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 |
|---|---|---|---|---|---|---|---|---|---|---|
CTFd/plugins/dynamic_challenges/__init__.py | MarkSablan/CTFd | 8 | 6627051 | <gh_stars>1-10
from __future__ import division # Use floating point for math calculations
import math
from flask import Blueprint
from CTFd.models import Challenges, Solves, db
from CTFd.plugins import register_plugin_assets_directory
from CTFd.plugins.challenges import CHALLENGE_CLASSES, BaseChallenge
from CTFd.pl... | from __future__ import division # Use floating point for math calculations
import math
from flask import Blueprint
from CTFd.models import Challenges, Solves, db
from CTFd.plugins import register_plugin_assets_directory
from CTFd.plugins.challenges import CHALLENGE_CLASSES, BaseChallenge
from CTFd.plugins.migration... | en | 0.856703 | # Use floating point for math calculations # Unique identifier used to register challenges # Name of a challenge type # Handlebars templates used for each aspect of challenge editing & viewing # Scripts that are loaded when a template is loaded # Route at which files are accessible. This must be registered using regist... | 2.208903 | 2 |
tests/user_test.py | eLemmings/back | 0 | 6627052 | <filename>tests/user_test.py
'''
Moduł do testów
Wykonuje podane zapytania do API i generuje plik html z ich rezultatami
'''
import requests
import json
import os
from datetime import datetime
from jinja2 import Environment, FileSystemLoader
env = Environment(loader=FileSystemLoader('tests'))
template = env.get_t... | <filename>tests/user_test.py
'''
Moduł do testów
Wykonuje podane zapytania do API i generuje plik html z ich rezultatami
'''
import requests
import json
import os
from datetime import datetime
from jinja2 import Environment, FileSystemLoader
env = Environment(loader=FileSystemLoader('tests'))
template = env.get_t... | pl | 0.924692 | Moduł do testów Wykonuje podane zapytania do API i generuje plik html z ich rezultatami | 2.727388 | 3 |
tests/unit/express/facade_tests.py | st8st8/django-oscar-paypal | 0 | 6627053 | <reponame>st8st8/django-oscar-paypal<gh_stars>0
from decimal import Decimal as D
from unittest import TestCase
from unittest.mock import Mock, patch
from urllib.parse import parse_qs
import pytest
from oscar.apps.shipping.methods import Free
from purl import URL
from paypal.express.facade import fetch_transaction_det... | from decimal import Decimal as D
from unittest import TestCase
from unittest.mock import Mock, patch
from urllib.parse import parse_qs
import pytest
from oscar.apps.shipping.methods import Free
from purl import URL
from paypal.express.facade import fetch_transaction_details, get_paypal_url
from paypal.models import E... | it | 0.097741 | # defaults # noqa E501 | 2.323642 | 2 |
fdep/commands/upload.py | checkr/fdep | 9 | 6627054 | """Upload a file to the designated storage backend.
.. code:: bash
fdep upload <files...>
.. note:: Note that just doing ``fdep upload`` doesn't work. You have to specify the file names. We omitted that out in order to emphasize uploading, since it can be destructive.
"""
import os
import sys
import time
from thr... | """Upload a file to the designated storage backend.
.. code:: bash
fdep upload <files...>
.. note:: Note that just doing ``fdep upload`` doesn't work. You have to specify the file names. We omitted that out in order to emphasize uploading, since it can be destructive.
"""
import os
import sys
import time
from thr... | en | 0.941442 | Upload a file to the designated storage backend. .. code:: bash fdep upload <files...> .. note:: Note that just doing ``fdep upload`` doesn't work. You have to specify the file names. We omitted that out in order to emphasize uploading, since it can be destructive. Handle upload commands. # Clean up the wrong one... | 2.561269 | 3 |
tests/st/scipy_st/test_linalg.py | Ascend/mindspore | 5 | 6627055 | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | en | 0.773859 | # Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to... | 2.010533 | 2 |
build/apply_locales.py | knopp/buildroot | 2,151 | 6627056 | <gh_stars>1000+
#!/usr/bin/env python
# Copyright (c) 2009 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# TODO: remove this script when GYP has for loops
import sys
import optparse
def main(argv):
parser = optparse... | #!/usr/bin/env python
# Copyright (c) 2009 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# TODO: remove this script when GYP has for loops
import sys
import optparse
def main(argv):
parser = optparse.OptionParser()
... | en | 0.860432 | #!/usr/bin/env python # Copyright (c) 2009 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. # TODO: remove this script when GYP has for loops # For Cocoa to find the locale at runtime, it needs to use '_' instead # of '-' (h... | 2.305208 | 2 |
users/views.py | hahaxhhsz/fadiandian | 0 | 6627057 |
# Create your views here.
from users.models import Users
from users.serializers import UsersSerializer
from django.http import Http404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
import json
# 获取所有用户信息
class getAllUsers(APIView):
def ge... |
# Create your views here.
from users.models import Users
from users.serializers import UsersSerializer
from django.http import Http404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
import json
# 获取所有用户信息
class getAllUsers(APIView):
def ge... | zh | 0.727815 | # Create your views here. # 获取所有用户信息 # 注册 # 登陆，若已登陆的账号无法实现再次登陆 # 登出 # 获取单个用户信息 | 2.473277 | 2 |
beginner_source/basics/optimization_tutorial.py | Lezcano/tutorials | 1 | 6627058 | """
`Learn the Basics <intro.html>`_ ||
`Quickstart <quickstart_tutorial.html>`_ ||
`Tensors <tensorqs_tutorial.html>`_ ||
`Datasets & DataLoaders <data_tutorial.html>`_ ||
`Transforms <transforms_tutorial.html>`_ ||
`Build Model <buildmodel_tutorial.html>`_ ||
`Autograd <autogradqs_tutorial.html>`_ ||
**Optimization... | """
`Learn the Basics <intro.html>`_ ||
`Quickstart <quickstart_tutorial.html>`_ ||
`Tensors <tensorqs_tutorial.html>`_ ||
`Datasets & DataLoaders <data_tutorial.html>`_ ||
`Transforms <transforms_tutorial.html>`_ ||
`Build Model <buildmodel_tutorial.html>`_ ||
`Autograd <autogradqs_tutorial.html>`_ ||
**Optimization... | en | 0.706274 | `Learn the Basics <intro.html>`_ || `Quickstart <quickstart_tutorial.html>`_ || `Tensors <tensorqs_tutorial.html>`_ || `Datasets & DataLoaders <data_tutorial.html>`_ || `Transforms <transforms_tutorial.html>`_ || `Build Model <buildmodel_tutorial.html>`_ || `Autograd <autogradqs_tutorial.html>`_ || **Optimization** |... | 4.023796 | 4 |
mp_calc/app/serverlibrary.py | shanghongsim/d2w | 0 | 6627059 | <gh_stars>0
def mergesort(array, byfunc=None):
p=0
r=len(array)-1
mergesort_recursive(array, p, r, byfunc)
return array
def merge(array, p, q, r, byfunc):
nleft=q-p+1
nright=r-q
left_array=array[p:q+1]
right_array=array[q+1:r+1]
left=0
right=0
dest=p
if byfunc!=None:
... | def mergesort(array, byfunc=None):
p=0
r=len(array)-1
mergesort_recursive(array, p, r, byfunc)
return array
def merge(array, p, q, r, byfunc):
nleft=q-p+1
nright=r-q
left_array=array[p:q+1]
right_array=array[q+1:r+1]
left=0
right=0
dest=p
if byfunc!=None:
while (... | en | 0.73746 | # print(operand_stack.peek()) # print(operator_stack.peek()) # print("----") | 3.790642 | 4 |
YouTube-Video-Downloader/YouTube-video-downloader-2.py | vusalaxndzde/YouTube-video-downloader-youtube_dl | 2 | 6627060 | <reponame>vusalaxndzde/YouTube-video-downloader-youtube_dl
import youtube_dl
from pytube import YouTube
from PyQt5 import QtWidgets, QtGui
import sys
class Window(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle("YouTube Video Downloader")
self.setMaximumSize(6... | import youtube_dl
from pytube import YouTube
from PyQt5 import QtWidgets, QtGui
import sys
class Window(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle("YouTube Video Downloader")
self.setMaximumSize(670, 330)
self.setMinimumSize(670, 330)
self... | none | 1 | 2.737255 | 3 | |
output/models/ms_data/datatypes/facets/nmtokens/nmtokens_pattern001_xsd/nmtokens_pattern001.py | tefra/xsdata-w3c-tests | 1 | 6627061 | from dataclasses import dataclass, field
from typing import List
@dataclass
class Foo:
class Meta:
name = "foo"
value: List[str] = field(
default_factory=list,
metadata={
"required": True,
"pattern": r"[A-C]{0,2}",
"tokens": True,
}
)
| from dataclasses import dataclass, field
from typing import List
@dataclass
class Foo:
class Meta:
name = "foo"
value: List[str] = field(
default_factory=list,
metadata={
"required": True,
"pattern": r"[A-C]{0,2}",
"tokens": True,
}
)
| none | 1 | 2.950213 | 3 | |
test/unit/test_api_users.py | ldn-softdev/pyeapi | 126 | 6627062 | <reponame>ldn-softdev/pyeapi
#
# Copyright (c) 2015, Arista Networks, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# Redistributions of source code must retain the above copyright no... | #
# Copyright (c) 2015, Arista Networks, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of condit... | en | 0.732862 | # # Copyright (c) 2015, Arista Networks, Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # Redistributions of source code must retain the above copyright notice, # this list of condit... | 1.371219 | 1 |
gw/work/S190425z-KMTNet-split_phot.py | SilverRon/gppy | 4 | 6627063 | <gh_stars>1-10
# PHOTOMETRY CODE FOR PYTHON 3.X
# 2019.06.20 CREATED BY <NAME>
# 2019.10.06 MODIFIED BY <NAME>
#============================================================
import os, glob
import numpy as np
import matplotlib.pyplot as plt
