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415d145766ab4dedf431022b54fe379823c64f40 | 182 | py | Python | version_check.py | git-ning/byte-of-python | 6b231667c6df30b009ac525276106cc0d9c839ce | [
"Apache-2.0"
] | 1 | 2017-08-23T02:18:29.000Z | 2017-08-23T02:18:29.000Z | version_check.py | git-ning/byte-of-python | 6b231667c6df30b009ac525276106cc0d9c839ce | [
"Apache-2.0"
] | null | null | null | version_check.py | git-ning/byte-of-python | 6b231667c6df30b009ac525276106cc0d9c839ce | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import sys, warnings
if sys.version_info[0] < 3:
warnings.warn('Need Python 3.0 for this program to run', RuntimeWarning)
else:
print('Procees as normal') | 22.75 | 76 | 0.708791 | #!/usr/bin/python
import sys, warnings
if sys.version_info[0] < 3:
warnings.warn('Need Python 3.0 for this program to run', RuntimeWarning)
else:
print('Procees as normal') | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b37d1c410788dc1e471824b9a7c765c37bbadd34 | 69 | py | Python | Exercicios/test.py | jotmar/PythonEx | bf026518ae5479d5c99ff7a4e95fc383dec22d36 | [
"MIT"
] | null | null | null | Exercicios/test.py | jotmar/PythonEx | bf026518ae5479d5c99ff7a4e95fc383dec22d36 | [
"MIT"
] | null | null | null | Exercicios/test.py | jotmar/PythonEx | bf026518ae5479d5c99ff7a4e95fc383dec22d36 | [
"MIT"
] | null | null | null | from datetime import datetime
print(str(datetime.today())[:4])
| 23 | 35 | 0.753623 | from datetime import date, datetime
print(str(datetime.today())[:4])
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
f0447c0cdbf4bc25eb65c3b05213081608f80569 | 4,084 | py | Python | cenv_tool/schemata.py | oozut/cenv_tool | a02977dc80a54c0045785ad97284fde0b9248aff | [
"MIT"
] | null | null | null | cenv_tool/schemata.py | oozut/cenv_tool | a02977dc80a54c0045785ad97284fde0b9248aff | [
"MIT"
] | null | null | null | cenv_tool/schemata.py | oozut/cenv_tool | a02977dc80a54c0045785ad97284fde0b9248aff | [
"MIT"
] | 1 | 2020-10-01T22:08:17.000Z | 2020-10-01T22:08:17.000Z | # -*- coding: utf-8 -*-
"""Contain schemata required by cenv-tool."""
| 29.171429 | 78 | 0.62904 | # -*- coding: utf-8 -*-
"""Contain schemata required by cenv-tool."""
from marshmallow import fields
from marshmallow import Schema
from marshmallow import validate
class SNPackage(Schema):
"""Contain the ``package``-section inside a ``meta.yaml``."""
name = fields.String(strict=True, required=True)
vers... | 0 | 0 | 0 | 3,727 | 0 | 0 | 0 | 29 | 250 |
3475a3835d34b20910fc7c5cc3289b8e260584d4 | 3,954 | py | Python | vocabquiz-autogen/main.py | jkcw/vocabquiz-autogen | 2242534d8142308dc8d5f318eb06b983df46e546 | [
"MIT"
] | 1 | 2021-08-21T05:00:34.000Z | 2021-08-21T05:00:34.000Z | vocabquiz-autogen/main.py | jkcw/vocabquiz-autogen | 2242534d8142308dc8d5f318eb06b983df46e546 | [
"MIT"
] | null | null | null | vocabquiz-autogen/main.py | jkcw/vocabquiz-autogen | 2242534d8142308dc8d5f318eb06b983df46e546 | [
"MIT"
] | null | null | null | import json
print(secret_key)
# TODO: get some of questions only, not all.
# TODO: present tense, verbs with "s"
# TODO: full stop of each sentence
# TODO: will print the error msg out "error:rm_answer_to_blank"
# TODO: quality of the dictionary is too low
# Load vocabulary list
text_file = open("temp/ietls-vocab-li... | 27.84507 | 116 | 0.620637 | import requests
import json
import random
from . import secretKey
print(secret_key)
# TODO: get some of questions only, not all.
# TODO: present tense, verbs with "s"
# TODO: full stop of each sentence
# TODO: will print the error msg out "error:rm_answer_to_blank"
# TODO: quality of the dictionary is too low
# Loa... | 0 | 0 | 0 | 2,637 | 0 | 0 | 0 | -12 | 134 |
a10094fe76dba801777a5fd274be9cca1ac53ad5 | 13,716 | py | Python | Evaluation/frame_prediction_BG.py | arpane4c5/ActivityNet | 31a0972bb7461107e24d2be4fb76bf168382016f | [
"MIT"
] | 13 | 2017-07-31T22:00:34.000Z | 2020-03-19T01:40:57.000Z | Evaluation/frame_prediction_BG.py | zhangxgu/ActivityNet-1 | 31a0972bb7461107e24d2be4fb76bf168382016f | [
"MIT"
] | 1 | 2018-05-25T02:31:04.000Z | 2018-05-28T07:20:32.000Z | Evaluation/frame_prediction_BG.py | zhangxgu/ActivityNet-1 | 31a0972bb7461107e24d2be4fb76bf168382016f | [
"MIT"
] | 6 | 2017-08-19T01:45:47.000Z | 2020-11-23T12:05:26.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 3 14:49:28 2017
@author: Arpan
Description: Use c3d trained model for prediction. To be executed after
training_model_m4.py
"""
import json
import os
import utils
import numpy as np
import h5py
import pandas as pd
import collections
import cv2
im... | 41.563636 | 146 | 0.651502 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 3 14:49:28 2017
@author: Arpan
Description: Use c3d trained model for prediction. To be executed after
training_model_m4.py
"""
import json
import os
import utils
import numpy as np
import h5py
import pandas as pd
import collections
import cv2
im... | 0 | 0 | 0 | 0 | 0 | 2,748 | 0 | 0 | 69 |
c363fa928990a80be5a5204729d760da5a3c9cb3 | 2,335 | py | Python | arc_tool/arc_tool.py | joe--cool/woodworking | 1fd54702c8e752b1e111554fe419065c7c5e0225 | [
"MIT"
] | null | null | null | arc_tool/arc_tool.py | joe--cool/woodworking | 1fd54702c8e752b1e111554fe419065c7c5e0225 | [
"MIT"
] | null | null | null | arc_tool/arc_tool.py | joe--cool/woodworking | 1fd54702c8e752b1e111554fe419065c7c5e0225 | [
"MIT"
] | null | null | null | import argparse
from fractions import Fraction
import math
import numpy as np
import pandas as pd
from tabulate import tabulate
# Formatting function
#def format_fraction(val):
# f = Fraction(val)
# return '{:>5} {:>3} /{:>3}'.format(, f.numerator, f.denominator)
# Parse command line
parser = argparse.Argument... | 46.7 | 161 | 0.652677 | import argparse
from fractions import Fraction
import math
import numpy as np
import pandas as pd
from tabulate import tabulate
# Formatting function
#def format_fraction(val):
# f = Fraction(val)
# return '{:>5} {:>3} /{:>3}'.format(, f.numerator, f.denominator)
# Parse command line
parser = argparse.Argument... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ee6d798cc2dcd7d17001dee8af0cee52840957a7 | 2,654 | py | Python | introduction/02_QueryParameters.py | IBM/api-samples | d69f7a7b74244012e835f023bceec2b0370be586 | [
"Apache-2.0"
] | 172 | 2015-02-18T21:18:31.000Z | 2022-03-13T17:51:11.000Z | introduction/02_QueryParameters.py | IBM/api-samples | d69f7a7b74244012e835f023bceec2b0370be586 | [
"Apache-2.0"
] | 15 | 2015-03-06T15:30:33.000Z | 2021-03-05T09:20:34.000Z | introduction/02_QueryParameters.py | IBM/api-samples | d69f7a7b74244012e835f023bceec2b0370be586 | [
"Apache-2.0"
] | 77 | 2015-03-06T13:14:06.000Z | 2022-02-14T15:35:58.000Z | #!/usr/bin/env python3
# This sample demonstrates how to use query parameters with a REST API
# endpoint.
# For a list of the endpoints that you can use along with the parameters that
# they accept you can view the REST API interactive help page on your
# deployment at https://<hostname>/api_doc
# You can also retriev... | 39.61194 | 79 | 0.720422 | #!/usr/bin/env python3
# This sample demonstrates how to use query parameters with a REST API
# endpoint.
# For a list of the endpoints that you can use along with the parameters that
# they accept you can view the REST API interactive help page on your
# deployment at https://<hostname>/api_doc
# You can also retriev... | 0 | 0 | 0 | 0 | 0 | 1,955 | 0 | -7 | 45 |
e405eb400288c9f8521071196f3827f3622495fc | 47 | py | Python | passwordConfig.py | jarivankaam/spambot-Python | b1bd47c7481e52a900a89c8ad92b969272cfe2c3 | [
"MIT"
] | 2 | 2022-02-27T07:15:30.000Z | 2022-03-15T18:27:12.000Z | passwordConfig.py | jarivankaam/spambot-Python | b1bd47c7481e52a900a89c8ad92b969272cfe2c3 | [
"MIT"
] | null | null | null | passwordConfig.py | jarivankaam/spambot-Python | b1bd47c7481e52a900a89c8ad92b969272cfe2c3 | [
"MIT"
] | null | null | null | password = {
"password": ""#password here
} | 15.666667 | 32 | 0.595745 | password = {
"password": ""#password here
} | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fd06c7333d4e62e3dfd574a686746e934124a2eb | 3,090 | py | Python | fifth_semester/Wbudowane/lab5.py | MajronMan/agh_stuff | d045e3bd47ac17880526203d9993d9b2389a9ffe | [
"Unlicense"
] | 2 | 2019-03-02T19:31:57.000Z | 2019-04-03T19:54:39.000Z | fifth_semester/Wbudowane/lab5.py | MajronMan/agh_stuff | d045e3bd47ac17880526203d9993d9b2389a9ffe | [
"Unlicense"
] | null | null | null | fifth_semester/Wbudowane/lab5.py | MajronMan/agh_stuff | d045e3bd47ac17880526203d9993d9b2389a9ffe | [
"Unlicense"
] | 1 | 2019-04-03T18:26:50.000Z | 2019-04-03T18:26:50.000Z |
g = Graph([
[0, 1, 1, 0, 1],
[0, 0, 0, 0, 0],
[0, 0, 0, 1, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]
])
print(g.BFS())
| 22.888889 | 73 | 0.486408 | from typing import List, Tuple, Optional
import numpy as np
def rmse(x: List[float], y: List[float]) -> float:
r = 0
for (a, b) in zip(x, y):
r += (a - b) ** 2
return r
def lin_reg(data: List[Tuple[float, float]]) -> Tuple[float, float]:
d = np.array(data)
m = d.shape[0]
p = np.sum(d... | 0 | 169 | 0 | 2,189 | 0 | 416 | 0 | 16 | 159 |
08acdf3c412cefa6cf27ac195df4e06a7d9e30d4 | 256 | py | Python | tapis_cli/commands/taccapis/v2/apps/init/templates.py | bpachev/tapis-cli | c3128fb5b63ef74e06b737bbd95ef28fb24f0d32 | [
"BSD-3-Clause"
] | 8 | 2020-10-18T22:48:23.000Z | 2022-01-10T09:16:14.000Z | tapis_cli/commands/taccapis/v2/apps/init/templates.py | bpachev/tapis-cli | c3128fb5b63ef74e06b737bbd95ef28fb24f0d32 | [
"BSD-3-Clause"
] | 238 | 2019-09-04T14:37:54.000Z | 2020-04-15T16:24:24.000Z | tapis_cli/commands/taccapis/v2/apps/init/templates.py | bpachev/tapis-cli | c3128fb5b63ef74e06b737bbd95ef28fb24f0d32 | [
"BSD-3-Clause"
] | 5 | 2019-09-20T04:23:49.000Z | 2020-01-16T17:45:14.000Z | """Provides key, name, description, and location for
cookiecutter apps templates
"""
__all__ = ['COOKIECUTTER_URI', 'DIRECTORY', 'CHECKOUT']
COOKIECUTTER_URI = 'https://github.com/TACC-Cloud/cc-tapis-v2-app.git'
DIRECTORY = 'default'
CHECKOUT = 'master'
| 25.6 | 70 | 0.738281 | """Provides key, name, description, and location for
cookiecutter apps templates
"""
__all__ = ['COOKIECUTTER_URI', 'DIRECTORY', 'CHECKOUT']
COOKIECUTTER_URI = 'https://github.com/TACC-Cloud/cc-tapis-v2-app.git'
DIRECTORY = 'default'
CHECKOUT = 'master'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab0d9c97270d7743ca9f1adeb401249fd9546ca6 | 3,610 | py | Python | gaussian_processes/GPy_1_0_5/inference/latent_function_inference/__init__.py | highlandenergy/no-covid-19-climate-silver-lining-in-the-us-power-sector | 1568db61f4cfd5d1aa3ffc65ce594ad8fe5e3893 | [
"MIT"
] | null | null | null | gaussian_processes/GPy_1_0_5/inference/latent_function_inference/__init__.py | highlandenergy/no-covid-19-climate-silver-lining-in-the-us-power-sector | 1568db61f4cfd5d1aa3ffc65ce594ad8fe5e3893 | [
"MIT"
] | null | null | null | gaussian_processes/GPy_1_0_5/inference/latent_function_inference/__init__.py | highlandenergy/no-covid-19-climate-silver-lining-in-the-us-power-sector | 1568db61f4cfd5d1aa3ffc65ce594ad8fe5e3893 | [
"MIT"
] | null | null | null | # Copyright (c) 2012-2014, Max Zwiessele, James Hensman
# Licensed under the BSD 3-clause license (see LICENSE.txt)
__doc__ = """
Inference over Gaussian process latent functions
In all our GP models, the consistency propery means that we have a Gaussian
prior over a finite set of points f. This prior is
math:: N(... | 34.711538 | 93 | 0.710249 | # Copyright (c) 2012-2014, Max Zwiessele, James Hensman
# Licensed under the BSD 3-clause license (see LICENSE.txt)
__doc__ = """
Inference over Gaussian process latent functions
In all our GP models, the consistency propery means that we have a Gaussian
prior over a finite set of points f. This prior is
math:: N(... | 0 | 0 | 0 | 771 | 0 | 0 | 0 | 170 | 223 |
2980400d27dab31f8bad6ff0f84d71599b28e696 | 974 | py | Python | examples/src/dbnd_examples/dbnd_spark/pyspark_scripts/cut_salad.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | examples/src/dbnd_examples/dbnd_spark/pyspark_scripts/cut_salad.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | examples/src/dbnd_examples/dbnd_spark/pyspark_scripts/cut_salad.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | import logging
import sys
logger = logging.getLogger(__name__)
if __name__ == "__main__":
run_spark(sys.argv)
| 22.651163 | 83 | 0.666324 | import datetime
import logging
import sys
from random import shuffle
logger = logging.getLogger(__name__)
def run_spark(args):
from pyspark.sql import SparkSession
from pyspark.sql.types import StringType, StructField, StructType
timestamp = str(datetime.datetime.now()).replace(" ", "_")
spark = ... | 0 | 0 | 0 | 0 | 0 | 788 | 0 | -1 | 68 |
ce74564e71956b24721fb93832bb798ca28d1093 | 1,719 | py | Python | ghostwriter/rolodex/migrations/0008_projectscope.py | bbhunter/Ghostwriter | 1b684ddd119feed9891e83b39c9b314b41d086ca | [
"BSD-3-Clause"
] | 601 | 2019-07-30T17:06:37.000Z | 2022-03-31T00:55:31.000Z | ghostwriter/rolodex/migrations/0008_projectscope.py | chrismaddalena/Ghostwriter | 5a938358450cd0e69a42883b1b18e067644744a8 | [
"BSD-3-Clause"
] | 150 | 2019-08-01T07:20:22.000Z | 2022-03-29T19:18:02.000Z | ghostwriter/rolodex/migrations/0008_projectscope.py | chrismaddalena/Ghostwriter | 5a938358450cd0e69a42883b1b18e067644744a8 | [
"BSD-3-Clause"
] | 126 | 2019-07-30T17:42:49.000Z | 2022-03-21T20:43:35.000Z | # Generated by Django 3.0.10 on 2021-01-22 22:02
| 53.71875 | 213 | 0.643979 | # Generated by Django 3.0.10 on 2021-01-22 22:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('rolodex', '0007_auto_20201027_1914'),
]
operations = [
migrations.CreateModel(
name='ProjectSc... | 0 | 0 | 0 | 1,571 | 0 | 0 | 0 | 30 | 68 |
21c58e28067f9673c8b4ddaba9798e3d5af0df10 | 1,184 | py | Python | tbonlineproject/archive/urls.py | nathangeffen/tbonline3 | 1b8a3af8d2dc1ee8083ca6638d025e94bd98f253 | [
"MIT"
] | null | null | null | tbonlineproject/archive/urls.py | nathangeffen/tbonline3 | 1b8a3af8d2dc1ee8083ca6638d025e94bd98f253 | [
"MIT"
] | 3 | 2021-06-08T23:57:13.000Z | 2022-01-13T03:42:01.000Z | tbonlineproject/archive/urls.py | nathangeffen/tbonline-2 | 0d5869197e66a0057fa07cb99f21dde7f5b47c30 | [
"MIT"
] | null | null | null | from django.views.generic import DetailView, ListView
from archive.models import Catalogue, Document
urlpatterns = patterns('archive.views',
url(r'^$',
ListView.as_view(
context_object_name="catalogues",
queryset=Catalogue.objects.all(),
tem... | 34.823529 | 86 | 0.569257 | from django.conf.urls.defaults import *
from django.views.generic import DetailView, ListView
from archive.models import Catalogue, Document
urlpatterns = patterns('archive.views',
url(r'^$',
ListView.as_view(
context_object_name="catalogues",
queryset=Catalogu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 22 |
a53ea13c9e8f16859fa4193aab2acfef32eda2ed | 506 | py | Python | main.py | MustafaTheCoder/Spam-Detector | 5e3545adbfe6ac1a6729c5cf769d463f01b77e17 | [
"MIT"
] | null | null | null | main.py | MustafaTheCoder/Spam-Detector | 5e3545adbfe6ac1a6729c5cf769d463f01b77e17 | [
"MIT"
] | null | null | null | main.py | MustafaTheCoder/Spam-Detector | 5e3545adbfe6ac1a6729c5cf769d463f01b77e17 | [
"MIT"
] | null | null | null | text = input("Text: ")
spam = False
if("make money fast"):
spam = True
print("Spam Detected!")
