code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from __future__ import unicode_literals
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io
import pyxb.utils.utility
import pyxb.utils.domutils
import sys
import pyxb.utils.six as _six
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uu... | tests/data/elements.py | from __future__ import unicode_literals
import pyxb
import pyxb.binding
import pyxb.binding.saxer
import io
import pyxb.utils.utility
import pyxb.utils.domutils
import sys
import pyxb.utils.six as _six
# Unique identifier for bindings created at the same time
_GenerationUID = pyxb.utils.utility.UniqueIdentifier('urn:uu... | 0.52074 | 0.241344 |
import argparse
import os
import time
import numpy as np
from sklearn.metrics import roc_auc_score
import MxpiDataType_pb2 as MxpiDataType
from StreamManagerApi import StreamManagerApi, MxDataInput, InProtobufVector, \
MxProtobufIn, StringVector
def parse_args():
"""set and check parameters."""
pa... | research/recommend/mmoe/infer/sdk/main.py | import argparse
import os
import time
import numpy as np
from sklearn.metrics import roc_auc_score
import MxpiDataType_pb2 as MxpiDataType
from StreamManagerApi import StreamManagerApi, MxDataInput, InProtobufVector, \
MxProtobufIn, StringVector
def parse_args():
"""set and check parameters."""
pa... | 0.616359 | 0.247911 |
import torch
import torch.nn as nn
from earlystopping import EarlyStopping
from torch.utils.tensorboard import SummaryWriter
from utils.metrics import accuracy
from utils.plot_results import create_acc_loss_curve
class Trainer():
def __init__(self, config, model, trainloader, valloader):
self.config = conf... | exp/taskB/trainer.py | import torch
import torch.nn as nn
from earlystopping import EarlyStopping
from torch.utils.tensorboard import SummaryWriter
from utils.metrics import accuracy
from utils.plot_results import create_acc_loss_curve
class Trainer():
def __init__(self, config, model, trainloader, valloader):
self.config = conf... | 0.806319 | 0.324797 |
from django.db import models
from django.utils.translation import ugettext as _
class CoverageBoundary(models.Model):
id = models.IntegerField(primary_key=True)
admin_level = models.IntegerField()
name = models.TextField()
abbreviation = models.TextField()
rank = models.IntegerField()
parent =... | coverage_score_viewer/models.py | from django.db import models
from django.utils.translation import ugettext as _
class CoverageBoundary(models.Model):
id = models.IntegerField(primary_key=True)
admin_level = models.IntegerField()
name = models.TextField()
abbreviation = models.TextField()
rank = models.IntegerField()
parent =... | 0.611266 | 0.137301 |
import pytest
from ninja import NinjaAPI, Path, Router
from ninja.testing import TestClient
api = NinjaAPI()
router_with_path_type = Router()
router_without_path_type = Router()
router_with_multiple = Router()
@router_with_path_type.get("/metadata")
def get_item_metadata(request, item_id: int = Path(None)) -> int:
... | tests/test_router_path_params.py | import pytest
from ninja import NinjaAPI, Path, Router
from ninja.testing import TestClient
api = NinjaAPI()
router_with_path_type = Router()
router_without_path_type = Router()
router_with_multiple = Router()
@router_with_path_type.get("/metadata")
def get_item_metadata(request, item_id: int = Path(None)) -> int:
... | 0.568655 | 0.238218 |
from django.shortcuts import get_object_or_404, render
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from urllib import urlencode
import urllib2, sys
from bs4 import BeautifulSoup
from collections import Counter
def home(request2):
return render(request2, '... | views.py | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from urllib import urlencode
import urllib2, sys
from bs4 import BeautifulSoup
from collections import Counter
def home(request2):
return render(request2, '... | 0.155303 | 0.078997 |
import os
from http import HTTPStatus
from typing import Final
import pytest
from bs4 import BeautifulSoup
from oaff.testing.data.load.db import update_db
from oaff.testing.integration_tests.common import reconfigure
from oaff.testing.integration_tests.common_pg import (
create_common,
drop_common,
insert... | oaff/testing/integration_tests/test_collections_list_pg_nomac.py | import os
from http import HTTPStatus
from typing import Final
import pytest
from bs4 import BeautifulSoup
from oaff.testing.data.load.db import update_db
from oaff.testing.integration_tests.common import reconfigure
from oaff.testing.integration_tests.common_pg import (
create_common,
drop_common,
insert... | 0.461988 | 0.326862 |
import os
import sys
import logging
import argparse
import multiprocessing
from copy import copy
from itertools import product
from subprocess import check_call
import numpy as np
import utils
logger = logging.getLogger('DeepAR.Searcher')
utils.set_logger('param_search.log')
PYTHON = sys.executable
gpu_ids: list
p... | search_hyperparams.py | import os
import sys
import logging
import argparse
import multiprocessing
from copy import copy
from itertools import product
from subprocess import check_call
import numpy as np
import utils
logger = logging.getLogger('DeepAR.Searcher')
utils.set_logger('param_search.log')
PYTHON = sys.executable
gpu_ids: list
p... | 0.401101 | 0.112747 |
import sys
import traceback
from collections import defaultdict
from KPHMMER import (Analysis, Config, Convert, Query, Search,
determine_submethod, get_args)
from .util import check_status_code, dump_log, get_kegg, get_pfam
class QueryCount(Query):
def __init__(self, args=None):
sup... | script/KPHMMER_API_access.py | import sys
import traceback
from collections import defaultdict
from KPHMMER import (Analysis, Config, Convert, Query, Search,
determine_submethod, get_args)
from .util import check_status_code, dump_log, get_kegg, get_pfam
class QueryCount(Query):
def __init__(self, args=None):
sup... | 0.151781 | 0.167185 |
from __future__ import annotations
import itertools as it
from functools import lru_cache
from typing import Iterable
from bqskit.ir.location import CircuitLocation
from bqskit.ir.location import CircuitLocationLike
from bqskit.utils.typing import is_integer
from bqskit.utils.typing import is_valid_coupling_graph
c... | bqskit/compiler/machine.py | from __future__ import annotations
import itertools as it
from functools import lru_cache
from typing import Iterable
from bqskit.ir.location import CircuitLocation
from bqskit.ir.location import CircuitLocationLike
from bqskit.utils.typing import is_integer
from bqskit.utils.typing import is_valid_coupling_graph
c... | 0.956135 | 0.484685 |
import wx
import rmodel
import util
import locale
import wxmpl
import numpy
import matplotlib
import wx.lib.agw.floatspin as FS
from profileframeutils import Data, GenericPlotItemPanel, MyNotebook
from profileframeutils import PlotItemPanelAll
from util import kindOfItem, axesDef
import copy
locale.setlocale(locale.... | source/gui/rview/profileframe.py |
import wx
import rmodel
import util
import locale
import wxmpl
import numpy
import matplotlib
import wx.lib.agw.floatspin as FS
from profileframeutils import Data, GenericPlotItemPanel, MyNotebook
from profileframeutils import PlotItemPanelAll
from util import kindOfItem, axesDef
import copy
locale.setlocale(locale.... | 0.529263 | 0.103658 |
from getratings.models.ratings import Ratings
class NA_Poppy_Top_Aatrox(Ratings):
pass
class NA_Poppy_Top_Ahri(Ratings):
pass
class NA_Poppy_Top_Akali(Ratings):
pass
class NA_Poppy_Top_Alistar(Ratings):
pass
class NA_Poppy_Top_Amumu(Ratings):
pass
class NA_Poppy_Top_Anivia(Ratings):
pass
... | loldib/getratings/models/NA/na_poppy/na_poppy_top.py | from getratings.models.ratings import Ratings
class NA_Poppy_Top_Aatrox(Ratings):
pass
class NA_Poppy_Top_Ahri(Ratings):
pass
class NA_Poppy_Top_Akali(Ratings):
pass
class NA_Poppy_Top_Alistar(Ratings):
pass
class NA_Poppy_Top_Amumu(Ratings):
pass
class NA_Poppy_Top_Anivia(Ratings):
pass
... | 0.188436 | 0.055618 |
import os
import time
import threading
import random
import shutil
import glob
#This is in seconds
amountOfTimeToWait = 1
#The file extension for the sounds you have. This only supports one file type at a time, but could be modified to do more in the future
fileType = ".txt"
#Find the current directory ... | ChangeSoundFileOnTimer.py | import os
import time
import threading
import random
import shutil
import glob
#This is in seconds
amountOfTimeToWait = 1
#The file extension for the sounds you have. This only supports one file type at a time, but could be modified to do more in the future
fileType = ".txt"
#Find the current directory ... | 0.039324 | 0.100879 |
from collections import Counter, namedtuple
import itertools
from gsi_handlers.sim_info_culling_handler import CullingArchive, CullingCensus
from objects import ALL_HIDDEN_REASONS
from performance.performance_commands import get_sim_info_creation_sources
from sims.genealogy_tracker import genealogy_caching
from sims.ho... | Scripts/simulation/story_progression/story_progression_action_sim_info_culling.py | from collections import Counter, namedtuple
