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import numpy as np import matplotlib.pyplot as plt from ars_lib.ars import ARSAgent, Normalizer, Policy, ParallelWorker from mini_bullet.minitaur_gym_env import MinitaurBulletEnv from tg_lib.tg_policy import TGPolicy import time import torch import os def main(): """ The main() function. """ print("START...
spot_bullet/src/old_eval_scripts/tg_eval.py
import numpy as np import matplotlib.pyplot as plt from ars_lib.ars import ARSAgent, Normalizer, Policy, ParallelWorker from mini_bullet.minitaur_gym_env import MinitaurBulletEnv from tg_lib.tg_policy import TGPolicy import time import torch import os def main(): """ The main() function. """ print("START...
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import torch import torch.nn as nn import torch.nn.functional as F from mmdet.models.builder import build_loss, HEADS from mmcv.cnn import normal_init from mmcv.cnn import ConvModule from mmcv.runner import force_fp32, auto_fp16 import cv2 import numpy as np @HEADS.register_module() class InstanceMaskAttentionHead(nn...
davarocr/davarocr/davar_spotting/models/seg_heads/instance_mask_att_head.py
import torch import torch.nn as nn import torch.nn.functional as F from mmdet.models.builder import build_loss, HEADS from mmcv.cnn import normal_init from mmcv.cnn import ConvModule from mmcv.runner import force_fp32, auto_fp16 import cv2 import numpy as np @HEADS.register_module() class InstanceMaskAttentionHead(nn...
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import pprint import re # noqa: F401 import six class ItemCounts(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 val...
embyapi/models/item_counts.py
import pprint import re # noqa: F401 import six class ItemCounts(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 val...
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class SketchKnowledgeBase(object): ''' SketchKnowledgeBase ''' def __init__(self): super(SketchKnowledgeBase, self).__init__() self.entities = {} self.actions = {} # Reversed IS-A actions self.asi = {} self._idcounter = {} def add_entity(self, entity...
knowledge_repr.py
class SketchKnowledgeBase(object): ''' SketchKnowledgeBase ''' def __init__(self): super(SketchKnowledgeBase, self).__init__() self.entities = {} self.actions = {} # Reversed IS-A actions self.asi = {} self._idcounter = {} def add_entity(self, entity...
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from ..builder import DETECTORS from .gl_two_stage import GLTwoStage import torch import torch.nn as nn import cv2 import numpy as np import mmcv @DETECTORS.register_module class GlobalGLGA(GLTwoStage): def __init__(self, p_size, batch_size, mode, ...
mmdet/models/detectors/global_gl_ga.py
from ..builder import DETECTORS from .gl_two_stage import GLTwoStage import torch import torch.nn as nn import cv2 import numpy as np import mmcv @DETECTORS.register_module class GlobalGLGA(GLTwoStage): def __init__(self, p_size, batch_size, mode, ...
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import pkg_resources import sys import os import shutil import subprocess import argparse from .shared_methods import set_up_logging helpstring = """ Welcome to the ribo try! Here we test the integration of several parts of the riboSeed pipeline. First, `ribo run` is performed on the included test dataset. Then, e...
riboSeed/riboTry.py
import pkg_resources import sys import os import shutil import subprocess import argparse from .shared_methods import set_up_logging helpstring = """ Welcome to the ribo try! Here we test the integration of several parts of the riboSeed pipeline. First, `ribo run` is performed on the included test dataset. Then, e...
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import logging from .base import GeckoAutomationBase from ..driver import GeckoWatercareProtocolHandler from ..const import GeckoConstants _LOGGER = logging.getLogger(__name__) class GeckoWaterCare(GeckoAutomationBase): """ Watercare manangement class """ def __init__(self, facade): super().__init...
gecko/geckolib/automation/watercare.py
import logging from .base import GeckoAutomationBase from ..driver import GeckoWatercareProtocolHandler from ..const import GeckoConstants _LOGGER = logging.getLogger(__name__) class GeckoWaterCare(GeckoAutomationBase): """ Watercare manangement class """ def __init__(self, facade): super().__init...
