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 |
|---|---|---|---|---|
from functools import total_ordering
from ipaddr import IPAddress
from itertools import ifilter
def is_rangestmt(x):
return isinstance(x, RangeStmt)
def join_p(xs, indent=1, prefix=''):
if not xs:
return ''
lines = "".join(map(str, xs)).splitlines()
prefix += ' ' * indent
return "".jo... | cyder/management/commands/lib/dhcpd_compare2/dhcp_objects.py | from functools import total_ordering
from ipaddr import IPAddress
from itertools import ifilter
def is_rangestmt(x):
return isinstance(x, RangeStmt)
def join_p(xs, indent=1, prefix=''):
if not xs:
return ''
lines = "".join(map(str, xs)).splitlines()
prefix += ' ' * indent
return "".jo... | 0.581422 | 0.174762 |
from unittest.mock import patch
from django.test import TestCase
from django.urls import reverse
from assignments.tests.factories import AssignmentFactory, PositionFactory
from assignments.views import AssignmentListView, BureauHeadquartersAssignmentListView
from personnel.tests.factories import EmployeeFactory
from ... | bureau/assignments/tests/test_views.py | from unittest.mock import patch
from django.test import TestCase
from django.urls import reverse
from assignments.tests.factories import AssignmentFactory, PositionFactory
from assignments.views import AssignmentListView, BureauHeadquartersAssignmentListView
from personnel.tests.factories import EmployeeFactory
from ... | 0.693784 | 0.475849 |
import argparse
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
import pickle
import numpy as np
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence
from torchvision import transforms
from data_loader import get_loader
from model import EncoderCNN, DecoderRNN
from build_vocab imp... | STREAM/train.py | import argparse
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
import pickle
import numpy as np
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence
from torchvision import transforms
from data_loader import get_loader
from model import EncoderCNN, DecoderRNN
from build_vocab imp... | 0.772015 | 0.281328 |
import copy
import arcpy
from StyleGalleryItemProvider import StyleGalleryItemProvider
from modules.arcGisModules import ArcGisModules
from dictionaries.label_dict import labelDict
from modules.functions import change_interface
from renderer.labelRenderer import LabelRenderer
class TextFormatCreator:
def __init_... | styleGalleryExport/TextFormatCreator.py | import copy
import arcpy
from StyleGalleryItemProvider import StyleGalleryItemProvider
from modules.arcGisModules import ArcGisModules
from dictionaries.label_dict import labelDict
from modules.functions import change_interface
from renderer.labelRenderer import LabelRenderer
class TextFormatCreator:
def __init_... | 0.511717 | 0.121921 |
import logging
from O365.connection import Connection
from O365.fluent_message import Message
log = logging.getLogger(__name__)
class FluentInbox(object):
url_dict = {
'inbox': {
'1.0': 'https://outlook.office365.com/api/v1.0/me/messages',
'2.0': 'https://graph.microsoft.com/v1.0... | O365/fluent_inbox.py | import logging
from O365.connection import Connection
from O365.fluent_message import Message
log = logging.getLogger(__name__)
class FluentInbox(object):
url_dict = {
'inbox': {
'1.0': 'https://outlook.office365.com/api/v1.0/me/messages',
'2.0': 'https://graph.microsoft.com/v1.0... | 0.721449 | 0.183319 |
"""Start an RPC server"""
import argparse
import logging
from .. import rpc
def main(args):
"""Main function
Parameters
----------
args : argparse.Namespace
parsed args from command-line invocation
"""
if args.tracker:
url, port = args.tracker.rsplit(":", 1)
port = int... | python/tvm/exec/rpc_server.py | """Start an RPC server"""
import argparse
import logging
from .. import rpc
def main(args):
"""Main function
Parameters
----------
args : argparse.Namespace
parsed args from command-line invocation
"""
if args.tracker:
url, port = args.tracker.rsplit(":", 1)
port = int... | 0.583203 | 0.177918 |
import os
import random
random.seed(int(os.getenv("SEED"), 16))
from prjxray import util
from prjxray import verilog
from prjxray.db import Database
def gen_sites():
db = Database(util.get_db_root())
grid = db.grid()
for tile_name in sorted(grid.tiles()):
gridinfo = grid.gridinfo_at_tilename(tile_... | fuzzers/005-tilegrid/mmcm/top.py | import os
import random
random.seed(int(os.getenv("SEED"), 16))
from prjxray import util
from prjxray import verilog
from prjxray.db import Database
def gen_sites():
db = Database(util.get_db_root())
grid = db.grid()
for tile_name in sorted(grid.tiles()):
gridinfo = grid.gridinfo_at_tilename(tile_... | 0.220762 | 0.190084 |
import numpy as np
import pandas as pd
import pyEpiabm as pe
from pyEpiabm.property import InfectionStatus
from pyEpiabm.utility import InverseCdf
class TransitionTimeMatrix:
"""Class to generate the matrix with transition times
"""
def __init__(self):
"""Initialises the transition time matrix t... | pyEpiabm/pyEpiabm/utility/transition_time_matrix.py |
import numpy as np
import pandas as pd
import pyEpiabm as pe
from pyEpiabm.property import InfectionStatus
from pyEpiabm.utility import InverseCdf
class TransitionTimeMatrix:
"""Class to generate the matrix with transition times
"""
def __init__(self):
"""Initialises the transition time matrix t... | 0.869853 | 0.639947 |
from typing import Dict, Sequence, Union
from acme import types
from acme.adders.reverb import base
from acme.tf import utils as tf2_utils
import jax.numpy as jnp
import numpy as np
import tree
def zeros_like(x: Union[np.ndarray, int, float, np.number]):
"""Returns a zero-filled object of the same (d)type and shap... | acme/adders/reverb/utils.py | from typing import Dict, Sequence, Union
from acme import types
from acme.adders.reverb import base
from acme.tf import utils as tf2_utils
import jax.numpy as jnp
import numpy as np
import tree
def zeros_like(x: Union[np.ndarray, int, float, np.number]):
"""Returns a zero-filled object of the same (d)type and shap... | 0.968486 | 0.637412 |
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from app.components.utils import get_fields, get_states, get_schooling, get_sectors
header = html.Div(
[
dbc.NavbarSimple(
brand="PumsWager",
brand_href="/",
c... | app/components/layout.py | import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from app.components.utils import get_fields, get_states, get_schooling, get_sectors
header = html.Div(
[
dbc.NavbarSimple(
brand="PumsWager",
brand_href="/",
c... | 0.454956 | 0.168173 |
import ast
from collections import defaultdict
from typing import DefaultDict, List, Union
from typing_extensions import final
from wemake_python_styleguide import constants
from wemake_python_styleguide.logic.nodes import get_parent
from wemake_python_styleguide.logic.tree.functions import is_method
from wemake_pyth... | wemake_python_styleguide/visitors/ast/complexity/counts.py | import ast
from collections import defaultdict
from typing import DefaultDict, List, Union
from typing_extensions import final
from wemake_python_styleguide import constants
from wemake_python_styleguide.logic.nodes import get_parent
from wemake_python_styleguide.logic.tree.functions import is_method
from wemake_pyth... | 0.872375 | 0.211661 |
import numpy as np
import scipy.io.wavfile as wav
import librosa
import os,sys,shutil,argparse,copy,pickle
import math,scipy
from faceformer import Faceformer
from transformers import Wav2Vec2FeatureExtractor,Wav2Vec2Processor
import torch
import torch.nn as nn
import torch.nn.functional as F
import cv2
import tempfi... | demo.py | import numpy as np
import scipy.io.wavfile as wav
import librosa
import os,sys,shutil,argparse,copy,pickle
import math,scipy
from faceformer import Faceformer
from transformers import Wav2Vec2FeatureExtractor,Wav2Vec2Processor
import torch
import torch.nn as nn
import torch.nn.functional as F
import cv2
import tempfi... | 0.580709 | 0.331039 |
import pytest
try:
from disnake.ext import commands
from bots.discord import helpers
except ImportError:
pytest.skip(allow_module_level=True)
# pylint: disable=R0903,W0212
@pytest.mark.bots
def test_missing_sequential():
test = helpers._MissingSentinel()
assert test.__eq__("hello") is False
... | tests/bots/discord/test_helpers.py | import pytest
try:
from disnake.ext import commands
from bots.discord import helpers
except ImportError:
pytest.skip(allow_module_level=True)
# pylint: disable=R0903,W0212
@pytest.mark.bots
def test_missing_sequential():
test = helpers._MissingSentinel()
assert test.__eq__("hello") is False
... | 0.471223 | 0.398055 |
import re
import sys
class Cart:
def __init__(self, x, y, direction):
global g_id
self.x = x
self.y = y
self.position = (x, y)
self.last_position = (x, y)
self.direction = direction
self.next_turn = 'l'
self.id = g_id
g_id += 1
def set_x... | day-13.py | import re
import sys
class Cart:
def __init__(self, x, y, direction):
global g_id
self.x = x
self.y = y
self.position = (x, y)
self.last_position = (x, y)
self.direction = direction
self.next_turn = 'l'
self.id = g_id
g_id += 1
def set_x... | 0.145661 | 0.439026 |
import numpy as np
import astropy.units as u
from astropy.visualization import quantity_support
from gammapy.maps import MapAxis, MapAxes
from .core import IRF
__all__ = ["EffectiveAreaTable2D"]
class EffectiveAreaTable2D(IRF):
"""2D effective area table.
