max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
tests/parser/exceptions/test_constancy_exception.py | upgradvisor/vyper | 1,347 | 6628051 | import pytest
from pytest import raises
from vyper import compiler
from vyper.exceptions import ImmutableViolation, StateAccessViolation
@pytest.mark.parametrize(
"bad_code",
[
"""
x: int128
@external
@view
def foo() -> int128:
self.x = 5
return 1""",
"""
@external
@view
def foo() -> ... | import pytest
from pytest import raises
from vyper import compiler
from vyper.exceptions import ImmutableViolation, StateAccessViolation
@pytest.mark.parametrize(
"bad_code",
[
"""
x: int128
@external
@view
def foo() -> int128:
self.x = 5
return 1""",
"""
@external
@view
def foo() -> ... | en | 0.476243 | x: int128 @external @view def foo() -> int128: self.x = 5 return 1 @external @view def foo() -> int128: send(0x1234567890123456789012345678901234567890, 5) return 1 @external @view def foo(): selfdestruct(0x1234567890123456789012345678901234567890) x: int128 y: int128 @external @view def foo() -> in... | 2.366375 | 2 |
omnilearn/op/report.py | GiuliaLanzillotta/omni-learn | 0 | 6628052 |
import sys, os
try:
from tqdm import tqdm
except ImportError:
tqdm = None
from tabulate import tabulate
import humpack as hp
import omnifig as fig
FD_PATH = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
DEFAULT_SAVE_PATH = os.path.join(os.path.dirname(FD_PATH), 'trained_nets')
de... |
import sys, os
try:
from tqdm import tqdm
except ImportError:
tqdm = None
from tabulate import tabulate
import humpack as hp
import omnifig as fig
FD_PATH = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
DEFAULT_SAVE_PATH = os.path.join(os.path.dirname(FD_PATH), 'trained_nets')
de... | en | 0.439492 | # for k,v in info.items(): # setattr(run, k, v) # return info # # @fig.Script('report', description='compile a report of past runs') # print(root) # region Load Runs # endregion | 2.110175 | 2 |
modules/lib/PrefabOpenSSL.py | threefoldtech/jumpscale_prefab9 | 0 | 6628053 | from jumpscale import j
base = j.tools.prefab._getBaseClass()
# DANGEROUS
# HIDE OPENSSL
"""
sudo mv -f /usr/local/etc/openssl /usr/local/etc/openssl_
sudo mv -f /usr/local/Cellar/openssl /usr/local/Cellar/openssl_
sudo mv -f /usr/local/include/node/openssl /usr/local/include/node/openssl_
sudo mv -f /usr/local/inclu... | from jumpscale import j
base = j.tools.prefab._getBaseClass()
# DANGEROUS
# HIDE OPENSSL
"""
sudo mv -f /usr/local/etc/openssl /usr/local/etc/openssl_
sudo mv -f /usr/local/Cellar/openssl /usr/local/Cellar/openssl_
sudo mv -f /usr/local/include/node/openssl /usr/local/include/node/openssl_
sudo mv -f /usr/local/inclu... | en | 0.259497 | # DANGEROUS # HIDE OPENSSL sudo mv -f /usr/local/etc/openssl /usr/local/etc/openssl_ sudo mv -f /usr/local/Cellar/openssl /usr/local/Cellar/openssl_ sudo mv -f /usr/local/include/node/openssl /usr/local/include/node/openssl_ sudo mv -f /usr/local/include/openssl /usr/local/include/openssl_ sudo mv -f /usr/local/opt/ope... | 1.883569 | 2 |
scooch/config_factory.py | PandoraMedia/scooch | 6 | 6628054 | <filename>scooch/config_factory.py
# coding=utf-8
# Copyright 2021 Pandora Media, LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | <filename>scooch/config_factory.py
# coding=utf-8
# Copyright 2021 Pandora Media, LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | en | 0.763474 | # coding=utf-8 # Copyright 2021 Pandora Media, LLC. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or... | 2.266457 | 2 |
src/autoks/core/model_selection/boms_model_selector.py | lschlessinger1/MS-project | 2 | 6628055 | from typing import List, Callable, Optional, Union
from src.autoks.backend.model import RawGPModelType
from src.autoks.callbacks import CallbackList
from src.autoks.core.covariance import Covariance
from src.autoks.core.gp_model_population import GPModelPopulation
from src.autoks.core.grammar import BomsGrammar
from s... | from typing import List, Callable, Optional, Union
from src.autoks.backend.model import RawGPModelType
from src.autoks.callbacks import CallbackList
from src.autoks.core.covariance import Covariance
from src.autoks.core.gp_model_population import GPModelPopulation
from src.autoks.core.grammar import BomsGrammar
from s... | en | 0.590313 | # Use Laplace inference by default. # initialize models | 2.156649 | 2 |
WeblogicScanLot/poc/CVE_2017_3506.py | y11en/super-guacamole | 32 | 6628056 | #!/usr/bin/env python3
# _*_ coding:utf-8 _*_
'''
____ _ _ _ _ __ __ _
| _ \ __ _| |__ | |__ (_) |_| \/ | __ _ ___| | __
| |_) / _` | '_ \| '_ \| | __| |\/| |/ _` / __| |/ /
| _ < (_| | |_) | |_) | | |_| | | | (_| \__ \ <
|_| \_\__,_|_.__/|_.__/|_|\__|_| |_|\__,_|___/_|\_... | #!/usr/bin/env python3
# _*_ coding:utf-8 _*_
'''
____ _ _ _ _ __ __ _
| _ \ __ _| |__ | |__ (_) |_| \/ | __ _ ___| | __
| |_) / _` | '_ \| '_ \| | __| |\/| |/ _` / __| |/ /
| _ < (_| | |_) | |_) | | |_| | | | (_| \__ \ <
|_| \_\__,_|_.__/|_.__/|_|\__|_| |_|\__,_|___/_|\_... | en | 0.288145 | #!/usr/bin/env python3 # _*_ coding:utf-8 _*_ ____ _ _ _ _ __ __ _
| _ \ __ _| |__ | |__ (_) |_| \/ | __ _ ___| | __
| |_) / _` | '_ \| '_ \| | __| |\/| |/ _` / __| |/ /
| _ < (_| | |_) | |_) | | |_| | | | (_| \__ \ <
|_| \_\__,_|_.__/|_.__/|_|\__|_| |_|\__,_|___/_|\_\ <soape... | 2.158667 | 2 |
pyasn1/type/char.py | EnjoyLifeFund/py36pkgs | 39 | 6628057 | #
# This file is part of pyasn1 software.
#
# Copyright (c) 2005-2017, <NAME> <<EMAIL>>
# License: http://pyasn1.sf.net/license.html
#
import sys
from pyasn1.type import univ, tag
from pyasn1 import error
__all__ = ['NumericString', 'PrintableString', 'TeletexString', 'T61String', 'VideotexString',
'IA5Str... | #
# This file is part of pyasn1 software.
#
# Copyright (c) 2005-2017, <NAME> <<EMAIL>>
# License: http://pyasn1.sf.net/license.html
#
import sys
from pyasn1.type import univ, tag
from pyasn1 import error
__all__ = ['NumericString', 'PrintableString', 'TeletexString', 'T61String', 'VideotexString',
'IA5Str... | en | 0.503038 | # # This file is part of pyasn1 software. # # Copyright (c) 2005-2017, <NAME> <<EMAIL>> # License: http://pyasn1.sf.net/license.html # Creates |ASN.1| type or object. |ASN.1| objects are immutable and duck-type Python 2 :class:`unicode` or Python 3 :class:`str`. When used in octet-stream context, |ASN.1| type ... | 2.078594 | 2 |
tools/data/textdet/textocr_converter.py | xyzhu8/mmocr | 1 | 6628058 | import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of TextOCR ')
parser.add_argument('root_path', help='Root dir path of TextOCR')
args = p... | import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of TextOCR ')
parser.add_argument('root_path', help='Root dir path of TextOCR')
args = p... | en | 0.436393 | # img_idx = img_start_idx # Ignore illegible or non-English words | 2.578764 | 3 |
fedjax/legacy/core/metrics.py | alshedivat/fedjax | 0 | 6628059 | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | en | 0.810994 | # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ... | 2.453875 | 2 |
Diskret/1stLab/task3.py | ShuffleZZZ/ITMO | 11 | 6628060 | def save1(c):
if (c[-1]=='1'):
return 1
return 0
def save0(c):
if (c[0]=='0'):
return 1
return 0
def dv(c, n):
if (n==0):
return 0
for i in range(2**(n-1)):
if (c[i]==c[-i-1]):
return 0
return 1
def mono(c,n):
if n==0:
return 1
... | def save1(c):
if (c[-1]=='1'):
return 1
return 0
def save0(c):
if (c[0]=='0'):
return 1
return 0
def dv(c, n):
if (n==0):
return 0
for i in range(2**(n-1)):
if (c[i]==c[-i-1]):
return 0
return 1
def mono(c,n):
if n==0:
return 1
... | none | 1 | 2.983406 | 3 | |
tests/test_unicode.py | arabidopsis/lektor | 0 | 6628061 | # coding: utf-8
import os
from lektor.build_programs import BuildError
from lektor.builder import Builder
from lektor.db import Database
from lektor.environment import Environment
from lektor.project import Project
from lektor.reporter import BufferReporter
def get_unicode_builder(tmpdir):
proj = Project.from_pa... | # coding: utf-8
import os
from lektor.build_programs import BuildError
from lektor.builder import Builder
from lektor.db import Database
from lektor.environment import Environment
from lektor.project import Project
from lektor.reporter import BufferReporter
def get_unicode_builder(tmpdir):
proj = Project.from_pa... | en | 0.63398 | # coding: utf-8 # pylint: disable=no-member # pylint: disable=no-member | 2.035479 | 2 |
ibllib/pipes/local_server.py | hanhou/ibllib | 0 | 6628062 | import logging
from datetime import datetime
from pathlib import Path
import pkg_resources
import re
import subprocess
import sys
import traceback
from ibllib.io.extractors.base import get_session_extractor_type, get_pipeline
from ibllib.pipes import ephys_preprocessing, training_preprocessing, tasks
from ibllib.time ... | import logging
from datetime import datetime
from pathlib import Path
import pkg_resources
import re
import subprocess
import sys
import traceback
from ibllib.io.extractors.base import get_session_extractor_type, get_pipeline
from ibllib.pipes import ephys_preprocessing, training_preprocessing, tasks
from ibllib.time ... | en | 0.781282 | # size_list = ['/dev/sdc1', '1921802500', '1427128132', '494657984', '75%', '/datadisk'] Get a few indicators and label the json field of the corresponding lab with them Server function that will look for creation flags and for each: 1) create the sessions on Alyx 2) register the corresponding raw data files on... | 1.944533 | 2 |
scripts/goodSummaries.py | olizhu10/newsroom | 0 | 6628063 | <gh_stars>0
import sys
import jsonl
from multiprocessing import Pool
from threading import Lock
from tqdm import tqdm
import nltk
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag
import json
def preprocess(sent):
sent = nltk.word_tokenize(sent)
sent = nltk.pos_tag(sent)
retur... | import sys
import jsonl
from multiprocessing import Pool
from threading import Lock
from tqdm import tqdm
import nltk
from nltk.tokenize import word_tokenize
from nltk.tag import pos_tag
import json
def preprocess(sent):
sent = nltk.word_tokenize(sent)
sent = nltk.pos_tag(sent)
return sent
wi... | en | 0.933228 | Creates dictionary for entire dataset with article archives as keys and
(summary, text) as values. | 2.535152 | 3 |
scripts/rig/show_dataset_image.py | Asap7772/railrl_evalsawyer | 1 | 6628064 | <gh_stars>1-10
import argparse
import uuid
import cv2
import numpy as np
filename = str(uuid.uuid4())
def vis(args):
imgs = np.load(args.file)
for image_obs in imgs:
if image_obs.size == 6912:
im = image_obs.reshape(3, 48, 48).transpose()
else:
im = image_obs.reshape(... | import argparse
import uuid
import cv2
import numpy as np
filename = str(uuid.uuid4())
def vis(args):
imgs = np.load(args.file)
for image_obs in imgs:
if image_obs.size == 6912:
im = image_obs.reshape(3, 48, 48).transpose()
else:
im = image_obs.reshape(3, 84, 84).tran... | none | 1 | 2.79777 | 3 | |
test/test_bitstring.py | oittaa/bitstring | 0 | 6628065 | <filename>test/test_bitstring.py
#!/usr/bin/env python
"""
Module-level unit tests.