import itertools
from gsi_handlers.sim_info_culling_handler import CullingArchive, CullingCensus
from objects import ALL_HIDDEN_REASONS
from performance.performance_commands import get_sim_info_creation_sources
from sims.genealogy_tracker import genealogy_caching
from sims.ho... | 0.624523 | 0.154951 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | QA/pycopia/dataplots.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 0.860618 | 0.423577 |
import collections
import re
import time
from tempest.api.network import base
from tempest.common import utils
from tempest import exceptions
from tempest.lib.common.utils import data_utils
from tempest import test
from nuage_tempest_plugin.lib.topology import Topology
from nuage_tempest_plugin.tests.scenario \
... | nuage_tempest_plugin/tests/scenario/test_nuage_fip_server_basic_ops.py |
import collections
import re
import time
from tempest.api.network import base
from tempest.common import utils
from tempest import exceptions
from tempest.lib.common.utils import data_utils
from tempest import test
from nuage_tempest_plugin.lib.topology import Topology
from nuage_tempest_plugin.tests.scenario \
... | 0.540924 | 0.282142 |
import pytest
from tekdrive.models import Search, File, Folder
from ..base import IntegrationTest
@pytest.mark.integration
class TestSearch(IntegrationTest):
def test_query_returns_nothing(self, tekdrive_vcr):
name = "name_of_things_that_dont_even_exist"
results = Search(self.tekdrive).query(nam... | tests/integration/models/test_search.py | import pytest
from tekdrive.models import Search, File, Folder
from ..base import IntegrationTest
@pytest.mark.integration
class TestSearch(IntegrationTest):
def test_query_returns_nothing(self, tekdrive_vcr):
name = "name_of_things_that_dont_even_exist"
results = Search(self.tekdrive).query(nam... | 0.472197 | 0.377741 |
class Node:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def search(self, data):
return self.search_at(self.root, data)
def search_at(self, root, data):
if ... | learn/bst.py | class Node:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
class BST:
def __init__(self):
self.root = None
def search(self, data):
return self.search_at(self.root, data)
def search_at(self, root, data):
if ... | 0.630457 | 0.500244 |
import sys, time
import numpy as np
import matplotlib.pyplot as pt
import multiprocessing as mp
import dfibers.traversal as tv
import dfibers.numerical_utilities as nu
import dfibers.logging_utilities as lu
import dfibers.fixed_points as fx
import dfibers.solvers as sv
import dfibers.examples.levy as lv
from mpl_toolki... | dfibers/experiments/levy_opt/levy_opt.py | import sys, time
import numpy as np
import matplotlib.pyplot as pt
import multiprocessing as mp
import dfibers.traversal as tv
import dfibers.numerical_utilities as nu
import dfibers.logging_utilities as lu
import dfibers.fixed_points as fx
import dfibers.solvers as sv
import dfibers.examples.levy as lv
from mpl_toolki... | 0.381796 | 0.238561 |
import yaml
import io
import argparse
import json
import os
import requests
import time
TRAINING_URL_FORMAT = "{base_url}/train?api-version={api_version}"
BATCHINFERENCE_URL_FORMAT = "{base_url}/models/{model_id}/batchinference?api-version={api_version}"
DEPLOY_URL_FORMAT = "{base_url}/models/{model_id}/deploy?api-ve... | src/Luna.Packages/luna-publish-utils/luna/lunaClient.py | import yaml
import io
import argparse
import json
import os
import requests
import time
TRAINING_URL_FORMAT = "{base_url}/train?api-version={api_version}"
BATCHINFERENCE_URL_FORMAT = "{base_url}/models/{model_id}/batchinference?api-version={api_version}"
DEPLOY_URL_FORMAT = "{base_url}/models/{model_id}/deploy?api-ve... | 0.14919 | 0.042444 |
from website import app
import json
from flask import request
from website.events import Events
from datetime import datetime
from datetime import date
import pytz
from pytz import timezone
today_only = True
@app.route('/location/<location>/events')
def index(location):
# Parse HTTP request headers
location_name ... | website/views.py | from website import app
import json
from flask import request
from website.events import Events
from datetime import datetime
from datetime import date
import pytz
from pytz import timezone
today_only = True
@app.route('/location/<location>/events')
def index(location):
# Parse HTTP request headers
location_name ... | 0.567817 | 0.169543 |
# TODO: Add expire date reminder
import boto3
import argparse
import cps
import os
import re
import datetime
import pytz
from tzlocal import get_localzone
from OpenSSL import crypto
from ndg.httpsclient.subj_alt_name import SubjectAltName as BaseSubjectAltName
from pyasn1.codec.der.decoder import decoder as der_decode... | certstuff.py | # TODO: Add expire date reminder
import boto3
import argparse
import cps
import os
import re
import datetime
import pytz
from tzlocal import get_localzone
from OpenSSL import crypto
from ndg.httpsclient.subj_alt_name import SubjectAltName as BaseSubjectAltName
from pyasn1.codec.der.decoder import decoder as der_decode... | 0.355887 | 0.175998 |
import datetime
import json
import dash
import pytz
from dash import html, dash_table, dcc, Output, Input
import pandas as pd
from dash.exceptions import PreventUpdate
from app import app
import plotly.graph_objects as go
class GraphBuilder():
def __init__(self):
self.json_data = None
self.tota... | components/graph_builder.py | import datetime
import json
import dash
import pytz
from dash import html, dash_table, dcc, Output, Input
import pandas as pd
from dash.exceptions import PreventUpdate
from app import app
import plotly.graph_objects as go
class GraphBuilder():
def __init__(self):
self.json_data = None
self.tota... | 0.384219 | 0.186058 |
from __future__ import division
import parent
from parent import *
class HelixComplex(ParentComplex):
"""Helix association or disocciation reaction"""
def __init__(self , myPickles, dangleleft, dangleright, theta, zip, strand1, strand2,T, concentration, sodium, magnesium, dataset_name, docID, name ):
ParentComple... | reactions/helix.py | from __future__ import division
import parent
from parent import *
class HelixComplex(ParentComplex):
"""Helix association or disocciation reaction"""
def __init__(self , myPickles, dangleleft, dangleright, theta, zip, strand1, strand2,T, concentration, sodium, magnesium, dataset_name, docID, name ):
ParentComple... | 0.694095 | 0.433981 |
import os
import shutil
def organize():
directory_path = os.getcwd()
files = os.listdir(directory_path)
date = []
for i in files:
a= i.split('_')[0]
date.append(a)
dirPaths = list() #Klasörlerin pathleri tutuluyor
new = list(se... | organize.py | import os
import shutil
def organize():
directory_path = os.getcwd()
files = os.listdir(directory_path)
date = []
for i in files:
a= i.split('_')[0]
date.append(a)
dirPaths = list() #Klasörlerin pathleri tutuluyor
new = list(se... | 0.03226 | 0.072571 |
def load_model(model_path):
'''
Try to load the correct NER model
'''
model = None
correct_subclass = None
for subclass in NERModel.__subclasses__():
model = subclass._load_model(model_path)
if model is not None:
correct_subclass = subclass
if correct_subclass is... | ner_annotator/model.py | def load_model(model_path):
'''
Try to load the correct NER model
'''
model = None
correct_subclass = None
for subclass in NERModel.__subclasses__():
model = subclass._load_model(model_path)
if model is not None:
correct_subclass = subclass
if correct_subclass is... | 0.694717 | 0.338596 |
from ast import literal_eval
class BinaryOperator:
def __init__(self, env):
self.env = env
@property
def mark(self):
return ''
@property
def priority(self):
return 0
def apply(self, left, right):
pass
def __str__(self):
return self.mark
class... | tp/base/exp/Operator.py |
from ast import literal_eval
class BinaryOperator:
def __init__(self, env):
self.env = env
@property
def mark(self):
return ''
@property
def priority(self):
return 0
def apply(self, left, right):
pass
def __str__(self):
return self.mark
class... | 0.799286 | 0.575946 |
INDIC_NLP_LIB_HOME = "src/tools/indic_nlp_library"
INDIC_NLP_RESOURCES = "src/tools/indic_nlp_resources"
import sys
sys.path.append(r"{}".format(INDIC_NLP_LIB_HOME))
from indicnlp import common
common.set_resources_path(INDIC_NLP_RESOURCES)
from indicnlp import loader
loader.load()
from sacremoses import MosesPunctN... | src/utilities/fairseq_sentence_processor.py | INDIC_NLP_LIB_HOME = "src/tools/indic_nlp_library"
INDIC_NLP_RESOURCES = "src/tools/indic_nlp_resources"
import sys
sys.path.append(r"{}".format(INDIC_NLP_LIB_HOME))
from indicnlp import common
common.set_resources_path(INDIC_NLP_RESOURCES)
from indicnlp import loader
loader.load()
from sacremoses import MosesPunctN... | 0.333612 | 0.192084 |
from typing import Optional
from flint import Tensor
from .. import functional as F
from ..types import _size_1_t, _size_2_t, _tuple_any_t
from .utils import _single, _pair
from .module import Module
class _MaxPoolNd(Module):
"""
A base class for all types of max pooling layers.