Data format specification: :ref:`gadf:aeff_2d`
... | gammapy/irf/effective_area.py | import numpy as np
import astropy.units as u
from astropy.visualization import quantity_support
from gammapy.maps import MapAxis, MapAxes
from .core import IRF
__all__ = ["EffectiveAreaTable2D"]
class EffectiveAreaTable2D(IRF):
"""2D effective area table.
Data format specification: :ref:`gadf:aeff_2d`
... | 0.943595 | 0.556821 |
import os.path as osp
from mmcv.runner.hooks import EvalHook, DistEvalHook
class MyEvalHook(EvalHook):
def _save_ckpt(self, runner, key_score):
"""Save the best checkpoint.
It will compare the score according to the compare function, write
related information (best score, best checkpoint... | mmcls/core/evaluation/eval_hooks.py | import os.path as osp
from mmcv.runner.hooks import EvalHook, DistEvalHook
class MyEvalHook(EvalHook):
def _save_ckpt(self, runner, key_score):
"""Save the best checkpoint.
It will compare the score according to the compare function, write
related information (best score, best checkpoint... | 0.535098 | 0.151153 |
from contextlib import asynccontextmanager
from logging import getLogger
from os import environ
import aiohttp
import base64
from trustpilot import auth, utils
logger = getLogger("trustpilot.async_client")
class TrustpilotAsyncSession:
__SUPPORTED_HTTP_METHODS = ["post", "get", "put", "delete"]
def __init_... | trustpilot/async_client.py | from contextlib import asynccontextmanager
from logging import getLogger
from os import environ
import aiohttp
import base64
from trustpilot import auth, utils
logger = getLogger("trustpilot.async_client")
class TrustpilotAsyncSession:
__SUPPORTED_HTTP_METHODS = ["post", "get", "put", "delete"]
def __init_... | 0.575588 | 0.05549 |
import os.path as op
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne.datasets import somato
from mne.baseline import rescale
from mne.stats import bootstrap_confidence_interval
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.met... | src/classifier/svm.py | import os.path as op
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne.datasets import somato
from mne.baseline import rescale
from mne.stats import bootstrap_confidence_interval
from sklearn.model_selection import train_test_split
from sklearn import svm
from sklearn.met... | 0.557966 | 0.382199 |
__author__ = '<NAME> (<EMAIL>)'
AVAILABILITY_AVAILABILITY_DESCRIPTION = """
Content defaults to the availability of the course, but may also be restricted
to admins (Private) or open to the public (Public).
"""
COURSE_WIDE_AVAILABILITY_DESCRIPTION = """
This sets the availability of the course for registered and unr... | modules/courses/messages.py | __author__ = '<NAME> (<EMAIL>)'
AVAILABILITY_AVAILABILITY_DESCRIPTION = """
Content defaults to the availability of the course, but may also be restricted
to admins (Private) or open to the public (Public).
"""
COURSE_WIDE_AVAILABILITY_DESCRIPTION = """
This sets the availability of the course for registered and unr... | 0.464902 | 0.36201 |
from pytype.tests import test_base
class FunctionCommentTest(test_base.TargetIndependentTest):
"""Tests for type comments."""
def testFunctionUnspecifiedArgs(self):
ty = self.Infer("""
def foo(x):
# type: (...) -> int
return x
""", deep=False)
self.assertTypesMatchPytd(ty, """
... | pytype/tests/test_type_comments.py |
from pytype.tests import test_base
class FunctionCommentTest(test_base.TargetIndependentTest):
"""Tests for type comments."""
def testFunctionUnspecifiedArgs(self):
ty = self.Infer("""
def foo(x):
# type: (...) -> int
return x
""", deep=False)
self.assertTypesMatchPytd(ty, """
... | 0.890336 | 0.594522 |
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2021 MSAM Lab - University of Waterloo"
__license__ = "BSD-3-Clause"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from typing import Any, List, Callable, Dict
from PyQt5.QtCore import QObject, QSettings, pyqtSlot, pyqtSignal
from PyQt5 import QtWidgets
import n... | versa3d/settings/versa3d_entry.py | __author__ = "<NAME>"
__copyright__ = "Copyright (c) 2021 MSAM Lab - University of Waterloo"
__license__ = "BSD-3-Clause"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
from typing import Any, List, Callable, Dict
from PyQt5.QtCore import QObject, QSettings, pyqtSlot, pyqtSignal
from PyQt5 import QtWidgets
import n... | 0.717309 | 0.082771 |
import ast
import re
import mock
import novaclient.exceptions as nova_ex
import six
from sahara.conductor import resource as r
from sahara.plugins.vanilla import plugin
import sahara.service.validation as v
from sahara.tests.unit import base
from sahara.tests.unit import testutils as tu
m = {}
_types_checks = {
... | sahara/tests/unit/service/validation/utils.py |
import ast
import re
import mock
import novaclient.exceptions as nova_ex
import six
from sahara.conductor import resource as r
from sahara.plugins.vanilla import plugin
import sahara.service.validation as v
from sahara.tests.unit import base
from sahara.tests.unit import testutils as tu
m = {}
_types_checks = {
... | 0.435541 | 0.136177 |
import unittest
import argparse
from sequ import *
import random
import sys
import time
class Sequ_TestCase(unittest.TestCase):
def setUp(self):
self.argLists = [['sequ','1','1','5'],
['sequ','1','5'],
['sequ','-1'],
['sequ','5'],
... | src/sequ_test.py |
import unittest
import argparse
from sequ import *
import random
import sys
import time
class Sequ_TestCase(unittest.TestCase):
def setUp(self):
self.argLists = [['sequ','1','1','5'],
['sequ','1','5'],
['sequ','-1'],
['sequ','5'],
... | 0.176743 | 0.11928 |
from flatdict import FlatDict
from openpnm.io import Dict, GenericIO
from openpnm.utils import logging
logger = logging.getLogger(__name__)
class HDF5(GenericIO):
r"""
The HDF5 (Hierarchical Data Format) file is good for high-peformance, long
term data storage
"""
@classmethod
def export_data... | openpnm/io/_hdf5.py | from flatdict import FlatDict
from openpnm.io import Dict, GenericIO
from openpnm.utils import logging
logger = logging.getLogger(__name__)
class HDF5(GenericIO):
r"""
The HDF5 (Hierarchical Data Format) file is good for high-peformance, long
term data storage
"""
@classmethod
def export_data... | 0.826011 | 0.5144 |
from pygame.compat import unicode_
THECOLORS = {
'gray17': (43, 43, 43, 255),
'gold': (255, 215, 0, 255),
'gray10': (26, 26, 26, 255),
'yellow': (255, 255, 0, 255),
'gray11': (28, 28, 28, 255),
'grey61': (156, 156, 156, 255),
'grey60': (153, 153, 153, 255),
'darkseagreen': (143, 188, 14... | src_py/colordict.py | from pygame.compat import unicode_
THECOLORS = {
'gray17': (43, 43, 43, 255),
'gold': (255, 215, 0, 255),
'gray10': (26, 26, 26, 255),
'yellow': (255, 255, 0, 255),
'gray11': (28, 28, 28, 255),
'grey61': (156, 156, 156, 255),
'grey60': (153, 153, 153, 255),
'darkseagreen': (143, 188, 14... | 0.553626 | 0.089177 |
import sys
import json
from z3 import *
def transpose(matrix):
t = []
for i in range(len(matrix[0])):
t += [[]]
for j in range(len(matrix)):
t[i] += [matrix[j][i]]
return t
def int_log(b, n):
p = 1
e = 0
while p <= n:
p *= b
e += 1
return e - 1... | solvability-prover.py |
import sys
import json
from z3 import *
def transpose(matrix):
t = []
for i in range(len(matrix[0])):
t += [[]]
for j in range(len(matrix)):
t[i] += [matrix[j][i]]
return t
def int_log(b, n):
p = 1
e = 0
while p <= n:
p *= b
e += 1
return e - 1... | 0.129375 | 0.305386 |
import os
from pathlib import Path
import joblib
import pandas as pd
import numpy as np
from multiprocessing import Pool
from collections import defaultdict
import functools
import re
import sys
sys.path.insert(0, './code')
from utils import DataLogger # noqa: E402
class DataNotFoundException(Exception):
pa... | code/dataloader.py | import os
from pathlib import Path
import joblib
import pandas as pd
import numpy as np