"""
import copy
import unittest
import bitstring
class ModuleData(unittest.TestCase):
def testVersion(self):
self.assertEqual(bitstring.__version__, "3.1.9")
def testAll(self):
exported = [
"Cons... | <filename>test/test_bitstring.py
#!/usr/bin/env python
"""
Module-level unit tests.
"""
import copy
import unittest
import bitstring
class ModuleData(unittest.TestCase):
def testVersion(self):
self.assertEqual(bitstring.__version__, "3.1.9")
def testAll(self):
exported = [
"Cons... | en | 0.69183 | #!/usr/bin/env python Module-level unit tests. # These values might be platform dependent, so don't fret too much. | 2.734505 | 3 |
extra/mesh_repair/repair_mesh.py | digisomni/character-creator-1 | 17 | 6628066 | #!/usr/bin/env python
"""STL union script using pymesh"""
__author__ = "<NAME>, <EMAIL>"
__license__ = "MIT"
__date__ = "05/09/2018"
# Usage:
# docker run -it --rm -v `pwd`:/root `meshes`:/meshes qnzhou/pymesh python repair_mesh.py -v
## Libraries -------------------
import time
import pymesh
import numpy as np
fro... | #!/usr/bin/env python
"""STL union script using pymesh"""
__author__ = "<NAME>, <EMAIL>"
__license__ = "MIT"
__date__ = "05/09/2018"
# Usage:
# docker run -it --rm -v `pwd`:/root `meshes`:/meshes qnzhou/pymesh python repair_mesh.py -v
## Libraries -------------------
import time
import pymesh
import numpy as np
fro... | en | 0.367603 | #!/usr/bin/env python STL union script using pymesh # Usage: # docker run -it --rm -v `pwd`:/root `meshes`:/meshes qnzhou/pymesh python repair_mesh.py -v ## Libraries ------------------- ## Functions ------------------- loading mesh using pymesh Mesh union between meshA and meshB, needs to be intersecting faces ## Open... | 2.475365 | 2 |
tests/test_utils.py | kozistr/pytorch_optimizer | 20 | 6628067 | from typing import List
import numpy as np
import pytest
import torch
from torch import nn
from pytorch_optimizer.utils import (
clip_grad_norm,
get_optimizer_parameters,
has_overflow,
is_valid_parameters,
neuron_mean,
neuron_norm,
normalize_gradient,
unit_norm,
)
from tests.utils impo... | from typing import List
import numpy as np
import pytest
import torch
from torch import nn
from pytorch_optimizer.utils import (
clip_grad_norm,
get_optimizer_parameters,
has_overflow,
is_valid_parameters,
neuron_mean,
neuron_norm,
normalize_gradient,
unit_norm,
)
from tests.utils impo... | none | 1 | 2.402151 | 2 | |
geodeconstructor/tools.py | ThomasVieth/geodeconstructor | 0 | 6628068 | """
"""
## python imports
from functools import wraps
## __all__ declaration
__all__ = (
"classproperty",
)
## classproperty declaration
class classproperty(property):
"""A descriptor for a class rather than an object/instance. Used by
decorating an class method with no parameters. Acting similarly t... | """
"""
## python imports
from functools import wraps
## __all__ declaration
__all__ = (
"classproperty",
)
## classproperty declaration
class classproperty(property):
"""A descriptor for a class rather than an object/instance. Used by
decorating an class method with no parameters. Acting similarly t... | en | 0.687564 | ## python imports ## __all__ declaration ## classproperty declaration A descriptor for a class rather than an object/instance. Used by decorating an class method with no parameters. Acting similarly to the property descriptor builtin and uses `functools.wraps` to maintain documentation. | 3.268927 | 3 |
src/ll4ma_kdl/scripts/test_hand_model.py | NYU-robot-learning/Allegro-Hand-Controller-DIME | 0 | 6628069 | <reponame>NYU-robot-learning/Allegro-Hand-Controller-DIME
import numpy as np
from handModel import HandModel
from scipy.spatial.transform import Rotation as R
def test_hand_model_FK():
model = HandModel("allegro/robot_description")
q = np.array([0.1, 0.1, 0.1, 0.1]).T
# 2 denotes RING finger
fk = model... | import numpy as np
from handModel import HandModel
from scipy.spatial.transform import Rotation as R
def test_hand_model_FK():
model = HandModel("allegro/robot_description")
q = np.array([0.1, 0.1, 0.1, 0.1]).T
# 2 denotes RING finger
fk = model.FK(q, 2) # 4x4 matrix
assert fk.shape == (4,4)
p... | en | 0.716927 | # 2 denotes RING finger # 4x4 matrix # fk for biotac origin must be different # test jacobians # 4x4 matrix | 2.342401 | 2 |
src/pyfuncs/chrome_cookie.py | fishs-x/pyfuncs | 0 | 6628070 | import sys
import sqlite3
import getpass
import logging
import keyring
from itertools import chain
from typing import Iterator
from urllib.parse import urlparse
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.ciphers import Cipher
from cryptography.hazmat.primitives.ciphers.... | import sys
import sqlite3
import getpass
import logging
import keyring
from itertools import chain
from typing import Iterator
from urllib.parse import urlparse
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.ciphers import Cipher
from cryptography.hazmat.primitives.ciphers.... | zh | 0.872779 | creation_utc：Cookie产生的utc时间 host_key：Cookie所在的网页(domain) name：Cookie名称 value：不加密的Cookie值，由于Chrome几乎都会对Cookie值加密后再存储，因此这个字段基本都是空的 path：如果服务器需要设置Cookies，那么服务器在响应浏览器请求的时候会返回Set-Cookie的响应，并且附带所要设置的Cookies，这里的path的默认值就是返回Set-Cookie的那个页面。path以'/'为开头。 expires_utc：Cookie的有效期限 is_secure：指示在浏览器与服务器之间传输该Co... | 2.061282 | 2 |
flappybird.py | karangandhi272/Flappy-ball | 0 | 6628071 | <filename>flappybird.py
import pygame
import random
pygame.init()
pygame.font.init()
pygame.display.set_caption("Flappy Ball")
screen = pygame.display.set_mode((400, 600))
scorefont = pygame.font.SysFont('Comic Sans MS', 15)
def main():
global z
global score
global y
global spacecount
global highscore
... | <filename>flappybird.py
import pygame
import random
pygame.init()
pygame.font.init()
pygame.display.set_caption("Flappy Ball")
screen = pygame.display.set_mode((400, 600))
scorefont = pygame.font.SysFont('Comic Sans MS', 15)
def main():
global z
global score
global y
global spacecount
global highscore
... | none | 1 | 3.250999 | 3 | |
cogs/welcome_goodbye.py | nikhilvayeda/Bhendi-Bot-3 | 8 | 6628072 | <filename>cogs/welcome_goodbye.py<gh_stars>1-10
import discord
from discord.ext import commands
import Constants as consts
class Others_welcome_goodbye(commands.Cog):
def __init__(self, client):
self.client = client
self.channel = None
@commands.Cog.listener()
async def on_memb... | <filename>cogs/welcome_goodbye.py<gh_stars>1-10
import discord
from discord.ext import commands
import Constants as consts
class Others_welcome_goodbye(commands.Cog):
def __init__(self, client):
self.client = client
self.channel = None
@commands.Cog.listener()
async def on_memb... | en | 0.857596 | when a member joins the server Hello {member.mention}!({member}), Welcome to Say Station. \n
Be sure to read the rules in <#{consts.CHANNEL_IDS['RULES']}>. Go have a chat with the members in <#{consts.CHANNEL_IDS['GENERAL']}> when a member leaves the server | 2.964902 | 3 |
grow/templates/tests.py | akashkalal/grow | 335 | 6628073 | """Template jinja tests."""
def is_subset_of(value, subset):
"""Check if a variable is a subset."""
return set(value) >= set(subset)
def is_superset_of(value, superset):
"""Check if a variable is a superset."""
return set(value) <= set(superset)
def create_builtin_tests():
"""Tests standard for t... | """Template jinja tests."""
def is_subset_of(value, subset):
"""Check if a variable is a subset."""
return set(value) >= set(subset)
def is_superset_of(value, superset):
"""Check if a variable is a superset."""
return set(value) <= set(superset)
def create_builtin_tests():
"""Tests standard for t... | en | 0.591444 | Template jinja tests. Check if a variable is a subset. Check if a variable is a superset. Tests standard for the template rendering. | 2.387294 | 2 |
p1_navigation/QNetwork.py | asolis345/Udacity_RL | 0 | 6628074 | <reponame>asolis345/Udacity_RL
import torch
import torch.nn as nn
import torch.nn.functional as F
class QNetwork(nn.Module):
"""Actor (Policy) Model."""
def __init__(self, state_size, action_size, layers, seed, dropout=0.2, use_l_relu=False):
"""Initialize parameters and build model.
