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 |
|---|---|---|---|---|---|---|---|---|---|---|
schedules/serializers.py | sevenstar77/coin_dev | 0 | 6629251 | from rest_framework.serializers import ModelSerializer, CharField
from .models import Emailschedule, Schedulemaster
class ScheduleSerializer(ModelSerializer):
class Meta:
model = Schedulemaster
#fields = '__all__'
fields = ('name', 'email', 'is_email_receive', 'schedule_type', 'currency',... | from rest_framework.serializers import ModelSerializer, CharField
from .models import Emailschedule, Schedulemaster
class ScheduleSerializer(ModelSerializer):
class Meta:
model = Schedulemaster
#fields = '__all__'
fields = ('name', 'email', 'is_email_receive', 'schedule_type', 'currency',... | en | 0.397099 | #fields = '__all__' # def validate_mail_currency_schedule_type(self, value): # pass | 2.158508 | 2 |
luggage/run.py | moshez/luggage | 0 | 6629252 | <reponame>moshez/luggage
import os
import shutil
import sys
from ncolony import ctllib
def calcCommandline():
"""return a command-line prefix that will run me
:rettype: list of strings
"""
argv0 = sys.argv[0]
if not argv0.endswith('__main__.py'):
return [argv0]
prefix = os.path.dirnam... | import os
import shutil
import sys
from ncolony import ctllib
def calcCommandline():
"""return a command-line prefix that will run me
:rettype: list of strings
"""
argv0 = sys.argv[0]
if not argv0.endswith('__main__.py'):
return [argv0]
prefix = os.path.dirname(argv0)
path = map(o... | en | 0.588093 | return a command-line prefix that will run me :rettype: list of strings create an NColony configuration :param dirname: directory in which to create the configuration :type dirname: string :rettype: ncolony.ctllib.Places | 2.76292 | 3 |
lino/modlib/extjs/elems.py | khchine5/lino | 1 | 6629253 | <filename>lino/modlib/extjs/elems.py<gh_stars>1-10
raise Exception("20180212 moved to lino.core.elems")
| <filename>lino/modlib/extjs/elems.py<gh_stars>1-10
raise Exception("20180212 moved to lino.core.elems")
| none | 1 | 1.256195 | 1 | |
scGNNsp_space/gae/utils.py | CyanStarNight/single_cell_spatial_image | 5 | 6629254 | <gh_stars>1-10
import pickle as pkl
import networkx as nx
import numpy as np
import scipy.sparse as sp
import torch
from sklearn.metrics import roc_auc_score, average_precision_score
def sample_mask(idx, l):
"""Create mask."""
mask = np.zeros(l)
mask[idx] = 1
return np.array(mask, dtype=np.bool)
de... | import pickle as pkl
import networkx as nx
import numpy as np
import scipy.sparse as sp
import torch
from sklearn.metrics import roc_auc_score, average_precision_score
def sample_mask(idx, l):
"""Create mask."""
mask = np.zeros(l)
mask[idx] = 1
return np.array(mask, dtype=np.bool)
def load_data(dat... | en | 0.584828 | Create mask. # load the data: x, tx, allx, graph fix Pickle incompatibility of numpy arrays between Python 2 and 3 https://stackoverflow.com/questions/11305790/pickle-incompatibility-of-numpy-arrays-between-python-2-and-3 # objects.append( # pkl.load(open("data/ind.{}.{}".format(dataset, names[i]), 'rb'))) ... | 2.30485 | 2 |
cwbrowser/cw_connection.py | neurospin/rql_download | 0 | 6629255 | <filename>cwbrowser/cw_connection.py
##########################################################################
# NSAp - Copyright (C) CEA, 2013 - 2018
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_C... | <filename>cwbrowser/cw_connection.py
##########################################################################
# NSAp - Copyright (C) CEA, 2013 - 2018
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_C... | en | 0.603077 | ########################################################################## # NSAp - Copyright (C) CEA, 2013 - 2018 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html # for details. ###... | 2.671197 | 3 |
cloudroast/objectstorage/smoke/account_smoke.py | RULCSoft/cloudroast | 0 | 6629256 | """
Copyright 2013 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | """
Copyright 2013 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | en | 0.852152 | Copyright 2013 Rackspace Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distribu... | 1.710023 | 2 |
xt/algorithm/impala/default_config.py | ZZHsunsky/xingtian | 1 | 6629257 | <gh_stars>1-10
"""
Static Variable in impala
"""
GAMMA = 0.99
BATCH_SIZE = 512
| """
Static Variable in impala
"""
GAMMA = 0.99
BATCH_SIZE = 512 | en | 0.821299 | Static Variable in impala | 0.691563 | 1 |
recommenders/knn_collaborative_user.py | edervishaj/spotify-recsys-challenge | 3 | 6629258 | <reponame>edervishaj/spotify-recsys-challenge<gh_stars>1-10
import time
from recommenders.recommender import Recommender
from recommenders.similarity.similarity import *
class Knn_collabrative_user(Recommender):
def __init__(self):
super()
def compute_model(self, top_k=50, sm_type="cosine", shrink=0, ... | import time
from recommenders.recommender import Recommender
from recommenders.similarity.similarity import *
class Knn_collabrative_user(Recommender):
def __init__(self):
super()
def compute_model(self, top_k=50, sm_type="cosine", shrink=0, alpha=0, beta=0, threshold=0, verbose=False, binary=True):
... | en | 0.475626 | :param matrix: sparse matrix, urm for knn item, p3alpha, p3beta, urm.T for knn user :param top_k: int, element to take for each row after model computation problem :param sm_type: string, similarity to use (use constant in this class to specify) :param shrink: float, shrink term for the similari... | 2.484563 | 2 |
setup.py | chr6192/n-beats | 0 | 6629259 | import os
from setuptools import setup
BASE_VERSION = '1.2.0' # update regardless whether you update keras or pytorch or both.
FRAMEWORK = os.getenv('FRAMEWORK', 'keras') # keras, pytorch.
# common packages.
INSTALL_REQUIRES = [
'numpy==1.16.2',
'pandas>=0.25.3',
'matplotlib>=3.0'
]
if FRAMEWORK == 'k... | import os
from setuptools import setup
BASE_VERSION = '1.2.0' # update regardless whether you update keras or pytorch or both.
FRAMEWORK = os.getenv('FRAMEWORK', 'keras') # keras, pytorch.
# common packages.
INSTALL_REQUIRES = [
'numpy==1.16.2',
'pandas>=0.25.3',
'matplotlib>=3.0'
]
if FRAMEWORK == 'k... | en | 0.319613 | # update regardless whether you update keras or pytorch or both. # keras, pytorch. # common packages. | 1.638289 | 2 |
config.py | aws-the-right-way/stock-of-the-day | 0 | 6629260 | import os
class Config(object):
STOCK_SYMBOL_SERVICE_HOST=os.environ.get('STOCK_SYMBOL_SERVICE_SERVICE_SERVICE_HOST')
STOCK_SYMBOL_SERVICE_PORT=os.environ.get('STOCK_SYMBOL_SERVICE_SERVICE_SERVICE_PORT')
LOGO_RESIZER_SERVICE_HOST = os.environ.get('LOGO_RESIZER_SERVICE_SERVICE_SERVICE_HOST')
LOGO_RESI... | import os
class Config(object):
STOCK_SYMBOL_SERVICE_HOST=os.environ.get('STOCK_SYMBOL_SERVICE_SERVICE_SERVICE_HOST')
STOCK_SYMBOL_SERVICE_PORT=os.environ.get('STOCK_SYMBOL_SERVICE_SERVICE_SERVICE_PORT')
LOGO_RESIZER_SERVICE_HOST = os.environ.get('LOGO_RESIZER_SERVICE_SERVICE_SERVICE_HOST')
LOGO_RESI... | none | 1 | 2.041439 | 2 | |
examples/plot_observed_catalogs/plot_observed_multiple.py | hematthi/SysSim_Plotting | 0 | 6629261 | # To import required modules:
import numpy as np
import time
import os
import sys
import matplotlib
import matplotlib.cm as cm #for color maps
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec #for specifying plot attributes
from matplotlib import ticker #for setting contour plots to log scale
im... | # To import required modules:
import numpy as np
import time
import os
import sys
import matplotlib
import matplotlib.cm as cm #for color maps
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec #for specifying plot attributes
from matplotlib import ticker #for setting contour plots to log scale
im... | en | 0.493732 | # To import required modules: #for color maps #for specifying plot attributes #for setting contour plots to log scale #for numerical integration #for factorial function #error function, used in computing CDF of normal distribution #for interpolation functions #corner.py package for corner plots #matplotlib.rc('text', u... | 1.859798 | 2 |
azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger_py3.py | NMijat1024/azure-sdk-for-python | 1 | 6629262 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | en | 0.552372 | # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ... | 1.694742 | 2 |
ucscsdk/mometa/compute/ComputeResourceSetManager.py | parag-may4/ucscsdk | 9 | 6629263 | """This module contains the general information for ComputeResourceSetManager ManagedObject."""
from ...ucscmo import ManagedObject
from ...ucsccoremeta import UcscVersion, MoPropertyMeta, MoMeta
from ...ucscmeta import VersionMeta
class ComputeResourceSetManagerConsts():
POLLING_STATE_COMPLETE = "complete"
... | """This module contains the general information for ComputeResourceSetManager ManagedObject."""
