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 |
|---|---|---|---|---|---|---|---|---|---|---|
fixWL_trainData.py | jbhunter804/NBANeural | 0 | 6623451 | <reponame>jbhunter804/NBANeural<filename>fixWL_trainData.py
#!/usr/bin/python
import csv
import random
import numpy as np
import pandas as pd
##inFile has meta data on where last cut off due to server issues. Will resume collecting there###
inFile = "testtrainData.csv"
iTrainFile = open(inFile,... | #!/usr/bin/python
import csv
import random
import numpy as np
import pandas as pd
##inFile has meta data on where last cut off due to server issues. Will resume collecting there###
inFile = "testtrainData.csv"
iTrainFile = open(inFile, "r")
readerTrain = csv.reader(iTrainFile, delimiter=',', qu... | en | 0.670433 | #!/usr/bin/python ##inFile has meta data on where last cut off due to server issues. Will resume collecting there### ################################# # readerTrain[0] = headers # readerTrain[row][0] = gameid # readerTrain[row][1] = homeWin # readerTrain[row][2] = team1 score # readerTrain[row][3] = team2 score # reade... | 2.878303 | 3 |
vk_bot.py | KirillYabl/quiz_bot | 0 | 6623452 | <gh_stars>0
import random
import logging
import os
import json
import dotenv
import vk_api as vk
from vk_api.longpoll import VkLongPoll, VkEventType
from vk_api.keyboard import VkKeyboard, VkKeyboardColor
import redis
from common_functions import is_correct_answer, normalize_answer
logger = logging.getLogger(__name_... | import random
import logging
import os
import json
import dotenv
import vk_api as vk
from vk_api.longpoll import VkLongPoll, VkEventType
from vk_api.keyboard import VkKeyboard, VkKeyboardColor
import redis
from common_functions import is_correct_answer, normalize_answer
logger = logging.getLogger(__name__)
class V... | en | 0.864452 | User DB in Redis. Usage: For queries economy purpose 1. ALWAYS get user_info 2. Do other operations :param redis_db: object of connection redis db :param name_of_hash: str, name of your hash in redis # Template of info about new user # Is user got question # text of question # text... | 2.540582 | 3 |
scripts/train_resnet_covidx.py | probayes/covid19xray | 3 | 6623453 | from pycovid19xray.utils import configure_logging, set_gpu
configure_logging()
# set_gpu(1)
import torch
from pycovid19xray.fastai import FastaiModel, show_metrics
from pycovid19xray.tests import DATA_DIR
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
import fastai.vision as fv
... | from pycovid19xray.utils import configure_logging, set_gpu
configure_logging()
# set_gpu(1)
import torch
from pycovid19xray.fastai import FastaiModel, show_metrics
from pycovid19xray.tests import DATA_DIR
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
import fastai.vision as fv
... | en | 0.506395 | # set_gpu(1) # show a grid ####### # model # w = torch.cuda.FloatTensor([1., 1., 6.]) # learn = fastaimodel.create_learner(data, loss_func=torch.nn.CrossEntropyLoss(weight=w)) # eval on evaluation dataset # show metrics # unfreeze and fine tune # eval on evaluation dataset | 2.228893 | 2 |
configutilities/configutilities/configutilities/common/wrs_ico.py | etaivan/stx-config | 0 | 6623454 | <reponame>etaivan/stx-config<filename>configutilities/configutilities/configutilities/common/wrs_ico.py
# ----------------------------------------------------------------------
# This file was generated by img2py.py
#
#
# Copyright (c) 2015-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
#
# S... | # ----------------------------------------------------------------------
# This file was generated by img2py.py
#
#
# Copyright (c) 2015-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
#
# Stylized red Wind River 'W' icon
#
from wx.lib.embeddedimage import PyEmbeddedImage
favicon = PyEmbedde... | en | 0.618888 | # ---------------------------------------------------------------------- # This file was generated by img2py.py # # # Copyright (c) 2015-2016 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # # # Stylized red Wind River 'W' icon # | 1.329007 | 1 |
DI2.py | stalei/DIProject | 0 | 6623455 | <reponame>stalei/DIProject
import datetime as dt
import os
import csv
import pandas as pd
import numpy as np
import datetime
import seaborn as sns
from datetime import timedelta, date
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from scipy.stats import chisquare
def FilterDate(Data... | import datetime as dt
import os
import csv
import pandas as pd
import numpy as np
import datetime
import seaborn as sns
from datetime import timedelta, date
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from scipy.stats import chisquare
def FilterDate(Data, DStart, DEnd):
Data['... | en | 0.240516 | #t="+."+title #Data = Data[(Data['ShortTitle'] == t)] #t="+."+title #Data = Data[(Data['ShortTitle'] == t)] #[DataRaw['BOROUGH'] == 'MANHATTAN'].copy() #print(Data['StartDate'].year) #print(Data2) ### Use this for the rest #Data2[['HOUR']].plot.hist() #Data['StartDate']=pd.to_datetime(Data['StartDate'], format="%m/%d/%... | 2.948957 | 3 |
report/report_generator.py | Raed-Mughaus/ICS-503-Assignments | 0 | 6623456 | <filename>report/report_generator.py
from docx import Document
from docx.shared import Inches
from docx.enum.text import WD_BREAK
from report.experiment_files import *
from report.utils import get_descriptive_statistics
import pandas as pd
def _add_page_break(document):
document.add_paragraph().add_run().add_brea... | <filename>report/report_generator.py
from docx import Document
from docx.shared import Inches
from docx.enum.text import WD_BREAK
from report.experiment_files import *
from report.utils import get_descriptive_statistics
import pandas as pd
def _add_page_break(document):
document.add_paragraph().add_run().add_brea... | none | 1 | 2.538377 | 3 | |
assets/containers/prowler_scan_check/app.py | aws-samples/aws-security-hub-analytic-pipeline | 7 | 6623457 | import os
import boto3
from typing import List
import json
import sys
import os
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
class ProwlerScanGroup:
def __init__(self, topic_arn):
self.__topic = boto3.resource('sns').Topic(topic_arn)
self.__region = os.environ['AWS_R... | import os
import boto3
from typing import List
import json
import sys
import os
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
class ProwlerScanGroup:
def __init__(self, topic_arn):
self.__topic = boto3.resource('sns').Topic(topic_arn)
self.__region = os.environ['AWS_R... | none | 1 | 2.055715 | 2 | |
flexneuart/data_convert/wikipedia_dpr/utils.py | gitter-badger/FlexNeuART | 101 | 6623458 | #
# Copyright 2014+ <NAME> University
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | #
# Copyright 2014+ <NAME> University
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | en | 0.831502 | # # Copyright 2014+ <NAME> University # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i... | 2.837778 | 3 |
setup.py | pytdlib/pytdlib | 6 | 6623459 | <reponame>pytdlib/pytdlib<filename>setup.py
"""The setup and build script for the pytdlib library."""
from setuptools import setup, find_packages, Command
from sys import argv
import shutil
import os
import re
from generate.api import generator
if len(argv) > 1 and argv[1] in ["bdist_wheel", "install"]:
generato... | """The setup and build script for the pytdlib library."""
from setuptools import setup, find_packages, Command
from sys import argv
import shutil
import os
import re
from generate.api import generator
if len(argv) > 1 and argv[1] in ["bdist_wheel", "install"]:
generator.start()
with open("README.md", "r", enco... | en | 0.862013 | The setup and build script for the pytdlib library. | 2.115323 | 2 |
vesper/django/manage.py | RichardLitt/Vesper | 29 | 6623460 | #!/usr/bin/env python
# Vesper server administration script.
#
# This script is a simple derivative of the standard Django manage.py script.
import os
import sys
from vesper.archive_settings import archive_settings
from vesper.archive_paths import archive_paths
def main():
