code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import numpy as np
import math
from typing import List
def image2tiles(im: np.ndarray, h: int, w: int):
"""Transforms an image to a list of tiles
Parameters
----------
im : numpy array
Image
h : int
Height of the tiles
w : int
Width of the tiles
Returns
-----... | cv/image_processing.py | import numpy as np
import math
from typing import List
def image2tiles(im: np.ndarray, h: int, w: int):
"""Transforms an image to a list of tiles
Parameters
----------
im : numpy array
Image
h : int
Height of the tiles
w : int
Width of the tiles
Returns
-----... | 0.899892 | 0.727104 |
from typing import List
import torch
import torch.hub
import torchvision as tv
class AlgaeSegmentationToClassification(torch.nn.Module):
def __init__(self, chip_size: int = 32):
super().__init__()
self.pool = torch.nn.AdaptiveAvgPool2d(output_size=1)
self.conv2d = torch.nn.Conv2d(in_chann... | algae.py | from typing import List
import torch
import torch.hub
import torchvision as tv
class AlgaeSegmentationToClassification(torch.nn.Module):
def __init__(self, chip_size: int = 32):
super().__init__()
self.pool = torch.nn.AdaptiveAvgPool2d(output_size=1)
self.conv2d = torch.nn.Conv2d(in_chann... | 0.931533 | 0.357147 |
import pytest
import numpy as np
from cobaya.yaml import yaml_load
from cobaya.model import get_model
import os
import pdb
def get_demo_xcorr_model(theory):
if theory == "camb":
info_yaml = r"""
likelihood:
soliket.XcorrLikelihood:
stop_at_error: True
... | soliket/tests/test_xcorr.py |
import pytest
import numpy as np
from cobaya.yaml import yaml_load
from cobaya.model import get_model
import os
import pdb
def get_demo_xcorr_model(theory):
if theory == "camb":
info_yaml = r"""
likelihood:
soliket.XcorrLikelihood:
stop_at_error: True
... | 0.660282 | 0.341994 |
import pytest
from insanic import Insanic, status, __version__
from insanic.conf import settings
from insanic.loading import get_service
from insanic.services.registry import registry
def test_view_invalid_method():
app_name = "test"
app = Insanic(app_name)
request, response = app.test_client.get(f"/{a... | tests/test_monitor.py | import pytest
from insanic import Insanic, status, __version__
from insanic.conf import settings
from insanic.loading import get_service
from insanic.services.registry import registry
def test_view_invalid_method():
app_name = "test"
app = Insanic(app_name)
request, response = app.test_client.get(f"/{a... | 0.577614 | 0.448245 |
import fileinput
from collections import defaultdict
from typing import Callable, DefaultDict, Dict, List, Optional, TypeVar, Union
import numpy as np
from sspipe import p, px # type: ignore
T = TypeVar("T")
def main(input_path: Optional[str] = None):
"""
>>> main('../3.in')
852500
1007985
"""
... | 2021/Python/3.py | import fileinput
from collections import defaultdict
from typing import Callable, DefaultDict, Dict, List, Optional, TypeVar, Union
import numpy as np
from sspipe import p, px # type: ignore
T = TypeVar("T")
def main(input_path: Optional[str] = None):
"""
>>> main('../3.in')
852500
1007985
"""
... | 0.846117 | 0.563918 |
from __future__ import unicode_literals
from django.contrib.admin.views.decorators import staff_member_required, user_passes_test
from django.http import HttpResponseRedirect, JsonResponse
from django.shortcuts import get_object_or_404, render, redirect
from django.urls import reverse
from django.utils.http import ur... | isiscb/curation/bulk_views/citation_views.py | from __future__ import unicode_literals
from django.contrib.admin.views.decorators import staff_member_required, user_passes_test
from django.http import HttpResponseRedirect, JsonResponse
from django.shortcuts import get_object_or_404, render, redirect
from django.urls import reverse
from django.utils.http import ur... | 0.568655 | 0.063251 |
import os
import sys
import tempfile
import time
from multiprocessing import Process
import mitzasql.constants as const
test_sessions_file = os.path.join(tempfile.gettempdir(),
'mitzasql-ui-test-sessions' + str(time.time()) + '.ini')
def get_macro_path(name):
macro_path = os.path.dirname(os.path.realpath... | tests/macros/run.py | import os
import sys
import tempfile
import time
from multiprocessing import Process
import mitzasql.constants as const
test_sessions_file = os.path.join(tempfile.gettempdir(),
'mitzasql-ui-test-sessions' + str(time.time()) + '.ini')
def get_macro_path(name):
macro_path = os.path.dirname(os.path.realpath... | 0.180431 | 0.102305 |
import json
import logging
import traceback
from threading import Thread
from lcm.pub.database.models import NfInstModel
from lcm.pub.exceptions import NFLCMException
from lcm.pub.exceptions import NFLCMExceptionConflict
from lcm.pub.msapi.gvnfmdriver import prepare_notification_data
from lcm.pub.msapi.gvnfmdriver im... | lcm/lcm/nf/biz/instantiate_vnf.py |
import json
import logging
import traceback
from threading import Thread
from lcm.pub.database.models import NfInstModel
from lcm.pub.exceptions import NFLCMException
from lcm.pub.exceptions import NFLCMExceptionConflict
from lcm.pub.msapi.gvnfmdriver import prepare_notification_data
from lcm.pub.msapi.gvnfmdriver im... | 0.322633 | 0.054525 |
from mahjong.hand_calculating.hand import HandCalculator
from mahjong.meld import Meld
from mahjong.hand_calculating.hand_config import HandConfig, OptionalRules
from mahjong.tile import TilesConverter as tc
from mahjong.utils import is_chi, is_pon, is_honor
from enum import IntEnum
MAX_TILE_NUM = 4 * 4 + 2
MIN_TILE_N... | server/tile_score.py | from mahjong.hand_calculating.hand import HandCalculator
from mahjong.meld import Meld
from mahjong.hand_calculating.hand_config import HandConfig, OptionalRules
from mahjong.tile import TilesConverter as tc
from mahjong.utils import is_chi, is_pon, is_honor
from enum import IntEnum
MAX_TILE_NUM = 4 * 4 + 2
MIN_TILE_N... | 0.642545 | 0.322433 |
import os
import sys
import dj_database_url
from decouple import Csv, config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
ROOT = os.path.dirname(os.path.join(BASE_DIR, '..'))
# Quick-start development settings - unsuitable for producti... | {{ cookiecutter.project_name }}/{{ cookiecutter.project_name }}/settings.py | import os
import sys
import dj_database_url
from decouple import Csv, config
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
ROOT = os.path.dirname(os.path.join(BASE_DIR, '..'))
# Quick-start development settings - unsuitable for producti... | 0.403332 | 0.054299 |
import sys
import os
import configparser
import argparse
# Проверяет, что путь соответствует фильтрам
def is_ignored(filename):
for ignore_dir in ignore_dirs:
if filename.startswith(ignore_dir):
return True
_, cur_ext = os.path.splitext(filename)
return cur_ext not in extensions
... | deponizator.py | import sys
import os
import configparser
import argparse
# Проверяет, что путь соответствует фильтрам
def is_ignored(filename):
for ignore_dir in ignore_dirs:
if filename.startswith(ignore_dir):
return True
_, cur_ext = os.path.splitext(filename)
return cur_ext not in extensions
... | 0.121738 | 0.150091 |
from flask import Flask, render_template, request, jsonify
import os
import requests
import json
import datetime
import time
import glob
import json
app = Flask(__name__)
UPLOAD_PATH = 'static/uploads'
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
UPLOAD_FOLDER = os.path.join(APP_ROOT, UPLOAD_PATH)
TEMP_FOLDER... | flask-dropzonejs_copy.py | from flask import Flask, render_template, request, jsonify
import os
import requests
import json
import datetime
import time
import glob
import json
app = Flask(__name__)
UPLOAD_PATH = 'static/uploads'
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
UPLOAD_FOLDER = os.path.join(APP_ROOT, UPLOAD_PATH)
TEMP_FOLDER... | 0.152852 | 0.057098 |
import os
import string
import random
import shutil
import numpy
import dask.array as dsarray
import pyarrow
import zarr
import cbox.lib.boost as cbox
class Data(cbox.create.Data):
"""Default class to store data"""
type_ = "default"
def __init__(self, **attributes):
"""Initialize the class obj... | bubblebox/library/create/_data.py |
import os
import string
import random
import shutil
import numpy
import dask.array as dsarray
import pyarrow
import zarr
import cbox.lib.boost as cbox
class Data(cbox.create.Data):
"""Default class to store data"""
type_ = "default"
def __init__(self, **attributes):
"""Initialize the class obj... | 0.559049 | 0.278305 |
import glob
import logging
import os
import optparse
import sys
# logging config
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s: %(message)s [%(filename)s:%(funcName)s]')
from lxml import etree as et
from ioc_writer import ioc_api, xmlutils
class IOCParseError(Exception):
pass
cl... | examples/10_to_11_upgrade/openioc_10_to_11.py |
import glob
import logging
import os
import optparse
import sys
# logging config
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(levelname)s: %(message)s [%(filename)s:%(funcName)s]')
from lxml import etree as et
from ioc_writer import ioc_api, xmlutils
class IOCParseError(Exception):
pass
cl... | 0.199581 | 0.099252 |
from django.test import TestCase
from authorization.views import LoginView, LoginRefreshView, RegisterView
class TestRegisterView(TestCase):
def setUp(self):
self.view = RegisterView()
def test_queryset_belongs_to_user_model(self):
self.assertEqual("User", self.view.queryset.model.__name__)
... | app/authorization/tests/unit/views_tests.py | from django.test import TestCase
from authorization.views import LoginView, LoginRefreshView, RegisterView
class TestRegisterView(TestCase):
def setUp(self):
self.view = RegisterView()
def test_queryset_belongs_to_user_model(self):
self.assertEqual("User", self.view.queryset.model.__name__)
... | 0.570212 | 0.278833 |
# pylint: disable=W0223
"""DCASGD optimizer."""