from astropy.table import Table, vstack
from astropy.io import ascii
from astrop... | # PHOTOMETRY CODE FOR PYTHON 3.X
# 2019.06.20 CREATED BY <NAME>
# 2019.10.06 MODIFIED BY <NAME>
#============================================================
import os, glob
import numpy as np
import matplotlib.pyplot as plt
from astropy.table import Table, vstack
from astropy.io import ascii
from astropy.io import fit... | en | 0.116911 | # PHOTOMETRY CODE FOR PYTHON 3.X # 2019.06.20 CREATED BY <NAME> # 2019.10.06 MODIFIED BY <NAME> #============================================================ #============================================================ # FUNCTION #============================================================ #--------------------------... | 2.360709 | 2 |
kvlog/__init__.py | magicray/keyvaluestore | 0 | 6627064 | <filename>kvlog/__init__.py<gh_stars>0
import json
import urllib.parse
import urllib.request
class Client():
def __init__(self, servers):
self.servers = servers
self.leader = None
def server_list(self):
servers = [self.leader] if self.leader else []
servers.extend(self.servers... | <filename>kvlog/__init__.py<gh_stars>0
import json
import urllib.parse
import urllib.request
class Client():
def __init__(self, servers):
self.servers = servers
self.leader = None
def server_list(self):
servers = [self.leader] if self.leader else []
servers.extend(self.servers... | none | 1 | 2.742887 | 3 | |
main.py | TeKraft/OwlNightLong | 0 | 6627065 | from preprocessing import *
from processingData import *
from postprocessing import *
from saveMap import *
import os
# dataPath = os.path.join('C:\\','Users','s_slim01','Downloads','movebank','movebank','eagle_owl','Eagle owl Reinhard Vohwinkel MPIO','points.shp')
#dataPath = os.path.join('/home','torben','D... | from preprocessing import *
from processingData import *
from postprocessing import *
from saveMap import *
import os
# dataPath = os.path.join('C:\\','Users','s_slim01','Downloads','movebank','movebank','eagle_owl','Eagle owl Reinhard Vohwinkel MPIO','points.shp')
#dataPath = os.path.join('/home','torben','D... | en | 0.353913 | # dataPath = os.path.join('C:\\','Users','s_slim01','Downloads','movebank','movebank','eagle_owl','Eagle owl Reinhard Vohwinkel MPIO','points.shp') #dataPath = os.path.join('/home','torben','Documents','uni','Master','SS_2018','PyGIS','final_submission','movebank','eagle_owl','Eagle owl Reinhard Vohwinkel MPIO','points... | 2.111828 | 2 |
vqgan/config.py | davisyoshida/vqgan-haiku | 0 | 6627066 | <filename>vqgan/config.py
from collections import namedtuple
import haiku as hk
VQGanConfig = namedtuple('VQGanConfig', [
'learning_rate',
'resolution',
'no_downscale_layers',
'embed_dim',
'n_embed',
'ch_mult',
'num_res_blocks',
'channels',
'temb_channels',
'dropout',
'z_ch... | <filename>vqgan/config.py
from collections import namedtuple
import haiku as hk
VQGanConfig = namedtuple('VQGanConfig', [
'learning_rate',
'resolution',
'no_downscale_layers',
'embed_dim',
'n_embed',
'ch_mult',
'num_res_blocks',
'channels',
'temb_channels',
'dropout',
'z_ch... | none | 1 | 2.016654 | 2 | |
tensorflow_datasets/summarization/samsum.py | ChAnYaNG97/datasets | 1 | 6627067 | <filename>tensorflow_datasets/summarization/samsum.py<gh_stars>1-10
# coding=utf-8
# Copyright 2020 The TensorFlow Datasets 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
#
# ht... | <filename>tensorflow_datasets/summarization/samsum.py<gh_stars>1-10
# coding=utf-8
# Copyright 2020 The TensorFlow Datasets 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
#
# ht... | en | 0.737646 | # coding=utf-8 # Copyright 2020 The TensorFlow Datasets 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 appl... | 1.942754 | 2 |
tests/explainers/test_linear.py | NunoEdgarGFlowHub/shap | 1 | 6627068 | <reponame>NunoEdgarGFlowHub/shap<filename>tests/explainers/test_linear.py
import matplotlib
import numpy as np
matplotlib.use('Agg')
import shap
def test_tied_pair():
np.random.seed(0)
beta = np.array([1, 0, 0])
mu = np.zeros(3)
Sigma = np.array([[1, 0.999999, 0], [0.999999, 1, 0], [0, 0, 1]])
X ... | import matplotlib
import numpy as np
matplotlib.use('Agg')
import shap
def test_tied_pair():
np.random.seed(0)
beta = np.array([1, 0, 0])
mu = np.zeros(3)
Sigma = np.array([[1, 0.999999, 0], [0.999999, 1, 0], [0, 0, 1]])
X = np.ones((1,3))
explainer = shap.LinearExplainer((beta, 0), (mu, Sigm... | en | 0.627322 | # train linear model # explain the model's predictions using SHAP values # test duplicated features # test multiple colinear features # test null features # generate linear data # train linear model # explain the model's predictions using SHAP values Make sure things work with a univariate linear regression. # generate... | 2.79897 | 3 |
support/retro_contest/agent.py | hermesdt/retro-contest | 51 | 6627069 | import argparse
import gym_remote.exceptions as gre
import gym_remote.client as grc
import os
import sys
import traceback
from pkg_resources import EntryPoint
def make(socketdir='tmp/sock'):
env = grc.RemoteEnv(socketdir)
return env
def run(agent=None, socketdir='tmp/sock', daemonize=False, args=[]):
if... | import argparse
import gym_remote.exceptions as gre
import gym_remote.client as grc
import os
import sys
import traceback
from pkg_resources import EntryPoint
def make(socketdir='tmp/sock'):
env = grc.RemoteEnv(socketdir)
return env
def run(agent=None, socketdir='tmp/sock', daemonize=False, args=[]):
if... | none | 1 | 2.091244 | 2 | |
gpuexperiments/occupancy_dyn.py | hughperkins/gpu-experiments | 2 | 6627070 | <filename>gpuexperiments/occupancy_dyn.py
"""
Try using dynamic shared memory, see if gets optimized away, or affects occupancy
"""
from __future__ import print_function, division
import os
from os.path import join
import time
import string
import jinja2
import numpy as np
import pyopencl as cl
import subprocess
from g... | <filename>gpuexperiments/occupancy_dyn.py
"""
Try using dynamic shared memory, see if gets optimized away, or affects occupancy
"""
from __future__ import print_function, division
import os
from os.path import join
import time
import string
import jinja2
import numpy as np
import pyopencl as cl
import subprocess
from g... | en | 0.465757 | Try using dynamic shared memory, see if gets optimized away, or affects occupancy kernel void {{name}} (global float *data, global float *out{% if shared %}, local float *F{% endif %}) { {% for j in range(ilp) %} float a{{j}} = data[{{j}}]; {% endfor %} ... | 1.766144 | 2 |
python/DL_for_HTT/common/model_inputs/GENleg_with_METcov_j1j2jr_Nnu_Npu.py | lucastorterotot/DL_for_HTT_mass | 1 | 6627071 | inputs = [
"leg1_pt_gen",
"leg1_eta_gen",
"leg1_phi_gen",
"leg2_pt_gen",
"leg2_eta_gen",
"leg2_phi_gen",
"jet1_pt_reco",
"jet1_eta_reco",
"jet1_phi_reco",
"jet2_pt_reco",
"jet2_eta_reco",
"jet2_phi_reco",
"remaining_jets_pt_reco",
"remaining_jets_eta_reco",
"r... | inputs = [
"leg1_pt_gen",
"leg1_eta_gen",
"leg1_phi_gen",
"leg2_pt_gen",
"leg2_eta_gen",
"leg2_phi_gen",
"jet1_pt_reco",
"jet1_eta_reco",
"jet1_phi_reco",
"jet2_pt_reco",
"jet2_eta_reco",
"jet2_phi_reco",
"remaining_jets_pt_reco",
"remaining_jets_eta_reco",
"r... | en | 0.349516 | # "MET_significance_reco", | 1.209551 | 1 |
accounts/models.py | joshgoshbgosh/ccs-final-project | 1 | 6627072 | <reponame>joshgoshbgosh/ccs-final-project
from django.db import models
from django.conf import settings
from django.contrib.auth.models import AbstractUser
class User(AbstractUser):
username = models.CharField(max_length=255)
class Profile(models.Model):
# https://docs.djangoproject.com/en/3.1/topics/db/ex... | from django.db import models
from django.conf import settings
from django.contrib.auth.models import AbstractUser
class User(AbstractUser):
username = models.CharField(max_length=255)
class Profile(models.Model):
# https://docs.djangoproject.com/en/3.1/topics/db/examples/one_to_one/#one-to-one-relationship... | en | 0.740046 | # https://docs.djangoproject.com/en/3.1/topics/db/examples/one_to_one/#one-to-one-relationships | 2.500115 | 3 |
qiskit_acqua/ising/testgraphpartition.py | adcorcol/qiskit-acqua | 1 | 6627073 | <reponame>adcorcol/qiskit-acqua
from qiskit_acqua import Operator, run_algorithm, get_algorithm_instance
from qiskit_acqua.input import get_input_instance
from qiskit_acqua.ising import graphpartition
import numpy as np
# w = maxcut.parse_gset_format('sample.maxcut')
# qubitOp, offset = maxcut.get_maxcut_qubitops(w)
... | from qiskit_acqua import Operator, run_algorithm, get_algorithm_instance
from qiskit_acqua.input import get_input_instance
from qiskit_acqua.ising import graphpartition
import numpy as np
# w = maxcut.parse_gset_format('sample.maxcut')
# qubitOp, offset = maxcut.get_maxcut_qubitops(w)
# algo_input = get_input_instanc... | en | 0.203574 | # w = maxcut.parse_gset_format('sample.maxcut') # qubitOp, offset = maxcut.get_maxcut_qubitops(w) # algo_input = get_input_instance('EnergyInput') # algo_input.qubit_op = qubitOp # print('objective function:', maxcut.maxcut_obj(result, offset)) # brute-force way. # [2:] to chop off the "0b" part # not balanced # if 'VQ... | 2.144346 | 2 |
utils/nn/modules/attention.py | roshanr11/Research-DCST | 5 | 6627074 | <gh_stars>1-10
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
class BiAAttention(nn.Module):
'''
Bi-Affine attention layer.
'''
def __init__(self, input_size_encoder, input_size_decoder, num_labels, biaffine=True, **kwargs):
'''
... | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
class BiAAttention(nn.Module):
'''
Bi-Affine attention layer.