from multiprocessing import Pool
from collections import defaultdict
import functools
import re
import sys
sys.path.insert(0, './code')
from utils import DataLogger # noqa: E402
class DataNotFoundException(Exception):
pa... | 0.392453 | 0.196556 |
# make sure PYTHONPATH includes the home directory if you didn't install
import multiprocessing as multiproc
import sys
import gunicorn.app.base
from oslo_config import cfg
from oslo_reports import guru_meditation_report as gmr
from octavia.amphorae.backends.agent.api_server import server
from octavia.amphorae.back... | octavia/cmd/agent.py |
# make sure PYTHONPATH includes the home directory if you didn't install
import multiprocessing as multiproc
import sys
import gunicorn.app.base
from oslo_config import cfg
from oslo_reports import guru_meditation_report as gmr
from octavia.amphorae.backends.agent.api_server import server
from octavia.amphorae.back... | 0.298185 | 0.052887 |
import sys
import os
import pickle
def main(argv):
# folder for saving
foldname = argv[1]
if not os.path.exists(foldname):
os.mkdir(foldname)
# load dichotomous labels
fnames = ['est_l1.pkl','est_l2.pkl','est_l3.pkl','est_l4.pkl','est_l5.pkl']
# l1
with open(os.path.join(foldname, ... | utils/getEstLabel.py | import sys
import os
import pickle
def main(argv):
# folder for saving
foldname = argv[1]
if not os.path.exists(foldname):
os.mkdir(foldname)
# load dichotomous labels
fnames = ['est_l1.pkl','est_l2.pkl','est_l3.pkl','est_l4.pkl','est_l5.pkl']
# l1
with open(os.path.join(foldname, ... | 0.074857 | 0.310185 |
import pytest
from django.urls import reverse
from django_elasticsearch_dsl.registries import registry
from api.documents.message import MessageDocument
from core.tests import factories
@pytest.fixture(scope="function", autouse=True)
def elasticsearch(request):
registry.register_document(MessageDocument)
d... | api/tests/search/conftest.py | import pytest
from django.urls import reverse
from django_elasticsearch_dsl.registries import registry
from api.documents.message import MessageDocument
from core.tests import factories
@pytest.fixture(scope="function", autouse=True)
def elasticsearch(request):
registry.register_document(MessageDocument)
d... | 0.343562 | 0.353568 |
import tensorflow as tf
from phash.model import phash_avg_tf, phash_dct_tf, compare_hash
from utils import *
TYPE = "avg"
if __name__ == '__main__':
np.random.seed(0)
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('target_logo', type=str)
parser.add_argument('output_dir'... | element-frame-based/phash/attack_false_positive.py | import tensorflow as tf
from phash.model import phash_avg_tf, phash_dct_tf, compare_hash
from utils import *
TYPE = "avg"
if __name__ == '__main__':
np.random.seed(0)
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('target_logo', type=str)
parser.add_argument('output_dir'... | 0.562777 | 0.250489 |
import json
from openeo_grass_gis_driver.models.process_graph_schemas import \
ProcessGraphNode, ProcessGraph
from openeo_grass_gis_driver.actinia_processing.base import \
Node, check_node_parents, DataObject, GrassDataType, \
create_output_name
from openeo_grass_gis_driver.actinia_processing.base impor... | src/openeo_grass_gis_driver/actinia_processing/run_udf_process.py | import json
from openeo_grass_gis_driver.models.process_graph_schemas import \
ProcessGraphNode, ProcessGraph
from openeo_grass_gis_driver.actinia_processing.base import \
Node, check_node_parents, DataObject, GrassDataType, \
create_output_name
from openeo_grass_gis_driver.actinia_processing.base impor... | 0.730386 | 0.320369 |
import numpy as np
from scipy.spatial.qhull import ConvexHull, QhullError
# this two functions are from
# https://stackoverflow.com/questions/37117878/generating-a-filled-polygon-inside-a-numpy-array/37123933#37123933
def check(p1, p2, idxs):
"""
Uses the line defined by p1 and p2 to check array of
input... | package/PartSegCore/convex_fill.py | import numpy as np
from scipy.spatial.qhull import ConvexHull, QhullError
# this two functions are from
# https://stackoverflow.com/questions/37117878/generating-a-filled-polygon-inside-a-numpy-array/37123933#37123933
def check(p1, p2, idxs):
"""
Uses the line defined by p1 and p2 to check array of
input... | 0.701304 | 0.654343 |
from n2v.models import N2VConfig, N2V
import numpy as np
from csbdeep.utils import plot_history
from n2v.utils.n2v_utils import manipulate_val_data
from n2v.internals.N2V_DataGenerator import N2V_DataGenerator
from matplotlib import pyplot as plt
import urllib.request
import os
import zipfile
# create a folder for our... | tests/functional/test_training2D_RGB.py | from n2v.models import N2VConfig, N2V
import numpy as np
from csbdeep.utils import plot_history
from n2v.utils.n2v_utils import manipulate_val_data
from n2v.internals.N2V_DataGenerator import N2V_DataGenerator
from matplotlib import pyplot as plt
import urllib.request
import os
import zipfile
# create a folder for our... | 0.489748 | 0.542318 |
# system modules
import os
import sys
import argparse
# image module
from PIL import Image
# numpy module
import numpy as np
# tensorflow module
import tensorflow as tf
class OptionParser():
def __init__(self):
"User based option parser"
self.parser = argparse.ArgumentParser(prog='PROG')
... | img2tfrecs.py | # system modules
import os
import sys
import argparse
# image module
from PIL import Image
# numpy module
import numpy as np
# tensorflow module
import tensorflow as tf
class OptionParser():
def __init__(self):
"User based option parser"
self.parser = argparse.ArgumentParser(prog='PROG')
... | 0.336876 | 0.153486 |
import discord
import asyncio
from discord.ext import commands
from discord.utils import escape_markdown
from humanfriendly import format_timespan
from typing import Optional, Union
from cogs_hidden.automod import (
am_add_badwords, am_disable_modules, am_enable_a_module,
am_enable_module_dropdown, am_remove_b... | cogs/mod.py | User Warned: {self.client.get_user(ah_yes['user_id'])}
Moderator: {self.client.get_user(ah_yes['moderator'])}
Reason: {ah_yes['reason']}
Moderator: {self.client.get_user(e['moderator'])}
Reason: {e['reason']}
Moderator: {self.client.get_user(e['moderator'])}
Reason: {e['reason']} | 0.297674 | 0.133641 |
from vh_fst import FST
from vh_patterns_dataset import vh_dataset
from processors import preprocess, postprocess, split_word_components
from unicode_variable_repr import *
def run_test_on_strings(input_list, output_list, object):
for i in range(len(input_list)):
string = input_list[i]
word_as_list,... | tests/test_fst.py | from vh_fst import FST
from vh_patterns_dataset import vh_dataset
from processors import preprocess, postprocess, split_word_components
from unicode_variable_repr import *
def run_test_on_strings(input_list, output_list, object):
for i in range(len(input_list)):
string = input_list[i]
word_as_list,... | 0.416915 | 0.37542 |
from __future__ import annotations
import shlex
import string
from os import getenv
from pathlib import Path
from typing import Any, Callable
import requests
from requests.sessions import PreparedRequest
from rich import print
from rich.panel import Panel
from rich.prompt import InvalidResponse
from ideaseed.utils i... | ideaseed/config_wizard.py | from __future__ import annotations
import shlex
import string
from os import getenv
from pathlib import Path
from typing import Any, Callable
import requests
from requests.sessions import PreparedRequest
from rich import print
from rich.panel import Panel
from rich.prompt import InvalidResponse
from ideaseed.utils i... | 0.742328 | 0.185707 |
import hashlib
class ConsistentHash:
def __init__(self, replicas_num):
self.replicas_num = replicas_num
self.ring = {}
self.sorted_keys=[]
def add_node(self, node):
"""Adds a `node` to the hash ring (including a number of replicas).