Parameters
----------... | flint/nn/modules/pooling.py | from typing import Optional
from flint import Tensor
from .. import functional as F
from ..types import _size_1_t, _size_2_t, _tuple_any_t
from .utils import _single, _pair
from .module import Module
class _MaxPoolNd(Module):
"""
A base class for all types of max pooling layers.
Parameters
----------... | 0.964946 | 0.547585 |
import numpy as np
import numpy.matlib
def get_hand_body_info(posed_model,
render_body=False,
side='right',
right_smpl2mano=None,
left_smpl2mano=None,
cam_extr=None,
cam_calib=None... | obman_render/coordutils.py | import numpy as np
import numpy.matlib
def get_hand_body_info(posed_model,
render_body=False,
side='right',
right_smpl2mano=None,
left_smpl2mano=None,
cam_extr=None,
cam_calib=None... | 0.633864 | 0.503296 |
import pprint
import re # noqa: F401
import six
class Organization(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the v... | rumblesdk/models/organization.py | import pprint
import re # noqa: F401
import six
class Organization(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the v... | 0.487795 | 0.085099 |
from keystoneauth1 import exceptions as ks_exc
from neutron_lib.placement import constants as placement_constants
from neutron_lib.placement import utils as placement_utils
from neutron_lib.plugins import constants as plugins_constants
from neutron_lib.plugins import directory
from neutron_lib.utils import helpers
fro... | neutron/plugins/ml2/drivers/ovn/mech_driver/ovsdb/extensions/placement.py |
from keystoneauth1 import exceptions as ks_exc
from neutron_lib.placement import constants as placement_constants
from neutron_lib.placement import utils as placement_utils
from neutron_lib.plugins import constants as plugins_constants
from neutron_lib.plugins import directory
from neutron_lib.utils import helpers
fro... | 0.626581 | 0.128006 |
import asyncio, json, sys
from user import User
from pykeybasebot.types import chat1
class Message(object):
'''
Example message json: {
u'msg': {
u'unread': True,
u'sent_at': 1522813326,
u'sent_at_ms': 1522813326658,
u'content': {u'text': {u'body': u'Hi'... | keybase.py |
import asyncio, json, sys
from user import User
from pykeybasebot.types import chat1
class Message(object):
'''
Example message json: {
u'msg': {
u'unread': True,
u'sent_at': 1522813326,
u'sent_at_ms': 1522813326658,
u'content': {u'text': {u'body': u'Hi'... | 0.298287 | 0.08886 |
from django.views.generic.base import TemplateView
from django.db.models import Q
from django.views.generic.edit import FormView
from reviews.models import Review
from reports.views import user_review_report
from .mixins import AdminMixin
from .forms import GenericMessage
class HomePageView(TemplateView):
temp... | core/views.py | from django.views.generic.base import TemplateView
from django.db.models import Q
from django.views.generic.edit import FormView
from reviews.models import Review
from reports.views import user_review_report
from .mixins import AdminMixin
from .forms import GenericMessage
class HomePageView(TemplateView):
temp... | 0.451085 | 0.118283 |
import pathlib
import tempfile
import unittest
import libtorrent as lt
from tvaf import config as config_lib
from tvaf import driver as driver_lib
from tvaf import request as request_lib
from tvaf import resume as resume_lib
from . import lib
from . import tdummy
def wait_done_checking_or_error(handle: lt.torrent... | tvaf/tests/request_test_utils.py |
import pathlib
import tempfile
import unittest
import libtorrent as lt
from tvaf import config as config_lib
from tvaf import driver as driver_lib
from tvaf import request as request_lib
from tvaf import resume as resume_lib
from . import lib
from . import tdummy
def wait_done_checking_or_error(handle: lt.torrent... | 0.378919 | 0.091951 |
import os
import sys
from pathlib import Path
import torch
from munch import DefaultMunch
from config import defaults
def get_args(**kwargs):
args = defaults
args = update_args(args, kwargs)
args = process_paths(args)
args = objectify(args)
args.computation.device = 'cpu'
if args.computatio... | subset_selection/code/args.py | import os
import sys
from pathlib import Path
import torch
from munch import DefaultMunch
from config import defaults
def get_args(**kwargs):
args = defaults
args = update_args(args, kwargs)
args = process_paths(args)
args = objectify(args)
args.computation.device = 'cpu'
if args.computatio... | 0.284576 | 0.161783 |
import json
import libtmux
import os
import sys
import time
from common.encoding import get_encoding
from common.escape import is_potential_escapechar
from common.load import load_file
from common.detector_result import DetectorResult, Dialect, Status, StatusMsg
from common.utils import pairwise
def has_quotechar(da... | scripts/detection/human.py | import json
import libtmux
import os
import sys
import time
from common.encoding import get_encoding
from common.escape import is_potential_escapechar
from common.load import load_file
from common.detector_result import DetectorResult, Dialect, Status, StatusMsg
from common.utils import pairwise
def has_quotechar(da... | 0.191933 | 0.15428 |
from keras.applications.imagenet_utils import preprocess_input
from keras.backend.tensorflow_backend import set_session
from keras.preprocessing import image
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
from scipy.misc import imread
import tensorflow as tf
from keras import backen... | ssd_keras/test_ssd.py | from keras.applications.imagenet_utils import preprocess_input
from keras.backend.tensorflow_backend import set_session
from keras.preprocessing import image
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
from scipy.misc import imread
import tensorflow as tf
from keras import backen... | 0.493653 | 0.293265 |
from annoy import AnnoyIndex
class Annoy:
def initialize_index(self, embedding_size, metric='angular'):
'''
This function initializes the search index for the ANNOY method
Arguments:
- Embedding size: The size of the embeddigns, the vector
- metric: c... | fast_similarity/nearest_neighbour/annoy.py | from annoy import AnnoyIndex
class Annoy:
def initialize_index(self, embedding_size, metric='angular'):
'''
This function initializes the search index for the ANNOY method
Arguments:
- Embedding size: The size of the embeddigns, the vector
- metric: c... | 0.793466 | 0.68332 |
import sys
import yaml
import os
from utils import convert_num, display_num, download_image
from tweet import twitter_post, twitter_post_image, twitter_repost, set_test_mode
from birthdays import check_birthdays
from instagram import instagram_data
from youtube import youtube_data
from spotify import spotify_data
from... | main.py | import sys
import yaml
import os
from utils import convert_num, display_num, download_image
from tweet import twitter_post, twitter_post_image, twitter_repost, set_test_mode
from birthdays import check_birthdays
from instagram import instagram_data
from youtube import youtube_data
from spotify import spotify_data
from... | 0.454714 | 0.285216 |
from __future__ import absolute_import, division, unicode_literals
import json
from uuid import uuid4
from twisted.trial.unittest import SynchronousTestCase
from twisted.internet.task import Clock
from mimic.core import MimicCore
from mimic.resource import MimicRoot
from mimic.test.helpers import json_request, reque... | mimic/test/test_ironic.py | from __future__ import absolute_import, division, unicode_literals
