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 |
|---|---|---|---|---|
class RestServer:
def __init__(self, cluster_configuration, service_configuration, default_service_configuraiton):
self.cluster_configuration = cluster_configuration
self.service_configuration = dict(default_service_configuraiton,
**service_configuration)
... | src/rest-server/config/rest_server.py |
class RestServer:
def __init__(self, cluster_configuration, service_configuration, default_service_configuraiton):
self.cluster_configuration = cluster_configuration
self.service_configuration = dict(default_service_configuraiton,
**service_configuration)
... | 0.604516 | 0.105671 |
import os
import string
import nltk # type: ignore
import re
from nltk import FreqDist
from nltk.corpus import brown, stopwords # type: ignore
from typing import List
from langcreator.common import Generators, InputOutput, InputOutputGenerator, get_tags, choice, builtin_generators
nltk.download('brown', quiet=True)
... | langcreator/generator.py | import os
import string
import nltk # type: ignore
import re
from nltk import FreqDist
from nltk.corpus import brown, stopwords # type: ignore
from typing import List
from langcreator.common import Generators, InputOutput, InputOutputGenerator, get_tags, choice, builtin_generators
nltk.download('brown', quiet=True)
... | 0.486819 | 0.275288 |
import logging
from owslib.etree import etree
from owslib import crs, util
from owslib.namespaces import Namespaces
LOGGER = logging.getLogger(__name__)
n = Namespaces()
OWS_NAMESPACE_1_0_0 = n.get_namespace("ows")
OWS_NAMESPACE_1_1_0 = n.get_namespace("ows110")
OWS_NAMESPACE_2_0_0 = n.get_namespace("ows200")
XSI_N... | owslib/ows.py | import logging
from owslib.etree import etree
from owslib import crs, util
from owslib.namespaces import Namespaces
LOGGER = logging.getLogger(__name__)
n = Namespaces()
OWS_NAMESPACE_1_0_0 = n.get_namespace("ows")
OWS_NAMESPACE_1_1_0 = n.get_namespace("ows110")
OWS_NAMESPACE_2_0_0 = n.get_namespace("ows200")
XSI_N... | 0.405802 | 0.080538 |
from nose.tools import eq_
import mkt
import mkt.site.tests
from mkt.site.utils import app_factory, version_factory
from mkt.reviewers import helpers
class TestGetPosition(mkt.site.tests.TestCase):
def setUp(self):
# Add a public, reviewed app for measure. It took 4 days for this app
# to get re... | mkt/reviewers/tests/test_helpers.py | from nose.tools import eq_
import mkt
import mkt.site.tests
from mkt.site.utils import app_factory, version_factory
from mkt.reviewers import helpers
class TestGetPosition(mkt.site.tests.TestCase):
def setUp(self):
# Add a public, reviewed app for measure. It took 4 days for this app
# to get re... | 0.66072 | 0.247089 |
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from ann import ANN
# Read the data from the CSV file
red_data_path = "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv"
white_data_path = "h... | DNN/wine_classification_ann.py | import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from ann import ANN
# Read the data from the CSV file
red_data_path = "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv"
white_data_path = "h... | 0.907606 | 0.734346 |
import tensorflow as tf
_R_MEAN = 123.68
_G_MEAN = 116.78
_B_MEAN = 103.94
_RESIZE_SIDE_MIN = 256
_RESIZE_SIDE_MAX = 512
def _crop(image, offset_height, offset_width, crop_height, crop_width):
"""Crops the given image using the provided offsets and sizes.
Note that the method doesn't assume we know the input ima... | tftrt/examples/image_classification/preprocessing.py | import tensorflow as tf
_R_MEAN = 123.68
_G_MEAN = 116.78
_B_MEAN = 103.94
_RESIZE_SIDE_MIN = 256
_RESIZE_SIDE_MAX = 512
def _crop(image, offset_height, offset_width, crop_height, crop_width):
"""Crops the given image using the provided offsets and sizes.
Note that the method doesn't assume we know the input ima... | 0.95321 | 0.623635 |
from __future__ import absolute_import
# Copyright (c) 2010-2018 openpyxl
# Python stdlib imports
from datetime import (
time,
datetime,
date,
timedelta,
)
# 3rd party imports
import pytest
# package imports
from openpyxl.comments import Comment
from openpyxl.cell.cell import ERROR_CODES
@pytest.... | openpyxl/cell/tests/test_cell.py | from __future__ import absolute_import
# Copyright (c) 2010-2018 openpyxl
# Python stdlib imports
from datetime import (
time,
datetime,
date,
timedelta,
)
# 3rd party imports
import pytest
# package imports
from openpyxl.comments import Comment
from openpyxl.cell.cell import ERROR_CODES
@pytest.... | 0.564819 | 0.486514 |
from .tool.func import *
import random
def randomkeyy():
alphabet = "abcdefghijklmnopqrstuvwxyz0123456789"
password = ""
for i in range(6):
index = random.randrange(len(alphabet))
password = password + alphabet[index]
return password
def login_need_email_2(conn, tool):
curs = conn... | route/login_need_email.py | from .tool.func import *
import random
def randomkeyy():
alphabet = "abcdefghijklmnopqrstuvwxyz0123456789"
password = ""
for i in range(6):
index = random.randrange(len(alphabet))
password = password + alphabet[index]
return password
def login_need_email_2(conn, tool):
curs = conn... | 0.176743 | 0.07521 |
# coding: utf-8
from elasticsearch import Elasticsearch
class ElasticSearchClient(object):
def __init__(self):
self._es_client = None
def init_app(self, app):
if 'ES_HOST' in app.config and 'ES_PORT' in app.config:
self._es_client = Elasticsearch([
{
... | web_console_v2/api/fedlearner_webconsole/utils/es.py |
# coding: utf-8
from elasticsearch import Elasticsearch
class ElasticSearchClient(object):
def __init__(self):
self._es_client = None
def init_app(self, app):
if 'ES_HOST' in app.config and 'ES_PORT' in app.config:
self._es_client = Elasticsearch([
{
... | 0.486088 | 0.257281 |
import collections
import redis
import numpy as np
from representations import StateAction
import random
from textworld.core import EnvInfos
GraphInfo = collections.namedtuple('GraphInfo', 'objs, ob_rep, act_rep, graph_state, graph_state_rep, admissible_actions, admissible_actions_rep')
def load_vocab(env):
with ... | kga2c/env.py | import collections
import redis
import numpy as np
from representations import StateAction
import random
from textworld.core import EnvInfos
GraphInfo = collections.namedtuple('GraphInfo', 'objs, ob_rep, act_rep, graph_state, graph_state_rep, admissible_actions, admissible_actions_rep')
def load_vocab(env):
with ... | 0.628863 | 0.200969 |
import tmt
class ProvisionLocal(tmt.steps.provision.ProvisionPlugin):
"""
Use local host for test execution
In general it is not recommended to run tests on your local machine
as there might be security risks. Run only those tests which you
know are safe so that you don't destroy your laptop ;-)
... | tmt/steps/provision/local.py | import tmt
class ProvisionLocal(tmt.steps.provision.ProvisionPlugin):
"""
Use local host for test execution
In general it is not recommended to run tests on your local machine
as there might be security risks. Run only those tests which you
know are safe so that you don't destroy your laptop ;-)
... | 0.555194 | 0.516535 |
from django.core.management.base import CommandError
from django.contrib.auth import get_user_model
from courses.api import deactivate_program_enrollment, deactivate_run_enrollment
from courses.management.utils import EnrollmentChangeCommand, enrollment_summaries
from courses.constants import ENROLL_CHANGE_STATUS_TRAN... | courses/management/commands/transfer_enrollment.py | from django.core.management.base import CommandError
from django.contrib.auth import get_user_model
from courses.api import deactivate_program_enrollment, deactivate_run_enrollment
from courses.management.utils import EnrollmentChangeCommand, enrollment_summaries
from courses.constants import ENROLL_CHANGE_STATUS_TRAN... | 0.428592 | 0.179279 |
from tests.fields.subclass_models import RaceParticipant, RacePlacingEnum
from tortoise.contrib import test
class TestCustomFieldFilters(test.IsolatedTestCase):
tortoise_test_modules = ["tests.fields.subclass_models"]
async def asyncSetUp(self):
await super().asyncSetUp()
await RaceParticipan... | tests/fields/test_subclass_filters.py | from tests.fields.subclass_models import RaceParticipant, RacePlacingEnum
from tortoise.contrib import test
class TestCustomFieldFilters(test.IsolatedTestCase):
tortoise_test_modules = ["tests.fields.subclass_models"]
async def asyncSetUp(self):
await super().asyncSetUp()
await RaceParticipan... | 0.68941 | 0.327225 |
import pytest
import respx
from httpx import Response