Params
... | import torch
import torch.nn as nn
import torch.nn.functional as F
class QNetwork(nn.Module):
"""Actor (Policy) Model."""
def __init__(self, state_size, action_size, layers, seed, dropout=0.2, use_l_relu=False):
"""Initialize parameters and build model.
Params
======
state... | en | 0.582958 | Actor (Policy) Model. Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed Build a network that maps state -> action values. | 2.910425 | 3 |
src/python/pants/engine/internals/engine_test.py | wiwa/pants | 0 | 6628075 | # Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import itertools
import time
import unittest
from dataclasses import dataclass, field
from textwrap import dedent
from typing import List
from pants.engine.fs import EMPTY_DIGEST
from pan... | # Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import itertools
import time
import unittest
from dataclasses import dataclass, field
from textwrap import dedent
from typing import List
from pants.engine.fs import EMPTY_DIGEST
from pan... | en | 0.786018 | # Copyright 2015 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). # type: ignore[return] # This set of dummy types and the following `@rule`s are intended to test that workunits are # being generated correctly and with the correct parent-child relationshi... | 1.893702 | 2 |
pasture/helpers.py | douglatornell/randopony | 0 | 6628076 | <gh_stars>0
"""Helper functions for the RandoPony apps.
"""
# Google Docs:
import gdata.acl.data
# Django:
from django.conf import settings
#RandoPony:
from .models import EmailAddress
def email2words(email):
"""Return a slightly obfuscated version of the email address.
Replaces @ with ' at ', and . with ' d... | """Helper functions for the RandoPony apps.
"""
# Google Docs:
import gdata.acl.data
# Django:
from django.conf import settings
#RandoPony:
from .models import EmailAddress
def email2words(email):
"""Return a slightly obfuscated version of the email address.
Replaces @ with ' at ', and . with ' dot '.
""... | en | 0.817961 | Helper functions for the RandoPony apps. # Google Docs: # Django: #RandoPony: Return a slightly obfuscated version of the email address. Replaces @ with ' at ', and . with ' dot '. | 2.333667 | 2 |
ihspines.py | BanaglMaeder/layered-spines | 0 | 6628077 | <reponame>BanaglMaeder/layered-spines<gh_stars>0
import numpy as np
import copy
# Floor functions is used for certain perversity functions
from math import floor
from numpy.linalg import norm
# Delaunay triangulation used to generate Delaunay-Vietoris-Rips complexes
from scipy.spatial import Delaunay
##############... | import numpy as np
import copy
# Floor functions is used for certain perversity functions
from math import floor
from numpy.linalg import norm
# Delaunay triangulation used to generate Delaunay-Vietoris-Rips complexes
from scipy.spatial import Delaunay
###############################################################... | en | 0.596168 | # Floor functions is used for certain perversity functions # Delaunay triangulation used to generate Delaunay-Vietoris-Rips complexes ############################################################################### ###########################Z/2Z SMITH NORMAL FORM############################## ##########################... | 3.102221 | 3 |
statistic/structure_sheet.py | VoprosiKira/l2 | 0 | 6628078 | <gh_stars>0
import json
from collections import OrderedDict
import openpyxl
from openpyxl.styles import Border, Side, Alignment, Font, NamedStyle
from openpyxl.utils.cell import get_column_letter
from directions.models import IstochnikiFinansirovaniya
from doctor_call.models import DoctorCall
from hospitals.tfoms_hos... | import json
from collections import OrderedDict
import openpyxl
from openpyxl.styles import Border, Side, Alignment, Font, NamedStyle
from openpyxl.utils.cell import get_column_letter
from directions.models import IstochnikiFinansirovaniya
from doctor_call.models import DoctorCall
from hospitals.tfoms_hospital import... | ru | 0.285321 | Основа(каркас) для итоговых данных :return: Заговловки видов работ :param ws1: :param titles: :return: :param ws1: :return: # габариты ячеек :param ws1: :return: # габариты ячеек :param ws1: :return: # габариты ячеек :param ws1: :return: # габариты ячеек :param ws1: :return: # габари... | 2.084481 | 2 |
splunk_connect_for_snmp/enrich/tasks.py | melord/splunk-connect-for-snmp | 0 | 6628079 | #
# Copyright 2021 Splunk 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 writing, so... | #
# Copyright 2021 Splunk 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 writing, so... | en | 0.803392 | # # Copyright 2021 Splunk 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 writing, so... | 1.785046 | 2 |
ppcls/modeling/architectures/mobilenet_v1.py | cq2019git/PaddleClas | 13 | 6628080 | <gh_stars>10-100
#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#Unless require... | #copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#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 l... | en | 0.813346 | #copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # #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 l... | 2.100459 | 2 |
cms/migrations/0035_data_migration_for_content_field.py | Wassaf-Shahzad/micromasters | 32 | 6628081 | # Generated by Django 2.1.2 on 2019-01-15 12:04
import json
from django.core.serializers.json import DjangoJSONEncoder
from django.db import migrations
from wagtail.core.rich_text import RichText
def page_to_streamfield(page):
changed = False
if page.content.raw_text and not page.content:
page.con... | # Generated by Django 2.1.2 on 2019-01-15 12:04
import json
from django.core.serializers.json import DjangoJSONEncoder
from django.db import migrations
from wagtail.core.rich_text import RichText
def page_to_streamfield(page):
changed = False
if page.content.raw_text and not page.content:
page.con... | en | 0.939164 | # Generated by Django 2.1.2 on 2019-01-15 12:04 # It's already valid JSON. Leave it. # It's not apparently a StreamField. Leave it. | 2.160766 | 2 |
src/azure-cli/azure/cli/command_modules/databoxedge/manual/custom.py | YuanyuanNi/azure-cli | 3,287 | 6628082 | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incor... | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incor... | en | 0.553276 | # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incor... | 1.905617 | 2 |
imapmon/__main__.py | soar/imapmon | 0 | 6628083 | from .scripts import run
def main():
return run(auto_envvar_prefix='IMAPMON') # pylint: disable=no-value-for-parameter
if __name__ == '__main__':
main()
| from .scripts import run
def main():
return run(auto_envvar_prefix='IMAPMON') # pylint: disable=no-value-for-parameter
if __name__ == '__main__':
main()
| en | 0.278494 | # pylint: disable=no-value-for-parameter | 1.254132 | 1 |
prody/database/quartataweb.py | bwingert/ProDy | 0 | 6628084 | # -*- coding: utf-8 -*-
"""This module defines classes and functions for browsing QuartataWeb.
----------------------------------------------------------------------------------------
Based on code written by the CHARMM-GUI team (http://charmm-gui.org) and modified by <NAME>
This suite uses the following softwares:
a... | # -*- coding: utf-8 -*-
"""This module defines classes and functions for browsing QuartataWeb.
----------------------------------------------------------------------------------------
Based on code written by the CHARMM-GUI team (http://charmm-gui.org) and modified by <NAME>
This suite uses the following softwares:
a... | en | 0.765276 | # -*- coding: utf-8 -*- This module defines classes and functions for browsing QuartataWeb. ---------------------------------------------------------------------------------------- Based on code written by the CHARMM-GUI team (http://charmm-gui.org) and modified by <NAME> This suite uses the following softwares: a) p... | 2.555782 | 3 |
handlers/song.py | ajmalyaseen/Nx-Music-DL | 0 | 6628085 | from __future__ import unicode_literals
import os
import requests
import aiohttp
import youtube_dl
import wget
import math
from pyrogram import filters, Client
from youtube_search import YoutubeSearch
from Python_ARQ import ARQ
from urllib.parse import urlparse
import aiofiles
import os
from random import randint
from ... | from __future__ import unicode_literals
import os
import requests
import aiohttp
import youtube_dl
import wget
import math
from pyrogram import filters, Client
from youtube_search import YoutubeSearch
from Python_ARQ import ARQ
from urllib.parse import urlparse
import aiofiles
import os
from random import randint
from ... | en | 0.197836 | #print(results) # Funtion To Download Song # Deezer Music #await pablo.edit(event, f"**Failed To Download** \n**Error :** `{str(e)}`") | 2.465405 | 2 |
meutils/cmds/hdfs_cmd.py | Jie-Yuan/MeUtils | 3 | 6628086 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : MeUtils.
# @File : hdfs_cmd
# @Time : 2021/1/20 10:15 上午
# @Author : yuanjie
# @Email : <EMAIL>
# @Software : PyCharm
# @Description :
from meutils.pipe import *
class HDFS(object):
HADOOP_HOME = os.environ.get('HA... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project : MeUtils.