'''
def __init__(self, input_size_encoder, input_size_decoder, num_labels, biaffine=True, **kwargs):
'''
Args:
... | en | 0.546189 | Bi-Affine attention layer. Args: input_size_encoder: int the dimension of the encoder input. input_size_decoder: int the dimension of the decoder input. num_labels: int the number of labels of the crf layer biaffine: bool ... | 2.61953 | 3 |
up/tasks/det/plugins/condinst/models/postprocess/__init__.py | ModelTC/EOD | 196 | 6627075 | <gh_stars>100-1000
from .condinst_postprocess import * # noqa
from .condinst_predictor import * # noqa
from .condinst_supervisor import * # noqa | from .condinst_postprocess import * # noqa
from .condinst_predictor import * # noqa
from .condinst_supervisor import * # noqa | uz | 0.446344 | # noqa # noqa # noqa | 0.904537 | 1 |
riddles/admin.py | dan-brown/RiddleBase | 1 | 6627076 | from django.contrib import admin
from riddles.models import Riddle, RiddleCategory, RiddleState, RiddleType
admin.site.register(RiddleCategory)
admin.site.register(RiddleType)
admin.site.register(Riddle)
admin.site.register(RiddleState)
| from django.contrib import admin
from riddles.models import Riddle, RiddleCategory, RiddleState, RiddleType
admin.site.register(RiddleCategory)
admin.site.register(RiddleType)
admin.site.register(Riddle)
admin.site.register(RiddleState)
| none | 1 | 1.276761 | 1 | |
tests/test_consistentpangenomevariations.py | iqbal-lab-org/pangenome_variations | 0 | 6627077 | from unittest import TestCase
from unittest.mock import Mock, PropertyMock, patch
from collections import defaultdict
import pandas as pd
from io import StringIO
from src.ConsistentPangenomeVariations import ConsistentPangenomeVariations, InconsistentPangenomeVariations
from src.DeduplicatedVariationsDataframe import ... | from unittest import TestCase
from unittest.mock import Mock, PropertyMock, patch
from collections import defaultdict
import pandas as pd
from io import StringIO
from src.ConsistentPangenomeVariations import ConsistentPangenomeVariations, InconsistentPangenomeVariations
from src.DeduplicatedVariationsDataframe import ... | en | 0.295022 | # setup # setup dummy 0 1 2 3 dummy,ref_genome,query_genome,present_in_a_consistent_pangenome_variation,pangenome_variation_id,number_of_alleles,ref_allele_id,query_allele_id,number_of_different_allele_sequences,ref_allele_sequence_id,query_allele_sequence_id,nb_of_sample... | 2.577021 | 3 |
local/lib/python3.6/site-packages/pgadmin4/pgadmin/browser/server_groups/servers/databases/schemas/tables/rules/__init__.py | sahilsdei/django_ecommerce | 2 | 6627078 | <gh_stars>1-10
##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2018, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
""... | ##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2018, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
"""Implements Rul... | en | 0.708253 | ########################################################################## # # pgAdmin 4 - PostgreSQL Tools # # Copyright (C) 2013 - 2018, The pgAdmin Development Team # This software is released under the PostgreSQL Licence # ########################################################################## Implements Rule No... | 1.752408 | 2 |
corrscope/channel.py | Lactozilla/corrscope | 0 | 6627079 | <gh_stars>0
from enum import unique, auto
from os.path import abspath
from pathlib import Path
from typing import TYPE_CHECKING, Optional, Union, Dict, Any
import attr
from ruamel.yaml.comments import CommentedMap
from corrscope.config import (
DumpableAttrs,
Alias,
CorrError,
evolve_compat,
Typed... | from enum import unique, auto
from os.path import abspath
from pathlib import Path
from typing import TYPE_CHECKING, Optional, Union, Dict, Any
import attr
from ruamel.yaml.comments import CommentedMap
from corrscope.config import (
DumpableAttrs,
Alias,
CorrError,
evolve_compat,
TypedEnumDump,
)
... | en | 0.719044 | # Supplying a dict inherits attributes from global trigger. # TODO test channel-specific triggers # Multiplies how wide the window is, in milliseconds. # Overrides global amplification. # Stereo config # region Legacy Fields # endregion # trigger_samp is unneeded, since __init__ (not CorrScope) constructs triggers. # P... | 2.059231 | 2 |
tensor2tensor/models/research/aligned.py | xueeinstein/tensor2tensor | 0 | 6627080 | # coding=utf-8
# Copyright 2018 The Tensor2Tensor 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 applicable... | # coding=utf-8
# Copyright 2018 The Tensor2Tensor 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 applicable... | en | 0.654219 | # coding=utf-8 # Copyright 2018 The Tensor2Tensor 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 applicable... | 1.673375 | 2 |
podcast-backend/src/app/pcasts/controllers/search_series_controller.py | cuappdev/archives | 0 | 6627081 | from . import *
class SearchSeriesController(AppDevController):
def get_path(self):
return '/search/series/<query>/'
def get_methods(self):
return ['GET']
@authorize
def content(self, **kwargs):
user_id = kwargs.get('user').id
search_name = request.view_args['query']
offset = request.arg... | from . import *
class SearchSeriesController(AppDevController):
def get_path(self):
return '/search/series/<query>/'
def get_methods(self):
return ['GET']
@authorize
def content(self, **kwargs):
user_id = kwargs.get('user').id
search_name = request.view_args['query']
offset = request.arg... | none | 1 | 2.072625 | 2 | |
scripts/version.py | framawiki/pywikibot | 0 | 6627082 | <gh_stars>0
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""Script to determine the Pywikibot version (tag, revision and date)."""
#
# (C) Pywikibot team, 2007-2020
#
# Distributed under the terms of the MIT license.
#
import codecs
import os
import sys
import pywikibot
from pywikibot.version import getversion, get_tool... | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Script to determine the Pywikibot version (tag, revision and date)."""
#
# (C) Pywikibot team, 2007-2020
#
# Distributed under the terms of the MIT license.
#
import codecs
import os
import sys
import pywikibot
from pywikibot.version import getversion, get_toolforge_hostna... | en | 0.654394 | #!/usr/bin/python # -*- coding: utf-8 -*- Script to determine the Pywikibot version (tag, revision and date). # # (C) Pywikibot team, 2007-2020 # # Distributed under the terms of the MIT license. # Fake requests instance. Print environment variable. Print pywikibot version and important settings. | 2.60877 | 3 |
hexrd/ui/color_map_editor.py | bnmajor/hexrdgui | 0 | 6627083 | <reponame>bnmajor/hexrdgui
import copy
from matplotlib import cm
import matplotlib.colors
import numpy as np
import hexrd.ui.constants
from hexrd.ui.ui_loader import UiLoader
class ColorMapEditor:
def __init__(self, image_object, parent=None):
# The image_object can be any object with the following fu... | import copy
from matplotlib import cm
import matplotlib.colors
import numpy as np
import hexrd.ui.constants
from hexrd.ui.ui_loader import UiLoader
class ColorMapEditor:
def __init__(self, image_object, parent=None):
# The image_object can be any object with the following functions:
# 1. set_c... | en | 0.747344 | # The image_object can be any object with the following functions: # 1. set_cmap: a function to set the cmap on the image # 2. set_norm: a function to set the norm on the image # Set the combobox to be the default # We can't do this in PySide2 for some reason: # self.ui.maximum.valueChanged.connect(self.ui.minimum.setM... | 2.575002 | 3 |
dbpedia_links_rating/rating/views.py | RPOD/DBpedia-Links-Rating | 0 | 6627084 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.views.generic import TemplateView, UpdateView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from django.shortcuts import redirect
from django.contrib.contenttypes.mod... | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.views.generic import TemplateView, UpdateView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from django.shortcuts import redirect
from django.contrib.contenttypes.mod... | en | 0.941722 | # -*- coding: utf-8 -*- # NOQA # Current user HAS rated this object # Updates his rating and total score # Current user has NOT rated this object # Saves first new rating # Saves first new total score, same value as new rating | 1.992928 | 2 |
marvelo_adapter.py | timokau/task-placement | 1 | 6627085 | """Imports marvelo problems and results from csv"""
import os
import math
import re
import csv
import numpy as np
from infrastructure import InfrastructureNetwork
from overlay import OverlayNetwork
from embedding import PartialEmbedding
def csv_to_list(csvfile, sep=","):
"""Parses a csv file into a 2d array, ig... | """Imports marvelo problems and results from csv"""
import os
import math
import re
import csv
import numpy as np
from infrastructure import InfrastructureNetwork
from overlay import OverlayNetwork
from embedding import PartialEmbedding
def csv_to_list(csvfile, sep=","):
"""Parses a csv file into a 2d array, ig... | en | 0.822035 | Imports marvelo problems and results from csv Parses a csv file into a 2d array, ignoring the header # skip header Reads an overlay in MARVELOs format from file # read the files # construct the overlay from the gathered info Reads an infrastructure definition in MARVELO format from csvs # read the files # the positions... | 2.873246 | 3 |
Scrapers/pcmagUrlsScraper.py | sydneyhill3901/CSI2999 | 0 | 6627086 | import requests, time, csv
from bs4 import BeautifulSoup
# listPageRootUrl is "https://www.pcmag.com/categories/mobile-phones?page="
# pageNumber is the page number on PCMag site to scrape
# write=True writes scraped URLs to CSV file in format phoneName|url
def getReviews(listPageRootUrl, pageNumber, write=Tru... | import requests, time, csv
from bs4 import BeautifulSoup
# listPageRootUrl is "https://www.pcmag.com/categories/mobile-phones?page="
# pageNumber is the page number on PCMag site to scrape
# write=True writes scraped URLs to CSV file in format phoneName|url
def getReviews(listPageRootUrl, pageNumber, write=Tru... | en | 0.852576 | # listPageRootUrl is "https://www.pcmag.com/categories/mobile-phones?page=" # pageNumber is the page number on PCMag site to scrape # write=True writes scraped URLs to CSV file in format phoneName|url # listPageRootUrl is "https://www.pcmag.com/categories/mobile-phones?page=" # pageNumber is the page number on PCMag si... | 3.186912 | 3 |
solidata_api/_auth/auth_distant_protocols.py | co-demos/solidata-backend | 2 | 6627087 | """
auth_distant_protocols.py
"""
from log_config import log, pprint, pformat
log.debug (">>> _auth ... loading auth_distant_protocols ...")
functions_protocols = {
### DONE
"token_claims" : {
"endpoint_config" : "auth_tokens",
"endpoint_code" : "token_claims",
},
# TESTS TO DO
"confirm_acces... | """
auth_distant_protocols.py
"""
from log_config import log, pprint, pformat
log.debug (">>> _auth ... loading auth_distant_protocols ...")
functions_protocols = {
### DONE
"token_claims" : {
"endpoint_config" : "auth_tokens",
"endpoint_code" : "token_claims",
},
# TESTS TO DO
"confirm_acces... | en | 0.190646 | auth_distant_protocols.py ### DONE # TESTS TO DO ### DONE ### DONE ### TESTS TO DO ### TESTS TO DO # ### TO DO # "add_claims_to_access_token" : { # "endpoint_config" : "users_list", # "endpoint_code" : "get_one", # }, # ### TO DO # "user_identity_lookup" : { # "endpoint_config" : "users_list", # "endpoint_code"... | 2.237887 | 2 |
api/drinks/tests/tags.py | gthole/drink-stash | 7 | 6627088 | <reponame>gthole/drink-stash<filename>api/drinks/tests/tags.py
from datetime import timedelta
from django.utils.timezone import now
from rest_framework.test import APIClient
from drinks.models import Tag
from .base import BaseTestCase
class TagTestCase(BaseTestCase):
def test_fetch_tags(self):
Tag.objects... | from datetime import timedelta
from django.utils.timezone import now
from rest_framework.test import APIClient
from drinks.models import Tag
from .base import BaseTestCase
class TagTestCase(BaseTestCase):
def test_fetch_tags(self):
Tag.objects.create(name='sour')
Tag.objects.create(name='bitter')
... | none | 1 | 2.221169 | 2 | |
san_antonio/san_antonio.py | NicolasFlandrois/My-Mini-Py-Scripts-Training | 0 | 6627089 | <reponame>NicolasFlandrois/My-Mini-Py-Scripts-Training<gh_stars>0
# -*- coding: utf8 -*-
quotes = [
"Ecoutez-moi, <NAME>, nous avons beau être ou ne pas être, nous sommes !",
"On doit pouvoir choisir entre s'écouter parler et se faire entendre."
