code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import csv
from datetime import datetime
from decimal import Decimal
from time import sleep
from selenium.common.exceptions import TimeoutException, WebDriverException
from selenium.webdriver import Chrome, ChromeOptions
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by... | src/autobidder.py | import csv
from datetime import datetime
from decimal import Decimal
from time import sleep
from selenium.common.exceptions import TimeoutException, WebDriverException
from selenium.webdriver import Chrome, ChromeOptions
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by... | 0.346099 | 0.083965 |
from game_entities.command import Command
class ActionMapper:
def __init__(self):
self.__super_move = []
# TODO: Read the action mapping dictionaries from external json
self.__actions_mapping = {'jump': ['Up'], 'forward_flip': ['Up', 'Right'], 'forward': ['Right'],
... | agent/simulation/util/action_mapper.py | from game_entities.command import Command
class ActionMapper:
def __init__(self):
self.__super_move = []
# TODO: Read the action mapping dictionaries from external json
self.__actions_mapping = {'jump': ['Up'], 'forward_flip': ['Up', 'Right'], 'forward': ['Right'],
... | 0.276984 | 0.494812 |
import argparse
from typing import Union
from rasa.constants import DEFAULT_MODELS_PATH, DEFAULT_CONFIG_PATH
from rasa.cli.arguments.default_arguments import (
add_stories_param,
add_model_param,
add_nlu_data_param,
add_endpoint_param,
add_out_param,
)
from rasa.model import get_latest_model
def... | rasa/cli/arguments/test.py | import argparse
from typing import Union
from rasa.constants import DEFAULT_MODELS_PATH, DEFAULT_CONFIG_PATH
from rasa.cli.arguments.default_arguments import (
add_stories_param,
add_model_param,
add_nlu_data_param,
add_endpoint_param,
add_out_param,
)
from rasa.model import get_latest_model
def... | 0.820541 | 0.232844 |
import logging
import os as os_lib
from shutil import copyfile
import boto3
import pytest
import yaml
from assertpy import assert_that
from remote_command_executor import RemoteCommandExecutor
from s3_common_utils import check_s3_read_resource, check_s3_read_write_resource, get_policy_resources
from tests.common.asse... | tests/integration-tests/tests/iam/test_iam.py | import logging
import os as os_lib
from shutil import copyfile
import boto3
import pytest
import yaml
from assertpy import assert_that
from remote_command_executor import RemoteCommandExecutor
from s3_common_utils import check_s3_read_resource, check_s3_read_write_resource, get_policy_resources
from tests.common.asse... | 0.455925 | 0.160266 |
import datetime
from typing import Optional, Union
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from airflow_indexima.connection import ConnectionDecorator
from airflow_indexima.hooks.indexima import IndeximaHook
__all__ = ['IndeximaHookBasedOperator', 'IndeximaQueryRu... | airflow_indexima/operators/indexima.py | import datetime
from typing import Optional, Union
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from airflow_indexima.connection import ConnectionDecorator
from airflow_indexima.hooks.indexima import IndeximaHook
__all__ = ['IndeximaHookBasedOperator', 'IndeximaQueryRu... | 0.8987 | 0.468243 |
import argparse
import ast
import itertools
import json
import os
import sys
import _jsonnet
import asdl
import astor
import torch
import tqdm
from seq2struct import beam_search
from seq2struct import datasets
from seq2struct import models
from seq2struct import optimizers
from seq2struct.utils import registry
from s... | infer.py | import argparse
import ast
import itertools
import json
import os
import sys
import _jsonnet
import asdl
import astor
import torch
import tqdm
from seq2struct import beam_search
from seq2struct import datasets
from seq2struct import models
from seq2struct import optimizers
from seq2struct.utils import registry
from s... | 0.2587 | 0.109563 |
from functools import partial
from invenio_records.systemfields import SystemField
from ...resolvers.base import EntityProxy
from ...resolvers.registry import ResolverRegistry
class ReferencedEntityField(SystemField):
"""Systemfield for managing the request type."""
def __init__(self, key=None, reference_c... | invenio_requests/records/systemfields/entity_reference.py | from functools import partial
from invenio_records.systemfields import SystemField
from ...resolvers.base import EntityProxy
from ...resolvers.registry import ResolverRegistry
class ReferencedEntityField(SystemField):
"""Systemfield for managing the request type."""
def __init__(self, key=None, reference_c... | 0.8321 | 0.203529 |
_base_ = [
'../_base_/datasets/sunrgbd-3d-10class.py',
'../_base_/schedules/schedule_3x.py', '../_base_/default_runtime.py',
'../_base_/models/imvotenet_image.py'
]
class_names = ('bed', 'table', 'sofa', 'chair', 'toilet', 'desk', 'dresser',
'night_stand', 'bookshelf', 'bathtub')
# use caff... | configs/imvotenet/imvotenet-v2_stage2_16x8_sunrgbd-3d-10class.py | _base_ = [
'../_base_/datasets/sunrgbd-3d-10class.py',
'../_base_/schedules/schedule_3x.py', '../_base_/default_runtime.py',
'../_base_/models/imvotenet_image.py'
]
class_names = ('bed', 'table', 'sofa', 'chair', 'toilet', 'desk', 'dresser',
'night_stand', 'bookshelf', 'bathtub')
# use caff... | 0.59514 | 0.206834 |
import yaml
import datetime
import time
import sys
import os
def parse_config_file(configlocation=None):
"""
Reads config data from the config file
the config file must be called config.yml.
Parameters
----------
configlocation : str
the path on the filesystem to the config file. Op... | pytentiostat/config_reader.py | import yaml
import datetime
import time
import sys
import os
def parse_config_file(configlocation=None):
"""
Reads config data from the config file
the config file must be called config.yml.
Parameters
----------
configlocation : str
the path on the filesystem to the config file. Op... | 0.463687 | 0.121451 |
import mock
import pytest
from paasta_tools import firewall
from paasta_tools import iptables
from paasta_tools.utils import DEFAULT_SOA_DIR
from paasta_tools.utils import NoConfigurationForServiceError
EMPTY_RULE = iptables.Rule(
protocol="ip",
src="0.0.0.0/0.0.0.0",
dst="0.0.0.0/0.0.0.0",
target=No... | tests/test_firewall.py | import mock
import pytest
from paasta_tools import firewall
from paasta_tools import iptables
from paasta_tools.utils import DEFAULT_SOA_DIR
from paasta_tools.utils import NoConfigurationForServiceError
EMPTY_RULE = iptables.Rule(
protocol="ip",
src="0.0.0.0/0.0.0.0",
dst="0.0.0.0/0.0.0.0",
target=No... | 0.508056 | 0.353568 |
from copy import deepcopy
class Algoz:
def __init__(self, entrada, pilha, estado_inicial, epsilon):
self.epsilon = epsilon
self.entrada = entrada # entrada já é um vetor
self.pilha = pilha
self.estado_atual = estado_inicial
def verifica_pilha(self, dados): ## verifica topo da... | src/execucao.py | from copy import deepcopy
class Algoz:
def __init__(self, entrada, pilha, estado_inicial, epsilon):
self.epsilon = epsilon
self.entrada = entrada # entrada já é um vetor
self.pilha = pilha
self.estado_atual = estado_inicial
def verifica_pilha(self, dados): ## verifica topo da... | 0.333829 | 0.438244 |
from __future__ import print_function
from __future__ import absolute_import
from ..base import PageGrabber
from ...colors.default_colors import DefaultBodyColors as bc
import re
import logging
try:
import __builtin__ as bi
except BaseException:
import builtins as bi
class FourOneOneGrabber(PageGrabber):
... | src/skiptracer/plugins/fouroneone/__init__.py | from __future__ import print_function
from __future__ import absolute_import
from ..base import PageGrabber
from ...colors.default_colors import DefaultBodyColors as bc
import re
import logging
try:
import __builtin__ as bi
except BaseException:
import builtins as bi
class FourOneOneGrabber(PageGrabber):
... | 0.387111 | 0.070752 |
from oslo_serialization import jsonutils
from oslo_utils import uuidutils
from osc_lib.command import command
from osc_lib import utils as osc_utils
from oslo_log import log as logging
from karborclient.common.apiclient import exceptions