args = sys.argv
# We ... | #!/usr/bin/env python
# Vesper server administration script.
#
# This script is a simple derivative of the standard Django manage.py script.
import os
import sys
from vesper.archive_settings import archive_settings
from vesper.archive_paths import archive_paths
def main():
args = sys.argv
# We ... | en | 0.815639 | #!/usr/bin/env python # Vesper server administration script. # # This script is a simple derivative of the standard Django manage.py script. # We did not used to do this, but when we switched to version 3 of # the `conda-build` package the command `vesper_admin runserver` # began failing on Windows (at least, and also ... | 2.199041 | 2 |
carpenter/default_settings.py | stefanw/carpenter | 4 | 6623461 | <reponame>stefanw/carpenter<gh_stars>1-10
import os
DEBUG = True
PROJECT_PATH = os.path.abspath(os.path.dirname(__file__))
STATIC_PATH = os.path.join(PROJECT_PATH, 'static')
MEDIA_PATH = os.path.join(PROJECT_PATH, 'static', 'media')
CELERY_IMPORTS = ("carpenter.tasks", )
| import os
DEBUG = True
PROJECT_PATH = os.path.abspath(os.path.dirname(__file__))
STATIC_PATH = os.path.join(PROJECT_PATH, 'static')
MEDIA_PATH = os.path.join(PROJECT_PATH, 'static', 'media')
CELERY_IMPORTS = ("carpenter.tasks", ) | none | 1 | 1.730468 | 2 | |
app/models/ltr559.py | mygulamali/pi-sensors | 0 | 6623462 | from pydantic import BaseModel
try:
from ltr559 import LTR559 as Sensor
except ImportError:
from mocks import LTR559 as Sensor
class LTR559(BaseModel):
lux: float
proximity: int
@classmethod
def poll(cls, sensor: Sensor) -> "LTR559":
sensor.update_sensor()
return LTR559(lux=s... | from pydantic import BaseModel
try:
from ltr559 import LTR559 as Sensor
except ImportError:
from mocks import LTR559 as Sensor
class LTR559(BaseModel):
lux: float
proximity: int
@classmethod
def poll(cls, sensor: Sensor) -> "LTR559":
sensor.update_sensor()
return LTR559(lux=s... | none | 1 | 2.526833 | 3 | |
app/main.py | Jonathpc/company-flaskapp | 0 | 6623463 | from app import app
from flask import request, render_template, flash, redirect
from app.forms import ContactForm, flash_errors
import os
import smtplib
@app.route("/")
def index():
return render_template("public/index.html")
@app.route("/contact", methods=("GET", "POST"))
def contact():
form = ContactFor... | from app import app
from flask import request, render_template, flash, redirect
from app.forms import ContactForm, flash_errors
import os
import smtplib
@app.route("/")
def index():
return render_template("public/index.html")
@app.route("/contact", methods=("GET", "POST"))
def contact():
form = ContactFor... | none | 1 | 2.756924 | 3 | |
code/4Class-Classification/Natural Images/Baseline_ResNet50.py | mueedhafiz1982/CNNTreeEnsemble | 7 | 6623464 | # -*- coding: utf-8 -*-
"""ResNet50_natimdb_v1.01.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1q2dlcdGadeLlqI9q44EKbUzy-e57Rmls
"""
from google.colab import drive
drive.mount('/content/drive')
#code part 4
img_rows, img_cols = 224, 224 #numb... | # -*- coding: utf-8 -*-
"""ResNet50_natimdb_v1.01.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1q2dlcdGadeLlqI9q44EKbUzy-e57Rmls
"""
from google.colab import drive
drive.mount('/content/drive')
#code part 4
img_rows, img_cols = 224, 224 #numb... | en | 0.496829 | # -*- coding: utf-8 -*- ResNet50_natimdb_v1.01.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1q2dlcdGadeLlqI9q44EKbUzy-e57Rmls #code part 4 #number of rows and columns to convert the images to #format to store the images (rows, columns,channels)... | 3.080584 | 3 |
ALGORITHM/commom/traj.py | Harold0/hmp | 2 | 6623465 | # cython: language_level=3
import numpy as np
from UTILS.colorful import *
from UTILS.tensor_ops import __hash__
class TRAJ_BASE():
key_data_type = {}
key_data_shape = {}
max_mem_length = -1
def __init__(self, traj_limit, env_id):
self.traj_limit = traj_limit
self.env_id = env_id
... | # cython: language_level=3
import numpy as np
from UTILS.colorful import *
from UTILS.tensor_ops import __hash__
class TRAJ_BASE():
key_data_type = {}
key_data_shape = {}
max_mem_length = -1
def __init__(self, traj_limit, env_id):
self.traj_limit = traj_limit
self.env_id = env_id
... | en | 0.699707 | # cython: language_level=3 # remember something in a time step, add it to trajectory # duplicate/rename a trajectory #return origin_handle, new_handle #return # make sure dtype is ok # create track, executed used when a key showing up for the first time in 'self.remember' # key pop up yet content is None, # read dtype ... | 2.016556 | 2 |
rnacentral/portal/models/sequence_regions.py | pythseq/rnacentral-webcode | 21 | 6623466 | """
Copyright [2009-2018] EMBL-European Bioinformatics Institute
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... | """
Copyright [2009-2018] EMBL-European Bioinformatics Institute
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... | en | 0.833717 | Copyright [2009-2018] EMBL-European Bioinformatics Institute 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 ... | 1.661153 | 2 |
Project-1/src/utils.py | TooSchoolForCool/EE219-Larger-Scale-Data-Mining | 0 | 6623467 | from sklearn.metrics import roc_curve
import matplotlib.pyplot as plt
import numpy as np
# plot histogram based on the number of documents in each topic
# in the dateset
def plotHist(dataset):
categories = dataset.getAllCategories()
y_pos = np.arange( len(categories) )
counter = dataset.getCategorySize()
... | from sklearn.metrics import roc_curve
import matplotlib.pyplot as plt
import numpy as np
# plot histogram based on the number of documents in each topic
# in the dateset
def plotHist(dataset):
categories = dataset.getAllCategories()
y_pos = np.arange( len(categories) )
counter = dataset.getCategorySize()
... | de | 0.520979 | # plot histogram based on the number of documents in each topic # in the dateset # change figure size # fig_size = fig.get_size_inches() # fig.set_size_inches(fig_size[0] * 1.5, fig_size[1], forward=True) # size figure in local directory # fig.savefig('foo.png', bbox_inches='tight') ####################################... | 2.828347 | 3 |
MindLink-Eumpy/test/__init__.py | Breeze1in1drizzle/MindLink-Exploring | 7 | 6623468 | import numpy as np
if __name__ == "__main__":
x = np.load('EEG.npy')
print(x.shape)
y = np.load('EEG_1.npy')
print(y.shape)
| import numpy as np
if __name__ == "__main__":
x = np.load('EEG.npy')
print(x.shape)
y = np.load('EEG_1.npy')
print(y.shape)
| none | 1 | 1.899042 | 2 | |
Python/main.py | AsceDusk/PyJSON | 0 | 6623469 | import sys
from PyQt5.QtWidgets import QApplication, QLabel, QMainWindow
from PyQt5.QtCore import Qt
class MainWindow(QMainWindow):
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
self.setWindowTitle("My First Python Application")
label = QLabel("Th... | import sys
from PyQt5.QtWidgets import QApplication, QLabel, QMainWindow
from PyQt5.QtCore import Qt
class MainWindow(QMainWindow):
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
self.setWindowTitle("My First Python Application")
label = QLabel("Th... | en | 0.74689 | # IMPORTANT!!!!! Windows are hidden by default. # Start the event loop. | 3.415507 | 3 |
henon_map/__init__.py | carlidel/c_henon_map | 0 | 6623470 | import matplotlib.pyplot as plt
from numba import cuda, jit, njit, prange
import numpy as np
from tqdm import tqdm
import pickle
import time
from . import gpu_henon_core as gpu
from . import cpu_henon_core as cpu
from .cpu_henon_core import recursive_accumulation as cpu_accumulate_and_return
def polar_to... | import matplotlib.pyplot as plt
from numba import cuda, jit, njit, prange
import numpy as np
from tqdm import tqdm
import pickle
import time
from . import gpu_henon_core as gpu
from . import cpu_henon_core as cpu
from .cpu_henon_core import recursive_accumulation as cpu_accumulate_and_return
def polar_to... | en | 0.655203 | Generates a modulation
Parameters
----------
epsilon : float
intensity of modulation
n_elements : float
number of elements
first_index : int, optional
starting point of the modulation, by default 0
Returns
-------
tuple of ndarray
(... | 2.285385 | 2 |
_doc/sphinxdoc/source/conf.py | sdpython/manyapi | 1 | 6623471 | <gh_stars>1-10
# -*- coding: utf-8 -*-
import sys
import os
import alabaster
from pyquickhelper.helpgen.default_conf import set_sphinx_variables
sys.path.insert(0, os.path.abspath(os.path.join(os.path.split(__file__)[0])))
set_sphinx_variables(__file__, "manydataapi", "<NAME>", 2021,
"alabaster",... | # -*- coding: utf-8 -*-
import sys
import os
import alabaster
from pyquickhelper.helpgen.default_conf import set_sphinx_variables
sys.path.insert(0, os.path.abspath(os.path.join(os.path.split(__file__)[0])))
set_sphinx_variables(__file__, "manydataapi", "<NAME>", 2021,
"alabaster", alabaster.get_... | en | 0.769321 | # -*- coding: utf-8 -*- | 1.482055 | 1 |
Chapter05/nlp47.py | gushwell/PythonNLP100 | 2 | 6623472 | import re
import functools
class Morph:
def __init__(self, surface, base, pos, pos1):
self.surface = surface
self.base = base
self.pos = pos
self.pos1 = pos1
def toList(self):
return [self.surface, self.base, self.pos, self.pos1]
class Chunk:
def __init__(self, num... | import re
import functools
class Morph:
def __init__(self, surface, base, pos, pos1):
self.surface = surface
self.base = base
self.pos = pos
self.pos1 = pos1
def toList(self):
return [self.surface, self.base, self.pos, self.pos1]
class Chunk:
def __init__(self, num... | none | 1 | 2.948699 | 3 | |
Python/OneLang/One/Transforms/InferTypesPlugins/NullabilityCheckWithNot.py | onelang/OneLang-CrossCompiled | 2 | 6623473 | from onelang_core import *
import OneLang.One.Transforms.InferTypesPlugins.Helpers.InferTypesPlugin as inferTypesPlug
import OneLang.One.Ast.Expressions as exprs
import OneLang.One.Ast.AstTypes as astTypes
class NullabilityCheckWithNot(inferTypesPlug.InferTypesPlugin):
def __init__(self):
super().__init__(... | from onelang_core import *
import OneLang.One.Transforms.InferTypesPlugins.Helpers.InferTypesPlugin as inferTypesPlug
import OneLang.One.Ast.Expressions as exprs
import OneLang.One.Ast.AstTypes as astTypes
class NullabilityCheckWithNot(inferTypesPlug.InferTypesPlugin):
def __init__(self):
super().__init__(... | none | 1 | 2.17112 | 2 | |
android/app/src/main/python/electroncash_plugins/__init__.py | proteanx/DeLight | 16 | 6623474 | <filename>android/app/src/main/python/electroncash_plugins/__init__.py