elif("subscribe this"):
spam = True
print("Spam Detected!")
elif("buy now"):
spam = True
print("Spam Detected!")
elif("purchase now"):
spam = True
print("Spam Detected!")
elif(... | 20.24 | 33 | 0.559289 | text = input("Text: ")
spam = False
if("make money fast"):
spam = True
print("Spam Detected!")
elif("subscribe this"):
spam = True
print("Spam Detected!")
elif("buy now"):
spam = True
print("Spam Detected!")
elif("purchase now"):
spam = True
print("Spam Detected!")
elif(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
41c261c39d724212ea8e551fc7ba36bebd70a398 | 367 | py | Python | ex032.py | dsjocimar/python | 5716f46a9fa7f64aa78a39df9c262c5392571340 | [
"MIT"
] | null | null | null | ex032.py | dsjocimar/python | 5716f46a9fa7f64aa78a39df9c262c5392571340 | [
"MIT"
] | null | null | null | ex032.py | dsjocimar/python | 5716f46a9fa7f64aa78a39df9c262c5392571340 | [
"MIT"
] | null | null | null | # Exerccio 032
from datetime import date
ano = int(input('Digite um ano qualquer. Digite 0 para analisar o ano ATUAL '))
if ano == 0:
ano = date.today().year
if ano % 4 == 0 and ano % 100 != 0 or ano % 400 == 0:
print(f'O ano de \033[1m{ano}\033[m \033[1;32m BISSEXTO!\033[m')
else:
print(f'O Ano de \033[1... | 30.583333 | 79 | 0.637602 | # Exercício 032
from datetime import date
ano = int(input('Digite um ano qualquer. Digite 0 para analisar o ano ATUAL '))
if ano == 0:
ano = date.today().year
if ano % 4 == 0 and ano % 100 != 0 or ano % 400 == 0:
print(f'O ano de \033[1m{ano}\033[m \033[1;32mé BISSEXTO!\033[m')
else:
print(f'O Ano de \033... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7311c514b082b3e5c5c1cc9dfc27db9760ee5f0b | 3,539 | py | Python | sahara/service/api/v2/job_executions.py | ksshanam/sahara | 0d259f7a71447cd0cefe4f11184cc2ee335f4e33 | [
"Apache-2.0"
] | null | null | null | sahara/service/api/v2/job_executions.py | ksshanam/sahara | 0d259f7a71447cd0cefe4f11184cc2ee335f4e33 | [
"Apache-2.0"
] | null | null | null | sahara/service/api/v2/job_executions.py | ksshanam/sahara | 0d259f7a71447cd0cefe4f11184cc2ee335f4e33 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 32.172727 | 78 | 0.69935 | # Copyright (c) 2016 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 0 | 0 | 0 | 0 | 0 | 2,398 | 0 | 87 | 338 |
1459204f92935929520298d47434577d9d6efb3f | 1,260 | py | Python | testing/data_loader.py | CRAI-OUS/crainets | 252b2ff8e5a2fa59a92fa988ce459ba8d7985491 | [
"BSD-4-Clause"
] | 1 | 2021-09-17T09:13:34.000Z | 2021-09-17T09:13:34.000Z | testing/data_loader.py | CRAI-OUS/crainets | 252b2ff8e5a2fa59a92fa988ce459ba8d7985491 | [
"BSD-4-Clause"
] | 4 | 2022-03-18T08:52:38.000Z | 2022-03-18T13:01:40.000Z | testing/data_loader.py | CRAI-OUS/crainets | 252b2ff8e5a2fa59a92fa988ce459ba8d7985491 | [
"BSD-4-Clause"
] | null | null | null | import torch
import torchvision
import testing.config as config
import torch.utils.data as data_utils
transform = torchvision.transforms.Compose(
[torchvision.transforms.ToTensor(),
torchvision.transforms.RandomHorizontalFlip(),
torchvision.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
transf... | 32.307692 | 73 | 0.605556 | import torch
import torchvision
import testing.config as config
import torch.utils.data as data_utils
transform = torchvision.transforms.Compose(
[torchvision.transforms.ToTensor(),
torchvision.transforms.RandomHorizontalFlip(),
torchvision.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
transf... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b8d8d5b21d1bea0a4925d10529b48e1565a65cbf | 21,038 | py | Python | trec2014/python/cuttsum/sentsim.py | kedz/cuttsum | 992c21192af03fd2ef863f5ab7d10752f75580fa | [
"Apache-2.0"
] | 6 | 2015-09-10T02:22:21.000Z | 2021-10-01T16:36:46.000Z | trec2014/python/cuttsum/sentsim.py | kedz/cuttsum | 992c21192af03fd2ef863f5ab7d10752f75580fa | [
"Apache-2.0"
] | null | null | null | trec2014/python/cuttsum/sentsim.py | kedz/cuttsum | 992c21192af03fd2ef863f5ab7d10752f75580fa | [
"Apache-2.0"
] | 2 | 2018-04-04T10:44:32.000Z | 2021-10-01T16:37:26.000Z | #from .jtest import get_2014_nuggets
#from .submissions import Updates
# for job in jobs:
# articles_chunk, tsv_path = job
# sentence_meta = []
# sentence_strings = []
# for si in sc.Chunk(path=articles_chunk, message=corpus.sc_msg()):
# si.stream_id ... | 37.038732 | 78 | 0.55761 | #from .jtest import get_2014_nuggets
#from .submissions import Updates
from .judgements import (
get_2013_nuggets, get_2014_nuggets, get_2013_matches, get_2014_matches
)
from .data import Resource, get_resource_manager
from .misc import stringify_corenlp_doc, stringify_streamcorpus_sentence
import os
import signal
... | 0 | 0 | 0 | 11,306 | 0 | 7,349 | 0 | 163 | 559 |
6f6e063d294cf646454d8529c7068bb1ca73735c | 1,342 | py | Python | sql_requests_tests.py | mv-yurchenko/terminal_db_browser | 2409e66796b785f05fda729f440924361e84a44d | [
"MIT"
] | null | null | null | sql_requests_tests.py | mv-yurchenko/terminal_db_browser | 2409e66796b785f05fda729f440924361e84a44d | [
"MIT"
] | null | null | null | sql_requests_tests.py | mv-yurchenko/terminal_db_browser | 2409e66796b785f05fda729f440924361e84a44d | [
"MIT"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main() | 43.290323 | 154 | 0.640089 | import unittest
from SQLite import SQLite
class testSQL(unittest.TestCase):
sql_obj = SQLite("test.db")
def test_select_request(self):
# Test "SELECT ALL"
test_request_1 = "SELECT * FROM test_table"
expected_answ_1 = "[(123, '23'), (123, '123'), (1323, '123'), (1323, '123')... | 0 | 0 | 0 | 1,224 | 0 | 0 | 0 | 4 | 45 |
7e1e18baf6f67b72ed15fd44cc8d9d3e06a1268e | 20,522 | py | Python | fusion_tcv/targets.py | mkuiper/deepmind-research | 1642ae3499c8d1135ec6fe620a68911091dd25ef | [
"Apache-2.0"
] | 2 | 2022-03-14T18:36:23.000Z | 2022-03-14T22:35:20.000Z | fusion_tcv/targets.py | sunjinhao123/deepmind-research | 1642ae3499c8d1135ec6fe620a68911091dd25ef | [
"Apache-2.0"
] | null | null | null | fusion_tcv/targets.py | sunjinhao123/deepmind-research | 1642ae3499c8d1135ec6fe620a68911091dd25ef | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 DeepMind Technologies Limited.
#
# 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 ag... | 32.94061 | 80 | 0.682146 | # Copyright 2021 DeepMind Technologies Limited.
#
# 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 ag... | 0 | 16,188 | 0 | 1,064 | 0 | 335 | 0 | 30 | 755 |
81fd573d1b1a6f1715251e362ff0ec75662ce2bb | 1,374 | py | Python | NHL/nhl_pull.py | grdavis/box-score-scraper | 6b4c1c142ce32f2d6c0dc159cac16b83d67dee35 | [
"MIT"
] | 3 | 2021-11-02T11:25:55.000Z | 2022-02-06T21:08:35.000Z | NHL/nhl_pull.py | grdavis/box-score-scraper | 6b4c1c142ce32f2d6c0dc159cac16b83d67dee35 | [
"MIT"
] | null | null | null | NHL/nhl_pull.py | grdavis/box-score-scraper | 6b4c1c142ce32f2d6c0dc159cac16b83d67dee35 | [
"MIT"
] | null | null | null |
URL = 'https://www.espn.com/nhl/scoreboard/_/date/DATE' | 39.257143 | 96 | 0.71179 | from bs4 import BeautifulSoup
import requests
import re
import json
URL = 'https://www.espn.com/nhl/scoreboard/_/date/DATE'
def fix_dates_for_data(date_obj):
#make sure dates are in the format: 20210130
new_month = str(date_obj.month) if len(str(date_obj.month)) == 2 else "0" + str(date_obj.month)
new_day = str(da... | 0 | 0 | 0 | 0 | 0 | 1,203 | 0 | -20 | 135 |
1d2a819047adb731986559cd1992550743faf1d8 | 130 | py | Python | tests/set_mrparse_path.py | rigdenlab/MrParse | 4dd5286434d96dfb889b7398147922c9041d6628 | [
"BSD-3-Clause"
] | null | null | null | tests/set_mrparse_path.py | rigdenlab/MrParse | 4dd5286434d96dfb889b7398147922c9041d6628 | [
"BSD-3-Clause"
] | 8 | 2019-06-13T16:29:27.000Z | 2021-11-19T14:11:55.000Z | tests/set_mrparse_path.py | rigdenlab/MrParse | 4dd5286434d96dfb889b7398147922c9041d6628 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
MRPARSE_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)),'..')
sys.path.insert(0, MRPARSE_DIR)
| 21.666667 | 75 | 0.746154 | import os
import sys
MRPARSE_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)),'..')
sys.path.insert(0, MRPARSE_DIR)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a1927b5d4d55273d313dfa301768944c3c5a9c26 | 8,970 | py | Python | custom_components/victorsmartkill/__init__.py | DTTerastar/victorsmartkill-homeassistant | 1bf6d15377127e767a23f633cbec6dccd52fe15b | [
"MIT"
] | null | null | null | custom_components/victorsmartkill/__init__.py | DTTerastar/victorsmartkill-homeassistant | 1bf6d15377127e767a23f633cbec6dccd52fe15b | [
"MIT"
] | null | null | null | custom_components/victorsmartkill/__init__.py | DTTerastar/victorsmartkill-homeassistant | 1bf6d15377127e767a23f633cbec6dccd52fe15b | [
"MIT"
] | null | null | null | """
Custom integration to integrate victorsmartkill with Home Assistant.
For more details about this integration, please refer to
https://github.com/toreamun/victorsmartkill-homeassistant
"""
import logging
from homeassistant.config_entries import ConfigEntry
from homeassistant.helpers.typing import HomeAssi... | 34.902724 | 89 | 0.645151 | """
Custom integration to integrate victorsmartkill with Home Assistant.
