import Separator
class L41Model(Separator):
def __init__(self, graph=None, **kwargs):
kwargs['mask_a'] = 1.0
kwargs['mask_b'] = -1.0
super(L41Model, s... | en | 0.807033 | # -*- coding: utf-8 -*- # Define the speaker vectors to use during training # L41 network Construct the cost function op for the negative sampling cost # Get the embedded T-F vectors from the network # [B, T, F, E] # Normalize the speaker vectors and collect the speaker vectors # corresponding to the speakers in batch ... | 2.553409 | 3 |
python/heterocl/mlir/__init__.py | chhzh123/heterocl | 0 | 6625029 | import hcl_mlir
from hcl_mlir.ir import *
print("Done HCL-MLIR initialization") | import hcl_mlir
from hcl_mlir.ir import *
print("Done HCL-MLIR initialization") | none | 1 | 1.210288 | 1 | |
python/test_selection_sort.py | PabloAceG/sorting-algorithms | 0 | 6625030 | <reponame>PabloAceG/sorting-algorithms
import unittest
from selection_sort import sort
from strategy import Order, BadOrderError
__author__ = "<NAME>"
__copyright__ = "Copyright 2020"
__credits__ = [ "<NAME>" ]
__license__ = "Apache License 2.0"
__version__ = "1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
cla... | import unittest
from selection_sort import sort
from strategy import Order, BadOrderError
__author__ = "<NAME>"
__copyright__ = "Copyright 2020"
__credits__ = [ "<NAME>" ]
__license__ = "Apache License 2.0"
__version__ = "1.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
class SelectionSortTest(unittest.TestCase)... | en | 0.809464 | # Order integers # The desired order of the array # See if it does not desorders an ordered array of integers and that # it is able to order an array of integers # Order decimals # The desired order of the array # See if it does not desorders an ordered array of floats and that # it is able to order an array of floats ... | 3.387326 | 3 |
mosqito/functions/oct3filter/square_and_smooth.py | JosemaAlvarez/MoSQITo | 0 | 6625031 | # -*- coding: utf-8 -*-
"""
@date Created on Fri May 22 2020
@author martin_g for Eomys
"""
# Standard library imports
import numpy as np
from scipy import signal
def square_and_smooth(sig, center_freq, fs):
"""3rd order low-pass filtering (See ISO 532-1 section 6.3)
Parameters
----------
sig : num... | # -*- coding: utf-8 -*-
"""
@date Created on Fri May 22 2020
@author martin_g for Eomys
"""
# Standard library imports
import numpy as np
from scipy import signal
def square_and_smooth(sig, center_freq, fs):
"""3rd order low-pass filtering (See ISO 532-1 section 6.3)
Parameters
----------
sig : num... | en | 0.67208 | # -*- coding: utf-8 -*- @date Created on Fri May 22 2020 @author martin_g for Eomys # Standard library imports 3rd order low-pass filtering (See ISO 532-1 section 6.3) Parameters ---------- sig : numpy.ndarray time signal sampled at 48 kHz [pa] coeff : numpy.ndarray filter coeeficients ... | 2.771978 | 3 |
pyqtgraph/opengl/items/GLVolumeItem.py | robertsj/poropy | 1 | 6625032 | <gh_stars>1-10
from OpenGL.GL import *
from .. GLGraphicsItem import GLGraphicsItem
from pyqtgraph.Qt import QtGui
import numpy as np
__all__ = ['GLVolumeItem']
class GLVolumeItem(GLGraphicsItem):
"""
**Bases:** :class:`GLGraphicsItem <pyqtgraph.opengl.GLGraphicsItem>`
Displays volumetric data.
... | from OpenGL.GL import *
from .. GLGraphicsItem import GLGraphicsItem
from pyqtgraph.Qt import QtGui
import numpy as np
__all__ = ['GLVolumeItem']
class GLVolumeItem(GLGraphicsItem):
"""
**Bases:** :class:`GLGraphicsItem <pyqtgraph.opengl.GLGraphicsItem>`
Displays volumetric data.