"""
for i in range(self.repl... | python/mocores/core/util/consistent_hash.py | import hashlib
class ConsistentHash:
def __init__(self, replicas_num):
self.replicas_num = replicas_num
self.ring = {}
self.sorted_keys=[]
def add_node(self, node):
"""Adds a `node` to the hash ring (including a number of replicas).
"""
for i in range(self.repl... | 0.77907 | 0.351617 |
"""Chevy Volt trip mode."""
import os
import time
import struct
from typing import List, Union
from panda import Panda
import PySimpleGUI as sg
DEFAULT_SPEED_THRESHOLD = 50
class CarState:
"""Store the current speed and drive mode."""
#: Cooldown for mode switching
MODE_SWITCH_COOLDOWN = 60.0
#: Do... | tripmode.py | """Chevy Volt trip mode."""
import os
import time
import struct
from typing import List, Union
from panda import Panda
import PySimpleGUI as sg
DEFAULT_SPEED_THRESHOLD = 50
class CarState:
"""Store the current speed and drive mode."""
#: Cooldown for mode switching
MODE_SWITCH_COOLDOWN = 60.0
#: Do... | 0.820649 | 0.245605 |
## Matemática Discreta
A matemática é uma ciência fundamental para qualquer formação ligada à computação, à informática e, em nosso caso, à ciência e análise de dados. Porém, a característica distintiva da matemática realizada pelas máquinas é a finitude. Isto é, enquanto a matemática tradicional que aprendemos é cap... | _build/jupyter_execute/ipynb/03a-matematica-discreta.py | templ = '{0} {1} ... {n}'.format(arg0,arg1,...,argn)
help('FORMATTING')
for valor in sequencia:
# faça algo com valor
if condição:
# faça algo
while condicao:
# faça isso
# atualize condicao
map(funcao,sequencia) | 0.310381 | 0.946547 |
from enum import Enum
from typing import List, Mapping, Optional
import requests
from pydantic import BaseModel, Extra, Field
from . import consts
class CollectionModel(BaseModel):
__root__: str
class Config:
extra = Extra.forbid
class CollectionVersionConstraintModel(BaseModel):
__root__: st... | src/ansibleschemas/galaxy.py | from enum import Enum
from typing import List, Mapping, Optional
import requests
from pydantic import BaseModel, Extra, Field
from . import consts
class CollectionModel(BaseModel):
__root__: str
class Config:
extra = Extra.forbid
class CollectionVersionConstraintModel(BaseModel):
__root__: st... | 0.736874 | 0.130285 |
from prompt_toolkit.application import get_app
from prompt_toolkit.document import Document
from prompt_toolkit.enums import DEFAULT_BUFFER
from prompt_toolkit.filters import (
Condition,
emacs_insert_mode,
emacs_mode,
has_focus,
has_selection,
vi_insert_mode,
)
from prompt_toolkit.key_binding i... | ptpython/key_bindings.py | from prompt_toolkit.application import get_app
from prompt_toolkit.document import Document
from prompt_toolkit.enums import DEFAULT_BUFFER
from prompt_toolkit.filters import (
Condition,
emacs_insert_mode,
emacs_mode,
has_focus,
has_selection,
vi_insert_mode,
)
from prompt_toolkit.key_binding i... | 0.493409 | 0.160299 |
import connexion
import six
from swagger_server.models.request_info import RequestInfo # noqa: E501
from swagger_server.models.rule import Rule # noqa: E501
from swagger_server import util
from swagger_server.__globals__ import _globals
def add_rule(Rule): # noqa: E501
"""Add a Rule
# noqa: E501
:p... | swagger_server/controllers/rules_controller.py | import connexion
import six
from swagger_server.models.request_info import RequestInfo # noqa: E501
from swagger_server.models.rule import Rule # noqa: E501
from swagger_server import util
from swagger_server.__globals__ import _globals
def add_rule(Rule): # noqa: E501
"""Add a Rule
# noqa: E501
:p... | 0.451568 | 0.095349 |
import imp
ledCount = 0
# the data as set in the hypercon application
# horizontal = 0
# vertical = 0
# first_led_offset = 0
# clockwise_direction = False
# corner_leds = False
leds = None
leds_top = None
leds_right = None
leds_bottom = None
leds_left = None
clockwise = False
# the dictionary the hyperion effect wil... | app/hyperion.py | import imp
ledCount = 0
# the data as set in the hypercon application
# horizontal = 0
# vertical = 0
# first_led_offset = 0
# clockwise_direction = False
# corner_leds = False
leds = None
leds_top = None
leds_right = None
leds_bottom = None
leds_left = None
clockwise = False
# the dictionary the hyperion effect wil... | 0.483892 | 0.119229 |
from __future__ import print_function, unicode_literals, absolute_import
import json
import logging
import os
import re
from contextlib import contextmanager
from six import string_types
from .constants import DOCKERFILE_FILENAME, COMMENT_INSTRUCTION
from .util import (b2u, extract_labels_or_envs, get_key_val_diction... | dockerfile_parse/parser.py | from __future__ import print_function, unicode_literals, absolute_import
import json
import logging
import os
import re
from contextlib import contextmanager
from six import string_types
from .constants import DOCKERFILE_FILENAME, COMMENT_INSTRUCTION
from .util import (b2u, extract_labels_or_envs, get_key_val_diction... | 0.578329 | 0.131006 |
from dataclasses import dataclass
from datetime import date, datetime
from decimal import Decimal
from typing import List, Optional, Union
from dateutil.parser import parse
from dateutil.relativedelta import relativedelta
from .base import Model, ZGWModel, factory
@dataclass
class Catalogus(ZGWModel):
url: str
... | zgw_consumers/api_models/catalogi.py | from dataclasses import dataclass
from datetime import date, datetime
from decimal import Decimal
from typing import List, Optional, Union
from dateutil.parser import parse
from dateutil.relativedelta import relativedelta
from .base import Model, ZGWModel, factory
@dataclass
class Catalogus(ZGWModel):
url: str
... | 0.862207 | 0.295444 |
from __future__ import annotations
from typing import Generator, NoReturn
class StdReader:
def __init__(
self,
) -> NoReturn:
import sys
self.buf = sys.stdin.buffer
self.lines = self.async_readlines()
self.chunks: Generator
def async_readlines(
self,
... | jp.atcoder/abc015/abc015_4/21878928.py | from __future__ import annotations
from typing import Generator, NoReturn
class StdReader:
def __init__(
self,
) -> NoReturn:
import sys
self.buf = sys.stdin.buffer
self.lines = self.async_readlines()
self.chunks: Generator
def async_readlines(
self,
... | 0.692018 | 0.231028 |
import unittest
import mock
from tests import data
from thriftcli import ThriftCLIError
from thriftcli.thrift_zookeeper_resolver import get_server_address, _get_znode_from_zookeeper_host
class TestThriftZookeeperResolver(unittest.TestCase):
@mock.patch('thriftcli.thrift_zookeeper_resolver._get_znode_from_zooke... | tests/test_thrift_zookeeper_resolver.py |
import unittest
import mock
from tests import data
from thriftcli import ThriftCLIError
from thriftcli.thrift_zookeeper_resolver import get_server_address, _get_znode_from_zookeeper_host
class TestThriftZookeeperResolver(unittest.TestCase):
@mock.patch('thriftcli.thrift_zookeeper_resolver._get_znode_from_zooke... | 0.591959 | 0.27564 |
from tempest_lib.common.utils import data_utils as utils
from tempest.api.volume import base
from tempest import test
class QosSpecsV2TestJSON(base.BaseVolumeAdminTest):
"""Test the Cinder QoS-specs.