# @File : hdfs_cmd
# @Time : 2021/1/20 10:15 上午
# @Author : yuanjie
# @Email : <EMAIL>
# @Software : PyCharm
# @Description :
from meutils.pipe import *
class HDFS(object):
HADOOP_HOME = os.environ.get('HA... | en | 0.240426 | #!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : MeUtils. # @File : hdfs_cmd # @Time : 2021/1/20 10:15 上午 # @Author : yuanjie # @Email : <EMAIL> # @Software : PyCharm # @Description : # f"{HADOOP_HOME}/hadoop --cluster {HDFS_CLUSTER_NAME} fs" # 包含？-test -d :param path: /... | 2.313786 | 2 |
modules/viz/samples/viz_sample_02.py | pccvlab/opencv_contrib | 7,158 | 6628087 | <filename>modules/viz/samples/viz_sample_02.py<gh_stars>1000+
import numpy as np
import cv2 as cv
my_window = cv.viz_Viz3d("Coordinate Frame")
axe = cv.viz_WCoordinateSystem()
axis = cv.viz_WLine((-1.0,-1.0,-1.0), (1.0,1.0,1.0), cv.viz_Color().green())
axis.setRenderingProperty(cv.viz.LINE_WIDTH, 4.0);
my_window.show... | <filename>modules/viz/samples/viz_sample_02.py<gh_stars>1000+
import numpy as np
import cv2 as cv
my_window = cv.viz_Viz3d("Coordinate Frame")
axe = cv.viz_WCoordinateSystem()
axis = cv.viz_WLine((-1.0,-1.0,-1.0), (1.0,1.0,1.0), cv.viz_Color().green())
axis.setRenderingProperty(cv.viz.LINE_WIDTH, 4.0);
my_window.show... | en | 0.260315 | #my_window.showWidget("plan", plan) | 2.361356 | 2 |
data/loader.py | jkulhanek/soloist | 3 | 6628088 | import os
import functools
import logging
from data.utils import ConcatDialogDataset, split_name, wrap_dataset_with_blacklist
RESTRICTED_DOMAINS = ['hotel', 'train', 'restaurant', 'attraction', 'taxi',
'hospital', 'police', 'rentalcar', 'flight', 'hotels',
'restaurant-search... | import os
import functools
import logging
from data.utils import ConcatDialogDataset, split_name, wrap_dataset_with_blacklist
RESTRICTED_DOMAINS = ['hotel', 'train', 'restaurant', 'attraction', 'taxi',
'hospital', 'police', 'rentalcar', 'flight', 'hotels',
'restaurant-search... | en | 0.743111 | # This is a concat dataset # NOTE: we do not have backtranslations for MultiWOZ 2.0 | 2.365214 | 2 |
core/domain/visualization_registry.py | aadilmehdis/oppia | 1 | 6628089 | <filename>core/domain/visualization_registry.py
# coding: utf-8
#
# Copyright 2014 The Oppia 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.... | <filename>core/domain/visualization_registry.py
# coding: utf-8
#
# Copyright 2014 The Oppia 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.... | en | 0.898718 | # coding: utf-8 # # Copyright 2014 The Oppia Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requi... | 1.943548 | 2 |
pyscf/pbc/gw/krgw_ac.py | mfkasim1/pyscf | 1 | 6628090 | #!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | #!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | en | 0.750797 | #!/usr/bin/env python # Copyright 2014-2020 The PySCF Developers. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # U... | 1.675714 | 2 |
tensorflow/python/debug/lib/debug_grappler_test.py | abhaikollara/tensorflow | 1 | 6628091 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | en | 0.861092 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica... | 1.652986 | 2 |
event.py | akakou-hobby/tcp-client-chan | 0 | 6628092 |
''' page/request/control.py
イベントがあった時にこっちに飛ばされる。
'''
import os
import configparser
from lib.http_client import http_client
class Event():
def __init__(self, view):
'''Viewのインスタンスを取ってくる'''
self.view = view
def button_clicked(self):
'''リクエストボタンが押されたとき'''
### 各UIの持ってる値を持ってくる
... |
''' page/request/control.py
イベントがあった時にこっちに飛ばされる。
'''
import os
import configparser
from lib.http_client import http_client
class Event():
def __init__(self, view):
'''Viewのインスタンスを取ってくる'''
self.view = view
def button_clicked(self):
'''リクエストボタンが押されたとき'''
### 各UIの持ってる値を持ってくる
... | ja | 1.000007 | page/request/control.py イベントがあった時にこっちに飛ばされる。 Viewのインスタンスを取ってくる リクエストボタンが押されたとき ### 各UIの持ってる値を持ってくる ### レスポンス作成 ### 通信 ### 設定ファイルの読み込み ### ファイル保存 ### メモ帳の起動 ### 終了 | 2.723455 | 3 |
examples/set_zeroreset.py | MasterSpecter/ekmmeters | 9 | 6628093 | """ Simple example zero reset
(c) 2016 EKM Metering.
"""
from ekmmeters import *
#port and meter
my_port_name = "/dev/ttyO4"
my_meter_address = "000300001463"
#logging to console
ekm_set_log(ekm_print_log)
#open port and init
port = SerialPort(my_port_name)
if (port.initPort() == True):
my_meter = V4Meter(my_mete... | """ Simple example zero reset
(c) 2016 EKM Metering.
"""
from ekmmeters import *
#port and meter
my_port_name = "/dev/ttyO4"
my_meter_address = "000300001463"
#logging to console
ekm_set_log(ekm_print_log)
#open port and init
port = SerialPort(my_port_name)
if (port.initPort() == True):
my_meter = V4Meter(my_mete... | en | 0.474745 | Simple example zero reset (c) 2016 EKM Metering. #port and meter #logging to console #open port and init # no port no meter | 2.714043 | 3 |
dqn.py | JiekaiJia/pettingzoo_comunication | 1 | 6628094 | """"""
from copy import deepcopy
import os
from pettingzoo.mpe import (
simple_crypto_v2,
simple_reference_v2,
simple_speaker_listener_v3,
simple_spread_v2,
simple_tag_v2,
simple_world_comm_v2,
)
import ray
from ray.rllib.agents.registry import get_trainer_class
from ray import tune
from ray.tu... | """"""
from copy import deepcopy
import os
from pettingzoo.mpe import (
simple_crypto_v2,
simple_reference_v2,
simple_speaker_listener_v3,
simple_spread_v2,
simple_tag_v2,
simple_world_comm_v2,
)
import ray
from ray.rllib.agents.registry import get_trainer_class
from ray import tune
from ray.tu... | en | 0.651787 | # Create test environment. # Register env # The used algorithm # Gets default training configuration. # === Settings for Rollout Worker processes === # Use GPUs if `RLLIB_NUM_GPUS` env var set to > 0. # Number of rollout worker actors to create for parallel sampling. # === Settings for the Trainer process === # Whether... | 1.933626 | 2 |
FirstShot/Listen.py | PengZhang0/Bipedal-robot-relay-racing-motion-system-based-on-OpenCV-and-NAOqi-OS | 0 | 6628095 | # coding=utf-8
import Walk
import time
import NewWalk
import Utils
import numpy as np
from threading import Lock, Thread, Event
from Config import CommonConfig, ListenConfig, WalkConfig
import wave
# if CommonConfig.IS_DEBUG_MODEL:
# from matplotlib import pyplot as plt
# flag = 1 # 信号指示灯，如果某一时刻的响... | # coding=utf-8
import Walk
import time
import NewWalk
import Utils
import numpy as np
from threading import Lock, Thread, Event
from Config import CommonConfig, ListenConfig, WalkConfig
import wave
# if CommonConfig.IS_DEBUG_MODEL:
# from matplotlib import pyplot as plt
# flag = 1 # 信号指示灯，如果某一时刻的响... | zh | 0.59256 | # coding=utf-8 # if CommonConfig.IS_DEBUG_MODEL: # from matplotlib import pyplot as plt # flag = 1 # 信号指示灯，如果某一时刻的响度大于这个阈值，flag会变成0，代表机器人可以开跑了 # lock = Lock() # 锁对象，用于同步 # event = Event() # 录音文件保存地址 # 录音保存格式 # 录音频率 # 录音通道 # 录音文件保存地址 # 录音保存格式 # 录音频率 # 录音通道 # 延迟，录音 # 结束录音 # NAO机器人上传文件到本地 # 如果在NAO机器人上运行的话就什么也不做 ####... | 2.173033 | 2 |
pdm/builders/__init__.py | shidenggui/pdm | 1 | 6628096 | <filename>pdm/builders/__init__.py
from pdm.builders.editable import EditableBuilder # noqa
from pdm.builders.sdist import SdistBuilder # noqa
from pdm.builders.wheel import WheelBuilder # noqa
| <filename>pdm/builders/__init__.py
from pdm.builders.editable import EditableBuilder # noqa
from pdm.builders.sdist import SdistBuilder # noqa
from pdm.builders.wheel import WheelBuilder # noqa
| uz | 0.446344 | # noqa # noqa # noqa | 1.237811 | 1 |
youtube_api/parsers.py | M4rkoHR/youtube-data-api | 0 | 6628097 | <gh_stars>0
import json
import sys
import datetime
from collections import OrderedDict
if sys.version_info[0] == 2:
from collections import Iterable
else:
from collections.abc import Iterable
from youtube_api.youtube_api_utils import parse_yt_datetime
"""
This script contains the parsers for the raw json res... | import json
import sys
import datetime
from collections import OrderedDict
if sys.version_info[0] == 2:
from collections import Iterable
else:
from collections.abc import Iterable
from youtube_api.youtube_api_utils import parse_yt_datetime
"""
This script contains the parsers for the raw json responses
from ... | en | 0.453442 | This script contains the parsers for the raw json responses from the API. Use `raw_json` to return the output as-is. Returns the raw json output from the API. Returns the raw json output from the API. Parses and processes raw output and returns video_id, channel_title, channel_id, video_publish_date, video_title, video... | 3.189533 | 3 |
rec/online/datastructer/Embedding.py | nbsps/SilvensnRecSys | 1 | 6628098 | from math import sqrt
from typing import List
class Embedding:
def __init__(self, embVector: List[float]=[]):
self.embVector: List[float] = embVector
def addElem(self, elem: float):
self.embVector.insert(elem)
def getEmbVector(self):
return self.embVector
def calculateSimil... | from math import sqrt
from typing import List
class Embedding:
def __init__(self, embVector: List[float]=[]):
self.embVector: List[float] = embVector
def addElem(self, elem: float):
self.embVector.insert(elem)
def getEmbVector(self):
return self.embVector
def calculateSimil... | none | 1 | 3.878644 | 4 | |
clientes/admin.py | macs03/autoservicio | 0 | 6628099 | <reponame>macs03/autoservicio<gh_stars>0