For more details about this integration, please refer to
https://github.com/toreamun/victorsmartkill-homeassistant
"""
import asyncio
from dataclasses import dataclass, field
from datetime import timedelta
import logging
from typing imp... | 0 | 1,025 | 4,967 | 1,199 | 0 | 0 | 0 | 387 | 435 |
1be27c1930794d244f34c1f745653a4bdfd459f9 | 2,343 | py | Python | BBB-firmware/u-boot-v2015.10-rc5/test/py/u_boot_console_exec_attach.py | guileschool/BEAGLEBONE-tutorials | eecd83e0c14941b05ad38eeb77e5a50602cc29ca | [
"MIT"
] | 4 | 2018-09-28T04:33:26.000Z | 2021-03-10T06:29:55.000Z | BBB-firmware/u-boot-v2015.10-rc5/test/py/u_boot_console_exec_attach.py | guileschool/BEAGLEBONE-tutorials | eecd83e0c14941b05ad38eeb77e5a50602cc29ca | [
"MIT"
] | 4 | 2016-08-30T11:30:25.000Z | 2020-12-27T09:58:07.000Z | BBB-firmware/u-boot-v2015.10-rc5/test/py/u_boot_console_exec_attach.py | guileschool/BEAGLEBONE-tutorials | eecd83e0c14941b05ad38eeb77e5a50602cc29ca | [
"MIT"
] | 2 | 2016-12-30T08:02:57.000Z | 2020-05-16T05:59:30.000Z | # Copyright (c) 2015 Stephen Warren
# Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
#
# SPDX-License-Identifier: GPL-2.0
# Logic to interact with U-Boot running on real hardware, typically via a
# physical serial port.
| 34.455882 | 81 | 0.649595 | # Copyright (c) 2015 Stephen Warren
# Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
#
# SPDX-License-Identifier: GPL-2.0
# Logic to interact with U-Boot running on real hardware, typically via a
# physical serial port.
import sys
from u_boot_spawn import Spawn
from u_boot_console_base import Conso... | 0 | 0 | 0 | 1,993 | 0 | 0 | 0 | 20 | 90 |
c3ab9133a30455a5aac4572c6826defc0bace894 | 574 | py | Python | mapreduceterm.py | yulexanova/Big_data_project2 | 5a308cb98e92a6f215f6abca36a37b438646a415 | [
"MIT"
] | null | null | null | mapreduceterm.py | yulexanova/Big_data_project2 | 5a308cb98e92a6f215f6abca36a37b438646a415 | [
"MIT"
] | null | null | null | mapreduceterm.py | yulexanova/Big_data_project2 | 5a308cb98e92a6f215f6abca36a37b438646a415 | [
"MIT"
] | null | null | null | import os
import sys
from pprint import pprint
from operator import add
import pyspark
from pyspark.context import SparkContext
sc = SparkContext()
file = "SampleData3.txt"
wordcounts = sc.textFile(file) \
.map(lambda l: ((l.split(" ")[0], len([x for x in l.split(" ")[1:] if ("gene_" in x or "disease_" in x)]... | 28.7 | 187 | 0.592334 | import os
import sys
from pprint import pprint
from operator import add
import pyspark
from pyspark.context import SparkContext
sc = SparkContext()
file = "SampleData3.txt"
wordcounts = sc.textFile(file) \
.map(lambda l: ((l.split(" ")[0], len([x for x in l.split(" ")[1:] if ("gene_" in x or "disease_" in x)]... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8e5990be4d963a9258a9832405e4fdb90f7a7c1c | 2,775 | py | Python | mall/apps/pay/views.py | xxbsg/meiduo | 0e82628833c4b482884cd392b8d22cb8558f1ffd | [
"MIT"
] | null | null | null | mall/apps/pay/views.py | xxbsg/meiduo | 0e82628833c4b482884cd392b8d22cb8558f1ffd | [
"MIT"
] | null | null | null | mall/apps/pay/views.py | xxbsg/meiduo | 0e82628833c4b482884cd392b8d22cb8558f1ffd | [
"MIT"
] | null | null | null |
# Create your views here.
"""
1. (appid)
2. (2 ,)
2.1
2.2 , ---public begin--- ---end--
3. (/ SDK) (SDK )
4. (, API())
axirmj7487@sandbox.com
111111
"""
"""
,id
1. id
2. id
3. alipay
4. order_string
5. url
6. url
GET /orders/(?P<order_id>\d+)/payment/
"""
| 30.163043 | 87 | 0.642162 | from alipay import AliPay
from django.shortcuts import render
# Create your views here.
from rest_framework import status
from mall import settings
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from orders.models import Ord... | 885 | 0 | 0 | 1,837 | 0 | 0 | 0 | 123 | 222 |
e5bda155b81afdc76753db301694431c6f0a7ed1 | 1,698 | py | Python | configs/__init__.py | ishine/nlp-dialogue | d47c1438cb5c45c2c2aebfb82fea92bef4c3d65c | [
"Apache-2.0"
] | 59 | 2021-02-15T09:15:12.000Z | 2022-03-29T01:48:24.000Z | configs/__init__.py | ishine/nlp-dialogue | d47c1438cb5c45c2c2aebfb82fea92bef4c3d65c | [
"Apache-2.0"
] | null | null | null | configs/__init__.py | ishine/nlp-dialogue | d47c1438cb5c45c2c2aebfb82fea92bef4c3d65c | [
"Apache-2.0"
] | 15 | 2021-02-15T09:16:04.000Z | 2022-02-21T07:18:02.000Z | #! -*- coding: utf-8 -*-
""" Global Configuration
"""
# Author: DengBoCong <bocongdeng@gmail.com>
#
# License: Apache-2.0 License
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import uuid
from configs.configs import config
from flask import Flas... | 26.123077 | 92 | 0.743816 | #! -*- coding: utf-8 -*-
""" Global Configuration
"""
# Author: DengBoCong <bocongdeng@gmail.com>
#
# License: Apache-2.0 License
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import uuid
from configs.configs import config
from configs.constant ... | 0 | 88 | 0 | 0 | 0 | 0 | 0 | 9 | 45 |
c8422d03ff6c162a7a235c164df43ce7fd4202c5 | 1,025 | py | Python | setup.py | drougge/wellpapp-pyclient | 43d66a1e2a122ac87e477905c5e2460e11be3c26 | [
"MIT"
] | null | null | null | setup.py | drougge/wellpapp-pyclient | 43d66a1e2a122ac87e477905c5e2460e11be3c26 | [
"MIT"
] | null | null | null | setup.py | drougge/wellpapp-pyclient | 43d66a1e2a122ac87e477905c5e2460e11be3c26 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from setuptools import setup
fuse_reqs = [
'fuse-python >= 0.3.1; python_version < "3"',
'fuse-python >= 1.0.0; python_version > "3"',
]
readme = open('README.md', 'r').read()
readme = readme.replace(
'(FUSE.md)',
'(https://github.com/drougge/wellpapp-pyclient/blob/master/FUSE.md)'
)
setu... | 21.808511 | 85 | 0.659512 | #!/usr/bin/env python3
from setuptools import setup
fuse_reqs = [
'fuse-python >= 0.3.1; python_version < "3"',
'fuse-python >= 1.0.0; python_version > "3"',
]
readme = open('README.md', 'r').read()
readme = readme.replace(
'(FUSE.md)',
'(https://github.com/drougge/wellpapp-pyclient/blob/master/FUSE.md)'
)
setu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0552f00cb48be9e0abd175a5d21dfe1fa347b452 | 1,544 | py | Python | tests/html.py | sdss/opscore | dd4f2b2ad525fe3dfe3565463de2c079a7e1232e | [
"BSD-3-Clause"
] | null | null | null | tests/html.py | sdss/opscore | dd4f2b2ad525fe3dfe3565463de2c079a7e1232e | [
"BSD-3-Clause"
] | 1 | 2021-08-17T21:08:14.000Z | 2021-08-17T21:08:14.000Z | tests/html.py | sdss/opscore | dd4f2b2ad525fe3dfe3565463de2c079a7e1232e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""Unit tests for opscore.utility.html
"""
# Created 28-Jun-2008 by David Kirkby (dkirkby@uci.edu)
import unittest
if __name__ == "__main__":
unittest.main()
| 29.132075 | 86 | 0.608808 | #!/usr/bin/env python
"""Unit tests for opscore.utility.html
"""
# Created 28-Jun-2008 by David Kirkby (dkirkby@uci.edu)
import unittest
from html.parser import HTMLParser
import opscore.utility.html as utilHtml
class HTMLTests(unittest.TestCase):
@staticmethod
def validate(doc):
parser = HTMLParser... | 0 | 98 | 0 | 1,159 | 0 | 0 | 0 | 31 | 68 |
2c25a70e7347753ea1cd9e7e980a6b744ff6e177 | 5,010 | py | Python | tests/test_slope_disp.py | geosharma/pygeems | 816b77618820caad6c60edab66d0a7c931b17632 | [
"MIT"
] | 3 | 2019-01-11T04:44:29.000Z | 2022-01-05T01:09:46.000Z | tests/test_slope_disp.py | geosharma/pygeems | 816b77618820caad6c60edab66d0a7c931b17632 | [
"MIT"
] | null | null | null | tests/test_slope_disp.py | geosharma/pygeems | 816b77618820caad6c60edab66d0a7c931b17632 | [
"MIT"
] | 1 | 2021-02-21T17:29:21.000Z | 2021-02-21T17:29:21.000Z | import pathlib
FPATH_DATA = pathlib.Path(__file__).parent / "data"
# Test values from Table 1 in BT07
# Test values from Table 1 in BT07. Authors provided a range of values, which are
# interpreted to be log-normally distributed. The median is computed and tested against
# Test values from Table 2 of Bray... | 32.532468 | 88 | 0.652894 | import pathlib
import numpy as np
import pytest
from numpy.testing import assert_allclose
import pygeems
FPATH_DATA = pathlib.Path(__file__).parent / "data"
@pytest.mark.parametrize(
"yield_coef,pga,mag,pgv,expected",
[
# Examples from Rathje et. al (2014)
(0.1, 0.54, 6.75, None, 43),
... | 0 | 3,849 | 0 | 0 | 0 | 395 | 0 | 2 | 316 |
3515139809088fddf10f5643c392c7d5b7c91f0c | 9,522 | py | Python | python/aether/src/aether/mxp/session.py | MoysheBenRabi/setp | 7619f0bae457e14e2fb41e58bfe517019628c5de | [
"Apache-2.0"
] | 1 | 2021-07-13T12:22:22.000Z | 2021-07-13T12:22:22.000Z | python/aether/src/aether/mxp/session.py | MoysheBenRabi/setp | 7619f0bae457e14e2fb41e58bfe517019628c5de | [
"Apache-2.0"
] | 1 | 2021-01-04T21:53:56.000Z | 2021-01-04T21:59:36.000Z | python/aether/src/aether/mxp/session.py | MoysheBenRabi/setp | 7619f0bae457e14e2fb41e58bfe517019628c5de | [
"Apache-2.0"
] | 1 | 2021-09-19T16:18:54.000Z | 2021-09-19T16:18:54.000Z | #<Tommil> There is one particular detail in session forming which may not be obvious. The answering party needs to send ack to the connection request message as the very first message
#<Tommil> the calling party is using this ack to bind together upstream and downstream session session ids
#Enumeration of the various ... | 42.891892 | 183 | 0.657215 | #<Tommil> There is one particular detail in session forming which may not be obvious. The answering party needs to send ack to the connection request message as the very first message
#<Tommil> the calling party is using this ack to bind together upstream and downstream session session ids
import datetime
from collecti... | 0 | 356 | 0 | 8,410 | 0 | 0 | 0 | 21 | 176 |
7cd37d34ea6cd7ed7dbf95f32af2daa52478d93b | 1,674 | py | Python | pro_tes/pro_tes/app.py | andrewcollette/ga4gh_compute_trial | 0b9f9ef769925e04ecb48fdca4057d31eede824d | [
"Apache-2.0"
] | null | null | null | pro_tes/pro_tes/app.py | andrewcollette/ga4gh_compute_trial | 0b9f9ef769925e04ecb48fdca4057d31eede824d | [
"Apache-2.0"
] | null | null | null | pro_tes/pro_tes/app.py | andrewcollette/ga4gh_compute_trial | 0b9f9ef769925e04ecb48fdca4057d31eede824d | [
"Apache-2.0"
] | null | null | null | """Entry point to start service."""
from pro_tes.config.config_parser import (get_conf)
if __name__ == '__main__':
connexion_app, config = run_server()
# Run app
connexion_app.run(
use_reloader=get_conf(config, 'server', 'use_reloader')
)
| 31 | 71 | 0.76583 | """Entry point to start service."""
from pro_tes.api.register_openapi import register_openapi
from pro_tes.config.app_config import parse_app_config
from pro_tes.config.config_parser import (get_conf, get_conf_type)
from pro_tes.config.log_config import configure_logging
from pro_tes.database.register_mongodb import r... | 0 | 0 | 0 | 0 | 0 | 904 | 0 | 304 | 200 |
e8278fb2c1cda1a37eb43220c40f8fbf30d27464 | 4,437 | py | Python | paddlenlp/trainer/utils/helper.py | 27182812/PaddleNLP | 20d1734c7923402dd0e13bd63f33b90f882f7f14 | [
"Apache-2.0"
] | null | null | null | paddlenlp/trainer/utils/helper.py | 27182812/PaddleNLP | 20d1734c7923402dd0e13bd63f33b90f882f7f14 | [
"Apache-2.0"
] | null | null | null | paddlenlp/trainer/utils/helper.py | 27182812/PaddleNLP | 20d1734c7923402dd0e13bd63f33b90f882f7f14 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020-present the HuggingFace Inc. team.
# Copyright (c) 2022 PaddlePaddle 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.o... | 40.336364 | 119 | 0.683795 | # Copyright 2020-present the HuggingFace Inc. team.
# Copyright (c) 2022 PaddlePaddle 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.o... | 0 | 0 | 0 | 0 | 0 | 845 | 0 | 59 | 67 |
c462992cdb92886b6cdc022db9824158fb861960 | 2,399 | py | Python | command_14.py | davidecristiani/uavberry_beta | a277e30f5ba86eecf02f4d7b376c0f83ec069ff5 | [
"Apache-2.0"
] | null | null | null | command_14.py | davidecristiani/uavberry_beta | a277e30f5ba86eecf02f4d7b376c0f83ec069ff5 | [
"Apache-2.0"
] | null | null | null | command_14.py | davidecristiani/uavberry_beta | a277e30f5ba86eecf02f4d7b376c0f83ec069ff5 | [
"Apache-2.0"
] | null | null | null | # COMMAND 14 BACK AND FRONT CAMERA - NO FLIGHT
from pyparrot.Minidrone import Mambo
from ground_inspector.ftp_download import ftp_download
from ground_inspector.ground_vision import ground_vision
from pyparrot.DroneVision import DroneVision
import os
mamboAddr = "e0:14:d0:63:3d:d0"
os.path.join(os.path.dirname(__file_... | 29.617284 | 100 | 0.697374 | # COMMAND 14 BACK AND FRONT CAMERA - NO FLIGHT
from pyparrot.Minidrone import Mambo
from ground_inspector.ftp_download import ftp_download
from ground_inspector.ground_vision import ground_vision
from shelf_detector.simple_qr_scan import qr_scan_image
from pyparrot.DroneVision import DroneVision
import threading
import... | 0 | 0 | 0 | 877 | 0 | 0 | 0 | 8 | 111 |
a2a5c8c695998e375079d52583b1a5e9ace40d24 | 8,637 | py | Python | vise/cli/main_functions.py | kumagai-group/vise | 8adfe61ad8f31767ec562f02f271e2495f357cd4 | [
"MIT"
] | 16 | 2020-07-14T13:14:05.000Z | 2022-03-04T13:39:30.000Z | vise/cli/main_functions.py | kumagai-group/vise | 8adfe61ad8f31767ec562f02f271e2495f357cd4 | [
"MIT"
] | 10 | 2021-03-15T20:47:45.000Z | 2021-08-19T00:47:12.000Z | vise/cli/main_functions.py | kumagai-group/vise | 8adfe61ad8f31767ec562f02f271e2495f357cd4 | [
"MIT"
] | 6 | 2020-03-03T00:42:39.000Z | 2022-02-22T02:34:47.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2020. Distributed under the terms of the MIT License.