]
characters = [
"alvin et les Chipmunks",
"Babar",
"<NAME>",
"cal... | # -*- coding: utf8 -*-
quotes = [
"Ecoutez-moi, <NAME>, nous avons beau être ou ne pas être, nous sommes !",
"On doit pouvoir choisir entre s'écouter parler et se faire entendre."
]
characters = [
"alvin et les Chipmunks",
"Babar",
"<NAME>",
"calimero",
"casper",
"le chat potté",
"Kirikou"
]
def get_random_... | en | 0.347731 | # -*- coding: utf8 -*- This fonction show a random quote from a list. # import random # n = random.randrange(0, 2, 2) | 4.0644 | 4 |
src/compas_ghpython/artists/mixins/faceartist.py | elidim/compas | 1 | 6627090 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas
from compas.utilities import color_to_colordict
import compas_ghpython
try:
import Rhino
except ImportError:
compas.raise_if_ironpython()
__all__ = ['FaceArtist']
class FaceArtist(o... | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import compas
from compas.utilities import color_to_colordict
import compas_ghpython
try:
import Rhino
except ImportError:
compas.raise_if_ironpython()
__all__ = ['FaceArtist']
class FaceArtist(o... | en | 0.712484 | Draw a selection of faces. Parameters ---------- fkeys : list A list of face keys identifying which faces to draw. The default is ``None``, in which case all faces are drawn. color : str, tuple, dict The color specififcation for the faces. ... | 2.726663 | 3 |
treeio/account/migrations/0001_initial.py | Andrea-MariaDB-2/treeio | 242 | 6627091 | <reponame>Andrea-MariaDB-2/treeio<filename>treeio/account/migrations/0001_initial.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
opera... | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Notification',
... | en | 0.769321 | # -*- coding: utf-8 -*- | 1.855903 | 2 |
nanoAPI/handler/router.py | Nandan-unni/Nano | 2 | 6627092 | <filename>nanoAPI/handler/router.py
from nanoAPI.utils import parse_route
class Router:
def __init__(self):
self.routes = []
def get(self, route: str, controller):
parsed_route = parse_route(route)
parsed_route["method"] = "GET"
parsed_route["controller"] = controller
... | <filename>nanoAPI/handler/router.py
from nanoAPI.utils import parse_route
class Router:
def __init__(self):
self.routes = []
def get(self, route: str, controller):
parsed_route = parse_route(route)
parsed_route["method"] = "GET"
parsed_route["controller"] = controller
... | none | 1 | 2.871114 | 3 | |
EXIFnaming/nameop.py | mvolkert/EXIFnaming | 0 | 6627093 | <filename>EXIFnaming/nameop.py
#!/usr/bin/env python3
"""
Organizing fotos according to naming conventions definied by readexif.rename and external programs
dependencies: -
"""
import codecs
import csv
import datetime as dt
import os
import re
from typing import Optional, Match, Iterable, Any, IO, Tuple, List
import ... | <filename>EXIFnaming/nameop.py
#!/usr/bin/env python3
"""
Organizing fotos according to naming conventions definied by readexif.rename and external programs
dependencies: -
"""
import codecs
import csv
import datetime as dt
import os
import re
from typing import Optional, Match, Iterable, Any, IO, Tuple, List
import ... | en | 0.803134 | #!/usr/bin/env python3 Organizing fotos according to naming conventions definied by readexif.rename and external programs dependencies: - put each kind of series in its own directory # TLM: Timelapse manual - pictures on different days to be combined to a Timelapse #dirs:%d #files:%d", dirpath, len(dirnames), len(file... | 1.99111 | 2 |
core/backend/djacket/urls.py | Djacket/djacket | 85 | 6627094 | <reponame>Djacket/djacket
from django.conf import settings
from django.contrib import admin
from django.views.static import serve
from django.conf.urls import include, url
from user.views import user_deposit
from djacket.views import index
# Djacket main urls will be addressed here.
urlpatterns = [
url(r'^admin... | from django.conf import settings
from django.contrib import admin
from django.views.static import serve
from django.conf.urls import include, url
from user.views import user_deposit
from djacket.views import index
# Djacket main urls will be addressed here.
urlpatterns = [
url(r'^admin/doc/', include('django.co... | en | 0.815429 | # Djacket main urls will be addressed here. # project docs view. # admin interface. # import repository app urls with no prefix. # import user app urls with 'account' prefix. # show user deposit for url '/username'. # index changes to logged in user if he/she is authenticated or to djacket intro if not. # serve static ... | 2.063095 | 2 |
submissions/abc156/b.py | m-star18/atcoder | 1 | 6627095 | <gh_stars>1-10
import sys
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
sys.setrecursionlimit(10 ** 7)
def Base_10_to_n(X, n):
if int(X / n):
return Base_10_to_n(int(X / n), n) + str(X % n)
return str(X % n)
n, k = map(int, readline().split(... | import sys
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
sys.setrecursionlimit(10 ** 7)
def Base_10_to_n(X, n):
if int(X / n):
return Base_10_to_n(int(X / n), n) + str(X % n)
return str(X % n)
n, k = map(int, readline().split())
print(len(Ba... | none | 1 | 2.953619 | 3 | |
pywizlight/__init__.py | UH-60/pywizlight | 221 | 6627096 | <filename>pywizlight/__init__.py<gh_stars>100-1000
from pywizlight.bulb import PilotBuilder, PilotParser, wizlight
from pywizlight import discovery
from pywizlight.scenes import SCENES
from pywizlight.bulblibrary import BulbType
__all__ = [
"BulbType",
"discovery",
"PilotBuilder",
"PilotParser",
"... | <filename>pywizlight/__init__.py<gh_stars>100-1000
from pywizlight.bulb import PilotBuilder, PilotParser, wizlight
from pywizlight import discovery
from pywizlight.scenes import SCENES
from pywizlight.bulblibrary import BulbType
__all__ = [
"BulbType",
"discovery",
"PilotBuilder",
"PilotParser",
"... | none | 1 | 1.483598 | 1 | |
layers/__init__.py | exityan/reid-strong-baseline | 0 | 6627097 | <gh_stars>0
# encoding: utf-8
"""
@author: liaoxingyu
@contact: <EMAIL>
"""
import torch.nn.functional as F
from .triplet_loss import TripletLoss, CrossEntropyLabelSmooth
from .center_loss import CenterLoss
def make_loss(cfg, num_classes): # modified by gu
sampler = cfg.DATALOADER.SAMPLER
if cfg.MODEL.M... | # encoding: utf-8
"""
@author: liaoxingyu
@contact: <EMAIL>
"""
import torch.nn.functional as F
from .triplet_loss import TripletLoss, CrossEntropyLabelSmooth
from .center_loss import CenterLoss
def make_loss(cfg, num_classes): # modified by gu
sampler = cfg.DATALOADER.SAMPLER
if cfg.MODEL.METRIC_LOSS_T... | en | 0.793926 | # encoding: utf-8 @author: liaoxingyu @contact: <EMAIL> # modified by gu # triplet loss # new add by luo # modified by gu # center loss # triplet loss # center loss # new add by luo | 2.183752 | 2 |
GununMaddesi.py | ahmetlii/GununMaddesi | 0 | 6627098 | # -*- coding: utf-8 -*-
# !/usr/bin/python
import mavri
import datetime
from random import randint
wiki = 'tr.wikipedia'
username='Mavrikant Bot'
xx = mavri.login(wiki, username)
one_day = datetime.timedelta(days=1)
baslangic = datetime.date(2015, 9, 1) # Bu tarihten öncesinde GM sorunlu.
bugun = datetime.date(date... | # -*- coding: utf-8 -*-
# !/usr/bin/python
import mavri
import datetime
from random import randint
wiki = 'tr.wikipedia'
username='Mavrikant Bot'
xx = mavri.login(wiki, username)
one_day = datetime.timedelta(days=1)
baslangic = datetime.date(2015, 9, 1) # Bu tarihten öncesinde GM sorunlu.
bugun = datetime.date(date... | tr | 0.999197 | # -*- coding: utf-8 -*- # !/usr/bin/python # Bu tarihten öncesinde GM sorunlu. # 2 gün sonrası için kontrol yap # Başlangıç ve Bugün arasında rasgele bir tarih seç # Yarının GM sayfası yok # Kaynak sayfa bul ve içeriğini kopyala # Sayfa boş çıktı. Sonraki güne geç. # Kaynak sayfa ile gelecek GM sayfasını oluştur # Yarı... | 2.800514 | 3 |
pytests/test_BoundaryDetector.py | calumcorrie/Meraki-Crowd-Interface | 0 | 6627099 | import os
import sys
import numpy as np
# import BoundaryDetector from lib directory
parentddir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
sys.path.append(parentddir)
from lib.BoundaryDetector import BoundaryDetector
# generate expected map
expected_sym_map = np.ones((100,100),dtype=... | import os
import sys
import numpy as np
# import BoundaryDetector from lib directory
parentddir = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
sys.path.append(parentddir)
from lib.BoundaryDetector import BoundaryDetector
# generate expected map
expected_sym_map = np.ones((100,100),dtype=... | en | 0.475491 | # import BoundaryDetector from lib directory # generate expected map | 2.355141 | 2 |
tests/test_maybe.py | darkfeline/mir.monads | 0 | 6627100 | <gh_stars>0
# Copyright (C) 2016 <NAME>
#
# 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 (C) 2016 <NAME>
#
# 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, s... | en | 0.844457 | # Copyright (C) 2016 <NAME> # # 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, s... | 2.316909 | 2 |
users-profils-Q/Tests/test_profiles_service_request.py | Enaifuos/Recommandation-System-Food-Eatrack-Application | 0 | 6627101 | import sys
import unittest
from collections import OrderedDict
#sys.path.append("..")