# Plugins are not used in the Android app, but various code still expects this package to
# exist.
| <filename>android/app/src/main/python/electroncash_plugins/__init__.py
# Plugins are not used in the Android app, but various code still expects this package to
# exist.
| en | 0.933994 | # Plugins are not used in the Android app, but various code still expects this package to # exist. | 1.284544 | 1 |
fedlab/core/client/scale/trainer.py | SMILELab-FL/FedLab | 171 | 6623475 | # Copyright 2021 Peng Cheng Laboratory (http://www.szpclab.com/) and FedLab Authors (smilelab.group)
# 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/LICEN... | # Copyright 2021 Peng Cheng Laboratory (http://www.szpclab.com/) and FedLab Authors (smilelab.group)
# 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/LICEN... | en | 0.722833 | # Copyright 2021 Peng Cheng Laboratory (http://www.szpclab.com/) and FedLab Authors (smilelab.group) # 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... | 2.044127 | 2 |
numerics/solver.py | gdikov/MNIST_Challenge | 1 | 6623476 | <filename>numerics/solver.py
import numpy as np
class Solver(object):
def __init__(self):
pass
def update(self, x, dx):
pass
class SGD(Solver):
def __init__(self, config=None):
super(SGD, self).__init__()
if config is None:
config = dict()
config['... | <filename>numerics/solver.py
import numpy as np
class Solver(object):
def __init__(self):
pass
def update(self, x, dx):
pass
class SGD(Solver):
def __init__(self, config=None):
super(SGD, self).__init__()
if config is None:
config = dict()
config['... | none | 1 | 3.038327 | 3 | |
src/pdes/wave.py | gelijergensen/Constrained-Neural-Nets-Workbook | 3 | 6623477 | <reponame>gelijergensen/Constrained-Neural-Nets-Workbook
"""Implementation of the wave PDE"""
import numpy as np
import torch
from src.derivatives import jacobian, jacobian_and_laplacian
__all__ = ["helmholtz_equation", "pythagorean_equation"]
def helmholtz_equation(
outputs, inputs, parameterization, return_d... | """Implementation of the wave PDE"""
import numpy as np
import torch
from src.derivatives import jacobian, jacobian_and_laplacian
__all__ = ["helmholtz_equation", "pythagorean_equation"]
def helmholtz_equation(
outputs, inputs, parameterization, return_diagnostics=False
):
"""Computes the Helmholtz equatio... | en | 0.676683 | Implementation of the wave PDE Computes the Helmholtz equation (time independent wave equation) value, given the model inputs, outputs, and paramerization of the wave :param outputs: output of some network :param inputs: inputs to some network :param parameterization: parameterization of the PDE w... | 3.409109 | 3 |
tests/data/annotation_types/classification/test_classification.py | nickaustinlee/labelbox-python | 0 | 6623478 | import pytest
from pydantic import ValidationError
from labelbox.data.annotation_types import (Checklist, ClassificationAnswer,
Dropdown, Radio, Text,
ClassificationAnnotation)
def test_classification_answer():
with pytest.ra... | import pytest
from pydantic import ValidationError
from labelbox.data.annotation_types import (Checklist, ClassificationAnswer,
Dropdown, Radio, Text,
ClassificationAnnotation)
def test_classification_answer():
with pytest.ra... | en | 0.836949 | # Should have feature schema info | 2.640284 | 3 |
encoder_ui/app.py | hidnoiz/encoder_ui | 0 | 6623479 | <reponame>hidnoiz/encoder_ui
from flask import Flask
from werkzeug.debug import DebuggedApplication
from celery import Celery
from encoder_ui.api import blueprint_api
from encoder_ui.web import blueprint_web
CELERY_TASK_LIST = [
'encoder_ui.celery.discovery.tasks'
]
def create_celery_app(app=None):
app = app... | from flask import Flask
from werkzeug.debug import DebuggedApplication
from celery import Celery
from encoder_ui.api import blueprint_api
from encoder_ui.web import blueprint_web
CELERY_TASK_LIST = [
'encoder_ui.celery.discovery.tasks'
]
def create_celery_app(app=None):
app = app or create_app()
celery ... | en | 0.583428 | Create a Flask application using the app factory pattern. :param settings_override: Override settings :return: Flask app | 2.232972 | 2 |
dev/torch/nn/functional/linear.py | Jintao-Huang/torch_study | 4 | 6623480 | <reponame>Jintao-Huang/torch_study<filename>dev/torch/nn/functional/linear.py
# Author: <NAME>
# Email: <EMAIL>
# Date:
import torch
from torch import Tensor
"""
- 矩阵乘时间复杂度: e.g. [A, B] @ [B, C]. Ot(ABC)
- linear时间复杂度: Ot(N*In*Out)
"""
def linear(input: Tensor, weight: Tensor, bias: Tensor = None) -> Tensor:
""... | # Author: <NAME>
# Email: <EMAIL>
# Date:
import torch
from torch import Tensor
"""
- 矩阵乘时间复杂度: e.g. [A, B] @ [B, C]. Ot(ABC)
- linear时间复杂度: Ot(N*In*Out)
"""
def linear(input: Tensor, weight: Tensor, bias: Tensor = None) -> Tensor:
"""
:param input: shape[N, In]
:param weight: shape[Out, In]
:param... | en | 0.440463 | # Author: <NAME> # Email: <EMAIL> # Date: - 矩阵乘时间复杂度: e.g. [A, B] @ [B, C]. Ot(ABC) - linear时间复杂度: Ot(N*In*Out) :param input: shape[N, In] :param weight: shape[Out, In] :param bias: shape[Out] :return: shape[N, Out] # # Ot(N*In*Out) # Ot(N*Out) | 2.972944 | 3 |
wine_informatics/knn_algorithm/knn_algorithm.py | Williano/Data-Mining | 0 | 6623481 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, cross_val_score, \
GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import classification_report, confusion_matrix, \
... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, cross_val_score, \
GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import classification_report, confusion_matrix, \
... | en | 0.352801 | # dataset = shuffled_data.iloc[:, : 485].values # dataset = shuffled_data.iloc[:, : 482].values # error = [] # # Calculating error for K values between 1 and 40 # for i in range(1, 100): # knn = KNeighborsClassifier(n_neighbors=i) # knn.fit(X_train, y_train) # pred_i = knn.predict(X_test) # error.append... | 3.118694 | 3 |
match.py | mbardoeChoate/FRC-Monkey-Poll | 0 | 6623482 | <filename>match.py
import random
from math import exp
import constants
class Match(object):
def __init__(self, A_teams, B_teams, score):
self.A_teams=A_teams # a list of A teams
self.B_teams=B_teams # a list of B teams
self.score=score # the score with A teams first and B teams second
... | <filename>match.py
import random
from math import exp
import constants
class Match(object):
def __init__(self, A_teams, B_teams, score):
self.A_teams=A_teams # a list of A teams
self.B_teams=B_teams # a list of B teams
self.score=score # the score with A teams first and B teams second
... | en | 0.923385 | # a list of A teams # a list of B teams # the score with A teams first and B teams second # Choose the team to go with | 3.215963 | 3 |
src/lib/email/__init__.py | timmartin/skulpt | 10 | 6623483 | raise NotImplementedError("email is not yet implemented in Skulpt")
| raise NotImplementedError("email is not yet implemented in Skulpt")
| none | 1 | 1.158674 | 1 | |
tests/cameraUp.py | mshafiei/cvutils | 2 | 6623484 | #This script renders input data for Deep Reflectance Volume
import cvgutils.Mitsuba2XML as mts
import cvgutils.Image as im
import cvgutils.Linalg as lin
import cvgutils.Dir as dr
import cvgutils.Utils as util
import cv2
import numpy as np
import torch
import os
from scipy.interpolate import interp1d
def randomPathSph... | #This script renders input data for Deep Reflectance Volume
import cvgutils.Mitsuba2XML as mts
import cvgutils.Image as im
import cvgutils.Linalg as lin
import cvgutils.Dir as dr
import cvgutils.Utils as util
import cv2
import numpy as np
import torch
import os
from scipy.interpolate import interp1d
def randomPathSph... | en | 0.607781 | #This script renders input data for Deep Reflectance Volume [Given parameers of a 1d path returns phi, theta on that path] Args: x ([ndarray]): [path parameters] Returns: [tuple]: [points on the path on a sphere] [Given parameers of a 1d path returns phi, theta on that path] ... | 2.31959 | 2 |
utils/formatters.py | bijij/yert | 0 | 6623485 | """
MIT License
Copyright (c) 2020 - µYert
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distr... | """
MIT License
Copyright (c) 2020 - µYert
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distr... | en | 0.738834 | MIT License Copyright (c) 2020 - µYert Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribut... | 2.047321 | 2 |
imager.py | johnnyc2/FOS_View | 2 | 6623486 | <reponame>johnnyc2/FOS_View<gh_stars>1-10
#!/usr/bin/env python
import argparse
from fosfile import Vault
from PIL import Image, ImageDraw
def getCoordinates(col, row, width, config):
x1 = col * (config['roomWidth'] + config['roomSpaceX']) + config['roomOffsetX']
x2 = x1 + width * (config['roomWidth'] + confi... | #!/usr/bin/env python
import argparse
from fosfile import Vault
from PIL import Image, ImageDraw
def getCoordinates(col, row, width, config):
x1 = col * (config['roomWidth'] + config['roomSpaceX']) + config['roomOffsetX']
x2 = x1 + width * (config['roomWidth'] + config['roomSpaceX']) - config['roomSpaceX']
... | ru | 0.26433 | #!/usr/bin/env python | 3.046979 | 3 |
Problems/Binary_Tree/vertical_sum.py | MayaScarlet/python-dsa | 0 | 6623487 | <filename>Problems/Binary_Tree/vertical_sum.py<gh_stars>0
"""
Given a binary tree, the print vertical sum of it.
Assume the left and right child of a node makes a 45–degree angle with the parent.
"""
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
... | <filename>Problems/Binary_Tree/vertical_sum.py<gh_stars>0
"""
Given a binary tree, the print vertical sum of it.
Assume the left and right child of a node makes a 45–degree angle with the parent.