from ...ucscmo import ManagedObject
from ...ucsccoremeta import UcscVersion, MoPropertyMeta, MoMeta
from ...ucscmeta import VersionMeta
class ComputeResourceSetManagerConsts():
POLLING_STATE_COMPLETE = "complete"
... | en | 0.621918 | This module contains the general information for ComputeResourceSetManager ManagedObject. This is ComputeResourceSetManager class. ((deleteAll|ignore|deleteNonPresent),){0,2}(deleteAll|ignore|deleteNonPresent){0,1} ((removed|created|modified|deleted),){0,3}(removed|created|modified|deleted){0,1} | 2.029954 | 2 |
app/backend/wells/tests/test_stack.py | bcgov/gwells | 37 | 6629264 | <reponame>bcgov/gwells
"""
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 writi... | """
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distri... | en | 0.937873 | Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed un... | 1.834569 | 2 |
pypbm.py | baloo1379/io-convolultion | 0 | 6629265 | import tokenize as t
import numpy as np
class PyPBM:
formats = ['P1', 'P2', 'P3']
white = [0, 4, 60]
NAME = 1
NUMBER = 2
COMMENT = 60
def __init__(self, path, n):
self.file_name = path
self.id = n
self.type = None
self.width = 0
self.height = 0
... | import tokenize as t
import numpy as np
class PyPBM:
formats = ['P1', 'P2', 'P3']
white = [0, 4, 60]
NAME = 1
NUMBER = 2
COMMENT = 60
def __init__(self, path, n):
self.file_name = path
self.id = n
self.type = None
self.width = 0
self.height = 0
... | en | 0.542759 | # Format # Width # Height # Max value of pixel (if present) # Pixels array # row += " " | 2.83736 | 3 |
techmeme/__init__.py | bmintz/technical-meme-helper | 6 | 6629266 | <filename>techmeme/__init__.py
#!/usr/bin/env python3
# encoding: utf-8
#
# © 2017 <NAME>
# https://bmintz.mit-license.org/@2017
#
"""
techmeme: class that turns videos into dank technical may-mays
"""
from .technicalmeme import TechnicalMeme
| <filename>techmeme/__init__.py
#!/usr/bin/env python3
# encoding: utf-8
#
# © 2017 <NAME>
# https://bmintz.mit-license.org/@2017
#
"""
techmeme: class that turns videos into dank technical may-mays
"""
from .technicalmeme import TechnicalMeme
| en | 0.622092 | #!/usr/bin/env python3 # encoding: utf-8 # # © 2017 <NAME> # https://bmintz.mit-license.org/@2017 # techmeme: class that turns videos into dank technical may-mays | 1.512421 | 2 |
photofiler.py | aparkerlue/photo-filer | 0 | 6629267 | # -*- coding: utf-8 -*-
import argparse
import os
import sys
import shutil
from collections import defaultdict
from datetime import datetime
from PIL import Image
from geopy.geocoders import Nominatim
from get_lat_lon_exif_pil import get_exif_data, get_lat_lon
def get_location(exif_data):
lat_lon = get_lat_lon(... | # -*- coding: utf-8 -*-
import argparse
import os
import sys
import shutil
from collections import defaultdict
from datetime import datetime
from PIL import Image
from geopy.geocoders import Nominatim
from get_lat_lon_exif_pil import get_exif_data, get_lat_lon
def get_location(exif_data):
lat_lon = get_lat_lon(... | en | 0.935692 | # -*- coding: utf-8 -*- Image file to organize. If directory, only children are read # Include just the direct children of the directory. Including # all of the descendants could result in name collisions. # # Providing multiple directories could also lead to name # collisions, but we want to allow at least one directo... | 2.700194 | 3 |
tile_generator/bosh.py | yfhsu/tile-generator | 0 | 6629268 | #!/usr/bin/env python
# tile-generator
#
# Copyright (c) 2015-Present Pivotal Software, 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... | #!/usr/bin/env python
# tile-generator
#
# Copyright (c) 2015-Present Pivotal Software, 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... | en | 0.805249 | #!/usr/bin/env python # tile-generator # # Copyright (c) 2015-Present Pivotal Software, 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/... | 2.065131 | 2 |
webots_ros2_driver/webots_ros2_driver/webots_launcher.py | TaoYibo1866/webots_ros2 | 0 | 6629269 | #!/usr/bin/env python
# Copyright 1996-2021 Cyberbotics Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | #!/usr/bin/env python
# Copyright 1996-2021 Cyberbotics Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | en | 0.798369 | #!/usr/bin/env python # Copyright 1996-2021 Cyberbotics Ltd. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab... | 2.499748 | 2 |
bin/extract-admin-password.py | DimensionDataResearch/ddcloud-docker-swarm | 0 | 6629270 | #!/usr/bin/env python2
from __future__ import unicode_literals, print_function
import os
import re
root = os.path.normpath(
os.path.dirname(os.path.abspath(__file__)) + "/.."
)
terraform_script_file = os.path.join(root, "terraform/ddcloud-docker-swarm.tf")
terraform_script = open(terraform_script_file, mode='r'... | #!/usr/bin/env python2
from __future__ import unicode_literals, print_function
import os
import re
root = os.path.normpath(
os.path.dirname(os.path.abspath(__file__)) + "/.."
)
terraform_script_file = os.path.join(root, "terraform/ddcloud-docker-swarm.tf")
terraform_script = open(terraform_script_file, mode='r'... | ru | 0.196695 | #!/usr/bin/env python2 | 2.356435 | 2 |
src/articles/services/core/service.py | robzzy/articles-service | 0 | 6629271 | # -*- coding: utf-8 -*-
import json
from nameko_tracer import Tracer
from nameko.events import EventDispatcher
from nameko_sqlalchemy import DatabaseSession
from nameko.rpc import rpc
from nameko.web.handlers import http
from articles.models import DeclarativeBase
from articles.services.core.authors import AuthorMix... | # -*- coding: utf-8 -*-
import json
from nameko_tracer import Tracer
from nameko.events import EventDispatcher
from nameko_sqlalchemy import DatabaseSession
from nameko.rpc import rpc
from nameko.web.handlers import http
from articles.models import DeclarativeBase
from articles.services.core.authors import AuthorMix... | en | 0.769321 | # -*- coding: utf-8 -*- | 2.069993 | 2 |
tuples-and-sets/1_count_same_values.py | Minkov/python-advanced-2020-01 | 5 | 6629272 | <gh_stars>1-10
def solve(values):
occurances = {}
for value in values:
if value not in occurances:
occurances[value] = 0
occurances[value] += 1
for number, count in occurances.items():
print(f'{number} - {count} times')
values_strings = input().split(' ')
values = [fl... | def solve(values):
occurances = {}
for value in values:
if value not in occurances:
occurances[value] = 0
occurances[value] += 1
for number, count in occurances.items():
print(f'{number} - {count} times')
values_strings = input().split(' ')
values = [float(x) for x in... | none | 1 | 3.452361 | 3 | |
utils.py | mateuszbuda/duke-dbt-detection | 10 | 6629273 | import numpy as np
from PIL import Image, ImageDraw, ImageFont
from skimage.transform import rescale
from dataset import TomoDetectionDataset
def log_images(x, y_true, y_pred):
images = []
y_true_np = y_true.detach().cpu().numpy()
y_pred_np = y_pred.detach().cpu().numpy()
x_np = x.detach().cpu().nump... | import numpy as np
from PIL import Image, ImageDraw, ImageFont
from skimage.transform import rescale
from dataset import TomoDetectionDataset
def log_images(x, y_true, y_pred):
images = []
y_true_np = y_true.detach().cpu().numpy()
y_pred_np = y_pred.detach().cpu().numpy()
x_np = x.detach().cpu().nump... | none | 1 | 2.563923 | 3 | |
Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/python/autograph/utils/py_func.py | JustinACoder/H22-GR3-UnrealAI | 6 | 6629274 | <gh_stars>1-10
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | en | 0.711019 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica... | 2.434228 | 2 |
mmaction/models/tenons/spatial_temporal_modules/__init__.py | arpanmangal/coinaction | 1 | 6629275 | from .simple_spatial_module import SimpleSpatialModule
from .simple_spatial_temporal_module import SimpleSpatialTemporalModule
__all__ = [
'SimpleSpatialModule',
'SimpleSpatialTemporalModule'
] | from .simple_spatial_module import SimpleSpatialModule
from .simple_spatial_temporal_module import SimpleSpatialTemporalModule
__all__ = [
'SimpleSpatialModule',
'SimpleSpatialTemporalModule'
] | none | 1 | 1.057032 | 1 | |
graph_embedding/dmon/train_dgi_batched.py | pedersor/google-research | 0 | 6629276 | # 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... | # 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 | 0.790846 | # 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... | 1.741108 | 2 |
django_project/tests/test_forms.py | jsolly/blogthedata | 1 | 6629277 | from .base import SetUp
from blog.forms import PostForm
from users.forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm
class TestForms(SetUp):
def test_post_form_valid_data(self):
form = PostForm(
data={
"title": "My Second Post",
"slug": "second-po... | from .base import SetUp
from blog.forms import PostForm
from users.forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm
class TestForms(SetUp):
def test_post_form_valid_data(self):
form = PostForm(
data={
"title": "My Second Post",
"slug": "second-po... | en | 0.727937 | # "metaimg" : "" # "metaimg"_mimetype : "" # date_posted : "" # "likes" # "views" # Users Forms # Might want to add image validation | 2.55995 | 3 |
examples/plotting/lat_lon_lines.py | mridullpandey/sunpy | 0 | 6629278 | """
=================================================
Drawing heliographic longitude and latitude lines
=================================================
How to draw your own (Stonyhurst) longitude and latitude lines
"""
import numpy as np
import astropy.units as u
import matplotlib.pyplot as plt
from astropy.coordin... | """
=================================================