from django.contrib import admin
from clientes.models import Clientes
# Register your models here.
admin.site.register(Clientes) | from django.contrib import admin
from clientes.models import Clientes
# Register your models here.
admin.site.register(Clientes) | en | 0.968259 | # Register your models here. | 1.312581 | 1 |
src/preprocessing2/preprocess_speakers.py | norikinishida/discourse-parsing | 2 | 6628100 | SPEAKERS = [
"Alex", "Bruce", "Chris", "David", "Elliott", "Fred", "George",
"Henry", "Isaac", "John", "Kim", "Lee", "Mick", "Nicolas",
"Owen", "Patrick", "Richard", "Scott", "Tom"]
def rename_speaker_names(tokens, speaker_name_to_id_uncased):
"""
Parameters
----------
tokens: ... | SPEAKERS = [
"Alex", "Bruce", "Chris", "David", "Elliott", "Fred", "George",
"Henry", "Isaac", "John", "Kim", "Lee", "Mick", "Nicolas",
"Owen", "Patrick", "Richard", "Scott", "Tom"]
def rename_speaker_names(tokens, speaker_name_to_id_uncased):
"""
Parameters
----------
tokens: ... | en | 0.132038 | Parameters ---------- tokens: list[str] speaker_name_to_id_uncased: dict[str, int] Returns ------- list[str] | 3.486684 | 3 |
lambda/command.py | jchrisfarris/minecraft | 3 | 6628101 | <reponame>jchrisfarris/minecraft
import json
import boto3
from botocore.exceptions import ClientError
import sys
import os
import logging
logger = logging.getLogger()
logger.setLevel(getattr(logging, os.getenv('LOG_LEVEL', default='INFO')))
logging.getLogger('botocore').setLevel(logging.WARNING)
logging.getLogger('bot... | import json
import boto3
from botocore.exceptions import ClientError
import sys
import os
import logging
logger = logging.getLogger()
logger.setLevel(getattr(logging, os.getenv('LOG_LEVEL', default='INFO')))
logging.getLogger('botocore').setLevel(logging.WARNING)
logging.getLogger('boto3').setLevel(logging.WARNING)
lo... | en | 0.460876 | # logger.debug("Received event: " + json.dumps(event, sort_keys=True)) # message = json.loads(event['Records'][0]['Sns']['Message']) # TODO Make this an cleaner SSM shutdown command # TODO Make this an cleaner SSM shutdown command ### End Of Function ### | 2.322507 | 2 |
scan_set.py | bransorem/Magic-Scraper | 2 | 6628102 | # scan_set.py
# Scan Gatherer to find out which cards are in a set, and create a list of
# multiverse ids for those cards.
# Lists of ids are stored in ids/FOO.txt, where FOO is the short code for an
# expansion set (see sets.py).
import os
import re
import sys
import urllib
#
import sets
import tools
SEARCH_URL = "h... | # scan_set.py
# Scan Gatherer to find out which cards are in a set, and create a list of
# multiverse ids for those cards.
# Lists of ids are stored in ids/FOO.txt, where FOO is the short code for an
# expansion set (see sets.py).
import os
import re
import sys
import urllib
#
import sets
import tools
SEARCH_URL = "h... | en | 0.910655 | # scan_set.py # Scan Gatherer to find out which cards are in a set, and create a list of # multiverse ids for those cards. # Lists of ids are stored in ids/FOO.txt, where FOO is the short code for an # expansion set (see sets.py). # #URL_RE = re.compile(r"../Card/Details\.aspx\?multiverseid=(\d+)") # only pick up cards... | 3.114717 | 3 |
templating/tag_contributions/src/main/python/jsonteng_contribs/tags/ipv4_subnet_tag.py | vmware/json-template-engine | 21 | 6628103 | <filename>templating/tag_contributions/src/main/python/jsonteng_contribs/tags/ipv4_subnet_tag.py
# Copyright 2019 VMware, Inc.
# SPDX-License-Indentifier: Apache-2.0
import ipaddress
from jsonteng.exception import TemplateEngineException
from jsonteng.tags.tag_base import TagBase
class Ipv4SubnetTag(TagBase):
"... | <filename>templating/tag_contributions/src/main/python/jsonteng_contribs/tags/ipv4_subnet_tag.py
# Copyright 2019 VMware, Inc.
# SPDX-License-Indentifier: Apache-2.0
import ipaddress
from jsonteng.exception import TemplateEngineException
from jsonteng.tags.tag_base import TagBase
class Ipv4SubnetTag(TagBase):
"... | en | 0.533798 | # Copyright 2019 VMware, Inc. # SPDX-License-Indentifier: Apache-2.0 Divide a network into N number of subnets. Return i_th of the subnet. Construct this tag. :param tag_resolver: Tag resolver :type tag_resolver: 'TagResolver' Process this tag. :param tag_tokens: Tag arguments. :type tag... | 2.456422 | 2 |
lstm.py | parismita/Text-Generation-by-LSTM | 0 | 6628104 | <reponame>parismita/Text-Generation-by-LSTM
import numpy,re,keras
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import LSTM
from keras.callbacks import ModelCheckpoint
from keras.utils import np_utils
#load the text file
t= "humanAction.txt"
#t =... | import numpy,re,keras
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import LSTM
from keras.callbacks import ModelCheckpoint
from keras.utils import np_utils
#load the text file
t= "humanAction.txt"
#t = "hello.txt"
text = open(t).read()
#to reduc... | en | 0.717514 | #load the text file #t = "hello.txt" #to reduce the vocabulay lstm has to learn(only read lower case char) #removing special charecters #mapping char to integers #print "Total Patterns: ", n_patterns #training data in format (sample, time step,features) # normalize X #print trainY.shape,trainX.shape # define the LSTM m... | 2.9697 | 3 |
src/python-for-android/recipes/eth-account/__init__.py | homdx/EtherollApp | 0 | 6628105 | <filename>src/python-for-android/recipes/eth-account/__init__.py<gh_stars>0
from pythonforandroid.recipe import PythonRecipe
class EthRlpRecipe(PythonRecipe):
version = '0.2.2'
url = 'https://github.com/ethereum/eth-account/archive/v{version}.tar.gz'
depends = [('python2', 'python3crystax'), 'setuptools']... | <filename>src/python-for-android/recipes/eth-account/__init__.py<gh_stars>0
from pythonforandroid.recipe import PythonRecipe
class EthRlpRecipe(PythonRecipe):
version = '0.2.2'
url = 'https://github.com/ethereum/eth-account/archive/v{version}.tar.gz'
depends = [('python2', 'python3crystax'), 'setuptools']... | none | 1 | 1.77275 | 2 | |
apps/tpch-12.py | A-JM/quokka | 0 | 6628106 | <filename>apps/tpch-12.py
import sys
sys.path.append("/home/ubuntu/quokka/")
import datetime
import time
from quokka_runtime import TaskGraph
from sql import AggExecutor, JoinExecutor
import pandas as pd
import ray
import os
task_graph = TaskGraph()
def batch_func(results):
aggs = []
for df in results:
... | <filename>apps/tpch-12.py
import sys
sys.path.append("/home/ubuntu/quokka/")
import datetime
import time
from quokka_runtime import TaskGraph
from sql import AggExecutor, JoinExecutor
import pandas as pd
import ray
import os
task_graph = TaskGraph()
def batch_func(results):
aggs = []
for df in results:
... | en | 0.265379 | #import pdb;pdb.set_trace() | 2.399288 | 2 |
checkio/Shelter/Texas Referee/texas_referee.py | KenMercusLai/checkio | 39 | 6628107 | RANKS = "23456789TJQKA"
SUITS = "scdh"
from itertools import combinations
def straight_flush(cards_list):
s = straight(cards_list)
f = flush(cards_list)
if s and f:
for i in s:
if i in f:
return [i]
def same_rank(cards_list, num):
result = []
for i in combina... | RANKS = "23456789TJQKA"
SUITS = "scdh"
from itertools import combinations
def straight_flush(cards_list):
s = straight(cards_list)
f = flush(cards_list)
if s and f:
for i in s:
if i in f:
return [i]
def same_rank(cards_list, num):
result = []
for i in combina... | en | 0.745408 | # pragma: no cover # These "asserts" using only for self-checking and not necessary for # auto-testing | 2.925571 | 3 |
src/test2/task2.py | samorojy/spbu_python_course | 0 | 6628108 | <reponame>samorojy/spbu_python_course
import random
import numpy
import numpy as np
from PIL import Image
from numpy.random import uniform
# function is defined in SciPy?
def euclidean(point, data):
return np.sqrt(np.sum((point - data) ** 2, axis=1))
class KMeans:
def __init__(self, n_clusters=2, max_iter=... | import random
import numpy
import numpy as np
from PIL import Image
from numpy.random import uniform
# function is defined in SciPy?
def euclidean(point, data):
return np.sqrt(np.sum((point - data) ** 2, axis=1))
class KMeans:
def __init__(self, n_clusters=2, max_iter=100):
self.n_clusters = n_clus... | en | 0.861527 | # function is defined in SciPy? | 3.261024 | 3 |
alchemicalitp/tutorial_files.py | bigginlab/alchemicalitp | 1 | 6628109 | from pkg_resources import resource_filename
glu_top = resource_filename(__name__, 'data/fep_example/GLU.top')
glh_top = resource_filename(__name__, 'data/fep_example/GLH.top')
glu_crd = resource_filename(__name__, 'data/fep_example/GLU.gro')
glh_crd = resource_filename(__name__, 'data/fep_example/GLH.gro')
mdp_em0 = r... | from pkg_resources import resource_filename
glu_top = resource_filename(__name__, 'data/fep_example/GLU.top')
glh_top = resource_filename(__name__, 'data/fep_example/GLH.top')
glu_crd = resource_filename(__name__, 'data/fep_example/GLU.gro')
glh_crd = resource_filename(__name__, 'data/fep_example/GLH.gro')
mdp_em0 = r... | none | 1 | 1.542878 | 2 | |
problemsets/Codeforces/Python/A137.py | juarezpaulino/coderemite | 0 | 6628110 | <reponame>juarezpaulino/coderemite<gh_stars>0
"""
*
* Author: <NAME>(coderemite)
* Email: <EMAIL>
*
"""
a=input()
x=a[0]
r=j=0
for c in a:
if c!=x or j==5:
x=c;j=0;r+=1
j+=1
print(r+1)
| """
*
* Author: <NAME>(coderemite)
* Email: <EMAIL>
*
"""
a=input()
x=a[0]
r=j=0
for c in a:
if c!=x or j==5:
x=c;j=0;r+=1
j+=1
print(r+1) | en | 0.307447 | * * Author: <NAME>(coderemite) * Email: <EMAIL> * | 3.325597 | 3 |
dijkstra.py | ivandumas/Algoritmos | 0 | 6628111 | <gh_stars>0
from queue import PriorityQueue
metro = ['El Rosario','Instituto del Petroleo','Deportivo 18 de Marzo','<NAME>','La Raza',
'Consulado','Tacuba','Oceania','Guerrero','Garibaldi','Hidalgo','<NAME>', 'Morelos',
'San Lazaro', 'Balderas','Salto del Agua','<NAME>','Candelaria','Tacubaya','Pantit... | from queue import PriorityQueue
metro = ['El Rosario','Instituto del Petroleo','Deportivo 18 de Marzo','<NAME>','La Raza',
'Consulado','Tacuba','Oceania','Guerrero','Garibaldi','Hidalgo','<NAME>', 'Morelos',
'San Lazaro', 'Balderas','Salto del Agua','<NAME>','Candelaria','Tacubaya','Pantitlan',
... | none | 1 | 3.769249 | 4 | |
clevercsv/_optional.py | baldurmen/CleverCSV | 989 | 6628112 | <gh_stars>100-1000
# -*- coding: utf-8 -*-
"""Code for dealing with optional dependencies
The functionality in this file is largely based on similar functionality in the
Pandas library.