"""
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
... | en | 0.861352 | Given a binary tree, the print vertical sum of it. Assume the left and right child of a node makes a 45–degree angle with the parent. | 3.950415 | 4 |
community_profiles/datasets/septa.py | nickhand/community-profiles | 0 | 6623488 | import esri2gpd
import geopandas as gpd
from . import EPSG
from .core import Dataset, geocode
from .regions import *
__all__ = ["RegionalRail", "SubwayBroadSt", "SubwayMFL", "Bus"]
class RegionalRail(Dataset):
"""
Spring 2018 Regional Rail Rail Lines with Ridership. Route ridership and
revenue informatio... | import esri2gpd
import geopandas as gpd
from . import EPSG
from .core import Dataset, geocode
from .regions import *
__all__ = ["RegionalRail", "SubwayBroadSt", "SubwayMFL", "Bus"]
class RegionalRail(Dataset):
"""
Spring 2018 Regional Rail Rail Lines with Ridership. Route ridership and
revenue informatio... | en | 0.816748 | Spring 2018 Regional Rail Rail Lines with Ridership. Route ridership and revenue information is from FY2017. Data is from SEPTA's Revenue & Ridership Department. Source ------ http://septaopendata-septa.opendata.arcgis.com/datasets/septa-regional-rail-lines Spring 2018 Broad Street Line with Riders... | 2.64485 | 3 |
yann/utils/tensor.py | michalwols/yann | 32 | 6623489 | import torch
def weighted_sum(tensors, weights):
if len(tensors) < 2:
raise ValueError('must pass at least 2 tensors')
s = tensors[0] * weights[0]
for t, w in zip(tensors[1:], weights[1:]):
s.add_(w, t)
return s
def one_hot(targets: torch.Tensor, num_classes=None, device=None, dtype=None, normalize=F... | import torch
def weighted_sum(tensors, weights):
if len(tensors) < 2:
raise ValueError('must pass at least 2 tensors')
s = tensors[0] * weights[0]
for t, w in zip(tensors[1:], weights[1:]):
s.add_(w, t)
return s
def one_hot(targets: torch.Tensor, num_classes=None, device=None, dtype=None, normalize=F... | none | 1 | 2.664646 | 3 | |
sandy-disaster-recovery/aws.py | toddjcrane/crisiscleanup-legacy | 1 | 6623490 | <gh_stars>1-10
"""
Amazon Web Services API
Rationale: the standard boto library throws errors on GAE, seemingly due to
google.appengine.api.urlfetch
"""
import logging
from time import mktime
import datetime
from wsgiref.handlers import format_date_time
import hmac
import hashlib
import base64
from xml.etree import ... | """
Amazon Web Services API
Rationale: the standard boto library throws errors on GAE, seemingly due to
google.appengine.api.urlfetch
"""
import logging
from time import mktime
import datetime
from wsgiref.handlers import format_date_time
import hmac
import hashlib
import base64
from xml.etree import ElementTree
fro... | en | 0.71757 | Amazon Web Services API Rationale: the standard boto library throws errors on GAE, seemingly due to google.appengine.api.urlfetch # construct multipart email # post to AWS SES | 2.360312 | 2 |
test/test_setup.py | ccarouge/payu | 5 | 6623491 | <reponame>ccarouge/payu<gh_stars>1-10
import copy
import os
from pathlib import Path
import pdb
import pytest
import shutil
import yaml
import payu
import payu.models.test
from .common import cd, make_random_file, get_manifests
from .common import tmpdir, ctrldir, labdir, workdir
from .common import sweep_work, payu_... | import copy
import os
from pathlib import Path
import pdb
import pytest
import shutil
import yaml
import payu
import payu.models.test
from .common import cd, make_random_file, get_manifests
from .common import tmpdir, ctrldir, labdir, workdir
from .common import sweep_work, payu_init, payu_setup
from .common import c... | en | 0.902579 | Create files required for test model Put any test-wide setup code in here, e.g. creating test files # Should be taken care of by teardown, in case remnants lying around Put any test-wide teardown code in here, e.g. removing test outputs # shutil.rmtree(tmpdir) # These are integration tests. They have an undesirable dep... | 2.308729 | 2 |
user/serializers.py | MrNewaz/Coding-Assignment | 0 | 6623492 | from rest_framework import serializers
from .models import *
# Parent Serializer (for the Parent model)
class ParentSerializer(serializers.ModelSerializer):
class Meta:
model = Parent
fields = '__all__'
# Child Serializer (for the Child model)
class ChildSerializer(serializers.ModelSerializer)... | from rest_framework import serializers
from .models import *
# Parent Serializer (for the Parent model)
class ParentSerializer(serializers.ModelSerializer):
class Meta:
model = Parent
fields = '__all__'
# Child Serializer (for the Child model)
class ChildSerializer(serializers.ModelSerializer)... | en | 0.716032 | # Parent Serializer (for the Parent model) # Child Serializer (for the Child model) | 2.168593 | 2 |
verify/checker/abc218/b.py | naskya/testcase-generator | 4 | 6623493 | <gh_stars>1-10
def main() -> None:
P = list(map(int, input().split()))
P.sort()
assert len(P) == 26
assert P == list(range(1, 26 + 1))
if __name__ == '__main__':
main()
| def main() -> None:
P = list(map(int, input().split()))
P.sort()
assert len(P) == 26
assert P == list(range(1, 26 + 1))
if __name__ == '__main__':
main() | none | 1 | 2.65079 | 3 | |
api-dev/venv/lib/python3.6/site-packages/web3/_utils/personal.py | twaddle-dev/CoVid-19 | 0 | 6623494 | from typing import (
Any,
Callable,
Dict,
List,
Optional,
)
from eth_typing import (
ChecksumAddress,
HexStr,
)
from hexbytes import (
HexBytes,
)
from web3._utils.compat import (
Protocol,
)
from web3._utils.rpc_abi import (
RPC,
)
from web3.method import (
Method,
def... | from typing import (
Any,
Callable,
Dict,
List,
Optional,
)
from eth_typing import (
ChecksumAddress,
HexStr,
)
from hexbytes import (
HexBytes,
)
from web3._utils.compat import (
Protocol,
)
from web3._utils.rpc_abi import (
RPC,
)
from web3.method import (
Method,
def... | none | 1 | 1.871402 | 2 | |
postpost/api/filters.py | PiterPy-Meetup/postpost | 6 | 6623495 | from django_filters import rest_framework as filters
from api import models
class PublicationFilterSet(filters.FilterSet):
"""
Uses for filtering in publication-list endpoint by query-string.
"""
# scheduled=false is equivalent to scheduled_at__isnull=True
scheduled = filters.BooleanFilter(
... | from django_filters import rest_framework as filters
from api import models
class PublicationFilterSet(filters.FilterSet):
"""
Uses for filtering in publication-list endpoint by query-string.
"""
# scheduled=false is equivalent to scheduled_at__isnull=True
scheduled = filters.BooleanFilter(
... | en | 0.762258 | Uses for filtering in publication-list endpoint by query-string. # scheduled=false is equivalent to scheduled_at__isnull=True # If you want change this filtering, first read comment # for PlatformPost.PLATFORM_TYPES | 2.264413 | 2 |
netpyntest_lib/api.py | aespinosaalvarez/NetPyntest | 1 | 6623496 | # -*- coding: utf-8 -*-
"""
This file contains API calls and Data
"""
import six
from sys import path
from termcolor import colored
from os import geteuid
from os import path
from .data import *
__version__ = "1.0.0"
__all__ = ["run_console", "run", "GlobalParameters"]
# -----------------------------------------... | # -*- coding: utf-8 -*-
"""
This file contains API calls and Data
"""
import six
from sys import path
from termcolor import colored
from os import geteuid
from os import path
from .data import *
__version__ = "1.0.0"
__all__ = ["run_console", "run", "GlobalParameters"]
# -----------------------------------------... | en | 0.24038 | # -*- coding: utf-8 -*- This file contains API calls and Data # -------------------------------------------------------------------------- # # Command line options # # -------------------------------------------------------------------------- :param config: GlobalParameters option instance :type config: `GlobalPara... | 2.561464 | 3 |
popularshots/conf/settings.py | gustavohenrique/dribbble-popular-shots | 1 | 6623497 | import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
SECRET_KEY = '<KEY>'
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = ['*']
INSTALLED_APPS = (
'admin_bootstrap',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'djan... | import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
SECRET_KEY = '<KEY>'
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = ['*']
INSTALLED_APPS = (
'admin_bootstrap',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'djan... | en | 0.112173 | # 'django.middleware.csrf.CsrfViewMiddleware', #'TEST_NAME': os.path.join(os.path.dirname(__file__), 'test.db'), | 1.646654 | 2 |
trains/models.py | llamicron/old_trains | 0 | 6623498 | <reponame>llamicron/old_trains
"""
Stores database models
"""
import os
import sys
from peewee import *
try:
from trains.db import db
except ImportError:
from db import db
class Volunteer(Model):
bsa_id = CharField()
first_name = CharField()
last_name = CharField()
email = CharField()
di... | """
Stores database models
"""
import os
import sys
from peewee import *
try:
from trains.db import db
except ImportError:
from db import db
class Volunteer(Model):
bsa_id = CharField()
first_name = CharField()
last_name = CharField()
email = CharField()
district = CharField()
counci... | en | 0.867341 | Stores database models Pulls data from CSV source file and writes Volunteer models to db # Dictionary of volunteer data # Read from csv like on Volunteer # Read from csv like on Volunteer # Training.populate() # Role.populate() | 3.17448 | 3 |
adi_study_watch/jenkins/zip_gen.py | ArrowElectronics/Vital-Signs-Monitoring | 5 | 6623499 | <reponame>ArrowElectronics/Vital-Signs-Monitoring<filename>adi_study_watch/jenkins/zip_gen.py
import os
import shutil
import time
import comtypes.client
#from docx2pdf import convert
src_path = os.path.abspath(os.path.join(__file__, '../../'))
dest_path = r'zip_gen_tmp/adi_study_watch'
excludes_file_path = os.path.joi... | import os
import shutil
import time
import comtypes.client
#from docx2pdf import convert
src_path = os.path.abspath(os.path.join(__file__, '../../'))
dest_path = r'zip_gen_tmp/adi_study_watch'
excludes_file_path = os.path.join(src_path, 'jenkins', 'zip_gen_excludes.txt')
def copy_repo_package():
shutil.copytree(... | en | 0.286936 | #from docx2pdf import convert #convert(doc_file_path) <file file_name="../../../utilities/tracealyser/trace_recorder/streamports/Jlink_RTT/SEGGER_RTT_tracealyser.c"> <configuration Name="Debug" build_exclude_from_build="Yes" /> <configuration Name="Release" build_exclude_from_build="Yes" /> ... | 2.559565 | 3 |