Drawing heliographic longitude and latitude lines
=================================================
How to draw your own (Stonyhurst) longitude and latitude lines
"""
import numpy as np
import astropy.units as u
import matplotlib.pyplot as plt
from astropy.coordin... | en | 0.330892 | ================================================= Drawing heliographic longitude and latitude lines ================================================= How to draw your own (Stonyhurst) longitude and latitude lines ############################################################################### # The purpose of this exam... | 3.377384 | 3 |
inheritance_exercise/zoo/project/reptile.py | Veselin-Stoilov/software-university-OOP | 0 | 6629279 | from inheritance_exercise.zoo.project.animal import Animal
class Reptile(Animal):
pass | from inheritance_exercise.zoo.project.animal import Animal
class Reptile(Animal):
pass | none | 1 | 1.384794 | 1 | |
src/utils/testfilemanager.py | webappetizers/webappetizers | 0 | 6629280 | import filemanager
elevations = [111,2,13]
# Save to file
try:
manager = filemanager.Manager('elevations', '.csv',elevations,'a')
manager.write()
except Exception as e:
print(e) | import filemanager
elevations = [111,2,13]
# Save to file
try:
manager = filemanager.Manager('elevations', '.csv',elevations,'a')
manager.write()
except Exception as e:
print(e) | en | 0.945986 | # Save to file | 2.372135 | 2 |
Heap/1046. Last Stone Weight.py | xli1110/LC | 2 | 6629281 | import heapq
class Solution:
def lastStoneWeight(self, stones: List[int]) -> int:
if not stones:
raise Exception("Empty Array")
h = [-x for x in stones]
heapq.heapify(h)
while len(h) > 1:
x = -heapq.heappop(h)
y = -heapq.heappop(h)
... | import heapq
class Solution:
def lastStoneWeight(self, stones: List[int]) -> int:
if not stones:
raise Exception("Empty Array")
h = [-x for x in stones]
heapq.heapify(h)
while len(h) > 1:
x = -heapq.heappop(h)
y = -heapq.heappop(h)
... | none | 1 | 3.129853 | 3 | |
code/libamrfile/meshplot.py | cemacrr/bisicles_gia | 0 | 6629282 | from amrfile import io as amrio
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as col
import matplotlib.patches as pat
plt.figure(figsize=(4,6))
plt.subplot(111,aspect='equal')
hmin = 0.0
hmax = 3000.0
amrio.freeAll()
amrID = amrio.load("plot.amundsen.2d.hdf5")
time = amrio.queryTime(am... | from amrfile import io as amrio
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as col
import matplotlib.patches as pat
plt.figure(figsize=(4,6))
plt.subplot(111,aspect='equal')
hmin = 0.0
hmax = 3000.0
amrio.freeAll()
amrID = amrio.load("plot.amundsen.2d.hdf5")
time = amrio.queryTime(am... | none | 1 | 1.889389 | 2 | |
fs_image/compiler/items/make_subvol.py | singhaditya28/fs_image | 0 | 6629283 | <gh_stars>0
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
'''
Exactly one item must exist in this phase. If none is specified by the
`.bzl` code, then `dep_graph.py... | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
'''
Exactly one item must exist in this phase. If none is specified by the
`.bzl` code, then `dep_graph.py` injects a ... | en | 0.898363 | #!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. Exactly one item must exist in this phase. If none is specified by the `.bzl` code, then `dep_graph.py` injects a `File... | 2.139314 | 2 |
standard training/utils.py | wangaxe/DEAT | 1 | 6629284 | <filename>standard training/utils.py
# Adopted from https://github.com/P2333/Bag-of-Tricks-for-AT
import torch
import torch.nn.functional as F
from torchvision import datasets, transforms
from torch.utils.data.sampler import SubsetRandomSampler
import numpy as np
cifar10_mean = (0.4914, 0.4822, 0.4465)
cifar10... | <filename>standard training/utils.py
# Adopted from https://github.com/P2333/Bag-of-Tricks-for-AT
import torch
import torch.nn.functional as F
from torchvision import datasets, transforms
from torch.utils.data.sampler import SubsetRandomSampler
import numpy as np
cifar10_mean = (0.4914, 0.4822, 0.4465)
cifar10... | en | 0.436539 | # Adopted from https://github.com/P2333/Bag-of-Tricks-for-AT # mu = torch.tensor(cifar10_mean).view(3,1,1).cuda() # std = torch.tensor(cifar10_std).view(3,1,1).cuda() | 2.243087 | 2 |
sort_list_of_dict.py | zabuchan/sort_recipe | 0 | 6629285 | <filename>sort_list_of_dict.py
import json
from operator import itemgetter
filename = "room_price.json"
with open(filename, 'r') as fin:
offices = json.load(fin)
room_list = offices['office']
rooms_by_price = sorted(room_list, key=itemgetter('price'))
rooms_by_room_number = sorted(room_list, key=itemgetter('room-nu... | <filename>sort_list_of_dict.py
import json
from operator import itemgetter
filename = "room_price.json"
with open(filename, 'r') as fin:
offices = json.load(fin)
room_list = offices['office']
rooms_by_price = sorted(room_list, key=itemgetter('price'))
rooms_by_room_number = sorted(room_list, key=itemgetter('room-nu... | none | 1 | 3.728563 | 4 | |
Version 2/test_file.py | jesus-333/CSP | 6 | 6629286 | # -*- coding: utf-8 -*-
"""
Contain the implementation of the FBCSP algorithm. Developed for the train part of dataset IV-1-a of BCI competition.
@author: <NAME> (Jesus)
@organization: University of Padua (Italy)
"""
#%%
from CSP_support_function import cleanWorkspaec
# cleanWorkspaec()
#%%
from CSP_support_function... | # -*- coding: utf-8 -*-
"""
Contain the implementation of the FBCSP algorithm. Developed for the train part of dataset IV-1-a of BCI competition.
@author: <NAME> (Jesus)
@organization: University of Padua (Italy)
"""
#%%
from CSP_support_function import cleanWorkspaec
# cleanWorkspaec()
#%%
from CSP_support_function... | en | 0.60606 | # -*- coding: utf-8 -*- Contain the implementation of the FBCSP algorithm. Developed for the train part of dataset IV-1-a of BCI competition. @author: <NAME> (Jesus) @organization: University of Padua (Italy) #%% # cleanWorkspaec() #%% # x1 = np.linspace(1, sx_0.shape[0], sx_0.shape[0]) # x2 = x1 + 0.35 # # Mean throu... | 2.534722 | 3 |
pynetdicom/tests/test_ae.py | Jesse-Back/pynetdicom | 274 | 6629287 | <gh_stars>100-1000
"""Tests for the ae module."""
import logging
import os
import signal
import threading
import time
import pytest
from pydicom import read_file
from pydicom.dataset import Dataset
from pydicom.uid import UID, ImplicitVRLittleEndian
from pynetdicom import (
AE, evt, debug_logger, build_context,... | """Tests for the ae module."""
import logging
import os
import signal
import threading
import time
import pytest
from pydicom import read_file
from pydicom.dataset import Dataset
from pydicom.uid import UID, ImplicitVRLittleEndian
from pynetdicom import (
AE, evt, debug_logger, build_context,
DEFAULT_TRANSF... | en | 0.612743 | Tests for the ae module. # debug_logger() Test binding events to the blocking AssociationServer. Tests for AE.make_server() Run prior to each test Clear any active threads Test warning if using bytes to set an AE title. Tests for AE.start_server() Run prior to each test Clear any active threads Test the `ae_title` keyw... | 2.109421 | 2 |
source/soca/cluster_web_ui/app.py | SystemFabricWorks/scale-out-computing-on-aws | 0 | 6629288 | import logging.config
from flask import Flask, redirect, jsonify
from flask_restful import Api
from flask_session import Session
from flask_sqlalchemy import SQLAlchemy
from api.v1.scheduler.pbspro.job import Job
from api.v1.scheduler.pbspro.jobs import Jobs
from api.v1.scheduler.pbspro.queue import Queue
from api.v1.s... | import logging.config
from flask import Flask, redirect, jsonify
from flask_restful import Api
from flask_session import Session
from flask_sqlalchemy import SQLAlchemy
from api.v1.scheduler.pbspro.job import Job
from api.v1.scheduler.pbspro.jobs import Jobs
from api.v1.scheduler.pbspro.queue import Queue
from api.v1.s... | en | 0.773254 | # Register routes # Add API # LDAP # Users # System # Scheduler # Register views # Custom Jinja2 filters # This make sure folders with long name on /my_files are displayed correctly # Manage logger # Scheduled tasks | 1.509777 | 2 |
src/aceinna/framework/utils/resource.py | lihaiyong827/python-openimu | 41 | 6629289 | import os
import sys
import pkgutil
from ... import PACKAGE_NAME
def is_in_bundle():
return hasattr(sys, 'frozen') and getattr(sys, 'frozen') and hasattr(sys, '_MEIPASS')
def is_dev_mode():
return hasattr(sys, '__dev__') and getattr(sys, '__dev__')
def get_executor_path():
if is_in_bundle():
p... | import os
import sys
import pkgutil
from ... import PACKAGE_NAME
def is_in_bundle():
return hasattr(sys, 'frozen') and getattr(sys, 'frozen') and hasattr(sys, '_MEIPASS')
def is_dev_mode():
return hasattr(sys, '__dev__') and getattr(sys, '__dev__')
def get_executor_path():
if is_in_bundle():
p... | en | 0.436953 | # if start from main.py | 2.103004 | 2 |
bot/cogs/defcon.py | crazygmr101/bot | 1 | 6629290 | <filename>bot/cogs/defcon.py
from __future__ import annotations
import logging
from collections import namedtuple
from datetime import datetime, timedelta
from enum import Enum
from discord import Colour, Embed, Member
from discord.ext.commands import Cog, Context, group
from bot.bot import Bot
from bot.cogs.moderat... | <filename>bot/cogs/defcon.py
from __future__ import annotations
import logging
from collections import namedtuple
from datetime import datetime, timedelta
from enum import Enum
from discord import Colour, Embed, Member
from discord.ext.commands import Cog, Context, group
from bot.bot import Bot