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from django.shortcuts import render from django.contrib.auth.decorators import login_required, permission_required from django.contrib.auth import get_user_model # utils from .utils import get_context, get_hitmans, get_role from .constants import FAILED, HITMAN, MANAGER, BOSS, COMPLETED # Models from .models import Hit...
src/spy_app/views.py
from django.shortcuts import render from django.contrib.auth.decorators import login_required, permission_required from django.contrib.auth import get_user_model # utils from .utils import get_context, get_hitmans, get_role from .constants import FAILED, HITMAN, MANAGER, BOSS, COMPLETED # Models from .models import Hit...
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import decimal import logging import enum import arrow from dos.parsers import extract_arrow, extract_number LOGGER = logging.getLogger() LOGGER.setLevel(logging.CRITICAL) NO_VALUE = object() class OpenAPIPropType(enum.Enum): INTEGER = "integer" NUMBER = "number" STRING = "string" BOOLEAN = "bool...
src/dos/prop.py
import decimal import logging import enum import arrow from dos.parsers import extract_arrow, extract_number LOGGER = logging.getLogger() LOGGER.setLevel(logging.CRITICAL) NO_VALUE = object() class OpenAPIPropType(enum.Enum): INTEGER = "integer" NUMBER = "number" STRING = "string" BOOLEAN = "bool...
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import logging import unittest import mock from qgis.core import QgsFeature, QgsFeatureRequest, QgsVectorLayer from catatom2osm.app import QgsSingleton from catatom2osm.geo.geometry import Geometry from catatom2osm.geo.layer.polygon import PolygonLayer from catatom2osm.geo.point import Point qgs = QgsSingleton() m_l...
test/geo/layer/test_polygon.py
import logging import unittest import mock from qgis.core import QgsFeature, QgsFeatureRequest, QgsVectorLayer from catatom2osm.app import QgsSingleton from catatom2osm.geo.geometry import Geometry from catatom2osm.geo.layer.polygon import PolygonLayer from catatom2osm.geo.point import Point qgs = QgsSingleton() m_l...
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import pytest from time import time from base10.base import Dialect, Metric, Reader, Writer from base10.exceptions import DialectError class TestDialects: def test_dialect_construction(self): assert isinstance(Dialect(), Dialect) def test_dialect_from_string_exception(self): dialect = Dialec...
base10/test/test_base.py
import pytest from time import time from base10.base import Dialect, Metric, Reader, Writer from base10.exceptions import DialectError class TestDialects: def test_dialect_construction(self): assert isinstance(Dialect(), Dialect) def test_dialect_from_string_exception(self): dialect = Dialec...
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import numpy as np from tqdm import tqdm import h5py from pathlib import Path from urllib.request import urlretrieve from zipfile import ZipFile from scipy.io import loadmat from hsdatasets.utils import TqdmUpTo DATASETS_CONFIG = { 'HyKo2-VIS': { 'name': 'vis_annotated.zip', 'url': 'ht...
hsdatasets/groundbased/prep.py
import numpy as np from tqdm import tqdm import h5py from pathlib import Path from urllib.request import urlretrieve from zipfile import ZipFile from scipy.io import loadmat from hsdatasets.utils import TqdmUpTo DATASETS_CONFIG = { 'HyKo2-VIS': { 'name': 'vis_annotated.zip', 'url': 'ht...
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import sys import time import os import socket import errno #---------------------------------------------------------------------- # FlashPolicy #---------------------------------------------------------------------- class policysvr (object): def __init__ (self): self._clients = {} self._sock4 = None self._s...
cannon/bin/flashsvr.py
import sys import time import os import socket import errno #---------------------------------------------------------------------- # FlashPolicy #---------------------------------------------------------------------- class policysvr (object): def __init__ (self): self._clients = {} self._sock4 = None self._s...
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from y2h.parser.base import BaseParser from y2h.parser.factory import ElemParserFactory TABLE_STYLE_CLASSES = { 'default': 'table', 'striped': 'table table-striped', 'bordered': 'table table-bordered', 'hover': 'table table-hover', 'condensed': 'table table-condensed', } ...
y2h/parser/elems/table.py
from y2h.parser.base import BaseParser from y2h.parser.factory import ElemParserFactory TABLE_STYLE_CLASSES = { 'default': 'table', 'striped': 'table table-striped', 'bordered': 'table table-bordered', 'hover': 'table table-hover', 'condensed': 'table table-condensed', } ...