from vise.util.logger import get_logger
logger = get_logger(__name__)
| 38.048458 | 81 | 0.669214 | # -*- coding: utf-8 -*-
# Copyright (c) 2020. Distributed under the terms of the MIT License.
from argparse import Namespace
from copy import deepcopy
from pathlib import Path
import yaml
from pymatgen.core import Structure
from pymatgen.ext.matproj import MPRester
from pymatgen.io.vasp import Vasprun, Outcar
from v... | 0 | 0 | 0 | 2,813 | 0 | 4,090 | 0 | 802 | 758 |
17cb500207d386b65b37360ae824d7998794437c | 2,060 | py | Python | AppLogger.py | codarrenvelvindron/AppLogger-python | b5cf85dd41f86941fb4b4a22b64cdd19dd693ac3 | [
"MIT"
] | 1 | 2021-03-04T05:56:25.000Z | 2021-03-04T05:56:25.000Z | AppLogger.py | codarrenvelvindron/AppLogger-python | b5cf85dd41f86941fb4b4a22b64cdd19dd693ac3 | [
"MIT"
] | null | null | null | AppLogger.py | codarrenvelvindron/AppLogger-python | b5cf85dd41f86941fb4b4a22b64cdd19dd693ac3 | [
"MIT"
] | null | null | null | # AppLogger : The application logger for python
# Useful in auditing actions/variables and storing everything to a log file.
# Git repo: https://github.com/codarrenvelvindron/AppLogger-python
# By Codarren Velvindron
# Contact: devildron@gmail.com
# 25/02/2021
# Licence: MIT
| 29.855072 | 76 | 0.603398 | # AppLogger : The application logger for python
# Useful in auditing actions/variables and storing everything to a log file.
# Git repo: https://github.com/codarrenvelvindron/AppLogger-python
# By Codarren Velvindron
# Contact: devildron@gmail.com
# 25/02/2021
# Licence: MIT
import os
from datetime import datetime
cl... | 0 | 0 | 0 | 1,720 | 0 | 0 | 0 | -4 | 68 |
4d1885bc99c5341d9a912f2fe2b9851981886013 | 245 | py | Python | release/stubs/Autodesk/Civil/__init__.py | paoloemilioserra/ironpython-stubs | 49d92db7f28f25ccd3654c5f6ae83daa0c401fa1 | [
"MIT"
] | null | null | null | release/stubs/Autodesk/Civil/__init__.py | paoloemilioserra/ironpython-stubs | 49d92db7f28f25ccd3654c5f6ae83daa0c401fa1 | [
"MIT"
] | null | null | null | release/stubs/Autodesk/Civil/__init__.py | paoloemilioserra/ironpython-stubs | 49d92db7f28f25ccd3654c5f6ae83daa0c401fa1 | [
"MIT"
] | null | null | null | # encoding: utf-8
# module Autodesk.Civil calls itself Civil
# from Civil3DNodes, Version=13.2.2161.0, Culture=neutral, PublicKeyToken=null
# by generator 1.145
# no doc
# no imports
# no functions
# no classes
# variables with complex values
| 20.416667 | 78 | 0.755102 | # encoding: utf-8
# module Autodesk.Civil calls itself Civil
# from Civil3DNodes, Version=13.2.2161.0, Culture=neutral, PublicKeyToken=null
# by generator 1.145
# no doc
# no imports
# no functions
# no classes
# variables with complex values
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b983899675f2caee588e4976de3376a61f73fe2 | 2,884 | py | Python | backend/app.py | jimbunny/AdminSystem | d9a42e2d8608cb0d9bc88f4c1945da48fb8cc925 | [
"MIT"
] | null | null | null | backend/app.py | jimbunny/AdminSystem | d9a42e2d8608cb0d9bc88f4c1945da48fb8cc925 | [
"MIT"
] | null | null | null | backend/app.py | jimbunny/AdminSystem | d9a42e2d8608cb0d9bc88f4c1945da48fb8cc925 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#-*- coding:utf-8 -*-
# author:jingtongyu
# datetime:2020/6/7 10:14
# software: PyCharm
import string
import flask_restful
from flask import Flask, abort, jsonify
from hashids import Hashids
from models import db
from common import code, pretty_result
#
app = Flask(__name__)
hash_ids = Hashid... | 29.731959 | 106 | 0.680305 | #!/usr/bin/env python
#-*- coding:utf-8 -*-
# author:jingtongyu
# datetime:2020/6/7 10:14 下午
# software: PyCharm
import string
import flask_restful
from flask import Flask, abort, jsonify, request
from hashids import Hashids
from models import db
from common import code, pretty_result
# 添加请求钩子
from common.middlewares ... | 210 | 475 | 0 | 0 | 0 | 0 | 0 | 47 | 120 |
ae34e705547c17c1078103ac56bc76654babbf44 | 571 | py | Python | library/expand_fs.py | stevewoolley/pi-fleet | dc998c99ffddbcf67d8459cb88231621182d4f3b | [
"MIT"
] | 7 | 2019-01-14T20:22:46.000Z | 2021-12-28T22:12:52.000Z | library/expand_fs.py | stevewoolley/pi-fleet | dc998c99ffddbcf67d8459cb88231621182d4f3b | [
"MIT"
] | null | null | null | library/expand_fs.py | stevewoolley/pi-fleet | dc998c99ffddbcf67d8459cb88231621182d4f3b | [
"MIT"
] | 1 | 2020-09-18T16:07:47.000Z | 2020-09-18T16:07:47.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# https://github.com/mikolak-net/ansible-raspi-config/blob/master/library/expand_fs.py
MAIN_PARTITION_NAME = "/dev/mmcblk0p2"
main() | 30.052632 | 120 | 0.695271 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# https://github.com/mikolak-net/ansible-raspi-config/blob/master/library/expand_fs.py
from ansible.module_utils.basic import *
MAIN_PARTITION_NAME = "/dev/mmcblk0p2"
def main():
module = AnsibleModule(argument_spec=dict())
(rc, out, err) = module.run_command(["sud... | 0 | 0 | 0 | 0 | 0 | 328 | 0 | 19 | 46 |
ed483ba6ee4aacf830fc947bdc25a23d31b39203 | 2,513 | py | Python | tools/polymer/txt_to_polymer_grdp.py | zipated/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | tools/polymer/txt_to_polymer_grdp.py | cangulcan/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 395 | 2020-04-18T08:22:18.000Z | 2021-12-08T13:04:49.000Z | tools/polymer/txt_to_polymer_grdp.py | cangulcan/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | #!/usr/bin/env python
# Copyright 2015 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.
from __future__ import with_statement
import os
import sys
FILE_TEMPLATE = \
"""<?xml version="1.0" encoding="utf-8"?>
<!--
This fi... | 28.235955 | 98 | 0.687624 | #!/usr/bin/env python
# Copyright 2015 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.
from __future__ import with_statement
import os
import string
import sys
FILE_TEMPLATE = \
"""<?xml version="1.0" encoding="utf-8"?>
... | 0 | 0 | 0 | 25 | 0 | 700 | 0 | -8 | 137 |
45caefa17d2a3f4a4a42349bcd2a76e7aa06834c | 586 | py | Python | rubicon/domain/metric.py | gforsyth/rubicon | b77c0bdfc73d3f5666f76c83240706c10cd2e88c | [
"Apache-2.0"
] | null | null | null | rubicon/domain/metric.py | gforsyth/rubicon | b77c0bdfc73d3f5666f76c83240706c10cd2e88c | [
"Apache-2.0"
] | null | null | null | rubicon/domain/metric.py | gforsyth/rubicon | b77c0bdfc73d3f5666f76c83240706c10cd2e88c | [
"Apache-2.0"
] | null | null | null |
DIRECTIONALITY_VALUES = ["score", "loss"]
| 26.636364 | 93 | 0.733788 | from dataclasses import dataclass, field
from datetime import datetime
from rubicon.domain.utils import uuid
DIRECTIONALITY_VALUES = ["score", "loss"]
@dataclass(frozen=True)
class Metric:
name: str
value: float
id: str = field(default_factory=uuid.uuid4)
description: str = None
directionality:... | 0 | 409 | 0 | 0 | 0 | 0 | 0 | 43 | 90 |
462a56d73267e1d46963161c10088c1c4cd85e10 | 76,053 | py | Python | pysnmp-with-texts/RAID-Adapter-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/RAID-Adapter-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/RAID-Adapter-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module RAID-Adapter-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RAID-Adapter-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:51:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... | 137.528029 | 6,801 | 0.76974 | #
# PySNMP MIB module RAID-Adapter-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RAID-Adapter-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:51:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e13b36df61294af1dcc222c7c8843b049e8b68de | 2,435 | py | Python | livereload/django/management/commands/runserver.py | n4bz0r/django-livereload-notifier | 8807e8e3204547376e435e6c2ff1d761800b6bb3 | [
"MIT"
] | null | null | null | livereload/django/management/commands/runserver.py | n4bz0r/django-livereload-notifier | 8807e8e3204547376e435e6c2ff1d761800b6bb3 | [
"MIT"
] | null | null | null | livereload/django/management/commands/runserver.py | n4bz0r/django-livereload-notifier | 8807e8e3204547376e435e6c2ff1d761800b6bb3 | [
"MIT"
] | null | null | null |
from django.conf import settings
if 'django.contrib.staticfiles' in settings.INSTALLED_APPS:
from django.contrib.staticfiles.management.commands.runserver import Command as RunserverCommand
else:
| 36.893939 | 114 | 0.699795 | from livereload.django.template.observers import DjangoTemplateDirectoriesObserver
from livereload.server.notifiers import LivereloadServerNotifier
from livereload.event.handlers import LivereloadFileEventHandler
from django.conf import settings
if 'django.contrib.staticfiles' in settings.INSTALLED_APPS:
from dja... | 0 | 0 | 0 | 1,911 | 0 | 0 | 0 | 207 | 115 |
6186902de6a2335f2ab83c456ec694019c8e93e4 | 4,017 | py | Python | scripts/generate_test_cut_silhouette_curio.py | ahadrauf/dxf_stl_renderer | b9b2aad405004d24da11cd1ac1c8debba8de129c | [
"MIT"
] | null | null | null | scripts/generate_test_cut_silhouette_curio.py | ahadrauf/dxf_stl_renderer | b9b2aad405004d24da11cd1ac1c8debba8de129c | [
"MIT"
] | null | null | null | scripts/generate_test_cut_silhouette_curio.py | ahadrauf/dxf_stl_renderer | b9b2aad405004d24da11cd1ac1c8debba8de129c | [
"MIT"
] | null | null | null | import sys
sys.path.append(r"C:\Users\ahadrauf\Desktop\Research\dxf_stl_renderer")
from datetime import datetime
if __name__ == '__main__':
now = datetime.now()
name_clarifier = "_test_cut_silhouette_curio_v2"
timestamp = now.strftime("%Y%m%d_%H_%M_%S") + name_clarifier
print(timestamp)
p = gener... | 42.734043 | 119 | 0.511576 | import sys
sys.path.append(r"C:\Users\ahadrauf\Desktop\Research\dxf_stl_renderer")
from pattern import *
from settings import *
import numpy as np
from datetime import datetime
def generate_test_cut_curio():
p = Pattern(setting=LaserCutter)
pattern_buffer_x = 20 # mm
pattern_buffer_y = 20 # mm
###... | 0 | 0 | 0 | 0 | 0 | 3,430 | 0 | -2 | 90 |
7d3dbadef508f1565f1b08397e96444e2bf92665 | 598 | py | Python | tests/run_all_tests.py | jcartus/SCFInitialGuess | e4a9280e8cbabb126946e47affa652243b74753c | [
"MIT"
] | 1 | 2020-03-02T02:36:59.000Z | 2020-03-02T02:36:59.000Z | tests/run_all_tests.py | jcartus/SCFInitialGuess | e4a9280e8cbabb126946e47affa652243b74753c | [
"MIT"
] | null | null | null | tests/run_all_tests.py | jcartus/SCFInitialGuess | e4a9280e8cbabb126946e47affa652243b74753c | [
"MIT"
] | null | null | null | """This script will run all unit test for the project.
It was taken from
https://github.com/ralf-meyer/NeuralNetworks/tests/run_all_tests.py.
Author:
- Ralf Meyer, QCIEP, TU Graz
"""
import os
import sys
import unittest
from SCFInitialGuess.utilities.usermessages import Messenger as msg
if __name__ == '__main_... | 28.47619 | 90 | 0.73913 | """This script will run all unit test for the project.
It was taken from
https://github.com/ralf-meyer/NeuralNetworks/tests/run_all_tests.py.
Author:
- Ralf Meyer, QCIEP, TU Graz
"""
import os
import sys
import unittest
from SCFInitialGuess.utilities.usermessages import Messenger as msg
if __name__ == '__main_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
437e886c6f60bb69b4d030ad952c0c644f2eb6ed | 320 | py | Python | lesson4.py | arice84/bootcamp | 73a5517bcf282fdb2bd8808eb2bfb839eaceadf1 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | lesson4.py | arice84/bootcamp | 73a5517bcf282fdb2bd8808eb2bfb839eaceadf1 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | lesson4.py | arice84/bootcamp | 73a5517bcf282fdb2bd8808eb2bfb839eaceadf1 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import bootcamp_utils as booU
x = np.random.random(size=100000)
x_ecdf, y_ecdf = booU.ecdf(x)
plt.plot(x_ecdf[::1000], y_ecdf[::1000], marker='.', linestyle='none', markersize=10)
x = np.random.random(size=20)
heads = x <=0.5
| 24.615385 | 85 | 0.734375 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.stats
import bootcamp_utils as booU
x = np.random.random(size=100000)
x_ecdf, y_ecdf = booU.ecdf(x)
plt.plot(x_ecdf[::1000], y_ecdf[::1000], marker='.', linestyle='none', markersize=10)
x = np.random.random(size=20)
heads = x <=0.5
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 44 |
53578873e58b4b89b08a6f925cf69e0bc5a6b8a8 | 3,672 | py | Python | lightnet/models/_network_darknet19.py | eavise-kul/lightnet | d2d5d3fff8f929c3683c34f176217649375b98e1 | [
"MIT"
] | 6 | 2019-10-10T05:42:50.000Z | 2022-02-27T04:59:29.000Z | lightnet/models/_network_darknet19.py | eavise-kul/lightnet | d2d5d3fff8f929c3683c34f176217649375b98e1 | [
"MIT"
] | null | null | null | lightnet/models/_network_darknet19.py | eavise-kul/lightnet | d2d5d3fff8f929c3683c34f176217649375b98e1 | [
"MIT"
] | 4 | 2020-01-25T20:16:23.000Z | 2021-04-29T13:02:34.000Z | #
# Darknet Darknet19 model
# Copyright EAVISE
#
import torch.nn as nn
__all__ = ['Darknet19']
| 51.71831 | 124 | 0.581972 | #
# Darknet Darknet19 model
# Copyright EAVISE
#
import functools
from collections import OrderedDict
import torch.nn as nn
import lightnet.network as lnn
__all__ = ['Darknet19']
class Darknet19(lnn.module.Darknet):
""" Darknet19 implementation :cite:`yolo_v2`.