import json
from uuid import uuid4
from twisted.trial.unittest import SynchronousTestCase
from twisted.internet.task import Clock
from mimic.core import MimicCore
from mimic.resource import MimicRoot
from mimic.test.helpers import json_request, reque... | 0.706494 | 0.233859 |
import os, sys
import time
import numpy as np
from GlobalOptimizer.SLSOptimizer import SLSOptimizer
from GlobalOptimizer.JacobianOptimizer import JacobianOptimizer
from GlobalOptimizer.JacobianOptimizerLocalLineSearch import JacobianOptimizerLocalLineSearch
from GlobalOptimizer.HybridOptimizer import Hybrid... | Experiments/synthetic_experiment_global.py |
import os, sys
import time
import numpy as np
from GlobalOptimizer.SLSOptimizer import SLSOptimizer
from GlobalOptimizer.JacobianOptimizer import JacobianOptimizer
from GlobalOptimizer.JacobianOptimizerLocalLineSearch import JacobianOptimizerLocalLineSearch
from GlobalOptimizer.HybridOptimizer import Hybrid... | 0.098566 | 0.131424 |
from PyQt5.QtWidgets import QWidget
from PyQt5.Qt import Qt, QPoint, QPointF, QMouseEvent
from PyQt5 import QtCore, QtGui
from signalflowgrapher.model.model import GraphMovedEvent
from signalflowgrapher.common.observable import ObjectObservable
# Some code is inspired by
# https://stackoverflow.com/questions/12219727/... | src/signalflowgrapher/gui/graph_item.py | from PyQt5.QtWidgets import QWidget
from PyQt5.Qt import Qt, QPoint, QPointF, QMouseEvent
from PyQt5 import QtCore, QtGui
from signalflowgrapher.model.model import GraphMovedEvent
from signalflowgrapher.common.observable import ObjectObservable
# Some code is inspired by
# https://stackoverflow.com/questions/12219727/... | 0.734786 | 0.233652 |
from bearlibterminal import terminal as term
from spaceship.engine import Engine
from spaceship.menus.scene import Scene
from spaceship.menus.main import Main
from spaceship.menus.make import Create
from spaceship.menus.name import Name
from spaceship.menus.options import Options
def test_scene_dimensions():
term.... | tests/test_scene.py | from bearlibterminal import terminal as term
from spaceship.engine import Engine
from spaceship.menus.scene import Scene
from spaceship.menus.main import Main
from spaceship.menus.make import Create
from spaceship.menus.name import Name
from spaceship.menus.options import Options
def test_scene_dimensions():
term.... | 0.511717 | 0.523481 |
from sqlalchemy import create_engine, orm
from sqlalchemy.pool import StaticPool
from sqlalchemy.ext.declarative import declarative_base
import tempfile
DATABASE_NAME = tempfile.gettempdir() + "/yast.db"
# Format of the datetime string in the log file
DATETIME_FORMAT = '%d/%b/%Y:%H:%M:%S'
# Create in-memory database w... | src/settings.py | from sqlalchemy import create_engine, orm
from sqlalchemy.pool import StaticPool
from sqlalchemy.ext.declarative import declarative_base
import tempfile
DATABASE_NAME = tempfile.gettempdir() + "/yast.db"
# Format of the datetime string in the log file
DATETIME_FORMAT = '%d/%b/%Y:%H:%M:%S'
# Create in-memory database w... | 0.36659 | 0.271925 |
import abc
import six
import sahara.plugins.mapr.util.config_utils as cu
import sahara.plugins.mapr.util.names as n
import sahara.plugins.utils as u
@six.add_metaclass(abc.ABCMeta)
class BaseContext(object):
hive_version_config = 'Hive Version'
oozie_version_config = 'Oozie Version'
@abc.abstractmeth... | sahara/plugins/mapr/versions/base_context.py |
import abc
import six
import sahara.plugins.mapr.util.config_utils as cu
import sahara.plugins.mapr.util.names as n
import sahara.plugins.utils as u
@six.add_metaclass(abc.ABCMeta)
class BaseContext(object):
hive_version_config = 'Hive Version'
oozie_version_config = 'Oozie Version'
@abc.abstractmeth... | 0.358016 | 0.122418 |
import functools
import io
import re
import sys
import time
from types import MethodType
import typing as t
import os
from arc import logging, typing as at
from arc.color import fg, effects, colorize
logger = logging.getArcLogger("util")
IDENT = r"[a-zA-Z-_0-9]+"
def indent(string: str, distance="\t", split="\n")... | arc/utils.py | import functools
import io
import re
import sys
import time
from types import MethodType
import typing as t
import os
from arc import logging, typing as at
from arc.color import fg, effects, colorize
logger = logging.getArcLogger("util")
IDENT = r"[a-zA-Z-_0-9]+"
def indent(string: str, distance="\t", split="\n")... | 0.632503 | 0.474509 |
from math import sqrt, acos, isclose
from typing import Generator, Iterable, Tuple, Union
from geometry.error import InvalidSizeError
from geometry.types import Real
from geometry.utilities.copyable import CopyableMixin
class Vector(CopyableMixin):
def __init__(self, values: Iterable[Real] = []) -> None:
... | geometry/object/vector.py |
from math import sqrt, acos, isclose
from typing import Generator, Iterable, Tuple, Union
from geometry.error import InvalidSizeError
from geometry.types import Real
from geometry.utilities.copyable import CopyableMixin
class Vector(CopyableMixin):
def __init__(self, values: Iterable[Real] = []) -> None:
... | 0.888638 | 0.542439 |
import pytest
from itertools import product
from random import choice
from biseqt.stochastics import rand_seq
from biseqt.sequence import Alphabet, Sequence
from biseqt.kmers import kmer_as_int, as_kmer_seq, KmerIndex, KmerCache
def test_kmer_as_int_limitations():
with pytest.raises(AssertionError):
# wo... | tests/test_kmers.py | import pytest
from itertools import product
from random import choice
from biseqt.stochastics import rand_seq
from biseqt.sequence import Alphabet, Sequence
from biseqt.kmers import kmer_as_int, as_kmer_seq, KmerIndex, KmerCache
def test_kmer_as_int_limitations():
with pytest.raises(AssertionError):
# wo... | 0.68616 | 0.468243 |
from chatterbox import Text, MessageButton, Keyboard, Message
msg_search_doll = (
'인형 검색을 시작합니다.'
'2자리에서 4자리의 숫자로 입력해주세요\n'
'예시) 110 또는 0730'
)
msg_search_equip = (
'장비/요정 검색을 시작합니다.'
'2자리에서 4자리의 숫자로 입력해주세요\n'
'예시) 110 또는 0505'
)
msg_calc_report = (
'작전보고서 계산기 입력을 시작합니다.\n'
'입력 양식:\n'
... | static_resp.py | from chatterbox import Text, MessageButton, Keyboard, Message
msg_search_doll = (
'인형 검색을 시작합니다.'
'2자리에서 4자리의 숫자로 입력해주세요\n'
'예시) 110 또는 0730'
)
msg_search_equip = (
'장비/요정 검색을 시작합니다.'
'2자리에서 4자리의 숫자로 입력해주세요\n'
'예시) 110 또는 0505'
)
msg_calc_report = (
'작전보고서 계산기 입력을 시작합니다.\n'
'입력 양식:\n'
... | 0.401453 | 0.474266 |
def find_word(word, sentence):
'''
This is a test case:
>>> find_word('quick', 'The quick brown fox jumps over the lazy dog')
True
'''
return word in sentence
def get_index(word, text):
'''
This is a test case:
>>> get_index('fox', 'The quick brown fox jumps over the lazy dog')... | Chapter01/Exercise1.01/Exercise1.01_Unit_Test.py |
def find_word(word, sentence):
'''
This is a test case:
>>> find_word('quick', 'The quick brown fox jumps over the lazy dog')
True
'''
return word in sentence
def get_index(word, text):
'''
This is a test case:
>>> get_index('fox', 'The quick brown fox jumps over the lazy dog')... | 0.719876 | 0.46308 |
from typing import List, TYPE_CHECKING
import numpy
from pyrr import matrix44
if TYPE_CHECKING:
from moderngl_window.scene import Camera, Mesh
class Node:
"""A generic scene node containing a mesh or camera
and/or a container for other nodes. Nodes and their children
represents the scene tree.