from nonebug.app import App
from .utils import get_file, get_json
@pytest.fixture
def mcbbsnews(app: App):
from nonebot_bison.platform import platform_manager
return platform_manager["mcbbsnews"]
@pytest.fixture(scope="module")
def raw_post_list():
... | tests/platforms/test_mcbbsnews.py | import pytest
import respx
from httpx import Response
from nonebug.app import App
from .utils import get_file, get_json
@pytest.fixture
def mcbbsnews(app: App):
from nonebot_bison.platform import platform_manager
return platform_manager["mcbbsnews"]
@pytest.fixture(scope="module")
def raw_post_list():
... | 0.374676 | 0.161122 |
import tensorflow as tf
from CONSTANT import AUDIO_SAMPLE_RATE, IS_CUT_AUDIO, MAX_AUDIO_DURATION
from data_process import extract_mfcc_parallel, get_max_length, ohe2cat, pad_seq
from models.attention import Attention
from models.my_classifier import Classifier
from tensorflow.python.keras import optimizers
from tensorf... | examples/automl_freiburg/winner_speech/models/bilstm_attention.py | import tensorflow as tf
from CONSTANT import AUDIO_SAMPLE_RATE, IS_CUT_AUDIO, MAX_AUDIO_DURATION
from data_process import extract_mfcc_parallel, get_max_length, ohe2cat, pad_seq
from models.attention import Attention
from models.my_classifier import Classifier
from tensorflow.python.keras import optimizers
from tensorf... | 0.864697 | 0.262552 |
#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
log = logging.getLogger(__name__)
#-------------... | bokeh/application/handlers/script.py | #-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
log = logging.getLogger(__name__)
#-------------... | 0.514644 | 0.048294 |
from __future__ import absolute_import
from __future__ import unicode_literals
import os
import subprocess
import tempfile
from subprocess import PIPE
import requests
import six
from io import open
def tmpfile(*args, **kwargs):
fd, path = tempfile.mkstemp(*args, **kwargs)
return (os.fdopen(fd, 'w'), path)
d... | corehq/ex-submodules/dimagi/utils/post.py | from __future__ import absolute_import
from __future__ import unicode_literals
import os
import subprocess
import tempfile
from subprocess import PIPE
import requests
import six
from io import open
def tmpfile(*args, **kwargs):
fd, path = tempfile.mkstemp(*args, **kwargs)
return (os.fdopen(fd, 'w'), path)
d... | 0.435781 | 0.084417 |
import services
import sims4.commands
from server_commands.argument_helpers import SimInfoParam, TunableInstanceParam
RELATIONSHIP_MAX_SCORE = 100
FRIEND_TYPE = 'LTR_Friendship_Main'
ROMANCE_TYPE = 'LTR_Romance_Main'
# become_friend <FirstName> <LastName>
# the param HAS TO be : info1: SimInfoParam, info2: SimInfoPa... | src/relationship.py | import services
import sims4.commands
from server_commands.argument_helpers import SimInfoParam, TunableInstanceParam
RELATIONSHIP_MAX_SCORE = 100
FRIEND_TYPE = 'LTR_Friendship_Main'
ROMANCE_TYPE = 'LTR_Romance_Main'
# become_friend <FirstName> <LastName>
# the param HAS TO be : info1: SimInfoParam, info2: SimInfoPa... | 0.32338 | 0.140513 |
from datetime import date, timedelta
from django import forms
from django.utils.translation import ugettext_lazy as _
from frozendict import frozendict
from api.task.serializers import TASK_STATES, TASK_OBJECT_TYPES, TaskLogFilterSerializer
class BaseTaskLogFilterForm(forms.Form):
DEFAULT_DATE_FROM = frozendict(... | gui/tasklog/forms.py | from datetime import date, timedelta
from django import forms
from django.utils.translation import ugettext_lazy as _
from frozendict import frozendict
from api.task.serializers import TASK_STATES, TASK_OBJECT_TYPES, TaskLogFilterSerializer
class BaseTaskLogFilterForm(forms.Form):
DEFAULT_DATE_FROM = frozendict(... | 0.619011 | 0.064535 |
import asyncio
import io
import logging
import time
from asyncio import Lock, StreamReader, StreamWriter
from typing import Dict, List, Optional, Tuple
from lib.chiavdf.inkfish.classgroup import ClassGroup
from lib.chiavdf.inkfish.create_discriminant import create_discriminant
from lib.chiavdf.inkfish.proof_of_time i... | src/timelord.py | import asyncio
import io
import logging
import time
from asyncio import Lock, StreamReader, StreamWriter
from typing import Dict, List, Optional, Tuple
from lib.chiavdf.inkfish.classgroup import ClassGroup
from lib.chiavdf.inkfish.create_discriminant import create_discriminant
from lib.chiavdf.inkfish.proof_of_time i... | 0.713332 | 0.184345 |
from __future__ import print_function, division, absolute_import
from astropy.time import Time
from .. import fetch
import numpy as np
from .. import cache
__all__ = ['MNF_TIME', 'times_indexes', 'DerivedParameter']
MNF_TIME = 0.25625 # Minor Frame duration (seconds)
def times_indexes(start, stop, dt... | jeta/archive/derived/base.py | from __future__ import print_function, division, absolute_import
from astropy.time import Time
from .. import fetch
import numpy as np
from .. import cache
__all__ = ['MNF_TIME', 'times_indexes', 'DerivedParameter']
MNF_TIME = 0.25625 # Minor Frame duration (seconds)
def times_indexes(start, stop, dt... | 0.695752 | 0.338952 |
from surprise.model_selection import GridSearchCV
def perform_grid_search(data, model_dict, param_grid, cv):
"""
Return list of trained models in GridSearch
:param data: Trainset to use in model training
:param model_dict: Dictionary with list of models(and their names) ... | grid_search.py |
from surprise.model_selection import GridSearchCV
def perform_grid_search(data, model_dict, param_grid, cv):
"""
Return list of trained models in GridSearch
:param data: Trainset to use in model training
:param model_dict: Dictionary with list of models(and their names) ... | 0.821939 | 0.47859 |
import time
import spdlog as spd
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
from buzzblog.gen import TLikeService
def instrumented(func):
""" TODO : Method description """
def func_wrapper(self, request_metadata, *args, **kwargs):
... | app/uniquepair/service/tests/site-packages/buzzblog/like_client.py | import time
import spdlog as spd
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol
from buzzblog.gen import TLikeService
def instrumented(func):
""" TODO : Method description """
def func_wrapper(self, request_metadata, *args, **kwargs):
... | 0.28398 | 0.071235 |
from __future__ import absolute_import, division, unicode_literals
from six import string_types
import param
import numpy as np
from bokeh.models import CustomJS
from bokeh.models.formatters import TickFormatter
from bokeh.models.widgets import (
DateSlider as _BkDateSlider, DateRangeSlider as _BkDateRangeSlider... | panel/widgets/slider.py | from __future__ import absolute_import, division, unicode_literals
from six import string_types
import param
import numpy as np
from bokeh.models import CustomJS
from bokeh.models.formatters import TickFormatter
from bokeh.models.widgets import (
DateSlider as _BkDateSlider, DateRangeSlider as _BkDateRangeSlider... | 0.706292 | 0.245209 |
from __future__ import annotations
from collections.abc import Callable
from typing import Any, cast
from pytradfri.command import Command
from homeassistant.components.cover import ATTR_POSITION, CoverEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homea... | homeassistant/components/tradfri/cover.py | from __future__ import annotations
from collections.abc import Callable
from typing import Any, cast
from pytradfri.command import Command
from homeassistant.components.cover import ATTR_POSITION, CoverEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homea... | 0.908355 | 0.116011 |
import time
from signal import signal, SIGSEGV
from types import MethodType
try:
import mathsat
from pysmt.solvers.msat import MathSAT5Solver
except ImportError:
class MathSAT5Solver:
pass
try:
from pysmt.solvers.z3 import Z3Solver
except ImportError:
class Z3Solver:
pass
from pys... | src/multisolver.py | import time
from signal import signal, SIGSEGV
from types import MethodType
try:
import mathsat
from pysmt.solvers.msat import MathSAT5Solver
except ImportError:
class MathSAT5Solver:
pass
try:
from pysmt.solvers.z3 import Z3Solver
except ImportError:
class Z3Solver:
pass
from pys... | 0.646906 | 0.35421 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
try:
import spotpy
except ImportError:
import sys
sys.path.append(".")
import spotpy
from spotpy.examples.spot_setup_rosenbrock import spot_setup
from sp... | spotpy/examples/tutorial_rosenbrock.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
try:
import spotpy
except ImportError:
import sys
sys.path.append(".")