from bot.cogs.moderat... | en | 0.904042 | Hi, {user} - Thanks for your interest in our server! Due to a current (or detected) cyberattack on our community, we've limited access to the server for new accounts. Since your account is relatively new, we're unable to provide access to the server at this time. Even so, thanks for joining! We're very excited at the... | 2.334432 | 2 |
examples/phononic/coef_conf_elastic.py | olivierverdier/sfepy | 1 | 6629291 | from sfepy.fem.periodic import *
import sfepy.homogenization.coefs_base as cb
from sfepy.homogenization.utils import define_box_regions
def expand_regions( eqs, expand ):
out = {}
for key, val in eqs.iteritems():
out[key] = val % expand
return out
expr_elastic = """dw_lin_elastic.3.%s( matrix.D, P... | from sfepy.fem.periodic import *
import sfepy.homogenization.coefs_base as cb
from sfepy.homogenization.utils import define_box_regions
def expand_regions( eqs, expand ):
out = {}
for key, val in eqs.iteritems():
out[key] = val % expand
return out
expr_elastic = """dw_lin_elastic.3.%s( matrix.D, P... | en | 0.547982 | dw_lin_elastic.3.%s( matrix.D, Pi1, Pi2 ) dw_lin_elastic.3.%s( matrix.D, v1, u1 ) + dw_lin_elastic.3.%s( matrix.D, v1, Pi ) = 0 Uses materials, fe of master file, merges regions. ## # Periodic boundary conditions. # Direct solver. | 1.99717 | 2 |
herders/migrations/0010_auto_20191214_1751.py | Itori/swarfarm | 66 | 6629292 | # Generated by Django 2.2.9.dev20191214052109 on 2019-12-15 01:51
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('herders', '0009_auto_20191114_1159'),
]
operations = [
migrations.AddField(
... | # Generated by Django 2.2.9.dev20191214052109 on 2019-12-15 01:51
import django.contrib.postgres.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('herders', '0009_auto_20191114_1159'),
]
operations = [
migrations.AddField(
... | en | 0.811128 | # Generated by Django 2.2.9.dev20191214052109 on 2019-12-15 01:51 | 1.679203 | 2 |
tests/test_lists.py | eladrich/pyrallis | 22 | 6629293 | from dataclasses import dataclass, field
from typing import *
import pytest
from .testutils import *
def test_list_one_element(simple_attribute):
some_type, passed_value, expected_value = simple_attribute
@dataclass
class Container(TestSetup):
a: List[some_type] = field(default_factory=list)
... | from dataclasses import dataclass, field
from typing import *
import pytest
from .testutils import *
def test_list_one_element(simple_attribute):
some_type, passed_value, expected_value = simple_attribute
@dataclass
class Container(TestSetup):
a: List[some_type] = field(default_factory=list)
... | en | 0.52286 | # type: ignore some docstring for attribute 'a' | 2.72615 | 3 |
samples/modules/tensorflow/magic_wand/train/data_prepare_test.py | lviala-zaack/zephyr | 6,224 | 6629294 | <filename>samples/modules/tensorflow/magic_wand/train/data_prepare_test.py<gh_stars>1000+
# Lint as: python3
# Copyright 2019 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 obta... | <filename>samples/modules/tensorflow/magic_wand/train/data_prepare_test.py<gh_stars>1000+
# Lint as: python3
# Copyright 2019 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 obta... | en | 0.735468 | # Lint as: python3 # Copyright 2019 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 # # Unl... | 2.239187 | 2 |
examples/rules/PropertiesTagsIncluded.py | amabowilli/cfn-python-lint | 1 | 6629295 | """
Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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 ... | """
Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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 ... | en | 0.777292 | Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. 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... | 1.935151 | 2 |
modules/core/dataloader.py | CGL-Deeplearning/FRIDAY | 6 | 6629296 | <reponame>CGL-Deeplearning/FRIDAY
import os
import numpy as np
import pandas as pd
from torch.utils.data import Dataset
import h5py
import torch
import pickle
class SequenceDataset(Dataset):
"""
Arguments:
A CSV file path
"""
def __init__(self, csv_path, transform=None):
data_frame = ... | import os
import numpy as np
import pandas as pd
from torch.utils.data import Dataset
import h5py
import torch
import pickle
class SequenceDataset(Dataset):
"""
Arguments:
A CSV file path
"""
def __init__(self, csv_path, transform=None):
data_frame = pd.read_csv(csv_path, header=None,... | en | 0.645642 | Arguments: A CSV file path # assert data_frame[0].apply(lambda x: os.path.isfile(x.split(' ')[0])).all(), \ # "Some images referenced in the CSV file were not found" # load the image # load the labels # type fix and convert to tensor | 2.733417 | 3 |
hashsha1.py | fbl4kd43m0n/Python | 2 | 6629297 | <filename>hashsha1.py
import hashlib
BLOCKSIZE = 65536
hasher = hashlib.sha1()
with open('anotherfile.txt', 'rb') as afile:
buf = afile.read(BLOCKSIZE)
while len(buf) > 0:
hasher.update(buf)
buf = afile.read(BLOCKSIZE)
print(hasher.hexdigest())
| <filename>hashsha1.py
import hashlib
BLOCKSIZE = 65536
hasher = hashlib.sha1()
with open('anotherfile.txt', 'rb') as afile:
buf = afile.read(BLOCKSIZE)
while len(buf) > 0:
hasher.update(buf)
buf = afile.read(BLOCKSIZE)
print(hasher.hexdigest())
| none | 1 | 3.045454 | 3 | |
container-with-most-water/container-with-most-water.py | QQuinn03/LeetHub | 0 | 6629298 | class Solution:
def maxArea(self, height: List[int]) -> int:
res = 0
left = 0
right = len(height)-1
while left<right:
left_contain = height[left]
right_contain = height[right]
if left_contain<right_contain:
res = max(res,(r... | class Solution:
def maxArea(self, height: List[int]) -> int:
res = 0
left = 0
right = len(height)-1
while left<right:
left_contain = height[left]
right_contain = height[right]
if left_contain<right_contain:
res = max(res,(r... | none | 1 | 3.081709 | 3 | |
twitter_scrooge/twitter_scrooge.bzl | adam-singer/rules_scala | 0 | 6629299 | load("@bazel_skylib//lib:dicts.bzl", "dicts")
load(
"//scala:scala_cross_version.bzl",
_default_maven_server_urls = "default_maven_server_urls",
)
load(
"//scala/private:common.bzl",
"write_manifest_file",
)
load(
"//scala/private:dependency.bzl",
"legacy_unclear_dependency_info_for_protobuf_scr... | load("@bazel_skylib//lib:dicts.bzl", "dicts")
load(
"//scala:scala_cross_version.bzl",
_default_maven_server_urls = "default_maven_server_urls",
)
load(
"//scala/private:common.bzl",
"write_manifest_file",
)
load(
"//scala/private:dependency.bzl",
"legacy_unclear_dependency_info_for_protobuf_scr... | en | 0.883026 | # These target labels need maven_servers to compute sensible defaults. # Therefore we leave them None here. # Mustache is needed to generate java from thrift, and is passed further down. # scrooge-generator needs these runtime_deps to generate java from thrift. # This is a shim needed to import `@javax.annotation.Gener... | 1.677275 | 2 |
contrib/agdc_workshop_exercises/pqa-finished.py | jeremyh/agdc | 34 | 6629300 | <filename>contrib/agdc_workshop_exercises/pqa-finished.py<gh_stars>10-100
'''
Created on 21/02/2013
@author: u76345
'''
import os
import sys
import logging
import re
import numpy
from datetime import datetime, time
from osgeo import gdal
from agdc.stacker import Stacker
from EOtools.utils import log_multiline
# Set ... | <filename>contrib/agdc_workshop_exercises/pqa-finished.py<gh_stars>10-100
'''
Created on 21/02/2013
@author: u76345
'''
import os
import sys
import logging
import re
import numpy
from datetime import datetime, time
from osgeo import gdal
from agdc.stacker import Stacker
from EOtools.utils import log_multiline
# Set ... | en | 0.849941 | Created on 21/02/2013 @author: u76345 # Set top level standard output # Default logging level for all modules # Creates derived datasets by getting masking all NBAR datasets in a stack with PQA data Subclass of Stacker Used to implement specific functionality to create stacks of derived datasets. # Figure out our ... | 2.100486 | 2 |
tensorflow_data_validation/utils/display_util.py | tensorflow/data-validation | 621 | 6629301 | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | en | 0.673873 | # 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 # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ... | 1.973415 | 2 |
setup.py | gitdachong/lasttester | 0 | 6629302 | #coding:utf-8
from setuptools import setup, find_packages
from lasttester import __author__,__version__,__contact__
import sys
import os
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist bdist_wheel')
os.system('twine upload dist/*')
sys.exit()
with open("README.md", "r") as fh:
long_d... | #coding:utf-8
from setuptools import setup, find_packages
from lasttester import __author__,__version__,__contact__
import sys
import os
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist bdist_wheel')
os.system('twine upload dist/*')
sys.exit()
with open("README.md", "r") as fh:
long_d... | en | 0.795494 | #coding:utf-8 | 1.403904 | 1 |
apis/_track.py | JohnRipper/tinybot-rtc | 1 | 6629303 | import time
class Track:
def __init__(self, video_id='', video_time=0, video_title='', image='', owner=None, video_type='youTube'):
self.id = video_id
self.time = video_time
self.title = video_title
self.image = image
self.owner = owner
self.type = video_type
... | import time
class Track:
def __init__(self, video_id='', video_time=0, video_title='', image='', owner=None, video_type='youTube'):
self.id = video_id
self.time = video_time
self.title = video_title
self.image = image
self.owner = owner
self.type = video_type
... | none | 1 | 2.660649 | 3 | |
openclsim/plot/__init__.py | thijsreedijk/OpenCLSim | 0 | 6629304 | <filename>openclsim/plot/__init__.py<gh_stars>0
"""Directory for the simulation plots."""