from karborclient.i18n import _
from karborclient import utils
def format_plan... | karborclient/osc/v1/plans.py | from oslo_serialization import jsonutils
from oslo_utils import uuidutils
from osc_lib.command import command
from osc_lib import utils as osc_utils
from oslo_log import log as logging
from karborclient.common.apiclient import exceptions
from karborclient.i18n import _
from karborclient import utils
def format_plan... | 0.589007 | 0.08374 |
import pytest
import tensorflow as tf
from packaging.version import parse as version
from tensorflow.keras.models import load_model
from tf_keras_vis.activation_maximization import ActivationMaximization
from tf_keras_vis.utils.input_modifiers import Jitter, Rotate
from tf_keras_vis.utils.test import (MockCallback, Mo... | tests/tf-keras-vis/activation_maximization/activation_maximization_test.py | import pytest
import tensorflow as tf
from packaging.version import parse as version
from tensorflow.keras.models import load_model
from tf_keras_vis.activation_maximization import ActivationMaximization
from tf_keras_vis.utils.input_modifiers import Jitter, Rotate
from tf_keras_vis.utils.test import (MockCallback, Mo... | 0.795142 | 0.609321 |
import glob
import json
import numpy as np
import os
import urllib
from flask import Blueprint
from flask import redirect
from flask import render_template
from flask import request
from flask import send_from_directory
from flask import url_for
from joblib import load
from natsort import natsorted
from natsort import... | annotation.py | import glob
import json
import numpy as np
import os
import urllib
from flask import Blueprint
from flask import redirect
from flask import render_template
from flask import request
from flask import send_from_directory
from flask import url_for
from joblib import load
from natsort import natsorted
from natsort import... | 0.57523 | 0.152064 |
from spack import *
class Wget(AutotoolsPackage):
"""GNU Wget is a free software package for retrieving files using
HTTP, HTTPS and FTP, the most widely-used Internet protocols. It is a
non-interactive commandline tool, so it may easily be called from scripts,
cron jobs, terminals without X-Windows su... | package/spack-wget/package.py | from spack import *
class Wget(AutotoolsPackage):
"""GNU Wget is a free software package for retrieving files using
HTTP, HTTPS and FTP, the most widely-used Internet protocols. It is a
non-interactive commandline tool, so it may easily be called from scripts,
cron jobs, terminals without X-Windows su... | 0.54819 | 0.112673 |
from __future__ import absolute_import
import logging
from threatconnect import ThreatConnect
from threatconnect.Config.IndicatorType import IndicatorType
from makobot import slackbot_settings as settings
from .base import Plugin
from .extractor import EmailExtractor, HostExtractor, IPExtractor, \
MD5Extractor... | makobot/plugins/threatconnect.py |
from __future__ import absolute_import
import logging
from threatconnect import ThreatConnect
from threatconnect.Config.IndicatorType import IndicatorType
from makobot import slackbot_settings as settings
from .base import Plugin
from .extractor import EmailExtractor, HostExtractor, IPExtractor, \
MD5Extractor... | 0.508544 | 0.066206 |
from typing import List, Union
import numpy
from .base import Serializable, DEFAULT_STRICT, \
_FloatDescriptor, _IntegerDescriptor, _DateTimeDescriptor, \
_SerializableArrayDescriptor, _SerializableDescriptor
from .blocks import Poly1DType
__classification__ = "UNCLASSIFIED"
__author__ = "<NAME>"
class IP... | sarpy/io/complex/sicd_elements/Timeline.py | from typing import List, Union
import numpy
from .base import Serializable, DEFAULT_STRICT, \
_FloatDescriptor, _IntegerDescriptor, _DateTimeDescriptor, \
_SerializableArrayDescriptor, _SerializableDescriptor
from .blocks import Poly1DType
__classification__ = "UNCLASSIFIED"
__author__ = "<NAME>"
class IP... | 0.847084 | 0.246477 |
import random
board = list('123456789')
wins = ((0,1,2), (3,4,5), (6,7,8),
(0,3,6), (1,4,7), (2,5,8),
(0,4,8), (2,4,6))
def printboard():
print('\n-+-+-\n'.join('|'.join(board[x:x+3]) for x in(0,3,6)))
def score(board=board):
for w in wins:
b = board[w[0]]
if b in 'XO' and all... | Task/Tic-tac-toe/Python/tic-tac-toe-2.py | import random
board = list('123456789')
wins = ((0,1,2), (3,4,5), (6,7,8),
(0,3,6), (1,4,7), (2,5,8),
(0,4,8), (2,4,6))
def printboard():
print('\n-+-+-\n'.join('|'.join(board[x:x+3]) for x in(0,3,6)))
def score(board=board):
for w in wins:
b = board[w[0]]
if b in 'XO' and all... | 0.16975 | 0.200793 |
import GPy
default_seed = 10000
from matplotlib import pyplot as plt
def oil(num_inducing=50, max_iters=100, kernel=None, optimize=True, plot=True):
"""
Run a Gaussian process classification on the three phase oil data. The demonstration calls the basic GP classification model and uses EP to approximate the... | Extraccion de caracteristicas en imagenes/Practica Procesos Gaussianos/prueba_gpy.py | import GPy
default_seed = 10000
from matplotlib import pyplot as plt
def oil(num_inducing=50, max_iters=100, kernel=None, optimize=True, plot=True):
"""
Run a Gaussian process classification on the three phase oil data. The demonstration calls the basic GP classification model and uses EP to approximate the... | 0.731922 | 0.77535 |
"""Main views.py file for current application module."""
#
# Copyright 2018 AKAT TECHNOLOGIES OOD. All rights reserved
#
# Author(s): <NAME> <<EMAIL>>
#
from datetime import timedelta as tdelta
from dateutil.parser import parse as dtparser
from flask_admin.contrib.sqla import ModelView
from flask_admin.model.t... | mods/admin/admin_models.py | """Main views.py file for current application module."""
#
# Copyright 2018 AKAT TECHNOLOGIES OOD. All rights reserved
#
# Author(s): <NAME> <<EMAIL>>
#
from datetime import timedelta as tdelta
from dateutil.parser import parse as dtparser
from flask_admin.contrib.sqla import ModelView
from flask_admin.model.t... | 0.539954 | 0.088347 |
import re
from typing import Mapping, Tuple, Dict
from types import MappingProxyType
from pyorc._pyorc import _schema_from_string
from .enums import TypeKind
class TypeDescription:
name = ""
kind = -1
def __init__(self) -> None:
self._column_id = 0
self._attributes = {}
def __str__... | src/pyorc/typedescription.py | import re
from typing import Mapping, Tuple, Dict
from types import MappingProxyType
from pyorc._pyorc import _schema_from_string
from .enums import TypeKind
class TypeDescription:
name = ""
kind = -1
def __init__(self) -> None:
self._column_id = 0
self._attributes = {}
def __str__... | 0.845081 | 0.227748 |
import numpy as np
import math
from dpfinder.logging import logger
from dpfinder.searcher.searcher import Searcher
from dpfinder.algorithms.algorithms import Algorithm
from dpfinder.searcher.statistics.confidence_interval import get_confidence_interval
from dpfinder.utils.utils import my_to_str
from dpfinder.utils.t... | dpfinder/searcher/tf_searcher.py |
import numpy as np
import math
from dpfinder.logging import logger
from dpfinder.searcher.searcher import Searcher
from dpfinder.algorithms.algorithms import Algorithm
from dpfinder.searcher.statistics.confidence_interval import get_confidence_interval
from dpfinder.utils.utils import my_to_str
from dpfinder.utils.t... | 0.480235 | 0.279927 |
from __future__ import with_statement
import os, xmlrpclib, datetime, sys, SocketServer
#sys.path.insert(0, os.path.join(os.path.normpath(os.path.dirname(os.path.abspath(sys.argv[0]))), 'lib'))
from DocXMLRPCServer import DocXMLRPCServer, DocXMLRPCRequestHandler
from SimpleXMLRPCServer import SimpleXMLRPCServer
from ... | .original/zebkit-zebra/tests/io/startup.py | from __future__ import with_statement
import os, xmlrpclib, datetime, sys, SocketServer
#sys.path.insert(0, os.path.join(os.path.normpath(os.path.dirname(os.path.abspath(sys.argv[0]))), 'lib'))
from DocXMLRPCServer import DocXMLRPCServer, DocXMLRPCRequestHandler
from SimpleXMLRPCServer import SimpleXMLRPCServer
from ... | 0.369998 | 0.04736 |
import re
import unittest
from unittest.mock import Mock
# ATS
from pyats.topology import Device