from src.client_side import profiles_service_requester as rq
import pandas as pd
import os
package_dir = os.path.dirname(os.path.abspath(__file__))
class profiles_service_requester_test(unittest.TestCase):
"""Test case utili... | import sys
import unittest
from collections import OrderedDict
#sys.path.append("..")
from src.client_side import profiles_service_requester as rq
import pandas as pd
import os
package_dir = os.path.dirname(os.path.abspath(__file__))
class profiles_service_requester_test(unittest.TestCase):
"""Test case utili... | fr | 0.984008 | #sys.path.append("..") Test case utilisé pour tester les fonctionnalités du module profile_service_requester # pas utilisé pour l'instant ! #print("\n") #print(profiles_file[profiles_file['user_id'] == int(self.existant_id)]) Test case utilisé pour tester récupération du profil d'un utilisateur existant Test case utili... | 2.700447 | 3 |
src/models/debug_fetch_data.py | voreille/plc_seg | 0 | 6627102 | <reponame>voreille/plc_seg
import os
from pathlib import Path
from random import shuffle
import datetime
import dotenv
import h5py
import pandas as pd
from src.models.fetch_data_from_hdf5 import get_tf_data
project_dir = Path(__file__).resolve().parents[2]
dotenv_path = project_dir / ".env"
dotenv.load_dotenv(str(do... | import os
from pathlib import Path
from random import shuffle
import datetime
import dotenv
import h5py
import pandas as pd
from src.models.fetch_data_from_hdf5 import get_tf_data
project_dir = Path(__file__).resolve().parents[2]
dotenv_path = project_dir / ".env"
dotenv.load_dotenv(str(dotenv_path))
log_dir = proje... | none | 1 | 2.160693 | 2 | |
recurring_content_detector/keras_rmac/__init__.py | busterbeam/recurring-content-detector | 1 | 6627103 | from . import rmac | from . import rmac | none | 1 | 1.096897 | 1 | |
entropylab/graph_experiment.py | IgorQM/entropy | 0 | 6627104 | <reponame>IgorQM/entropy<filename>entropylab/graph_experiment.py
import asyncio
import enum
import sys
import traceback
from copy import deepcopy
from datetime import datetime
from inspect import signature, iscoroutinefunction, getfullargspec
from itertools import count
from typing import Optional, Dict, Any, S... | import asyncio
import enum
import sys
import traceback
from copy import deepcopy
from datetime import datetime
from inspect import signature, iscoroutinefunction, getfullargspec
from itertools import count
from typing import Optional, Dict, Any, Set, Union, Callable, Coroutine, Iterable
from graphviz import ... | en | 0.782901 | decorator for running using the given python function as a PyNode
:param label: node label
:param input_vars: dictionary of node inputs, keys are input names.
the input values should be defined as the following:
>>>input_vars={"a": node.outputs["x"]}
... | 2.635437 | 3 |
livecoin/spiders/crypto.py | Mario-D93/livecoin | 0 | 6627105 | # -*- coding: utf-8 -*-
import scrapy
from scrapy_splash import SplashRequest
from datetime import date
class CryptoSpider(scrapy.Spider):
name = 'crypto'
allowed_domains = ['www.livecoin.net/en']
script = '''
function main(splash, args)
splash.private_mode_enabled = False
... | # -*- coding: utf-8 -*-
import scrapy
from scrapy_splash import SplashRequest
from datetime import date
class CryptoSpider(scrapy.Spider):
name = 'crypto'
allowed_domains = ['www.livecoin.net/en']
script = '''
function main(splash, args)
splash.private_mode_enabled = False
... | en | 0.333476 | # -*- coding: utf-8 -*- function main(splash, args) splash.private_mode_enabled = False assert(splash:go(args.url)) splash:wait(1) btn = splash:select_all(".filterPanelItem___2z5Gb") btn[3]:mouse_click() splash:wait(1) ... | 2.706578 | 3 |
src/Random.py | eatPorkAndSeePigRun/ReliableTransport | 0 | 6627106 | # coding: utf-8
import random
class Random(object):
""" 这个类的代码不能修改 """
""" 一个均匀的随机数生成器 """
def __init__(self, size=100):
self.size = 0
self.seeds = []
for i in range(size):
self.seeds.append(0)
def random(self):
if len(self.seeds) == 0:
return ... | # coding: utf-8
import random
class Random(object):
""" 这个类的代码不能修改 """
""" 一个均匀的随机数生成器 """
def __init__(self, size=100):
self.size = 0
self.seeds = []
for i in range(size):
self.seeds.append(0)
def random(self):
if len(self.seeds) == 0:
return ... | zh | 0.992744 | # coding: utf-8 这个类的代码不能修改 一个均匀的随机数生成器 | 3.408604 | 3 |
app/ingest/domain/services/process_service.py | harvard-lts/import-management-service | 0 | 6627107 | <filename>app/ingest/domain/services/process_service.py
"""
This module defines a ProcessService, which is a domain service that defines Process operations.
"""
from logging import Logger
from app.ingest.domain.services.exceptions.ingest_service_exception import IngestServiceException
from app.ingest.domain.services.... | <filename>app/ingest/domain/services/process_service.py
"""
This module defines a ProcessService, which is a domain service that defines Process operations.
"""
from logging import Logger
from app.ingest.domain.services.exceptions.ingest_service_exception import IngestServiceException
from app.ingest.domain.services.... | en | 0.445842 | This module defines a ProcessService, which is a domain service that defines Process operations. Handles a Process Status message. :param message_body: message body :type message_body: dict :param message_id: message id :type message_id: str :raises ProcessServiceException | 2.385827 | 2 |
haystack/fields.py | pbs/django-haystack | 2 | 6627108 | <reponame>pbs/django-haystack<gh_stars>1-10
import re
from django.utils import datetime_safe
from django.template import loader, Context
from haystack.exceptions import SearchFieldError
class NOT_PROVIDED:
pass
DATETIME_REGEX = re.compile('^(?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})(T|\s+)(?P<hour>\d{2}):(... | import re
from django.utils import datetime_safe
from django.template import loader, Context
from haystack.exceptions import SearchFieldError
class NOT_PROVIDED:
pass
DATETIME_REGEX = re.compile('^(?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})(T|\s+)(?P<hour>\d{2}):(?P<minute>\d{2}):(?P<second>\d{2}).*?$')
#... | en | 0.840489 | # All the SearchFields variants. The base implementation of a search field. # Track what the index thinks this field is called. # We supply the facet_class for making it easy to create a faceted # field based off of this field. Returns a boolean of whether this field has a default value. Returns the default value for t... | 2.466636 | 2 |
pyshley/sys/backup.py | IndiBowstring/pyshley | 0 | 6627109 | import os
from _datetime import datetime
# TODO: delete hint
# The current full container list is pyshley.lib.config.foundrySettings['dockerContainers'].keys()
def dockerStop(containers: list) -> None:
"""
Stops each listed container.
Parameters:
arg1 (list): List of container names.
"""
p... | import os
from _datetime import datetime
# TODO: delete hint
# The current full container list is pyshley.lib.config.foundrySettings['dockerContainers'].keys()
def dockerStop(containers: list) -> None:
"""
Stops each listed container.
Parameters:
arg1 (list): List of container names.
"""
p... | en | 0.65728 | # TODO: delete hint # The current full container list is pyshley.lib.config.foundrySettings['dockerContainers'].keys() Stops each listed container. Parameters: arg1 (list): List of container names. Starts each listed container. Parameters: arg1 (list): List of container names. " Creates a tarball ... | 2.476569 | 2 |
src/oci/apm_config/models/create_metric_group_details.py | LaudateCorpus1/oci-python-sdk | 0 | 6627110 | <reponame>LaudateCorpus1/oci-python-sdk
# coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.ap... | # coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | en | 0.677849 | # coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... | 1.993859 | 2 |
equium/__init__.py | johnpaulett/equium-py | 0 | 6627111 | __version__ = '0.0.1'
class Object:
def __eq__(self, other):
return not super().__eq__(other)
| __version__ = '0.0.1'
class Object:
def __eq__(self, other):
return not super().__eq__(other)
| none | 1 | 1.949007 | 2 | |
src/sage/categories/category_types.py | fchapoton/sage | 2 | 6627112 | """
Specific category classes
This is placed in a separate file from categories.py to avoid circular imports
(as morphisms must be very low in the hierarchy with the new coercion model).
"""
from __future__ import absolute_import
#*****************************************************************************
# Copyri... | """
Specific category classes
This is placed in a separate file from categories.py to avoid circular imports
(as morphisms must be very low in the hierarchy with the new coercion model).