setup.py | xando/django-modelhistory | 1 | 6623500 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from modelhistory import VERSION
long_description = """Simple model logging helper for django projects. Covers functionality of discovering action taken on object: DELETE, UPDATE, CREATE and creates and saves suitable message to database. Supports si... | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from modelhistory import VERSION
long_description = """Simple model logging helper for django projects. Covers functionality of discovering action taken on object: DELETE, UPDATE, CREATE and creates and saves suitable message to database. Supports si... | en | 0.855606 | # -*- coding: utf-8 -*- Simple model logging helper for django projects. Covers functionality of discovering action taken on object: DELETE, UPDATE, CREATE and creates and saves suitable message to database. Supports simple db.models.Models objects as well as forms, formset and inlineformset based on Django ORM Models. | 1.852275 | 2 |
amalia/archetypes/TimeSeriesArchetype.py | Aganonce/AMALIA-lite | 0 | 6623501 | import logging
logger = logging.getLogger(__name__.split('.')[-1])
import sys
import itertools
import numpy as np
import pandas as pd
import scipy.sparse as ss
import tools.Cache as Cache
class TimeSeriesArchetype:
'''
Time series archetype generates a sparse matrix representation
of user time series w... | import logging
logger = logging.getLogger(__name__.split('.')[-1])
import sys
import itertools
import numpy as np
import pandas as pd
import scipy.sparse as ss
import tools.Cache as Cache
class TimeSeriesArchetype:
'''
Time series archetype generates a sparse matrix representation
of user time series w... | en | 0.847996 | Time series archetype generates a sparse matrix representation of user time series within primary dataframes. Each time series is created by binning activity within some time delta. Parameters ---------- time_delta : int (default : 86400) The time range (in seconds) to bin activity togethe... | 2.641551 | 3 |
application/product/models.py | riihikallio/tsoha | 0 | 6623502 | from application import db
from application.models import Base
class Product(Base):
number = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(144), nullable=False)
unit = db.Column(db.String(10), nullable=False)
price = db.Column(db.Float(), nullable=False)
category = db.Column(d... | from application import db
from application.models import Base
class Product(Base):
number = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(144), nullable=False)
unit = db.Column(db.String(10), nullable=False)
price = db.Column(db.Float(), nullable=False)
category = db.Column(d... | none | 1 | 2.731282 | 3 | |
active_learning_lab/data/embeddings.py | webis-de/acl22-revisiting-uncertainty-based-query-strategies-for-active-learning-with-transformers | 0 | 6623503 | <filename>active_learning_lab/data/embeddings.py
import torch
import numpy as np
from pathlib import Path
def get_embedding_matrix(name, vocab, data_dir='.data/'):
from gensim.models.word2vec import Word2VecKeyedVectors
embedding_dir = Path(data_dir).joinpath('embeddings')
embedding_dir.mkdir(parents=Tr... | <filename>active_learning_lab/data/embeddings.py
import torch
import numpy as np
from pathlib import Path
def get_embedding_matrix(name, vocab, data_dir='.data/'):
from gensim.models.word2vec import Word2VecKeyedVectors
embedding_dir = Path(data_dir).joinpath('embeddings')
embedding_dir.mkdir(parents=Tr... | none | 1 | 2.593697 | 3 | |
models/worker.py | xuanthuong/golfgame | 0 | 6623504 | # -*- coding: utf-8 -*-
# Description: worker_tb table
# By Thuong.Tran
# Date: 29 Aug 2017
from sqlalchemy import create_engine, Table, Column, MetaData, Integer, Text, DateTime, Float
from sqlalchemy import select
class worker():
def __init__(self, db_url):
_engine = create_engine(db_url)
_connection = _... | # -*- coding: utf-8 -*-
# Description: worker_tb table
# By Thuong.Tran
# Date: 29 Aug 2017
from sqlalchemy import create_engine, Table, Column, MetaData, Integer, Text, DateTime, Float
from sqlalchemy import select
class worker():
def __init__(self, db_url):
_engine = create_engine(db_url)
_connection = _... | en | 0.591127 | # -*- coding: utf-8 -*- # Description: worker_tb table # By Thuong.Tran # Date: 29 Aug 2017 | 2.923253 | 3 |
PyNN/brunel_test.py | OpenSourceBrain/Brunel2000 | 4 | 6623505 | <reponame>OpenSourceBrain/Brunel2000<gh_stars>1-10
"""
A scaled down version of the Brunel model useful for testing (see OMV files: .test.*)
"""
from brunel08 import runBrunelNetwork
from pyNN.utility import get_script_args
simulator_name = get_script_args(1)[0]
simtime = 1000
order = 100
eta = 2.0 # r... | """
A scaled down version of the Brunel model useful for testing (see OMV files: .test.*)
"""
from brunel08 import runBrunelNetwork
from pyNN.utility import get_script_args
simulator_name = get_script_args(1)[0]
simtime = 1000
order = 100
eta = 2.0 # rel rate of external input
g = 5.0
runBru... | en | 0.665112 | A scaled down version of the Brunel model useful for testing (see OMV files: .test.*) # rel rate of external input | 1.886121 | 2 |
compose/apps.py | iafisher/writingstreak | 2 | 6623506 | from django.apps import AppConfig
class ComposeConfig(AppConfig):
name = 'compose'
| from django.apps import AppConfig
class ComposeConfig(AppConfig):
name = 'compose'
| none | 1 | 1.202895 | 1 | |
respet/recon/reconstruction.py | jjleewustledu/NiftyPETy | 0 | 6623507 | import numpy as np
import os
import logging, sys
# create and configure main logger;
# see also https://stackoverflow.com/questions/50714316/how-to-use-logging-getlogger-name-in-multiple-modules/50715155#50715155
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
class Reconstruction(object):
__author__ ... | import numpy as np
import os
import logging, sys
# create and configure main logger;
# see also https://stackoverflow.com/questions/50714316/how-to-use-logging-getlogger-name-in-multiple-modules/50715155#50715155
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
class Reconstruction(object):
__author__ ... | en | 0.539339 | # create and configure main logger; # see also https://stackoverflow.com/questions/50714316/how-to-use-logging-getlogger-name-in-multiple-modules/50715155#50715155 # see also: mmrrec.py osemone param mask_radious # sinogram index (<127 for direct sinograms) # selects from ~/.niftypet/resources.py: hrdwr_mu :return e... | 2.278536 | 2 |
setup.py | manish-sin/BeterRoads | 0 | 6623508 | import os
import shutil
# Here we will do some initial setup
# We will remove all the folders and some cvs files which needs to be empty when starting a fresh project
# Currently the folders populated with data for reference
# commands below will remove these folders and create a new one with same name
#Here we defin... | import os
import shutil
# Here we will do some initial setup
# We will remove all the folders and some cvs files which needs to be empty when starting a fresh project
# Currently the folders populated with data for reference
# commands below will remove these folders and create a new one with same name
#Here we defin... | en | 0.902643 | # Here we will do some initial setup # We will remove all the folders and some cvs files which needs to be empty when starting a fresh project # Currently the folders populated with data for reference # commands below will remove these folders and create a new one with same name #Here we define the path of all such fol... | 2.664221 | 3 |
azqa/main.py | basilbc2000/bas-python-projects | 0 | 6623509 | <filename>azqa/main.py
import genconmaps as pcr
import gendistmatrices as gdm
import genplots as gnp
import genmodels as gnm
import genfiles as gnf
# import gendag as gnd
'''
read pcaps
get connections/conversations
refine data as needed
get distances (dtw, ngram)
generate model
generate heatma... | <filename>azqa/main.py
import genconmaps as pcr
import gendistmatrices as gdm
import genplots as gnp
import genmodels as gnm
import genfiles as gnf
# import gendag as gnd
'''
read pcaps
get connections/conversations
refine data as needed
get distances (dtw, ngram)
generate model
generate heatma... | en | 0.514408 | # import gendag as gnd read pcaps get connections/conversations refine data as needed get distances (dtw, ngram) generate model generate heatmap analyze results # samples = pcr.getRandomConversations(conversations, 10) # ('172.16.17.32', '172.16.31.10') # delta, ip.len, sport, dport, ip.p, times... | 1.982855 | 2 |
django/kisaan/dashboard/urls.py | AkshitOstwal/cfthacks2019 | 2 | 6623510 | from django.urls import path
from . import views
from django.contrib.auth.decorators import login_required
app_name = 'dashboard'
urlpatterns = [
path('',login_required(views.IndexView.as_view()),name='index'),
]
| from django.urls import path
from . import views
from django.contrib.auth.decorators import login_required
app_name = 'dashboard'
urlpatterns = [
path('',login_required(views.IndexView.as_view()),name='index'),
]
| none | 1 | 1.631737 | 2 | |
android/jni/msbuild.py | aselle/flatbuffers | 4,526 | 6623511 | #!/usr/bin/python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | #!/usr/bin/python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | en | 0.815969 | #!/usr/bin/python # Copyright 2014 Google Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a... | 2.791233 | 3 |
aqua_test/cli.py | behara/AquaRepo | 25 | 6623512 | from . import __version__
import click
from .core import initializer
INTERACTIVE_INIT_HELP = 'Start an interactive session to compose config file'
@click.version_option(__version__, message='%(version)s')
@click.group()
def main():
''' Boss CLI. '''
pass
@main.command('init')
@click.option('--interactive'... | from . import __version__
import click
from .core import initializer
INTERACTIVE_INIT_HELP = 'Start an interactive session to compose config file'
@click.version_option(__version__, message='%(version)s')
@click.group()
def main():
''' Boss CLI. '''
pass
@main.command('init')
@click.option('--interactive'... | en | 0.671493 | Boss CLI. Initialize a project directory for boss. # Print the files generated while initializing. | 2.653244 | 3 |
misc/add_path_to_envpath.py | mkroman/platformio-atom-ide | 1 | 6623513 | <gh_stars>1-10
# Copyright (c) 2016-present, PlatformIO Plus <<EMAIL>>
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree.
"""Add paths to Windows %PATH% environment variable."""
import os
import sys
import ctypes
from ctypes... | # Copyright (c) 2016-present, PlatformIO Plus <<EMAIL>>
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree.