Author: <NAME>
Copyright: 2020, The Alan Turing Institute
License: See LICENSE file.
"""
import distutils.version
import importl... | # -*- coding: utf-8 -*-
"""Code for dealing with optional dependencies
The functionality in this file is largely based on similar functionality in the
Pandas library.
Author: <NAME>
Copyright: 2020, The Alan Turing Institute
License: See LICENSE file.
"""
import distutils.version
import importlib
# update this w... | en | 0.711474 | # -*- coding: utf-8 -*- Code for dealing with optional dependencies The functionality in this file is largely based on similar functionality in the Pandas library. Author: <NAME> Copyright: 2020, The Alan Turing Institute License: See LICENSE file. # update this when changing setup.py Import an optional dependency. ... | 3.092571 | 3 |
utils.py | Warvito/Normative-modelling-using-deep-autoencoders | 12 | 6628113 | <reponame>Warvito/Normative-modelling-using-deep-autoencoders
"""Helper functions and constants."""
from pathlib import Path
import warnings
import pandas as pd
import numpy as np
PROJECT_ROOT = Path.cwd()
def cliff_delta(X, Y):
"""Calculate the effect size using the Cliff's delta."""
lx = len(X)
ly = l... | """Helper functions and constants."""
from pathlib import Path
import warnings
import pandas as pd
import numpy as np
PROJECT_ROOT = Path.cwd()
def cliff_delta(X, Y):
"""Calculate the effect size using the Cliff's delta."""
lx = len(X)
ly = len(Y)
mat = np.zeros((lx, ly))
for i in range(0, lx):
... | en | 0.608765 | Helper functions and constants. Calculate the effect size using the Cliff's delta. Load dataset. Load dataset using selected ids. | 2.835362 | 3 |
ftl/ftl_node_benchmark_yaml.py | myelin/GoogleCloudPlatform-runtimes-common | 0 | 6628114 | """A script to generate a cloudbuild yaml."""
import os
import yaml
import argparse
# Add directories for new tests here.
DEP_TESTS = ['small_app', 'medium_app', 'large_app']
APP_SIZE_TESTS = {
'scratch_small': '5',
'scratch_medium': '500',
'scratch_large': '50000'
}
_DATA_DIR = '/workspace/ftl/node/bench... | """A script to generate a cloudbuild yaml."""
import os
import yaml
import argparse
# Add directories for new tests here.
DEP_TESTS = ['small_app', 'medium_app', 'large_app']
APP_SIZE_TESTS = {
'scratch_small': '5',
'scratch_medium': '500',
'scratch_large': '50000'
}
_DATA_DIR = '/workspace/ftl/node/bench... | en | 0.858464 | A script to generate a cloudbuild yaml. # Add directories for new tests here. # We need to chmod in some cases for permissions. # Build the FTL image from source and load it into the daemon. # Build the node builder par file # Generate a set of steps for each test and add them. # Generate a set of steps for each test a... | 3.007129 | 3 |
traffic/data/airspaces/eurofirs.py | RaphaelDELAIR/traffic | 209 | 6628115 | <gh_stars>100-1000
import json
from pathlib import Path
from shapely.geometry import polygon, shape
from ...core.airspace import Airspace, ExtrudedPolygon
with Path(__file__).absolute().with_name("eurofirs.json").open("r") as fh:
fir = json.load(fh)
eurofirs = {
elt["properties"]["IDENT"]: Airspace(
... | import json
from pathlib import Path
from shapely.geometry import polygon, shape
from ...core.airspace import Airspace, ExtrudedPolygon
with Path(__file__).absolute().with_name("eurofirs.json").open("r") as fh:
fir = json.load(fh)
eurofirs = {
elt["properties"]["IDENT"]: Airspace(
name=elt["properti... | en | 0.840733 | # Remove " FIR" at the end | 2.712085 | 3 |
api/src/service/util/ImageService.py | SamuelJansen/idealizar-whats-app-manager-api | 0 | 6628116 | from io import BytesIO
import base64
from PIL import Image
from python_helper import Constant as c
from python_framework import Service, ServiceMethod
from dto import QRCodeDto
@Service()
class ImageService :
@ServiceMethod(requestClass=[str, str])
def save(self, imageAsBase64, pathWithNameAndExtension) :
... | from io import BytesIO
import base64
from PIL import Image
from python_helper import Constant as c
from python_framework import Service, ServiceMethod
from dto import QRCodeDto
@Service()
class ImageService :
@ServiceMethod(requestClass=[str, str])
def save(self, imageAsBase64, pathWithNameAndExtension) :
... | none | 1 | 2.608981 | 3 | |
scripts/restore_db.py | angry-tony/ceph-lcm-decapod | 41 | 6628117 | <reponame>angry-tony/ceph-lcm-decapod
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Mirantis 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... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016 Mirantis 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 r... | en | 0.81509 | #!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright (c) 2016 Mirantis 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 r... | 2.301531 | 2 |
whdenovo/validate.py | shilpagarg/WHdenovo | 45 | 6628118 | <reponame>shilpagarg/WHdenovo
'''
Validate partitioning result for either simulated data or real data
'''
import sys, os
import re
import subprocess
from subprocess import PIPE
from . import validate_simulate
from . import validate_real
def valSim(path, pacbioFA):
whdenovoPath = '/'.join(sys.path[0].spl... | '''
Validate partitioning result for either simulated data or real data
'''
import sys, os
import re
import subprocess
from subprocess import PIPE
from . import validate_simulate
from . import validate_real
def valSim(path, pacbioFA):
whdenovoPath = '/'.join(sys.path[0].split('/')[:-1])
fileList = ... | en | 0.354997 | Validate partitioning result for either simulated data or real data #subprocess.call('python %s/src/validate_simulate.py %s/all.allreads'%(whdenovoPath, path), shell = True) #subprocess.call("cat %s/bc1/all.allreads | cut -d' ' -f1 | sort -u | uniq > %s/bc1/all.tmpreads"%(path, path), shell = True) #subprocess.call('py... | 2.464684 | 2 |
AMR-Policies-Other/train_Maze.py | irom-lab/AMR-Policies | 2 | 6628119 | import Robot
import Environment
from Networks import *
import Train
import Task
import ray
import warnings
import torch as pt
# Learning Parameters **************************************************************************************************
num_epochs = 3000
max_m_dim = 300 # at the memory layer
batch_size = 25... | import Robot
import Environment
from Networks import *
import Train
import Task
import ray
import warnings
import torch as pt
# Learning Parameters **************************************************************************************************
num_epochs = 3000
max_m_dim = 300 # at the memory layer
batch_size = 25... | en | 0.388389 | # Learning Parameters ************************************************************************************************** # at the memory layer # actions # observations (RGB-D array size 17 + prev action) # = horizon if time-varying # for loading checkpoint models # Simulation Parameters ********************************... | 2.263967 | 2 |
ngnotifier/example.settings.py | Dubrzr/NG-Notifier | 14 | 6628120 | <filename>ngnotifier/example.settings.py
"""
Django settings for ng-notifier project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
# Quick-start development setting... | <filename>ngnotifier/example.settings.py
"""
Django settings for ng-notifier project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
# Quick-start development setting... | en | 0.527066 | Django settings for ng-notifier project. For more information on this file, see https://docs.djangoproject.com/en/1.7/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.7/ref/settings/ # Quick-start development settings - unsuitable for production # See https://d... | 1.790553 | 2 |
py64/memory.py | jesseward/py64 | 5 | 6628121 | <reponame>jesseward/py64
#!/usr/bin/env python2
# I, <NAME>, hereby place this file into the public domain.
class Memory(object):
def __init__(self):