"""
from __future__ import absolute_import
#*****************************************************************************
# Copyri... | en | 0.541304 | Specific category classes This is placed in a separate file from categories.py to avoid circular imports (as morphisms must be very low in the hierarchy with the new coercion model). #***************************************************************************** # Copyright (C) 2005 <NAME> <<EMAIL>> and # ... | 1.948597 | 2 |
app/service/learning_svc.py | mihaid-b/caldera | 0 | 6627113 | import itertools
import glob
import re
from base64 import b64decode
from importlib import import_module
from app.objects.secondclass.c_relationship import Relationship
from app.objects.secondclass.c_link import update_scores
from app.service.interfaces.i_learning_svc import LearningServiceInterface
from app.utility.ba... | import itertools
import glob
import re
from base64 import b64decode
from importlib import import_module
from app.objects.secondclass.c_relationship import Relationship
from app.objects.secondclass.c_link import update_scores
from app.service.interfaces.i_learning_svc import LearningServiceInterface
from app.utility.ba... | en | 0.841349 | # relationships require at least 2 variables | 2.142203 | 2 |
beluga/continuation/__init__.py | doublefloyd/beluga | 20 | 6627114 | """
Module: continuation
"""
from beluga.continuation.continuation import (ContinuationList, ContinuationVariable, ManualStrategy,
ProductStrategy, BisectionStrategy, run_continuation_set)
from beluga.continuation.guess_generators import guess_generator, GuessGenerator, m... | """
Module: continuation
"""
from beluga.continuation.continuation import (ContinuationList, ContinuationVariable, ManualStrategy,
ProductStrategy, BisectionStrategy, run_continuation_set)
from beluga.continuation.guess_generators import guess_generator, GuessGenerator, m... | fr | 0.108381 | Module: continuation | 1.475788 | 1 |
describe.py | jeffh/describe | 3 | 6627115 | <gh_stars>1-10
#!/usr/bin/env python
import os
execfile(
os.path.join(os.path.abspath(os.path.dirname(__file__)), 'describe', 'main.py')
)
| #!/usr/bin/env python
import os
execfile(
os.path.join(os.path.abspath(os.path.dirname(__file__)), 'describe', 'main.py')
) | ru | 0.26433 | #!/usr/bin/env python | 1.224636 | 1 |
BeiKeZuFangSpider/spiders/BeiKeSpider.py | sunhailin-Leo/BeiKeZuFangSpider | 4 | 6627116 | # -*- coding: UTF-8 -*-
"""
Created on 2018年9月17日
@author: Leo
"""
import re
import uuid
from collections import OrderedDict
# Scrapy
import scrapy
# 项目内部库
from BeiKeZuFangSpider.utils.city_util import CityInfoSpider
from BeiKeZuFangSpider.utils.common_utils import DictMatching, flatten
class BeiKeScrapySpider(scra... | # -*- coding: UTF-8 -*-
"""
Created on 2018年9月17日
@author: Leo
"""
import re
import uuid
from collections import OrderedDict
# Scrapy
import scrapy
# 项目内部库
from BeiKeZuFangSpider.utils.city_util import CityInfoSpider
from BeiKeZuFangSpider.utils.common_utils import DictMatching, flatten
class BeiKeScrapySpider(scra... | zh | 0.860542 | # -*- coding: UTF-8 -*- Created on 2018年9月17日 @author: Leo # Scrapy # 项目内部库 数据初始化 :param city: 城市名称 :param area: 区域名称 :param metro: 地铁线路名称 # 启动的爬虫的URL # 城市 # 城市不能为空 # 存在当前城市的二手房数据 # 爬取当前城市的全量数据 # 总页数 # 开始爬取第一页 #contentList".format(self.start_urls[0], 1), # 房屋数据字典(为了兼容其他3.X版本使用了有序字典OrderDict) # 房... | 2.519023 | 3 |
test/trainer_class_test.py | SamiIbishi/applied-machine-learning | 7 | 6627117 | import torch
import torchvision
from src.utils import utils_tensorboard
from src.data_loader.FaceRecognitionDataset import FaceRecognitionDataset
from src.data_loader import DataSplitter
from src.model.FaceNet import FaceNet
from src.trainer.FaceNetTrainer import FaceNetTrainer
import time
import src.utils.utils_image... | import torch
import torchvision
from src.utils import utils_tensorboard
from src.data_loader.FaceRecognitionDataset import FaceRecognitionDataset
from src.data_loader import DataSplitter
from src.model.FaceNet import FaceNet
from src.trainer.FaceNetTrainer import FaceNetTrainer
import time
import src.utils.utils_image... | en | 0.829459 | # write graph of model to tensorboard # tensorboard_writer.add_graph(model, images) # write sample images to tensorboard # Deleting image variables to free RAM | 2.202111 | 2 |
Python/0191_number_of_1_bits.py | codingyen/CodeAlone | 2 | 6627118 | <filename>Python/0191_number_of_1_bits.py
# Try to use bit manipulation.
class Solution:
def hammingWeight(self, n):
b = bin(n)[2:]
counter = 0
for i in b:
if i == '1':
counter += 1
return counter
if __name__ == "__main__":
n = 11
s = Solution()... | <filename>Python/0191_number_of_1_bits.py
# Try to use bit manipulation.
class Solution:
def hammingWeight(self, n):
b = bin(n)[2:]
counter = 0
for i in b:
if i == '1':
counter += 1
return counter
if __name__ == "__main__":
n = 11
s = Solution()... | en | 0.848346 | # Try to use bit manipulation. | 3.384423 | 3 |
slope/gaussian_hill_grad.py | UP-RS-ESP/GEW-DAP04-WS201819 | 2 | 6627119 | import numpy as np
from matplotlib import pyplot as pl
shape = (14, 20)
width = 0.15
xstart = -1.5
ystart = -1.1
xb = np.arange(xstart, xstart+(shape[1]+1) * width, width)
yb = np.arange(ystart, ystart+(shape[0]+1) * width, width)
xc = xb[:-1] + width/2
yc = yb[:-1] + width/2
X, Y = np.meshgrid(xc, yc)
dem = np.exp(-... | import numpy as np
from matplotlib import pyplot as pl
shape = (14, 20)
width = 0.15
xstart = -1.5
ystart = -1.1
xb = np.arange(xstart, xstart+(shape[1]+1) * width, width)
yb = np.arange(ystart, ystart+(shape[0]+1) * width, width)
xc = xb[:-1] + width/2
yc = yb[:-1] + width/2
X, Y = np.meshgrid(xc, yc)
dem = np.exp(-... | none | 1 | 2.260411 | 2 | |
imagespace/server/imageprefix_rest.py | amirhosf/image_space | 0 | 6627120 | <filename>imagespace/server/imageprefix_rest.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc.
#
# Licensed under the Apache License, Version 2.0 ( the "License" );
# you may not use this file except in complianc... | <filename>imagespace/server/imageprefix_rest.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc.
#
# Licensed under the Apache License, Version 2.0 ( the "License" );
# you may not use this file except in complianc... | en | 0.565926 | #!/usr/bin/env python # -*- coding: utf-8 -*- ############################################################################### # Copyright Kitware Inc. # # Licensed under the Apache License, Version 2.0 ( the "License" ); # you may not use this file except in compliance with the License. # You may obtain a copy of t... | 2.019131 | 2 |
galaxy/api/views/views.py | bmclaughlin/galaxy | 904 | 6627121 | <gh_stars>100-1000
# (c) 2012-2018, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) an... | # (c) 2012-2018, Ansible by Red Hat
#
# This file is part of Ansible Galaxy
#
# Ansible Galaxy is free software: you can redistribute it and/or modify
# it under the terms of the Apache License as published by
# the Apache Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
... | en | 0.801559 | # (c) 2012-2018, Ansible by Red Hat # # This file is part of Ansible Galaxy # # Ansible Galaxy is free software: you can redistribute it and/or modify # it under the terms of the Apache License as published by # the Apache Software Foundation, either version 2 of the License, or # (at your option) any later version. # ... | 1.45225 | 1 |
yt_dlp/extractor/arte.py | ouwou/yt-dlp | 2 | 6627122 | # coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import (
compat_str,
)
from ..utils import (
ExtractorError,
int_or_none,
parse_qs,
qualities,
try_get,
unified_strdate,
url_or_none,
)
class ArteTVBaseIE(InfoExtractor):... | # coding: utf-8
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import (
compat_str,
)
from ..utils import (
ExtractorError,
int_or_none,
parse_qs,
qualities,
try_get,
unified_strdate,
url_or_none,
)
class ArteTVBaseIE(InfoExtractor):... | en | 0.816777 | # coding: utf-8 (?x) https?:// (?: (?:www\.)?arte\.tv/(?P<lang>%(langs)s)/videos| api\.arte\.tv/api/player/v\d+/config/(?P<lang_2>%(langs)s) ) /(?P<id>\d{6}-\d{3}-[AF]) # L... | 2.012004 | 2 |
evaluate.py | nihalsid/texture_fields | 78 | 6627123 | <reponame>nihalsid/texture_fields
import argparse
import pandas as pd
import os
import glob
from mesh2tex import config
from mesh2tex.eval import evaluate_generated_images
categories = {'02958343': 'cars', '03001627': 'chairs',
'02691156': 'airplanes', '04379243': 'tables',
'02828884': 'be... | import argparse
import pandas as pd
import os
import glob
from mesh2tex import config
from mesh2tex.eval import evaluate_generated_images
categories = {'02958343': 'cars', '03001627': 'chairs',
'02691156': 'airplanes', '04379243': 'tables',
'02828884': 'benches', '02933112': 'cabinets',
... | none | 1 | 2.513184 | 3 | |
step1/taptap.py | karoyqiu/xbmc-kodi-private-china-addons | 420 | 6627124 | <reponame>karoyqiu/xbmc-kodi-private-china-addons
#编辑推荐视频列表
import json
import requests
from bs4 import BeautifulSoup
url = 'https://www.taptap.com/webapiv2/video/v1/refresh?type=editors_choice&from=1&limit=10&X-UA=V%3D1%26PN%3DWebApp%26LANG%3Dzh_CN%26VN%3D0.1.0%26LOC%3DCN%26PLT%3DPC'
headers = {'user-agent' : 'Mozi... | #编辑推荐视频列表
import json
import requests
from bs4 import BeautifulSoup
url = 'https://www.taptap.com/webapiv2/video/v1/refresh?type=editors_choice&from=1&limit=10&X-UA=V%3D1%26PN%3DWebApp%26LANG%3Dzh_CN%26VN%3D0.1.0%26LOC%3DCN%26PLT%3DPC'
headers = {'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/5... | zh | 0.150416 | #编辑推荐视频列表 #print(rec.text) #print(j['data']) #为你推荐视频列表 #print(rec.text) #print(j['data']) #由视频链接爬出视频m3u8 #print(rectext[str1+17:str2-1]) #print(type(mainm3u8)) #print(mainm3u8) #j = json.loads(rec.text) #print(j['data']) #print(rectext) # 查找数字 # 查找数字 #print(m3u8url) #排行榜 #print(rec.text) #游戏分类 #print(rec.text) #详情获取视频 ... | 2.994557 | 3 |
utils/loss/dice_loss.py | bhklab/ptl-oar-segmentation | 3 | 6627125 | """
get_tp_fp_fn, SoftDiceLoss, and DC_and_CE/TopK_loss are from https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/training/loss_functions
"""
import torch
from .ND_Crossentropy import CrossentropyND, TopKLoss, WeightedCrossEntropyLoss
from torch import nn
from torch.autograd import Variable
from torch imp... | """
get_tp_fp_fn, SoftDiceLoss, and DC_and_CE/TopK_loss are from https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/training/loss_functions
"""
import torch
from .ND_Crossentropy import CrossentropyND, TopKLoss, WeightedCrossEntropyLoss
from torch import nn
from torch.autograd import Variable
from torch imp... | en | 0.671026 | get_tp_fp_fn, SoftDiceLoss, and DC_and_CE/TopK_loss are from https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/training/loss_functions # copy from: https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/utilities/nd_softmax.py # copy from: https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/utilities/tensor_utilit... | 2.060425 | 2 |
Calibrador.py | osmarnds/DeMOLidor | 1 | 6627126 | <filename>Calibrador.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
#######################################################################
##### #####
##### <NAME> #####
##### <EMAIL> ... | <filename>Calibrador.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
#######################################################################
##### #####
##### <NAME> #####
##### <EMAIL> ... | en | 0.204993 | # -*- coding: utf-8 -*- #!/usr/bin/env python ####################################################################### ##### ##### ##### <NAME> ##### ##### <EMAIL> ##### ##### ... | 2.706042 | 3 |
solution/longestValidParentheses.py | ccwwonebyone/leetcode | 0 | 6627127 | from typing import List
class Solution:
def longestValidParentheses(self, s: str) -> int:
res = 0
stack = [-1]
for i, chars in enumerate(s):
if chars == "(":
stack.append(i)
else:
stack.pop()
if not stack:
... | from typing import List
class Solution:
def longestValidParentheses(self, s: str) -> int:
res = 0
stack = [-1]
for i, chars in enumerate(s):
if chars == "(":
stack.append(i)
else:
stack.pop()
if not stack:
... | none | 1 | 3.454796 | 3 | |
4/oop16.py | ikramulkayes/Python_season2 | 0 | 6627128 | class Author:
def __init__(self,*args):
if len(args)==0:
self.name = "Default"
self.books = []
elif len(args) == 1:
self.name = args[0]
self.books = []
else:
self.name = args[0]
self.books = args[1::]
self.bo... | class Author:
def __init__(self,*args):
if len(args)==0:
self.name = "Default"
self.books = []
elif len(args) == 1:
self.name = args[0]
self.books = []
else:
self.name = args[0]
self.books = args[1::]
self.bo... | none | 1 | 3.833121 | 4 | |
projects/bugs/example2.py | shreystechtips/pythonbytes | 2 | 6627129 | <reponame>shreystechtips/pythonbytes
# Same program as 'example.py' but fewer lines, some minor changes
import turtle
from turtle import Turtle
turtle.bgcolor(.95, .91, .85) # conda Turtle uses floats from 0.0 to 1.0 for rgb values
s, s2, epsilon, close_distance, a_cumulative, nCycles = 390., 390./2., 0.2, 0.21, 0... | # Same program as 'example.py' but fewer lines, some minor changes
import turtle
from turtle import Turtle
turtle.bgcolor(.95, .91, .85) # conda Turtle uses floats from 0.0 to 1.0 for rgb values
s, s2, epsilon, close_distance, a_cumulative, nCycles = 390., 390./2., 0.2, 0.21, 0., 0.