import spotpy
from spotpy.examples.spot_setup_rosenbrock import spot_setup
from sp... | 0.557364 | 0.092033 |
import logging
from unittest.mock import patch
import pandas as pd
import pytest
import awswrangler as wr
from ._utils import ensure_athena_query_metadata
logging.getLogger("awswrangler").setLevel(logging.DEBUG)
def test_athena_cache(path, glue_database, glue_table, workgroup1):
df = pd.DataFrame({"c0": [0, N... | tests/test_athena_cache.py | import logging
from unittest.mock import patch
import pandas as pd
import pytest
import awswrangler as wr
from ._utils import ensure_athena_query_metadata
logging.getLogger("awswrangler").setLevel(logging.DEBUG)
def test_athena_cache(path, glue_database, glue_table, workgroup1):
df = pd.DataFrame({"c0": [0, N... | 0.587707 | 0.434041 |
from typing import List, NamedTuple
from genyrator import Entity
import genyrator.entities.Template as Template
from genyrator.entities.Template import create_template
from genyrator.types import TypeOption
TemplateConfig = NamedTuple('TemplateConfig', [
('root_files', List[Template.Template]),
('core', ... | genyrator/template_config.py | from typing import List, NamedTuple
from genyrator import Entity
import genyrator.entities.Template as Template
from genyrator.entities.Template import create_template
from genyrator.types import TypeOption
TemplateConfig = NamedTuple('TemplateConfig', [
('root_files', List[Template.Template]),
('core', ... | 0.536313 | 0.123207 |
from flask import Flask, render_template, request, redirect, url_for, session
from azure.storage.blob import BlockBlobService
from azure.storage.blob import PublicAccess
from azure.storage.blob import ContentSettings
import mysql.connector
from mysql.connector import errorcode
import os
import csv
import random
from da... | main.py | from flask import Flask, render_template, request, redirect, url_for, session
from azure.storage.blob import BlockBlobService
from azure.storage.blob import PublicAccess
from azure.storage.blob import ContentSettings
import mysql.connector
from mysql.connector import errorcode
import os
import csv
import random
from da... | 0.269902 | 0.076822 |
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import generics
from rest_framework.permissions import IsAuthenticated
from rest_framework.test import APITestCase
from menus_project import constants as c
from menus_project import factories as f
from . import serialize... | api/test_views.py | from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import generics
from rest_framework.permissions import IsAuthenticated
from rest_framework.test import APITestCase
from menus_project import constants as c
from menus_project import factories as f
from . import serialize... | 0.622 | 0.317109 |
import argparse
import pytorch_lightning as pl
from wheat.config import load_config
from wheat.data_module import WheatDataModule
from wheat.dataset import WheatDataset
from wheat.model import WheatModel
def predict(config, args_dict: dict, ckpt_path: str):
"""Run inference on the test set and save predictions.... | wheat/scripts/predict.py | import argparse
import pytorch_lightning as pl
from wheat.config import load_config
from wheat.data_module import WheatDataModule
from wheat.dataset import WheatDataset
from wheat.model import WheatModel
def predict(config, args_dict: dict, ckpt_path: str):
"""Run inference on the test set and save predictions.... | 0.721351 | 0.395835 |
import pulp
import random
import time
import matplotlib.pyplot as plt
'''
้ๅ่ฆ็้ฎ้ข๏ผ
โข ่พๅ
ฅ: ๆ้้ X, X ็ๅญ้ๅๆ F, X=โช๐โ๐น S
โข ่พๅบ: CโF, ๆปก่ถณ
๏ผ1๏ผX=โช๐โ๐ถ S
๏ผ2๏ผC ๆฏๆปก่ถณๆกไปถ(1)็ๆๅฐ้ๆ, ๅณ|C|ๆๅฐ.
'''
# ็ๆๅฎ้ชๆฐๆฎ
class generate():
def __init__(self):
self.X = [] # ๆ้้
self.F = [] # ๅญ้ๅๆ
def generateData(self, size):
... | src/ApproximateAlgorithm/SetCoverage.py | import pulp
import random
import time
import matplotlib.pyplot as plt
'''
้ๅ่ฆ็้ฎ้ข๏ผ
โข ่พๅ
ฅ: ๆ้้ X, X ็ๅญ้ๅๆ F, X=โช๐โ๐น S
โข ่พๅบ: CโF, ๆปก่ถณ
๏ผ1๏ผX=โช๐โ๐ถ S
๏ผ2๏ผC ๆฏๆปก่ถณๆกไปถ(1)็ๆๅฐ้ๆ, ๅณ|C|ๆๅฐ.
'''
# ็ๆๅฎ้ชๆฐๆฎ
class generate():
def __init__(self):
self.X = [] # ๆ้้
self.F = [] # ๅญ้ๅๆ
def generateData(self, size):
... | 0.0956 | 0.230432 |
import ctypes
import math
inputFilePath = "Input_Cases/Individual/sudoku_input_difficult.txt"
algoChoice = 1 # defaults to backtrack algo
SudokuSolverLib = ctypes.CDLL('./lib/SudokuSolverLib.so')
def readSudInput(filepath):
# helper function ,reads in .txt
sud_sizes = [el ** 2 for el in range(1, 17)] # s... | SudokuSolver.py | import ctypes
import math
inputFilePath = "Input_Cases/Individual/sudoku_input_difficult.txt"
algoChoice = 1 # defaults to backtrack algo
SudokuSolverLib = ctypes.CDLL('./lib/SudokuSolverLib.so')
def readSudInput(filepath):
# helper function ,reads in .txt
sud_sizes = [el ** 2 for el in range(1, 17)] # s... | 0.398524 | 0.387314 |
from jcourse_api.models import *
def create_test_env() -> None:
dept_seiee = Department.objects.create(name='SEIEE')
dept_phy = Department.objects.create(name='PHYSICS')
teacher_gao = Teacher.objects.create(tid=1, name='้ซๅฅณๅฃซ', department=dept_seiee, title='ๆๆ', pinyin='gaoxiaofeng',
... | jcourse_api/tests/__init__.py | from jcourse_api.models import *
def create_test_env() -> None:
dept_seiee = Department.objects.create(name='SEIEE')
dept_phy = Department.objects.create(name='PHYSICS')
teacher_gao = Teacher.objects.create(tid=1, name='้ซๅฅณๅฃซ', department=dept_seiee, title='ๆๆ', pinyin='gaoxiaofeng',
... | 0.287968 | 0.190178 |
_base_ = [
'../_base_/datasets/scannet-3d-18class.py', '../_base_/models/votenet.py', '../_base_/default_runtime.py'
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=2
)
model = dict(
backbone=dict(
_delete_=True,
type='Pointformer',
num_points=(2048, 1024, 512, 256),
ra... | configs/pointformer/votenet_ptr_scannet-3d-18class.py | _base_ = [
'../_base_/datasets/scannet-3d-18class.py', '../_base_/models/votenet.py', '../_base_/default_runtime.py'
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=2
)
model = dict(
backbone=dict(
_delete_=True,
type='Pointformer',
num_points=(2048, 1024, 512, 256),
ra... | 0.395601 | 0.244352 |
import csv
import re
import dateutil.parser
import scrape_util
from urllib.request import Request, urlopen
from sys import argv
from bs4 import BeautifulSoup
default_sale, base_url, prefix = scrape_util.get_market(argv)
strip_char = ';,. \n\t'
def get_sale_date(date_head):
"""Return the date of the livestock sa... | _307_scrape.py | import csv
import re
import dateutil.parser
import scrape_util
from urllib.request import Request, urlopen
from sys import argv
from bs4 import BeautifulSoup
default_sale, base_url, prefix = scrape_util.get_market(argv)
strip_char = ';,. \n\t'
def get_sale_date(date_head):
"""Return the date of the livestock sa... | 0.414899 | 0.117851 |
from abc import ABC, abstractmethod
class Environment(ABC):
"""
A reinforcement learning Environment.
In reinforcement learning, an Agent learns by interacting with an Environment.
An Environment defines the dynamics of a particular problem:
the states, the actions, the transitions between states,... | all/environments/abstract.py | from abc import ABC, abstractmethod
class Environment(ABC):
"""
A reinforcement learning Environment.
In reinforcement learning, an Agent learns by interacting with an Environment.