Tests for create, list, delete, show, associate,
disassociate, set/unset key V2 APIs.
"""
@cl... | tempest/api/volume/test_qos.py |
from tempest_lib.common.utils import data_utils as utils
from tempest.api.volume import base
from tempest import test
class QosSpecsV2TestJSON(base.BaseVolumeAdminTest):
"""Test the Cinder QoS-specs.
Tests for create, list, delete, show, associate,
disassociate, set/unset key V2 APIs.
"""
@cl... | 0.623148 | 0.273411 |
from load import ROOT as R
from gna.unittest import *
from gna import constructors as C
from gna import context
import numpy as np
@floatcopy(globals())
def test_typeclass_same_v01():
"""All inputs have same types"""
arrays = [np.arange(12, dtype='d').reshape(3,4) for i in range(5)]
points = [C.Points(a)... | tests/unit/core/test_typeclasses_same.py |
from load import ROOT as R
from gna.unittest import *
from gna import constructors as C
from gna import context
import numpy as np
@floatcopy(globals())
def test_typeclass_same_v01():
"""All inputs have same types"""
arrays = [np.arange(12, dtype='d').reshape(3,4) for i in range(5)]
points = [C.Points(a)... | 0.672869 | 0.463141 |
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from urllib.request import urlopen, Request
from selenium.webdriver.chrome.options import Options
import time
import os
class TwitterBot:
def __init__(self, driver_path):
self.driver = webdriver.Chrome(executable_... | Codes/Day-092/Twitter_Image_Downloader/twitter_bot.py | from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from urllib.request import urlopen, Request
from selenium.webdriver.chrome.options import Options
import time
import os
class TwitterBot:
def __init__(self, driver_path):
self.driver = webdriver.Chrome(executable_... | 0.422266 | 0.093969 |
import discord
import logging
from database.model import GuildRoles
from discord.ext import commands
from utilities.event import RoleEvent
from utilities.member import MemberError, get_member_by_id
from utilities.role import Role, RoleError, get_role_by_id, check_for_role
log = logging.getLogger(__name__)
class Role... | cogs/roles.py | import discord
import logging
from database.model import GuildRoles
from discord.ext import commands
from utilities.event import RoleEvent
from utilities.member import MemberError, get_member_by_id
from utilities.role import Role, RoleError, get_role_by_id, check_for_role
log = logging.getLogger(__name__)
class Role... | 0.45423 | 0.075312 |
import os
import warnings
from bento.core.pkg_objects \
import \
Extension
from bento.core.node \
import \
split_path
def translate_name(name, ref_node, from_node):
if from_node != ref_node:
parent_pkg = ref_node.path_from(from_node).replace(os.sep, ".")
return ".".join([p... | bento/core/node_package.py | import os
import warnings
from bento.core.pkg_objects \
import \
Extension
from bento.core.node \
import \
split_path
def translate_name(name, ref_node, from_node):
if from_node != ref_node:
parent_pkg = ref_node.path_from(from_node).replace(os.sep, ".")
return ".".join([p... | 0.374448 | 0.103885 |
import unittest
import pickle
import sys
from test import support
py_operator = support.import_fresh_module('operator', blocked=['_operator'])
c_operator = support.import_fresh_module('operator', fresh=['_operator'])
class Seq1:
def __init__(self, lst):
self.lst = lst
def __len__(self):
retur... | graalpython/lib-python/3/test/test_operator.py | import unittest
import pickle
import sys
from test import support
py_operator = support.import_fresh_module('operator', blocked=['_operator'])
c_operator = support.import_fresh_module('operator', fresh=['_operator'])
class Seq1:
def __init__(self, lst):
self.lst = lst
def __len__(self):
retur... | 0.449876 | 0.548734 |
from onvif.exceptions import ONVIFError
from zeep.exceptions import Fault
from homeassistant import config_entries, data_entry_flow
from homeassistant.components.onvif import config_flow
from tests.async_mock import AsyncMock, MagicMock, patch
from tests.common import MockConfigEntry
URN = "urn:uuid:123456789"
NAME ... | tests/components/onvif/test_config_flow.py | from onvif.exceptions import ONVIFError
from zeep.exceptions import Fault
from homeassistant import config_entries, data_entry_flow
from homeassistant.components.onvif import config_flow
from tests.async_mock import AsyncMock, MagicMock, patch
from tests.common import MockConfigEntry
URN = "urn:uuid:123456789"
NAME ... | 0.636127 | 0.136234 |
import datetime
import hashlib
import os
import re
import time
from shutil import copyfile
from PyQt6 import QtGui
from helper.config_helper import ConfigHelper
class FileHelper:
@staticmethod
def get_file_extension(file_path):
return os.path.splitext(file_path)[-1]
@staticmethod
def time... | helper/file_helper.py | import datetime
import hashlib
import os
import re
import time
from shutil import copyfile
from PyQt6 import QtGui
from helper.config_helper import ConfigHelper
class FileHelper:
@staticmethod
def get_file_extension(file_path):
return os.path.splitext(file_path)[-1]
@staticmethod
def time... | 0.385606 | 0.129183 |
import pprint
import re # noqa: F401
import six
class CreateCompatibilitiesClassActiveItemResponseMerge(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute nam... | isi_sdk_8_1_0/isi_sdk_8_1_0/models/create_compatibilities_class_active_item_response_merge.py | import pprint
import re # noqa: F401
import six
class CreateCompatibilitiesClassActiveItemResponseMerge(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute nam... | 0.760117 | 0.145025 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import argparse
import time
import numpy as np
import tensorflow as tf
import sigpy.mri
from tqdm import tqdm
from matplotlib import pyplot
import model
import data
from utils import mri
from utils ... | recon_run.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import argparse
import time
import numpy as np
import tensorflow as tf
import sigpy.mri
from tqdm import tqdm
from matplotlib import pyplot
import model
import data
from utils import mri
from utils ... | 0.758466 | 0.172904 |
from unittest.mock import Mock
import colander
import pytest
from pyramid.exceptions import BadCSRFToken
from h.schemas.forms.accounts import LoginSchema
from h.services.user import UserNotActivated
from h.services.user_password import UserPasswordService
@pytest.mark.usefixtures("user_service", "user_password_serv... | tests/h/schemas/forms/accounts/login_test.py | from unittest.mock import Mock
import colander
import pytest
from pyramid.exceptions import BadCSRFToken
from h.schemas.forms.accounts import LoginSchema
from h.services.user import UserNotActivated
from h.services.user_password import UserPasswordService
@pytest.mark.usefixtures("user_service", "user_password_serv... | 0.675978 | 0.411466 |
import asyncio
import unittest
from unittest.mock import patch
from os import environ, path, devnull
import socket
from time import sleep
from subprocess import Popen
from sap.xssec import jwt_validation_facade, constants
from sap import xssec
from tests import uaa_configs
from tests import jwt_payloads
from tests.jwt_... | tests/test_req_token.py | import asyncio
import unittest
from unittest.mock import patch
from os import environ, path, devnull
import socket
from time import sleep
from subprocess import Popen
from sap.xssec import jwt_validation_facade, constants
from sap import xssec
from tests import uaa_configs
from tests import jwt_payloads
from tests.jwt_... | 0.334263 | 0.10618 |
import os
import sys
import unittest2 as unittest
from celery import task
from celery import loaders
from celery.loaders import base
from celery.loaders import djangoapp
from celery.loaders import default
from celery.tests.utils import with_environ
class TestLoaders(unittest.TestCase):
def test_get_loader_cls(... | celery/tests/test_loaders.py | import os
import sys
import unittest2 as unittest
from celery import task
from celery import loaders
from celery.loaders import base
from celery.loaders import djangoapp
from celery.loaders import default
from celery.tests.utils import with_environ
class TestLoaders(unittest.TestCase):
def test_get_loader_cls(... | 0.309232 | 0.230313 |
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
import logging
from pathlib import Path
import shutil
from tempfile import TemporaryDirectory
import numpy as np
from phylib.stats.clusters import ... | phy/apps/kwik/gui.py | #------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
import logging
from pathlib import Path
import shutil
from tempfile import TemporaryDirectory
import numpy as np
from phylib.stats.clusters import ... | 0.762247 | 0.211804 |
import urllib.parse
import os
import re
from xdict import utils
import elist.elist as elel
def get_origin(url):
rslt = urllib.parse.urlparse(url)
origin = rslt.scheme +'://'+rslt.netloc
return(origin)
def get_base_url(url):
temp = urllib.parse.urlparse(url)
netloc = temp.netlo... | navegador5/url_tool.py | import urllib.parse
import os
import re
from xdict import utils
import elist.elist as elel
def get_origin(url):
rslt = urllib.parse.urlparse(url)
origin = rslt.scheme +'://'+rslt.netloc
return(origin)
def get_base_url(url):
temp = urllib.parse.urlparse(url)
netloc = temp.netlo... | 0.126071 | 0.066055 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | alameda_api/v1alpha1/datahub/schemas/schemas_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | 0.185209 | 0.087876 |
import time
import sys
sys.path.append("..")