# Parser
from genie.libs.parser.iosxr.show_hsrp import ShowHsrpSummary, ShowHsrpDetail
# Metaparser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
# ======================================
# Unit ... | src/genie/libs/parser/iosxr/tests/test_show_hsrp.py | import re
import unittest
from unittest.mock import Mock
# ATS
from pyats.topology import Device
# Parser
from genie.libs.parser.iosxr.show_hsrp import ShowHsrpSummary, ShowHsrpDetail
# Metaparser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
# ======================================
# Unit ... | 0.441914 | 0.294025 |
import torch.nn as nn
from ptsemseg.models.utils import *
class linknet(nn.Module):
def __init__(self, feature_scale=4, n_classes=21, is_deconv=True, in_channels=3, is_batchnorm=True):
super(linknet, self).__init__()
self.is_deconv = is_deconv
self.in_channels = in_channels
self.i... | ptsemseg/models/linknet.py | import torch.nn as nn
from ptsemseg.models.utils import *
class linknet(nn.Module):
def __init__(self, feature_scale=4, n_classes=21, is_deconv=True, in_channels=3, is_batchnorm=True):
super(linknet, self).__init__()
self.is_deconv = is_deconv
self.in_channels = in_channels
self.i... | 0.917967 | 0.380327 |
from enum import Enum
class StringEnum(Enum):
def __init__(self, text):
self.text = text
class StringTupleEnum(Enum):
def __init__(self, key, text):
self.key = key
self.text = text
class MainMenuEnum(StringEnum):
OVERVIEW = ('Overview')
GRAPH = ('Graph')
APPLICATIONS = ... | kiali_qe/components/enums.py | from enum import Enum
class StringEnum(Enum):
def __init__(self, text):
self.text = text
class StringTupleEnum(Enum):
def __init__(self, key, text):
self.key = key
self.text = text
class MainMenuEnum(StringEnum):
OVERVIEW = ('Overview')
GRAPH = ('Graph')
APPLICATIONS = ... | 0.546254 | 0.050098 |
from .CONSTANTS import FACE_CASCADE, TRAINING_FOLDER, TRAIN_SIZE_PER_MOOD, IMAGE_SIZE, MOODS
# Library Imports
import cv2
import os
import shutil
import pickle
import numpy as np
from sklearn.preprocessing import normalize
def return_faces(image, show=True, return_all=False):
# Grayscale image because color doesn... | MoodDetector/CollectData.py | from .CONSTANTS import FACE_CASCADE, TRAINING_FOLDER, TRAIN_SIZE_PER_MOOD, IMAGE_SIZE, MOODS
# Library Imports
import cv2
import os
import shutil
import pickle
import numpy as np
from sklearn.preprocessing import normalize
def return_faces(image, show=True, return_all=False):
# Grayscale image because color doesn... | 0.574634 | 0.498657 |
from dataclasses import dataclass, field
from typing import List, Optional
from xsdata.models.datatype import XmlDate, XmlPeriod
__NAMESPACE__ = "http://www.tempuri.org"
@dataclass
class Root:
class Meta:
name = "root"
namespace = "http://www.tempuri.org"
test_date: List[XmlDate] = field(
... | output/models/ms_data/errata10/err_e006_xsd/err_e006.py | from dataclasses import dataclass, field
from typing import List, Optional
from xsdata.models.datatype import XmlDate, XmlPeriod
__NAMESPACE__ = "http://www.tempuri.org"
@dataclass
class Root:
class Meta:
name = "root"
namespace = "http://www.tempuri.org"
test_date: List[XmlDate] = field(
... | 0.816991 | 0.439687 |
import socket
from mock import Mock, patch
from snmp import SNMPCollector
from test import CollectorTestCase, get_collector_config
class TestSNMPCollector(CollectorTestCase):
def setUp(self, allowed_names=None):
if not allowed_names:
allowed_names = []
config = get_collector_config... | src/collectors/snmp/test/testsnmp.py | import socket
from mock import Mock, patch
from snmp import SNMPCollector
from test import CollectorTestCase, get_collector_config
class TestSNMPCollector(CollectorTestCase):
def setUp(self, allowed_names=None):
if not allowed_names:
allowed_names = []
config = get_collector_config... | 0.580828 | 0.376594 |
"""Test cloud role maker."""
from __future__ import print_function
import os
import unittest
import paddle.fluid.generator as generator
import time # temp for debug
import paddle.fluid as fluid
import numpy as np
import paddle
import paddle.fluid.core as core
class TestGeneratorSeed(unittest.TestCase):
"""
... | python/paddle/fluid/tests/unittests/test_random_seed.py | """Test cloud role maker."""
from __future__ import print_function
import os
import unittest
import paddle.fluid.generator as generator
import time # temp for debug
import paddle.fluid as fluid
import numpy as np
import paddle
import paddle.fluid.core as core
class TestGeneratorSeed(unittest.TestCase):
"""
... | 0.716318 | 0.412234 |
import json
import logging
from logging import Logger
from typing import Dict, List, Optional
import requests
from requests.models import Response
from twitter_api_v2 import Media, Poll, Tweet, User
logger: Logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
class TwitterAPI:
def __init__(self,... | twitter_api_v2/TwitterAPI.py | import json
import logging
from logging import Logger
from typing import Dict, List, Optional
import requests
from requests.models import Response
from twitter_api_v2 import Media, Poll, Tweet, User
logger: Logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
class TwitterAPI:
def __init__(self,... | 0.724968 | 0.094093 |
from enum import Enum
from flask import json
from flask import current_app as app
from mongoengine.queryset.visitor import Q
from db.models import TaxonNode
from utils.common_functions import resolve_params
DefaultParams = {
'sortOrder': '',
'sortColumn': '',
'taxName': 'Eukaryota',
'status': ' '
}
Fil... | server/services/search_service.py | from enum import Enum
from flask import json
from flask import current_app as app
from mongoengine.queryset.visitor import Q
from db.models import TaxonNode
from utils.common_functions import resolve_params
DefaultParams = {
'sortOrder': '',
'sortColumn': '',
'taxName': 'Eukaryota',
'status': ' '
}
Fil... | 0.511717 | 0.188641 |
import numpy as np
import pickle
import sklearn.metrics
class ClassificationModel:
def __init__(self, name, **kwargs):
self.name = name
self.args = kwargs
def train(self, training_data: np.ndarray, training_labels: np.ndarray):
pass
def predict(self, data: np.ndarray) -> np.ndarr... | base_model.py | import numpy as np
import pickle
import sklearn.metrics
class ClassificationModel:
def __init__(self, name, **kwargs):
self.name = name
self.args = kwargs
def train(self, training_data: np.ndarray, training_labels: np.ndarray):
pass
def predict(self, data: np.ndarray) -> np.ndarr... | 0.849316 | 0.541348 |
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from IPython.display import display
PLOT_COLORS = ['blue', 'green', 'red', 'yellow', 'magenta', 'black']
def get_plot(chars_entropy, words_entropy, unit="bits", languages=["English"], marker='0', save_path = None):
"""Function given two ar... | entropy/plots.py | import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from IPython.display import display
PLOT_COLORS = ['blue', 'green', 'red', 'yellow', 'magenta', 'black']
def get_plot(chars_entropy, words_entropy, unit="bits", languages=["English"], marker='0', save_path = None):
"""Function given two ar... | 0.803174 | 0.624637 |
import matplotlib.pyplot as plt
import numpy as np
import json
import re
def markEpoch(epoch, epochs, stats, ax1, ax2, best):
size = 120 if best else 70
alpha = 0.5 if best else 0.3
stat = stats[str(epoch)]
ax2.scatter([epoch], [stat[2]], s=size, alpha=alpha, color=(109 / 255, 204 / 255, 218 / 255)... | python/statsplot.py |
import matplotlib.pyplot as plt
import numpy as np
import json
import re
def markEpoch(epoch, epochs, stats, ax1, ax2, best):
size = 120 if best else 70
alpha = 0.5 if best else 0.3
stat = stats[str(epoch)]
ax2.scatter([epoch], [stat[2]], s=size, alpha=alpha, color=(109 / 255, 204 / 255, 218 / 255)... | 0.694821 | 0.487124 |
from random import * # random 모듈을 불러온다
from turtle import * # turtle 모듈을 불러온다
from freegames import vector # freegames utils.py에서 선언된 vector를 불러온다
def value(): ... | freegames/Code Description/bounce_d.py | from random import * # random 모듈을 불러온다
from turtle import * # turtle 모듈을 불러온다
from freegames import vector # freegames utils.py에서 선언된 vector를 불러온다
def value(): ... | 0.271348 | 0.567637 |