Args:
num_classes (Number, option... | 0 | 0 | 0 | 3,463 | 0 | 0 | 0 | 18 | 90 |
e2b1a4f31488481804f4c984e3b7b8fd3ec9039f | 1,035 | py | Python | scripts/ensembl/convert_biomart_protein_annotation_to_gff.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | 10 | 2015-04-28T14:15:04.000Z | 2021-03-15T00:07:38.000Z | scripts/ensembl/convert_biomart_protein_annotation_to_gff.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | null | null | null | scripts/ensembl/convert_biomart_protein_annotation_to_gff.py | mahajrod/MAVR | 4db74dff7376a2ffe4426db720b241de9198f329 | [
"MIT"
] | 6 | 2017-03-16T22:38:41.000Z | 2021-08-11T00:22:52.000Z | #!/usr/bin/env python
__author__ = 'Sergei F. Kliver'
import argparse
from RouToolPa.Routines import EnsemblRoutines
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", action="store", dest="input", required=True,
help="Input file with protein annotations generated from Biomar... | 47.045455 | 108 | 0.656039 | #!/usr/bin/env python
__author__ = 'Sergei F. Kliver'
import argparse
from RouToolPa.Routines import EnsemblRoutines
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", action="store", dest="input", required=True,
help="Input file with protein annotations generated from Biomar... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e8ea8ffbc839ca51961c02cf393eb3f1a7ee7e50 | 3,879 | py | Python | CS696/Modelling/embeddings/model.py | tiwarikajal/Stock_fundamental_prediction | df55740bcd9568711fe05d25aaec3a1dd8864a66 | [
"MIT"
] | 1 | 2020-03-20T23:24:21.000Z | 2020-03-20T23:24:21.000Z | CS696/Modelling/embeddings/model.py | tiwarikajal/Stock_fundamental_prediction | df55740bcd9568711fe05d25aaec3a1dd8864a66 | [
"MIT"
] | null | null | null | CS696/Modelling/embeddings/model.py | tiwarikajal/Stock_fundamental_prediction | df55740bcd9568711fe05d25aaec3a1dd8864a66 | [
"MIT"
] | 1 | 2020-04-02T01:34:52.000Z | 2020-04-02T01:34:52.000Z | import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# print(device)
| 44.586207 | 105 | 0.599123 | from transformers import BertTokenizer, BertModel, BertConfig
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# print(device)
class UnStructuredModel:
def __init__(self, model_name, max_length, stride):
self.model_name = model_name
self.tokenizer = None
s... | 0 | 0 | 0 | 3,691 | 0 | 0 | 0 | 40 | 44 |
067da8e80078eca138afceabd7fdbf6388aa1218 | 559 | py | Python | template/dataflow/template.py | eric8607242/OSNASLib | 43908ab454fb78f835f8a015935205179b9acec4 | [
"MIT"
] | 3 | 2021-06-14T11:00:21.000Z | 2021-10-18T02:59:54.000Z | template/dataflow/template.py | eric8607242/OneShot_NAS_example | 2e758a9e5d9e03eecb9c4cc0e2e6a8ec38cf7052 | [
"MIT"
] | 1 | 2021-12-04T07:42:25.000Z | 2021-12-04T15:14:12.000Z | template/dataflow/template.py | eric8607242/OneShot_NAS_example | 2e758a9e5d9e03eecb9c4cc0e2e6a8ec38cf7052 | [
"MIT"
] | null | null | null | def get_{{customize_name}}_dataloader(dataset_path, input_size, batch_size, num_workers, train_portion=1):
""" Prepare dataset for training and evaluating pipeline
Args:
dataset_path (str)
input_size (int)
batch_size (int)
num_workers (int)
train_portion (float)
Ret... | 31.055556 | 106 | 0.677996 | def get_{{customize_name}}_dataloader(dataset_path, input_size, batch_size, num_workers, train_portion=1):
""" Prepare dataset for training and evaluating pipeline
Args:
dataset_path (str)
input_size (int)
batch_size (int)
num_workers (int)
train_portion (float)
Ret... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
57545d4d70a3fea7ce2a0c2f331ce63b7f48d850 | 831 | py | Python | day10/app10/urls.py | 940716tian/PythonStudy | 05738c50c9d504d5f073ded9e70b29c2f76f5ea6 | [
"Apache-2.0"
] | null | null | null | day10/app10/urls.py | 940716tian/PythonStudy | 05738c50c9d504d5f073ded9e70b29c2f76f5ea6 | [
"Apache-2.0"
] | null | null | null | day10/app10/urls.py | 940716tian/PythonStudy | 05738c50c9d504d5f073ded9e70b29c2f76f5ea6 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
urlpatterns = [
url(r"^home$",home,name="home"),
url(r"^market$",market,name="market"),
url(r"^cart$",cart,name="cart"),
url(r"mine$",mine,name="mine"),
url(r"market_with_params/(\d+)/(\d+)/(\d+)",market_with_params,name="market_params"),
url(r"register$... | 37.772727 | 90 | 0.624549 | from django.conf.urls import url
from .views import *
urlpatterns = [
url(r"^home$",home,name="home"),
url(r"^market$",market,name="market"),
url(r"^cart$",cart,name="cart"),
url(r"mine$",mine,name="mine"),
url(r"market_with_params/(\d+)/(\d+)/(\d+)",market_with_params,name="market_params")... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 23 |
c42143022aed6c419e9c5d0f5f8056c62b6dd61d | 19,018 | py | Python | sdk/packages/object_pose_estimation/apps/pose_cnn_decoder/evaluation/pose_cask_evaluation.py | ddr95070/RMIsaac | ee3918f685f0a88563248ddea11d089581077973 | [
"FSFAP"
] | null | null | null | sdk/packages/object_pose_estimation/apps/pose_cnn_decoder/evaluation/pose_cask_evaluation.py | ddr95070/RMIsaac | ee3918f685f0a88563248ddea11d089581077973 | [
"FSFAP"
] | null | null | null | sdk/packages/object_pose_estimation/apps/pose_cnn_decoder/evaluation/pose_cask_evaluation.py | ddr95070/RMIsaac | ee3918f685f0a88563248ddea11d089581077973 | [
"FSFAP"
] | 1 | 2022-01-28T16:37:51.000Z | 2022-01-28T16:37:51.000Z | '''
Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
NVIDIA CORPORATION and its licensors retain all intellectual property
and proprietary rights in and to this software, related documentation
and any modifications thereto. Any use, reproduction, disclosure or
distribution of this software and related docu... | 46.727273 | 100 | 0.658429 | '''
Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
NVIDIA CORPORATION and its licensors retain all intellectual property
and proprietary rights in and to this software, related documentation
and any modifications thereto. Any use, reproduction, disclosure or
distribution of this software and related docu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 44 |
54a1f4a760ebb5dad472c36e509ec9b223912779 | 232 | py | Python | ___Python/Carsten/p03_lambda/m01_filtern.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Carsten/p03_lambda/m01_filtern.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Carsten/p03_lambda/m01_filtern.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | celsius = [0.7, 2.1, 4.2, 8.2, 12.5, 15.6, 16.9, 16.3, 13.6, 9.5, 4.6, 2.3]
# Alle Temperaturen grer gleich 15
gefiltert = []
for month in celsius:
if month >= 15:
gefiltert.append(month)
print(gefiltert)
| 21.090909 | 76 | 0.581897 | celsius = [0.7, 2.1, 4.2, 8.2, 12.5, 15.6, 16.9, 16.3, 13.6, 9.5, 4.6, 2.3]
# Alle Temperaturen größer gleich 15
gefiltert = []
for month in celsius:
if month >= 15:
gefiltert.append(month)
print(gefiltert)
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e0d63a592719e3bfbdfa029d548db56ac17c014c | 2,982 | py | Python | conkit/applications/__init__.py | fsimkovic/cptbx | 9888e40caa1720a9905c551b963ffd4f99f9c913 | [
"BSD-3-Clause"
] | 2 | 2016-10-05T09:00:24.000Z | 2016-10-05T21:12:15.000Z | conkit/applications/__init__.py | fsimkovic/cptbx | 9888e40caa1720a9905c551b963ffd4f99f9c913 | [
"BSD-3-Clause"
] | null | null | null | conkit/applications/__init__.py | fsimkovic/cptbx | 9888e40caa1720a9905c551b963ffd4f99f9c913 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
#
# BSD 3-Clause License
#
# Copyright (c) 2016-21, University of Liverpool
# 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 abov... | 35.082353 | 80 | 0.774648 | # coding=utf-8
#
# BSD 3-Clause License
#
# Copyright (c) 2016-21, University of Liverpool
# 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 abov... | 0 | 0 | 0 | 0 | 0 | 1,057 | 0 | 0 | 184 |
2e7e173f1ec3e3d3bb2b15aeffbbdf342189a27d | 18,609 | py | Python | deepcell/model_zoo/fpn.py | jackstellwagen/deepcell-tf | d9326b8aceb2f25637e0d3934646da8f6a9f9539 | [
"Apache-2.0"
] | null | null | null | deepcell/model_zoo/fpn.py | jackstellwagen/deepcell-tf | d9326b8aceb2f25637e0d3934646da8f6a9f9539 | [
"Apache-2.0"
] | null | null | null | deepcell/model_zoo/fpn.py | jackstellwagen/deepcell-tf | d9326b8aceb2f25637e0d3934646da8f6a9f9539 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016-2019 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");... | 39.259494 | 96 | 0.62631 | # Copyright 2016-2019 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 22 |
b443c8019cb14c7586860bc3a599b7c177dbe167 | 3,638 | py | Python | dns_client.py | soerenschneider/dyndns-updater | 6990a8c2ab4f8dab97ec280839aa64c95f489445 | [
"Apache-2.0"
] | null | null | null | dns_client.py | soerenschneider/dyndns-updater | 6990a8c2ab4f8dab97ec280839aa64c95f489445 | [
"Apache-2.0"
] | null | null | null | dns_client.py | soerenschneider/dyndns-updater | 6990a8c2ab4f8dab97ec280839aa64c95f489445 | [
"Apache-2.0"
] | null | null | null | import logging
from inspect import getmembers, isfunction
import configargparse
import ipv4_providers
from dyndns_updater import UpdateDetector
from notifier import UpdateNotifier
from persistence import FilePersistence
def read_config():
""" Parse CLI args. """
parser = configargparse.ArgumentParser(prog='... | 37.895833 | 248 | 0.711105 | import logging
from inspect import getmembers, isfunction
import configargparse
import ipv4_providers
from prometheus_client import start_http_server
from dyndns_updater import UpdateDetector
from notifier import UpdateNotifier
from persistence import FilePersistence
def read_config():
""" Parse CLI args. """
... | 0 | 0 | 0 | 0 | 0 | 226 | 0 | 26 | 46 |
8902c7a32f03c47cdc50690d08dd869bec933e3f | 10,580 | py | Python | DeepNN_Hardcoded.py | dimitrispapaconstantinou/CourseraDeepLearningSimpleExample | 3c8b2d88e73a1105d0068371a7463c1370802f04 | [
"MIT"
] | null | null | null | DeepNN_Hardcoded.py | dimitrispapaconstantinou/CourseraDeepLearningSimpleExample | 3c8b2d88e73a1105d0068371a7463c1370802f04 | [
"MIT"
] | null | null | null | DeepNN_Hardcoded.py | dimitrispapaconstantinou/CourseraDeepLearningSimpleExample | 3c8b2d88e73a1105d0068371a7463c1370802f04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 18 17:29:22 2017
@author: dimitris
"""
import numpy as np
np.random.seed(1)
####################################
##############################3
train_x_orig, train_y, test_x_orig, test_y, classes = load_data()
# Reshape the training and tes... | 23.563474 | 127 | 0.535161 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 18 17:29:22 2017
@author: dimitris
"""
import numpy as np
import h5py
np.random.seed(1)
def load_data():
train_dataset = h5py.File('datasets/train_catvnoncat.h5', "r")
train_set_x_orig = np.array(train_dataset["train_set_x"][:]) # you... | 0 | 0 | 0 | 0 | 0 | 9,309 | 0 | -10 | 237 |
49a12ff8af9218f00db66b5316abb1027675b424 | 627 | py | Python | sst/syntax/token.py | whitegreyblack/sst | e63b8c18080fb6434f0371771d3f2dd184f7970b | [
"MIT"
] | null | null | null | sst/syntax/token.py | whitegreyblack/sst | e63b8c18080fb6434f0371771d3f2dd184f7970b | [
"MIT"
] | null | null | null | sst/syntax/token.py | whitegreyblack/sst | e63b8c18080fb6434f0371771d3f2dd184f7970b | [
"MIT"
] | null | null | null | # token.py
"""
Holds different grammar and syntax token classes
"""
# regexes from library to recognize numbers
op_token_types = {
'.': 'DOT',
'..': 'RANGE_INCL',
'...': 'RANGE_EXCL',
'-': 'MINUS',
'+': 'PLUS',
'->': 'RARROW'
}
if __name__ == "__main__":
print(Token('->', op_token_types.... | 17.914286 | 67 | 0.61563 | # token.py
"""
Holds different grammar and syntax token classes
"""
# regexes from library to recognize numbers
from tokenize import Floatnumber, Intnumber, Name, group, _compile
from dataclasses import dataclass as struct
from dataclasses import field
class TokenType:
OP = 'OP'
NAME = 'NAME'
NUMBER = '... | 0 | 27 | 0 | 65 | 0 | 0 | 0 | 75 | 113 |
adf5e2d6e082ba08f6fa510fd875c6c47396cc89 | 47 | py | Python | tests/__init__.py | inecik/bioidtracker | b82493435ec561131c20498c629bfac953f71eb0 | [
"MIT"
] | null | null | null | tests/__init__.py | inecik/bioidtracker | b82493435ec561131c20498c629bfac953f71eb0 | [
"MIT"
] | 15 | 2022-03-02T13:33:11.000Z | 2022-03-28T12:28:23.000Z | tests/__init__.py | inecik/bioidtracker | b82493435ec561131c20498c629bfac953f71eb0 | [
"MIT"
] | null | null | null | """Test suite for the bioidtracker package."""