"""
... | en | 0.388862 | **Bases:** :class:`GLGraphicsItem <pyqtgraph.opengl.GLGraphicsItem>` Displays volumetric data. ============== ======================================================================================= **Arguments:** data Volume data to be rendered. *Must* be 4D numpy array (x, y, z, RG... | 2.845592 | 3 |
pyefun/encoding/ebinary/binary.py | nuo010/pyefun | 94 | 6625033 | <reponame>nuo010/pyefun
import binascii
def binary编码(data):
if (type(data) == str):
data_bytes = data.encode("utf-8")
else:
data_bytes = data
return binascii.b2a_hex(data_bytes)
def binary解码(data):
return binascii.a2b_hex(data)
| import binascii
def binary编码(data):
if (type(data) == str):
data_bytes = data.encode("utf-8")
else:
data_bytes = data
return binascii.b2a_hex(data_bytes)
def binary解码(data):
return binascii.a2b_hex(data) | none | 1 | 3.296756 | 3 | |
python/day06.py | VenomPaco/advent-of-code-2020 | 0 | 6625034 | <filename>python/day06.py
import os
# Complexity: O(n * m), n is number of people and m number of questions
def anyone(lines):
groups = []
group = set()
for line in lines:
if line:
for letter in line:
group.add(letter)
else:
groups.append(group)
... | <filename>python/day06.py
import os
# Complexity: O(n * m), n is number of people and m number of questions
def anyone(lines):
groups = []
group = set()
for line in lines:
if line:
for letter in line:
group.add(letter)
else:
groups.append(group)
... | en | 0.905692 | # Complexity: O(n * m), n is number of people and m number of questions # Complexity: O(n * m), n is number of people and m number of questions | 3.406482 | 3 |
app.py | pranjalAI/Glass-Detection | 1 | 6625035 | <reponame>pranjalAI/Glass-Detection
from __future__ import division, print_function
# coding=utf-8
import sys
import os
import glob
import re, glob, os,cv2
import numpy as np
import pandas as pd
import glass_detection
from shutil import copyfile
import shutil
from distutils.dir_util import copy_tree
# Ker... | from __future__ import division, print_function
# coding=utf-8
import sys
import os
import glob
import re, glob, os,cv2
import numpy as np
import pandas as pd
import glass_detection
from shutil import copyfile
import shutil
from distutils.dir_util import copy_tree
# Keras
#from keras.applications.imagene... | en | 0.58156 | # coding=utf-8 # Keras #from keras.applications.imagenet_utils import preprocess_input, decode_predictions #from keras.models import load_model #from keras.preprocessing import image # Flask utils # Define a flask app # Model saved with Keras model.save() #MODEL_PATH = 'models/model_resnet.h5' # Load your trained model... | 2.50786 | 3 |
setup.py | philipov/powertools | 0 | 6625036 | #!python
#-- setup.py -- powertools
from setuptools import setup
from powertools.setup.arguments import kwargs
import os
with open( os.path.join( os.path.dirname( __file__ ), 'DESCRIPTION.rst' ) ) as r_file :
long_description = r_file.read()
setup( **kwargs, long_description=long_description )
#----------------... | #!python
#-- setup.py -- powertools
from setuptools import setup
from powertools.setup.arguments import kwargs
import os
with open( os.path.join( os.path.dirname( __file__ ), 'DESCRIPTION.rst' ) ) as r_file :
long_description = r_file.read()
setup( **kwargs, long_description=long_description )
#----------------... | pt | 0.103955 | #!python #-- setup.py -- powertools #----------------------------------------------------------------------------------------------# | 1.511889 | 2 |
chaospy/descriptives/expected.py | Novermars/chaospy | 0 | 6625037 | """Expected value."""
import numpy
import numpoly
def E(poly, dist=None, **kws):
"""
The expected value of a distribution or polynomial.