def ni(i): return (i+1)%4 # ... | en | 0.744654 | # Same program as 'example.py' but fewer lines, some minor changes # conda Turtle uses floats from 0.0 to 1.0 for rgb values # ni is 'next index' in the square of bugs 0, 1, 2, 3 # a, b, c, d --> a[] we create a list of turtles to simplify the code # box > b | 3.448307 | 3 |
lib/django-1.4/django/contrib/gis/db/backends/oracle/models.py | MiCHiLU/google_appengine_sdk | 790 | 6627130 | """
The GeometryColumns and SpatialRefSys models for the Oracle spatial
backend.
It should be noted that Oracle Spatial does not have database tables
named according to the OGC standard, so the closest analogs are used.
For example, the `USER_SDO_GEOM_METADATA` is used for the GeometryColumns
model and the `SDO_... | """
The GeometryColumns and SpatialRefSys models for the Oracle spatial
backend.
It should be noted that Oracle Spatial does not have database tables
named according to the OGC standard, so the closest analogs are used.
For example, the `USER_SDO_GEOM_METADATA` is used for the GeometryColumns
model and the `SDO_... | en | 0.757492 | The GeometryColumns and SpatialRefSys models for the Oracle spatial backend. It should be noted that Oracle Spatial does not have database tables named according to the OGC standard, so the closest analogs are used. For example, the `USER_SDO_GEOM_METADATA` is used for the GeometryColumns model and the `SDO_COORD... | 2.398881 | 2 |
filters/oscillatory_hallucination/filter.py | raft001/NL-Augmenter | 0 | 6627131 | from collections import Counter
from nltk import ngrams
from transformers import BasicTokenizer
from interfaces.SentenceOperation import SentenceAndTargetOperation
from tasks.TaskTypes import TaskType
class OscillatoryHallucinationFilter(SentenceAndTargetOperation):
"""N-gram Count based Heuristic for Detectin... | from collections import Counter
from nltk import ngrams
from transformers import BasicTokenizer
from interfaces.SentenceOperation import SentenceAndTargetOperation
from tasks.TaskTypes import TaskType
class OscillatoryHallucinationFilter(SentenceAndTargetOperation):
"""N-gram Count based Heuristic for Detectin... | en | 0.922208 | N-gram Count based Heuristic for Detecting Oscillatory Hallucinations Paper: https://arxiv.org/pdf/2104.06683.pdf The paper did not explicitly tokenize since IWSLT is available in tokenized form. Tokenization used here = Whitespace + Punctuation, as in multilingual BERT pre-tokenization. Finally, one mo... | 2.803286 | 3 |
OutputImageAsPNGs.py | w326004741/MNIST-Data-Set-Problem-Sheet | 0 | 6627132 | #import OutputImageToConsole, python imaging library, numpy
import OutputImageToConsole as out
import PIL.Image as pil
import numpy as np
#defined function
def outImages(type):
#set if loop
if(type == 'test'):
#using len() return the length of an object(char,list,tuple,etc.) or number of items
f... | #import OutputImageToConsole, python imaging library, numpy
import OutputImageToConsole as out
import PIL.Image as pil
import numpy as np
#defined function
def outImages(type):
#set if loop
if(type == 'test'):
#using len() return the length of an object(char,list,tuple,etc.) or number of items
f... | en | 0.582738 | #import OutputImageToConsole, python imaging library, numpy #defined function #set if loop #using len() return the length of an object(char,list,tuple,etc.) or number of items #Convert PIL image.img is a PIL image #convert RGB mode #save image as RGB mode and output specific file name. #save imgname #set if loop #using... | 3.169237 | 3 |
sysinv/sysinv/sysinv/sysinv/puppet/dcdbsync.py | albailey/config | 10 | 6627133 | #
# Copyright (c) 2019 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sysinv.common import constants
from sysinv.common import utils
from sysinv.helm import helm
from sysinv.puppet import openstack
class DCDBsyncPuppet(openstack.OpenstackBasePuppet):
"""Class to encapsulate puppet operat... | #
# Copyright (c) 2019 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
from sysinv.common import constants
from sysinv.common import utils
from sysinv.helm import helm
from sysinv.puppet import openstack
class DCDBsyncPuppet(openstack.OpenstackBasePuppet):
"""Class to encapsulate puppet operat... | en | 0.889716 | # # Copyright (c) 2019 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # Class to encapsulate puppet operations for dcdbsync configuration # initial bootstrap is bound to localhost # The region in which the identity server can be found # The dcdbsync instance for openstack is authenticated with # ... | 1.707929 | 2 |
napari/layers/utils/stack_utils.py | davidpross/napari | 1 | 6627134 | <reponame>davidpross/napari<filename>napari/layers/utils/stack_utils.py
from __future__ import annotations
import itertools
from typing import TYPE_CHECKING, List
import numpy as np
from ...layers import Image
from ...layers.image._image_utils import guess_multiscale
from ...utils.colormaps import CYMRGB, MAGENTA_GR... | from __future__ import annotations
import itertools
from typing import TYPE_CHECKING, List
import numpy as np
from ...layers import Image
from ...layers.image._image_utils import guess_multiscale
from ...utils.colormaps import CYMRGB, MAGENTA_GREEN, Colormap
from ...utils.misc import ensure_iterable, ensure_sequence... | en | 0.727685 | Take a single index slice from array using slicing. Equivalent to :func:`np.take`, but using slicing, which ensures that the output is a view of the original array. Parameters ---------- array : NumPy or other array Input array to be sliced. axis : int The axis along which to s... | 2.604029 | 3 |
count_classes.py | DerekGloudemans/detrac-lbt | 2 | 6627135 | <gh_stars>1-10
import argparse
import os,sys,inspect
import numpy as np
import random
import time
import math
import _pickle as pickle
random.seed = 0
import cv2
from PIL import Image
import torch
import matplotlib.pyplot as plt
from config.data_paths import data_paths
# detector_path = os.path.join(os.getcwd(),"... | import argparse
import os,sys,inspect
import numpy as np
import random
import time
import math
import _pickle as pickle
random.seed = 0
import cv2
from PIL import Image
import torch
import matplotlib.pyplot as plt
from config.data_paths import data_paths
# detector_path = os.path.join(os.getcwd(),"models","pytorc... | en | 0.669599 | # detector_path = os.path.join(os.getcwd(),"models","pytorch_retinanet_detector") # sys.path.insert(0,detector_path) # get list of all files in directory and corresponding path to track and labels # get track_dict #tracks.reverse() #override tracks with a shorter list #tracks = [39761,40141,40213,40241,40963,40992,6352... | 1.990465 | 2 |
Python/Nqueen.py | montukv/Coding-problem-solutions | 0 | 6627136 | <filename>Python/Nqueen.py
def isSafe(board,x,y,n):
for row in range(x):
if(board[row][y] == 1):
return False
row = x
col = y
while(row>=0 and col>=0):
if(board[row][col] == 1):
return False
row -= 1
col -= 1
row = x
col = y
w... | <filename>Python/Nqueen.py
def isSafe(board,x,y,n):
for row in range(x):
if(board[row][y] == 1):
return False
row = x
col = y
while(row>=0 and col>=0):
if(board[row][col] == 1):
return False
row -= 1
col -= 1
row = x
col = y
w... | none | 1 | 3.674052 | 4 | |
PycharmProjects/pythonteste/ex044.py | caioalexleme/Curso_Python | 3 | 6627137 | <filename>PycharmProjects/pythonteste/ex044.py
valor = float(input('Qual o valor do produto? R$'))
pagamento = int(input('''Qual a forma de pagamento?
[1]À vista (dinheiro cheque)
[2]À vista no cartão
[3]Em até 2X no cartão
[4]3X ou mais no cartão
Digite aqui a opção: '''))
if pagamento == 1:
print('Você ganhou 1... | <filename>PycharmProjects/pythonteste/ex044.py
valor = float(input('Qual o valor do produto? R$'))
pagamento = int(input('''Qual a forma de pagamento?