from .log_dataframe import get_log_dataframe
from .step_chart import get_step_chart
from .vessel_planning import vessel_planning
__all__ = ["vessel_planning", "get_log_dataframe", "get_step_chart"]
| <filename>openclsim/plot/__init__.py<gh_stars>0
"""Directory for the simulation plots."""
from .log_dataframe import get_log_dataframe
from .step_chart import get_step_chart
from .vessel_planning import vessel_planning
__all__ = ["vessel_planning", "get_log_dataframe", "get_step_chart"]
| en | 0.818233 | Directory for the simulation plots. | 1.276103 | 1 |
dlutils/models/gans/wasserstein_div/models.py | justusschock/dl-utils | 13 | 6629305 | from functools import reduce
from operator import mul
import torch
class Generator(torch.nn.Module):
"""
A simple generative network
"""
def __init__(self, img_shape, latent_dim):
"""
Parameters
----------
img_shape : tuple
the shape of the images to gene... | from functools import reduce
from operator import mul
import torch
class Generator(torch.nn.Module):
"""
A simple generative network
"""
def __init__(self, img_shape, latent_dim):
"""
Parameters
----------
img_shape : tuple
the shape of the images to gene... | en | 0.64112 | A simple generative network Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim : int size of the latent noise dimension Feeds a batch of noise vectors through the network to ge... | 2.925046 | 3 |
data/studio21_generated/introductory/2466/starter_code.py | vijaykumawat256/Prompt-Summarization | 0 | 6629306 | class Solution:
def diagonalSum(self, mat: List[List[int]]) -> int:
| class Solution:
def diagonalSum(self, mat: List[List[int]]) -> int:
| none | 1 | 2.049908 | 2 | |
qitensor/arrayformatter.py | dstahlke/qitensor | 6 | 6629307 | <filename>qitensor/arrayformatter.py
"""
This module handles formatting of arrays. Everything in here is for internal use only,
except for the :func:`set_qitensor_printoptions` and :func:`get_qitensor_printoptions`
functions.
"""
import numpy as np
from qitensor import have_sage
from qitensor.exceptions import Hilbe... | <filename>qitensor/arrayformatter.py
"""
This module handles formatting of arrays. Everything in here is for internal use only,
except for the :func:`set_qitensor_printoptions` and :func:`get_qitensor_printoptions`
functions.
"""
import numpy as np
from qitensor import have_sage
from qitensor.exceptions import Hilbe... | en | 0.182097 | This module handles formatting of arrays. Everything in here is for internal use only, except for the :func:`set_qitensor_printoptions` and :func:`get_qitensor_printoptions` functions. This module handles formatting of arrays. Methods of this class are called by methods of HilbertArray, and shouldn't ... | 2.390714 | 2 |
tests/tune/concepts/space/test_parameters.py | fugue-project/tune | 14 | 6629308 | <reponame>fugue-project/tune
import json
import numpy as np
import pandas as pd
from pytest import raises
from scipy import stats
from triad import to_uuid
from tune._utils import assert_close
from tune.concepts.space import (
Choice,
Grid,
NormalRand,
NormalRandInt,
Rand,
RandInt,
Transiti... | import json
import numpy as np
import pandas as pd
from pytest import raises
from scipy import stats
from triad import to_uuid
from tune._utils import assert_close
from tune.concepts.space import (
Choice,
Grid,
NormalRand,
NormalRandInt,
Rand,
RandInt,
TransitionChoice,
TuningParameter... | en | 0.654357 | # for log, low>=1.0 # for log, low>=1.0 # extract and fill by dicts # same express in template # special objects # func # to_template # uuid # simple value | 2.186809 | 2 |
thelma/repositories/rdb/mappers/tag.py | fogathmann/TheLMA | 1 | 6629309 | <reponame>fogathmann/TheLMA<gh_stars>1-10
"""
This file is part of the TheLMA (THe Laboratory Management Application) project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Tag mapper.
"""
from sqlalchemy.orm import column_property
from sqlalchemy.orm import relationship
from sqlalchemy.... | """
This file is part of the TheLMA (THe Laboratory Management Application) project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Tag mapper.
"""
from sqlalchemy.orm import column_property
from sqlalchemy.orm import relationship
from sqlalchemy.orm.deprecated_interfaces import MapperExt... | en | 0.73786 | This file is part of the TheLMA (THe Laboratory Management Application) project. See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information. Tag mapper. # FIXME: the mapper extension mechanism is deprecated. Mapper extension to take care of inserting/updating the non-mapped `tag_domain`, `tag_pred... | 1.936533 | 2 |
tests/ddo/ddo_event_sample_v4.py | oceanprotocol/provider-py | 1 | 6629310 | #
# Copyright 2021 Ocean Protocol Foundation
# SPDX-License-Identifier: Apache-2.0
#
ddo_event_sample_v4 = {
"@context": ["https://w3id.org/did/v1"],
"id": "did:op:ffa5037987b74fbab600d7515605146bb7babcb929c94c60ba93ac5ceda56775",
"created": "2000-10-31T01:30:00.000-05:00",
"updated": "2000-10-31T01:30:... | #
# Copyright 2021 Ocean Protocol Foundation
# SPDX-License-Identifier: Apache-2.0
#
ddo_event_sample_v4 = {
"@context": ["https://w3id.org/did/v1"],
"id": "did:op:ffa5037987b74fbab600d7515605146bb7babcb929c94c60ba93ac5ceda56775",
"created": "2000-10-31T01:30:00.000-05:00",
"updated": "2000-10-31T01:30:... | en | 0.268318 | # # Copyright 2021 Ocean Protocol Foundation # SPDX-License-Identifier: Apache-2.0 # | 1.322538 | 1 |
src/models/predict_model.py | data-modeler/rnn-surv | 7 | 6629311 | """
Predict RNN-SURV model
"""
import os
import numpy as np
import pandas as pd
import json
from os.path import dirname as up
from tensorflow.keras.models import model_from_json
from src.models.rnnsurv import get_data, DataGenerator, create_model
def predict_rnnsurv(modelname, modelpath, datapath, outpath=None):... | """
Predict RNN-SURV model
"""
import os
import numpy as np
import pandas as pd
import json
from os.path import dirname as up
from tensorflow.keras.models import model_from_json
from src.models.rnnsurv import get_data, DataGenerator, create_model
def predict_rnnsurv(modelname, modelpath, datapath, outpath=None):... | en | 0.825279 | Predict RNN-SURV model Predicts and outputs risks and probabilities over time for each new observation. | 2.740906 | 3 |
engine/core/org_singleton.py | torrotitans/torro_community | 1 | 6629312 | #!/usr/bin/python
# -*- coding: UTF-8 -*
from db.org.db_org_mgr import org_mgr
__all__ = {"orgSingleton"}
class orgSingleton():
def add_new_org_setting(self, org):
"""
:return:
"""
return org_mgr.add_new_org_setting(org)
def get_org_info(self):
return org_mgr.get_... | #!/usr/bin/python
# -*- coding: UTF-8 -*
from db.org.db_org_mgr import org_mgr
__all__ = {"orgSingleton"}
class orgSingleton():
def add_new_org_setting(self, org):
"""
:return:
"""
return org_mgr.add_new_org_setting(org)
def get_org_info(self):
return org_mgr.get_... | en | 0.168529 | #!/usr/bin/python # -*- coding: UTF-8 -* :return: | 2.38471 | 2 |
test/test_vfxt_template_deploy.py | anhowe/Avere | 0 | 6629313 | <filename>test/test_vfxt_template_deploy.py
#!/usr/bin/python3
# Copyright (C) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE-CODE in the project root for license information.
"""
Driver for testing Azure ARM template-based deployment of the Avere vFXT.
"""
# standard import... | <filename>test/test_vfxt_template_deploy.py
#!/usr/bin/python3
# Copyright (C) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE-CODE in the project root for license information.
"""
Driver for testing Azure ARM template-based deployment of the Avere vFXT.
"""
# standard import... | en | 0.550379 | #!/usr/bin/python3 # Copyright (C) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See LICENSE-CODE in the project root for license information. Driver for testing Azure ARM template-based deployment of the Avere vFXT. # standard imports # from requirements.txt # local libraries # TODO: mo... | 2.023232 | 2 |
quandl_fund_xlsx/fundamentals.py | robren/quandl_fund_xlsx | 1 | 6629314 | """This module provides functions to calculate fundamental ratios
for a stock potfolio.
The results are saved in an excel workbook with one sheet per stock
as well as a summary sheet
:copyright: (c) 2021 by <NAME>
:license: Apache 2, see LICENCE for more details
"""
import collections
import logging
import numpy as ... | """This module provides functions to calculate fundamental ratios
for a stock potfolio.