1st order statistics of a probability distribution or polynomial on a given
probability space.
Args:
poly (numpoly.ndpoly, Distribution):
I... | """Expected value."""
import numpy
import numpoly
def E(poly, dist=None, **kws):
"""
The expected value of a distribution or polynomial.
1st order statistics of a probability distribution or polynomial on a given
probability space.
Args:
poly (numpoly.ndpoly, Distribution):
I... | en | 0.708794 | Expected value. The expected value of a distribution or polynomial. 1st order statistics of a probability distribution or polynomial on a given probability space. Args: poly (numpoly.ndpoly, Distribution): Input to take expected value on. dist (Distribution): Define... | 3.906318 | 4 |
invenio_records_marc21/records/__init__.py | bengaal/invenio-records-marc21 | 0 | 6625038 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Graz University of Technology.
#
# Invenio-Records-Marc21 is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Marc21 Records module."""
from .api import Marc21Draft, Marc21Record
from .mo... | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Graz University of Technology.
#
# Invenio-Records-Marc21 is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Marc21 Records module."""
from .api import Marc21Draft, Marc21Record
from .mo... | en | 0.722976 | # -*- coding: utf-8 -*- # # Copyright (C) 2021 Graz University of Technology. # # Invenio-Records-Marc21 is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. Marc21 Records module. | 1.262366 | 1 |
aetros/predict.py | aetros/aetros-cli | 120 | 6625039 | <filename>aetros/predict.py<gh_stars>100-1000
from __future__ import print_function
from __future__ import absolute_import
import simplejson
import numpy as np
import os
from aetros.utils import unpack_full_job_id
from .backend import JobBackend, invalid_json_values
def predict(logger, job_id, file_paths, weights_pa... | <filename>aetros/predict.py<gh_stars>100-1000
from __future__ import print_function
from __future__ import absolute_import
import simplejson
import numpy as np
import os
from aetros.utils import unpack_full_job_id
from .backend import JobBackend, invalid_json_values
def predict(logger, job_id, file_paths, weights_pa... | none | 1 | 2.179523 | 2 | |
lib/streamlit/ReportSession.py | brandonJY/streamlit | 1 | 6625040 | # -*- coding: utf-8 -*-
# Copyright 2018-2020 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | # -*- coding: utf-8 -*-
# Copyright 2018-2020 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | en | 0.872839 | # -*- coding: utf-8 -*- # Copyright 2018-2020 Streamlit Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl... | 1.585141 | 2 |
hassio-google-drive-backup/backup/debugworker.py | spo0n125/teste | 0 | 6625041 | <gh_stars>0
import asyncio
import json
import socket
import subprocess
from datetime import datetime, timedelta
from aiohttp import ClientSession
from injector import inject, singleton
from backup.config import Config, Setting, VERSION, _DEFAULTS, PRIVATE
from backup.exceptions import KnownError
from backup.util impo... | import asyncio
import json
import socket
import subprocess
from datetime import datetime, timedelta
from aiohttp import ClientSession
from injector import inject, singleton
from backup.config import Config, Setting, VERSION, _DEFAULTS, PRIVATE
from backup.exceptions import KnownError
from backup.util import GlobalInf... | en | 0.86828 | # just eat the error # Resolve google's addresses # fping each server | 1.98495 | 2 |
pretsa_FLDM.py | roeselfa/FeatureLearningBasedDistanceMetrics | 1 | 6625042 | <reponame>roeselfa/FeatureLearningBasedDistanceMetrics<gh_stars>1-10
from anytree import AnyNode, PreOrderIter
from featureLearningBasedDistanceMetrics import getDistance
import sys
from scipy.stats import wasserstein_distance
from scipy.stats import normaltest
import pandas as pd
import numpy as np
class PretsaFLDM:... | from anytree import AnyNode, PreOrderIter
from featureLearningBasedDistanceMetrics import getDistance
import sys
from scipy.stats import wasserstein_distance
from scipy.stats import normaltest
import pandas as pd
import numpy as np
class PretsaFLDM:
def __init__(self, eventLog, model, eventDistanceMatrix):
... | en | 0.866741 | # Handle last case # Consider only data from cases still in node # No original annotation is left in the node # All annotations have the same value(most likely= 0.0) # We transform the set of sequences into a list and sort it, to discretize the behaviour of the algorithm # normaltest works only with more than 8 samples | 2.267054 | 2 |
examples/animation/unchained.py | bsipocz/matplotlib | 1 | 6625043 | """
Comparative path demonstration of frequency from a fake signal of a pulsar.