| 23.5 | 46 | 0.723404 | """Test suite for the bioidtracker package."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3a8991d33852366bb4f1fb87e46705e7c02f7e12 | 1,975 | py | Python | webApp/webApp.py | NanoBreeze/Short-Fun-Python-Projects | 67e0d40d60073f81a645c0ccff70d236ff651450 | [
"MIT"
] | null | null | null | webApp/webApp.py | NanoBreeze/Short-Fun-Python-Projects | 67e0d40d60073f81a645c0ccff70d236ff651450 | [
"MIT"
] | null | null | null | webApp/webApp.py | NanoBreeze/Short-Fun-Python-Projects | 67e0d40d60073f81a645c0ccff70d236ff651450 | [
"MIT"
] | null | null | null | '''
Copyright 2017 Linyi Cheng
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, distribute, sublic... | 42.934783 | 460 | 0.748861 | '''
Copyright 2017 Linyi Cheng
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, distribute, sublic... | 0 | 566 | 0 | 0 | 0 | 0 | 0 | 16 | 245 |
a8569f6f4f626d00398db23748558b3fe6bba68e | 264 | py | Python | fritzconnection/__init__.py | funami-dev/fritzconnection | 5525fce72219094108b28b50426e742010a51a57 | [
"MIT"
] | 2 | 2016-11-14T18:58:56.000Z | 2021-03-12T10:15:03.000Z | fritzconnection/__init__.py | funami-dev/fritzconnection | 5525fce72219094108b28b50426e742010a51a57 | [
"MIT"
] | 2 | 2015-12-09T20:12:08.000Z | 2016-11-02T15:03:19.000Z | fritzconnection/__init__.py | deisi/fritzconnection | b5c14515e1c8e2652b06b6316a7f3913df942841 | [
"MIT"
] | 7 | 2016-10-02T18:37:20.000Z | 2021-09-14T21:29:28.000Z | # -*- coding: utf-8 -*-
| 15.529412 | 30 | 0.670455 | # -*- coding: utf-8 -*-
from .fritzconnection import (
FritzConnection,
FritzInspection,
print_servicenames,
print_api,
)
from .fritzhosts import (
FritzHosts,
print_hosts,
)
from .fritzstatus import (
FritzStatus,
print_status,
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 173 | 67 |
2026f1296b094f94ec3138ccecb974b042554d90 | 10,495 | py | Python | post-nonlinear_multiview_learning_demo.py | llvqi/post-nonlinear_multiview_learning | 8a49e3fa97d793ea4da156759fc02556a1104bb1 | [
"Apache-2.0"
] | null | null | null | post-nonlinear_multiview_learning_demo.py | llvqi/post-nonlinear_multiview_learning | 8a49e3fa97d793ea4da156759fc02556a1104bb1 | [
"Apache-2.0"
] | null | null | null | post-nonlinear_multiview_learning_demo.py | llvqi/post-nonlinear_multiview_learning | 8a49e3fa97d793ea4da156759fc02556a1104bb1 | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function
import sys
import torch
# Argument parser
# Post-Nonlinear Multiview Model
# Loss function
# Training function
# Normalize for better visualization
# Dataset class
if __name__ == "__main__":
main(sys.argv[1:])
| 30.071633 | 137 | 0.590091 | from __future__ import print_function
import argparse
import sys
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
import scipy.io as sio
import numpy as np
from torch.utils.data.dataset import Dataset
import matplotlib.pyplot as plt
import matplotlib
import scipy.lin... | 0 | 0 | 0 | 3,062 | 0 | 6,746 | 0 | 51 | 375 |
03f71867c1e74a3d34f3bf0be56a576359515c7d | 1,231 | py | Python | legacy/example_processing.py | smgim/kiltsnielsen | bf8a66f7765c998f8dfecf350f0c307c66889bbe | [
"MIT"
] | 30 | 2019-12-17T20:32:54.000Z | 2022-03-06T01:51:29.000Z | legacy/example_processing.py | smgim/kiltsnielsen | bf8a66f7765c998f8dfecf350f0c307c66889bbe | [
"MIT"
] | null | null | null | legacy/example_processing.py | smgim/kiltsnielsen | bf8a66f7765c998f8dfecf350f0c307c66889bbe | [
"MIT"
] | 12 | 2019-12-30T23:38:39.000Z | 2021-12-09T02:58:59.000Z | import os
# import the nielsenreader
import nielsenreader as nielsen
from nielsenreader import read_all_data_new
# where to read and write from
read_dir = os.path.abspath(os.path.expanduser('~') + '/Cereal/')
outfile=read_dir+'/raw-cereal-all'
# Specify which dmas /modules /columns to keep
dmas=[506,517,556, 602, 75... | 41.033333 | 122 | 0.766044 | import sys,os
# import the nielsenreader
import nielsenreader as nielsen
from nielsenreader import read_all_data_new
# where to read and write from
read_dir = os.path.abspath(os.path.expanduser('~') + '/Cereal/')
outfile=read_dir+'/raw-cereal-all'
# Specify which dmas /modules /columns to keep
dmas=[506,517,556, 602... | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 4 | 22 |
a123f1ad90cd814bdc34b97927becd9614fe7438 | 654 | py | Python | QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py | syedwaleedhyder/Freelance_Projects | 7e2b85fc968850fc018014667b5ce9af0f00cb09 | [
"MIT"
] | 1 | 2020-08-13T17:26:13.000Z | 2020-08-13T17:26:13.000Z | QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py | syedwaleedhyder/Freelance_Projects | 7e2b85fc968850fc018014667b5ce9af0f00cb09 | [
"MIT"
] | null | null | null | QuantitativeSkillsForBusiness_FinalProject/Task4_WorkTogether.py | syedwaleedhyder/Freelance_Projects | 7e2b85fc968850fc018014667b5ce9af0f00cb09 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 20 23:39:43 2019
@author: Syed Waleed Hyder
"""
timeA = int(input("Enter hours for Person A completes the task: "))
timeB = int(input("Enter hours for Person B completes the task: "))
print("Person A completes the task in {} hours".format(timeA))
print("Person B complet... | 29.727273 | 72 | 0.697248 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 20 23:39:43 2019
@author: Syed Waleed Hyder
"""
def time_work_together(timeA, timeB):
rateA = 1/timeA
rateB = 1/timeB
rate_total = rateA + rateB
time_total = 1/rate_total
return time_total
timeA = int(input("Enter hours for Person A completes th... | 0 | 0 | 0 | 0 | 0 | 144 | 0 | 0 | 23 |
317264227fc12845ffd0995ac6c71d0c11173927 | 1,670 | py | Python | uasyncio_iostream/v3/primitives/condition.py | petrkr/micropython-samples | 7429834c6967579f7de8dd2fe0cd9515a3ff3d09 | [
"MIT"
] | 1 | 2020-11-06T20:26:18.000Z | 2020-11-06T20:26:18.000Z | uasyncio_iostream/v3/primitives/condition.py | aivarannamaa/micropython-samples | 7004aa7370d847e6de179b84f9accb1c917ca1b0 | [
"MIT"
] | null | null | null | uasyncio_iostream/v3/primitives/condition.py | aivarannamaa/micropython-samples | 7004aa7370d847e6de179b84f9accb1c917ca1b0 | [
"MIT"
] | null | null | null | try:
import uasyncio as asyncio
except ImportError:
# Condition class
# from primitives.condition import Condition
| 26.09375 | 74 | 0.608982 | try:
import uasyncio as asyncio
except ImportError:
import asyncio
# Condition class
# from primitives.condition import Condition
class Condition():
def __init__(self, lock=None):
self.lock = asyncio.Lock() if lock is None else lock
self.events = []
async def acquire(self):
aw... | 0 | 0 | 561 | 947 | 0 | 0 | 0 | -7 | 49 |
611a52dc646632fd1c60995e79510e90c7580a9e | 37,612 | py | Python | SubredditBirthdays/sb.py | voussoir/redd | 8f49d735f8e204c4e71efaf7fa08cc6ff9ff6f1b | [
"BSD-3-Clause"
] | 444 | 2015-01-04T02:31:53.000Z | 2022-03-22T05:57:08.000Z | SubredditBirthdays/sb.py | voussoir/redd | 8f49d735f8e204c4e71efaf7fa08cc6ff9ff6f1b | [
"BSD-3-Clause"
] | 12 | 2015-05-21T07:56:59.000Z | 2020-02-18T06:26:39.000Z | SubredditBirthdays/sb.py | voussoir/redd | 8f49d735f8e204c4e71efaf7fa08cc6ff9ff6f1b | [
"BSD-3-Clause"
] | 199 | 2015-01-02T14:14:07.000Z | 2022-02-12T14:00:09.000Z | import praw3 as praw
import random
import sqlite3
import string
import sys
import tkinter
import traceback
import types
from voussoirkit import betterhelp
from voussoirkit import mutables
from voussoirkit import sqlhelpers
from voussoirkit import vlogging
log = vlogging.getLogger(__name__, 'sb')
USERAGENT = '''
/u/G... | 32.480138 | 129 | 0.595528 | import argparse
import bot3
import datetime
import praw3 as praw
import random
import sqlite3
import string
import subprocess
import sys
import time
import tkinter
import traceback
import types
from voussoirkit import betterhelp
from voussoirkit import mutables
from voussoirkit import operatornotify
from voussoirkit i... | 0 | 882 | 0 | 0 | 114 | 16,986 | 0 | -8 | 774 |
d5732dc007ce9fa0dc6682aa687b1a9146ea9f49 | 355 | py | Python | blog/migrations/0003_rename_capture_tag_caption.py | MalYou/my_site | 8a3d7fdad5d47029f69724e2f324a836d0bc2e53 | [
"MIT"
] | null | null | null | blog/migrations/0003_rename_capture_tag_caption.py | MalYou/my_site | 8a3d7fdad5d47029f69724e2f324a836d0bc2e53 | [
"MIT"
] | null | null | null | blog/migrations/0003_rename_capture_tag_caption.py | MalYou/my_site | 8a3d7fdad5d47029f69724e2f324a836d0bc2e53 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-05-16 17:47
| 18.684211 | 47 | 0.574648 | # Generated by Django 3.2.3 on 2021-05-16 17:47
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_post_image_url'),
]
operations = [
migrations.RenameField(
model_name='tag',
old_name='capture',
ne... | 0 | 0 | 0 | 249 | 0 | 0 | 0 | 11 | 46 |
671b1539695d85543789c2fee3da16aad877ac2c | 2,950 | py | Python | src/build/android/gyp/dex_jdk_libs.py | goochen/naiveproxy | 1d0682ee5bae6e648cd43c65f49b4eefd224f206 | [
"BSD-3-Clause"
] | 1 | 2020-06-02T02:28:34.000Z | 2020-06-02T02:28:34.000Z | src/build/android/gyp/dex_jdk_libs.py | goochen/naiveproxy | 1d0682ee5bae6e648cd43c65f49b4eefd224f206 | [
"BSD-3-Clause"
] | null | null | null | src/build/android/gyp/dex_jdk_libs.py | goochen/naiveproxy | 1d0682ee5bae6e648cd43c65f49b4eefd224f206 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2020 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.
import sys
if __name__ == '__main__':
main(sys.argv[1:])
| 32.777778 | 80 | 0.665085 | #!/usr/bin/env python
#
# Copyright 2020 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.
import argparse
import os
import shutil
import subprocess
import sys
import zipfile
from util import build_utils
def _ParseArgs(ar... | 0 | 0 | 0 | 0 | 0 | 2,527 | 0 | -30 | 203 |
f9c5850755fb3fe09094c926860c114599f2c355 | 4,601 | py | Python | src/data/feature_att_model.py | tkrollins/question-answering | f42cc53ebe1691ea5901bdcfb64b72e6fe5e3535 | [
"MIT"
] | null | null | null | src/data/feature_att_model.py | tkrollins/question-answering | f42cc53ebe1691ea5901bdcfb64b72e6fe5e3535 | [
"MIT"
] | 4 | 2021-06-02T04:06:15.000Z | 2022-02-10T05:06:23.000Z | src/data/feature_att_model.py | tkrollins/question-answering | f42cc53ebe1691ea5901bdcfb64b72e6fe5e3535 | [
"MIT"
] | null | null | null | import tensorflow as tf
from data_generator import DataGenerator
import argparse as ap
from AttentionLayer import Attention
parser = ap.ArgumentParser()
parser.add_argument('--train_data', type=str, default="data/interim/SQuAD-v1.1-train_sBERT_embeddings-T.json")
parser.add_argument('--val_data', type=str, default="d... | 44.669903 | 177 | 0.752662 | import tensorflow as tf
import numpy as np
from data_generator import DataGenerator
import argparse as ap
from AttentionLayer import Attention
parser = ap.ArgumentParser()
parser.add_argument('--train_data', type=str, default="data/interim/SQuAD-v1.1-train_sBERT_embeddings-T.json")
parser.add_argument('--val_data', t... | 0 | 0 | 0 | 0 | 57 | 0 | 0 | -3 | 45 |
996622890e578d66f6f0a471c42163eff697d806 | 131 | py | Python | components/micropython/modules/backup/disobey_bak/_boot.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 7 | 2019-02-11T10:02:14.000Z | 2019-08-02T00:08:45.000Z | components/micropython/modules/backup/disobey_bak/_boot.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 17 | 2019-01-05T18:02:11.000Z | 2019-03-09T21:46:43.000Z | components/micropython/modules/backup/disobey_bak/_boot.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 4 | 2019-02-15T16:03:20.000Z | 2019-06-27T22:23:24.000Z | import badge, gc, uos
badge.mount_root()
uos.mount(uos.VfsNative(None), '/')
try:
uos.mkdir('/lib')
except:
pass
gc.collect()
| 10.916667 | 35 | 0.671756 | import badge, gc, uos
badge.mount_root()
uos.mount(uos.VfsNative(None), '/')
try:
uos.mkdir('/lib')
except:
pass
gc.collect()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
813a8ce209fa6c27b191963bd6e67321e4277566 | 10,579 | py | Python | secure_message/common/utilities.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | secure_message/common/utilities.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | secure_message/common/utilities.py | uk-gov-mirror/ONSdigital.ras-secure-message | 741eed651eea47dd1a13c7c93b1b1796584cdf2b | [
"MIT"
] | null | null | null | import collections
import logging
from structlog import wrap_logger
from secure_message.constants import MESSAGE_BY_ID_ENDPOINT, MESSAGE_LIST_ENDPOINT, MESSAGE_QUERY_LIMIT
from secure_message.services.service_toggles import party, internal_user_service
logger = wrap_logger(logging.getLogger(__name__))
MessageArgs = ... | 43.714876 | 154 | 0.680121 | import collections
import logging
import urllib.parse
from structlog import wrap_logger
from secure_message.constants import MESSAGE_BY_ID_ENDPOINT, MESSAGE_LIST_ENDPOINT, MESSAGE_QUERY_LIMIT
from secure_message.services.service_toggles import party, internal_user_service
logger = wrap_logger(logging.getLogger(__nam... | 0 | 0 | 0 | 0 | 0 | 245 | 0 | -2 | 45 |
baf78088b70160aa34799c9f06461e8d81e12d58 | 178 | py | Python | NOV25/08.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | NOV25/08.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | NOV25/08.py | Razdeep/PythonSnippets | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | [
"MIT"
] | null | null | null | # Count letters using a dictionary
text='The quick brown fox jumped over the lazy dog'
text=text.upper()
counter=dict()
for i in text:
counter[i]=text.count(i)
print(counter) | 25.428571 | 51 | 0.741573 | # Count letters using a dictionary
text='The quick brown fox jumped over the lazy dog'
text=text.upper()
counter=dict()
for i in text:
counter[i]=text.count(i)
print(counter) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d6a8528153909418fca062ab2e2e9edb99a0d6c4 | 11,536 | py | Python | astrodash/classify.py | FoxFortino/adfox | 6b8679b07af99418d273ae0b0bf19e043d7b590b | [
"MIT"
] | 18 | 2018-11-06T03:09:12.000Z | 2022-02-28T22:44:03.000Z | astrodash/classify.py | FoxFortino/adfox | 6b8679b07af99418d273ae0b0bf19e043d7b590b | [
"MIT"
] | 18 | 2017-01-13T00:01:52.000Z | 2018-01-18T23:31:32.000Z | astrodash/classify.py | FoxFortino/adfox | 6b8679b07af99418d273ae0b0bf19e043d7b590b | [
"MIT"
] | 10 | 2018-08-22T13:31:57.000Z | 2022-03-12T22:59:22.000Z |
try:
except ImportError:
print("Warning: You will need to install 'PyQt5' if you want to use the graphical interface. "
"Using the automatic library will continue to work.")