An Environment defines the dynamics of a particular problem:
the states, the actions, the transitions between states,... | 0.949867 | 0.887984 |
from coremltools.converters.mil.mil.passes.quantization_passes import AbstractQuantizationPass
from coremltools.converters.mil.mil.passes.pass_registry import PASS_REGISTRY
import logging as _logging
from coremltools.converters._profile_utils import _profile
from tqdm import tqdm as _tqdm
from coremltools.converters.m... | coremltools/converters/mil/mil/passes/apply_common_pass_pipeline.py |
from coremltools.converters.mil.mil.passes.quantization_passes import AbstractQuantizationPass
from coremltools.converters.mil.mil.passes.pass_registry import PASS_REGISTRY
import logging as _logging
from coremltools.converters._profile_utils import _profile
from tqdm import tqdm as _tqdm
from coremltools.converters.m... | 0.560493 | 0.274528 |
from csv import DictReader
MAX_GLOBAL_CLOCKS = 24
MAX_COLUMN_CLOCKS = 12
def gen_rclk_int(grid):
for tile_name in sorted(grid.tiles()):
loc = grid.loc_of_tilename(tile_name)
gridinfo = grid.gridinfo_at_loc(loc)
if gridinfo.tile_type in ["RCLK_INT_L", "RCLK_INT_R"]:
yield loc... | utils/clock_utils.py |
from csv import DictReader
MAX_GLOBAL_CLOCKS = 24
MAX_COLUMN_CLOCKS = 12
def gen_rclk_int(grid):
for tile_name in sorted(grid.tiles()):
loc = grid.loc_of_tilename(tile_name)
gridinfo = grid.gridinfo_at_loc(loc)
if gridinfo.tile_type in ["RCLK_INT_L", "RCLK_INT_R"]:
yield loc... | 0.474875 | 0.272956 |
import numpy as np
from random import randint
from PIL import Image
# Basic implementation of recursive division maze generation
# Credit to Wikipedia.org Maze Generation
# 1s will represent wall 0s will represent white space
# All positions are measured from the top left corner (0,0)
Debug = True
class Chamber:
d... | Oldcrap/generator.py | import numpy as np
from random import randint
from PIL import Image
# Basic implementation of recursive division maze generation
# Credit to Wikipedia.org Maze Generation
# 1s will represent wall 0s will represent white space
# All positions are measured from the top left corner (0,0)
Debug = True
class Chamber:
d... | 0.422386 | 0.542742 |
import logging
from typing import Optional
from fastapi import HTTPException, Depends
from fastapi.encoders import jsonable_encoder
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED
from sqlalchemy.exc import IntegrityError
from dispatch.plugins.base import plugins
from dispat... | src/dispatch/auth/service.py | import logging
from typing import Optional
from fastapi import HTTPException, Depends
from fastapi.encoders import jsonable_encoder
from starlette.requests import Request
from starlette.status import HTTP_401_UNAUTHORIZED
from sqlalchemy.exc import IntegrityError
from dispatch.plugins.base import plugins
from dispat... | 0.784236 | 0.0584 |
import copy
import datetime
import itertools
import json
import os
import sys
import unittest
sys.path.insert(1, os.path.abspath(
os.path.join(os.path.dirname(__file__), '../telescope')))
import iptranslation
import selector
import utils
class SelectorFileParserTest(unittest.TestCase):
def parse_file_conte... | tests/test_selector.py |
import copy
import datetime
import itertools
import json
import os
import sys
import unittest
sys.path.insert(1, os.path.abspath(
os.path.join(os.path.dirname(__file__), '../telescope')))
import iptranslation
import selector
import utils
class SelectorFileParserTest(unittest.TestCase):
def parse_file_conte... | 0.424889 | 0.344761 |
__revision__ = "__FILE__ __REVISION__ __DATE__ __DEVELOPER__"
__all__ = ('EnumOption',)
import string
import SCons.Errors
def _validator(key, val, env, vals):
if not val in vals:
raise SCons.Errors.UserError(
'Invalid value for option %s: %s' % (key, val))
def EnumOption(key, help, defaul... | src/engine/SCons/Options/EnumOption.py |
__revision__ = "__FILE__ __REVISION__ __DATE__ __DEVELOPER__"
__all__ = ('EnumOption',)
import string
import SCons.Errors
def _validator(key, val, env, vals):
if not val in vals:
raise SCons.Errors.UserError(
'Invalid value for option %s: %s' % (key, val))
def EnumOption(key, help, defaul... | 0.533641 | 0.247192 |
# # elif a[l]==key and q>l:
# # l=q
# elif a[q]>key:
# r=q
# else:
# p=q
# q1=q
# q2=q
# while p<q1:
# q=(p+q1)//2
# if a[q]==key:
# ... | python/searching/var_binary_search.py |
# # elif a[l]==key and q>l:
# # l=q
# elif a[q]>key:
# r=q
# else:
# p=q
# q1=q
# q2=q
# while p<q1:
# q=(p+q1)//2
# if a[q]==key:
# ... | 0.042652 | 0.157137 |
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.db.models import F
from django.urls import reverse
from ..cooggerapp.models.common import Common, View, Vote
f... | core/threaded_comment/models.py | from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.db.models import F
from django.urls import reverse
from ..cooggerapp.models.common import Common, View, Vote
f... | 0.606265 | 0.09556 |
import numpy as np
import matplotlib.pyplot as plt
from deepblast.dataset.utils import states2alignment, tmstate_f, states2edges
def roc_edges(true_edges, pred_edges):
truth = set(true_edges)
pred = set(pred_edges)
tp = len(truth & pred)
fp = len(pred - truth)
fn = len(truth - pred)
perc_id = ... | deepblast/score.py | import numpy as np
import matplotlib.pyplot as plt
from deepblast.dataset.utils import states2alignment, tmstate_f, states2edges
def roc_edges(true_edges, pred_edges):
truth = set(true_edges)
pred = set(pred_edges)
tp = len(truth & pred)
fp = len(pred - truth)
fn = len(truth - pred)
perc_id = ... | 0.718002 | 0.684462 |
from typing import NamedTuple, Dict, Callable, Union
import os
import json
import wandb
import torch
import random
import shutil
import tarfile
import tempfile
import numpy as np
from pathlib import Path
from loguru import logger
from copy import deepcopy
from functools import wraps
import torch.distributed as dist
imp... | vae_lm/training/utils.py | from typing import NamedTuple, Dict, Callable, Union
import os
import json
import wandb
import torch
import random
import shutil
import tarfile
import tempfile
import numpy as np
from pathlib import Path
from loguru import logger
from copy import deepcopy
from functools import wraps
import torch.distributed as dist
imp... | 0.843412 | 0.168891 |
import sys
from kikit.doc import runBoardExample, runBoardExampleJoin
from pcbnewTransition import pcbnew
counter = 0
def autoName():
global counter
counter += 1
return f"examplePanel{counter}"
SRC = "doc/resources/conn.kicad_pcb"
print(
"""
# Examples
This document will show you several examples of Ki... | scripts/exampleDoc.py |
Then run KiKit:
""")
runBoardExample(autoName(),
[["panelize"],
["--layout", "grid; rows: 2; cols: 2; space: 2mm"],
["--tabs", "fixed; width: 3mm; vcount: 2"],
["--cuts", "mousebites; drill: 0.5mm; spacing: 1mm; offset: 0.2mm; prolong: 0.5mm"],
["--framing", "railstb; width: 5mm; s... | 0.556761 | 0.660898 |
"""Tests for the unconstrained BFGS optimizer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import numpy as np
from scipy.stats import special_ortho_group
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.... | tensorflow_probability/python/optimizer/bfgs_test.py | """Tests for the unconstrained BFGS optimizer."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import numpy as np
from scipy.stats import special_ortho_group
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.... | 0.94001 | 0.531209 |
import time
import webbrowser as web
from datetime import datetime
from typing import Optional
from urllib.parse import quote
import pyautogui
import pyautogui as pg
from pywhatkit.core import core, exceptions, log
import winsound
pg.FAILSAFE = False
core.check_connection()
WAIT_TO_LOAD_WEB = 8
WAIT_TO_LOAD_APP = ... | pywhatkit/whats.py | import time
import webbrowser as web
from datetime import datetime
from typing import Optional
from urllib.parse import quote
import pyautogui
import pyautogui as pg
from pywhatkit.core import core, exceptions, log
import winsound
pg.FAILSAFE = False
core.check_connection()
WAIT_TO_LOAD_WEB = 8
WAIT_TO_LOAD_APP = ... | 0.494141 | 0.091666 |
import discord
from discord.ext import commands
from discord import utils
import asyncio
import json
class Developers:
def __init__(self, bot):
self.bot = bot
@commands.group()
@commands.is_owner()
async def extension(self, ctx):
if ctx.invoked_subcommand is None... | extensions/developer.py | import discord
from discord.ext import commands
from discord import utils