self.B_can_write = True # in the instance because of ShedSkin
# def read_memory(self, address, size = 1):
# return 0xFF
#
# def write_memory(se... | #!/usr/bin/env python2
# I, <NAME>, hereby place this file into the public domain.
class Memory(object):
def __init__(self):
self.B_can_write = True # in the instance because of ShedSkin
# def read_memory(self, address, size = 1):
# return 0xFF
#
# def write_memory(self, address, value, size)... | en | 0.718702 | #!/usr/bin/env python2 # I, <NAME>, hereby place this file into the public domain. # in the instance because of ShedSkin # def read_memory(self, address, size = 1): # return 0xFF # # def write_memory(self, address, value, size): # pass | 2.711086 | 3 |
python/UnfoldingProducer_cfi.py | jjacob/NTupleProduction | 1 | 6628122 | import FWCore.ParameterSet.Config as cms
unfoldingProducerElectron = cms.EDProducer("UnfoldingProducer",
pu_weight_input=cms.InputTag('eventWeightPU'),
b_tag_weight_input=cms.InputTag('eventWeightBtag'),
storePDFWeights=cms.bool(True),
PDFWeightsInputTag=cms.InputTag('pdfWeights','cteq66'),
leptonW... | import FWCore.ParameterSet.Config as cms
unfoldingProducerElectron = cms.EDProducer("UnfoldingProducer",
pu_weight_input=cms.InputTag('eventWeightPU'),
b_tag_weight_input=cms.InputTag('eventWeightBtag'),
storePDFWeights=cms.bool(True),
PDFWeightsInputTag=cms.InputTag('pdfWeights','cteq66'),
leptonW... | none | 1 | 1.294216 | 1 | |
src/azure-cli/azure/cli/command_modules/rdbms/flexible_server_custom_mysql.py | rheaparekh/azure-cli | 1 | 6628123 | <filename>src/azure-cli/azure/cli/command_modules/rdbms/flexible_server_custom_mysql.py
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for lic... | <filename>src/azure-cli/azure/cli/command_modules/rdbms/flexible_server_custom_mysql.py
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for lic... | en | 0.616691 | # -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------... | 1.682834 | 2 |
nfv/nfv-plugins/nfv_plugins/nfvi_plugins/clients/__init__.py | SidneyAn/nfv | 2 | 6628124 | <filename>nfv/nfv-plugins/nfv_plugins/nfvi_plugins/clients/__init__.py
#
# Copyright (c) 2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
| <filename>nfv/nfv-plugins/nfv_plugins/nfvi_plugins/clients/__init__.py
#
# Copyright (c) 2018 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
| en | 0.450774 | # # Copyright (c) 2018 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # | 1.102799 | 1 |
Plugins/Aspose-Slides-Java-for-Jython/asposeslides/WorkingWithSlidesInPresentation/CreatingSvg.py | Aspose/Aspose.Slides-for-Java | 1 | 6628125 | from asposeslides import Settings
from com.aspose.slides import Presentation
from com.aspose.slides import SaveFormat
from java.io import FileOutputStream
class CreatingSvg:
def __init__(self):
dataDir = Settings.dataDir + 'WorkingWithSlidesInPresentation/CreatingSvg/'
## In... | from asposeslides import Settings
from com.aspose.slides import Presentation
from com.aspose.slides import SaveFormat
from java.io import FileOutputStream
class CreatingSvg:
def __init__(self):
dataDir = Settings.dataDir + 'WorkingWithSlidesInPresentation/CreatingSvg/'
## In... | en | 0.777831 | ## Instantiate Presentation class that represents the presentation file # Getting last slide index #Iterating through every presentation slide and generating SVG image # Accessing Slides # Getting and saving the slide SVG image #{i}.svg")) | 3.078543 | 3 |
ppgan/metrics/inception.py | lyl120117/PaddleGAN | 6,852 | 6628126 | #Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#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 l... | #Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
#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 l... | en | 0.794403 | #Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # #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 l... | 2.263951 | 2 |
on_board_led/main.py | ushiboy/picopico | 0 | 6628127 | import time
from machine import Pin
led = Pin(25, Pin.OUT)
while True:
led.toggle()
time.sleep(1)
| import time
from machine import Pin
led = Pin(25, Pin.OUT)
while True:
led.toggle()
time.sleep(1)
| none | 1 | 2.819053 | 3 | |
contrib/tools/cython/Cython/Utils.py | SitdikovRustam/CatBoost | 1 | 6628128 | #
# Cython -- Things that don't belong
# anywhere else in particular
#
from __future__ import absolute_import
try:
from __builtin__ import basestring
except ImportError:
basestring = str
import os
import sys
import re
import io
import codecs
from contextlib import contextmanager
modification_ti... | #
# Cython -- Things that don't belong
# anywhere else in particular
#
from __future__ import absolute_import
try:
from __builtin__ import basestring
except ImportError:
basestring = str
import os
import sys
import re
import io
import codecs
from contextlib import contextmanager
modification_ti... | en | 0.85522 | # # Cython -- Things that don't belong # anywhere else in particular # # Make sure to create a new file here so we can # safely hard link the output files. # we use the ISO-8859-1 encoding here because we only write pure # ASCII strings or (e.g. for file names) byte encoded strings as # Unicode, so we need... | 2.350389 | 2 |
test/integration/ggrc/access_control/acl_propagation/test_one_rank_technical_leads.py | sfarbotka/ggrc-core | 0 | 6628129 | <filename>test/integration/ggrc/access_control/acl_propagation/test_one_rank_technical_leads.py
# Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Access Control roles Technical Leads propagation"""
import ddt
from ggrc.models import all_models
fro... | <filename>test/integration/ggrc/access_control/acl_propagation/test_one_rank_technical_leads.py
# Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Test Access Control roles Technical Leads propagation"""
import ddt
from ggrc.models import all_models
fro... | en | 0.823863 | # Copyright (C) 2019 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> Test Access Control roles Technical Leads propagation Test Technical Leads role permissions propagation This tests are different from other ACR test in acr_propagation package because we map document to ... | 2.063493 | 2 |
python/day03/binary_diagnostic.py | aesdeef/advent-of-code-2021 | 2 | 6628130 | from collections import Counter
from typing import Callable, Iterable
INPUT_FILE = "../../input/03.txt"
def parse_input() -> list[str]:
"""
Parses the data and returns a list of binary entries
"""
with open(INPUT_FILE, "r") as f:
return [line.strip() for line in f]
def more_common_bit(bits:... | from collections import Counter
from typing import Callable, Iterable
INPUT_FILE = "../../input/03.txt"
def parse_input() -> list[str]:
"""
Parses the data and returns a list of binary entries
"""
with open(INPUT_FILE, "r") as f:
return [line.strip() for line in f]
def more_common_bit(bits:... | en | 0.935407 | Parses the data and returns a list of binary entries Returns the more common bit or "1" if both are equally common Returns the less common bit or "0" if both are equally common Parses two strings representing binary numbers and multiplies them Finds the solution to part 1 (the power consumption of the submarine) Finds ... | 3.847565 | 4 |
shopyo/modules/box__bizhelp/page/forms.py | Bnseamster/shopyo | 23 | 6628131 | from flask_wtf import FlaskForm
# from wtforms.validators import Length
# from wtforms.fields.html5 import EmailField
from wtforms import StringField
from wtforms import TextAreaField
from wtforms.validators import DataRequired
from shopyoapi.validators import verify_slug
class PageForm(FlaskForm):
content = T... | from flask_wtf import FlaskForm
# from wtforms.validators import Length
# from wtforms.fields.html5 import EmailField
from wtforms import StringField
from wtforms import TextAreaField
from wtforms.validators import DataRequired
from shopyoapi.validators import verify_slug
class PageForm(FlaskForm):
content = T... | en | 0.619884 | # from wtforms.validators import Length # from wtforms.fields.html5 import EmailField | 2.195665 | 2 |
src/evaluate.py | jadeleiyu/noun2verb | 0 | 6628132 | <gh_stars>0
from pyro.infer.predictive import Predictive
from data_prep import prepare_data
def evaluate(generator, eval_data_loader, vocab, sample_size, batch_size):
predict_fn = Predictive(generator.model, generator.guide, num_samples=sample_size, return_sites=('v', 'r', 'z'))
num_batches = len(eval_data_... | from pyro.infer.predictive import Predictive
from data_prep import prepare_data
def evaluate(generator, eval_data_loader, vocab, sample_size, batch_size):
predict_fn = Predictive(generator.model, generator.guide, num_samples=sample_size, return_sites=('v', 'r', 'z'))
num_batches = len(eval_data_loader) / ba... | en | 0.769685 | # there're 'sample_size' sampled predicates and relations from the guide posterior | 2.221261 | 2 |
schedule_booking/apps.py | matteli/pop | 0 | 6628133 | from django.apps import AppConfig
class ScheduleBookingConfig(AppConfig):
name = 'schedule_booking'
| from django.apps import AppConfig
class ScheduleBookingConfig(AppConfig):
name = 'schedule_booking'
| none | 1 | 1.167336 | 1 | |
sample_app/boards/features/steps/board_steps.py | CCE-IT/cce-toolkit | 8 | 6628134 | <reponame>CCE-IT/cce-toolkit
from toolkit.helpers.bdd.shared_steps import * | from toolkit.helpers.bdd.shared_steps import * | none | 1 | 1.020288 | 1 | |
3IntelligentOptimization/TSP_SA.py | intLyc/Undergraduate-Courses | 0 | 6628135 | <reponame>intLyc/Undergraduate-Courses
"""
@author: zll
description：
模拟退火算法求解TSP
"""
import random
import time
import math
T0 = 50000.0 # 初始温度
T_min = 1e-8
q = 0.98 # 退火系数
K = 1 # 公式中的常数K
L = 1000 # 每个温度时的迭代次数，即链长
N = 52 # 城市数量
# 柏林52城算例
city = [
[565, 575], [25, 185], [345, 750], [945,... | """
@author: zll
description：
模拟退火算法求解TSP
"""
import random
import time
import math
T0 = 50000.0 # 初始温度
T_min = 1e-8
q = 0.98 # 退火系数
K = 1 # 公式中的常数K
L = 1000 # 每个温度时的迭代次数，即链长
N = 52 # 城市数量
# 柏林52城算例
city = [
[565, 575], [25, 185], [345, 750], [945, 685], [845, 655],
[880, 660], [25... | zh | 0.923902 | @author: zll
description：
模拟退火算法求解TSP # 初始温度 # 退火系数 # 公式中的常数K # 每个温度时的迭代次数，即链长 # 城市数量 # 柏林52城算例 # 全局最优解 | 2.468331 | 2 |
pytype/overlays/classgen.py | OrBin/pytype | 0 | 6628136 | <reponame>OrBin/pytype<filename>pytype/overlays/classgen.py
"""Base support for generating classes from data declarations.
Contains common functionality used by dataclasses, attrs and namedtuples.
"""
import abc
import collections
import logging
from pytype import abstract
from pytype import abstract_utils
from pyty... | """Base support for generating classes from data declarations.
Contains common functionality used by dataclasses, attrs and namedtuples.
"""
import abc
import collections
import logging
from pytype import abstract
from pytype import abstract_utils
from pytype import mixin
from pytype import overlay_utils
from pytype... | en | 0.828614 | Base support for generating classes from data declarations. Contains common functionality used by dataclasses, attrs and namedtuples. # type alias for convenience Possible orderings for Decorator.get_class_locals. # Order by each variable's first annotation. For example, for # class Foo: # x: int # y: str # ... | 3.029289 | 3 |
neutron_lib/tests/unit/db/test_model_query.py | rolaya/neutron-lib | 0 | 6628137 | <filename>neutron_lib/tests/unit/db/test_model_query.py
# 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... | <filename>neutron_lib/tests/unit/db/test_model_query.py
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | en | 0.840918 | # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # d... | 2.090712 | 2 |
go_and_do_people_info/serializers.py | capitalChurch/GoDoBackend | 1 | 6628138 | <filename>go_and_do_people_info/serializers.py<gh_stars>1-10
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group, User
from go_and_do_people_info.models import (Country, Event, Ministry, News,
Prayer, Ticket, UserProfile,
... | <filename>go_and_do_people_info/serializers.py<gh_stars>1-10
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group, User
from go_and_do_people_info.models import (Country, Event, Ministry, News,
Prayer, Ticket, UserProfile,
... | none | 1 | 2.156624 | 2 | |
main.py | ranking-agent/aragorn | 1 | 6628139 | #!/usr/bin/env python
# from gunicorn.app.wsgiapp import WSGIApplication
#
# # --bind 0.0.0.0:8080 -w 1 -k uvicorn.workers.UvicornWorker -t 600 src.server:APP
# app = WSGIApplication()
#
# app.run()
import uvicorn
class App:
...