"""Add paths to Windows %PATH% environment variable."""
import os
import sys
import ctypes
from ctypes.wintypes impor... | en | 0.853287 | # Copyright (c) 2016-present, PlatformIO Plus <<EMAIL>> # All rights reserved. # # This source code is licensed under the license found in the LICENSE file in # the root directory of this source tree. Add paths to Windows %PATH% environment variable. # PY2 # notify the system about the changes | 2.116113 | 2 |
cellsium/model/__init__.py | modsim/CellSium | 0 | 6623514 | <reponame>modsim/CellSium<gh_stars>0
"""Cell model package."""
from typing import Any, Iterable, Mapping, Optional
from ..parameters import h_to_s, s_to_h
from ..simulation.simulator import Timestep
from .agent import (
Copyable,
IdCounter,
InitializeWithParameters,
Representable,
WithLineage,
... | """Cell model package."""
from typing import Any, Iterable, Mapping, Optional
from ..parameters import h_to_s, s_to_h
from ..simulation.simulator import Timestep
from .agent import (
Copyable,
IdCounter,
InitializeWithParameters,
Representable,
WithLineage,
WithLineageHistory,
WithRandomSeq... | en | 0.758035 | Cell model package. Generates a cell class using the standard classes, and possible additional classes. :param additional_classes: Additional classes to inherit the cell from. :param name: Name of the class :return: Class Assembles a cell class from parent classes. Necessary as the cell class needs the... | 2.732858 | 3 |
domain/entities/errors/InvalidMonth.py | JVGC/MyFinancesPython | 0 | 6623515 | <gh_stars>0
class InvalidMonth:
def __init__(self, avaiable_months) -> None:
self.message = 'Invalid Month'
self.entity = 'Month'
self.reason = f"Month should be in: {avaiable_months}"
| class InvalidMonth:
def __init__(self, avaiable_months) -> None:
self.message = 'Invalid Month'
self.entity = 'Month'
self.reason = f"Month should be in: {avaiable_months}" | none | 1 | 2.871544 | 3 | |
siebenapp/tests/test_system.py | ahitrin/SiebenApp | 14 | 6623516 | # coding: utf-8
import pytest
from approvaltests import verify # type: ignore
from siebenapp.system import split_long, dot_export
from siebenapp.tests.dsl import build_goaltree, open_, clos_, selected, previous
@pytest.mark.parametrize(
"source,result",
[
("short", "short"),
("10: Example mu... | # coding: utf-8
import pytest
from approvaltests import verify # type: ignore
from siebenapp.system import split_long, dot_export
from siebenapp.tests.dsl import build_goaltree, open_, clos_, selected, previous
@pytest.mark.parametrize(
"source,result",
[
("short", "short"),
("10: Example mu... | en | 0.338409 | # coding: utf-8 # type: ignore #$%^&*()\\/,.?"), | 2.072121 | 2 |
ibslib/io/__init__.py | songsiwei/Ogre_r_sv | 0 | 6623517 | <filename>ibslib/io/__init__.py
__author__ = '<NAME>'
from .read import *
from .write import *
from .aims_extractor import AimsExtractor
from .check import * | <filename>ibslib/io/__init__.py
__author__ = '<NAME>'
from .read import *
from .write import *
from .aims_extractor import AimsExtractor
from .check import * | none | 1 | 1.10722 | 1 | |
vulnerability_mapping/hot_spot_mapping.py | worldbank/CityScan | 4 | 6623518 | import sys, os, importlib, math, shutil
import rasterio
import skimage
import numpy as np
import pandas as pd
import geopandas as gpd
import osmnx as ox
import GOSTnets as gn
import skimage.graph as graph
from rasterio.mask import mask
from rasterio import features
from rasterio.warp import reproject, Resampling
from... | import sys, os, importlib, math, shutil
import rasterio
import skimage
import numpy as np
import pandas as pd
import geopandas as gpd
import osmnx as ox
import GOSTnets as gn
import skimage.graph as graph
from rasterio.mask import mask
from rasterio import features
from rasterio.warp import reproject, Resampling
from... | en | 0.805614 | # Driving Speed for attributing road networks with speed # kmph Get speed from the above speed dict, but some of the suppied x's are actually lists INPUT x [string] - infra type to look up in s_dict s_dict [dictionary] - see speed_dict above RETURNS [number] speed Extract nodes from OSM ... | 2.36387 | 2 |
Exercise-3/03.py | abhay-lal/18CSC207J-APP | 0 | 6623519 | class Dept:
def _init_(self, student_name='SCO'):
self.student_name = student_name
st1 = Dept()
st2 = Dept('John')
print(st1.student_name)
print(st2.student_name)
| class Dept:
def _init_(self, student_name='SCO'):
self.student_name = student_name
st1 = Dept()
st2 = Dept('John')
print(st1.student_name)
print(st2.student_name)
| none | 1 | 3.537302 | 4 | |
scripts/delete_all.py | noppanit/airfare-recommendation | 1 | 6623520 | <reponame>noppanit/airfare-recommendation
import sys
import os.path
parent = os.path.abspath(os.path.join(os.path.dirname(__file__),'..'))
sys.path.append(parent)
from airfare.atc import delete_all
delete_all()
| import sys
import os.path
parent = os.path.abspath(os.path.join(os.path.dirname(__file__),'..'))
sys.path.append(parent)
from airfare.atc import delete_all
delete_all() | none | 1 | 2.008073 | 2 | |
dataProcessing/octree.py | zrtty1998/trafic-sptio-temporal-visualization | 0 | 6623521 | import math
import os
import random
import shutil
import pandas as pd
import json
def visualize(tree, size=10):
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D, art3d
def draw_all_nodes(node, ax):
for pnt in node.points:
ax.scatter3D(pnt.x, pnt.y, pnt.z, s=5)
... | import math
import os
import random
import shutil
import pandas as pd
import json
def visualize(tree, size=10):
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D, art3d
def draw_all_nodes(node, ax):
for pnt in node.points:
ax.scatter3D(pnt.x, pnt.y, pnt.z, s=5)
... | en | 0.526005 | # draw_lines(node) def draw_lines(node): bb = node.bounding_box # The scales for axhline & axvline are 0-1, so we have to convert # our values. x_offset = -tree._root.bounding_box.min_x min_x = (bb.min_x + x_offset) / 100 max_x = (bb.max_x + x_offset) / 100 y_of... | 3.227127 | 3 |
24.py | lycantropos/Project-Euler | 0 | 6623522 | <filename>24.py<gh_stars>0
from itertools import (permutations,
islice)
from typing import Iterable
def digits_lexicographic_permutation(*,
digits: Iterable[int],
index: int) -> int:
return next(islice(permutations(di... | <filename>24.py<gh_stars>0
from itertools import (permutations,
islice)
from typing import Iterable
def digits_lexicographic_permutation(*,
digits: Iterable[int],
index: int) -> int:
return next(islice(permutations(di... | none | 1 | 3.271427 | 3 | |
models/config_sr.py | ustato/sber-swap | 210 | 6623523 | <reponame>ustato/sber-swap<gh_stars>100-1000
import sys
class TestOptions(object):
name = 'weights'
results_dir = './results/'
gpu_ids = [0]
crop_size = 256
dataset_mode = 'test'
which_epoch = '10'
aspect_ratio = 1.0
checkpoints_dir = ''
init_type = 'xavier'
init_variance ... | import sys
class TestOptions(object):
name = 'weights'
results_dir = './results/'
gpu_ids = [0]
crop_size = 256
dataset_mode = 'test'
which_epoch = '10'
aspect_ratio = 1.0
checkpoints_dir = ''
init_type = 'xavier'
init_variance = 0.02
isTrain = False
is_test = True... | none | 1 | 1.536384 | 2 | |
game_mastering/models/file.py | SamusChief/myth-caster-api | 0 | 6623524 | """ Model for tracking file uploads to the server """
from django.db import models
from common.models import PrivateModel
class GameMasterFile(PrivateModel):
"""
Model to represent specific files.
Attributes
upload: the file uploaded to the server
"""
name = models.CharField(unique=True,... | """ Model for tracking file uploads to the server """
from django.db import models
from common.models import PrivateModel
class GameMasterFile(PrivateModel):
"""
Model to represent specific files.
Attributes
upload: the file uploaded to the server
"""
name = models.CharField(unique=True,... | en | 0.957184 | Model for tracking file uploads to the server Model to represent specific files. Attributes upload: the file uploaded to the server | 2.748875 | 3 |
scripts/functions/models_transcript.py | ajlee21/cycleGAN_gene_expression | 2 | 6623525 | <gh_stars>1-10
import torch.nn as nn
import torch.nn.functional as F
import torch
from torch.utils.data import DataLoader
import pandas as pd
import numpy as np
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
torch.nn.init.normal_(m.weight.data, 0.0, 0.02)... | import torch.nn as nn
import torch.nn.functional as F
import torch
from torch.utils.data import DataLoader
import pandas as pd
import numpy as np
def weights_init_normal(m):
classname = m.__class__.__name__
if classname.find("Conv") != -1:
torch.nn.init.normal_(m.weight.data, 0.0, 0.02)
if has... | de | 0.35443 | ############################## # RESNET ############################## # Encoder (Downsampling) # Transformation (Residual blocks) # Decoder (Upsampling) # Output layer # model += [nn.ReflectionPad2d(channels), # nn.Conv2d(out_features, channels, 7), nn.Tanh()] ############################## # ... | 2.917812 | 3 |
1_day/data_fiting.py | h-mayorquin/g_node_data_analysis_205 | 0 | 6623526 | import numpy as np
import matplotlib.pyplot as plt
from load_data_depression import V_mean
from scipy.signal import argrelextrema
T_data = 1200
dt_data = 1000.0 / 4000
times_data = np.arange(0, T_data, dt_data)
if True:
plt.plot(V_mean, label='V_experiment')
plt.legend()
plt.ylim([-0.5, 3])
plt.hold(... | import numpy as np
import matplotlib.pyplot as plt
from load_data_depression import V_mean
from scipy.signal import argrelextrema
T_data = 1200
dt_data = 1000.0 / 4000
times_data = np.arange(0, T_data, dt_data)
if True:
plt.plot(V_mean, label='V_experiment')
plt.legend()
plt.ylim([-0.5, 3])
plt.hold(... | en | 0.931947 | # We need to extract a vector of the maximums # From all the maximus we extract those ones that are | 2.566187 | 3 |
users/migrations/0004_auto_20200608_2230.py | a-samir97/mostql-project | 0 | 6623527 | # Generated by Django 3.0 on 2020-06-08 19:30
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('users', '0003_adminuser_is_blocked'),
]
operations = [
migrations.RemoveFiel... | # Generated by Django 3.0 on 2020-06-08 19:30
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('users', '0003_adminuser_is_blocked'),
]
operations = [
migrations.RemoveFiel... | en | 0.819543 | # Generated by Django 3.0 on 2020-06-08 19:30 | 1.619938 | 2 |
blog/models.py | robml/django_diy_blog | 0 | 6623528 | from django.db import models
from django.contrib.auth.models import User
from django.urls import reverse
# Create your models here.
class Blog(models.Model):
"""A model representing Blog Posts"""
title=models.CharField(max_length=200)
post_date = models.DateField(auto_now_add=True)