import asyncio
import json
class Developers:
def __init__(self, bot):
self.bot = bot
@commands.group()
@commands.is_owner()
async def extension(self, ctx):
if ctx.invoked_subcommand is None... | 0.532911 | 0.17971 |
''' distribute- and pip-enabled setup.py '''
from __future__ import print_function
import sys
import logging
import os
import re
import shutil
# ----- overrides -----
# set these to anything but None to override the automatic defaults
packages = None
package_name = None
package_data = None
scripts = None
# ---------... | setup.py | ''' distribute- and pip-enabled setup.py '''
from __future__ import print_function
import sys
import logging
import os
import re
import shutil
# ----- overrides -----
# set these to anything but None to override the automatic defaults
packages = None
package_name = None
package_data = None
scripts = None
# ---------... | 0.336113 | 0.098729 |
from __future__ import print_function
import datetime
import os
import sys
import pygrib
import pytz
from pyiem.datatypes import distance
from pyiem.plot import MapPlot
import matplotlib.cm as cm
def do(ts, hours):
"""
Create a plot of precipitation stage4 estimates for some day
"""
ts = ts.replace(m... | scripts/current/stage4_xhour.py | from __future__ import print_function
import datetime
import os
import sys
import pygrib
import pytz
from pyiem.datatypes import distance
from pyiem.plot import MapPlot
import matplotlib.cm as cm
def do(ts, hours):
"""
Create a plot of precipitation stage4 estimates for some day
"""
ts = ts.replace(m... | 0.398289 | 0.221877 |
from __future__ import division
import numpy as np
from .J_table import J_table
import sys
from time import time
from numpy import log, sqrt, exp, pi
from scipy.signal import fftconvolve as convolve
def P_IA_deltaE2(k,P):
N=k.size
n= np.arange(-N+1,N )
dL=log(k[1])-log(k[0])
s=n*dL
cut=3
high_s=s[s > cut]
lo... | fastpt/IA_ta.py | from __future__ import division
import numpy as np
from .J_table import J_table
import sys
from time import time
from numpy import log, sqrt, exp, pi
from scipy.signal import fftconvolve as convolve
def P_IA_deltaE2(k,P):
N=k.size
n= np.arange(-N+1,N )
dL=log(k[1])-log(k[0])
s=n*dL
cut=3
high_s=s[s > cut]
lo... | 0.16099 | 0.226431 |
from fractions import Fraction
from wick.expression import AExpression
from wick.wick import apply_wick
from wick.convenience import one_e, two_e, E1, E2, commute
from wick.convenience import ketE1, ketE2, ketEip1, ketEea1
from wick.convenience import ketEea2, ketEip2, ketEdea1, ketEdip1
from wick.convenience import br... | examples/ccsd_Heff.py | from fractions import Fraction
from wick.expression import AExpression
from wick.wick import apply_wick
from wick.convenience import one_e, two_e, E1, E2, commute
from wick.convenience import ketE1, ketE2, ketEip1, ketEea1
from wick.convenience import ketEea2, ketEip2, ketEdea1, ketEdip1
from wick.convenience import br... | 0.291989 | 0.333992 |
import shlex
import subprocess
import doit # type: ignore
from buildchain import config
from buildchain import constants
from buildchain import types
from buildchain import utils
def task__vagrantkey() -> types.TaskDict:
"""Generate a SSH key pair in the .vagrant folder."""
def mkdir_dot_vagrant() -> None... | buildchain/buildchain/vagrant.py | import shlex
import subprocess
import doit # type: ignore
from buildchain import config
from buildchain import constants
from buildchain import types
from buildchain import utils
def task__vagrantkey() -> types.TaskDict:
"""Generate a SSH key pair in the .vagrant folder."""
def mkdir_dot_vagrant() -> None... | 0.535827 | 0.31871 |
import numpy as np
from astropy.units import Quantity, Unit
from astropy.time import Time
from astropy.io.votable.converters import (
get_converter as get_votable_converter)
from .exceptions import DALServiceError
NUMERIC_DATATYPES = {'short', 'int', 'long', 'float', 'double'}
def find_param_by_keyword(keywor... | pyvo/dal/params.py | import numpy as np
from astropy.units import Quantity, Unit
from astropy.time import Time
from astropy.io.votable.converters import (
get_converter as get_votable_converter)
from .exceptions import DALServiceError
NUMERIC_DATATYPES = {'short', 'int', 'long', 'float', 'double'}
def find_param_by_keyword(keywor... | 0.8321 | 0.409103 |
from morphotactics.morphotactics import compile
from morphotactics.slot import Slot
from morphotactics.stem_guesser import StemGuesser
import pynini
import pywrapfst
from IPython.display import SVG, display
# helper function that transduces input_str belonging to lower alphabet to string in upper alphabet
def analyze... | tests/test_toy_nawat_nouns.py | from morphotactics.morphotactics import compile
from morphotactics.slot import Slot
from morphotactics.stem_guesser import StemGuesser
import pynini
import pywrapfst
from IPython.display import SVG, display
# helper function that transduces input_str belonging to lower alphabet to string in upper alphabet
def analyze... | 0.571527 | 0.555254 |
from abc import ABC, abstractmethod
from typing import Sequence, Union, Tuple, Any
import re
import numpy as np
from mdde.agent.abc import NodeAgentMapping
from mdde.agent.enums import EActionResult
from mdde.config import ConfigEnvironment
from mdde.registry.protocol import PRegistryReadClient, PRegistryWriteClient
... | mdde/core/mdde/agent/abc/abc_agent.py | from abc import ABC, abstractmethod
from typing import Sequence, Union, Tuple, Any
import re
import numpy as np
from mdde.agent.abc import NodeAgentMapping
from mdde.agent.enums import EActionResult
from mdde.config import ConfigEnvironment
from mdde.registry.protocol import PRegistryReadClient, PRegistryWriteClient
... | 0.941808 | 0.350088 |
class CategoryAttribute(Attribute, _Attribute):
"""
Specifies the name of the category in which to group the property or event when displayed in a System.Windows.Forms.PropertyGrid control set to Categorized mode.
CategoryAttribute()
CategoryAttribute(category: str)
"""
def Equals(self, obj... | release/stubs.min/System/ComponentModel/__init___parts/CategoryAttribute.py | class CategoryAttribute(Attribute, _Attribute):
"""
Specifies the name of the category in which to group the property or event when displayed in a System.Windows.Forms.PropertyGrid control set to Categorized mode.
CategoryAttribute()
CategoryAttribute(category: str)
"""
def Equals(self, obj... | 0.823719 | 0.408926 |
import json
import math
import unittest
from pytopojson import (
feature,
mesh,
stitch,
)
class MeshTestCase(unittest.TestCase):
def setUp(self):
self.feature = feature.Feature()
self.mesh = mesh.Mesh()
self.stitch = stitch.Stitch()
def test_mesh_ignores_null_geometries(s... | tests/test_mesh.py | import json
import math
import unittest
from pytopojson import (
feature,
mesh,
stitch,
)
class MeshTestCase(unittest.TestCase):
def setUp(self):
self.feature = feature.Feature()
self.mesh = mesh.Mesh()
self.stitch = stitch.Stitch()
def test_mesh_ignores_null_geometries(s... | 0.552298 | 0.456773 |
from pathlib import Path
from time import time
import tempfile
import pytest
from target_extraction.data_types import TargetTextCollection
from target_extraction.dataset_parsers import CACHE_DIRECTORY
from target_extraction.dataset_parsers import download_election_folder
from target_extraction.dataset_parsers import ... | tests/dataset_parsers/wang_2017_election_test.py | from pathlib import Path
from time import time
import tempfile
import pytest
from target_extraction.data_types import TargetTextCollection
from target_extraction.dataset_parsers import CACHE_DIRECTORY
from target_extraction.dataset_parsers import download_election_folder
from target_extraction.dataset_parsers import ... | 0.505859 | 0.442516 |
import logging
from common_utils_py.did import did_to_id
from contracts_lib_py.keeper import Keeper
from contracts_lib_py.utils import process_fulfill_condition
from eth_utils import add_0x_prefix
logger = logging.getLogger(__name__)
def fulfill_access_secret_store_condition(event, agreement_id, did, service_agreem... | nevermined_gateway_events/event_handlers/lockRewardCondition.py | import logging
from common_utils_py.did import did_to_id
from contracts_lib_py.keeper import Keeper
from contracts_lib_py.utils import process_fulfill_condition
from eth_utils import add_0x_prefix
logger = logging.getLogger(__name__)
def fulfill_access_secret_store_condition(event, agreement_id, did, service_agreem... | 0.646125 | 0.115536 |
"""Tests for load_bigquery_stats."""