import database.db_operator as db_operator
class DataMinerCommonIndexOperator:
# 对数据库中指数信息的通用操作
def __init__(self):
pass
'''
def get_index_constitute_stocks(self, index_code):
# 获取数据库中的指数最新的构成股和比例
# param: index_code 指数代码，如 399997... | data_miner/data_miner_common_index_operator.py | import time
import sys
sys.path.append("..")
import database.db_operator as db_operator
class DataMinerCommonIndexOperator:
# 对数据库中指数信息的通用操作
def __init__(self):
pass
'''
def get_index_constitute_stocks(self, index_code):
# 获取数据库中的指数最新的构成股和比例
# param: index_code 指数代码，如 399997... | 0.142679 | 0.154472 |
from __future__ import print_function
#pylint: disable=useless-object-inheritance
class Populele(object):
"""Base class for a Populele object."""
NB_ROWS = 4
NB_COLS = 18
LED_ON = 0xFF
LED_OFF = 0x00
def ShowFrame(self):
"""Displays the state of the LEDs on the Populele fretboard."""
raise Not... | populele.py |
from __future__ import print_function
#pylint: disable=useless-object-inheritance
class Populele(object):
"""Base class for a Populele object."""
NB_ROWS = 4
NB_COLS = 18
LED_ON = 0xFF
LED_OFF = 0x00
def ShowFrame(self):
"""Displays the state of the LEDs on the Populele fretboard."""
raise Not... | 0.876608 | 0.526343 |
class GeneralSolution:
class Position:
def __init__(self,Point_x,Point_y):
self.Point_x = Point_x
self.Point_y = Point_y
def __eq__(self,other):
return self.Point_x == other.Point_x and self.Point_y == other.Point_y
def __ne__(self,other):
... | Parciales/examen_3/P13_SettlersofCatan_i.py |
class GeneralSolution:
class Position:
def __init__(self,Point_x,Point_y):
self.Point_x = Point_x
self.Point_y = Point_y
def __eq__(self,other):
return self.Point_x == other.Point_x and self.Point_y == other.Point_y
def __ne__(self,other):
... | 0.731538 | 0.442516 |
import pybamm
import numpy as np
import matplotlib.pyplot as plt
import sys
# set logging level and increase recursion limit
pybamm.set_logging_level("INFO")
sys.setrecursionlimit(10000)
# load models
models = [
pybamm.lithium_ion.SPM(name="1D SPM"),
pybamm.lithium_ion.SPMe(name="1D SPMe"),
pybamm.lithium... | results/2plus1D/compare_lithium_ion_2plus1D.py | import pybamm
import numpy as np
import matplotlib.pyplot as plt
import sys
# set logging level and increase recursion limit
pybamm.set_logging_level("INFO")
sys.setrecursionlimit(10000)
# load models
models = [
pybamm.lithium_ion.SPM(name="1D SPM"),
pybamm.lithium_ion.SPMe(name="1D SPMe"),
pybamm.lithium... | 0.466603 | 0.807688 |
import unittest
from quaternion import Quaternion
class TestQuaternion(unittest.TestCase):
def test_repr(self):
self.assertEqual(repr(Quaternion(1, 0, 0, 0)), "1")
self.assertEqual(repr(Quaternion(0, 2, 0, 0)), "2i")
self.assertEqual(repr(Quaternion(0, 0, 3, 0)), "3j")
self.assert... | test_quaternion.py | import unittest
from quaternion import Quaternion
class TestQuaternion(unittest.TestCase):
def test_repr(self):
self.assertEqual(repr(Quaternion(1, 0, 0, 0)), "1")
self.assertEqual(repr(Quaternion(0, 2, 0, 0)), "2i")
self.assertEqual(repr(Quaternion(0, 0, 3, 0)), "3j")
self.assert... | 0.669961 | 0.764474 |
import numpy as np
import pymc3 as pm
from sklearn.metrics import r2_score
import theano
import theano.tensor as T
from pymc3_models.exc import PyMC3ModelsError
from pymc3_models.models import BayesianModel
class LinearRegression(BayesianModel):
"""
Linear Regression built using PyMC3.
"""
def __ini... | pymc3_models/models/LinearRegression.py | import numpy as np
import pymc3 as pm
from sklearn.metrics import r2_score
import theano
import theano.tensor as T
from pymc3_models.exc import PyMC3ModelsError
from pymc3_models.models import BayesianModel
class LinearRegression(BayesianModel):
"""
Linear Regression built using PyMC3.
"""
def __ini... | 0.886322 | 0.708477 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from munch import munchify
from models.gpt_voice.lucidrains_gpt import Transformer
from models.tacotron2.taco_utils import get_mask_from_lengths
from models.tacotron2.text import symbols, sequence_to_text
from trainer.networks import register_model
fro... | codes/models/gpt_voice/gpt_audio_segmentor.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from munch import munchify
from models.gpt_voice.lucidrains_gpt import Transformer
from models.tacotron2.taco_utils import get_mask_from_lengths
from models.tacotron2.text import symbols, sequence_to_text
from trainer.networks import register_model
fro... | 0.896696 | 0.328772 |
__author__ = '<NAME>'
__date__ = '2021-01-12'
__copyright__ = '(C) 2021, <NAME>'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsWkbTypes,
QgsFields,
QgsField,
... | processing_provider/Rast_mosaicRaster.py | __author__ = '<NAME>'
__date__ = '2021-01-12'
__copyright__ = '(C) 2021, <NAME>'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsWkbTypes,
QgsFields,
QgsField,
... | 0.461988 | 0.157396 |
import logging
from itertools import combinations
from collections import defaultdict
import numpy as np
import scipy.spatial as spatial
from opensfm import bow
from opensfm import context
logger = logging.getLogger(__name__)
def has_gps_info(exif):
return (exif and
'gps' in exif and
'... | opensfm/pairs_selection.py | import logging
from itertools import combinations
from collections import defaultdict
import numpy as np
import scipy.spatial as spatial
from opensfm import bow
from opensfm import context
logger = logging.getLogger(__name__)
def has_gps_info(exif):
return (exif and
'gps' in exif and
'... | 0.708112 | 0.555073 |
from argparse import ArgumentParser
import os
import json
import sys
from tqdm import tqdm
import numpy as np
import torch
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
sys.path.append(".")
sys.path.append("..")
from criteria.lpips.lpips import LPIPS
from datasets.gt_res_dataset ... | scripts/calc_losses_on_images.py | from argparse import ArgumentParser
import os
import json
import sys
from tqdm import tqdm
import numpy as np
import torch
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
sys.path.append(".")
sys.path.append("..")