app = App()
if __name__ == "__main__":
uvicorn.run("src.server:APP", host="127.... | #!/usr/bin/env python
# from gunicorn.app.wsgiapp import WSGIApplication
#
# # --bind 0.0.0.0:8080 -w 1 -k uvicorn.workers.UvicornWorker -t 600 src.server:APP
# app = WSGIApplication()
#
# app.run()
import uvicorn
class App:
...
app = App()
if __name__ == "__main__":
uvicorn.run("src.server:APP", host="127.... | en | 0.22995 | #!/usr/bin/env python # from gunicorn.app.wsgiapp import WSGIApplication # # # --bind 0.0.0.0:8080 -w 1 -k uvicorn.workers.UvicornWorker -t 600 src.server:APP # app = WSGIApplication() # # app.run() | 2.18293 | 2 |
explore_page.py | Oreoluwa1234/Salary-Prediction-Project | 0 | 6628140 | import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
def shorten_categories(categories,cutoff):
categorical_map={}
for i in range(len(categories)):
if categories.values[i]>=cutoff:
categorical_map[categories.index[i]] =categories.index[i]
else:
... | import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
def shorten_categories(categories,cutoff):
categorical_map={}
for i in range(len(categories)):
if categories.values[i]>=cutoff:
categorical_map[categories.index[i]] =categories.index[i]
else:
... | en | 0.813385 | ### Stack Overflow Developer Survey 2022
# #Equal aspect ratio ensures that pie is drawn as a circle #### Number of Data from different countries #### Mean Salary based on country #### Mean Salary Based on Experience | 3.391448 | 3 |
geomesa-spark/geomesa_pyspark/src/main/python/geomesa_pyspark/types.py | khobbs-ccri/geomesa | 1,197 | 6628141 | <filename>geomesa-spark/geomesa_pyspark/src/main/python/geomesa_pyspark/types.py
from pyspark.sql.types import UserDefinedType, StructField, BinaryType, StructType
from shapely import wkb
from shapely.geometry import LineString, MultiLineString, MultiPoint, MultiPolygon, Point, Polygon
from shapely.geometry.base import... | <filename>geomesa-spark/geomesa_pyspark/src/main/python/geomesa_pyspark/types.py
from pyspark.sql.types import UserDefinedType, StructField, BinaryType, StructType
from shapely import wkb
from shapely.geometry import LineString, MultiLineString, MultiPoint, MultiPolygon, Point, Polygon
from shapely.geometry.base import... | en | 0.630305 | # bytearray(...) needed for Python 2 compat. # bytes(...) needed for Python 2 compat. # inject some PySpark constructs into Shapely's geometry types | 2.311213 | 2 |
packages/fetchai/protocols/tac/serialization.py | valory-xyz/agents-aea | 28 | 6628142 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2022 fetchai
#
# 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
#
#... | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2022 fetchai
#
# 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
#
#... | en | 0.633095 | # -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2022 fetchai # # 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 # #... | 1.555065 | 2 |
Assignment2(SVM)/SVM.py | jack17529/MLPR | 0 | 6628143 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.metrics import accuracy_score
from matplotlib import pyplot as plt
#from sklea... | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.metrics import accuracy_score
from matplotlib import pyplot as plt
#from sklea... | en | 0.567882 | # -*- coding: utf-8 -*- Spyder Editor
This is a temporary script file. #from sklearn import cross_validation # get the data #train test split. # rbf kernel. # poly kernel # sigmoid kernel #plotting graph | 2.830404 | 3 |
test/test_whwreader.py | mtwharmby/whweather-reader | 0 | 6628144 | import pytest
import whwreader.whwreader as whwreader
from whwreader.whwreader import Reading
def test_transform():
#Preamble
whwreader.__sensor_time_offset['boris'] = 0
whwreader.__sensor_time_offset['charles'] = 1546804623.6360931
sensor_reading = "name=boris::time=2134457::temp=25.5::humid=56.8"
... | import pytest
import whwreader.whwreader as whwreader
from whwreader.whwreader import Reading
def test_transform():
#Preamble
whwreader.__sensor_time_offset['boris'] = 0
whwreader.__sensor_time_offset['charles'] = 1546804623.6360931
sensor_reading = "name=boris::time=2134457::temp=25.5::humid=56.8"
... | en | 0.656804 | #Preamble #expected = Reading('boris', 2134.457, readings={'temp': 25.5, 'humid': 56.8}, sensor_unknown=False) #Now test against an offset time. N.B. Expecting time in ms | 2.411141 | 2 |
SimPEG/potential_fields/__init__.py | Prithwijit-Chak/simpeg | 358 | 6628145 | from __future__ import absolute_import
from . import magnetics
from . import gravity
from .base import get_dist_wgt
| from __future__ import absolute_import
from . import magnetics
from . import gravity
from .base import get_dist_wgt
| none | 1 | 1.104267 | 1 | |
tests/test_builders.py | martinRenou/robotkernel | 56 | 6628146 | # -*- coding: utf-8 -*-
from robotkernel.builders import build_suite
TEST_SUITE = """\
*** Settings ***
Library Collections
*** Keywords ***
Head
[Arguments] ${list}
${value}= Get from list ${list} 0
[Return] ${value}
*** Tasks ***
Get head
${array}= Create list 1 2 3 4 5
${head}=... | # -*- coding: utf-8 -*-
from robotkernel.builders import build_suite
TEST_SUITE = """\
*** Settings ***
Library Collections
*** Keywords ***
Head
[Arguments] ${list}
${value}= Get from list ${list} 0
[Return] ${value}
*** Tasks ***
Get head
${array}= Create list 1 2 3 4 5
${head}=... | en | 0.589127 | # -*- coding: utf-8 -*- \ *** Settings *** Library Collections *** Keywords *** Head [Arguments] ${list} ${value}= Get from list ${list} 0 [Return] ${value} *** Tasks *** Get head ${array}= Create list 1 2 3 4 5 ${head}= Head ${array} Should be equal ${head} 1 | 2.486232 | 2 |
masterfile/_metadata.py | uwmadison-chm/masterfile | 0 | 6628147 | # -*- coding: utf-8 -*-
# flake8: noqa: E501
from __future__ import absolute_import, unicode_literals
author = '<NAME>'
email = '<EMAIL>'
version = '0.6.0'
license = 'MIT license'
copyright = 'Copyright (c) 2020 Board of Regents of the University of Wisconsin System'
url = 'https://github.com/uwmadison-chm/masterfile'... | # -*- coding: utf-8 -*-
# flake8: noqa: E501
from __future__ import absolute_import, unicode_literals
author = '<NAME>'
email = '<EMAIL>'
version = '0.6.0'
license = 'MIT license'
copyright = 'Copyright (c) 2020 Board of Regents of the University of Wisconsin System'
url = 'https://github.com/uwmadison-chm/masterfile'... | en | 0.53967 | # -*- coding: utf-8 -*- # flake8: noqa: E501 | 1.028662 | 1 |
tests/unit/test_batch_study.py | manjunathnilugal/PyBaMM | 330 | 6628148 | """
Tests for the batch_study.py
"""
import os
import pybamm
import unittest
spm = pybamm.lithium_ion.SPM()
spm_uniform = pybamm.lithium_ion.SPM({"particle": "uniform profile"})
casadi_safe = pybamm.CasadiSolver(mode="safe")
casadi_fast = pybamm.CasadiSolver(mode="fast")
exp1 = pybamm.Experiment([("Discharge at C/5 fo... | """
Tests for the batch_study.py
"""
import os
import pybamm
import unittest
spm = pybamm.lithium_ion.SPM()
spm_uniform = pybamm.lithium_ion.SPM({"particle": "uniform profile"})
casadi_safe = pybamm.CasadiSolver(mode="safe")
casadi_fast = pybamm.CasadiSolver(mode="fast")
exp1 = pybamm.Experiment([("Discharge at C/5 fo... | en | 0.818742 | Tests for the batch_study.py # Tests for exceptions # Tests for None when only models are given with permutations=False # Tests for None when only models are given with permutations=True # Tests for BatchStudy when permutations=False # Tests for BatchStudy when permutations=True # create a GIF before calling the plot m... | 2.427339 | 2 |
tardis/montecarlo/base.py | nileshpatra/tardis | 0 | 6628149 | import os
import logging
import warnings
from astropy import units as u
from tardis import constants as const
from scipy.special import zeta
from tardis.montecarlo.spectrum import TARDISSpectrum
from tardis.util.base import quantity_linspace
from tardis.io.util import HDFWriterMixin
from tardis.montecarlo import mon... | import os
import logging
import warnings
from astropy import units as u
from tardis import constants as const
from scipy.special import zeta
from tardis.montecarlo.spectrum import TARDISSpectrum
from tardis.util.base import quantity_linspace
from tardis.io.util import HDFWriterMixin
from tardis.montecarlo import mon... | en | 0.529193 | This class is designed as an interface between the Python part and the montecarlo C-part Initialize the output arrays of the montecarlo simulation. Parameters ---------- model: ~Radial1DModel # Estimators Generate the cgs like geometry arrays for the montecarlo part Parameters ... | 1.916362 | 2 |
l10n_pt_hr_salary/utils/utils.py | saguas/l10n_pt_hr_salary | 0 | 6628150 | <reponame>saguas/l10n_pt_hr_salary
# -*- coding: utf-8 -*-
import frappe
"""
@frappe.whitelist()
def calculate_earnings_description_old(earn_docs):
iliquid = 0
tributavel = 0
earn_docs = json.loads(earn_docs)
earnings_description = frappe._dict({
"tributavel": [],
"totals": [],
})
for doc in earn_docs:
... | # -*- coding: utf-8 -*-
import frappe
"""
@frappe.whitelist()
def calculate_earnings_description_old(earn_docs):
iliquid = 0
tributavel = 0
earn_docs = json.loads(earn_docs)
earnings_description = frappe._dict({
"tributavel": [],
"totals": [],
})
for doc in earn_docs:
doc = frappe._dict(doc)
e_type =... | en | 0.245938 | # -*- coding: utf-8 -*- @frappe.whitelist() def calculate_earnings_description_old(earn_docs): iliquid = 0 tributavel = 0 earn_docs = json.loads(earn_docs) earnings_description = frappe._dict({ "tributavel": [], "totals": [], }) for doc in earn_docs: doc = frappe._dict(doc) e_type = frappe.utils.encode(... | 2.187712 | 2 |