(mostly known because of the cover for Joy Division's Unknown Pleasures)
Author: <NAME>
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# Create new Figure with black background
fig = plt.fi... | """
Comparative path demonstration of frequency from a fake signal of a pulsar.
(mostly known because of the cover for Joy Division's Unknown Pleasures)
Author: <NAME>
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# Create new Figure with black background
fig = plt.fi... | en | 0.806894 | Comparative path demonstration of frequency from a fake signal of a pulsar. (mostly known because of the cover for Joy Division's Unknown Pleasures) Author: <NAME> # Create new Figure with black background # Add a subplot with no frame # Generate random data # Generate line plots # Small reduction of the X extents to ... | 2.737608 | 3 |
prints_a_multiplication_table_of_primes_numbers/tabulate_ext.py | mvj3/prints_a_multiplication_table_of_primes_numbers | 1 | 6625044 | # -*- coding: utf-8 -*-
__all__ = ["tabulate_prime"]
"""
Extend `tabulate` module with prime print format.
"""
import tabulate as tabulate_module
from tabulate import DataRow, Line, TableFormat
prime_format = TableFormat(
lineabove=None,
linebelowheader=Line("", "-", "-", ""),
linebetweenrows=None,
... | # -*- coding: utf-8 -*-
__all__ = ["tabulate_prime"]
"""
Extend `tabulate` module with prime print format.
"""
import tabulate as tabulate_module
from tabulate import DataRow, Line, TableFormat
prime_format = TableFormat(
lineabove=None,
linebelowheader=Line("", "-", "-", ""),
linebetweenrows=None,
... | en | 0.790497 | # -*- coding: utf-8 -*- Extend `tabulate` module with prime print format. This `tabulate_prime` function only support prime table requirement, just as ETL stuffs. # treat the second column as normal values. # print table as customized format. # add "+" sign to horizontal line row. # align the second horizontal line... | 3.295394 | 3 |
nodes/GCSTools.py | anqixu/sightedturtlesim | 1 | 6625045 | #!/usr/bin/env python
from math import *
M_PI = pi
EARTH_RADIUS_M = 6367500.0
DEG_TO_RAD = M_PI/180.0
RAD_TO_DEG = 180.0/M_PI
INVALID_DEGREE_VALUE = 361.0
BTC40_WIDTH = 752
BTC40_HEIGHT = 582
NAN = float('nan')
def EarthMeter2Deg(meter):
return meter / EARTH_RADIUS_M * RAD_TO_DEG
def EarthDeg2Meter(deg):
return... | #!/usr/bin/env python
from math import *
M_PI = pi
EARTH_RADIUS_M = 6367500.0
DEG_TO_RAD = M_PI/180.0
RAD_TO_DEG = 180.0/M_PI
INVALID_DEGREE_VALUE = 361.0
BTC40_WIDTH = 752
BTC40_HEIGHT = 582
NAN = float('nan')
def EarthMeter2Deg(meter):
return meter / EARTH_RADIUS_M * RAD_TO_DEG
def EarthDeg2Meter(deg):
return... | en | 0.915507 | #!/usr/bin/env python # NOTE: the following simplifications were obtained using MATLAB's symbolic math library # NOTE: the following simplifications were obtained using MATLAB's symbolic math library # the Z coordinate of the transformed line points upwards from the UAV | 2.834785 | 3 |
aiida/tools/graph/age_rules.py | louisponet/aiida-core | 0 | 6625046 | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | en | 0.865591 | # -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # ... | 2.352404 | 2 |
ImagePaste.py | lukauskas/imagepaste | 6 | 6625047 | <reponame>lukauskas/imagepaste
import sublime
import sublime_plugin
import os
import sys
import re
import datetime
from imagepaste.utils import os_appropriate_utils
def atoi(text):