The results are saved in an excel workbook with one sheet per stock
as well as a summary sheet
:copyright: (c) 2021 by <NAME>
:license: Apache 2, see LICENCE for more details
"""
import collections
import logging
import numpy as ... | en | 0.836913 | This module provides functions to calculate fundamental ratios for a stock potfolio. The results are saved in an excel workbook with one sheet per stock as well as a summary sheet :copyright: (c) 2021 by <NAME> :license: Apache 2, see LICENCE for more details # Added this one line below to get logging from the reque... | 2.740186 | 3 |
code/evaluate_annotation.py | JonaBenja/lad-assignment1 | 0 | 6629315 | <reponame>JonaBenja/lad-assignment1<gh_stars>0
import pandas as pd
import glob
import os.path
from itertools import combinations
from sklearn.metrics import cohen_kappa_score, confusion_matrix
nl_terms = ["activist", "politici", "klimaat"]
it_terms = ["attivist", "politici", "climatico"]
categories = ["pos", "neg", "n... | import pandas as pd
import glob
import os.path
from itertools import combinations
from sklearn.metrics import cohen_kappa_score, confusion_matrix
nl_terms = ["activist", "politici", "klimaat"]
it_terms = ["attivist", "politici", "climatico"]
categories = ["pos", "neg", "neu"]
for term in nl_terms:
print(term)
... | en | 0.734695 | # Read in the data # Read in annotations #print(confusions) # Read in the data # Read in annotations | 2.63855 | 3 |
getLessons.py | Hammania689/ttmik_webscrapper | 0 | 6629316 | <reponame>Hammania689/ttmik_webscrapper<gh_stars>0
import sys
import requests
import urllib3
from bs4 import BeautifulSoup
from pathlib import Path
def download_all_lessons():
"""
:return: All lesson for all 9 levels of TTMIK :)
"""
# Start level index
# Set path to where files will be downloaded ... | import sys
import requests
import urllib3
from bs4 import BeautifulSoup
from pathlib import Path
def download_all_lessons():
"""
:return: All lesson for all 9 levels of TTMIK :)
"""
# Start level index
# Set path to where files will be downloaded to
# Set Download url parent link
level = 1... | en | 0.505842 | :return: All lesson for all 9 levels of TTMIK :) # Start level index # Set path to where files will be downloaded to # Set Download url parent link # TODO : Change download root link back to curriculm page # download_root = "http://talktomeinkorean.com/curriculum/" # # downloaded_root_page = requests.get(download_root)... | 3.387711 | 3 |
scripts/equals.py | anto2318/ramdapy | 0 | 6629317 | <gh_stars>0
def equals(a, b=0):
return a == b
if __name__ == '__main__':
print(equals(3,3)) | def equals(a, b=0):
return a == b
if __name__ == '__main__':
print(equals(3,3)) | none | 1 | 3.004136 | 3 | |
deltasherlock/common/fingerprinting.py | deltasherlock/utility-package | 0 | 6629318 | <reponame>deltasherlock/utility-package<filename>deltasherlock/common/fingerprinting.py
# DeltaSherlock. See README.md for usage. See LICENSE for MIT/X11 license info.
# pylint: disable=W0201,W1401,R0903
"""
DeltaSherlock fingerprinting module. Contains methods for generating a
filesystem fingerprint based on a changes... | # DeltaSherlock. See README.md for usage. See LICENSE for MIT/X11 license info.
# pylint: disable=W0201,W1401,R0903
"""
DeltaSherlock fingerprinting module. Contains methods for generating a
filesystem fingerprint based on a changeset
"""
from math import sqrt
from enum import Enum, unique
from gensim.models import Wor... | en | 0.752497 | # DeltaSherlock. See README.md for usage. See LICENSE for MIT/X11 license info. # pylint: disable=W0201,W1401,R0903 DeltaSherlock fingerprinting module. Contains methods for generating a filesystem fingerprint based on a changeset An enumerated type containing representations of each fingerprinting method. Notice h... | 2.515005 | 3 |
manga_py/providers/shakai_ru.py | tgaugry/manga-py | 0 | 6629319 | <reponame>tgaugry/manga-py<filename>manga_py/providers/shakai_ru.py
from manga_py.provider import Provider
from .helpers.std import Std
class ShakaiRu(Provider, Std):
_api_url = 'http://shakai.ru/take/api-manga/request/shakai'
def get_chapter_index(self) -> str:
idx = self.chapter.get('data-first')
... | from manga_py.provider import Provider
from .helpers.std import Std
class ShakaiRu(Provider, Std):
_api_url = 'http://shakai.ru/take/api-manga/request/shakai'
def get_chapter_index(self) -> str:
idx = self.chapter.get('data-first')
return idx.replace('_', '-')
def get_content(self):
... | es | 0.290124 | # FIXME HOME # todo meta | 2.686996 | 3 |
setup.py | coetaur0/LEAN | 2 | 6629320 | <reponame>coetaur0/LEAN
from setuptools import setup
setup(name='LEAN',
version='0.0.1',
url='https://github.com/coetaur0/ESIM',
license='Apache 2',
author='<NAME>',
author_email='<EMAIL>',
description='Implementation of the LEAN model for NLI with PyTorch',
packages=[
... | from setuptools import setup
setup(name='LEAN',
version='0.0.1',
url='https://github.com/coetaur0/ESIM',
license='Apache 2',
author='<NAME>',
author_email='<EMAIL>',
description='Implementation of the LEAN model for NLI with PyTorch',
packages=[
'lean'
],
... | none | 1 | 1.175131 | 1 | |
Python3/636.py | rakhi2001/ecom7 | 854 | 6629321 | __________________________________________________________________________________________________
sample 72 ms submission
class Solution:
def exclusiveTime(self, n: 'int', logs: 'List[str]') -> 'List[int]':
res = [0] * n
stack = []
for log in logs:
idx, start, time ... | __________________________________________________________________________________________________
sample 72 ms submission
class Solution:
def exclusiveTime(self, n: 'int', logs: 'List[str]') -> 'List[int]':
res = [0] * n
stack = []
for log in logs:
idx, start, time ... | en | 0.904456 | # task and total time accumulated so far and whether it is cut off # start # if cut off, last time is closing, which takes up 1, so subtract it | 2.921459 | 3 |
grizli_aws/check_prep_results.py | grizli-project/grizli-aws | 0 | 6629322 | <gh_stars>0
"""
Check drizzled images from prep and log checks to a file
"""
def run_check(check_root='GrizliPrep', query='./j*/Prep/*phot.fits'):
import glob
import os
import time
qfiles = glob.glob(query)
try:
checked = [line.strip() for line in open(check_root+'Passed.log'... | """
Check drizzled images from prep and log checks to a file
"""
def run_check(check_root='GrizliPrep', query='./j*/Prep/*phot.fits'):
import glob
import os
import time
qfiles = glob.glob(query)
try:
checked = [line.strip() for line in open(check_root+'Passed.log').readlines(... | en | 0.596861 | Check drizzled images from prep and log checks to a file #root=os.path.basename(file)[:14] #[:14] | 2.373952 | 2 |
testbench/plot_benchmark.py | clemenshage/grslra | 0 | 6629323 | <reponame>clemenshage/grslra<filename>testbench/plot_benchmark.py
import numpy as np
from matplotlib import pyplot as plt
data = np.load('lpnorm_benchmark.npz')
algos = data["algos"]
msizes = data["msizes"]
res = data["res"]
for i in range(len(algos)):
plt.loglog(np.square(msizes), res[i, :], linewidth=2.5, line... | import numpy as np
from matplotlib import pyplot as plt
data = np.load('lpnorm_benchmark.npz')
algos = data["algos"]
msizes = data["msizes"]
res = data["res"]
for i in range(len(algos)):
plt.loglog(np.square(msizes), res[i, :], linewidth=2.5, linestyle="-", label=algos[i].__name__.replace('_', ' '))
plt.legend(... | none | 1 | 3.13175 | 3 | |
dcgan/utils.py | euirim/clone-wars-gan | 0 | 6629324 | import torch
import torchvision.transforms as transforms
import torchvision.datasets as dset
# Directory containing the data.
root = "../data/full"
def get_dataloader(params):
"""
Loads the dataset and applies proproccesing steps to it.
Returns a PyTorch DataLoader.
"""
# Data proprecessing.
... | import torch
import torchvision.transforms as transforms
import torchvision.datasets as dset
# Directory containing the data.
root = "../data/full"
def get_dataloader(params):
"""
Loads the dataset and applies proproccesing steps to it.
Returns a PyTorch DataLoader.
"""
# Data proprecessing.
... | en | 0.545218 | # Directory containing the data. Loads the dataset and applies proproccesing steps to it. Returns a PyTorch DataLoader. # Data proprecessing. # Create the dataset. # Create the dataloader. | 2.861716 | 3 |
src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/placements/placements.py | Roboy/LSM_SpiNNaker_MyoArm | 2 | 6629325 | <filename>src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/placements/placements.py
from pacman.exceptions import (PacmanSubvertexAlreadyPlacedError,
PacmanSubvertexNotPlacedError,
PacmanProcessorAlreadyOccupiedError,
... | <filename>src/spinnaker_ros_lsm/venv/lib/python2.7/site-packages/pacman/model/placements/placements.py
from pacman.exceptions import (PacmanSubvertexAlreadyPlacedError,
PacmanSubvertexNotPlacedError,
PacmanProcessorAlreadyOccupiedError,
... | en | 0.702503 | Represents a list of placements :param placements: The initial list of placements :type placements: iterable of\ :py:class:`pacman.model.placements.placement.Placement` :raise PacmanSubvertexAlreadyPlacedError: If there is any subvertex with more than one placement. ... | 2.796817 | 3 |
userhandling/migrations/0017_auto_20191229_2002.py | cknaut/cinemaple | 1 | 6629326 | <reponame>cknaut/cinemaple
# Generated by Django 2.2.8 on 2019-12-30 01:02
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('userhandling', '0016_auto_20191126_2101'),
]
operations = [
migrations.RenameField(
model_name='movie',
... | # Generated by Django 2.2.8 on 2019-12-30 01:02
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('userhandling', '0016_auto_20191126_2101'),
]
operations = [
migrations.RenameField(
model_name='movie',
old_name='tmdbID',
... | en | 0.867003 | # Generated by Django 2.2.8 on 2019-12-30 01:02 | 1.770158 | 2 |
tests/__init__.py | billionai/RFI | 2 | 6629327 | """Core functionality testing module."""