from typing import Any, Awaitable, Callable, Dict, Optional, Type
from cx_const import Cover, PredefinedActionsMapping
from cx_core.controller import action
from cx_core.feature_support.cover import CoverSupport
from cx_core.type_controller import Entity, TypeController
class CoverController(TypeController[Entity]):... | apps/controllerx/cx_core/type/cover_controller.py | from typing import Any, Awaitable, Callable, Dict, Optional, Type
from cx_const import Cover, PredefinedActionsMapping
from cx_core.controller import action
from cx_core.feature_support.cover import CoverSupport
from cx_core.type_controller import Entity, TypeController
class CoverController(TypeController[Entity]):... | 0.904921 | 0.206314 |
import numpy as np
class AnisotropyConfig(object):
"""
class to manage the anisotropy model and parameters for the Posterior processing
"""
def __init__(self, anisotropy_model, r_eff):
"""
:param anisotropy_model: type of stellar anisotropy model. Supported are 'OM' and 'GOM' or 'cons... | hierarc/LensPosterior/anisotropy_config.py | import numpy as np
class AnisotropyConfig(object):
"""
class to manage the anisotropy model and parameters for the Posterior processing
"""
def __init__(self, anisotropy_model, r_eff):
"""
:param anisotropy_model: type of stellar anisotropy model. Supported are 'OM' and 'GOM' or 'cons... | 0.901097 | 0.576423 |
import asyncio
import pymongo
from functools import partial
from mimetypes import guess_type
import sys
from quart import abort, current_app, request
from gridfs import GridFS, NoFile
from pymongo import uri_parser
from werkzeug.wsgi import wrap_file
from quart_motor.helpers import BSONObjectIdConverter, JSONEncoder... | quart_motor/__init__.py | import asyncio
import pymongo
from functools import partial
from mimetypes import guess_type
import sys
from quart import abort, current_app, request
from gridfs import GridFS, NoFile
from pymongo import uri_parser
from werkzeug.wsgi import wrap_file
from quart_motor.helpers import BSONObjectIdConverter, JSONEncoder... | 0.640861 | 0.1602 |
import unittest
import http.client
if __name__ == '__main__':
from test.main import setup_tincan_path
setup_tincan_path()
from tincan import LRSResponse, HTTPRequest
class LRSResponseTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_init_empty(se... | test/lrs_response_test.py |
import unittest
import http.client
if __name__ == '__main__':
from test.main import setup_tincan_path
setup_tincan_path()
from tincan import LRSResponse, HTTPRequest
class LRSResponseTest(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_init_empty(se... | 0.605216 | 0.363703 |
import sys, logging, openstack_dashboard.api.cdn.util.ApiUtil as util, xml.dom as dom, xml.dom.minidom as minidom
import traceback, base64
from openstack_dashboard.api.cdn.util.ApiUtil import BaseResult
logging.basicConfig(level = logging.ERROR)
logger = logging.getLogger('ws.report')
X_CNC_REQUEST_ID = 'x-cnc-reques... | horizon/openstack_dashboard/api/cdn/api/purgeApi.py | import sys, logging, openstack_dashboard.api.cdn.util.ApiUtil as util, xml.dom as dom, xml.dom.minidom as minidom
import traceback, base64
from openstack_dashboard.api.cdn.util.ApiUtil import BaseResult
logging.basicConfig(level = logging.ERROR)
logger = logging.getLogger('ws.report')
X_CNC_REQUEST_ID = 'x-cnc-reques... | 0.222447 | 0.099426 |
import collections
import gzip
import os
import scipy.io as sio
import numpy as np
def load_omniglot(file_path):
omni_raw = sio.loadmat(file_path)
def reshape_data(data):
return data.reshape((-1, 28, 28)).reshape((-1, 28 * 28), order='fortran')
train_data = reshape_data(omni_raw['data'].T.astype... | vae/data.py | import collections
import gzip
import os
import scipy.io as sio
import numpy as np
def load_omniglot(file_path):
omni_raw = sio.loadmat(file_path)
def reshape_data(data):
return data.reshape((-1, 28, 28)).reshape((-1, 28 * 28), order='fortran')
train_data = reshape_data(omni_raw['data'].T.astype... | 0.379493 | 0.514522 |
import logging
import unittest
import numpy as np
import pandas as pd
from collections import defaultdict
from depmap_analysis.network_functions.net_functions import \
sif_dump_df_to_digraph
from indra_network_search.net import IndraNetwork
logger = logging.getLogger(__name__)
# Get dataframe
df = pd.DataFrame()
... | indra_network_search/tests/test_indra_network.py | import logging
import unittest
import numpy as np
import pandas as pd
from collections import defaultdict
from depmap_analysis.network_functions.net_functions import \
sif_dump_df_to_digraph
from indra_network_search.net import IndraNetwork
logger = logging.getLogger(__name__)
# Get dataframe
df = pd.DataFrame()
... | 0.474388 | 0.461017 |
from mediane.distances.enumeration import GENERALIZED_KENDALL_TAU_DISTANCE, GENERALIZED_INDUCED_KENDALL_TAU_DISTANCE, \
GENERALIZED_KENDALL_TAU_DISTANCE_WITH_UNIFICATION
from mediane.algorithms.median_ranking import MedianRanking, DistanceNotHandledException
from mediane.distances.ScoringScheme import ScoringScheme... | sources/rnt/mediane/algorithms/misc/borda_count.py | from mediane.distances.enumeration import GENERALIZED_KENDALL_TAU_DISTANCE, GENERALIZED_INDUCED_KENDALL_TAU_DISTANCE, \
GENERALIZED_KENDALL_TAU_DISTANCE_WITH_UNIFICATION
from mediane.algorithms.median_ranking import MedianRanking, DistanceNotHandledException
from mediane.distances.ScoringScheme import ScoringScheme... | 0.83056 | 0.369571 |
from msrest.serialization import Model
class BuildFilter(Model):
"""Properties that are enabled for Odata querying.
:param build_id: The unique identifier for the build.
:type build_id: str
:param build_type: The type of build. Possible values include:
'AutoBuild', 'QuickBuild'
:type build_... | azure-mgmt-containerregistry/azure/mgmt/containerregistry/v2018_02_01_preview/models/build_filter_py3.py |
from msrest.serialization import Model
class BuildFilter(Model):
"""Properties that are enabled for Odata querying.
:param build_id: The unique identifier for the build.
:type build_id: str
:param build_type: The type of build. Possible values include:
'AutoBuild', 'QuickBuild'
:type build_... | 0.820254 | 0.331904 |
from muddery.utils import utils
from muddery.statements.statement_function import StatementFunction
class FuncLearnSkill(StatementFunction):
"""
Teach the caller a skill.
Args:
args[0]: (string) skill's key
Returns:
(boolean) learned skill
"""
key = "learn_skill"
const =... | muddery/statements/action.py | from muddery.utils import utils
from muddery.statements.statement_function import StatementFunction
class FuncLearnSkill(StatementFunction):
"""
Teach the caller a skill.
Args:
args[0]: (string) skill's key
Returns:
(boolean) learned skill
"""
key = "learn_skill"
const =... | 0.883085 | 0.390825 |
from __future__ import print_function
import roslib
roslib.load_manifest('robot_guidance')
import rospy
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
from deep_learning import *
from skimage.transform import resize
from std_msgs.msg import Float32, Int8
import sys
import ski... | ros/robot_guidance/robot_guidance/scripts/robot_guidance_dl_node.py | from __future__ import print_function
import roslib
roslib.load_manifest('robot_guidance')
import rospy
import cv2
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
from deep_learning import *
from skimage.transform import resize
from std_msgs.msg import Float32, Int8
import sys
import ski... | 0.136998 | 0.102394 |
import os
import argparse
import json
import subprocess
from a2c_ppo_acktr.multi_agent.utils import get_timestamp, mkdir
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--load-dir")
parser.add_argument("--new-ref-config")
parser.add_argument("--load-step", type=int)
parser.add_... | play.py | import os
import argparse
import json
import subprocess
from a2c_ppo_acktr.multi_agent.utils import get_timestamp, mkdir
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--load-dir")
parser.add_argument("--new-ref-config")
parser.add_argument("--load-step", type=int)
parser.add_... | 0.074164 | 0.055592 |
USAGE = """
Short script to read an ICS calendar and upload new events to
Nightscout.