import datetime
import unittest
import flask
import mock
import webtest
from clusterfuzz._internal.datastore import data_types
from clusterfuzz._internal.tests.test_libs import helpers as test_helpers
from clusterfuzz._internal.tests.test_libs import test_utils
from handlers.cron ... | src/clusterfuzz/_internal/tests/appengine/handlers/cron/load_bigquery_stats_test.py | """Tests for load_bigquery_stats."""
import datetime
import unittest
import flask
import mock
import webtest
from clusterfuzz._internal.datastore import data_types
from clusterfuzz._internal.tests.test_libs import helpers as test_helpers
from clusterfuzz._internal.tests.test_libs import test_utils
from handlers.cron ... | 0.560974 | 0.314616 |
from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
import os
required_conan_version = ">=1.33.0"
class VulkanLoaderConan(ConanFile):
name = "vulkan-loader"
description = "Khronos official Vulkan ICD desktop loader for Windows, Linux, and MacOS."
topics = ("vulk... | recipes/vulkan-loader/all/conanfile.py | from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
import os
required_conan_version = ">=1.33.0"
class VulkanLoaderConan(ConanFile):
name = "vulkan-loader"
description = "Khronos official Vulkan ICD desktop loader for Windows, Linux, and MacOS."
topics = ("vulk... | 0.297878 | 0.133669 |
import argparse
import os
import pickle
import GPUtil
import numpy as np
from rte_pac.utils.data_reader import embed_data_set_with_glove_2, load_feature_by_data_set, \
number_feature, generate_concat_indices_for_inter_evidence, generate_concat_indices_for_claim
from rte_pac.utils.estimator_definitions import get_... | src/scripts/rte.py | import argparse
import os
import pickle
import GPUtil
import numpy as np
from rte_pac.utils.data_reader import embed_data_set_with_glove_2, load_feature_by_data_set, \
number_feature, generate_concat_indices_for_inter_evidence, generate_concat_indices_for_claim
from rte_pac.utils.estimator_definitions import get_... | 0.347426 | 0.09236 |
import random
import pytest
import networkx as nx
import pandas as pd
from stellargraph.mapper import DirectedGraphSAGENodeGenerator
from stellargraph.core.graph import StellarGraph, StellarDiGraph
def create_simple_graph():
"""
Creates a simple directed graph for testing. The node ids are integers.
Ret... | tests/mapper/test_directed_node_generator.py |
import random
import pytest
import networkx as nx
import pandas as pd
from stellargraph.mapper import DirectedGraphSAGENodeGenerator
from stellargraph.core.graph import StellarGraph, StellarDiGraph
def create_simple_graph():
"""
Creates a simple directed graph for testing. The node ids are integers.
Ret... | 0.765506 | 0.708944 |
import torch
from torch.utils.data import Dataset
import numpy as np
import dgl
from dgl.data.utils import download, extract_archive, get_download_dir
from .mol_tree_nx import DGLMolTree
from .mol_tree import Vocab
from .mpn import mol2dgl_single as mol2dgl_enc
from .jtmpn import mol2dgl_single as mol2dgl_dec
from .j... | examples/pytorch/jtnn/jtnn/datautils.py | import torch
from torch.utils.data import Dataset
import numpy as np
import dgl
from dgl.data.utils import download, extract_archive, get_download_dir
from .mol_tree_nx import DGLMolTree
from .mol_tree import Vocab
from .mpn import mol2dgl_single as mol2dgl_enc
from .jtmpn import mol2dgl_single as mol2dgl_dec
from .j... | 0.494873 | 0.350727 |
from django import forms
from django.contrib import messages
from django.core.exceptions import ValidationError
from django.db.models import ObjectDoesNotExist
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.translation import ugettext as _
from django.views import generic
from plata... | examples/custom/views.py | from django import forms
from django.contrib import messages
from django.core.exceptions import ValidationError
from django.db.models import ObjectDoesNotExist
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.translation import ugettext as _
from django.views import generic
from plata... | 0.516108 | 0.10923 |
import os
import re
import inspect
import importlib
from lxml import etree
import click
import jinja2
from prompt_toolkit import (
prompt
)
from prompt_toolkit.contrib.completers import WordCompleter
from prompt_toolkit.shortcuts import print_tokens
from botocore import xform_name
from botocore.session import Ses... | scripts/scaffold.py | import os
import re
import inspect
import importlib
from lxml import etree
import click
import jinja2
from prompt_toolkit import (
prompt
)
from prompt_toolkit.contrib.completers import WordCompleter
from prompt_toolkit.shortcuts import print_tokens
from botocore import xform_name
from botocore.session import Ses... | 0.224565 | 0.090093 |
from selfdrive.kegman_conf import kegman_conf
class AtomConf():
def __init__(self, CP=None):
self.kegman = kegman_conf()
self.tun_type = 'lqr'
self.sR_KPH = [0] # Speed kph
self.sR_BPV = [[0,]]
self.sR_steerRatioV = [[13.85,]]
self.sR_ActuatorDelayV = [[0.1,]]
self... | selfdrive/atom_conf.py | from selfdrive.kegman_conf import kegman_conf
class AtomConf():
def __init__(self, CP=None):
self.kegman = kegman_conf()
self.tun_type = 'lqr'
self.sR_KPH = [0] # Speed kph
self.sR_BPV = [[0,]]
self.sR_steerRatioV = [[13.85,]]
self.sR_ActuatorDelayV = [[0.1,]]
self... | 0.309337 | 0.09122 |
def part1(input_str: str) -> None:
numbers: list[str] = input_str.split('\n')
place_counts:dict[int, dict[int, int]] = get_place_counts(numbers)
gamma_rate = ''
epsilon_rate = ''
for k, v in place_counts.items():
if v.get(0, 0) > v.get(1, 0):
gamma_rate += '0'
epsilon... | python/2021/aoc2021day3.py | def part1(input_str: str) -> None:
numbers: list[str] = input_str.split('\n')
place_counts:dict[int, dict[int, int]] = get_place_counts(numbers)
gamma_rate = ''
epsilon_rate = ''
for k, v in place_counts.items():
if v.get(0, 0) > v.get(1, 0):
gamma_rate += '0'
epsilon... | 0.278159 | 0.414425 |
from torchsummary import summary
from torch import nn
import torch.nn.functional as F
class SEBlock(nn.Module):
def __init__(self, in_channels, reduction=16):
super().__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc = nn.Sequential(
nn.Linear(in_channels, in_channels ... | SEResNeXt/SEResNeXt_pytorch.py | from torchsummary import summary
from torch import nn
import torch.nn.functional as F
class SEBlock(nn.Module):
def __init__(self, in_channels, reduction=16):
super().__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.fc = nn.Sequential(
nn.Linear(in_channels, in_channels ... | 0.971712 | 0.510619 |
import time, re, csv, os
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
runList=[]
def connect(driver):
driver.get("https://www.strava.com/login")
driver.find_element_by_id("email").send_keys("<EMAIL>")
driver.find_element_by_id("password").send_keys("<PAS... | web_scraping/onemonth.py | import time, re, csv, os
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
runList=[]
def connect(driver):
driver.get("https://www.strava.com/login")
driver.find_element_by_id("email").send_keys("<EMAIL>")
driver.find_element_by_id("password").send_keys("<PAS... | 0.080919 | 0.069415 |
from file import BankAccountFileWriter
class BankAccount:
def __init__(self, account_number, name, password, value, admin):
self.account_number = account_number
self.name = name
self.password = password
self.value = value
self.admin = admin
def check_account_number(se... | cash_machine.py | from file import BankAccountFileWriter
class BankAccount:
def __init__(self, account_number, name, password, value, admin):
self.account_number = account_number
self.name = name
self.password = password
self.value = value
self.admin = admin
def check_account_number(se... | 0.572842 | 0.247726 |
import abc
import logging
import time
import warnings
from enum import Enum
from typing import Any
from dateutil.parser import parse
from great_expectations.core import ExpectationSuite, RunIdentifier
from great_expectations.exceptions import GreatExpectationsError
from ..data_asset import DataAsset
from ..dataset i... | great_expectations/profile/base.py | import abc
import logging
import time
import warnings
from enum import Enum
from typing import Any
from dateutil.parser import parse
from great_expectations.core import ExpectationSuite, RunIdentifier
from great_expectations.exceptions import GreatExpectationsError
from ..data_asset import DataAsset
from ..dataset i... | 0.757615 | 0.300386 |
import os
import sys
import json
import base64
import argparse
import subprocess