""... | moderngl_window/scene/node.py | from typing import List, TYPE_CHECKING
import numpy
from pyrr import matrix44
if TYPE_CHECKING:
from moderngl_window.scene import Camera, Mesh
class Node:
"""A generic scene node containing a mesh or camera
and/or a container for other nodes. Nodes and their children
represents the scene tree.
""... | 0.9494 | 0.57523 |
from theia.color import tidy_color
from sklearn.cluster import KMeans
from collections import Counter
from PIL import Image, ImageDraw, ImageFont
import argparse, math
GRAY_255 = (255, 255, 255)
GRAY_222 = (222, 222, 222)
GRAY_192 = (192, 192, 192)
GRAY_128 = (128, 128, 128)
GRAY_0 = (0, 0, 0)
def draw_color_box(
... | projects/visualize_colors_mspaint.py | from theia.color import tidy_color
from sklearn.cluster import KMeans
from collections import Counter
from PIL import Image, ImageDraw, ImageFont
import argparse, math
GRAY_255 = (255, 255, 255)
GRAY_222 = (222, 222, 222)
GRAY_192 = (192, 192, 192)
GRAY_128 = (128, 128, 128)
GRAY_0 = (0, 0, 0)
def draw_color_box(
... | 0.705481 | 0.361587 |
import os
import configparser
import pandas as pd
from shutil import copyfile
import json
from io import BytesIO
from minio import Minio
from .vertical_transformations import split as vertical_split
from .horizontal_transformations import split as horizontal_split
from .horizontal_transformations import overlap2source... | engine/fabricator/dataset_generator.py | import os
import configparser
import pandas as pd
from shutil import copyfile
import json
from io import BytesIO
from minio import Minio
from .vertical_transformations import split as vertical_split
from .horizontal_transformations import split as horizontal_split
from .horizontal_transformations import overlap2source... | 0.265595 | 0.143128 |
from date_and_time import TimeSpan
from display_snippet_tuning import DisplaySnippet
from elements import SleepElement
from event_testing.resolver import SingleSimResolver
from event_testing.test_events import TestEvent
from global_policies.global_policy_effects import GlobalPolicyEffectVariants
from global_policies.gl... | Scripts/simulation/global_policies/global_policy_tuning.py | from date_and_time import TimeSpan
from display_snippet_tuning import DisplaySnippet
from elements import SleepElement
from event_testing.resolver import SingleSimResolver
from event_testing.test_events import TestEvent
from global_policies.global_policy_effects import GlobalPolicyEffectVariants
from global_policies.gl... | 0.659515 | 0.219212 |
import tensorflow as tf
def make_sequence_example(inputs, labels=None):
"""Returns a SequenceExample for the given inputs and labels(optional).
Args:
inputs: A list of input vectors. Each input vector is a list of floats.
labels(optional): A list of label vectors. Each label vector is a list o... | src/io_funcs/tfrecords_io.py | import tensorflow as tf
def make_sequence_example(inputs, labels=None):
"""Returns a SequenceExample for the given inputs and labels(optional).
Args:
inputs: A list of input vectors. Each input vector is a list of floats.
labels(optional): A list of label vectors. Each label vector is a list o... | 0.910341 | 0.636946 |
"""Tests for the pixel_data_handlers.util module."""
from sys import byteorder
import pytest
try:
import numpy as np
HAVE_NP = True
except ImportError:
HAVE_NP = False
from pydicom import dcmread
from pydicom.data import get_testdata_files
from pydicom.dataset import Dataset
from pydicom.pixel_data_hand... | csg_fileutil_libs/pydicom/tests/test_handler_util.py | """Tests for the pixel_data_handlers.util module."""
from sys import byteorder
import pytest
try:
import numpy as np
HAVE_NP = True
except ImportError:
HAVE_NP = False
from pydicom import dcmread
from pydicom.data import get_testdata_files
from pydicom.dataset import Dataset
from pydicom.pixel_data_hand... | 0.65368 | 0.571079 |
from __future__ import print_function
import traceback
from muddery.utils import utils
from muddery.statements.statement_handler import STATEMENT_HANDLER
from muddery.utils.localized_strings_handler import _
from muddery.mappings.typeclass_set import TYPECLASS
from evennia.utils import logger
from django.conf import s... | muddery/typeclasses/locked_exit.py | from __future__ import print_function
import traceback
from muddery.utils import utils
from muddery.statements.statement_handler import STATEMENT_HANDLER
from muddery.utils.localized_strings_handler import _
from muddery.mappings.typeclass_set import TYPECLASS
from evennia.utils import logger
from django.conf import s... | 0.536313 | 0.138142 |
import six
from ...core.qt import QtCore, QtGui, QtWidgets, Qt
from camelot.core.utils import ugettext_lazy
from camelot.core.utils import ugettext as _
from camelot.view.art import Icon
class TranslateLabelAction(QtWidgets.QAction):
translate_icon = Icon( 'tango/16x16/apps/preferences-desktop-locale.png' )... | camelot/view/controls/user_translatable_label.py |
import six
from ...core.qt import QtCore, QtGui, QtWidgets, Qt
from camelot.core.utils import ugettext_lazy
from camelot.core.utils import ugettext as _
from camelot.view.art import Icon
class TranslateLabelAction(QtWidgets.QAction):
translate_icon = Icon( 'tango/16x16/apps/preferences-desktop-locale.png' )... | 0.450843 | 0.071656 |
import peewee as pw
def migrate(migrator, database, fake=False, **kwargs): # skipcq: PYL-W0613
@migrator.create_model
class EventSource(pw.Model): # skipcq: PYL-W0612
id = pw.AutoField()
name = pw.CharField(max_length=255, unique=True)
class Meta:
table_name = "eventsou... | backend/migrations/001_initial.py |
import peewee as pw
def migrate(migrator, database, fake=False, **kwargs): # skipcq: PYL-W0613
@migrator.create_model
class EventSource(pw.Model): # skipcq: PYL-W0612
id = pw.AutoField()
name = pw.CharField(max_length=255, unique=True)
class Meta:
table_name = "eventsou... | 0.495117 | 0.122602 |
import numpy as np
from numpy import linalg as LA
import pandas as pd
import matplotlib.pyplot as plt
import os
from utils import covariance, LinearLeastSquare, TotalLeastSquare, RANSAC
np.set_printoptions(formatter={'all':lambda x: str(x)})
file =os.path.join("../data","insurance_data.csv")
# Read cvs data into ... | code/P3.py | import numpy as np
from numpy import linalg as LA
import pandas as pd
import matplotlib.pyplot as plt
import os
from utils import covariance, LinearLeastSquare, TotalLeastSquare, RANSAC
np.set_printoptions(formatter={'all':lambda x: str(x)})
file =os.path.join("../data","insurance_data.csv")
# Read cvs data into ... | 0.710929 | 0.704093 |
import os
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
import dialogflow
from core.models import Contest
CONTEST_ENTITY_TYPE = 'contest-name'
TICKET_NUMBER_ENTITY_TYPE = 'ticket-number'
class Command(BaseCommand):
help = 'Updates Dialogflow contest & tick... | api/core/management/commands/update_dialogflow_entities.py |
import os
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
import dialogflow
from core.models import Contest
CONTEST_ENTITY_TYPE = 'contest-name'
TICKET_NUMBER_ENTITY_TYPE = 'ticket-number'
class Command(BaseCommand):
help = 'Updates Dialogflow contest & tick... | 0.415136 | 0.1178 |
import cv2 as cv
import os
import imutils
# La capa de entrada es la primera parte de nuestra pequeña red neuronal que almacenara
# todos los datos iniciales de Reconocimiento Facial
class Capa1Entrada():
def __init__(self):
pass
# La funcion busca la ruta y verifica si existe la carpeta ... | EntradadeDatos.py | import cv2 as cv
import os
import imutils
# La capa de entrada es la primera parte de nuestra pequeña red neuronal que almacenara
# todos los datos iniciales de Reconocimiento Facial
class Capa1Entrada():
def __init__(self):
pass
# La funcion busca la ruta y verifica si existe la carpeta ... | 0.17849 | 0.284489 |
"""CF that triggers on GCS bucket upload to calculate product diffs."""
import datetime
import json
import logging
import os
from typing import Any, Collection, Dict, List
from google.api_core import exceptions
from google.cloud import bigquery
from google.cloud import storage
import iso8601
import pytz
import schem... | cloud_functions/gcs-bq-retry-feed-load/main.py |
"""CF that triggers on GCS bucket upload to calculate product diffs."""