Pre-Requisites:
pip install ics
Usage:
python calendar_import.py <path-to-file-or-url> <days-to-look-back>
Example:
FILTER="Keyword,Sensitive" NIGHTSCOUT_URL=https://example.url.com \
NIGHTSCOUT_SECRET=s... | calendar_import.py | USAGE = """
Short script to read an ICS calendar and upload new events to
Nightscout.
Pre-Requisites:
pip install ics
Usage:
python calendar_import.py <path-to-file-or-url> <days-to-look-back>
Example:
FILTER="Keyword,Sensitive" NIGHTSCOUT_URL=https://example.url.com \
NIGHTSCOUT_SECRET=s... | 0.505127 | 0.197909 |
import libraries.diffieHellman as diffieHellman
import libraries.steg as steg
from datetime import datetime
from Crypto.Cipher import AES
from Crypto.Util.Padding import pad, unpad
import os
import secrets
import random
key = ""
steg.doLogOutput = False
def mainLoop():
"""loop to pick between starting a new sessi... | controlPanel.py | import libraries.diffieHellman as diffieHellman
import libraries.steg as steg
from datetime import datetime
from Crypto.Cipher import AES
from Crypto.Util.Padding import pad, unpad
import os
import secrets
import random
key = ""
steg.doLogOutput = False
def mainLoop():
"""loop to pick between starting a new sessi... | 0.232746 | 0.132908 |
import pathlib
import subprocess
import tempfile
import pytest
import autosynth.abstract_source
import autosynth.git_source
@pytest.fixture(scope="module")
def git_versions_fixture():
with tempfile.TemporaryDirectory() as temp_dir:
yield autosynth.git_source.enumerate_versions_for_source(
{... | integration_tests/test_git_source.py |
import pathlib
import subprocess
import tempfile
import pytest
import autosynth.abstract_source
import autosynth.git_source
@pytest.fixture(scope="module")
def git_versions_fixture():
with tempfile.TemporaryDirectory() as temp_dir:
yield autosynth.git_source.enumerate_versions_for_source(
{... | 0.411702 | 0.319838 |
from django.db import models
from django.db import IntegrityError
from django.db import transaction
from django.db.models.signals import post_init
from django.db import transaction
from django.db import connection
from django.db.models import Q
import time
import probedb.probedata2.proberun as ProbeData
from django.... | probedb/resultdb2/condition.py |
from django.db import models
from django.db import IntegrityError
from django.db import transaction
from django.db.models.signals import post_init
from django.db import transaction
from django.db import connection
from django.db.models import Q
import time
import probedb.probedata2.proberun as ProbeData
from django.... | 0.286469 | 0.038575 |
import json
import logging
from datetime import datetime, timedelta
from pathlib import Path
import pytest
import pytz
from util.jsontools import (
DateTimeEncoder,
ObjectEncoder,
load_json,
orjson_dumps,
to_json,
)
logger = logging.getLogger(__name__)
@pytest.fixture
def kv():
yield {"key"... | tests/util/test_jsontools.py | import json
import logging
from datetime import datetime, timedelta
from pathlib import Path
import pytest
import pytz
from util.jsontools import (
DateTimeEncoder,
ObjectEncoder,
load_json,
orjson_dumps,
to_json,
)
logger = logging.getLogger(__name__)
@pytest.fixture
def kv():
yield {"key"... | 0.618896 | 0.52616 |
from .symbolic import *
from . import vectorops
import numpy as np
import weakref
_x = Variable("x","V")
_y = Variable("y","V")
_A = Variable("A","M")
norm = Function('norm',np.linalg.norm,['x'],returnType='N')
norm.description = "Returns the L-2 norm of a vector"
norm2 = Function('norm2',dot(_x,_x),['x'],returnType='... | Python/klampt/math/symbolic_linalg.py | from .symbolic import *
from . import vectorops
import numpy as np
import weakref
_x = Variable("x","V")
_y = Variable("y","V")
_A = Variable("A","M")
norm = Function('norm',np.linalg.norm,['x'],returnType='N')
norm.description = "Returns the L-2 norm of a vector"
norm2 = Function('norm2',dot(_x,_x),['x'],returnType='... | 0.477554 | 0.587292 |
from __future__ import unicode_literals
import napalm_yang
import pytest
import json
import os
import sys
import logging
logger = logging.getLogger("napalm-yang")
def config_logging():
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter("%(name)s - %(... | test/integration/test_tutorial.py | from __future__ import unicode_literals
import napalm_yang
import pytest
import json
import os
import sys
import logging
logger = logging.getLogger("napalm-yang")
def config_logging():
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter("%(name)s - %(... | 0.541651 | 0.266253 |
import unittest
import numpy as np
import healpy as hp
from beamconv import tools
class TestTools(unittest.TestCase):
def test_trunc_alm(self):
'''
'''
np.random.seed(39)
self.lmax = 10
self.mmax = 3
self.alm_size = hp.Alm.getsize(self.lmax, mmax=self.mmax)
... | tests/test_tools.py | import unittest
import numpy as np
import healpy as hp
from beamconv import tools
class TestTools(unittest.TestCase):
def test_trunc_alm(self):
'''
'''
np.random.seed(39)
self.lmax = 10
self.mmax = 3
self.alm_size = hp.Alm.getsize(self.lmax, mmax=self.mmax)
... | 0.583559 | 0.661527 |
from django.conf.urls import url
from .views import (
ClassListView, ClassDetailView,
StudentListView, StudentDetailView,
# EmployeeListView, EmployeeDetailView,
NoteListView, NoteDetailView,
ClassroomListView, ClassroomDetailView,
# ParentListView, ParentDetailView,
PositionListView, Position... | dziennik/journal/urls.py | from django.conf.urls import url
from .views import (
ClassListView, ClassDetailView,
StudentListView, StudentDetailView,
# EmployeeListView, EmployeeDetailView,
NoteListView, NoteDetailView,
ClassroomListView, ClassroomDetailView,
# ParentListView, ParentDetailView,
PositionListView, Position... | 0.246896 | 0.071009 |
import numpy as np
import torch
import torch.nn as nn
from torch.nn.utils import parameters_to_vector, clip_grad_norm_
from salina.workspace import Workspace
from svpg.algos.algo import Algo
from svpg.utils.utils import save_algo
class RBF(nn.Module):
def __init__(self, sigma=None):
super(RBF, self).__... | svpg/algos/svpg.py | import numpy as np
import torch
import torch.nn as nn
from torch.nn.utils import parameters_to_vector, clip_grad_norm_
from salina.workspace import Workspace
from svpg.algos.algo import Algo
from svpg.utils.utils import save_algo
class RBF(nn.Module):
def __init__(self, sigma=None):
super(RBF, self).__... | 0.916727 | 0.378545 |
import numbers
import warnings
from .compat import _basestring
def check_threshold(threshold, data, percentile_func, name='threshold'):
""" Checks if the given threshold is in correct format and within the limit.
If necessary, this function also returns score of the data calculated based
upon the given ... | nilearn/_utils/param_validation.py | import numbers
import warnings
from .compat import _basestring
def check_threshold(threshold, data, percentile_func, name='threshold'):
""" Checks if the given threshold is in correct format and within the limit.