| """Core functionality testing module."""
| en | 0.2966 | Core functionality testing module. | 0.880316 | 1 |
tp/tp02/ex5.py | UPB-FILS/sde | 5 | 6629328 | girlsList = []
girlsList.append('Ana')
girlsList.append('Diana')
girlsList.append('Alexandra')
girlsList.append('Ana')
# a
girlsList.sort()
print (girlsList)
# b
auxList = []
for name in girlsList:
if name not in auxList:
auxList.append(name)
for name in auxList:
print (name + " " + str(girlsList.cou... | girlsList = []
girlsList.append('Ana')
girlsList.append('Diana')
girlsList.append('Alexandra')
girlsList.append('Ana')
# a
girlsList.sort()
print (girlsList)
# b
auxList = []
for name in girlsList:
if name not in auxList:
auxList.append(name)
for name in auxList:
print (name + " " + str(girlsList.cou... | it | 0.401875 | # a # b # c # d # e | 3.833473 | 4 |
cos.py | dydx-git/Calcy | 0 | 6629329 | import math
def Cos(param1,param2, param3):
try:
if param1==None or param2 != '':
if param3 == False:
param1=math.cos(float(param2))
else:
param1=math.cos(math.radians(float(param2)))
else:
if param3 == False:
... | import math
def Cos(param1,param2, param3):
try:
if param1==None or param2 != '':
if param3 == False:
param1=math.cos(float(param2))
else:
param1=math.cos(math.radians(float(param2)))
else:
if param3 == False:
... | none | 1 | 3.496783 | 3 | |
src/intersection/intersection.py | 0xF4D3C0D3/ray-tracer-challenge-with-python | 0 | 6629330 | <reponame>0xF4D3C0D3/ray-tracer-challenge-with-python<gh_stars>0
import numpy as np
class Intersection(np.ndarray):
def __new__(cls, ts, mask, obj):
self = ts.T.view(cls)
self.mask = mask.squeeze()
self.obj = obj
return self
def __eq__(self, other):
return np.allclose(... | import numpy as np
class Intersection(np.ndarray):
def __new__(cls, ts, mask, obj):
self = ts.T.view(cls)
self.mask = mask.squeeze()
self.obj = obj
return self
def __eq__(self, other):
return np.allclose(self, other)
@property
def count(self):
return s... | none | 1 | 2.824681 | 3 | |
src/query/APIQuery.py | nekumelon/SonOfAnton | 0 | 6629331 | <gh_stars>0
"""
APIQuery should start by checking if a cached completion exists. If it doesn't-
prompt the API for a completion, cache it and use it.
"""
import openai, os, json, re, IO.io as io
from encoder.encoder import get_encoder
MAX_TOKENS = 2048;
with open('config.json') as configFile:
config = json.loads... | """
APIQuery should start by checking if a cached completion exists. If it doesn't-
prompt the API for a completion, cache it and use it.
"""
import openai, os, json, re, IO.io as io
from encoder.encoder import get_encoder
MAX_TOKENS = 2048;
with open('config.json') as configFile:
config = json.loads(configFile.... | en | 0.85387 | APIQuery should start by checking if a cached completion exists. If it doesn't- prompt the API for a completion, cache it and use it. # https://www.tutorialspoint.com/How-to-clamp-floating-numbers-in-Pythons # Get the text of a completion and prepare it # Get the text from the first (Best) completion choice # Remove th... | 2.859187 | 3 |
aio_request/response_classifier.py | anna-money/aio-request | 6 | 6629332 | import abc
import enum
from typing import Dict, Optional
from .base import Header, Response
class ResponseVerdict(enum.Enum):
ACCEPT = 1
REJECT = 2
class ResponseClassifier(abc.ABC):
__slots__ = ()
@abc.abstractmethod
def classify(self, response: Response) -> ResponseVerdict:
...
cla... | import abc
import enum
from typing import Dict, Optional
from .base import Header, Response
class ResponseVerdict(enum.Enum):
ACCEPT = 1
REJECT = 2
class ResponseClassifier(abc.ABC):
__slots__ = ()
@abc.abstractmethod
def classify(self, response: Response) -> ResponseVerdict:
...
cla... | none | 1 | 3.043765 | 3 | |
pip_services3_data/IGetter.py | pip-services-python/pip-services-data-python | 0 | 6629333 | # -*- coding: utf-8 -*-
"""
pip_services3_data.IGetter
~~~~~~~~~~~~~~~~~~~~~~~~~
Interface for data getters.
:copyright: Conceptual Vision Consulting LLC 2018-2019, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from typing import Any, Optional, TypeVar
fro... | # -*- coding: utf-8 -*-
"""
pip_services3_data.IGetter
~~~~~~~~~~~~~~~~~~~~~~~~~
Interface for data getters.
:copyright: Conceptual Vision Consulting LLC 2018-2019, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from typing import Any, Optional, TypeVar
fro... | en | 0.749155 | # -*- coding: utf-8 -*- pip_services3_data.IGetter ~~~~~~~~~~~~~~~~~~~~~~~~~ Interface for data getters. :copyright: Conceptual Vision Consulting LLC 2018-2019, see AUTHORS for more details. :license: MIT, see LICENSE for more details. # Declare type variable Interface for data processing comp... | 2.413539 | 2 |
libp2p/routing/interfaces.py | swedneck/py-libp2p | 0 | 6629334 | from abc import ABC, abstractmethod
from typing import Iterable
from libp2p.peer.id import ID
from libp2p.peer.peerinfo import PeerInfo
class IContentRouting(ABC):
@abstractmethod
def provide(self, cid: bytes, announce: bool = True) -> None:
"""
Provide adds the given cid to the content routi... | from abc import ABC, abstractmethod
from typing import Iterable
from libp2p.peer.id import ID
from libp2p.peer.peerinfo import PeerInfo
class IContentRouting(ABC):
@abstractmethod
def provide(self, cid: bytes, announce: bool = True) -> None:
"""
Provide adds the given cid to the content routi... | en | 0.883183 | Provide adds the given cid to the content routing system. If announce is True, it also announces it, otherwise it is just kept in the local accounting of which objects are being provided. Search for peers who are able to provide a given key returns an iterator of peer.PeerInfo Find specific Peer... | 3.149146 | 3 |
7/TKnapsack.py | pipSu/Algorithm_Assignment | 0 | 6629335 |
def __main():
weight = [4, 2, 5,]
bulk = [1, 2, 3,]
value = [5, 2, 6,]
cw = 5
cb = 4
n = len(weight)
m = [ [[0,0] for j in range(max(cw,cb))]
for i in range(n)
]
print(m)
tk(weight,bulk,value,m, n,cw,cb)
def tk(w,b,v,m, n,cw,cb,):
for i in range(n-1,-1,-... |
def __main():
weight = [4, 2, 5,]
bulk = [1, 2, 3,]
value = [5, 2, 6,]
cw = 5
cb = 4
n = len(weight)
m = [ [[0,0] for j in range(max(cw,cb))]
for i in range(n)
]
print(m)
tk(weight,bulk,value,m, n,cw,cb)
def tk(w,b,v,m, n,cw,cb,):
for i in range(n-1,-1,-... | zh | 0.16912 | #for j in range(maxe, max(cb, cw)+1): | 2.830388 | 3 |
project2_jarvis_ai.py | shrihari272/Artificial_Intelligence | 1 | 6629336 | <reponame>shrihari272/Artificial_Intelligence<gh_stars>1-10
import pyttsx3
import time
import webbrowser
import random
import speech_recognition as sr
import wikipedia
import socket
import datetime
import wolframalpha
import os
import sys
import python_weather
import asyncio
from clint.textui import progre... | import pyttsx3
import time
import webbrowser
import random
import speech_recognition as sr
import wikipedia
import socket
import datetime
import wolframalpha
import os
import sys
import python_weather
import asyncio
from clint.textui import progress
import requests
import shutil
import subprocess
en... | de | 0.243835 | ####################".center(columns)) ####################".center(columns)) | 2.702618 | 3 |
rpython/rlib/rstruct/test/test_runpack.py | jptomo/pypy-lang-scheme | 34 | 6629337 | from rpython.rtyper.test.tool import BaseRtypingTest
from rpython.rlib.rstruct.runpack import runpack
from rpython.rlib.rarithmetic import LONG_BIT
import struct
class TestRStruct(BaseRtypingTest):
def test_unpack(self):
pad = '\x00' * (LONG_BIT//8-1) # 3 or 7 null bytes
def fn():
re... | from rpython.rtyper.test.tool import BaseRtypingTest
from rpython.rlib.rstruct.runpack import runpack
from rpython.rlib.rarithmetic import LONG_BIT
import struct
class TestRStruct(BaseRtypingTest):
def test_unpack(self):
pad = '\x00' * (LONG_BIT//8-1) # 3 or 7 null bytes
def fn():
re... | en | 0.301816 | # 3 or 7 null bytes | 2.500109 | 3 |
archive/run_results_parser.py | sungchun12/airflow-dbt-cloud | 9 | 6629338 | """Utilities to parse the results of the run_results.json"""
import json
class dbt_command_run_results_parser:
def __init__(self, status_set, dbt_command_override, run_downstream_nodes):
self.status_set = status_set # ex: {'warn', 'error', 'fail'}
self.dbt_command_override = dbt_command_override ... | """Utilities to parse the results of the run_results.json"""
import json
class dbt_command_run_results_parser:
def __init__(self, status_set, dbt_command_override, run_downstream_nodes):
self.status_set = status_set # ex: {'warn', 'error', 'fail'}
self.dbt_command_override = dbt_command_override ... | en | 0.367851 | Utilities to parse the results of the run_results.json # ex: {'warn', 'error', 'fail'} | 2.90047 | 3 |
workloads/bench1/src/stats.py | pacslab/conc-value-perf-modelling | 0 | 6629339 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import json
import time
import os
import socket
import sys
import uuid
import subprocess
try:
import urllib2