import datetime
import json
import logging
import os
from typing import Any, Collection, Dict, List
from google.api_core import exceptions
from google.cloud import bigquery
from google.cloud import storage
import iso8601
import pytz
import schem... | 0.79538 | 0.14774 |
import pprint
import re # noqa: F401
import six
class MonitorType(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
allowed enum values
"""
HTTP = "Http"
HTTPS = "Https"
CONNECT = "Connect"
PING = "... | uptrends/models/monitor_type.py | import pprint
import re # noqa: F401
import six
class MonitorType(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
allowed enum values
"""
HTTP = "Http"
HTTPS = "Https"
CONNECT = "Connect"
PING = "... | 0.584627 | 0.118896 |
import datetime
import fuel
def update_refueling_list():
r0 = fuel.Refueling.all().order('odo').get()
if r0.odo > 0:
new_r0 = fuel.Refueling(date=datetime.datetime.combine(r0.date.date(),datetime.time(0,0,0)), odo=0, liters=0.0)
new_r0.save()
rest_liters = list(fuel.Refueling.all().order(... | fuelmath.py | import datetime
import fuel
def update_refueling_list():
r0 = fuel.Refueling.all().order('odo').get()
if r0.odo > 0:
new_r0 = fuel.Refueling(date=datetime.datetime.combine(r0.date.date(),datetime.time(0,0,0)), odo=0, liters=0.0)
new_r0.save()
rest_liters = list(fuel.Refueling.all().order(... | 0.166438 | 0.256879 |
import os
import numpy as np
from cliport.tasks.task import Task
from cliport.utils import utils
class PackingShapes(Task):
"""Packing Shapes base class."""
def __init__(self):
super().__init__()
# self.ee = 'suction'
self.max_steps = 1
# self.metric = 'pose'
# self.... | cliport/tasks/packing_shapes.py |
import os
import numpy as np
from cliport.tasks.task import Task
from cliport.utils import utils
class PackingShapes(Task):
"""Packing Shapes base class."""
def __init__(self):
super().__init__()
# self.ee = 'suction'
self.max_steps = 1
# self.metric = 'pose'
# self.... | 0.593845 | 0.228114 |
False = 0
True = 1
import constants
from qt import QComboBox, SIGNAL, PYSIGNAL, QSizePolicy
class guiComboBox(QComboBox):
def __init__(self, parent, *args):
QComboBox.__init__(self, False, parent, *args)
self.setAutoCompletion(True)
self.index_to_key = {}
self.key_to_index = {}
... | kuragui/guicombobox.py | False = 0
True = 1
import constants
from qt import QComboBox, SIGNAL, PYSIGNAL, QSizePolicy
class guiComboBox(QComboBox):
def __init__(self, parent, *args):
QComboBox.__init__(self, False, parent, *args)
self.setAutoCompletion(True)
self.index_to_key = {}
self.key_to_index = {}
... | 0.254231 | 0.26547 |
influencer = {
'mahathir': [
'tun mahathir',
'madey',
'dr mahathir',
'tun m',
'mahathir',
'madir',
'dr m',
'mahathir muhamad',
],
'anwar ibrahim': ['anwar ibrahim', 'anwar'],
'najib razak': [
'najib razak',
'ajib',
'... | malaya/topic/influencer.py | influencer = {
'mahathir': [
'tun mahathir',
'madey',
'dr mahathir',
'tun m',
'mahathir',
'madir',
'dr m',
'mahathir muhamad',
],
'anwar ibrahim': ['anwar ibrahim', 'anwar'],
'najib razak': [
'najib razak',
'ajib',
'... | 0.200636 | 0.272693 |
import tensorflow as tf
def build_model(mode, inputs, params):
"""Compute logits of the model (output distribution)
Args:
mode: (string) 'train', 'eval', etc.
inputs: (dict) contains the inputs of the graph (features, labels...)
this can be `tf.placeholder` or outputs of `tf.... | tensorflow/nlp/model/model_fn.py |
import tensorflow as tf
def build_model(mode, inputs, params):
"""Compute logits of the model (output distribution)
Args:
mode: (string) 'train', 'eval', etc.
inputs: (dict) contains the inputs of the graph (features, labels...)
this can be `tf.placeholder` or outputs of `tf.... | 0.957932 | 0.679986 |
import re
import web
url = 'http://www.shabdkosh.com/s?e=%s&t=1'
r_inl = re.compile(r'([^<]+)<')
r_speech = re.compile(r'(?i)h3 class="([^"]+)">\1\ ')
term = None
speech = None
def hindiety(jenni, word):
parts = word.split(' ')
if len(parts) == 1:
jenni.say('No term given.')
return
... | modules/hindiety.py | import re
import web
url = 'http://www.shabdkosh.com/s?e=%s&t=1'
r_inl = re.compile(r'([^<]+)<')
r_speech = re.compile(r'(?i)h3 class="([^"]+)">\1\ ')
term = None
speech = None
def hindiety(jenni, word):
parts = word.split(' ')
if len(parts) == 1:
jenni.say('No term given.')
return
... | 0.322739 | 0.353958 |
from setuptools import setup, find_packages
from os import path
setup(
name='seamless-framework',
version='0.2',
description='a cell-based programming framework',
long_description="""Seamless is a framework to set up computations (and visualizations) that respond to changes in cells. Cells contain t... | WIP/setup.py | from setuptools import setup, find_packages
from os import path
setup(
name='seamless-framework',
version='0.2',
description='a cell-based programming framework',
long_description="""Seamless is a framework to set up computations (and visualizations) that respond to changes in cells. Cells contain t... | 0.643889 | 0.382459 |
import sys
lst = sys.path[0].split("/")
string = ""
for i in range(len(lst)-1):
string += lst[i] + "/"
sys.path.append(string)
from Util import Util as util
from Util import Constants as constants
from datetime import datetime, timezone
import pytz
class EtDateTime:
'''
etDateTime can represent time v... | Calendar/etDateTime.py |
import sys
lst = sys.path[0].split("/")
string = ""
for i in range(len(lst)-1):
string += lst[i] + "/"
sys.path.append(string)
from Util import Util as util
from Util import Constants as constants
from datetime import datetime, timezone
import pytz
class EtDateTime:
'''
etDateTime can represent time v... | 0.503906 | 0.365881 |
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
import traceback
# disable insecure warnings
requests.packages.urllib3.disable_warnings()
''' GLOBAL VARIABLES '''
VERIFY_SSL = not demisto.params().get('insecure', False)
DATE_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
handle_proxy()
de... | Packs/MalwationAIMA/Integrations/MalwationAIMA/MalwationAIMA.py | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
import traceback
# disable insecure warnings
requests.packages.urllib3.disable_warnings()
''' GLOBAL VARIABLES '''
VERIFY_SSL = not demisto.params().get('insecure', False)
DATE_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
handle_proxy()
de... | 0.60778 | 0.175132 |
import scipy.linalg
import os, sys
import numpy as np
from spectral.io import envi
import json
import logging
import argparse
import random
from numpy.random import normal
from numpy.random import randint
from scipy.interpolate import interp1d
linearity_header_string = """ENVI
description = {{Linearity Correction Fil... | synthetic/synthesize_L1A.py |
import scipy.linalg
import os, sys
import numpy as np
from spectral.io import envi
import json
import logging
import argparse
import random
from numpy.random import normal
from numpy.random import randint
from scipy.interpolate import interp1d
linearity_header_string = """ENVI
description = {{Linearity Correction Fil... | 0.317955 | 0.191422 |
import sys
class ParseError (Exception):
pass
def error (msg, exit=0):
sys.stderr.write (msg)
if exit:
sys.exit (exit)
def progress (msg):
sys.stderr.write(msg)
def removeQuote (text):
"""Remove quotes from a literal.
"""
if len(text) >= 2 and text[0] == text[len(text)-1] == '"':
... | main/toolkit/src2xml/source/globals.py |
import sys
class ParseError (Exception):
pass
def error (msg, exit=0):
sys.stderr.write (msg)
if exit:
sys.exit (exit)
def progress (msg):
sys.stderr.write(msg)
def removeQuote (text):
"""Remove quotes from a literal.