If necessary, this function also returns score of the data calculated based
upon the given ... | 0.889996 | 0.730843 |
import sys
import requests
import json
import datetime
from datetime import date,timedelta
def main(dict):
#required parameters - actual secrets are entered in the IBM Function action's paremeter section. DO NOT PUT SECRETS IN CODE
top_info = dict['top_info']
h1_get_all_triaged_prod = dict['h1_get_all_tria... | code/OverDue.py | import sys
import requests
import json
import datetime
from datetime import date,timedelta
def main(dict):
#required parameters - actual secrets are entered in the IBM Function action's paremeter section. DO NOT PUT SECRETS IN CODE
top_info = dict['top_info']
h1_get_all_triaged_prod = dict['h1_get_all_tria... | 0.171998 | 0.094594 |
import threading
import time
from collections import defaultdict
from typing import Any
import pytest
from qcodes.instrument.parameter import Parameter, ParamRawDataType
from qcodes.utils.threading import ThreadPoolParamsCaller, call_params_threaded
from .instrument_mocks import DummyInstrument
class ParameterWith... | qcodes/tests/test_threading.py | import threading
import time
from collections import defaultdict
from typing import Any
import pytest
from qcodes.instrument.parameter import Parameter, ParamRawDataType
from qcodes.utils.threading import ThreadPoolParamsCaller, call_params_threaded
from .instrument_mocks import DummyInstrument
class ParameterWith... | 0.729423 | 0.324851 |
from six.moves.urllib.parse import quote
import webhelpers
import ckan.lib.search as search
from ckan.tests.legacy import setup_test_search_index
from ckan.tests.legacy.functional.api.base import *
from ckan.tests.legacy import TestController as ControllerTestCase
class PackageSearchApiTestCase(ApiTestCase, Contro... | ckan/tests/legacy/functional/api/test_package_search.py |
from six.moves.urllib.parse import quote
import webhelpers
import ckan.lib.search as search
from ckan.tests.legacy import setup_test_search_index
from ckan.tests.legacy.functional.api.base import *
from ckan.tests.legacy import TestController as ControllerTestCase
class PackageSearchApiTestCase(ApiTestCase, Contro... | 0.581065 | 0.281739 |
import numpy as np
from typing import Dict, Optional, Callable, Sequence
import dataclasses
from logging import getLogger
import math
import random
from nevergrad.optimization import optimizerlib
from nevergrad.instrumentation import InstrumentedFunction
from nevergrad.instrumentation.variables import Gaussian
from .... | trainer/train.py | import numpy as np
from typing import Dict, Optional, Callable, Sequence
import dataclasses
from logging import getLogger
import math
import random
from nevergrad.optimization import optimizerlib
from nevergrad.instrumentation import InstrumentedFunction
from nevergrad.instrumentation.variables import Gaussian
from .... | 0.764716 | 0.536374 |
import re
from dataclasses import dataclass
from typing import List, Tuple, Union, TYPE_CHECKING
from qdk.chemistry.geometry.rdkit_convert import _mol_to_coordinates
from qdk.chemistry.geometry.xyz import (
coordinates_to_xyz,
element_coords_to_xyz
)
from rdkit.Chem import AllChem as Chem
if TYPE_CHECKING:
... | qdk/qdk/chemistry/geometry/geometry.py | import re
from dataclasses import dataclass
from typing import List, Tuple, Union, TYPE_CHECKING
from qdk.chemistry.geometry.rdkit_convert import _mol_to_coordinates
from qdk.chemistry.geometry.xyz import (
coordinates_to_xyz,
element_coords_to_xyz
)
from rdkit.Chem import AllChem as Chem
if TYPE_CHECKING:
... | 0.939602 | 0.573798 |
from django.template.defaultfilters import title
from django.urls import reverse
from django.utils.translation import pgettext_lazy
from django.utils.translation import ugettext_lazy as _
from django.utils.translation import ungettext_lazy
from horizon import tables
import six
from manila_ui.api import manila
class... | manila_ui/dashboards/admin/share_servers/tables.py |
from django.template.defaultfilters import title
from django.urls import reverse
from django.utils.translation import pgettext_lazy
from django.utils.translation import ugettext_lazy as _
from django.utils.translation import ungettext_lazy
from horizon import tables
import six
from manila_ui.api import manila
class... | 0.439507 | 0.089694 |
from rlkit.launchers.launcher_util import (
run_experiment,
set_seed,
)
def run_linear_ocm_exp(variant):
from sandbox.rocky.tf.algos.trpo import TRPO
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from sandbox.rocky.tf.policies.gaussian_lstm_policy import GaussianLSTMPol... | experiments/memory/recurrent_trpo_exp.py | from rlkit.launchers.launcher_util import (
run_experiment,
set_seed,
)
def run_linear_ocm_exp(variant):
from sandbox.rocky.tf.algos.trpo import TRPO
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from sandbox.rocky.tf.policies.gaussian_lstm_policy import GaussianLSTMPol... | 0.743261 | 0.353735 |
import os, json
from datetime import datetime
from utils.Trainers.SimpleTrainer import SimpleTrainer
from utils.Trainers.OrdinalRegressorTrainer import OrdinalRegressorTrainer
class Processor:
def __init__(self, args: dict) -> None:
"""
Summary: Initialization.
Parameters:
arg... | Processor.py | import os, json
from datetime import datetime
from utils.Trainers.SimpleTrainer import SimpleTrainer
from utils.Trainers.OrdinalRegressorTrainer import OrdinalRegressorTrainer
class Processor:
def __init__(self, args: dict) -> None:
"""
Summary: Initialization.
Parameters:
arg... | 0.409929 | 0.193262 |
import Mk4py as mk
from serverx import *
################################################################################
### user_manager
###
### this class provides an interface for the general management of users.
###
class user_manager:
###############################################################... | Training CD/IDA Pro/IDA Plug-ins/Selected Plugin Source Code/IDA Sync/ida_sync_server/support/user_manager.py |
import Mk4py as mk
from serverx import *
################################################################################
### user_manager
###
### this class provides an interface for the general management of users.
###
class user_manager:
###############################################################... | 0.330471 | 0.066236 |
def itos(integer):
"""Convert SNAPpy 2-byte integer to math_library 32-bit number"""
return "\x00\x00" + chr(integer>>8) + chr(integer&0xFF)
def itos2(integer1, integer2):
"""Convert two 2-byte integers to math_library 32-bit number"""
return chr(integer1>>8) + chr(integer1&0xFF) + chr(integer2>>8) + ... | snappyatmega/math.py | def itos(integer):
"""Convert SNAPpy 2-byte integer to math_library 32-bit number"""
return "\x00\x00" + chr(integer>>8) + chr(integer&0xFF)
def itos2(integer1, integer2):
"""Convert two 2-byte integers to math_library 32-bit number"""
return chr(integer1>>8) + chr(integer1&0xFF) + chr(integer2>>8) + ... | 0.489748 | 0.463687 |
from typing import Optional, List
import numpy as np
from qiskit import QuantumCircuit
from qiskit.circuit import Gate
from qiskit.circuit.library import XGate, SXGate
from qiskit.providers import Backend
from qiskit_experiments.framework import BaseExperiment, Options
from qiskit_experiments.library.calibration.anal... | qiskit_experiments/library/calibration/fine_drag.py | from typing import Optional, List
import numpy as np
from qiskit import QuantumCircuit
from qiskit.circuit import Gate
from qiskit.circuit.library import XGate, SXGate
from qiskit.providers import Backend
from qiskit_experiments.framework import BaseExperiment, Options
from qiskit_experiments.library.calibration.anal... | 0.926653 | 0.856812 |
import sys
from typing import Optional
import pytest
from _pytest.fixtures import FixtureRequest
from sqlalchemy.dialects import mysql, postgresql
from sqlalchemy.engine import Engine, create_engine
from sqlalchemy.schema import (
CheckConstraint, Column, ForeignKey, ForeignKeyConstraint, Index, MetaData, Table,
... | tests/test_generators.py | import sys
from typing import Optional
import pytest
from _pytest.fixtures import FixtureRequest
from sqlalchemy.dialects import mysql, postgresql
from sqlalchemy.engine import Engine, create_engine
from sqlalchemy.schema import (
CheckConstraint, Column, ForeignKey, ForeignKeyConstraint, Index, MetaData, Table,
... | 0.490968 | 0.254613 |
import os
import re
from tqdm import tqdm
import infomap
class Clustering():
"""Cluster mulitlayer time-dependent networks using the infomap algorithm.
Calculates clusters using the infomap algorithm. Input files are assumed
to have multilayer Pajek format and contain the year in four digit format.
T... | src/semanticlayertools/clustering/infomap.py | import os
import re
from tqdm import tqdm
import infomap
class Clustering():
"""Cluster mulitlayer time-dependent networks using the infomap algorithm.
Calculates clusters using the infomap algorithm. Input files are assumed
to have multilayer Pajek format and contain the year in four digit format.