from criteria.lpips.lpips import LPIPS
from datasets.gt_res_dataset ... | 0.462716 | 0.1425 |
import os
import argparse
os.environ["OMP_NUM_THREADS"] = "1"
import numpy as np
import numpy.random as npr
import mimo
from mimo.distributions import NormalGamma
from mimo.distributions import MatrixNormalWishart
from mimo.distributions import GaussianWithNormalGamma
from mimo.distributions import LinearGaussianWit... | examples/ilr/toy/evaluate_sine.py | import os
import argparse
os.environ["OMP_NUM_THREADS"] = "1"
import numpy as np
import numpy.random as npr
import mimo
from mimo.distributions import NormalGamma
from mimo.distributions import MatrixNormalWishart
from mimo.distributions import GaussianWithNormalGamma
from mimo.distributions import LinearGaussianWit... | 0.619471 | 0.245051 |
from __future__ import absolute_import, division, print_function
import weakref
from glue.core import Data, Subset
from glue.core.hub import HubListener
from glue.core.message import (DataReorderComponentMessage,
ComponentsChangedMessage,
DataCollectionAd... | glue/core/data_combo_helper.py |
from __future__ import absolute_import, division, print_function
import weakref
from glue.core import Data, Subset
from glue.core.hub import HubListener
from glue.core.message import (DataReorderComponentMessage,
ComponentsChangedMessage,
DataCollectionAd... | 0.896385 | 0.444927 |
import os
import click
from click import Command, Group
from pystac import CatalogType, Item
from stactools.core.utils.antimeridian import Strategy
from stactools.landsat.stac import create_collection, create_stac_item
from stactools.landsat.utils import transform_stac_to_stac
def create_landsat_command(cli: Group)... | src/stactools/landsat/commands.py | import os
import click
from click import Command, Group
from pystac import CatalogType, Item
from stactools.core.utils.antimeridian import Strategy
from stactools.landsat.stac import create_collection, create_stac_item
from stactools.landsat.utils import transform_stac_to_stac
def create_landsat_command(cli: Group)... | 0.721449 | 0.251349 |
import torch
import torch.nn as nn
import random
import os
import numpy as np
from typing import Any, List, Mapping
from torch import Tensor
class AverageMeter(object):
def __init__(self) -> None:
self.reset()
def reset(self) -> None:
self.val = 0
self.avg = 0
self.sum = 0
... | utils.py | import torch
import torch.nn as nn
import random
import os
import numpy as np
from typing import Any, List, Mapping
from torch import Tensor
class AverageMeter(object):
def __init__(self) -> None:
self.reset()
def reset(self) -> None:
self.val = 0
self.avg = 0
self.sum = 0
... | 0.872497 | 0.483039 |
import bpy
from typing import List, Optional, Tuple
import numpy as np
from .gltf2_blender_export_keys import NORMALS, MORPH_NORMAL, TANGENTS, MORPH_TANGENT, MORPH
from io_scene_gltf2.blender.exp.gltf2_blender_gather_cache import cached
from io_scene_gltf2.blender.exp import gltf2_blender_extract
from io_scene_gltf2... | addons/io_scene_gltf2/blender/exp/gltf2_blender_gather_primitives.py |
import bpy
from typing import List, Optional, Tuple
import numpy as np
from .gltf2_blender_export_keys import NORMALS, MORPH_NORMAL, TANGENTS, MORPH_TANGENT, MORPH
from io_scene_gltf2.blender.exp.gltf2_blender_gather_cache import cached
from io_scene_gltf2.blender.exp import gltf2_blender_extract
from io_scene_gltf2... | 0.834002 | 0.285995 |
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import rdflib
import ga4gh.datamodel.genotype_phenotype as genotype_phenotype
import ga4gh.datamodel.datasets as datasets
import ga4gh.protocol as protocol
import tests.datadriven as datadriven
impo... | tests/datadriven/test_genotype_phenotype.py | from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import rdflib
import ga4gh.datamodel.genotype_phenotype as genotype_phenotype
import ga4gh.datamodel.datasets as datasets
import ga4gh.protocol as protocol
import tests.datadriven as datadriven
impo... | 0.581541 | 0.23027 |
flags = {}
flags["rainbow"] = [
[255, 0, 24],
[255, 165, 44],
[255, 255, 65],
[0, 128, 24],
[0, 0, 249],
[134, 0, 125],
]
flags["trans"] = [
[85, 205, 252],
[247, 168, 184],
[255, 255, 255],
[247, 168, 184],
[85, 205, 252],
]
flags["bi"] = [[214, 2, 112], [214, 2, 112], [155,... | pycardium/modules/py/pride.py | flags = {}
flags["rainbow"] = [
[255, 0, 24],
[255, 165, 44],
[255, 255, 65],
[0, 128, 24],
[0, 0, 249],
[134, 0, 125],
]
flags["trans"] = [
[85, 205, 252],
[247, 168, 184],
[255, 255, 255],
[247, 168, 184],
[85, 205, 252],
]
flags["bi"] = [[214, 2, 112], [214, 2, 112], [155,... | 0.616474 | 0.289096 |
from datetime import date, timedelta, datetime
import re
import sys
import threading
from time import localtime, mktime
import urllib2
from bs4 import BeautifulSoup
import pymysql
import GameData
import log
import markup
import retry_decorator
__author__ = "<NAME>"
__version__ = 2.11
__modified__ = '10/17/2016'
t... | nhl_rss_gen.py |
from datetime import date, timedelta, datetime
import re
import sys
import threading
from time import localtime, mktime
import urllib2
from bs4 import BeautifulSoup
import pymysql
import GameData
import log
import markup
import retry_decorator
__author__ = "<NAME>"
__version__ = 2.11
__modified__ = '10/17/2016'
t... | 0.348645 | 0.106598 |
from typing import Any, Callable, Generic, TypeVar
import pymonad.monad
S = TypeVar("S") # pylint: disable=invalid-name
T = TypeVar("T") # pylint: disable=invalid-name
class Maybe(pymonad.monad.Monad, Generic[T]):
""" The Maybe monad class. """
@classmethod
def insert(cls, value: T) -> "Maybe[T]":
... | src/pymonad/maybe.py | from typing import Any, Callable, Generic, TypeVar
import pymonad.monad
S = TypeVar("S") # pylint: disable=invalid-name
T = TypeVar("T") # pylint: disable=invalid-name
class Maybe(pymonad.monad.Monad, Generic[T]):
""" The Maybe monad class. """
@classmethod
def insert(cls, value: T) -> "Maybe[T]":
... | 0.809916 | 0.214815 |
from sensor_read import read_port, parse_serial
import sensor_read
import senstonote
import queue
from collections import deque
import numpy as np
import time
from __init__ import portR, portL, baud
import sys
from struct import *
import matplotlib.pyplot as plt
import matplotlib.animation as animation
### INITIALIZE... | gluvn_python/Main.py | from sensor_read import read_port, parse_serial
import sensor_read
import senstonote
import queue
from collections import deque
import numpy as np
import time
from __init__ import portR, portL, baud
import sys
from struct import *
import matplotlib.pyplot as plt
import matplotlib.animation as animation
### INITIALIZE... | 0.173673 | 0.131173 |
import vtk
htg = vtk.vtkHyperTreeGrid()
htg.Initialize()
scalarArray = vtk.vtkDoubleArray()
scalarArray.SetName('scalar')
scalarArray.SetNumberOfValues(0)
htg.GetCellData().AddArray(scalarArray)
htg.GetCellData().SetActiveScalars('scalar')
htg.SetDimensions([4, 3, 1])
htg.SetBranchFactor(2)
# Rectilinear grid coord... | Filters/HyperTree/Testing/Python/TestHyperTreeGrid2DYReflection.py | import vtk
htg = vtk.vtkHyperTreeGrid()
htg.Initialize()
scalarArray = vtk.vtkDoubleArray()
scalarArray.SetName('scalar')
scalarArray.SetNumberOfValues(0)
htg.GetCellData().AddArray(scalarArray)
htg.GetCellData().SetActiveScalars('scalar')
htg.SetDimensions([4, 3, 1])
htg.SetBranchFactor(2)
# Rectilinear grid coord... | 0.385606 | 0.230811 |
import json
import os
import torch
import torch.optim as optim
from monai.data import CacheDataset, DataLoader, Dataset, load_decathlon_datalist
from monai.inferers import SlidingWindowInferer
from monai.losses import DiceLoss
from monai.metrics import DiceMetric
from monai.networks.nets.unet import UNet
from monai.t... | examples/prostate/prostate_3D/pt/learners/supervised_monai_prostate_learner.py |
import json
import os
import torch
import torch.optim as optim
from monai.data import CacheDataset, DataLoader, Dataset, load_decathlon_datalist
from monai.inferers import SlidingWindowInferer
from monai.losses import DiceLoss
from monai.metrics import DiceMetric
from monai.networks.nets.unet import UNet
from monai.t... | 0.875015 | 0.209369 |
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class Vlans(Base):
"""This object hold the VLAN configuration.