author = models.Fore... | from django.db import models
from django.contrib.auth.models import User
from django.urls import reverse
# Create your models here.
class Blog(models.Model):
"""A model representing Blog Posts"""
title=models.CharField(max_length=200)
post_date = models.DateField(auto_now_add=True)
author = models.Fore... | en | 0.86304 | # Create your models here. A model representing Blog Posts Returns the url to access a particular blog instance. Comments for each blog post Model representing Bloggers Returns the url to access a particular author instance. | 2.875722 | 3 |
swf/actors/worker.py | nstott/simpleflow | 0 | 6623529 | # -*- coding:utf-8 -*-
import boto.exception
from simpleflow import format
from swf.actors import Actor
from swf.models import ActivityTask
from swf.exceptions import PollTimeout, ResponseError, DoesNotExistError, RateLimitExceededError
from swf.responses import Response
class ActivityWorker(Actor):
"""Activity ... | # -*- coding:utf-8 -*-
import boto.exception
from simpleflow import format
from swf.actors import Actor
from swf.models import ActivityTask
from swf.exceptions import PollTimeout, ResponseError, DoesNotExistError, RateLimitExceededError
from swf.responses import Response
class ActivityWorker(Actor):
"""Activity ... | en | 0.801844 | # -*- coding:utf-8 -*- Activity task worker actor implementation Once started, will start polling for activity task, to process, and emitting heartbeat until it's stopped or crashes for some reason. :param domain: Domain the Actor should interact with :type domain: swf.models.Domain :param... | 2.439396 | 2 |
raw-input.py | eltechno/python_course | 4 | 6623530 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Created by techno at 8/04/19
#Feature: #Enter feature name here
# Enter feature description here
#Scenario: # Enter scenario name here
# Enter steps here
str = ("uno, dos, tres")
list = str.split(",")
tuple= tuple(list)
print('list : ', list)
print('tuple: ', tupl... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Created by techno at 8/04/19
#Feature: #Enter feature name here
# Enter feature description here
#Scenario: # Enter scenario name here
# Enter steps here
str = ("uno, dos, tres")
list = str.split(",")
tuple= tuple(list)
print('list : ', list)
print('tuple: ', tupl... | en | 0.696684 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- # Created by techno at 8/04/19 #Feature: #Enter feature name here # Enter feature description here #Scenario: # Enter scenario name here # Enter steps here | 3.729296 | 4 |
hypergraph/representation/unipartite.py | antoneri/mapping-hypergraphs | 10 | 6623531 | <reponame>antoneri/mapping-hypergraphs
from itertools import combinations_with_replacement, product
from hypergraph.network import HyperGraph, Network
from hypergraph.transition import w, P, pi
def create_network(hypergraph: HyperGraph, directed: bool, self_links: bool) -> Network:
nodes, edges, weights = hyperg... | from itertools import combinations_with_replacement, product
from hypergraph.network import HyperGraph, Network
from hypergraph.transition import w, P, pi
def create_network(hypergraph: HyperGraph, directed: bool, self_links: bool) -> Network:
nodes, edges, weights = hypergraph
print("[unipartite] creating ... | none | 1 | 2.95132 | 3 | |
src/installer.py | atareao/start-here | 35 | 6623532 | #/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
# This file is part of ubuntu-first-steps
#
# Copyright (c) 2020 <NAME> <a.k.a. atareao>
#
# 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 with... | #/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
# This file is part of ubuntu-first-steps
#
# Copyright (c) 2020 <NAME> <a.k.a. atareao>
#
# 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 with... | en | 0.735906 | #/usr/bin/env python3 # -*- coding: UTF-8 -*- # # This file is part of ubuntu-first-steps # # Copyright (c) 2020 <NAME> <a.k.a. atareao> # # 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 with... | 1.77395 | 2 |
lib/bes/common/string_list_util.py | reconstruir/bes | 0 | 6623533 | #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
from bes.system.compat import compat
from bes.compat.StringIO import StringIO
from .string_util import string_util
class string_list_util(object):
'string list helpers'
@classmethod
def remove_if(clazz, l, blacklist):
... | #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*-
from bes.system.compat import compat
from bes.compat.StringIO import StringIO
from .string_util import string_util
class string_list_util(object):
'string list helpers'
@classmethod
def remove_if(clazz, l, blacklist):
... | en | 0.595088 | #-*- coding:utf-8; mode:python; indent-tabs-mode: nil; c-basic-offset: 2; tab-width: 2 -*- | 2.594392 | 3 |
entrypoint/main.py | hlub/entrypoint | 0 | 6623534 | #!/usr/bin/env python3.7
# -*- coding: utf-8 -*-
"""Entrypoint main routine"""
import logging
import argparse
import os
import sys
import traceback
from jinja2.exceptions import TemplateSyntaxError
import yaml
from yaml.scanner import ScannerError
from . import __version__ as version
from .hooks import Hooks
from . i... | #!/usr/bin/env python3.7
# -*- coding: utf-8 -*-
"""Entrypoint main routine"""
import logging
import argparse
import os
import sys
import traceback
from jinja2.exceptions import TemplateSyntaxError
import yaml
from yaml.scanner import ScannerError
from . import __version__ as version
from .hooks import Hooks
from . i... | en | 0.805623 | #!/usr/bin/env python3.7 # -*- coding: utf-8 -*- Entrypoint main routine Replace the current entrypoint process with the actual command. Even the commandline arguments of the specified command are treated as templates. # if this point is reached, exec failed, so we should exit nonzero Return a dict of variables... | 2.485435 | 2 |
itunesmusicsearch/result_item.py | fonrims/itunesmusicsearch | 0 | 6623535 | <gh_stars>0
#!/usr/bin/python
class ResultItem(object):
"""
Defines a general result item
"""
def __init__(self, json):
"""
Initializes the ResultItem class from the JSON provided
:param json: String. Raw JSON data to fetch information from
"""
self.artist_name =... | #!/usr/bin/python
class ResultItem(object):
"""
Defines a general result item
"""
def __init__(self, json):
"""
Initializes the ResultItem class from the JSON provided
:param json: String. Raw JSON data to fetch information from
"""
self.artist_name = json['artis... | en | 0.69929 | #!/usr/bin/python Defines a general result item Initializes the ResultItem class from the JSON provided :param json: String. Raw JSON data to fetch information from Retrieves all keys in the class as a String :return: String. All the keys available in the class | 3.526493 | 4 |
2020-ucc/services/provenance-service/app/unfolding_utils.py | UST-QuAntiL/QuantME-UseCase | 3 | 6623536 | <reponame>UST-QuAntiL/QuantME-UseCase
# ******************************************************************************
# Copyright (c) 2020 University of Stuttgart
#
# See the NOTICE file(s) distributed with this work for additional
# information regarding copyright ownership.
#
# Licensed under the Apache License,... | # ******************************************************************************
# Copyright (c) 2020 University of Stuttgart
#
# See the NOTICE file(s) distributed with this work for additional
# information regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you m... | en | 0.757559 | # ****************************************************************************** # Copyright (c) 2020 University of Stuttgart # # See the NOTICE file(s) distributed with this work for additional # information regarding copyright ownership. # # Licensed under the Apache License, Version 2.0 (the "License"); # you m... | 1.724541 | 2 |
instagrapi/mixins/story.py | pip-install-HSE/instagrapi | 0 | 6623537 | <gh_stars>0
import json
from copy import deepcopy
from typing import List
from instagrapi import config
from instagrapi.exceptions import StoryNotFound
from instagrapi.extractors import extract_story_gql, extract_story_v1
from instagrapi.types import Story, StoryQueue
class StoryMixin:
_stories_cache = {} # pk ... | import json
from copy import deepcopy
from typing import List
from instagrapi import config
from instagrapi.exceptions import StoryNotFound
from instagrapi.extractors import extract_story_gql, extract_story_v1
from instagrapi.types import Story, StoryQueue
class StoryMixin:
_stories_cache = {} # pk -> object
... | en | 0.464017 | # pk -> object # def story_info_gql(self, story_pk: int): # # GQL havent video_url :-( # return self.media_info_gql(self, int(story_pk)) Get Story by pk or id Parameters ---------- story_pk: int Unique identifier of the story Returns ------- Story ... | 2.407413 | 2 |
port_scanner.py | RasbeeTech/Simple-Port-Scanner | 1 | 6623538 | import socket
import re
from common_ports import ports_and_services
def get_open_ports(target, port_range, verbose=False):
open_ports = []
address = ''
hostname = ''
# validate target
if re.search('^[0-9\.]*$', target):
try:
name, alias, addresslist = socket.gethostbyaddr(targe... | import socket
import re
from common_ports import ports_and_services
def get_open_ports(target, port_range, verbose=False):
open_ports = []
address = ''
hostname = ''
# validate target
if re.search('^[0-9\.]*$', target):
try:
name, alias, addresslist = socket.gethostbyaddr(targe... | en | 0.382535 | # validate target # Scan ports # return [open_ports] # Stringify | 3.242058 | 3 |
scripts/tshark.py | anzigly/pycoflow | 1 | 6623539 | <reponame>anzigly/pycoflow<filename>scripts/tshark.py
#!/usr/bin/python
import subprocess
def run_tshark(slaves_file):
proc = []
with open(slaves_file) as f:
for h in f.readlines():
if h.startswith("#"):
continue
host = h.strip()
cmd = 'ssh root@%s ... | #!/usr/bin/python
import subprocess
def run_tshark(slaves_file):
proc = []
with open(slaves_file) as f:
for h in f.readlines():
if h.startswith("#"):
continue
host = h.strip()
cmd = 'ssh root@%s nohup tshark -i eth0 -s 100 -w ts.pcap "tcp" &' % host... | ru | 0.258958 | #!/usr/bin/python | 2.553725 | 3 |
src/agx/generator/uml/interfaces.py | bluedynamics/agx.generator.uml | 1 | 6623540 | <filename>src/agx/generator/uml/interfaces.py
from zope.interface import Attribute
from node.interfaces import INode
from agx.core.interfaces import IScope
class IXMLScope(IScope):
"""XML specific scope interface.
Uses tag names for scope identification instead of interfaces.
"""
tags = Attribute(u"... | <filename>src/agx/generator/uml/interfaces.py
from zope.interface import Attribute
from node.interfaces import INode
from agx.core.interfaces import IScope
class IXMLScope(IScope):
"""XML specific scope interface.
Uses tag names for scope identification instead of interfaces.