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from django.test import TestCase from core import factories, models from core.models.base import DeadlineFrequency, PieceType, Phase, Season from core.tests import DiplomacyTestCaseMixin class TestTurn(TestCase, DiplomacyTestCaseMixin): def setUp(self): self.variant = models.Variant.objects.get(id='stan...
core/tests/test_turn.py
from django.test import TestCase from core import factories, models from core.models.base import DeadlineFrequency, PieceType, Phase, Season from core.tests import DiplomacyTestCaseMixin class TestTurn(TestCase, DiplomacyTestCaseMixin): def setUp(self): self.variant = models.Variant.objects.get(id='stan...
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from elasticsearch.client.utils import AddonClient, query_params, _make_path, SKIP_IN_PATH # COPYPASTA ingredient list: # https://github.com/elastic/elasticsearch-py/blob/1.x/elasticsearch/client/__init__.py#L809 # https://github.com/elastic/elasticsearch-watcher-py/blob/master/elasticsearch_watcher/watcher.py class...
elasticsearch_delete_by_query/plugin.py
from elasticsearch.client.utils import AddonClient, query_params, _make_path, SKIP_IN_PATH # COPYPASTA ingredient list: # https://github.com/elastic/elasticsearch-py/blob/1.x/elasticsearch/client/__init__.py#L809 # https://github.com/elastic/elasticsearch-watcher-py/blob/master/elasticsearch_watcher/watcher.py class...
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from rest_framework import serializers from .models import Article, Tag from authors.apps.articles.relations import TagsRelation class ArticleSerializers(serializers.ModelSerializer): def format_date(self, date): return date.strftime('%d %b %Y %H:%M:%S') def to_representation(self, instance): ...
authors/apps/articles/serializers.py
from rest_framework import serializers from .models import Article, Tag from authors.apps.articles.relations import TagsRelation class ArticleSerializers(serializers.ModelSerializer): def format_date(self, date): return date.strftime('%d %b %Y %H:%M:%S') def to_representation(self, instance): ...
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"""Provide tools for managing blade geometries.""" from io import BytesIO from typing import Iterable, Sequence, Union import numpy as np import stl from numpy.typing import NDArray from .io import generic_vertex_ordering from .profile import Airfoil class Blade: """Define a simple, generic blade object.""" ...
klingo/blade.py
"""Provide tools for managing blade geometries.""" from io import BytesIO from typing import Iterable, Sequence, Union import numpy as np import stl from numpy.typing import NDArray from .io import generic_vertex_ordering from .profile import Airfoil class Blade: """Define a simple, generic blade object.""" ...
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from mock import MagicMock, patch from nose.plugins.attrib import attr from ion.agents.data.handlers.handler_utils import _get_type, list_file_info, \ list_file_info_http, list_file_info_ftp, list_file_info_fs, \ get_time_from_filename, calculate_iteration_count, get_sbuffer from pyon.util.unit_test import Pyon...
ion/agents/data/handlers/test/test_handler_utils.py
from mock import MagicMock, patch from nose.plugins.attrib import attr from ion.agents.data.handlers.handler_utils import _get_type, list_file_info, \ list_file_info_http, list_file_info_ftp, list_file_info_fs, \ get_time_from_filename, calculate_iteration_count, get_sbuffer from pyon.util.unit_test import Pyon...
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from optparse import OptionParser import pysam import statistics class Molecule: def __init__(self, rname, start, end, \ newMolecID, barcode, \ interArrivals, count, \ mapqMedian, asMedian, nmMedian): self.rname = rname self.start = start ...
MolecEst/MolecLenEst.py
from optparse import OptionParser import pysam import statistics class Molecule: def __init__(self, rname, start, end, \ newMolecID, barcode, \ interArrivals, count, \ mapqMedian, asMedian, nmMedian): self.rname = rname self.start = start ...