return int(text) if text.isdigit() else text
def natural_keys(text):
return [ atoi(c) for c in re.split('(\d+)', text) ]
class ... | import sublime
import sublime_plugin
import os
import sys
import re
import datetime
from imagepaste.utils import os_appropriate_utils
def atoi(text):
return int(text) if text.isdigit() else text
def natural_keys(text):
return [ atoi(c) for c in re.split('(\d+)', text) ]
class ImagePasteBase(object):
def... | en | 0.794448 | # get the image save dirname returns filename without extension relative path to image directory # sanitize the name a bit full path to image directory # Fallback to normal paste # as normal Ctrl+V # fix image path for html # get the cursor | 2.557527 | 3 |
application.py | AllieDeford/radremedy | 0 | 6625048 | <gh_stars>0
#!/usr/bin/env python
from remedy.radremedy import create_app
from remedy.bootstrap import strap
from remedy.get_save_data import run
import os
application, manager = (None, None)
if os.environ.get('RAD_PRODUCTION'):
print('Running production configuration')
application, manager = create_app('rem... | #!/usr/bin/env python
from remedy.radremedy import create_app
from remedy.bootstrap import strap
from remedy.get_save_data import run
import os
application, manager = (None, None)
if os.environ.get('RAD_PRODUCTION'):
print('Running production configuration')
application, manager = create_app('remedy.config.P... | ru | 0.26433 | #!/usr/bin/env python | 1.958965 | 2 |
utils/align_images.py | atapin/Caricature-Your-Face | 27 | 6625049 | import os
import sys
import bz2
import argparse
from keras.utils import get_file
from utils.face_alignment import image_align
from utils.landmarks_detector import LandmarksDetector
import multiprocessing
LANDMARKS_MODEL_URL = 'http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2'
def unpack_bz2(src_path):... | import os
import sys
import bz2
import argparse
from keras.utils import get_file
from utils.face_alignment import image_align
from utils.landmarks_detector import LandmarksDetector
import multiprocessing
LANDMARKS_MODEL_URL = 'http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2'
def unpack_bz2(src_path):... | en | 0.647821 | Extracts and aligns all faces from images using DLib and a function from original FFHQ dataset preparation step python align_images.py /raw_images /aligned_images | 2.702927 | 3 |
mozillians/users/api/v2.py | justinpotts/mozillians | 0 | 6625050 | <reponame>justinpotts/mozillians<gh_stars>0
from django.db.models import Q
from django.shortcuts import get_object_or_404
import django_filters
from funfactory.urlresolvers import reverse
from rest_framework import viewsets, serializers
from rest_framework.response import Response
from mozillians.common.helpers impor... | from django.db.models import Q
from django.shortcuts import get_object_or_404
import django_filters
from funfactory.urlresolvers import reverse
from rest_framework import viewsets, serializers
from rest_framework.response import Response
from mozillians.common.helpers import absolutify, markdown
from mozillians.users... | en | 0.742744 | # Serializers # Add profile URL # If we don't define a custom transform method and if the # field has a privacy setting, set the transform privacy # wrapper. # Filters Return users with email matching either primary or alternate email address # Views Returns a list of Mozillians respecting authorization levels and ... | 1.971756 | 2 |