import collections
from copy import deepcopy
import torch.cuda
from .multinode_runner import PDSHRunner, OpenMPIRunner, MVAPICHRunner
from .constants import PDSH_LAUNCHER, OPENMPI_LAUNCHER, MVAPICH_LAUNCHER
from ..constants import TORCH_... | deepspeed/launcher/runner.py | import os
import sys
import json
import base64
import argparse
import subprocess
import collections
from copy import deepcopy
import torch.cuda
from .multinode_runner import PDSHRunner, OpenMPIRunner, MVAPICHRunner
from .constants import PDSH_LAUNCHER, OPENMPI_LAUNCHER, MVAPICH_LAUNCHER
from ..constants import TORCH_... | 0.452536 | 0.083516 |
from __future__ import print_function
import unittest
import numpy as np
import os
import sys
import six
import paddle
import paddle.nn as nn
import paddle.optimizer as opt
import paddle.fluid as fluid
from paddle.fluid.optimizer import Adam
import paddle.fluid.framework as framework
from test_imperative_base import... | python/paddle/fluid/tests/unittests/test_paddle_save_load.py |
from __future__ import print_function
import unittest
import numpy as np
import os
import sys
import six
import paddle
import paddle.nn as nn
import paddle.optimizer as opt
import paddle.fluid as fluid
from paddle.fluid.optimizer import Adam
import paddle.fluid.framework as framework
from test_imperative_base import... | 0.619586 | 0.29054 |
import unittest
import numpy as np
from mo.middle.passes.fusing.decomposition import convert_scale_shift_to_mul_add, convert_batch_norm
from mo.utils.unittest.graph import build_graph
from mo.utils.ir_engine.compare_graphs import compare_graphs
nodes_attributes = {
'placeholder_1': {'shape': None, 'type': 'Param... | model-optimizer/mo/middle/passes/fusing/decomposition_test.py | import unittest
import numpy as np
from mo.middle.passes.fusing.decomposition import convert_scale_shift_to_mul_add, convert_batch_norm
from mo.utils.unittest.graph import build_graph
from mo.utils.ir_engine.compare_graphs import compare_graphs
nodes_attributes = {
'placeholder_1': {'shape': None, 'type': 'Param... | 0.557966 | 0.396068 |
import six
import tensorflow as tf
from deeplab import common
from deeplab import model
from deeplab.datasets import segmentation_dataset
from deeplab.utils import input_generator
from deeplab.utils import train_utils
from deployment import model_deploy
import numpy as np
slim = tf.contrib.slim
prefetch_queue = slim.p... | research/deeplab/train.py | import six
import tensorflow as tf
from deeplab import common
from deeplab import model
from deeplab.datasets import segmentation_dataset
from deeplab.utils import input_generator
from deeplab.utils import train_utils
from deployment import model_deploy
import numpy as np
slim = tf.contrib.slim
prefetch_queue = slim.p... | 0.898254 | 0.383728 |
import random
def main():
Name= raw_input("Your name:")
phone= raw_input ("Your current phone:")
sp= smartphone()
cp= currentPhone()
p=output(Name,phone,cp,sp)
print p
def calculation(afford,use,superRandom,password):
return afford,use,superRandom,password
def smartphone():
afford= money()
use= re... | conditionals.py | import random
def main():
Name= raw_input("Your name:")
phone= raw_input ("Your current phone:")
sp= smartphone()
cp= currentPhone()
p=output(Name,phone,cp,sp)
print p
def calculation(afford,use,superRandom,password):
return afford,use,superRandom,password
def smartphone():
afford= money()
use= re... | 0.136551 | 0.121425 |
import tensorflow as tf
import tensorflow.contrib.slim as slim
import logging
from convlstm import ConvGRUCell, ConvLSTMCell
logger = logging.getLogger('mview3d.' + __name__)
def get_bias(shape, name='bias'):
return tf.get_variable(
name, shape=shape, initializer=tf.constant_initializer(0.0))
def get_... | ops.py | import tensorflow as tf
import tensorflow.contrib.slim as slim
import logging
from convlstm import ConvGRUCell, ConvLSTMCell
logger = logging.getLogger('mview3d.' + __name__)
def get_bias(shape, name='bias'):
return tf.get_variable(
name, shape=shape, initializer=tf.constant_initializer(0.0))
def get_... | 0.837188 | 0.482185 |
from __future__ import print_function
import logging
import os
import sys
import math
import random
import re
from six.moves import input
import apimetrics
logging.basicConfig(
stream=sys.stdout,
format='%(asctime)s:%(levelname)s: %(message)s',
level=os.environ.get('DEBUG_LEVEL') or logging.INFO)
log = lo... | apimetrics/scripts/deploy_all_apis.py | from __future__ import print_function
import logging
import os
import sys
import math
import random
import re
from six.moves import input
import apimetrics
logging.basicConfig(
stream=sys.stdout,
format='%(asctime)s:%(levelname)s: %(message)s',
level=os.environ.get('DEBUG_LEVEL') or logging.INFO)
log = lo... | 0.34632 | 0.054676 |
from spack import *
import re
import os
import glob
class Zoltan(Package):
"""The Zoltan library is a toolkit of parallel combinatorial algorithms
for parallel, unstructured, and/or adaptive scientific
applications. Zoltan's largest component is a suite of dynamic
load-balancing and partit... | var/spack/repos/builtin/packages/zoltan/package.py |
from spack import *
import re
import os
import glob
class Zoltan(Package):
"""The Zoltan library is a toolkit of parallel combinatorial algorithms
for parallel, unstructured, and/or adaptive scientific
applications. Zoltan's largest component is a suite of dynamic
load-balancing and partit... | 0.469763 | 0.245266 |
import pytest
from niacin.text.en import word
@pytest.mark.parametrize(
"string,p,exp",
[
("", 0.0, ""),
("", 1.0, ""),
("The man has a brown dog", 0.0, "The man has a brown dog"),
("The man has a brown dog", 1.0, "man has brown dog"),
],
)
def test_remove_articles(string... | tests/test_text/test_en/test_word.py |
import pytest
from niacin.text.en import word
@pytest.mark.parametrize(
"string,p,exp",
[
("", 0.0, ""),
("", 1.0, ""),
("The man has a brown dog", 0.0, "The man has a brown dog"),
("The man has a brown dog", 1.0, "man has brown dog"),
],
)
def test_remove_articles(string... | 0.477067 | 0.71103 |
import warnings
'''
Base environment definitions
See docs/api.md for api documentation
See docs/dev_docs.md for additional documentation and an example environment.
'''
class AECEnv:
'''
The AECEnv steps agents one at a time. If you are unsure if you
have implemented a AECEnv correctly, try running the ... | pettingzoo/utils/env.py | import warnings
'''
Base environment definitions
See docs/api.md for api documentation
See docs/dev_docs.md for additional documentation and an example environment.
'''
class AECEnv:
'''
The AECEnv steps agents one at a time. If you are unsure if you
have implemented a AECEnv correctly, try running the ... | 0.8308 | 0.51879 |
import datetime
import json
import pytest
from app import app
from app.db_connection import get_db_connection
@pytest.fixture()
def clean_up():
print("setup")
yield
print("deleting")
docs = [
'2021-06-01_ACT_Estropada-test',
'2021-06-01_ARC1_Estropada-test2',
'2021-06-02_ARC1_E... | test/test_estropadak.py | import datetime
import json
import pytest
from app import app
from app.db_connection import get_db_connection
@pytest.fixture()
def clean_up():
print("setup")
yield
print("deleting")
docs = [
'2021-06-01_ACT_Estropada-test',
'2021-06-01_ARC1_Estropada-test2',
'2021-06-02_ARC1_E... | 0.266644 | 0.298137 |
import os
import unittest
from test import support
spwd = support.import_module('spwd')
@unittest.skipUnless(hasattr(os, 'geteuid') and os.geteuid() == 0,
'root privileges required')
class TestSpwdRoot(unittest.TestCase):
def test_getspall(self):
entries = spwd.getspall()
se... | Lib/test/test_spwd.py | import os
import unittest
from test import support
spwd = support.import_module('spwd')
@unittest.skipUnless(hasattr(os, 'geteuid') and os.geteuid() == 0,
'root privileges required')
class TestSpwdRoot(unittest.TestCase):
def test_getspall(self):
entries = spwd.getspall()
se... | 0.428712 | 0.432243 |
class MiscellaneousLoads:
def anpres(self, nfram="", delay="", ncycl="", refframe="", **kwargs):
"""Produces an animated sequence of the time-harmonic pressure variation
APDL Command: ANPRES
of an engine-order excitation in a cyclic harmonic analysis.
Parameters
----------
... | ansys/mapdl/core/_commands/solution/miscellaneous_loads.py | class MiscellaneousLoads:
def anpres(self, nfram="", delay="", ncycl="", refframe="", **kwargs):
"""Produces an animated sequence of the time-harmonic pressure variation
APDL Command: ANPRES
of an engine-order excitation in a cyclic harmonic analysis.