# # EXAMPLE USAGE:
# classification = Classify(filenames=['/Users/dmuthukrishna/Users/dmuthukrishna/DES16E1dic_E1_combined_161125... | 49.724138 | 137 | 0.606189 | import os
import sys
import pickle
import numpy as np
from astrodash.download_data_files import download_all_files
from astrodash.restore_model import LoadInputSpectra, BestTypesListSingleRedshift, get_training_parameters, \
classification_split
from astrodash.false_positive_rejection import RlapCalc, combined_prob... | 0 | 0 | 0 | 10,373 | 0 | 0 | 0 | 311 | 295 |
2ce034f93fbcaf826375276dc9307b8587969034 | 398 | py | Python | other/dingding/dingtalk/api/rest/OapiAttendanceListRecordRequest.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | other/dingding/dingtalk/api/rest/OapiAttendanceListRecordRequest.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | other/dingding/dingtalk/api/rest/OapiAttendanceListRecordRequest.py | hth945/pytest | 83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc | [
"Apache-2.0"
] | null | null | null | '''
Created by auto_sdk on 2020.07.28
'''
| 22.111111 | 47 | 0.753769 | '''
Created by auto_sdk on 2020.07.28
'''
from dingtalk.api.base import RestApi
class OapiAttendanceListRecordRequest(RestApi):
def __init__(self,url=None):
RestApi.__init__(self,url)
self.checkDateFrom = None
self.checkDateTo = None
self.isI18n = None
self.userIds = None
def getHttpMethod(self):
return ... | 0 | 0 | 0 | 296 | 0 | 0 | 0 | 16 | 44 |
3d68a0b806c83b7e3fd20bdea158e88c24fc0d3b | 429 | py | Python | shapes/try.py | Danil-Grigorev/swagger-marshmallow-codegen | 4c077f6e1ef535bcbdbf1f643f97bc4cbc62c0e8 | [
"MIT"
] | 49 | 2017-02-05T17:32:18.000Z | 2022-01-30T13:20:22.000Z | shapes/try.py | Danil-Grigorev/swagger-marshmallow-codegen | 4c077f6e1ef535bcbdbf1f643f97bc4cbc62c0e8 | [
"MIT"
] | 62 | 2016-12-27T15:38:28.000Z | 2021-09-30T02:47:00.000Z | shapes/try.py | Danil-Grigorev/swagger-marshmallow-codegen | 4c077f6e1ef535bcbdbf1f643f97bc4cbc62c0e8 | [
"MIT"
] | 10 | 2017-07-19T12:38:25.000Z | 2020-04-07T09:11:22.000Z | from __future__ import annotations
import typing as t
if t.TYPE_CHECKING:
if __name__ == "__main__":
from swagger_marshmallow_codegen.cmd import main
main(setup)
| 23.833333 | 59 | 0.757576 | from __future__ import annotations
import typing as t
if t.TYPE_CHECKING:
from swagger_marshmallow_codegen.driver import Driver
def setup(driver: Driver) -> None:
driver.config["additional_properties_default"] = False
driver.config["emit_schema_even_primitive_type"] = True
driver.config["header_comme... | 0 | 0 | 0 | 0 | 0 | 173 | 0 | 32 | 49 |
1b5a79a6bdb6c77177f046f3393e1facf0933a88 | 1,589 | py | Python | goldwater/apply_model.py | wenkokke/UoE-MT3-NMT | 242a4d8221f8a0462c5c23c057d954e18c88fc34 | [
"MIT"
] | null | null | null | goldwater/apply_model.py | wenkokke/UoE-MT3-NMT | 242a4d8221f8a0462c5c23c057d954e18c88fc34 | [
"MIT"
] | null | null | null | goldwater/apply_model.py | wenkokke/UoE-MT3-NMT | 242a4d8221f8a0462c5c23c057d954e18c88fc34 | [
"MIT"
] | null | null | null |
# coding: utf-8
# In[4]:
import getopt
import sys
# In[2]:
# In[5]:
if __name__ == "__main__":
try:
opts,args = getopt.getopt(sys.argv[1:],'i:o:m:',['input','output','model'])
except getopt.GetoptError as err:
# print help information and exit:
print(err) # will print something l... | 23.716418 | 83 | 0.557583 |
# coding: utf-8
# In[4]:
import getopt
import itertools
import json
import sys
# In[2]:
def apply_model(model_file,data_file_in,data_file_out):
with open(model_file, 'r') as model_file:
model = json.load(model_file)
with open(data_file_in, 'r') as text_raw:
text_raw = text_ra... | 0 | 0 | 0 | 0 | 0 | 702 | 0 | -15 | 90 |
51f54ed53d19bf28a34d7ac214fa4a40f2222ac8 | 1,396 | py | Python | setup.py | antoinecarme/pdf_to_json | b04b264738de3207248eaa17897fc276d19ad663 | [
"BSD-3-Clause"
] | null | null | null | setup.py | antoinecarme/pdf_to_json | b04b264738de3207248eaa17897fc276d19ad663 | [
"BSD-3-Clause"
] | null | null | null | setup.py | antoinecarme/pdf_to_json | b04b264738de3207248eaa17897fc276d19ad663 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup
from setuptools import find_packages
long_description = '''
Python module to Convert a PDF file to a JSON format
The goal is to be able to quickly extract all the available information in the document to a python dictionay. The dictionay can then be stored in a database or a csv file (fo... | 38.777778 | 214 | 0.695559 | from setuptools import setup
from setuptools import find_packages
long_description = '''
Python module to Convert a PDF file to a JSON format
The goal is to be able to quickly extract all the available information in the document to a python dictionay. The dictionay can then be stored in a database or a csv file (fo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fd2254ab7aa532b6e882a6587a7bcdbe9a2dbcbe | 7,420 | py | Python | bob/bio/base/script/commands.py | bioidiap/bob.bio.base | 44b8d192e957eb328591c8110cf0113f602292ef | [
"BSD-3-Clause"
] | 16 | 2016-04-06T20:37:55.000Z | 2019-10-19T08:06:25.000Z | bob/bio/base/script/commands.py | bioidiap/bob.bio.base | 44b8d192e957eb328591c8110cf0113f602292ef | [
"BSD-3-Clause"
] | 25 | 2015-07-04T17:41:40.000Z | 2016-08-08T20:36:01.000Z | bob/bio/base/script/commands.py | bioidiap/bob.bio.base | 44b8d192e957eb328591c8110cf0113f602292ef | [
"BSD-3-Clause"
] | 7 | 2015-08-07T17:21:02.000Z | 2018-08-13T15:51:54.000Z | """ Click commands for ``bob.bio.base`` """
SCORE_FORMAT = (
"Files must be 4- or 5- columns format, see "
":py:func:`bob.bio.base.score.load.four_column` and "
":py:func:`bob.bio.base.score.load.five_column` for details."
)
CRITERIA = ("eer", "min-hter", "far", "mindcf", "cllr", "rr")
def rank_option(*... | 34.193548 | 96 | 0.707547 | """ Click commands for ``bob.bio.base`` """
import click
from . import figure as bio_figure
from bob.bio.base.score import iscsv
import bob.measure.script.figure as measure_figure
from ..score import load
from bob.measure.script import common_options
from bob.extension.scripts.click_helper import verbosity_option
SC... | 0 | 6,077 | 0 | 0 | 0 | 427 | 0 | 117 | 389 |
3abe0503b1dc9fd70145726a2b1bdce575e6e1da | 2,838 | py | Python | store/function.py | Soemonewho2/pi-ware | 86d2cd84ca85e36cbcdbc7511f6a4565b18e81d9 | [
"MIT"
] | null | null | null | store/function.py | Soemonewho2/pi-ware | 86d2cd84ca85e36cbcdbc7511f6a4565b18e81d9 | [
"MIT"
] | null | null | null | store/function.py | Soemonewho2/pi-ware | 86d2cd84ca85e36cbcdbc7511f6a4565b18e81d9 | [
"MIT"
] | null | null | null | #Import modules
#Variables
#window = tk.Tk()
# Window tabs
#tab_control = Notebook(window)
#apps_tab = Frame(tab_control)
#tree = Treeview(apps_tab)
#Functions
| 33.785714 | 147 | 0.668781 | #Import modules
from tkinter import *
from tkinter.ttk import *
import tkinter as tk
#Variables
#window = tk.Tk()
# Window tabs
#tab_control = Notebook(window)
#apps_tab = Frame(tab_control)
#tree = Treeview(apps_tab)
#Functions
def show_desc(apt,*args):
item = tree.selection()[0]
app = tree.item(item,"text")... | 0 | 0 | 0 | 0 | 0 | 2,470 | 0 | 3 | 203 |
9d03e612a5795ce3b2d3a41b33dd7c7b04d6d246 | 2,583 | py | Python | data-processor/src/quality_measurement/__main__.py | cns-iu/map4sci | f7d7901f7a0e058067f56b1aa65c46491b7970a5 | [
"MIT"
] | 2 | 2019-02-27T20:24:54.000Z | 2020-07-08T16:27:22.000Z | data-processor/src/quality_measurement/__main__.py | cns-iu/map4sci | f7d7901f7a0e058067f56b1aa65c46491b7970a5 | [
"MIT"
] | 44 | 2021-02-01T17:48:08.000Z | 2022-03-04T13:47:39.000Z | data-processor/src/quality_measurement/__main__.py | cns-iu/map4sci | f7d7901f7a0e058067f56b1aa65c46491b7970a5 | [
"MIT"
] | null | null | null | import argparse
import subprocess
def run_original(args: argparse.Namespace) -> None:
"""Runs quality measurements using the original algorithms.
Parameters
----------
args : argparse.Namespace
Metrics configuration arguments.
"""
metrics = []
if args.crossings:
metrics.ap... | 34.44 | 85 | 0.61866 | import argparse
import subprocess
def run_original(args: argparse.Namespace) -> None:
"""Runs quality measurements using the original algorithms.
Parameters
----------
args : argparse.Namespace
Metrics configuration arguments.
"""
metrics = []
if args.crossings:
metrics.ap... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
978acaf152750fb62a004b7c18f7d798c2f7e1b9 | 172 | py | Python | plugin/src/test/resources/quickFixes/AddMethodQuickFixTest/addMethodFromMethod_after.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | null | null | null | plugin/src/test/resources/quickFixes/AddMethodQuickFixTest/addMethodFromMethod_after.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | 11 | 2017-02-27T22:35:32.000Z | 2021-12-24T08:07:40.000Z | plugin/src/test/resources/quickFixes/AddMethodQuickFixTest/addMethodFromMethod_after.py | consulo/consulo-python | 586c3eaee3f9c2cc87fb088dc81fb12ffa4b3a9d | [
"Apache-2.0"
] | null | null | null |
# Some comment
| 11.466667 | 26 | 0.488372 | class A:
def __init__(self):
self.x = 1
def foo(self, a):
self.y(1, a)
def y(self, param, a):
pass
# Some comment
class B:
pass
| 0 | 0 | 0 | 111 | 0 | 0 | 0 | 0 | 45 |
d91b5be27903aa4cfbb523d65b4c0612b875fffc | 1,707 | py | Python | mezzanine_events/forms.py | unplugstudio/mezzanine-calendar | 5338741cf74502ccb791e02fddc520ad29472af5 | [
"MIT"
] | null | null | null | mezzanine_events/forms.py | unplugstudio/mezzanine-calendar | 5338741cf74502ccb791e02fddc520ad29472af5 | [
"MIT"
] | null | null | null | mezzanine_events/forms.py | unplugstudio/mezzanine-calendar | 5338741cf74502ccb791e02fddc520ad29472af5 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, unicode_literals
| 29.431034 | 81 | 0.654364 | from __future__ import absolute_import, unicode_literals
from django import forms
from .models import EventCategory
from .utils import today
class GridFilterForm(forms.Form):
"""
Collection of fields to filter EventDateTimes in the grid view.
"""
categories = forms.ModelMultipleChoiceField(
... | 0 | 0 | 0 | 1,516 | 0 | 0 | 0 | 18 | 114 |
d88aa5bb30b70a1910dde85035f809c2d7aa4561 | 1,946 | py | Python | basic_samples/SDS/Python/SDSPy/Python2/DataviewQueryQuery.py | hanhossain/OCS-Samples | 6f0f7878e6d9bccc32b6d663446678e070859d14 | [
"Apache-2.0"
] | null | null | null | basic_samples/SDS/Python/SDSPy/Python2/DataviewQueryQuery.py | hanhossain/OCS-Samples | 6f0f7878e6d9bccc32b6d663446678e070859d14 | [
"Apache-2.0"
] | null | null | null | basic_samples/SDS/Python/SDSPy/Python2/DataviewQueryQuery.py | hanhossain/OCS-Samples | 6f0f7878e6d9bccc32b6d663446678e070859d14 | [
"Apache-2.0"
] | null | null | null | # DataviewQueryQuery.py
#
# Copyright (C) 2018 OSIsoft, LLC. All rights reserved.
#
# THIS SOFTWARE CONTAINS CONFIDENTIAL INFORMATION AND TRADE SECRETS OF
# OSIsoft, LLC. USE, DISCLOSURE, OR REPRODUCTION IS PROHIBITED WITHOUT
# THE PRIOR EXPRESS WRITTEN PERMISSION OF OSIsoft, LLC.
#
# RESTRICTED RIGHTS LEGEND
# Use, d... | 25.605263 | 92 | 0.659301 | # DataviewQueryQuery.py
#
# Copyright (C) 2018 OSIsoft, LLC. All rights reserved.
#
# THIS SOFTWARE CONTAINS CONFIDENTIAL INFORMATION AND TRADE SECRETS OF
# OSIsoft, LLC. USE, DISCLOSURE, OR REPRODUCTION IS PROHIBITED WITHOUT
# THE PRIOR EXPRESS WRITTEN PERMISSION OF OSIsoft, LLC.
#
# RESTRICTED RIGHTS LEGEND
# Use, d... | 0 | 806 | 0 | 526 | 0 | 0 | 0 | -10 | 46 |
353b414583ba0b3e7c4091b47d1eb5662e4c6c47 | 13,954 | py | Python | traktor/tools_traktor/rekordbox_add_beatmarkers.py | pestrela/music | 5e2b7172196c472d381d5d08062f9ff0aa6d7e66 | [
"MIT"
] | 33 | 2020-03-31T16:53:08.000Z | 2022-02-20T15:01:51.000Z | traktor/tools_traktor/rekordbox_add_beatmarkers.py | pestrela/music | 5e2b7172196c472d381d5d08062f9ff0aa6d7e66 | [
"MIT"
] | 2 | 2020-06-16T11:26:14.000Z | 2020-06-27T10:22:26.000Z | traktor/tools_traktor/rekordbox_add_beatmarkers.py | pestrela/music | 5e2b7172196c472d381d5d08062f9ff0aa6d7e66 | [
"MIT"
] | 7 | 2020-04-17T19:47:35.000Z | 2021-12-21T19:55:48.000Z | #!/usr/bin/env python3
help_text="""
This program takes a Rekorxdbox XML and adds beatmarkers every 8 beats.
This is useful to convert later to traktor, that lacks dynamic beatgrids
"""
help_text2=""
import sys, os, glob, string
import re
# base libraries
import argparse
import os
import ... | 26.938224 | 154 | 0.622331 | #!/usr/bin/env python3
help_text="""
This program takes a Rekorxdbox XML and adds beatmarkers every 8 beats.