from __future__ import absolute_import
from ..ndarray import (zeros, clip, square)
from .optimizer import Optimizer, register
__all__ = ['DCASGD']
@register
class DCASGD(Optimizer):
"""The DCASGD optimizer.
This class implements the optimizer described in *As... | python/mxnet/optimizer/dcasgd.py |
# pylint: disable=W0223
"""DCASGD optimizer."""
from __future__ import absolute_import
from ..ndarray import (zeros, clip, square)
from .optimizer import Optimizer, register
__all__ = ['DCASGD']
@register
class DCASGD(Optimizer):
"""The DCASGD optimizer.
This class implements the optimizer described in *As... | 0.949318 | 0.414306 |
import os
import sys
def initialize_dynamic_lines():
return [
'---\n',
'layout: default\n',
'---\n'
]
def initialize_static_lines():
return [
'# A lightweight range slider with expandable timeline\n\n',
'See this project at [artoonie.github.io/timeline-range-slider... | docs/generate-readme.py |
import os
import sys
def initialize_dynamic_lines():
return [
'---\n',
'layout: default\n',
'---\n'
]
def initialize_static_lines():
return [
'# A lightweight range slider with expandable timeline\n\n',
'See this project at [artoonie.github.io/timeline-range-slider... | 0.432543 | 0.417628 |
import heapq
import math
import sys
from typing import List, Tuple
def convert_input(data: List[str]) -> List[List[int]]:
return [list(map(int, line)) for line in data if line]
def get_neighbours(x, y: int, limit: int) -> List[Tuple[int, int]]:
return [
(i, j)
for i, j in [(x + 1, y), (x - 1... | 2021/day_15/chiton.py | import heapq
import math
import sys
from typing import List, Tuple
def convert_input(data: List[str]) -> List[List[int]]:
return [list(map(int, line)) for line in data if line]
def get_neighbours(x, y: int, limit: int) -> List[Tuple[int, int]]:
return [
(i, j)
for i, j in [(x + 1, y), (x - 1... | 0.383064 | 0.506713 |
import torch
import torch.nn as nn
class VGG(nn.Module):
def __init__(self, features, num_classes=1000, init_weight=True):
super(VGG, self).__init__()
self.features = features
self.avgpool = nn.AdaptiveAvgPool2d((7, 7))
self.classifier = nn.Sequential(
nn.Linear(512 * 7 ... | Classification/vgg.py | import torch
import torch.nn as nn
class VGG(nn.Module):
def __init__(self, features, num_classes=1000, init_weight=True):
super(VGG, self).__init__()
self.features = features
self.avgpool = nn.AdaptiveAvgPool2d((7, 7))
self.classifier = nn.Sequential(
nn.Linear(512 * 7 ... | 0.928433 | 0.425187 |
import scrapy
import regex
from bs4 import BeautifulSoup
import urllib
import pandas
class QuotesSpider(scrapy.Spider):
name = "CO_Spider"
Search_Url = r"http://www.coloradoshines.com/search?location={0}"
Main_Url = r"http://www.coloradoshines.com/search"
Detail_Url = r"http://www.coloradoshines.com/p... | First_Spider/spiders/CO_Spider.py | import scrapy
import regex
from bs4 import BeautifulSoup
import urllib
import pandas
class QuotesSpider(scrapy.Spider):
name = "CO_Spider"
Search_Url = r"http://www.coloradoshines.com/search?location={0}"
Main_Url = r"http://www.coloradoshines.com/search"
Detail_Url = r"http://www.coloradoshines.com/p... | 0.204183 | 0.125413 |
from allure import title, description, suite, parent_suite
from data import AUTH_DATA_FAIL_BAD_TOKEN, API_USERS_SUCCESS, API_PUT_METHOD_NOT_ALLOWED, API_AUTH_TOKEN_EMPTY, \
API_BAD_REQUEST_LENGTH_TOKEN, AUTH_DATA_LENGTH_TOKEN, API_BAD_REQUEST_EMPTY_OBJECTS, \
API_BAD_REQUEST_LENGTH_MATERIALS_100_CHARACTERS, AP... | tests/api/test_objects_update.py | from allure import title, description, suite, parent_suite
from data import AUTH_DATA_FAIL_BAD_TOKEN, API_USERS_SUCCESS, API_PUT_METHOD_NOT_ALLOWED, API_AUTH_TOKEN_EMPTY, \
API_BAD_REQUEST_LENGTH_TOKEN, AUTH_DATA_LENGTH_TOKEN, API_BAD_REQUEST_EMPTY_OBJECTS, \
API_BAD_REQUEST_LENGTH_MATERIALS_100_CHARACTERS, AP... | 0.417509 | 0.256969 |
import os
import random
import unittest
from common import format
class FormatTestCase(unittest.TestCase):
def test_rendering_text(self):
text = u"toto{%toto%}tata{%toto%}:{%titi%}"
self.assertEqual(u"totoatataa:b",
format.render_text(text,
toto... | common/format_test.py |
import os
import random
import unittest
from common import format
class FormatTestCase(unittest.TestCase):
def test_rendering_text(self):
text = u"toto{%toto%}tata{%toto%}:{%titi%}"
self.assertEqual(u"totoatataa:b",
format.render_text(text,
toto... | 0.441432 | 0.479382 |
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
import numpy as np
import liwc
from collections import Counter
import textstat
import string
from nltk.corpus import stopwords
from settings.scraper import TARGET_LANGS
import stanza
nlp = stanza.Pipeline('en', use_gpu=False) # stanza.down... | tools/features_extraction.py | from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
import numpy as np
import liwc
from collections import Counter
import textstat
import string
from nltk.corpus import stopwords
from settings.scraper import TARGET_LANGS
import stanza
nlp = stanza.Pipeline('en', use_gpu=False) # stanza.down... | 0.435421 | 0.296699 |
import collections
import unittest
from unittest.mock import call, patch, MagicMock
from .. import mc_default_task_handler
class BaseTestCase(unittest.TestCase):
def setUp(self):
super().setUp()
self.task = collections.defaultdict(MagicMock)
self.task_ctx = collections.defaultdict(MagicMo... | mc/task_handlers/tests/test_mc_default_task_handler.py | import collections
import unittest
from unittest.mock import call, patch, MagicMock
from .. import mc_default_task_handler
class BaseTestCase(unittest.TestCase):
def setUp(self):
super().setUp()
self.task = collections.defaultdict(MagicMock)
self.task_ctx = collections.defaultdict(MagicMo... | 0.565179 | 0.292078 |
import json
import imageio
from tqdm.auto import tqdm
import time
from PIL import Image, ImageFont, ImageDraw
import re
import random
from matplotlib import pyplot as plt
import os
import string
from IPython.display import FileLink, HTML, display
def random_string_id(L=6):
"""Random ID."""