T... | 0.725551 | 0.51379 |
import numpy as np
import torch
import torch.nn as nn
import torchtestcase
import unittest
from survae.transforms.bijections.conditional.autoregressive import *
from survae.nn.layers.autoregressive import SpatialMaskedConv2d, MaskedConv2d
from survae.nn.layers import ElementwiseParams, ElementwiseParams2d
from survae.t... | survae/tests/transforms/bijections/conditional/autoregressive/autoregressive_splines_2d.py | import numpy as np
import torch
import torch.nn as nn
import torchtestcase
import unittest
from survae.transforms.bijections.conditional.autoregressive import *
from survae.nn.layers.autoregressive import SpatialMaskedConv2d, MaskedConv2d
from survae.nn.layers import ElementwiseParams, ElementwiseParams2d
from survae.t... | 0.888127 | 0.665247 |
import sys
import logging
import numpy as np
from joblib import hash, dump
import os
from deer.default_parser import process_args
from deer.agent import NeuralAgent
from deer.learning_algos.CRAR_keras import CRAR
from maze_env import MyEnv as maze_env
import deer.experiment.base_controllers as bc
from deer.policies i... | examples/maze/run_maze_test_nnet.py | import sys
import logging
import numpy as np
from joblib import hash, dump
import os
from deer.default_parser import process_args
from deer.agent import NeuralAgent
from deer.learning_algos.CRAR_keras import CRAR
from maze_env import MyEnv as maze_env
import deer.experiment.base_controllers as bc
from deer.policies i... | 0.366817 | 0.169715 |
from abc import ABC, abstractmethod
from typing import Callable, Set, Sequence
from pyshgp.push.atoms import InstructionMeta
from pyshgp.push.config import PushConfig
from pyshgp.push.type_library import RESERVED_PSEUDO_STACKS
from pyshgp.push.state import PushState
from pyshgp.utils import Token
class Instruction(A... | pyshgp/push/instruction.py | from abc import ABC, abstractmethod
from typing import Callable, Set, Sequence
from pyshgp.push.atoms import InstructionMeta
from pyshgp.push.config import PushConfig
from pyshgp.push.type_library import RESERVED_PSEUDO_STACKS
from pyshgp.push.state import PushState
from pyshgp.utils import Token
class Instruction(A... | 0.946362 | 0.484441 |
from unittest import TestCase
import mimetypes
from scrapydd.poster import encode
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import sys
from six import ensure_binary
def unix2dos(s):
return s.replace(b"\n", b"\r\n")
class TestEncode_String(TestCase):
d... | tests/poster/test_encode.py | from unittest import TestCase
import mimetypes
from scrapydd.poster import encode
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import sys
from six import ensure_binary
def unix2dos(s):
return s.replace(b"\n", b"\r\n")
class TestEncode_String(TestCase):
d... | 0.498779 | 0.278974 |
from amazonia.classes.amz_api_gateway import ApiGatewayLeaf
from amazonia.classes.amz_api_gateway import ApiGatewayUnit
from amazonia.classes.amz_lambda import LambdaUnit
from amazonia.classes.api_gateway_config import ApiGatewayMethodConfig
from amazonia.classes.api_gateway_config import ApiGatewayResponseConfig, ApiG... | aws/amazonia/test/unit_tests/test_amz_api_gateway.py | from amazonia.classes.amz_api_gateway import ApiGatewayLeaf
from amazonia.classes.amz_api_gateway import ApiGatewayUnit
from amazonia.classes.amz_lambda import LambdaUnit
from amazonia.classes.api_gateway_config import ApiGatewayMethodConfig
from amazonia.classes.api_gateway_config import ApiGatewayResponseConfig, ApiG... | 0.631594 | 0.367639 |
import discord
import env
import textwrap
import random
import datetime
import os
import psycopg2
from psycopg2.extras import DictCursor
def get_connection():
dsn = env.DATABASE_URL
return psycopg2.connect(dsn, sslmode='require')
def key_parser(message, keyword_list):
has_keyword = False
for key in ... | lib.py | import discord
import env
import textwrap
import random
import datetime
import os
import psycopg2
from psycopg2.extras import DictCursor
def get_connection():
dsn = env.DATABASE_URL
return psycopg2.connect(dsn, sslmode='require')
def key_parser(message, keyword_list):
has_keyword = False
for key in ... | 0.112308 | 0.074265 |
import numpy as np
from src.info import *
from src.molecule import Molecule
from src.primitive_gaussian import PrimitiveGaussian
from src.utilities import frobenius_norm
class HartreeFock():
def __init__(self,
molecule: Molecule,
number_electrons: int,
) -> ... | src/hartree_fock.py |
import numpy as np
from src.info import *
from src.molecule import Molecule
from src.primitive_gaussian import PrimitiveGaussian
from src.utilities import frobenius_norm
class HartreeFock():
def __init__(self,
molecule: Molecule,
number_electrons: int,
) -> ... | 0.722527 | 0.348146 |
import sys
import os
import argparse
import numpy as np
from skimage import filters
import openslide
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../')
from helpers.utils import GenerateXMLfromCSV
parser = argparse.ArgumentParser(description='Generate predicted coordinates'
... | code_cm17/inference/nms.py | import sys
import os
import argparse
import numpy as np
from skimage import filters
import openslide
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../')
from helpers.utils import GenerateXMLfromCSV
parser = argparse.ArgumentParser(description='Generate predicted coordinates'
... | 0.230486 | 0.137735 |
from typing import Any, Dict, Tuple, Union, Callable, Optional, Sequence
from typing_extensions import Literal
from copy import deepcopy
from types import MappingProxyType
from pathlib import Path
from anndata import AnnData
from cellrank import logging as logg
from cellrank._key import Key
from cellrank.ul._docs imp... | cellrank/pl/_graph.py | from typing import Any, Dict, Tuple, Union, Callable, Optional, Sequence
from typing_extensions import Literal
from copy import deepcopy
from types import MappingProxyType
from pathlib import Path
from anndata import AnnData
from cellrank import logging as logg
from cellrank._key import Key
from cellrank.ul._docs imp... | 0.95846 | 0.492188 |
import os
import gym
import matlab.engine
from src.ddpg import DDPGAgent, create_ddpg_actor_critic
from src.experience import ExperienceSourceDiscountedSteps
from src.noise import GaussianNoise, OUNoise
from src.policies import DDPGPolicy, PerturbObservePolicy
from src.pv_env import PVEnv
from src.pv_array import PVA... | 04_ddpg_mppt.py | import os
import gym
import matlab.engine
from src.ddpg import DDPGAgent, create_ddpg_actor_critic
from src.experience import ExperienceSourceDiscountedSteps
from src.noise import GaussianNoise, OUNoise
from src.policies import DDPGPolicy, PerturbObservePolicy
from src.pv_env import PVEnv
from src.pv_array import PVA... | 0.397821 | 0.160694 |
try:
import sim
except:
print ('--------------------------------------------------------------')
print ('"sim.py" could not be imported. This means very probably that')
print ('either "sim.py" or the remoteApi library could not be found.')
print ('Make sure both are in the same folder as this ... | VREP SIM/BlobDetection Test.py | try:
import sim
except:
print ('--------------------------------------------------------------')
print ('"sim.py" could not be imported. This means very probably that')
print ('either "sim.py" or the remoteApi library could not be found.')
print ('Make sure both are in the same folder as this ... | 0.239349 | 0.134122 |
import datetime
import unittest
import os
import shutil
import tempfile
import fv3config
from fv3config._asset_list import (
is_dict_or_list,
get_data_table_asset,
get_diag_table_asset,
get_field_table_asset,
get_fv3config_yaml_asset,
get_asset_dict,
get_bytes_asset_dict,
ensure_is_list,... | tests/test_asset_list.py | import datetime
import unittest
import os
import shutil
import tempfile
import fv3config
from fv3config._asset_list import (
is_dict_or_list,
get_data_table_asset,
get_diag_table_asset,
get_field_table_asset,
get_fv3config_yaml_asset,
get_asset_dict,
get_bytes_asset_dict,
ensure_is_list,... | 0.361728 | 0.190423 |
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPen, QBrush, QColor, QGradient
from typing import Union
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .Canvas import Canvas
class VertexItem(QtWidgets.QGraphicsRectItem):
"""Represent future coordinates... | dl_markup/PolygonTool.py | from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPen, QBrush, QColor, QGradient
from typing import Union
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .Canvas import Canvas
class VertexItem(QtWidgets.QGraphicsRectItem):
"""Represent future coordinates... | 0.903154 | 0.305905 |
import os
import argparse
import numpy as np
import galileo as g
import galileo.tf as gt
import tensorflow as tf
from tensorflow.keras.regularizers import l2
import utils
import functools
class Inputs(g.BaseInputs):
def __init__(self, **kwargs):
super().__init__(config=kwargs)
def tr... | examples/tf/HAN/supervised.py | import os
import argparse
import numpy as np
import galileo as g
import galileo.tf as gt
import tensorflow as tf
from tensorflow.keras.regularizers import l2
import utils
import functools
class Inputs(g.BaseInputs):
def __init__(self, **kwargs):
super().__init__(config=kwargs)
def tr... | 0.672762 | 0.206554 |
import pygame
import random
import math
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
blue = (0, 0, 255)
red_transparent = (255, 0, 0, 0.5)
blue_transparent = (0, 0, 255, 0.5)
def drawcircles(arr):
for (x, y) in arr:
pygame.draw.circle(display, black, (x, y), 4)
def drawRedBlueCircles(re... | main.py | import pygame
import random
import math
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
blue = (0, 0, 255)
red_transparent = (255, 0, 0, 0.5)
blue_transparent = (0, 0, 255, 0.5)
def drawcircles(arr):
for (x, y) in arr:
pygame.draw.circle(display, black, (x, y), 4)
def drawRedBlueCircles(re... | 0.176246 | 0.501099 |
load("//bazel/browsers:browser_archive_repo.bzl", "browser_archive")
"""
Defines repositories for Firefox that can be used inside Karma unit tests
and Protractor e2e tests with Bazel.