"""
if len(text) >= 2 and text[0] == text[len(text)-1] == '"':
... | 0.262558 | 0.105579 |
import pandas as pd
import argparse
def format_col_names(arr):
if len(arr) == 0:
return '()'
res = '('
res += str(arr[0])
for i in range(1, len(arr)):
res += ', ' + str(arr[i])
res += ')'
return res
def format_col_values(arr):
if len(arr) == 0:
return '()'
re... | sql_insert_query_generator.py | import pandas as pd
import argparse
def format_col_names(arr):
if len(arr) == 0:
return '()'
res = '('
res += str(arr[0])
for i in range(1, len(arr)):
res += ', ' + str(arr[i])
res += ')'
return res
def format_col_values(arr):
if len(arr) == 0:
return '()'
re... | 0.266453 | 0.192369 |
from pathlib import Path
import os
# Build paths inside the project like this: BASE_DIR / 'subdir'.
# BASE_DIR = Path(__file__).resolve().parent.parent
BASE_DIR = Path(__file__).resolve().parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deploymen... | rush01/rush01/settings.py | from pathlib import Path
import os
# Build paths inside the project like this: BASE_DIR / 'subdir'.
# BASE_DIR = Path(__file__).resolve().parent.parent
BASE_DIR = Path(__file__).resolve().parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deploymen... | 0.599368 | 0.155976 |
from aces.tools import *
from ase import io
from aces.graph import fig, setLegend, pl, fit
import matplotlib
matplotlib.rcParams['xtick.major.width'] = 1
matplotlib.rcParams['ytick.major.width'] = 1
import numpy as np
text_style = dict(horizontalalignment='left', verticalalignment='center',
fo... | src/transmission.py | from aces.tools import *
from ase import io
from aces.graph import fig, setLegend, pl, fit
import matplotlib
matplotlib.rcParams['xtick.major.width'] = 1
matplotlib.rcParams['ytick.major.width'] = 1
import numpy as np
text_style = dict(horizontalalignment='left', verticalalignment='center',
fo... | 0.535827 | 0.302546 |
from pymaster import nmtlib as lib
import numpy as np
class NmtBin(object) :
"""
An NmtBin object defines the set of bandpowers used in the computation of the pseudo-Cl estimator. The definition of bandpowers is described in Section 3.6 of the scientific documentation.
:param int nside: HEALPix nside reso... | pymaster/bins.py | from pymaster import nmtlib as lib
import numpy as np
class NmtBin(object) :
"""
An NmtBin object defines the set of bandpowers used in the computation of the pseudo-Cl estimator. The definition of bandpowers is described in Section 3.6 of the scientific documentation.
:param int nside: HEALPix nside reso... | 0.907901 | 0.767537 |
from QChemTool import CorrelationFunction,TimeAxis
from QChemTool.Spectroscopy.spectraldensity import SpectralDensity
import numpy as np
from QChemTool.Development.FourierTransform import t2f
import matplotlib.pyplot as plt
start=0.0
step=0.1
length=40000
time = TimeAxis(start=start,length=length,step=step,fre... | tests/Axis/correlation_function.py | from QChemTool import CorrelationFunction,TimeAxis
from QChemTool.Spectroscopy.spectraldensity import SpectralDensity
import numpy as np
from QChemTool.Development.FourierTransform import t2f
import matplotlib.pyplot as plt
start=0.0
step=0.1
length=40000
time = TimeAxis(start=start,length=length,step=step,fre... | 0.499512 | 0.314603 |
from typing import Tuple
import pandas as pd
from .manager import get_tech_info, get_fuel_info
NHoursPerYear = 8760.0
def compute_capital_cost(fom: float, capex: float, lifetime: float, nb_hours: float = NHoursPerYear) -> float:
"""
Compute the 'periodized' cost of building one unit of power of a certain t... | epippy/technologies/costs.py | from typing import Tuple
import pandas as pd
from .manager import get_tech_info, get_fuel_info
NHoursPerYear = 8760.0
def compute_capital_cost(fom: float, capex: float, lifetime: float, nb_hours: float = NHoursPerYear) -> float:
"""
Compute the 'periodized' cost of building one unit of power of a certain t... | 0.95963 | 0.693901 |
import unittest
from typing import Any
from uuid import UUID
import dataclasses
from marshmallow import Schema, ValidationError
from marshmallow.fields import Field, UUID as UUIDField
from marshmallow_dataclass import class_schema
class TestClassSchema(unittest.TestCase):
def test_simple_unique_schemas(self):
... | tests/test_class_schema.py | import unittest
from typing import Any
from uuid import UUID
import dataclasses
from marshmallow import Schema, ValidationError
from marshmallow.fields import Field, UUID as UUIDField
from marshmallow_dataclass import class_schema
class TestClassSchema(unittest.TestCase):
def test_simple_unique_schemas(self):
... | 0.816991 | 0.420481 |
from DNA_IO import *;
import h5py
import sys
from joblib import Parallel, delayed
import multiprocessing
def getMatrix(file_name, chr_pos_frac ):
seq_vecs = hash_sequences_1hot(file_name)
seq_headers = seq_vecs.keys()
train_seqs = []
train_frac = []
train_scores = []
for header in seq_headers:
... | Extract_frac/extract_frac.py | from DNA_IO import *;
import h5py
import sys
from joblib import Parallel, delayed
import multiprocessing
def getMatrix(file_name, chr_pos_frac ):
seq_vecs = hash_sequences_1hot(file_name)
seq_headers = seq_vecs.keys()
train_seqs = []
train_frac = []
train_scores = []
for header in seq_headers:
... | 0.136062 | 0.29761 |
from flask import Blueprint, request
from enum import Enum
import json
import validation
from utils import Error
import mongoengine.errors
import model
vote_blueprint = Blueprint("vote", __name__)
class Vote(Enum):
'''
An enum of the 3 possible votes:
upvote, downvote, and unvote.
'''
UP = 1
... | backend/vote.py | from flask import Blueprint, request
from enum import Enum
import json
import validation
from utils import Error
import mongoengine.errors
import model
vote_blueprint = Blueprint("vote", __name__)
class Vote(Enum):
'''
An enum of the 3 possible votes:
upvote, downvote, and unvote.