char_set = string.as... | causal_analysis/plot_gif_model.py | import json
import imageio
from tqdm.auto import tqdm
import time
from PIL import Image, ImageFont, ImageDraw
import re
import random
from matplotlib import pyplot as plt
import os
import string
from IPython.display import FileLink, HTML, display
def random_string_id(L=6):
"""Random ID."""
char_set = string.as... | 0.557725 | 0.16248 |
from __future__ import division
import unittest
import numpy as np
import pandas as pd
from nimbusml import DataSchema, FileDataStream, Pipeline, Role
from nimbusml.datasets import get_dataset
from nimbusml.ensemble import LightGbmRegressor, VotingRegressor
from nimbusml.feature_extraction.categorical import OneHotVe... | src/python/nimbusml/tests/ensemble/test_votingregressor.py | from __future__ import division
import unittest
import numpy as np
import pandas as pd
from nimbusml import DataSchema, FileDataStream, Pipeline, Role
from nimbusml.datasets import get_dataset
from nimbusml.ensemble import LightGbmRegressor, VotingRegressor
from nimbusml.feature_extraction.categorical import OneHotVe... | 0.716119 | 0.538741 |
import sys
import pandas as pd
from sqlalchemy import create_engine
import sqlite3
def load_data(messages_filepath, categories_filepath):
"""
Load messages and categories datasets
Merge these datasets into a dataframe
Args:
messages_filepath : filepath of messages.read_csv
categories_fi... | data/process_data.py | import sys
import pandas as pd
from sqlalchemy import create_engine
import sqlite3
def load_data(messages_filepath, categories_filepath):
"""
Load messages and categories datasets
Merge these datasets into a dataframe
Args:
messages_filepath : filepath of messages.read_csv
categories_fi... | 0.580352 | 0.511412 |
from warnings import warn
from logging import getLogger
from re import sub
lg = getLogger(__name__)
def find_root(filename, target='bids'):
"""Find base directory (root) for a filename.
Parameters
----------
filename : instance of Path
search the root for this file
target: str
'b... | bidso/find.py | from warnings import warn
from logging import getLogger
from re import sub
lg = getLogger(__name__)
def find_root(filename, target='bids'):
"""Find base directory (root) for a filename.
Parameters
----------
filename : instance of Path
search the root for this file
target: str
'b... | 0.700895 | 0.208119 |
from typing import Any, Optional, TYPE_CHECKING
from azure.core import AsyncPipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from azure.core.credentials_async import AsyncTokenCredential
from ._configuration import EntitySearchCli... | sdk/EntitySearch/entity_search_client/aio/_entity_search_client.py |
from typing import Any, Optional, TYPE_CHECKING
from azure.core import AsyncPipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from azure.core.credentials_async import AsyncTokenCredential
from ._configuration import EntitySearchCli... | 0.806205 | 0.115586 |
import json
import time
import sqlite3 as lite
import os
def save_json_file(BASE_DIR):
# Serialize data into file:
global save_dict
file_path = "\\".join([BASE_DIR,'data','save_options.json'])
json.dump( save_dict, open(file_path, 'w' ) )
def load_json_file(BASE_DIR):
# Read ... | extraPacks/Utils.py | import json
import time
import sqlite3 as lite
import os
def save_json_file(BASE_DIR):
# Serialize data into file:
global save_dict
file_path = "\\".join([BASE_DIR,'data','save_options.json'])
json.dump( save_dict, open(file_path, 'w' ) )
def load_json_file(BASE_DIR):
# Read ... | 0.047791 | 0.048406 |
import importlib
from typing import Dict, Sequence, Iterator
import torch
import tvl.backend
from tvl.backend import BackendFactory
# Explicitly set backends for particular device types.
_device_backends: Dict[str, BackendFactory] = {}
# Known backends. These will be searched if a device type does not have a backend... | src/tvl/__init__.py | import importlib
from typing import Dict, Sequence, Iterator
import torch
import tvl.backend
from tvl.backend import BackendFactory
# Explicitly set backends for particular device types.
_device_backends: Dict[str, BackendFactory] = {}
# Known backends. These will be searched if a device type does not have a backend... | 0.887375 | 0.101012 |
import logging
from mimetypes import guess_extension, guess_type
import re
from spycis.compat import *
from spycis.utils import session, urlparse, RequestException
from .common import BaseExtractor
class GorillaVidExtractor(BaseExtractor):
""" gorillavid extractor
"""
def __init__(self):
super(... | spycis/extractors/gorillavid.py | import logging
from mimetypes import guess_extension, guess_type
import re
from spycis.compat import *
from spycis.utils import session, urlparse, RequestException
from .common import BaseExtractor
class GorillaVidExtractor(BaseExtractor):
""" gorillavid extractor
"""
def __init__(self):
super(... | 0.35209 | 0.137099 |
import pytest
import Dragon_Tokens
from Cas_Format import CasFormat, LEADER, SYNC, NAME_FILE_BLOCK, BASIC_FILE_IDENTIFIER, ASCII_FILE_FLAG, \
CONTINUOUS_FILE, DATA_BLOCK, END_OF_FILE_BLOCK, DATA_FILE_IDENTIFIER
def test_given_a_valid_byte_array_returns_a_formatted_string():
stream = [LEADER, SYNC, NAME_FILE_... | test_Cas_Format.py | import pytest
import Dragon_Tokens
from Cas_Format import CasFormat, LEADER, SYNC, NAME_FILE_BLOCK, BASIC_FILE_IDENTIFIER, ASCII_FILE_FLAG, \
CONTINUOUS_FILE, DATA_BLOCK, END_OF_FILE_BLOCK, DATA_FILE_IDENTIFIER
def test_given_a_valid_byte_array_returns_a_formatted_string():
stream = [LEADER, SYNC, NAME_FILE_... | 0.446495 | 0.364085 |
from __future__ import print_function, division, absolute_import
__author__ = "<NAME>"
__license__ = "MIT"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from functools import partial
from collections import OrderedDict
from Qt.QtCore import Qt, Signal, QObject
from Qt.QtWidgets import QMenu
from tpDcc.managers im... | tpRigToolkit/tools/jointorient/widgets/rotationaxis.py | from __future__ import print_function, division, absolute_import
__author__ = "<NAME>"
__license__ = "MIT"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from functools import partial
from collections import OrderedDict
from Qt.QtCore import Qt, Signal, QObject
from Qt.QtWidgets import QMenu
from tpDcc.managers im... | 0.520253 | 0.090293 |
import io
import mmh3 # type:ignore
import struct
from operator import itemgetter
from typing import Iterable
from functools import lru_cache
MAX_INDEX = 4294967295 # 2^32 - 1
STRUCT_DEF = "I I I" # 4 byte unsigned int, 4 byte unsigned int, 4 byte unsigned int
RECORD_SIZE = struct.calcsize(STRUCT_DEF) # this shou... | mabel/index/index.py | import io
import mmh3 # type:ignore
import struct
from operator import itemgetter
from typing import Iterable
from functools import lru_cache
MAX_INDEX = 4294967295 # 2^32 - 1
STRUCT_DEF = "I I I" # 4 byte unsigned int, 4 byte unsigned int, 4 byte unsigned int
RECORD_SIZE = struct.calcsize(STRUCT_DEF) # this shou... | 0.838283 | 0.54353 |
import numpy as np
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from ActiveModel.quantile import RandomForestQu... | generator_labeler/ActiveModel/quantile/tests/test_ensemble.py | import numpy as np
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_array_almost_equal
from sklearn.utils.testing import assert_true
from ActiveModel.quantile import RandomForestQu... | 0.866951 | 0.835517 |
import wx
# Define events for communication by threads
EVT_PROGRESS_ID = wx.NewIdRef()
def EVT_PROGRESS(win, func):
"""Define Result Event."""
win.Connect(-1, -1, EVT_PROGRESS_ID, func)
class ProgressEvent(wx.PyEvent):
"""Simple event to carry arbitrary progress data."""
def __init__(self, data):
... | src/Common/CustomEvents.py | import wx
# Define events for communication by threads
EVT_PROGRESS_ID = wx.NewIdRef()
def EVT_PROGRESS(win, func):
"""Define Result Event."""
win.Connect(-1, -1, EVT_PROGRESS_ID, func)
class ProgressEvent(wx.PyEvent):
"""Simple event to carry arbitrary progress data."""