"""
def define_firefox_repositories():
# Instructions on updating the Firefox version can be found in the `README.md` file
... | bazel/browsers/firefox/firefox.bzl | load("//bazel/browsers:browser_archive_repo.bzl", "browser_archive")
"""
Defines repositories for Firefox that can be used inside Karma unit tests
and Protractor e2e tests with Bazel.
"""
def define_firefox_repositories():
# Instructions on updating the Firefox version can be found in the `README.md` file
... | 0.562417 | 0.305451 |
import os, curses
# 複数のnewwin()とsubwin()を使った。
# newwin()は明示的にoverlay()せねばならない。対してsubwin()は自動的にoverlay()してくれる。
# subwin()のoverlay()順序はaddstr()で描画した順である。
class Main:
def __init__(self, screen, msg, color_index=1):
self.__screen = screen
self.__msg = msg
self.__color_index = color_index
... | src/window/old/6.py | import os, curses
# 複数のnewwin()とsubwin()を使った。
# newwin()は明示的にoverlay()せねばならない。対してsubwin()は自動的にoverlay()してくれる。
# subwin()のoverlay()順序はaddstr()で描画した順である。
class Main:
def __init__(self, screen, msg, color_index=1):
self.__screen = screen
self.__msg = msg
self.__color_index = color_index
... | 0.291888 | 0.092278 |
from rtamt.node.stl.node import Node
class Predicate(Node):
"""A class for storing STL real-valued Variable nodes
Inherits Node
Attributes:
var : String
field : String
io_type : IOType enumeration (INPUT, OUTPUT or UNKNOWN)
threshold : double
operator : ... | rtamt/node/stl/predicate.py | from rtamt.node.stl.node import Node
class Predicate(Node):
"""A class for storing STL real-valued Variable nodes
Inherits Node
Attributes:
var : String
field : String
io_type : IOType enumeration (INPUT, OUTPUT or UNKNOWN)
threshold : double
operator : ... | 0.627381 | 0.398494 |
from django.utils.translation import ugettext_lazy as _
from common.states import vm_states, node_states, image_access, image_types, \
image_platforms, image_states, message_levels, ec2names, \
cluster_states as cm_active, storage_states, \
available_network_states as pool_states
farm_states_reversed = {... | src/wi/utils/states.py | from django.utils.translation import ugettext_lazy as _
from common.states import vm_states, node_states, image_access, image_types, \
image_platforms, image_states, message_levels, ec2names, \
cluster_states as cm_active, storage_states, \
available_network_states as pool_states
farm_states_reversed = {... | 0.541409 | 0.18497 |
import numpy as np
from colour.colorimetry import CCS_ILLUMINANTS
from colour.utilities import (as_float_array, from_range_1, full, to_domain_1,
tsplit, tstack, zeros)
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2021 - Colour Developers'
__license__ = 'New BSD Li... | colour/models/cie_xyy.py | import numpy as np
from colour.colorimetry import CCS_ILLUMINANTS
from colour.utilities import (as_float_array, from_range_1, full, to_domain_1,
tsplit, tstack, zeros)
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2021 - Colour Developers'
__license__ = 'New BSD Li... | 0.923247 | 0.463019 |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.mininode import (
nuparams,
fundingstream,
)
from test_framework.util import (
assert_equal,
bitcoind_processes,
connect_nodes,
initialize_chain_clean,
start_node,
BLOSSOM_BRANCH_ID,
HEARTWOOD_BRANCH_... | depend/zcash/qa/rpc-tests/coinbase_funding_streams.py |
from test_framework.test_framework import BitcoinTestFramework
from test_framework.mininode import (
nuparams,
fundingstream,
)
from test_framework.util import (
assert_equal,
bitcoind_processes,
connect_nodes,
initialize_chain_clean,
start_node,
BLOSSOM_BRANCH_ID,
HEARTWOOD_BRANCH_... | 0.547222 | 0.374047 |
import sys
# lazy path addition for standard /usr/local install
try:
import SoapySDR
except ImportError:
sys.path.append('/usr/local/lib/python3/dist-packages')
import SoapySDR
from SoapySDR import * # SOAPY_SDR_ constants
import numpy as np
import scipy as sp
import scipy.io as sio
from optparse import Opti... | python/SoapySDRDemo.py |
import sys
# lazy path addition for standard /usr/local install
try:
import SoapySDR
except ImportError:
sys.path.append('/usr/local/lib/python3/dist-packages')
import SoapySDR
from SoapySDR import * # SOAPY_SDR_ constants
import numpy as np
import scipy as sp
import scipy.io as sio
from optparse import Opti... | 0.277571 | 0.146514 |
# ## Exercises
#
# This will be a notebook for you to work through the exercises during the workshop. Feel free to work on these at whatever pace you feel works for you, but I encourage you to work together! Edit the title of this notebook with your name because I will ask you to upload your final notebook to our sha... | Exercises_Nolan_Day4.py |
# ## Exercises
#
# This will be a notebook for you to work through the exercises during the workshop. Feel free to work on these at whatever pace you feel works for you, but I encourage you to work together! Edit the title of this notebook with your name because I will ask you to upload your final notebook to our sha... | 0.652241 | 0.811003 |
import datetime
import pytz
import warnings
from .timezone import NepaliTimeZone, get_timezone
from .exceptions import InvalidNepaliDateTimeObjectException
def to_utc_timezone(datetime_obj):
if type(datetime_obj) != datetime.datetime:
# None datetime object
return datetime_obj
if (not hasattr(datetime_obj, 'tz... | nepali/utils.py | import datetime
import pytz
import warnings
from .timezone import NepaliTimeZone, get_timezone
from .exceptions import InvalidNepaliDateTimeObjectException
def to_utc_timezone(datetime_obj):
if type(datetime_obj) != datetime.datetime:
# None datetime object
return datetime_obj
if (not hasattr(datetime_obj, 'tz... | 0.317532 | 0.160069 |
import os.path
import pandas as pd
import requests
import multitasking
import json
import csv
import numpy as np
import datetime as dt
from typing import Union
from tools import ProgressBar
headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 S... | download.py | import os.path
import pandas as pd
import requests
import multitasking
import json
import csv
import numpy as np
import datetime as dt
from typing import Union
from tools import ProgressBar
headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 S... | 0.727007 | 0.456046 |
import copy
from unittest import mock
from acme import specs
from acme.testing import fakes
from acme.utils.observers import measurement_metrics
import dm_env
import numpy as np
from absl.testing import absltest
def _make_fake_env() -> dm_env.Environment:
env_spec = specs.EnvironmentSpec(
observations=specs... | acme/utils/observers/measurement_metrics_test.py | import copy
from unittest import mock
from acme import specs
from acme.testing import fakes
from acme.utils.observers import measurement_metrics
import dm_env
import numpy as np
from absl.testing import absltest
def _make_fake_env() -> dm_env.Environment:
env_spec = specs.EnvironmentSpec(
observations=specs... | 0.621656 | 0.363901 |
import requests as r
from simplejson import JSONDecodeError
GET = 1
POST = 2
class Sia(object):
def __init__(self, host='http://localhost', port='9980'):
self.host = host
self.port = port
@property
def _url_base(self):
return self.host + ":" + str(self.port)
def __call__(self,... | pysia/client.py |
import requests as r
from simplejson import JSONDecodeError
GET = 1
POST = 2
class Sia(object):
def __init__(self, host='http://localhost', port='9980'):
self.host = host
self.port = port
@property
def _url_base(self):
return self.host + ":" + str(self.port)
def __call__(self,... | 0.414306 | 0.161982 |