"""
tags = Attribute(u"... | en | 0.651149 | XML specific scope interface. Uses tag names for scope identification instead of interfaces. | 1.632038 | 2 |
src/preprocessing/prepare_craft.py | norikinishida/coreference-resolution | 0 | 6623541 | from collections import defaultdict
import unicodedata
import os
import re
import utils
CONLL_KEYS = ["_0", "_1", "token-index", "token", "pos", "_5", "_6", "_7", "_8", "_9", "_10", "_11", "span-exp"]
def main():
config = utils.get_hocon_config(config_path="./config/main.conf", config_name="path")
path_conl... | from collections import defaultdict
import unicodedata
import os
import re
import utils
CONLL_KEYS = ["_0", "_1", "token-index", "token", "pos", "_5", "_6", "_7", "_8", "_9", "_10", "_11", "span-exp"]
def main():
config = utils.get_hocon_config(config_path="./config/main.conf", config_name="path")
path_conl... | ja | 0.942595 | # 辞書 (CoNLLファイル名 -> training/dev/test split) の作成 # CoNLLファイルリスト # CoNLLデータ読み込み # トークン正規化 # もしCoNLLデータにて、一つの単語が空白分割で複数個のパーツに別れるなら、それらを"-"で1単語に結合しておく # (後のコードで空白でトークン分割するために) # BioNLPデータ読み込み # CoNLLデータとBioNLPデータで文数が一致するかチェック # i.e., すべての文がいずれかのセクションに含まれているか # CoNLLデータの保存 # テキストデータに変換、保存 # セクション境界、文境界の保存 # Chains抽出 # 辞書に変... | 2.170014 | 2 |
tests/test_vision.py | karthik20122001/docker-python | 2,030 | 6623542 | import unittest
import inspect
from unittest.mock import Mock, patch
from kaggle_gcp import KaggleKernelCredentials, init_vision
from test.support import EnvironmentVarGuard
from google.cloud import vision
def _make_credentials():
import google.auth.credentials
return Mock(spec=google.auth.credentials.Creden... | import unittest
import inspect
from unittest.mock import Mock, patch
from kaggle_gcp import KaggleKernelCredentials, init_vision
from test.support import EnvironmentVarGuard
from google.cloud import vision
def _make_credentials():
import google.auth.credentials
return Mock(spec=google.auth.credentials.Creden... | none | 1 | 2.373434 | 2 | |
testPython/test3.py | lijie28/python_demo | 0 | 6623543 | <filename>testPython/test3.py
# -*- coding:utf-8*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import os
import os.path
from pyPdf import PdfFileReader,PdfFileWriter
import time
time1=time.time()
# 使用os模块walk函数，搜索出某目录下的全部pdf文件
######################获取同一个文件夹下的所有PDF文件名#######################
def getFileNam... | <filename>testPython/test3.py
# -*- coding:utf-8*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import os
import os.path
from pyPdf import PdfFileReader,PdfFileWriter
import time
time1=time.time()
# 使用os模块walk函数，搜索出某目录下的全部pdf文件
######################获取同一个文件夹下的所有PDF文件名#######################
def getFileNam... | zh | 0.70169 | # -*- coding:utf-8*- # 使用os模块walk函数，搜索出某目录下的全部pdf文件 ######################获取同一个文件夹下的所有PDF文件名####################### # print(os.path.join(root,filespath)) ##########################合并同一个文件夹下所有PDF文件######################## # print '看看',os.path.dirname(each),'+', os.path.splitext(each.replace(os.path.dirname(each),'')) # ... | 2.968939 | 3 |
arcpy_extensions/server_admin.py | jkeifer/arcpy-extensions | 1 | 6623544 | <filename>arcpy_extensions/server_admin.py
from __future__ import print_function
import os
import sys
import urllib
import urllib2
import httplib
import arcpy
import json
import re
from arcpy import env
class ServiceException(Exception):
pass
class AgsAdmin(object):
def __init__(self, serve... | <filename>arcpy_extensions/server_admin.py
from __future__ import print_function
import os
import sys
import urllib
import urllib2
import httplib
import arcpy
import json
import re
from arcpy import env
class ServiceException(Exception):
pass
class AgsAdmin(object):
def __init__(self, serve... | en | 0.746096 | Get a token required for Admin changes Function to stop, start or delete a service.
Requires token, server, and port.
command = Stop|Start|Delete
serviceList = List of services. A service must be in the <name>.<type> notation # test if name filter is valid regex # This request only needs the ... | 2.638635 | 3 |
ProjectApplication/project_core/migrations/0112_physical_person_add_orcid.py | code-review-doctor/project-application | 5 | 6623545 | <gh_stars>1-10
# Generated by Django 3.0.3 on 2020-03-20 15:26
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project_core', '0111_remove_project_duration_months'),
]
operations = [
migrations.AddField(
... | # Generated by Django 3.0.3 on 2020-03-20 15:26
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('project_core', '0111_remove_project_duration_months'),
]
operations = [
migrations.AddField(
model... | en | 0.765362 | # Generated by Django 3.0.3 on 2020-03-20 15:26 | 1.860766 | 2 |
citation.py | wangzefan666/SGC | 1 | 6623546 | import torch
import torch.nn.functional as F
import torch.optim as optim
from utils import load_citation, sgc_precompute, set_seed
from models import get_model
from metrics import accuracy
import pickle as pkl
from args import get_citation_args
from time import perf_counter
from models import GCN
# 加载参数
args = get_cit... | import torch
import torch.nn.functional as F
import torch.optim as optim
from utils import load_citation, sgc_precompute, set_seed
from models import get_model
from metrics import accuracy
import pickle as pkl
from args import get_citation_args
from time import perf_counter
from models import GCN
# 加载参数
args = get_cit... | zh | 0.593771 | # 加载参数 # 模型微调 # 读取微调超参数 - 权重衰减 # 设置随机种子，固定结果 # 邻接矩阵(归一化)，特征，标签，训练集，验证集，测试集 # 模型 SGC or GCN # 预计算 (S^K * X) # optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) # LBFGS专用 # if args.model == "SGC": | 2.33598 | 2 |
monlan/agents/CompositeAgent.py | CameleoGrey/Monlan | 3 | 6623547 | import numpy as np
from copy import deepcopy
from datetime import datetime
class CompositeAgent():
def __init__(self, opener, holdBuyer, holdSeller):
self.agents = { "opener": opener,
"buy": holdBuyer,
"sell": holdSeller }
self.openerActionsDict = {0:... | import numpy as np
from copy import deepcopy
from datetime import datetime
class CompositeAgent():
def __init__(self, opener, holdBuyer, holdSeller):
self.agents = { "opener": opener,
"buy": holdBuyer,
"sell": holdSeller }
self.openerActionsDict = {0:... | en | 0.31572 | # do opener action # if action == hold add experience to opener # else save state of open state and switch active agent to closer # while not close add experience to closer # if close position then add experience to closer, switch to opener # add saved obs, action and reward of closed position to opener too # repeat op... | 2.316909 | 2 |
project_tools/nrcan_p2/evaluation/bert_keyword_prediction.py | NRCan/Geoscience_Language_Models | 0 | 6623548 | # coding=utf-8
# Copyright (C) 2021 ServiceNow, Inc.
""" Finetuning for running PAIRING and MULTICLASS-MULTILABEL classification finetuning
on NRCan data and the original Glue benchmarks
This script is a SIGNIFICANTLY MODIFIED version of the run_glue.py script provided by
HuggingFace in the Transformers r... | # coding=utf-8
# Copyright (C) 2021 ServiceNow, Inc.
""" Finetuning for running PAIRING and MULTICLASS-MULTILABEL classification finetuning
on NRCan data and the original Glue benchmarks
This script is a SIGNIFICANTLY MODIFIED version of the run_glue.py script provided by
HuggingFace in the Transformers r... | en | 0.820452 | # coding=utf-8 # Copyright (C) 2021 ServiceNow, Inc. Finetuning for running PAIRING and MULTICLASS-MULTILABEL classification finetuning on NRCan data and the original Glue benchmarks This script is a SIGNIFICANTLY MODIFIED version of the run_glue.py script provided by HuggingFace in the Transformers repo:... | 2.181347 | 2 |
src/learners/DLGGTD.py | dylanashley/direct-lambda-greedy | 0 | 6623549 | <gh_stars>0
# -*- coding: ascii -*-
import numpy as np
from .GTD import GTD
class DLGGTD:
EPS = 1e-3
def __init__(self, initial_x, initial_gamma, max_reward):
assert (len(initial_x.shape) == 1)
n = len(initial_x)
self._last_gamma = initial_gamma
self._GTD = GTD(initial_x)
... | # -*- coding: ascii -*-
import numpy as np
from .GTD import GTD
class DLGGTD:
EPS = 1e-3
def __init__(self, initial_x, initial_gamma, max_reward):
assert (len(initial_x.shape) == 1)
n = len(initial_x)
self._last_gamma = initial_gamma
self._GTD = GTD(initial_x)
self.... | en | 0.617801 | # -*- coding: ascii -*- Return the current prediction for a given set of features x. # use GTD to update w_err # use GTD to update w_var # compute lambda estimate | 2.775983 | 3 |
Chapter07.StringFundamentals/convert_binary_digit_to_integer.py | mindnhand/Learning-Python-5th | 0 | 6623550 | <reponame>mindnhand/Learning-Python-5th<filename>Chapter07.StringFundamentals/convert_binary_digit_to_integer.py
#!/usr/bin/env python3
#encoding=utf-8
#---------------------------------------------------------------
# Usage: python3 convert_binary_digit_to_integer.py binary_digit
# Description: 将二进制输入参数转换为十进制数并打印到标准... | #!/usr/bin/env python3
#encoding=utf-8
#---------------------------------------------------------------
# Usage: python3 convert_binary_digit_to_integer.py binary_digit
# Description: 将二进制输入参数转换为十进制数并打印到标准输出
#---------------------------------------------------------------
import sys
'''
execution result in command... | en | 0.165276 | #!/usr/bin/env python3 #encoding=utf-8 #--------------------------------------------------------------- # Usage: python3 convert_binary_digit_to_integer.py binary_digit # Description: 将二进制输入参数转换为十进制数并打印到标准输出 #--------------------------------------------------------------- execution result in command line: ~]# python3 c... | 4.168561 | 4 |