def __init__(self, data):
... | 0.718199 | 0.230616 |
import ctypes
from contextlib import contextmanager
import errno
import logging
import os
import platform
import pwd
import grp
import subprocess
from .exceptions import CommandFailed
_logger = logging.getLogger(__name__)
def get_current_user_shell():
return pwd.getpwuid(os.getuid()).pw_shell
def execute_command... | dwight_chroot/platform_utils.py | import ctypes
from contextlib import contextmanager
import errno
import logging
import os
import platform
import pwd
import grp
import subprocess
from .exceptions import CommandFailed
_logger = logging.getLogger(__name__)
def get_current_user_shell():
return pwd.getpwuid(os.getuid()).pw_shell
def execute_command... | 0.146606 | 0.075346 |
from skeleton_tools.openpose_layouts.graph_layout import GraphLayout
BODY_25_LAYOUT = GraphLayout(
'BODY_25',
1,
{
0: "Nose",
1: "Neck",
2: "RShoulder",
3: "RElbow",
4: "RWrist",
5: "LShoulder",
6: "LElbow",
7: "LWrist",
8: "MidHip",
... | src/skeleton_tools/openpose_layouts/body.py | from skeleton_tools.openpose_layouts.graph_layout import GraphLayout
BODY_25_LAYOUT = GraphLayout(
'BODY_25',
1,
{
0: "Nose",
1: "Neck",
2: "RShoulder",
3: "RElbow",
4: "RWrist",
5: "LShoulder",
6: "LElbow",
7: "LWrist",
8: "MidHip",
... | 0.498291 | 0.285976 |
import nixio
import numpy as np
import matplotlib.pyplot as plt
def create_data(interval=0.001):
time = np.arange(0., 1.0, interval)
freq = 5.
signal = np.sin(time * 2 * np.pi * freq) + np.sin(time * 2 * np.pi * 2 * freq) * 0.4
events = time[(signal > 0.5) & (np.roll(signal, -1) <= 0.5)]
return si... | docs/source/examples/multiple_points.py | import nixio
import numpy as np
import matplotlib.pyplot as plt
def create_data(interval=0.001):
time = np.arange(0., 1.0, interval)
freq = 5.
signal = np.sin(time * 2 * np.pi * freq) + np.sin(time * 2 * np.pi * 2 * freq) * 0.4
events = time[(signal > 0.5) & (np.roll(signal, -1) <= 0.5)]
return si... | 0.54698 | 0.652975 |
from .auth import Auth
from . import config as Config
from .lib.Gen.ttypes import *
from typing import Union, Any, List
from .connections import Connection
from random import randint
import asyncio, json
class Talk(Connection):
_unsendMessageReq = 0
def __init__(self, auth):
super().__init__("/S4")
self.auth =... | AsyncLine/talk.py | from .auth import Auth
from . import config as Config
from .lib.Gen.ttypes import *
from typing import Union, Any, List
from .connections import Connection
from random import randint
import asyncio, json
class Talk(Connection):
_unsendMessageReq = 0
def __init__(self, auth):
super().__init__("/S4")
self.auth =... | 0.657758 | 0.17259 |
from nose.plugins.attrib import attr
from ion_functions.test.base_test import BaseUnitTestCase
import numpy as np
from ion_functions.data import ph_functions as ph
@attr('UNIT', group='func')
class TestpHFunctionsUnit(BaseUnitTestCase):
def setUp(self):
"""
Test values for the PHWATER unit tests,... | ion_functions/data/test/test_ph_functions.py | from nose.plugins.attrib import attr
from ion_functions.test.base_test import BaseUnitTestCase
import numpy as np
from ion_functions.data import ph_functions as ph
@attr('UNIT', group='func')
class TestpHFunctionsUnit(BaseUnitTestCase):
def setUp(self):
"""
Test values for the PHWATER unit tests,... | 0.592077 | 0.449332 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from base64 import b64decode
from collections import OrderedDict
import json
from kube_obj import KubeObj
from kube_types import *
from kube_vartypes import Base64, JSO... | lib/kube_objs/secret.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from base64 import b64decode
from collections import OrderedDict
import json
from kube_obj import KubeObj
from kube_types import *
from kube_vartypes import Base64, JSO... | 0.599368 | 0.102979 |
import os
import re
from enum import Enum
from urllib.parse import urlparse
import colorama
from tldextract import tldextract
class YDLHelper(object):
""""""""""""""" Initializer """""""""""""""
def __init__(self):
self.__preprocess_queue_index = 0
self.__preprocess_queue_total = 0
... | core/youtube_dl.py |
import os
import re
from enum import Enum
from urllib.parse import urlparse
import colorama
from tldextract import tldextract
class YDLHelper(object):
""""""""""""""" Initializer """""""""""""""
def __init__(self):
self.__preprocess_queue_index = 0
self.__preprocess_queue_total = 0
... | 0.661376 | 0.132599 |
import PIL
import random
import unittest
import numpy as np
import chainer
from chainer import testing
from chainercv.transforms import flip
from chainercv.transforms import rotate
try:
import cv2 # NOQA
_cv2_available = True
except ImportError:
_cv2_available = False
@testing.parameterize(*testing.pr... | tests/transforms_tests/image_tests/test_rotate.py | import PIL
import random
import unittest
import numpy as np
import chainer
from chainer import testing
from chainercv.transforms import flip
from chainercv.transforms import rotate
try:
import cv2 # NOQA
_cv2_available = True
except ImportError:
_cv2_available = False
@testing.parameterize(*testing.pr... | 0.601008 | 0.493287 |
from tensorflow.keras import regularizers
from tensorflow.keras.models import Sequential
from tensorflow.keras.models import load_model
from tensorflow.keras.layers import Dense, Activation, Dropout, Flatten, LSTM, RNN, Bidirectional, Flatten, Activation, \
RepeatVector, Permute, Multiply, Lambda, Concatenate, Batc... | mlearning/dl_models.py | from tensorflow.keras import regularizers
from tensorflow.keras.models import Sequential
from tensorflow.keras.models import load_model
from tensorflow.keras.layers import Dense, Activation, Dropout, Flatten, LSTM, RNN, Bidirectional, Flatten, Activation, \
RepeatVector, Permute, Multiply, Lambda, Concatenate, Batc... | 0.856722 | 0.489931 |
import numpy as np
from util import Saver
class PI2(Saver):
saved_names = ('theta',)
def __init__(self, dmps, n_updates, n_reps, n_dims, n_bfs,
n_times, r_gain, r_normalize):
self.dmps = dmps
self.n_updates = n_updates
self.n_reps = n_reps
self.n_dims = n_dims... | agents/pi2.py | import numpy as np
from util import Saver
class PI2(Saver):
saved_names = ('theta',)
def __init__(self, dmps, n_updates, n_reps, n_dims, n_bfs,
n_times, r_gain, r_normalize):
self.dmps = dmps
self.n_updates = n_updates
self.n_reps = n_reps
self.n_dims = n_dims... | 0.350977 | 0.347745 |
from t import T
import requests,urllib2,json,urlparse
class P(T):
def __init__(self):
T.__init__(self)
def verify(self,head='',context='',ip='',port='',productname={},keywords='',hackinfo=''):
target_url = "http://"+ip+":"+str(port)+"/plugins/weathermap/editor.php"
result = {}
r... | component/cacti/cactiweathermap.py | from t import T
import requests,urllib2,json,urlparse
class P(T):
def __init__(self):
T.__init__(self)
def verify(self,head='',context='',ip='',port='',productname={},keywords='',hackinfo=''):
target_url = "http://"+ip+":"+str(port)+"/plugins/weathermap/editor.php"
result = {}
r... | 0.105567 | 0.063279 |
import matplotlib.pyplot as plt
import os
BASE_PATH = os.path.join(os.path.dirname(__file__), "Object-Detection-Metrics")
results_name = []
results_paths = []
colours = []
"""
results_name.append("yolov5l_dsv1")
results_paths.append(os.path.join(BASE_PATH, "results_yolov5l_dsv1", "results.txt"))
colours.append('-b')
... | evaluation/plot_results.py | import matplotlib.pyplot as plt
import os
BASE_PATH = os.path.join(os.path.dirname(__file__), "Object-Detection-Metrics")
results_name = []
results_paths = []
colours = []
"""
results_name.append("yolov5l_dsv1")
results_paths.append(os.path.join(BASE_PATH, "results_yolov5l_dsv1", "results.txt"))
colours.append('-b')
... | 0.252937 | 0.192027 |
from __future__ import unicode_literals
import re
import xml.etree.ElementTree as ET
def _equals(search_str, attr_str):
"""Equals-operator which is used to find a view"""
return search_str == attr_str
def _contains(search_str, attr_str):
"""Contains-operator which is used to find a view"""
return se... | phoneauto/scriptgenerator/view_hierarchy_dump.py | from __future__ import unicode_literals
import re
import xml.etree.ElementTree as ET
def _equals(search_str, attr_str):
"""Equals-operator which is used to find a view"""
return search_str == attr_str
def _contains(search_str, attr_str):
"""Contains-operator which is used to find a view"""
return se... | 0.890806 | 0.171408 |
import argparse
import functools
import json
import multiprocessing
from typing import Optional, Union