The Vlans class encapsulates a list of vlans resources that are managed by the user.
A list of resources can be retrieved from the server using the Vlans.fi... | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/vlans_7edba6e68b5ca69b65bf3cbb911cf28b.py | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class Vlans(Base):
"""This object hold the VLAN configuration.
The Vlans class encapsulates a list of vlans resources that are managed by the user.
A list of resources can be retrieved from the server using the Vlans.fi... | 0.854339 | 0.21426 |
from __future__ import absolute_import, division, print_function
import time
import logging
import requests
import json
from requests.exceptions import ConnectionError
class LIVAI():
"""
This class deals with everything related to liv ai
"""
# Liv.ai authentication token and user
TOKEN = ... | ASR/livai_stt.py | from __future__ import absolute_import, division, print_function
import time
import logging
import requests
import json
from requests.exceptions import ConnectionError
class LIVAI():
"""
This class deals with everything related to liv ai
"""
# Liv.ai authentication token and user
TOKEN = ... | 0.41834 | 0.107531 |
import numpy as np
import paddle
import paddle.nn as nn
import paddle.fluid as fluid
from paddlenlp.transformers import LayoutXLMPretrainedModel
class Crf_decoding(paddle.fluid.dygraph.Layer):
def __init__(self, param_attr, size=None, is_test=True, dtype='float32'):
super(Crf_decoding, self).__init__()
... | applications/doc_vqa/Extraction/model.py | import numpy as np
import paddle
import paddle.nn as nn
import paddle.fluid as fluid
from paddlenlp.transformers import LayoutXLMPretrainedModel
class Crf_decoding(paddle.fluid.dygraph.Layer):
def __init__(self, param_attr, size=None, is_test=True, dtype='float32'):
super(Crf_decoding, self).__init__()
... | 0.883889 | 0.266811 |
import json
import graphene
import pytest
from django.shortcuts import reverse
from django.template.defaultfilters import slugify
from tests.utils import get_graphql_content
from saleor.product.models import Category
def test_category_query(user_api_client, product):
category = Category.objects.first()
quer... | tests/api/test_category.py | import json
import graphene
import pytest
from django.shortcuts import reverse
from django.template.defaultfilters import slugify
from tests.utils import get_graphql_content
from saleor.product.models import Category
def test_category_query(user_api_client, product):
category = Category.objects.first()
quer... | 0.47025 | 0.355579 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | staff_manage_sdk/model/container/deployment_strategy_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | 0.163245 | 0.079104 |
import requests
import os
import re
import sys
## python script to manipulate and automate Poll Everywhere responses
# define some constants
hash = 182936859384 # as far as I can tell, any 12 digit number works
COOKIE_URL = 'https://pollev.com/proxy/api/profile?_={}'
USER_URL = 'https://pollev.com/proxy/api/user... | AutoPoll.py |
import requests
import os
import re
import sys
## python script to manipulate and automate Poll Everywhere responses
# define some constants
hash = 182936859384 # as far as I can tell, any 12 digit number works
COOKIE_URL = 'https://pollev.com/proxy/api/profile?_={}'
USER_URL = 'https://pollev.com/proxy/api/user... | 0.300232 | 0.151875 |
import numpy as np
np.set_printoptions(precision=4)
def skew(v):
return np.array([[0.0, -v[2], v[1]],
[v[2], 0.0, -v[0]],
[-v[1], v[0], 0.0]])
class Quaternion(object):
def __init__(self, q0=0, q1=0, q2=0, q3=0):
self._data = np.array([q0, q1, q2, q3]).flat... | rudolph/quaternion.py |
import numpy as np
np.set_printoptions(precision=4)
def skew(v):
return np.array([[0.0, -v[2], v[1]],
[v[2], 0.0, -v[0]],
[-v[1], v[0], 0.0]])
class Quaternion(object):
def __init__(self, q0=0, q1=0, q2=0, q3=0):
self._data = np.array([q0, q1, q2, q3]).flat... | 0.784567 | 0.391929 |
import ssl
import threading
import irc.bot
import irc.client
import irc.connection
import time
import re
import sys
import feedparser
import datetime
import dateutil.parser
import requests
from colour import Colours
from db import FeedDB
from config import Config
from feedupdater import FeedUpdater
class IRCBot(irc.b... | bot.py | import ssl
import threading
import irc.bot
import irc.client
import irc.connection
import time
import re
import sys
import feedparser
import datetime
import dateutil.parser
import requests
from colour import Colours
from db import FeedDB
from config import Config
from feedupdater import FeedUpdater
class IRCBot(irc.b... | 0.257578 | 0.050917 |
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
def function_for_roots(x):
a = 1.01
b = -3.04
c = 2.07
return a*x**2 + b*x + c
def check_initial_values(f, x_min, x_max, tol):
y_min = f(x_min)
y_max = f(x_max)
if ((y_min*y_max)>=0):
print('no zero cro... | hw-3-code.py | %matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
def function_for_roots(x):
a = 1.01
b = -3.04
c = 2.07
return a*x**2 + b*x + c
def check_initial_values(f, x_min, x_max, tol):
y_min = f(x_min)
y_max = f(x_max)
if ((y_min*y_max)>=0):
print('no zero cro... | 0.353428 | 0.591428 |
import requests
import time
from app import db ,json
from model import Contact , Scrape , City , Tag , Job, Club ,Template , ClubContactSchema
from huey import SqliteHuey
from sqlalchemy.exc import IntegrityError
import pickle , os
# Selenium Imports
from selenium import webdriver
from selenium.webdriver.common.acti... | back/tasks.py | import requests
import time
from app import db ,json
from model import Contact , Scrape , City , Tag , Job, Club ,Template , ClubContactSchema
from huey import SqliteHuey
from sqlalchemy.exc import IntegrityError
import pickle , os
# Selenium Imports
from selenium import webdriver
from selenium.webdriver.common.acti... | 0.109897 | 0.064535 |
from django.utils.translation import ugettext_lazy as _
from corehq.apps.app_manager import id_strings
from corehq.apps.app_manager.const import (
SCHEDULE_DATE_CASE_OPENED,
SCHEDULE_GLOBAL_NEXT_VISIT_DATE,
SCHEDULE_LAST_VISIT,
SCHEDULE_LAST_VISIT_DATE,
SCHEDULE_NEXT_DUE,
)
from corehq.apps.app_man... | corehq/apps/app_manager/suite_xml/features/scheduler.py | from django.utils.translation import ugettext_lazy as _
from corehq.apps.app_manager import id_strings
from corehq.apps.app_manager.const import (
SCHEDULE_DATE_CASE_OPENED,
SCHEDULE_GLOBAL_NEXT_VISIT_DATE,
SCHEDULE_LAST_VISIT,
SCHEDULE_LAST_VISIT_DATE,
SCHEDULE_NEXT_DUE,
)
from corehq.apps.app_man... | 0.459804 | 0.106458 |
import wx
from wx.core import NO, VERTICAL, WXK_LEFT, Size
import pathlib, re,os
import pandas as pd
class BarcodePanel(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#Master Sizer for the Project
self.MasterSizer =wx.BoxSizer(wx.VERTICAL)
#Global Static Box... | Generator.py | import wx
from wx.core import NO, VERTICAL, WXK_LEFT, Size
import pathlib, re,os
import pandas as pd
class BarcodePanel(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
#Master Sizer for the Project
self.MasterSizer =wx.BoxSizer(wx.VERTICAL)
#Global Static Box... | 0.373076 | 0.054904 |
import copy
import datetime
import json
import os
import queue
import threading
import time
from freezegun import freeze_time
from mantarray_desktop_app import BARCODE_INVALID_UUID
from mantarray_desktop_app import BARCODE_POLL_PERIOD
from mantarray_desktop_app import BARCODE_UNREADABLE_UUID
from mantarray_desktop_app... | tests/process_monitor/test_process_monitor.py | import copy
import datetime
import json
import os
import queue
import threading
import time
from freezegun import freeze_time
from mantarray_desktop_app import BARCODE_INVALID_UUID
from mantarray_desktop_app import BARCODE_POLL_PERIOD
from mantarray_desktop_app import BARCODE_UNREADABLE_UUID
from mantarray_desktop_app... | 0.340266 | 0.117699 |