[1]À vista (dinheiro cheque)
[2]À vista no cartão
[3]Em até 2X no cartão
[4]3X ou mais no cartão
Digite aqui a opção: '''))
if pagamento == 1:
print('Você ganhou 1... | pt | 0.985177 | Qual a forma de pagamento? [1]À vista (dinheiro cheque) [2]À vista no cartão [3]Em até 2X no cartão [4]3X ou mais no cartão Digite aqui a opção: | 4.017843 | 4 |
tensorflow_quantum/core/ops/math_ops/inner_product_op.py | amogh7joshi/quantum | 1 | 6627138 | # Copyright 2020 The TensorFlow Quantum 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... | # Copyright 2020 The TensorFlow Quantum 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 | 0.669814 | # Copyright 2020 The TensorFlow Quantum 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... | 2.117136 | 2 |
run.py | abhilashmnair/weather-webhook | 1 | 6627139 | <filename>run.py
from telegram import *
from telegram.ext import *
import requests
import json
token = 'YOUR_BOT_TOKEN'
bot = Bot(token)
updater = Updater(token,use_context=True)
dispatcher : Dispatcher = updater.dispatcher
def getWeatherData(city_name):
key = 'OpenWeatherAPI_KEY'
URL = f'https://... | <filename>run.py
from telegram import *
from telegram.ext import *
import requests
import json
token = 'YOUR_BOT_TOKEN'
bot = Bot(token)
updater = Updater(token,use_context=True)
dispatcher : Dispatcher = updater.dispatcher
def getWeatherData(city_name):
key = 'OpenWeatherAPI_KEY'
URL = f'https://... | none | 1 | 2.94703 | 3 | |
Chapter03/chapter_03_example_03.py | pesader/hands-on-music-generation-with-magenta | 0 | 6627140 | """
This example shows a polyphonic generation with the performance rnn model.
VERSION: Magenta 1.1.7
"""
import math
import os
import time
import magenta.music as mm
import tensorflow as tf
from magenta.models.performance_rnn import performance_sequence_generator
from note_seq.protobuf.generator_pb2 import Generato... | """
This example shows a polyphonic generation with the performance rnn model.
VERSION: Magenta 1.1.7
"""
import math
import os
import time
import magenta.music as mm
import tensorflow as tf
from magenta.models.performance_rnn import performance_sequence_generator
from note_seq.protobuf.generator_pb2 import Generato... | en | 0.847685 | This example shows a polyphonic generation with the performance rnn model. VERSION: Magenta 1.1.7 Generates and returns a new sequence given the sequence generator. Uses the bundle name to download the bundle in the "bundles" directory if it doesn't already exist, then uses the sequence generator and the gene... | 2.842292 | 3 |
January/Day6-Car-Pooling.py | tayyrov/Daily_Coding_Challenge | 1 | 6627141 | """
Question Source: https://leetcode.com/problems/car-pooling/
Level: Medium
Topic: Sorting, stimulation
Solver: Tayyrov
Date: 01.06.2022
"""
from typing import *
def carPooling(trips: List[List[int]], capacity: int) -> bool:
passenger_logistics = []
for nums_pass, add, remove in trips:
... | """
Question Source: https://leetcode.com/problems/car-pooling/
Level: Medium
Topic: Sorting, stimulation
Solver: Tayyrov
Date: 01.06.2022
"""
from typing import *
def carPooling(trips: List[List[int]], capacity: int) -> bool:
passenger_logistics = []
for nums_pass, add, remove in trips:
... | en | 0.793115 | Question Source: https://leetcode.com/problems/car-pooling/
Level: Medium
Topic: Sorting, stimulation
Solver: Tayyrov
Date: 01.06.2022 # minus comes before plus, meaning after sorting first we remove then we add. # print(passenger_logistics) [[2,1,5],[3,5,7]] => [(1, 2), (5, -2), (5, 3), (7, -3)] | 3.831848 | 4 |
python/pyspark/ml/param/_shared_params_code_gen.py | dobashim/spark | 0 | 6627142 | <reponame>dobashim/spark
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "... | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | en | 0.744116 | # # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not us... | 1.67705 | 2 |
models/1-Tom/train/kaggle-hubmap-main/src/02_train/run.py | navekshasood/HuBMAP---Hacking-the-Kidney | 0 | 6627143 | import time
import pandas as pd
import numpy as np
import gc
from os.path import join as opj
import matplotlib.pyplot as plt
import pickle
from tqdm import tqdm
import torchvision
import torch
from torch import nn, optim
from torch.utils.data import DataLoader
from dataset import HuBMAPDatasetTrain
from models import b... | import time
import pandas as pd
import numpy as np
import gc
from os.path import join as opj
import matplotlib.pyplot as plt
import pickle
from tqdm import tqdm
import torchvision
import torch
from torch import nn, optim
from torch.utils.data import DataLoader
from dataset import HuBMAPDatasetTrain
from models import b... | en | 0.356694 | Imshow for Tensor. # mean = np.array([0.5, 0.5, 0.5]) # std = np.array([0.5, 0.5, 0.5]) # inp = STD * inp + MEAN # pause a bit so that plots are updated #dataset #add pseudo label # dataloader #model # if pretrain_path_list is not None: # model.load_state_dict(torch.load(pretrain_path_list[fold])) # print("pre-... | 1.894844 | 2 |
tests/components/hue/conftest.py | bazwilliams/home-assistant | 1 | 6627144 | """Test helpers for Hue."""
from collections import deque
import logging
from unittest.mock import AsyncMock, Mock, patch
from aiohue.groups import Groups
from aiohue.lights import Lights
from aiohue.scenes import Scenes
from aiohue.sensors import Sensors
import pytest
from homeassistant.components import hue
from ho... | """Test helpers for Hue."""
from collections import deque
import logging
from unittest.mock import AsyncMock, Mock, patch
from aiohue.groups import Groups
from aiohue.lights import Lights
from aiohue.scenes import Scenes
from aiohue.sensors import Sensors
import pytest
from homeassistant.components import hue
from ho... | en | 0.86199 | Test helpers for Hue. # noqa: F401 Make the request refresh delay 0 for instant tests. Create a mock Hue bridge. Mock the Hue api. Create a mock API. Mock a Hue bridge. Load the Hue platform with the provided bridge for sensor-related platforms. # simulate a full setup by manually adding the bridge config entry # and m... | 2.352766 | 2 |
mlir/test/python/dialects/linalg/opdsl/emit_structured_generic.py | acidburn0zzz/llvm-project | 2,338 | 6627145 | <reponame>acidburn0zzz/llvm-project<filename>mlir/test/python/dialects/linalg/opdsl/emit_structured_generic.py<gh_stars>1000+
# RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
from mlir.dialects import builtin
from mlir.dialects import linalg
from mlir.dialects import std
from mlir.dialects.linalg.opdsl.lang imp... | # RUN: %PYTHON %s | FileCheck %s
from mlir.ir import *
from mlir.dialects import builtin
from mlir.dialects import linalg
from mlir.dialects import std
from mlir.dialects.linalg.opdsl.lang import *
T1 = TV.T1
T2 = TV.T2
@linalg_structured_op
def matmul_mono(
A=TensorDef(T, S.M, S.K),
B=TensorDef(T, S.K, S.... | en | 0.30148 | # RUN: %PYTHON %s | FileCheck %s # Multiplication indexing maps. We verify only the indexing maps of the # first multiplication and then do additional tests on casting and body # generation behavior. # CHECK: #[[$MUL_MAP_A:.+]] = affine_map<(d0, d1, d2) -> (d0, d2)> # CHECK: #[[$MUL_MAP_B:.+]] = affine_map<(d0, d1, d2)... | 2.016758 | 2 |
dlfairness/original_code/Balanced-Datasets-Are-Not-Enough/object_multilabel/adv/ae_adv_model.py | lin-tan/fairness-variance | 0 | 6627146 | import torch
import torch.nn as nn
import functools
import torch.nn.functional as F
import torchvision.models as models
import torch.nn.utils
from torch.autograd import Function
import copy
def get_norm_layer(norm_type='instance'):
if norm_type == 'batch':
norm_layer = functools.partial(nn.Bat... | import torch
import torch.nn as nn
import functools
import torch.nn.functional as F
import torchvision.models as models
import torch.nn.utils
from torch.autograd import Function
import copy
def get_norm_layer(norm_type='instance'):
if norm_type == 'batch':
norm_layer = functools.partial(nn.Bat... | en | 0.524742 | # with skip connection and pixel connection and smoothed # construct unet structure ## initialize bias # assume input image size = 224 # (ngf, 112, 112) # (ngf*2, 56, 56) # (ngf*4, 28, 28) # (ngf*8, 14, 14) # (ngf*8, 7, 7) # (ngf*8, 14, 14) # (ngf*4, 28, 28) # (ngf*2, 56, 56) # (ngf, 112, 112) # (3, 224, 224) | 2.478694 | 2 |
tools/accuracy_checker/setup.py | jkamelin/open_model_zoo | 2 | 6627147 | """
Copyright (c) 2018-2021 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | """
Copyright (c) 2018-2021 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | en | 0.742924 | Copyright (c) 2018-2021 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing... | 1.672402 | 2 |
protobuf-master/python/google/protobuf/internal/text_format_test.py | Fresher-Chen/tarsim | 0 | 6627148 | <reponame>Fresher-Chen/tarsim
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification,... | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that t... | en | 0.781157 | #! /usr/bin/env python # -*- coding: utf-8 -*- # # Protocol Buffers - Google's data interchange format # Copyright 2008 Google Inc. All rights reserved. # https://developers.google.com/protocol-buffers/ # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that t... | 1.620763 | 2 |
ambari-server/src/main/resources/stacks/ADH/1.5/services/HIVE/package/scripts/hive_server_interactive.py | kuhella/ambari | 0 | 6627149 | <gh_stars>0
#!/usr/bin/env python
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the... | #!/usr/bin/env python
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License");... | en | 0.779058 | #!/usr/bin/env python Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you... | 1.327337 | 1 |
rayml/pipelines/components/estimators/classifiers/vowpal_wabbit_classifiers.py | gcode-ai/rayml | 0 | 6627150 | """Vowpal Wabbit Classifiers."""
from abc import abstractmethod
from skopt.space import Integer, Real
from rayml.model_family import ModelFamily
from rayml.pipelines.components.estimators import Estimator
from rayml.problem_types import ProblemTypes
from rayml.utils.gen_utils import import_or_raise
class VowpalWabb... | """Vowpal Wabbit Classifiers."""
from abc import abstractmethod
from skopt.space import Integer, Real
from rayml.model_family import ModelFamily
from rayml.pipelines.components.estimators import Estimator
from rayml.problem_types import ProblemTypes
from rayml.utils.gen_utils import import_or_raise
class VowpalWabb... | en | 0.647025 | Vowpal Wabbit Classifiers. Vowpal Wabbit Base Classifier. Args: loss_function (str): Specifies the loss function to use. One of {"squared", "classic", "hinge", "logistic", "quantile"}. Defaults to "logistic". learning_rate (float): Boosting learning rate. Defaults to 0.5. decay_learning_rat... | 2.48788 | 2 |