import musdb
import museval
import torch
import tqdm
import random
from xumx_slicq import utils
def separate_and_evaluate(
track: musdb.MultiTrack,
model_str_or_path: str,
niter: int,
output_dir: s... | xumx_slicq/evaluate.py | import argparse
import functools
import json
import multiprocessing
from typing import Optional, Union
import musdb
import museval
import torch
import tqdm
import random
from xumx_slicq import utils
def separate_and_evaluate(
track: musdb.MultiTrack,
model_str_or_path: str,
niter: int,
output_dir: s... | 0.868074 | 0.167253 |
import itertools
import json
import os
import numpy as np
from .roberta import Tokenizer as Roberta
from ...tokens.utils import (
AddedToken,
BatchEncoding,
PaddingStrategy,
TruncationStrategy,
_is_tensorflow,
_is_torch,
to_py_obj,
)
from ...tokens.utils import is_tf_available, is_torch_a... | qnarre/prep/tokens/luke.py |
import itertools
import json
import os
import numpy as np
from .roberta import Tokenizer as Roberta
from ...tokens.utils import (
AddedToken,
BatchEncoding,
PaddingStrategy,
TruncationStrategy,
_is_tensorflow,
_is_torch,
to_py_obj,
)
from ...tokens.utils import is_tf_available, is_torch_a... | 0.464416 | 0.164718 |
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import animation, pyplot as plt
import h5py
import argparse
import numpy as np
class AnimatedGif:
def __init__(self, zlim, size=(800, 800)):
self.fig = plt.figure()
self.fig.set_size_inches(size[0] / 100, size[1] / 100)
self.ax = sel... | module4/ShallowWater/visual.py |
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import animation, pyplot as plt
import h5py
import argparse
import numpy as np
class AnimatedGif:
def __init__(self, zlim, size=(800, 800)):
self.fig = plt.figure()
self.fig.set_size_inches(size[0] / 100, size[1] / 100)
self.ax = sel... | 0.465145 | 0.432782 |
from ooo.oenv.env_const import UNO_NONE
import typing
from ...mozilla.mozilla_product_type import MozillaProductType as MozillaProductType_2e210f5b
class NSSProfile(object):
"""
Struct Class
**since**
LibreOffice 7.1
See Also:
`API NSSProfile <https://api.libreoffice.org/do... | ooobuild/lo/xml/crypto/nss_profile.py | from ooo.oenv.env_const import UNO_NONE
import typing
from ...mozilla.mozilla_product_type import MozillaProductType as MozillaProductType_2e210f5b
class NSSProfile(object):
"""
Struct Class
**since**
LibreOffice 7.1
See Also:
`API NSSProfile <https://api.libreoffice.org/do... | 0.677047 | 0.22673 |
import pandas as pd
import logging
import time
from goose3 import Goose
from selenium import webdriver
import threading
import concurrent.futures
from typing import Dict
from tweetfinder import Article
logging.basicConfig(level=logging.INFO, format='%(asctime)s | %(levelname)s | %(name)s | %(message)s')
l... | evaluate-from-csv.py | import pandas as pd
import logging
import time
from goose3 import Goose
from selenium import webdriver
import threading
import concurrent.futures
from typing import Dict
from tweetfinder import Article
logging.basicConfig(level=logging.INFO, format='%(asctime)s | %(levelname)s | %(name)s | %(message)s')
l... | 0.525369 | 0.070528 |
import sys
import png
def buf_emu(not_buffer):
"""Buffer emulation, mostly for `array` object"""
if hasattr(not_buffer, 'tostring'):
return not_buffer.tostring()
else:
try:
return bytes(not_buffer)
except NameError:
return str(not_buffer)
try:
buffer
e... | extools/pngrepack.py | import sys
import png
def buf_emu(not_buffer):
"""Buffer emulation, mostly for `array` object"""
if hasattr(not_buffer, 'tostring'):
return not_buffer.tostring()
else:
try:
return bytes(not_buffer)
except NameError:
return str(not_buffer)
try:
buffer
e... | 0.287768 | 0.187133 |
from collections import deque
import numpy as np
import argparse
import imutils
import math
import cv2
import rospy
import os
from sensor_msgs.msg import Image
# define the lower and upper boundaries of the "green"
# ball in the HSV color space, then initialize the
# list of tracked points
greenLower = (29, 86, 6)
gre... | scripts/scale.py | from collections import deque
import numpy as np
import argparse
import imutils
import math
import cv2
import rospy
import os
from sensor_msgs.msg import Image
# define the lower and upper boundaries of the "green"
# ball in the HSV color space, then initialize the
# list of tracked points
greenLower = (29, 86, 6)
gre... | 0.311741 | 0.279584 |
import re
import json
import logging
from abc import ABC, abstractmethod
from enum import auto, Enum
from wallabag.config import Options, Sections
import requests
from packaging import version
MINIMUM_API_VERSION = "2.1.1"
class ApiException(Exception):
error_text = None
error_description = None
def... | src/wallabag/api/api.py | import re
import json
import logging
from abc import ABC, abstractmethod
from enum import auto, Enum
from wallabag.config import Options, Sections
import requests
from packaging import version
MINIMUM_API_VERSION = "2.1.1"
class ApiException(Exception):
error_text = None
error_description = None
def... | 0.459804 | 0.064271 |
from sym_lis3 import GlobalEnv
import pytest
@pytest.mark.parametrize("noneref", [
("None", None),
])
def test_none(noneref):
g = GlobalEnv()
assert g.eval_str(noneref[0]) is noneref[1]
@pytest.mark.parametrize("test_input,expected", [
("(+ 1 2)", 3),
("(+ (+ 11 28) 2)", 41),
("(+ (+ 11 28) (... | tests/test_passed.py | from sym_lis3 import GlobalEnv
import pytest
@pytest.mark.parametrize("noneref", [
("None", None),
])
def test_none(noneref):
g = GlobalEnv()
assert g.eval_str(noneref[0]) is noneref[1]
@pytest.mark.parametrize("test_input,expected", [
("(+ 1 2)", 3),
("(+ (+ 11 28) 2)", 41),
("(+ (+ 11 28) (... | 0.553505 | 0.654343 |
import numpy as np
class FourMomentum:
def __init__(self, vec, basis='x,y,z,m'):
self.set_basis(vec,basis)
def set_basis(self, vec, basis='x,y,z,m'):
"""
@brief Set the four-momentum where vec is a four vector in the basis defined by
the string basis, e.g 'xyzm' corresponds to ... | ostrawling/event/four_momentum.py | import numpy as np
class FourMomentum:
def __init__(self, vec, basis='x,y,z,m'):
self.set_basis(vec,basis)
def set_basis(self, vec, basis='x,y,z,m'):
"""
@brief Set the four-momentum where vec is a four vector in the basis defined by
the string basis, e.g 'xyzm' corresponds to ... | 0.853882 | 0.517449 |
from secrets import choice
from decimal import Decimal
from django.core.management.base import BaseCommand
from django.contrib.auth import get_user_model
from django.db import transaction
from django.conf import settings
from website.utils import get_log_url_for_user
from website.models import UserProfile
from websit... | annotater/memetext/management/commands/setup_demo.py | from secrets import choice
from decimal import Decimal
from django.core.management.base import BaseCommand
from django.contrib.auth import get_user_model
from django.db import transaction
from django.conf import settings
from website.utils import get_log_url_for_user
from website.models import UserProfile
from websit... | 0.402862 | 0.107766 |
# Friday Command_Executing
# Some parts are inspired by: https://github.com/aazuspan/Voithos/blob/master/backend/src/Voithos/CommandHandler.py
import importlib
import pkgutil
import os
from .scripts.Function_Module import Function_Module
class command_executing:
defaultReturnUnable = "Sorry Sir, I ... | FRIDAY/command_executing/command_executing.py |
# Friday Command_Executing
# Some parts are inspired by: https://github.com/aazuspan/Voithos/blob/master/backend/src/Voithos/CommandHandler.py
import importlib
import pkgutil
import os
from .scripts.Function_Module import Function_Module
class command_executing:
defaultReturnUnable = "Sorry Sir, I ... | 0.561816 | 0.146881 |
import preprocessing.config as cfg
import uuid
import argparse
import gc
import os
from preprocessing import select_gpu # choose GPU through import
from keras.callbacks import EarlyStopping, ReduceLROnPlateau
from preprocessing.data import LightDataManager
import preprocessing.file_utils as futils
from preprocessing... | pmsm/hp_tune_rnn.py | import preprocessing.config as cfg
import uuid
import argparse
import gc
import os
from preprocessing import select_gpu # choose GPU through import
from keras.callbacks import EarlyStopping, ReduceLROnPlateau
from preprocessing.data import LightDataManager
import preprocessing.file_utils as futils
from preprocessing... | 0.482185 | 0.102709 |
from setuptools import setup, find_packages
def get_version():
"""
Get version number from the seirmo module.