from urllib2 import urlopen
except BaseException:
from urllib.request import urlopen
import decimal
# Set it to yo... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import json
import time
import os
import socket
import sys
import uuid
import subprocess
try:
import urllib2
from urllib2 import urlopen
except BaseException:
from urllib.request import urlopen
import decimal
# Set it to yo... | en | 0.584185 | #!/usr/bin/python # -*- coding: utf-8 -*- # Set it to your own servers Convert a float number to string Get and format the content of /proc/meminfo Get and format the content of /proc/vmstat Get and format the content of /proc/diskstats Get and format the content of /proc/cpuinfo Get CPU version information # return [a... | 2.581217 | 3 |
members/forms.py | Freerk42/makerspaceleiden-crm | 0 | 6629340 | from django import forms
from django.contrib.auth.forms import UserCreationForm
from .models import Tag, clean_tag_string, AuditRecord
from django.forms import ModelForm
from members.models import User
from mailinglists.models import Mailinglist, Subscription
from unknowntags.models import Unknowntag
import re
class... | from django import forms
from django.contrib.auth.forms import UserCreationForm
from .models import Tag, clean_tag_string, AuditRecord
from django.forms import ModelForm
from members.models import User
from mailinglists.models import Mailinglist, Subscription
from unknowntags.models import Unknowntag
import re
class... | none | 1 | 2.141053 | 2 | |
Day 07 - The Treachery of Whales/part1-solution.py | CapOfCave/adventofcode-2021 | 0 | 6629341 | <gh_stars>0
def calc_score(crabs, i):
return sum([abs(c - i) for c in crabs])
with open('./input.txt') as input:
crabs = [int(s) for s in input.readline().split(',')]
best_score = max(crabs) * len(crabs)
for test in range(max(crabs)):
new_score = calc_score(crabs, test)
if (new_score... | def calc_score(crabs, i):
return sum([abs(c - i) for c in crabs])
with open('./input.txt') as input:
crabs = [int(s) for s in input.readline().split(',')]
best_score = max(crabs) * len(crabs)
for test in range(max(crabs)):
new_score = calc_score(crabs, test)
if (new_score < best_score... | en | 0.893625 | # it only gets worse from here # 355592 | 3.575686 | 4 |
plugins/filetime_from_git/git_wrapper.py | likev/gauravssnl.github.io | 5 | 6629342 | <filename>plugins/filetime_from_git/git_wrapper.py
# -*- coding: utf-8 -*-
"""
Wrap python git interface for compatibility with older/newer version
"""
try:
from itertools import zip_longest
except ImportError:
from six.moves import zip_longest
import logging
import os
from time import mktime
from datetime impo... | <filename>plugins/filetime_from_git/git_wrapper.py
# -*- coding: utf-8 -*-
"""
Wrap python git interface for compatibility with older/newer version
"""
try:
from itertools import zip_longest
except ImportError:
from six.moves import zip_longest
import logging
import os
from time import mktime
from datetime impo... | en | 0.873738 | # -*- coding: utf-8 -*- Wrap python git interface for compatibility with older/newer version Collect data into fixed-length chunks or blocks # grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx Wrap git module to provide a more stable interface across versions :param path: Path to check :returns: True if path is manage... | 2.217548 | 2 |
cmdix/command/cat.py | jaraco/pycoreutils | 18 | 6629343 | import sys
import itertools
from .. import lib
def parseargs(p):
"""
Add arguments and `func` to `p`.
:param p: ArgumentParser
:return: ArgumentParser
"""
p.set_defaults(func=func)
p.description = "Concatenate FILE(s), or standard input, " + "to standard output."
p.epilog = (
... | import sys
import itertools
from .. import lib
def parseargs(p):
"""
Add arguments and `func` to `p`.
:param p: ArgumentParser
:return: ArgumentParser
"""
p.set_defaults(func=func)
p.description = "Concatenate FILE(s), or standard input, " + "to standard output."
p.epilog = (
... | es | 0.08582 | Add arguments and `func` to `p`. :param p: ArgumentParser :return: ArgumentParser | 3.273536 | 3 |
python/oneibl/tests/test_one_tutorial.py | GaelleChapuis/ibllib | 0 | 6629344 | import oneibl.examples.tutorial_script
print(oneibl.examples.tutorial_script)
| import oneibl.examples.tutorial_script
print(oneibl.examples.tutorial_script)
| none | 1 | 1.103005 | 1 | |
packs/trello/sensors/list_actions_sensor.py | userlocalhost2000/st2contrib | 164 | 6629345 | <reponame>userlocalhost2000/st2contrib<gh_stars>100-1000
import dateutil.parser
from trello import TrelloClient
from st2reactor.sensor.base import PollingSensor
class TrelloListSensor(PollingSensor):
"""
Sensor which monitors Trello list for a new actions (events).
For reference see Trello API Docs:
... | import dateutil.parser
from trello import TrelloClient
from st2reactor.sensor.base import PollingSensor
class TrelloListSensor(PollingSensor):
"""
Sensor which monitors Trello list for a new actions (events).
For reference see Trello API Docs:
https://trello.com/docs/api/list/index.html#get-1-lists-i... | en | 0.68544 | Sensor which monitors Trello list for a new actions (events). For reference see Trello API Docs: https://trello.com/docs/api/list/index.html#get-1-lists-idlist-actions Set defaults and validate YAML config metadata. Run the sensor initialization / setup code (if any). Iterate through all Trello lists from sens... | 2.914999 | 3 |
client.py | mjsir911/py-piemessage | 0 | 6629346 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import uuid
import socket
import time
__appname__ = "pymessage"
__author__ = "<NAME>, <NAME>"
__copyright__ = ""
__credits__ = "<NAME>, <NAME>"
__license__ = "new BSD 3-Clause"
__version__ = "0.0.3"
__maintainers__ = "<NAME>, <NAME>"
__email__ ... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import uuid
import socket
import time
__appname__ = "pymessage"
__author__ = "<NAME>, <NAME>"
__copyright__ = ""
__credits__ = "<NAME>, <NAME>"
__license__ = "new BSD 3-Clause"
__version__ = "0.0.3"
__maintainers__ = "<NAME>, <NAME>"
__email__ ... | en | 0.510271 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- # ik this is such BAD CODE # contents = "latest guid +5: {}".format(lguid + '5') # low byte count for whatever reason #print('mes rec: {}'.format(msg)) | 2.301695 | 2 |
aries_cloudagent/commands/tests/test_start.py | VersesGitHub/aries-cloudagent-python | 1 | 6629347 | import sys
from asynctest import TestCase as AsyncTestCase
from asynctest import mock as async_mock
from ...config.error import ArgsParseError
from .. import start as test_module
class TestStart(AsyncTestCase):
def test_bad_args(self):
with self.assertRaises(ArgsParseError):
test_module.exec... | import sys
from asynctest import TestCase as AsyncTestCase
from asynctest import mock as async_mock
from ...config.error import ArgsParseError
from .. import start as test_module
class TestStart(AsyncTestCase):
def test_bad_args(self):
with self.assertRaises(ArgsParseError):
test_module.exec... | en | 0.676316 | # exec partial # exec partial | 2.314826 | 2 |
userbot/modules/animasi2.py | Yansaii/Bdrl-Ubot | 0 | 6629348 | <reponame>Yansaii/Bdrl-Ubot
from time import sleep
from userbot import CMD_HELP
from userbot.events import register
@register(outgoing=True, pattern='^.sadboy(?: |$)(.*)')
async def typewriter(typew):
typew.pattern_match.group(1)
sleep(2)
await typew.edit("`Pertama-tama kamu cantik`")
sleep(2)
awa... | from time import sleep
from userbot import CMD_HELP
from userbot.events import register
@register(outgoing=True, pattern='^.sadboy(?: |$)(.*)')
async def typewriter(typew):
typew.pattern_match.group(1)
sleep(2)
await typew.edit("`Pertama-tama kamu cantik`")
sleep(2)
await typew.edit("`Kedua kamu m... | en | 0.892644 | # Create by myself @localheart # Create by myself @localheart # Create by myself @localheart | 2.457355 | 2 |
adv/berserker.py | pfleg/dl | 0 | 6629349 | from core.advbase import *
from slot.a import *
from slot.d import *
def module():
return Berserker
class Berserker(Adv):
a3 = ('lo',0.3)
conf = {}
conf['slots.a'] = The_Shining_Overlord()+Primal_Crisis()
conf['slots.poison.a'] = The_Shining_Overlord()+Primal_Crisis()
conf['acl'] = """
... | from core.advbase import *
from slot.a import *
from slot.d import *
def module():
return Berserker
class Berserker(Adv):
a3 = ('lo',0.3)
conf = {}
conf['slots.a'] = The_Shining_Overlord()+Primal_Crisis()
conf['slots.poison.a'] = The_Shining_Overlord()+Primal_Crisis()
conf['acl'] = """
... | en | 0.392334 | `dragon.act('c3 s end'),fsc `s3, not self.s3_buff and fsc `s4 `s1,fsc `fs, x=3 | 2.000803 | 2 |
lab_5/25.py | Mmalikov1337/python_labs | 0 | 6629350 | a = int(input('Enter number: '))
n = int(input('Enter degree: '))
a1 = a
for k in range (n - 1):
a *= a1
print (a) | a = int(input('Enter number: '))
n = int(input('Enter degree: '))
a1 = a
for k in range (n - 1):
a *= a1
print (a) | none | 1 | 3.942759 | 4 |