'''
UP = 1
... | 0.522446 | 0.157493 |
import datetime
from flask import Blueprint, render_template,abort,request,redirect,url_for,flash,session,g
from sqlalchemy import join,outerjoin
from pythonnewbbs import db
from pythonnewbbs.auth import login_required
from pythonnewbbs.db import Categories,Topics,Posts,Users
#声明蓝图
bp =Blueprint("blog",__name__)
@bp... | pythonnewbbs/blog.py | import datetime
from flask import Blueprint, render_template,abort,request,redirect,url_for,flash,session,g
from sqlalchemy import join,outerjoin
from pythonnewbbs import db
from pythonnewbbs.auth import login_required
from pythonnewbbs.db import Categories,Topics,Posts,Users
#声明蓝图
bp =Blueprint("blog",__name__)
@bp... | 0.307982 | 0.09314 |
import datetime as dt
import dateutil.tz
import pandas as pd
import matplotlib.pyplot as plt
ams = dateutil.tz.gettz('Europe/Amsterdam')
utc = dateutil.tz.tzutc()
start_graph = dt.datetime(2021, 3, 20, 18, tzinfo=utc)
end_graph = start_graph + dt.timedelta(minutes=240)
def trivial_interpolation_windnet():
base_... | one_time_scripts/windnet_interpolation.py | import datetime as dt
import dateutil.tz
import pandas as pd
import matplotlib.pyplot as plt
ams = dateutil.tz.gettz('Europe/Amsterdam')
utc = dateutil.tz.tzutc()
start_graph = dt.datetime(2021, 3, 20, 18, tzinfo=utc)
end_graph = start_graph + dt.timedelta(minutes=240)
def trivial_interpolation_windnet():
base_... | 0.298083 | 0.147034 |
def mean_average_precision(sort_data):
"""
Evaluate mean average precision
"""
count_1 = 0
sum_precision = 0
for index in range(len(sort_data)):
if sort_data[index][1] == 1:
count_1 += 1
sum_precision += 1.0 * count_1 / (index + 1)
return sum_precision / count... | research/nlp/dam/src/douban_evaluation.py | def mean_average_precision(sort_data):
"""
Evaluate mean average precision
"""
count_1 = 0
sum_precision = 0
for index in range(len(sort_data)):
if sort_data[index][1] == 1:
count_1 += 1
sum_precision += 1.0 * count_1 / (index + 1)
return sum_precision / count... | 0.701815 | 0.609844 |
import matplotlib
matplotlib.use('Agg')
from hcipy import *
import numpy as np
import matplotlib.pyplot as plt
import os
import pytest
import shutil
from subprocess import Popen
def is_ffmpeg_installed():
ffmpeg_path = Configuration().plotting.ffmpeg_path
if ffmpeg_path is None:
ffmpeg_path = 'ffmpeg'
return s... | tests/test_plotting.py | import matplotlib
matplotlib.use('Agg')
from hcipy import *
import numpy as np
import matplotlib.pyplot as plt
import os
import pytest
import shutil
from subprocess import Popen
def is_ffmpeg_installed():
ffmpeg_path = Configuration().plotting.ffmpeg_path
if ffmpeg_path is None:
ffmpeg_path = 'ffmpeg'
return s... | 0.524151 | 0.469155 |
import argparse
import os
import logging
import sys
import time
import numpy as np
import torch
import gym
from utils import *
from transform import Transform, ZFilter, Bound
from sampler import Sampler
from trpo import TRPO
from agent import Agent
from emgail import EMGail
from mlp_model import EMGPolicy, EMGValue, GP... | irl/main.py | import argparse
import os
import logging
import sys
import time
import numpy as np
import torch
import gym
from utils import *
from transform import Transform, ZFilter, Bound
from sampler import Sampler
from trpo import TRPO
from agent import Agent
from emgail import EMGail
from mlp_model import EMGPolicy, EMGValue, GP... | 0.373419 | 0.099252 |
from datetime import datetime, timedelta
from typing import Optional
from zoneinfo import ZoneInfo
from gather_vision import models as app_models
from gather_vision.process import item as app_items
from gather_vision.process.component.http_client import HttpClient
from gather_vision.process.component.logger import Log... | gather_vision/process/service/playlist/abc_radio.py | from datetime import datetime, timedelta
from typing import Optional
from zoneinfo import ZoneInfo
from gather_vision import models as app_models
from gather_vision.process import item as app_items
from gather_vision.process.component.http_client import HttpClient
from gather_vision.process.component.logger import Log... | 0.880829 | 0.123102 |
import json
class ObjectSerializable:
def _default_handler(self, obj):
if obj != self and isinstance(obj, ObjectSerializable):
return obj.to_object()
else:
return obj.__dict__
def to_object(self):
return json.loads(json.dumps(self, default=self._default_handle... | importer.py | import json
class ObjectSerializable:
def _default_handler(self, obj):
if obj != self and isinstance(obj, ObjectSerializable):
return obj.to_object()
else:
return obj.__dict__
def to_object(self):
return json.loads(json.dumps(self, default=self._default_handle... | 0.493164 | 0.079032 |
import pymysql
import os
class DB_interface():
def __init__(self):
self.db_host = '127.0.0.1'
self.db_port = 3306
self.db_user = os.getenv('DB_SQL_USER')
self.db_password = os.getenv('DB_SQL_PASS')
self.database = 'Benchmarks'
def get_experiment_status(self) -> list:
... | webserver/webserver_db_interface.py | import pymysql
import os
class DB_interface():
def __init__(self):
self.db_host = '127.0.0.1'
self.db_port = 3306
self.db_user = os.getenv('DB_SQL_USER')
self.db_password = os.getenv('DB_SQL_PASS')
self.database = 'Benchmarks'
def get_experiment_status(self) -> list:
... | 0.315314 | 0.100879 |
from PyQt5.QtGui import QCursor
from PyQt5.QtCore import pyqtSlot, Qt
from PyQt5.QtWidgets import QMainWindow, QApplication, QFileSystemModel,\
QMenu, QMessageBox, QFileDialog
import os
import pyqtgraph as pg
from utils import *
color = ('b', 'c', 'g', 'y', 'r', 'm')
class MainWindow(QMa... | Rock-Spectrum-Assistant.py | from PyQt5.QtGui import QCursor
from PyQt5.QtCore import pyqtSlot, Qt
from PyQt5.QtWidgets import QMainWindow, QApplication, QFileSystemModel,\
QMenu, QMessageBox, QFileDialog
import os
import pyqtgraph as pg
from utils import *
color = ('b', 'c', 'g', 'y', 'r', 'm')
class MainWindow(QMa... | 0.215145 | 0.128908 |
from torch.utils.data import Dataset
import os
import gzip
import numpy as np
from torchvision import transforms
class Normalize:
def __call__(self, image):
image = image.astype("float32") / 255.0
return image
class ToTensor:
def __call__(self, image):
image = np.expand_dims(image, axi... | torch_custom_callback_example.py | from torch.utils.data import Dataset
import os
import gzip
import numpy as np
from torchvision import transforms
class Normalize:
def __call__(self, image):
image = image.astype("float32") / 255.0
return image
class ToTensor:
def __call__(self, image):
image = np.expand_dims(image, axi... | 0.594787 | 0.348008 |
import asyncio
import logging
from functools import wraps
import inspect
from typing import (
Any,
Awaitable,
Callable,
NamedTuple,
Tuple,
Type,
TypeVar,
Union,
cast,
)
_T = TypeVar("_T")
_log = logging.getLogger(__name__)
async def _noop(*args, **kwargs):
pass
def retryab... | mognet/tools/retries.py | import asyncio
import logging
from functools import wraps
import inspect
from typing import (
Any,
Awaitable,
Callable,
NamedTuple,
Tuple,
Type,
TypeVar,
Union,
cast,
)
_T = TypeVar("_T")
_log = logging.getLogger(__name__)
async def _noop(*args, **kwargs):
pass
def retryab... | 0.760206 | 0.136091 |
import csv
# Community
import discord
from discord.ext import commands
class VRChatUserManager:
"""This class handles interaction with the user storage CSV file."""
def __init__(self, bot):
self.bot = bot
self.all_users = []
@classmethod
async def start(cls, bot):
instance =... | Classes/VRChatUserManager.py | import csv
# Community
import discord
from discord.ext import commands
class VRChatUserManager:
"""This class handles interaction with the user storage CSV file."""
def __init__(self, bot):
self.bot = bot
self.all_users = []
@classmethod
async def start(cls, bot):
instance =... | 0.618435 | 0.093471 |
import os
os.environ['PYGAME_HIDE_SUPPORT_PROMPT']="hide"
import threading
from pygame import mixer
from typing import List, overload
from pymusicterm.music import SongFile
# https://www.thecodingpup.com/post_detailed/music-player-in-python
class MusicPlayer:
""" Music player using pygame
This class uses pyga... | pymusicterm/music/player.py | import os
os.environ['PYGAME_HIDE_SUPPORT_PROMPT']="hide"
import threading
from pygame import mixer
from typing import List, overload
from pymusicterm.music import SongFile
# https://www.thecodingpup.com/post_detailed/music-player-in-python
class MusicPlayer:
""" Music player using pygame
This class uses pyga... | 0.725551 | 0.338583 |
__author__ = "<NAME>"
__email__ = "mncosta(at)isr(dot)tecnico(dot)ulisboa(dot)pt"
from __future__ import print_function
import numpy as np
import os
from timeit import default_timer as timer
from RiskPerception.CONFIG import OBJECT_MINIMUM_SCORE
def readObjectsCSV(fileName, minScore=0.6):
"""Read the objects fi... | RiskPerception/Objects.py | __author__ = "<NAME>"
__email__ = "mncosta(at)isr(dot)tecnico(dot)ulisboa(dot)pt"
from __future__ import print_function
import numpy as np
import os
from timeit import default_timer as timer
from RiskPerception.CONFIG import OBJECT_MINIMUM_SCORE
def readObjectsCSV(fileName, minScore=0.6):
"""Read the objects fi... | 0.66769 | 0.326593 |
import json
import time
import subprocess
import threading
import logging
import sys
import os
import signal
import traceback
import re
import requests
from .tools import sendEmails,saveStream,testRoomStatus,pidpool,ReturnCodeObserverThread,SleepKillerThread
from .bypyrm import psCheck,initBypyRmEmail,bypyrm,doBypy
fr... | pccold/pccold.py | import json
import time
import subprocess
import threading
import logging
import sys
import os
import signal
import traceback
import re
import requests
from .tools import sendEmails,saveStream,testRoomStatus,pidpool,ReturnCodeObserverThread,SleepKillerThread
from .bypyrm import psCheck,initBypyRmEmail,bypyrm,doBypy
fr... | 0.086078 | 0.041911 |