The easiest way would be to just ``import seirmo ``, but note that this may # noqa
fail if the dependencies have not been installed yet. Instead, we've put
the version number in a simple ... | setup.py | from setuptools import setup, find_packages
def get_version():
"""
Get version number from the seirmo module.
The easiest way would be to just ``import seirmo ``, but note that this may # noqa
fail if the dependencies have not been installed yet. Instead, we've put
the version number in a simple ... | 0.357231 | 0.219735 |
import logging
import torch
import torch.nn as nn
import yaml
from .args import Args
from .stats import Stats
logger = logging.getLogger(__name__)
def load_checkpoint(args: Args) -> dict:
info_file = args.work_path.joinpath("info.yaml")
checkpoint_file = args.work_path.joinpath("checkpoint.yaml")
# Lo... | src/pagnn/training/dcn_old/utils.py | import logging
import torch
import torch.nn as nn
import yaml
from .args import Args
from .stats import Stats
logger = logging.getLogger(__name__)
def load_checkpoint(args: Args) -> dict:
info_file = args.work_path.joinpath("info.yaml")
checkpoint_file = args.work_path.joinpath("checkpoint.yaml")
# Lo... | 0.839208 | 0.251269 |
from mutable import mutates, scope
from unittest import TestCase, main
class MutableTest(TestCase):
def setUp(self):
@mutates
def fib(n):
return n if n<2 else fib(n-1)+fib(n-2)
self.fib = fib
def tearDown(self):
del self.fib
def test_update(self):
fib... | tests/test_basic.py |
from mutable import mutates, scope
from unittest import TestCase, main
class MutableTest(TestCase):
def setUp(self):
@mutates
def fib(n):
return n if n<2 else fib(n-1)+fib(n-2)
self.fib = fib
def tearDown(self):
del self.fib
def test_update(self):
fib... | 0.664976 | 0.714516 |
from __future__ import absolute_import
import logging
from contextlib import contextmanager
from PySide import QtGui
from PySide.QtCore import Qt
from mcedit2.command import SimpleRevisionCommand
from mcedit2.ui.panels.worldinfo import Ui_worldInfoWidget
from mcedit2.util.resources import resourcePath
from mcedit2.ut... | src/mcedit2/panels/worldinfo.py | from __future__ import absolute_import
import logging
from contextlib import contextmanager
from PySide import QtGui
from PySide.QtCore import Qt
from mcedit2.command import SimpleRevisionCommand
from mcedit2.ui.panels.worldinfo import Ui_worldInfoWidget
from mcedit2.util.resources import resourcePath
from mcedit2.ut... | 0.558086 | 0.125815 |
import pathlib
import sys
sys.path.append(str(pathlib.Path(__file__).absolute().parent.parent))
"""
Shows a simple interface to control NL2 stations using a tkinter GUI
Launch NoLimits 2 with the "--telemetry" option, then execute.
"""
import tkinter as tk
from typing import Union
from nl2telemetry.message import A... | demos/dispatch_control.py | import pathlib
import sys
sys.path.append(str(pathlib.Path(__file__).absolute().parent.parent))
"""
Shows a simple interface to control NL2 stations using a tkinter GUI
Launch NoLimits 2 with the "--telemetry" option, then execute.
"""
import tkinter as tk
from typing import Union
from nl2telemetry.message import A... | 0.631367 | 0.167015 |
import webbrowser
from base64 import b64encode
from dataclasses import dataclass
from http import HTTPStatus
from http.server import BaseHTTPRequestHandler, HTTPServer
from json import dumps, loads
from threading import Thread
from time import time
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, ove... | playlister/spotify.py | import webbrowser
from base64 import b64encode
from dataclasses import dataclass
from http import HTTPStatus
from http.server import BaseHTTPRequestHandler, HTTPServer
from json import dumps, loads
from threading import Thread
from time import time
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union, ove... | 0.765067 | 0.082401 |
class Connection:
"""Lazy proxy for database connection."""
def __init__(self, factory, *args, **keywords):
"""Initialize with factory method to generate DB connection
(e.g. odbc.odbc, cx_Oracle.connect) plus any positional and/or
keyword arguments required when factory is called.""... | recipes/Python/66423_LazyDB/recipe-66423.py | class Connection:
"""Lazy proxy for database connection."""
def __init__(self, factory, *args, **keywords):
"""Initialize with factory method to generate DB connection
(e.g. odbc.odbc, cx_Oracle.connect) plus any positional and/or
keyword arguments required when factory is called.""... | 0.860384 | 0.133868 |
"""A simple command line application to download youtube videos."""
import argparse
import datetime as dt
import gzip
import json
import logging
import os
import shutil
import sys
from io import BufferedWriter
from typing import Any, Optional, List
from pytube import __version__, CaptionQuery, Stream, Playlist
from p... | pytube/cli.py | """A simple command line application to download youtube videos."""