Parameters
----------
... | 0.967 | 0.835618 |
import asyncio
import logging
from collections import OrderedDict
import voluptuous as vol
from homeassistant.components.media_player import (
MediaPlayerDevice, PLATFORM_SCHEMA)
from homeassistant.components.media_player.const import (
DOMAIN, SUPPORT_SELECT_SOURCE, SUPPORT_TURN_OFF,
SUPPORT_TURN_ON, SUP... | homeassistant/components/songpal/media_player.py | import asyncio
import logging
from collections import OrderedDict
import voluptuous as vol
from homeassistant.components.media_player import (
MediaPlayerDevice, PLATFORM_SCHEMA)
from homeassistant.components.media_player.const import (
DOMAIN, SUPPORT_SELECT_SOURCE, SUPPORT_TURN_OFF,
SUPPORT_TURN_ON, SUP... | 0.522689 | 0.09739 |
import sys
import gym
import pybullet_envs
import argparse
import itertools
import collections
import copy
import time
import numpy as np
import torch
import torch.nn as nn
import torch.multiprocessing as mp
from tensorboardX import SummaryWriter
NOISE_STD = 0.005
POPULATION_SIZE = 2000
PARENTS_COUNT = 10
WORKERS_C... | Chapter20/05_cheetah_ga_batch.py | import sys
import gym
import pybullet_envs
import argparse
import itertools
import collections
import copy
import time
import numpy as np
import torch
import torch.nn as nn
import torch.multiprocessing as mp
from tensorboardX import SummaryWriter
NOISE_STD = 0.005
POPULATION_SIZE = 2000
PARENTS_COUNT = 10
WORKERS_C... | 0.709724 | 0.419053 |
from .test_utils import BaseWrapperTestCase
class TestDirtyInput(BaseWrapperTestCase):
def test_function_call_with_internal_trailing_comma(self) -> None:
self.assertTransform(
1,
8,
"""
foo('abcd', 1234, spam='ham',)
""",
"""
... | tests/tests_dirty_input.py | from .test_utils import BaseWrapperTestCase
class TestDirtyInput(BaseWrapperTestCase):
def test_function_call_with_internal_trailing_comma(self) -> None:
self.assertTransform(
1,
8,
"""
foo('abcd', 1234, spam='ham',)
""",
"""
... | 0.688154 | 0.47384 |
from __future__ import unicode_literals
import re
from boto3 import Session
from collections import defaultdict
from moto.core import ACCOUNT_ID, BaseBackend, BaseModel
from moto.core.exceptions import RESTError
from moto.cloudformation import cloudformation_backends
import datetime
import time
import uuid
import it... | moto/ssm/models.py | from __future__ import unicode_literals
import re
from boto3 import Session
from collections import defaultdict
from moto.core import ACCOUNT_ID, BaseBackend, BaseModel
from moto.core.exceptions import RESTError
from moto.cloudformation import cloudformation_backends
import datetime
import time
import uuid
import it... | 0.379034 | 0.071656 |
import cv2
import numpy as np
import os
"""
์ด ์คํฌ๋ฆฝํธ๋ ๊ธฐ๋ณธ์ ์ผ๋ก ์์งํ ์๋ณธ ๋ฐ์ดํฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ฐ์ดํฐ ์ฆ๊ฐ ์์
์ ์ํํ์ฌ
๋ฅ๋ฌ๋ ๋ชจ๋ธ์ด ํ์ต ํ ์ ์๋ ๋ฐ์ดํฐ์
์ ๋๋ฆฌ๊ธฐ ์ํ ์คํฌ๋ฆฝํธ์ด๋ค.
openCV ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ์ง์ ์ฌ์ฉํ์ฌ ์ด๋ฏธ์ง ์์ ๋ฐ ์ ์ฅ์ ํ์์ผ๋, ๋์ค์ ์ฐพ์๋ณด๋
Keras ์์๋ ImageGenerator๋ฅผ ์ฌ์ฉํด์ ์ ์ฌํ ์์
์ ํ ์ ์๋ค๊ณ ํ๋ค... ใ
"""
TS_PATH = "C:\\Users\\dry8r3ad\\PycharmProjects\\catBreedClassifier\\data\\"
TS... | trainingModel/dataAgumentation.py | import cv2
import numpy as np
import os
"""
์ด ์คํฌ๋ฆฝํธ๋ ๊ธฐ๋ณธ์ ์ผ๋ก ์์งํ ์๋ณธ ๋ฐ์ดํฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๋ฐ์ดํฐ ์ฆ๊ฐ ์์
์ ์ํํ์ฌ
๋ฅ๋ฌ๋ ๋ชจ๋ธ์ด ํ์ต ํ ์ ์๋ ๋ฐ์ดํฐ์
์ ๋๋ฆฌ๊ธฐ ์ํ ์คํฌ๋ฆฝํธ์ด๋ค.
openCV ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ์ง์ ์ฌ์ฉํ์ฌ ์ด๋ฏธ์ง ์์ ๋ฐ ์ ์ฅ์ ํ์์ผ๋, ๋์ค์ ์ฐพ์๋ณด๋
Keras ์์๋ ImageGenerator๋ฅผ ์ฌ์ฉํด์ ์ ์ฌํ ์์
์ ํ ์ ์๋ค๊ณ ํ๋ค... ใ
"""
TS_PATH = "C:\\Users\\dry8r3ad\\PycharmProjects\\catBreedClassifier\\data\\"
TS... | 0.287668 | 0.530541 |
from __future__ import unicode_literals
from ..utils import int_or_none, parse_iso8601
from .telecinco import TelecincoIE
class MiTeleIE(TelecincoIE):
IE_DESC = "mitele.es"
_VALID_URL = r"https?://(?:www\.)?mitele\.es/(?:[^/]+/)+(?P<id>[^/]+)/player"
_TESTS = [
{
"url": "http://www.m... | nextdl/extractor/mitele.py | from __future__ import unicode_literals
from ..utils import int_or_none, parse_iso8601
from .telecinco import TelecincoIE
class MiTeleIE(TelecincoIE):
IE_DESC = "mitele.es"
_VALID_URL = r"https?://(?:www\.)?mitele\.es/(?:[^/]+/)+(?P<id>[^/]+)/player"
_TESTS = [
{
"url": "http://www.m... | 0.390127 | 0.214836 |
from django.shortcuts import render,redirect
from .forms import SignupForm,CreateProfile,UploadNewProject
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
from django.views.generic.edit import CreateView
from .models import Profile, Project, Rating
from django.contrib.auth... | award_app/views.py | from django.shortcuts import render,redirect
from .forms import SignupForm,CreateProfile,UploadNewProject
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
from django.views.generic.edit import CreateView
from .models import Profile, Project, Rating
from django.contrib.auth... | 0.421433 | 0.095518 |
import uuid
from glance.api import policy
from glance.openstack.common import local
class RequestContext(object):
"""Stores information about the security context.
Stores how the user accesses the system, as well as additional request
information.
"""
user_idt_format = '{user} {tenant} {domai... | glance/context.py |
import uuid
from glance.api import policy
from glance.openstack.common import local
class RequestContext(object):
"""Stores information about the security context.
Stores how the user accesses the system, as well as additional request
information.
"""
user_idt_format = '{user} {tenant} {domai... | 0.752649 | 0.100392 |
from django.conf import settings
from django.core.management import base
from django.utils import timezone
from django.contrib.auth.models import Permission, Group
from django.contrib.contenttypes.models import ContentType
from users.models import PermissionSupport
DELIMETER = '\n- '
class Command(base.BaseCommand... | api/users/management/commands/rebuild_permissions.py | from django.conf import settings
from django.core.management import base
from django.utils import timezone
from django.contrib.auth.models import Permission, Group
from django.contrib.contenttypes.models import ContentType
from users.models import PermissionSupport
DELIMETER = '\n- '
class Command(base.BaseCommand... | 0.551574 | 0.101278 |
import numpy as np
import daproli as dp
import unittest
class TransformerTest(unittest.TestCase):
def test_Mapper(self):
data = range(100)
func = lambda x : x**2
res1 = dp.map(func, data)
res2 = dp.Mapper(func).transform(data)
self.assertEqual(res1, res2)
def test_... | daproli/tests/test_transformer.py | import numpy as np
import daproli as dp
import unittest
class TransformerTest(unittest.TestCase):
def test_Mapper(self):
data = range(100)
func = lambda x : x**2
res1 = dp.map(func, data)
res2 = dp.Mapper(func).transform(data)
self.assertEqual(res1, res2)
def test_... | 0.729905 | 0.845624 |