This is useful to convert later to traktor, that lacks dynamic beatgrids
"""
help_text2=""
import sys, os, glob, string, marshal
import string, re
# base libraries
import argparse
... | 0 | 0 | 0 | 434 | 0 | 8,662 | 0 | 63 | 609 |
500d70cd1ddbc71e1944100357c156a9972c33f6 | 5,606 | py | Python | app/modules/fileuploads/models.py | karenc/houston | 4eaaaf11d61394035e34b55bb847ea7eb4099c61 | [
"Apache-2.0"
] | null | null | null | app/modules/fileuploads/models.py | karenc/houston | 4eaaaf11d61394035e34b55bb847ea7eb4099c61 | [
"Apache-2.0"
] | 2 | 2021-03-16T20:28:06.000Z | 2021-03-29T15:54:11.000Z | app/modules/fileuploads/models.py | karenc/houston | 4eaaaf11d61394035e34b55bb847ea7eb4099c61 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
FileUploads database models
--------------------
"""
import logging
log = logging.getLogger(__name__)
| 33.975758 | 116 | 0.631823 | # -*- coding: utf-8 -*-
"""
FileUploads database models
--------------------
"""
import logging
import uuid
import os
import shutil
from flask import current_app
from PIL import Image
from app.extensions import db, HoustonModel
log = logging.getLogger(__name__)
def modify_image(source_path, operation, args=(), kwa... | 0 | 1,484 | 0 | 3,212 | 0 | 597 | 0 | 0 | 180 |
210f85818ea1cf58f68e27c3fc7586328596d928 | 2,152 | py | Python | demoDay10-NLPAndBayes/nlp_txt/testHyj.py | mozhumz/machine_learning_py | 880f6778ac16b0a16a80b31972a35304caa91dc1 | [
"MulanPSL-1.0"
] | null | null | null | demoDay10-NLPAndBayes/nlp_txt/testHyj.py | mozhumz/machine_learning_py | 880f6778ac16b0a16a80b31972a35304caa91dc1 | [
"MulanPSL-1.0"
] | null | null | null | demoDay10-NLPAndBayes/nlp_txt/testHyj.py | mozhumz/machine_learning_py | 880f6778ac16b0a16a80b31972a35304caa91dc1 | [
"MulanPSL-1.0"
] | null | null | null | import re
from common import common_util
"""
"""
text = "he is good, Hello, world! ;!\?()<> "+"\sA-Za-z()%*#+-\.\\\/:=__,;""''?!<>^&{}|="
punc2=r"""~`!#$%^&*()_+-=|\'\\;":/.,?><~@#%&*+-={}!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~"""
text=text+punc2
print(common_util.trim_with_space_flag(text,True))
# punctuation =punctuation+ ... | 33.625 | 145 | 0.565985 | import re
from string import punctuation
from common import common_util
"""
去除中英文标点符号
"""
text = "he is good, Hello, world! 这里，苹果：我;第!一个程序\?()（）<>《》【】 "+"\sA-Za-z～()（）【】%*#+-\.\\\/:=：__,，。、;；“”""''’‘？?！!<《》>^&{}|=……"
punc2=r"""~`!#$%^&*()_+-=|\'\\;":/.,?><~·！@#￥%……&*（）——+-=“：’；、。，？》《{}!"#$%&'()*+,-./:;<=>?@[\]^_`{|}~“”... | 806 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 22 |
f494078218cef9d28eecd19bf4aac3db786cc827 | 2,465 | py | Python | hostlist/views.py | Hasal/dzhops | fcd16adc61a941dccdaebee156b545784a5e96a8 | [
"Apache-2.0"
] | 202 | 2015-05-18T08:48:52.000Z | 2021-07-16T13:59:07.000Z | hostlist/views.py | Hasal/dzhops | fcd16adc61a941dccdaebee156b545784a5e96a8 | [
"Apache-2.0"
] | 19 | 2015-11-26T03:54:45.000Z | 2019-03-02T13:58:24.000Z | hostlist/views.py | Hasal/dzhops | fcd16adc61a941dccdaebee156b545784a5e96a8 | [
"Apache-2.0"
] | 172 | 2015-08-07T15:52:17.000Z | 2021-07-16T13:59:11.000Z | # -*- coding: utf-8 -*-
import logging
log = logging.getLogger('dzhops')
| 25.412371 | 90 | 0.608114 | # -*- coding: utf-8 -*-
from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.http import require_GET
from hostlist.models import DzhUser, DataCenter, HostList
import logging
log = logging.getLogger... | 123 | 1,588 | 0 | 0 | 0 | 433 | 0 | 146 | 179 |
dfeaad006ee38d869b894e5f5c9f501e6fa10795 | 644 | py | Python | tests/Testing_stats_functions/test_mvtstat.py | bthirion/pyrft | 275399992b23217131cad1ac094778c2745a9128 | [
"MIT"
] | null | null | null | tests/Testing_stats_functions/test_mvtstat.py | bthirion/pyrft | 275399992b23217131cad1ac094778c2745a9128 | [
"MIT"
] | null | null | null | tests/Testing_stats_functions/test_mvtstat.py | bthirion/pyrft | 275399992b23217131cad1ac094778c2745a9128 | [
"MIT"
] | null | null | null | # Obtain the size of the array
sD = np.shape(data)
# Obtain the dimensions
Dim = sD[0:-1]
# Obtain the number of dimensions
D = len(Dim)
# Obtain the number of subjects
nsubj = sD[-1]
# Get the mean and stanard deviation along the number of subjects
xbar = data.mean(D) # Rem... | 28 | 89 | 0.650621 | # Obtain the size of the array
sD = np.shape(data)
# Obtain the dimensions
Dim = sD[0:-1]
# Obtain the number of dimensions
D = len(Dim)
# Obtain the number of subjects
nsubj = sD[-1]
# Get the mean and stanard deviation along the number of subjects
xbar = data.mean(D) # Rem... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b3f2fc15a38bca7baf7258ff4385fabee6d9920 | 1,838 | py | Python | refdata/error.py | Aahbree/reference-data-repository | f318c0532aaf941ec4f00c8375c9dea45c56f186 | [
"MIT"
] | null | null | null | refdata/error.py | Aahbree/reference-data-repository | f318c0532aaf941ec4f00c8375c9dea45c56f186 | [
"MIT"
] | 5 | 2021-01-27T22:17:19.000Z | 2021-12-14T17:13:58.000Z | refdata/error.py | Aahbree/reference-data-repository | f318c0532aaf941ec4f00c8375c9dea45c56f186 | [
"MIT"
] | 5 | 2021-12-08T02:33:44.000Z | 2021-12-13T03:21:51.000Z | # This file is part of the Reference Data Repository (refdata).
#
# Copyright (C) 2021 New York University.
#
# refdata is free software; you can redistribute it and/or modify it under the
# terms of the MIT License; see LICENSE file for more details.
"""Custom error classes raised by different components of the packa... | 29.645161 | 78 | 0.642546 | # This file is part of the Reference Data Repository (refdata).
#
# Copyright (C) 2021 New York University.
#
# refdata is free software; you can redistribute it and/or modify it under the
# terms of the MIT License; see LICENSE file for more details.
"""Custom error classes raised by different components of the packa... | 0 | 0 | 0 | 1,415 | 0 | 0 | 0 | 0 | 92 |
0cc740513cf38e5f9288b47de72890eeb2b6339d | 38,763 | py | Python | ops-tests/feature/acl_common_test_suite.py | learnopx/ops-classifierd | 8f473be41cacf21b09b9b7d49cd0f730c1ca5fc0 | [
"Apache-2.0"
] | null | null | null | ops-tests/feature/acl_common_test_suite.py | learnopx/ops-classifierd | 8f473be41cacf21b09b9b7d49cd0f730c1ca5fc0 | [
"Apache-2.0"
] | null | null | null | ops-tests/feature/acl_common_test_suite.py | learnopx/ops-classifierd | 8f473be41cacf21b09b9b7d49cd0f730c1ca5fc0 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Hewlett Packard Enterprise Development LP
#
# 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
#
# U... | 38.647059 | 79 | 0.563192 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Hewlett Packard Enterprise Development LP
#
# 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
#
# U... | 0 | 0 | 0 | 37,699 | 0 | 0 | 0 | 204 | 223 |
bb8261416c79ab8d506ed31f7df0a002c8486c47 | 53 | py | Python | MotunrayoKoyejo/Phase 1/Python Basic 1/Day2/Q2.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | MotunrayoKoyejo/Phase 1/Python Basic 1/Day2/Q2.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | MotunrayoKoyejo/Phase 1/Python Basic 1/Day2/Q2.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | import sys
print('Python version')
print(sys.version) | 17.666667 | 23 | 0.792453 | import sys
print('Python version')
print(sys.version) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9aec5b230800b9ec3686697f7334e0d86e372c56 | 1,890 | py | Python | engine/compile/ops/gemm.py | kevinintel/neural-compressor | b57645566aeff8d3c18dc49d2739a583c072f940 | [
"Apache-2.0"
] | 172 | 2021-09-14T18:34:17.000Z | 2022-03-30T06:49:53.000Z | engine/compile/ops/gemm.py | kevinintel/neural-compressor | b57645566aeff8d3c18dc49d2739a583c072f940 | [
"Apache-2.0"
] | 40 | 2021-09-14T02:26:12.000Z | 2022-03-29T08:34:04.000Z | engine/compile/ops/gemm.py | kevinintel/neural-compressor | b57645566aeff8d3c18dc49d2739a583c072f940 | [
"Apache-2.0"
] | 33 | 2021-09-15T07:27:25.000Z | 2022-03-25T08:30:57.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 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
#
# Unl... | 34.363636 | 74 | 0.579365 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 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
#
# Unl... | 0 | 1,117 | 0 | 0 | 0 | 0 | 0 | 27 | 67 |
589feaf69506ca950fc4f8a4b8a6c5f6614dbf1b | 8,578 | py | Python | python/veles/server/conn.py | pombredanne/veles | e65de5a7c268129acffcdb03034efd8d256d025c | [
"Apache-2.0"
] | 918 | 2017-01-16T17:31:25.000Z | 2022-03-27T07:10:31.000Z | python/veles/server/conn.py | pombredanne/veles | e65de5a7c268129acffcdb03034efd8d256d025c | [
"Apache-2.0"
] | 193 | 2017-01-17T13:56:10.000Z | 2020-09-01T08:29:48.000Z | python/veles/server/conn.py | pombredanne/veles | e65de5a7c268129acffcdb03034efd8d256d025c | [
"Apache-2.0"
] | 112 | 2017-02-01T01:05:57.000Z | 2022-03-29T07:21:12.000Z | # Copyright 2017 CodiLime
#
# 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, softwar... | 33.639216 | 79 | 0.616694 | # Copyright 2017 CodiLime
#
# 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, softwar... | 0 | 0 | 1,144 | 5,995 | 0 | 0 | 0 | 395 | 314 |
9bf4950fa7dff86cba87c5812448f7591d0ed42f | 2,265 | py | Python | PyPoll/main.py | sandykolu/PyBankPoll_Challenge | 373b892ef034d51360e90828b88f950e3967b8b0 | [
"MIT"
] | null | null | null | PyPoll/main.py | sandykolu/PyBankPoll_Challenge | 373b892ef034d51360e90828b88f950e3967b8b0 | [
"MIT"
] | null | null | null | PyPoll/main.py | sandykolu/PyBankPoll_Challenge | 373b892ef034d51360e90828b88f950e3967b8b0 | [
"MIT"
] | null | null | null | import os
import csv
csvpath = os.path.join(".", "Resources", "election_data.csv")
output = os.path.join('.', 'analysis', 'election_results.txt')
candidate =[]
candidate_list = []
votecount = {}
winning_candidate = ""
winning_count = 0
# def print_poll_results(candidate_name):
# The total number of votes cast
# A c... | 27.289157 | 77 | 0.574834 | import os
import csv
csvpath = os.path.join(".", "Resources", "election_data.csv")
output = os.path.join('.', 'analysis', 'election_results.txt')
candidate =[]
candidate_list = []
votecount = {}
winning_candidate = ""
winning_count = 0
# def print_poll_results(candidate_name):
# The total number of votes cast
# A c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c7d1ce5fdb40537f12732894e88e17e0be504515 | 1,589 | py | Python | calweek.py | yuridadt/week_calc | 97c553b61d635803f8ceb623d96ffbfe81f6f390 | [
"MIT"
] | null | null | null | calweek.py | yuridadt/week_calc | 97c553b61d635803f8ceb623d96ffbfe81f6f390 | [
"MIT"
] | null | null | null | calweek.py | yuridadt/week_calc | 97c553b61d635803f8ceb623d96ffbfe81f6f390 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
yw = CalWeek('2019-01')
print(yw)
print(str(yw))
print(yw + 200)
print(200 + yw)
print(yw + (-100))
print(yw - 100)
print(yw - CalWeek('1000-01'))
| 29.981132 | 85 | 0.590308 | from datetime import datetime, timedelta
class CalWeek:
"""
Class providing arithmetic operations for year-week date format
"""
def __init__(self, year_week, format='%G-%V'):
self.year, self.week = [int(val) for val in year_week.split('-')]
if self.year < 1 or self.year > 9999:
... | 0 | 0 | 0 | 1,316 | 0 | 0 | 0 | 19 | 45 |
26529381c9bc11a892e3213d940993c4f1d4dd75 | 1,640 | py | Python | src/feature vector creation/step8_cohort_info.py | arjun-parthi/SSRI-Project | 62f610a594e5849ccf0f3c25cd6adcd63888ec2a | [
"MIT"
] | 2 | 2019-02-12T00:37:37.000Z | 2021-03-25T05:40:06.000Z | src/feature vector creation/step8_cohort_info.py | arjun-parthi/SSRI-Project | 62f610a594e5849ccf0f3c25cd6adcd63888ec2a | [
"MIT"
] | null | null | null | src/feature vector creation/step8_cohort_info.py | arjun-parthi/SSRI-Project | 62f610a594e5849ccf0f3c25cd6adcd63888ec2a | [
"MIT"
] | 1 | 2021-03-25T05:40:17.000Z | 2021-03-25T05:40:17.000Z | import pandas as pd
file1 = '../data/FV2.xlsx'
x1 = pd.ExcelFile(file1)
feature = x1.parse('Sheet1')
print(feature.shape)
file2 = '../data/AP_SSRI_PD_PAIN.xlsx'
x2 = pd.ExcelFile(file2)
cohort1 = x2.parse('Sheet1')
print(cohort1.shape)
cohort1 = cohort1.drop(['CLASSIFICATION'], axis=1)
cohort1 = cohort1.drop_duplicate... | 30.37037 | 65 | 0.739024 | import pandas as pd
import numpy as np
file1 = '../data/FV2.xlsx'
x1 = pd.ExcelFile(file1)
feature = x1.parse('Sheet1')
print(feature.shape)
file2 = '../data/AP_SSRI_PD_PAIN.xlsx'
x2 = pd.ExcelFile(file2)
cohort1 = x2.parse('Sheet1')
print(cohort1.shape)
cohort1 = cohort1.drop(['CLASSIFICATION'], axis=1)
cohort1 = coh... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
d5caa76a6b5772b51a51975e3431c014ec00ddc5 | 7,568 | py | Python | modularity/GirvanNewman.py | peterwinter/boxcluster | 079452dd029a45390f0347e22df3fce048210389 | [
"MIT"
] | 1 | 2016-11-14T22:23:25.000Z | 2016-11-14T22:23:25.000Z | modularity/GirvanNewman.py | peterwinter/boxcluster | 079452dd029a45390f0347e22df3fce048210389 | [
"MIT"
] | null | null | null | modularity/GirvanNewman.py | peterwinter/boxcluster | 079452dd029a45390f0347e22df3fce048210389 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""
Implementation of the GirvanNewman algorithm
for finding the best modularity in a network
"""
# def get_protected_edges(G, similar_sets):
# protected_edges = []
# for s in similar_sets:
# for u in s:
# for v in s[1:]:
# if G.has_edge(u, v):
# ... | 32.62069 | 80 | 0.637817 | #! /usr/bin/env python
"""
Implementation of the GirvanNewman algorithm
for finding the best modularity in a network
"""
import copy
import random
import networkx as nx
from .base import modularity
from .base import largest_connected
def get_graph(filename):
G = nx.Graph()
f = open(filename)
data = f.read... | 0 | 0 | 0 | 0 | 0 | 6,802 | 0 | 3 | 317 |
cb56e2e991646f35151e36f241cb42b711fa8f72 | 1,314 | py | Python | backend/company/migrations/0004_auto_20211128_2356.py | mahanfarzaneh2000/ProjeTor | bf21d2cfcd64552c8be5d97eb4ac1c7c3f7d9ca9 | [
"Apache-2.0"
] | null | null | null | backend/company/migrations/0004_auto_20211128_2356.py | mahanfarzaneh2000/ProjeTor | bf21d2cfcd64552c8be5d97eb4ac1c7c3f7d9ca9 | [
"Apache-2.0"
] | null | null | null | backend/company/migrations/0004_auto_20211128_2356.py | mahanfarzaneh2000/ProjeTor | bf21d2cfcd64552c8be5d97eb4ac1c7c3f7d9ca9 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.8 on 2021-11-28 20:26
| 39.818182 | 140 | 0.644597 | # Generated by Django 3.2.8 on 2021-11-28 20:26
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('company', '0003_alter_co... | 0 | 0 | 0 | 1,134 | 0 | 0 | 0 | 41 | 90 |
d522918719c848e139191400a0e4af080f69264b | 18,084 | py | Python | messageslog/messageslog.py | skylarr1227/Fixator10-Cogs | cef6b2e51d8c400b0462cfcf44b637275d3780d3 | [
"MIT"
] | null | null | null | messageslog/messageslog.py | skylarr1227/Fixator10-Cogs | cef6b2e51d8c400b0462cfcf44b637275d3780d3 | [
"MIT"
] | null | null | null | messageslog/messageslog.py | skylarr1227/Fixator10-Cogs | cef6b2e51d8c400b0462cfcf44b637275d3780d3 | [
"MIT"
] | null | null | null | import logging
from redbot.core import commands
from redbot.core.i18n import Translator
def is_channel_set(channel_type: str):
"""Checks if server has set channel for logging"""
return commands.check(predicate)
log = logging.getLogger("red.fixator10-cogs.messageslog")
_ = Translator("MessagesLog", __file_... | 42.055814 | 99 | 0.599536 | import logging
from datetime import datetime, timezone
from pprint import pformat
from typing import Union
import discord
from redbot.core import checks, commands
from redbot.core.config import Config
from redbot.core.i18n import Translator, cog_i18n, set_contextual_locales_from_guild
from redbot.core.utils import Asy... | 9 | 16,989 | 343 | 0 | 0 | 0 | 0 | 175 | 250 |