import argparse
import datetime as dt
import gzip
import json
import logging
import os
import shutil
import sys
from io import BufferedWriter
from typing import Any, Optional, List
from pytube import __version__, CaptionQuery, Stream, Playlist
from p... | 0.68763 | 0.211356 |
import datetime
import multiprocessing
import time
import pytest
from edera.exceptions import ExcusableError
from edera.exceptions import ExcusableMasterSlaveInvocationError
from edera.exceptions import MasterSlaveInvocationError
from edera.invokers import MultiProcessInvoker
from edera.routine import routine
def t... | tests/integration/invokers/test_multiprocess_invoker.py | import datetime
import multiprocessing
import time
import pytest
from edera.exceptions import ExcusableError
from edera.exceptions import ExcusableMasterSlaveInvocationError
from edera.exceptions import MasterSlaveInvocationError
from edera.invokers import MultiProcessInvoker
from edera.routine import routine
def t... | 0.483892 | 0.427755 |
import serial
import threading
import time
from multiprocessing import Process, Queue
import config
try:
from queue import Empty
except ImportError:
from Queue import Empty
class SerialManager(Process):
""" This class has been written by
<NAME> and can be found on
https://gist.github.com/4... | server/SerialInterface.py | import serial
import threading
import time
from multiprocessing import Process, Queue
import config
try:
from queue import Empty
except ImportError:
from Queue import Empty
class SerialManager(Process):
""" This class has been written by
<NAME> and can be found on
https://gist.github.com/4... | 0.251005 | 0.064359 |
from django import forms
from django.conf import settings
from django.forms import models, inlineformset_factory
from django.utils.safestring import mark_safe
from django.utils.translation import gettext_lazy as _
from competitions.models import (
Submission,
Competition,
Student as CompetitionStudent,
... | pucadmin/frontoffice/forms.py | from django import forms
from django.conf import settings
from django.forms import models, inlineformset_factory
from django.utils.safestring import mark_safe
from django.utils.translation import gettext_lazy as _
from competitions.models import (
Submission,
Competition,
Student as CompetitionStudent,
... | 0.645343 | 0.206654 |
import vobject
import json
class Task:
def __init__(self, vdata):
self.data_dict = vobject.readOne(vdata)
self.categories = self._parse_categories()
self.created = self._parse_created()
self.task_class = self._parse_class()
self.description = self._parse_description()
... | task.py | import vobject
import json
class Task:
def __init__(self, vdata):
self.data_dict = vobject.readOne(vdata)
self.categories = self._parse_categories()
self.created = self._parse_created()
self.task_class = self._parse_class()
self.description = self._parse_description()
... | 0.493164 | 0.124372 |
from datetime import date, datetime
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from tradeaccounts.models import Positions, TradeAccount, TradeAccountSnapshot
from tradeaccounts.utils import calibrate_realtime_position
from users.models import User
class Comma... | siteadmins/management/commands/snapshot.py | from datetime import date, datetime
from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from tradeaccounts.models import Positions, TradeAccount, TradeAccountSnapshot
from tradeaccounts.utils import calibrate_realtime_position
from users.models import User
class Comma... | 0.479991 | 0.14777 |
import os
import sys
from pprint import pprint
from pathlib import Path
import xlwt
import model2
import mcutils as mc
class ConfigFiles:
working_dir = Path(os.path.abspath(__file__)).parent.parent
working_dir = Path(os.getcwd()).parent
input_data_path = os.path.join(working_dir, 'input_data')
outpu... | CODE/utilities.py | import os
import sys
from pprint import pprint
from pathlib import Path
import xlwt
import model2
import mcutils as mc
class ConfigFiles:
working_dir = Path(os.path.abspath(__file__)).parent.parent
working_dir = Path(os.getcwd()).parent
input_data_path = os.path.join(working_dir, 'input_data')
outpu... | 0.111205 | 0.149035 |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from functionhelper.matrixhelper import delete_const_dims, pca_transform
from functionhelper.preprocessinghelper import normalize
from functionhelper.baseclassification import predict
class BaseFMNNClassifier(object):
... | functionhelper/basefmnnclassifier.py | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from functionhelper.matrixhelper import delete_const_dims, pca_transform
from functionhelper.preprocessinghelper import normalize
from functionhelper.baseclassification import predict
class BaseFMNNClassifier(object):
... | 0.733643 | 0.605333 |
_base_ = [
# 'configs/_base_/models/upernet_swin.py',
'configs/_base_/datasets/cityscapes.py',
'configs/_base_/default_runtime.py',
'configs/_base_/schedules/schedule_160k.py'
]
# By default, models are trained on 8 GPUs with 2 images per GPU
data = dict(samples_per_gpu=4)
# model settings
norm_cfg = di... | upernet_swin_small_patch4_window7_512x512_320000_cityscape.py | _base_ = [
# 'configs/_base_/models/upernet_swin.py',
'configs/_base_/datasets/cityscapes.py',
'configs/_base_/default_runtime.py',
'configs/_base_/schedules/schedule_160k.py'
]
# By default, models are trained on 8 GPUs with 2 images per GPU
data = dict(samples_per_gpu=4)
# model settings
norm_cfg = di... | 0.716814 | 0.150434 |
from __future__ import print_function
import os
import datetime
class Log(object):
def __init__(self, logdir_path='./log'):
'''
Log - used for writing information to console and files about experimental runs.
Arguments:
logdir_path: path to the base log directory.
'''
super(Log, self).__init__()
... | core/log.py |
from __future__ import print_function
import os
import datetime
class Log(object):
def __init__(self, logdir_path='./log'):
'''
Log - used for writing information to console and files about experimental runs.
Arguments:
logdir_path: path to the base log directory.
'''
super(Log, self).__init__()
... | 0.489015 | 0.12031 |
from __future__ import annotations
from .. import exc
from typing import TypeVar, Union, ClassVar, Iterator, Generic, Sized, \
SupportsInt, Iterable, Callable, Any
class Skip:
"""Used to mark a field to be skipped during iteration."""
pass
NOARG = type("NOARGE_TYPE", (), {})()
class SkipInt(Skip, int)... | candejar/utilities/skip.py | from __future__ import annotations
from .. import exc
from typing import TypeVar, Union, ClassVar, Iterator, Generic, Sized, \
SupportsInt, Iterable, Callable, Any
class Skip:
"""Used to mark a field to be skipped during iteration."""
pass
NOARG = type("NOARGE_TYPE", (), {})()
class SkipInt(Skip, int)... | 0.906863 | 0.238772 |
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cluster import KMeans
def euclideanDistance(centroid, datapoint):
'''
Description:{
Calculates the Euclidean distance between a centroid and
a data point
}
inputs: {
centroid: centroid position
datapoint:... | Semester 6/DWM/k_means.py | import matplotlib.pyplot as plt
import numpy as np
from sklearn.cluster import KMeans
def euclideanDistance(centroid, datapoint):
'''
Description:{
Calculates the Euclidean distance between a centroid and
a data point
}
inputs: {
centroid: centroid position
datapoint:... | 0.754463 | 0.886322 |
import logging
import environ
env = environ.Env()
# Build paths inside the project like this: os.path.join(ROOT_DIR, ...)
# ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ROOT_DIR = environ.Path(__file__) - 3
APPS_DIR = ROOT_DIR.path('apps')
# https://docs.djangoproject.com/en/3.2/ref/settin... | config/settings/base.py | import logging
import environ
env = environ.Env()
# Build paths inside the project like this: os.path.join(ROOT_DIR, ...)
# ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ROOT_DIR = environ.Path(__file__) - 3
APPS_DIR = ROOT_DIR.path('apps')
# https://docs.djangoproject.com/en/3.2/ref/settin... | 0.321993 | 0.0713 |
from django.shortcuts import render, redirect
from django.http import HttpResponse, Http404,HttpResponseRedirect
import datetime as dt
from .models import Project, ProjectUpdateRecipients
from .forms import ProjectUpdatesForm, NewProjectForm
from .email import send_welcome_email
from django.contrib.auth.decorators impo... | reviews/views.py | from django.shortcuts import render, redirect
from django.http import HttpResponse, Http404,HttpResponseRedirect
import datetime as dt
from .models import Project, ProjectUpdateRecipients
from .forms import ProjectUpdatesForm, NewProjectForm
from .email import send_welcome_email
from django.contrib.auth.decorators impo... | 0.308815 | 0.068662 |
from kf_lib_data_ingest.common import constants
from kf_lib_data_ingest.common.concept_schema import CONCEPT
from common.utils import make_identifier, make_select, get
RESOURCE_TYPE = "Patient"
# https://hl7.org/fhir/us/core/ValueSet-omb-ethnicity-category.html
omb_ethnicity_category = {
constants.ETHNICITY.HISP... | kf_model_fhir/mappers/resources/kfdrc_patient.py | from kf_lib_data_ingest.common import constants
from kf_lib_data_ingest.common.concept_schema import CONCEPT
from common.utils import make_identifier, make_select, get
RESOURCE_TYPE = "Patient"
# https://hl7.org/fhir/us/core/ValueSet-omb-ethnicity-category.html
omb_ethnicity_category = {
constants.ETHNICITY.HISP... | 0.675444 | 0.379091 |
from pytest import raises
from jqfilters.operations import Operation, OPERATORS
def test_identity():
f = OPERATORS['identity']
x = 'a'
expected = x
result = f(x)
assert result == expected
def test_toset():
f = OPERATORS['to_set']
x = 'a'
expected = {'a'}
result = f(x)
assert... | tests/test_operations.py | from pytest import raises
from jqfilters.operations import Operation, OPERATORS
def test_identity():
f = OPERATORS['identity']
x = 'a'
expected = x
result = f(x)
assert result == expected
def test_toset():
f = OPERATORS['to_set']
x = 'a'
expected = {'a'}
result = f(x)
assert... | 0.792143 | 0.804828 |
import torch
torch.manual_seed(123)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
import torch.nn as nn
import torch.utils.data as data
import torchvision
import numpy as np
np.random.seed(0)
import hickle as hkl
import pdb
def unnormalize(X, nt=1, norm=True):
mean = np.array([9... | src/utils/data_generator.py | import torch
torch.manual_seed(123)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
import torch.nn as nn
import torch.utils.data as data
import torchvision
import numpy as np
np.random.seed(0)
import hickle as hkl
import pdb
def unnormalize(X, nt=1, norm=True):
mean = np.array([9... | 0.718989 | 0.451931 |
import warnings
warnings.simplefilter('ignore',DeprecationWarning)
import os
import sys
from numpy import median, savez
from optparse import OptionParser # Command-line args
from qfed import QFED
from qfed.Date import Date
from qfed.met import MET
#----------------------------------------------... | src/Components/qfed/qfed_l2c.py | import warnings
warnings.simplefilter('ignore',DeprecationWarning)
import os
import sys
from numpy import median, savez
from optparse import OptionParser # Command-line args
from qfed import QFED
from qfed.Date import Date
from qfed.met import MET
#----------------------------------------------... | 0.147647 | 0.101902 |
from config.protobuf import *
# Rigid Bodies ---------------------------------------------------------------------------------------------------------
# Single Joint Robot
# Base Link
points_0 = [Point(x=0, y=0, z=0), Point(x=-100, y=0, z=0), Point(x=100, y=0, z=0), Point(x=0, y=100, z=0)]
lines_0 = [Line(point_0=poin... | python_prototype/config/robot_2.py | from config.protobuf import *
# Rigid Bodies ---------------------------------------------------------------------------------------------------------
# Single Joint Robot
# Base Link
points_0 = [Point(x=0, y=0, z=0), Point(x=-100, y=0, z=0), Point(x=100, y=0, z=0), Point(x=0, y=100, z=0)]
lines_0 = [Line(point_0=poin... | 0.462716 | 0.414247 |
import astroid
from astroid.bases import BUILTINS
from pylint.utils import OPTION_RGX
from pylint.checkers.base import NameChecker
from pylint.checkers.classes import ClassChecker
from pylint.checkers.utils import node_frame_class
from pylint.checkers.format import FormatChecker, _EMPTY_LINE
from python_ta.check... | venv/lib/python3.6/site-packages/python_ta/patches/checkers.py | import astroid
from astroid.bases import BUILTINS
from pylint.utils import OPTION_RGX
from pylint.checkers.base import NameChecker
from pylint.checkers.classes import ClassChecker
from pylint.checkers.utils import node_frame_class
from pylint.checkers.format import FormatChecker, _EMPTY_LINE
from python_ta.check... | 0.58439 | 0.088781 |
import enum
class ContractType(enum.Enum):
"""CT :: Contract Type.
The ContractType is the most important information. It defines the cash flow generating pattern of a contract. The ContractType information in combination with a given state of the risk factors will produce a deterministic sequence of cash fl... | pyactus/domain/enums/contract_type.py | import enum
class ContractType(enum.Enum):
"""CT :: Contract Type.
The ContractType is the most important information. It defines the cash flow generating pattern of a contract. The ContractType information in combination with a given state of the risk factors will produce a deterministic sequence of cash fl... | 0.751466 | 0.796253 |
from django.shortcuts import render,redirect
from django.contrib.contenttypes.models import ContentType
from django.contrib.auth.decorators import login_required
from django.db.models import Count
from django.http import JsonResponse
from account.forms import UserCreationForm, LoginForm, RegisterForm
from analytics.si... | src/srvup/views.py | from django.shortcuts import render,redirect
from django.contrib.contenttypes.models import ContentType
from django.contrib.auth.decorators import login_required
from django.db.models import Count
from django.http import JsonResponse
from account.forms import UserCreationForm, LoginForm, RegisterForm
from analytics.si... | 0.281801 | 0.063919 |
from django.test import TestCase
from django.test.client import RequestFactory
from mysqlapi.api.models import Instance
from mysqlapi.api.tests import mocks
from mysqlapi.api.views import Healthcheck
import mock
class HealthcheckTestCase(TestCase):
def setUp(self):
self.instance = Instance.objects.cre... | mysqlapi/api/tests/test_healthcheck.py |
from django.test import TestCase
from django.test.client import RequestFactory
from mysqlapi.api.models import Instance
from mysqlapi.api.tests import mocks
from mysqlapi.api.views import Healthcheck
import mock
class HealthcheckTestCase(TestCase):
def setUp(self):
self.instance = Instance.objects.cre... | 0.57093 | 0.125627 |
import numpy as np
def verifica_quadrada(matriz_A):
linhas, colunas = np.shape(matriz_A)
return linhas == colunas
def verifica_inversa(matriz_A):
if verifica_quadrada(matriz_A):
print("A matriz é quadrada")
det = np.linalg.det(matriz_A)
print("O determinante da matriz é:", det)
... | criterios.py | import numpy as np
def verifica_quadrada(matriz_A):
linhas, colunas = np.shape(matriz_A)
return linhas == colunas
def verifica_inversa(matriz_A):
if verifica_quadrada(matriz_A):
print("A matriz é quadrada")
det = np.linalg.det(matriz_A)
print("O determinante da matriz é:", det)
... | 0.270577 | 0.809916 |
from flask_restful import Resource, reqparse
from models.user import UserModel
from models.user_info import UserInfoModel
from flask_jwt import jwt_required
class UserInfo(Resource):
root_parser = reqparse.RequestParser()
root_parser.add_argument(
"address", type=dict, help="This field cannot be left... | resources/user_info.py | from flask_restful import Resource, reqparse
from models.user import UserModel
from models.user_info import UserInfoModel
from flask_jwt import jwt_required
class UserInfo(Resource):
root_parser = reqparse.RequestParser()
root_parser.add_argument(
"address", type=dict, help="This field cannot be left... | 0.484868 | 0.073763 |
import datetime
import logging
import pandas as pd
from modules.utils import get_season
logger = logging.getLogger('client_data')
class UtilTablesError(Exception):
pass
def create_utility_tables(conn, start_date, end_date, start_peak, end_peak):
'''
Populates tables used to provide attributes to days ... | src/python/modules/utility_tables.py | import datetime
import logging
import pandas as pd
from modules.utils import get_season
logger = logging.getLogger('client_data')
class UtilTablesError(Exception):
pass
def create_utility_tables(conn, start_date, end_date, start_peak, end_peak):
'''
Populates tables used to provide attributes to days ... | 0.385837 | 0.244622 |
import jsonpickle, csv
class Commit(object):
date = ""
commitkey = ""
author = ""
description = ""
filesModified = []
filesAdded = []
filesDeleted = []
def __init__(self, date, commitkey, author, description, filesModified, filesAdded, filesDeleted):
self.date = date
sel... | tools/commit.py | import jsonpickle, csv
class Commit(object):
date = ""
commitkey = ""
author = ""
description = ""
filesModified = []
filesAdded = []
filesDeleted = []
def __init__(self, date, commitkey, author, description, filesModified, filesAdded, filesDeleted):
self.date = date
sel... | 0.14777 | 0.067301 |
import math
import pyglet
from pyglet.gl import *
from .shape import Shape
class Triangle(Shape):
''' Triangle shape.
This is a class for rendering a triangle.
'''
# _________________________________________________________________ __init__
def __init__(self, direction='up', *args, **kwargs):
... | PyWidget3/shape/triangle.py | import math
import pyglet
from pyglet.gl import *
from .shape import Shape
class Triangle(Shape):
''' Triangle shape.
This is a class for rendering a triangle.
'''
# _________________________________________________________________ __init__
def __init__(self, direction='up', *args, **kwargs):
... | 0.747339 | 0.40489 |
from cryptography import x509
from cryptography.hazmat.backends.openssl.decode_asn1 import (
_DISTPOINT_TYPE_FULLNAME,
_DISTPOINT_TYPE_RELATIVENAME,
)
from cryptography.x509.name import _ASN1Type
from cryptography.x509.oid import ExtensionOID
def _encode_asn1_int(backend, x):
"""
Converts a python i... | src/cryptography/hazmat/backends/openssl/encode_asn1.py |
from cryptography import x509
from cryptography.hazmat.backends.openssl.decode_asn1 import (
_DISTPOINT_TYPE_FULLNAME,
_DISTPOINT_TYPE_RELATIVENAME,
)
from cryptography.x509.name import _ASN1Type
from cryptography.x509.oid import ExtensionOID
def _encode_asn1_int(backend, x):
"""
Converts a python i... | 0.484868 | 0.225182 |
from __future__ import division, print_function
# Import Python modules
import os
import unittest
# Import Broadband modules
import cmp_bbp
import seqnum
import bband_utils
from install_cfg import InstallCfg
from wcc_siteamp_cfg import WccSiteampCfg
from wcc_siteamp import WccSiteamp
class TestWccSiteamp(unittest.Te... | bbp/tests/test_wcc_siteamp.py | from __future__ import division, print_function
# Import Python modules
import os
import unittest
# Import Broadband modules
import cmp_bbp
import seqnum
import bband_utils
from install_cfg import InstallCfg
from wcc_siteamp_cfg import WccSiteampCfg
from wcc_siteamp import WccSiteamp
class TestWccSiteamp(unittest.Te... | 0.342681 | 0.147647 |