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import sys from PyQt5 import uic, QtCore, QtGui from PyQt5.QtWidgets import * import build_db import datetime class CredibilityKnowledge: def __init__(self): self.ui = uic.loadUi("./ui/credibility.ui") # 组件名称查看credibility.ui self.set_ui() self.show_knowledge('', '') # 展示所有知识 ...
sourcecode/credibilityKnowledge.py
import sys from PyQt5 import uic, QtCore, QtGui from PyQt5.QtWidgets import * import build_db import datetime class CredibilityKnowledge: def __init__(self): self.ui = uic.loadUi("./ui/credibility.ui") # 组件名称查看credibility.ui self.set_ui() self.show_knowledge('', '') # 展示所有知识 ...
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import os from time import sleep import subprocess import logging import glob import db import keystoneclient.v2_0.client as ksclient from novaclient import client as novaclient import glanceclient from credentials import get_keystone_creds from credentials import get_nova_creds from dest_credentials import get_dest_k...
main.py
import os from time import sleep import subprocess import logging import glob import db import keystoneclient.v2_0.client as ksclient from novaclient import client as novaclient import glanceclient from credentials import get_keystone_creds from credentials import get_nova_creds from dest_credentials import get_dest_k...
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import sqlite3 from time import time import psutil import os from AnkiTools.tools.path import get_collection_path from AnkiTools.tools.create import AnkiContentCreator from AnkiTools.tools.write import write_anki_json, write_anki_table, write_anki_schema from AnkiTools.tools.read import read_anki_json, read_anki_table...
AnkiTools/api/app.py
import sqlite3 from time import time import psutil import os from AnkiTools.tools.path import get_collection_path from AnkiTools.tools.create import AnkiContentCreator from AnkiTools.tools.write import write_anki_json, write_anki_table, write_anki_schema from AnkiTools.tools.read import read_anki_json, read_anki_table...
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import discord import discord.ext.commands as commands import random import sys import os import requests import asyncio import logging import threading sys.path.insert(0, "../") import util class Streets(commands.Cog): def __init__(self, bot, timeouts, generic_responses): self.logger = logging.getLogger...
commands/streets.py
import discord import discord.ext.commands as commands import random import sys import os import requests import asyncio import logging import threading sys.path.insert(0, "../") import util class Streets(commands.Cog): def __init__(self, bot, timeouts, generic_responses): self.logger = logging.getLogger...
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import sys import click from . import fplapi from . import configure as conf from .cliprinter import out from .cliprinter import pretty_league from .cliprinter import pretty_liveleague from .cliprinter import pretty_leagues from .cliprinter import pretty_picks_info from .cliprinter import pretty_picks_players from .cli...
fplcli/cli.py
import sys import click from . import fplapi from . import configure as conf from .cliprinter import out from .cliprinter import pretty_league from .cliprinter import pretty_liveleague from .cliprinter import pretty_leagues from .cliprinter import pretty_picks_info from .cliprinter import pretty_picks_players from .cli...
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import json import pytest from rest_framework import status from django.conf import settings from usaspending_api.common.experimental_api_flags import ELASTICSEARCH_HEADER_VALUE, EXPERIMENTAL_API_HEADER @pytest.mark.django_db def test_elasticsearch_headers(client, monkeypatch, elasticsearch_transaction_index): ...
usaspending_api/search/tests/integration/spending_by_category/test_elasticsearch_header.py
import json import pytest from rest_framework import status from django.conf import settings from usaspending_api.common.experimental_api_flags import ELASTICSEARCH_HEADER_VALUE, EXPERIMENTAL_API_HEADER @pytest.mark.django_db def test_elasticsearch_headers(client, monkeypatch, elasticsearch_transaction_index): ...
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import functools import os import time from absl import logging from clu import metric_writers import flax import jax import jax.numpy as jnp import ml_collections import numpy as np import tensorflow as tf from vit_jax import checkpoint from vit_jax import input_pipeline from vit_jax import models from vit_jax impo...
vit_jax/train.py
import functools import os import time from absl import logging from clu import metric_writers import flax import jax import jax.numpy as jnp import ml_collections import numpy as np import tensorflow as tf from vit_jax import checkpoint from vit_jax import input_pipeline from vit_jax import models from vit_jax impo...
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import pygame from settings import * import random class Cell: def __init__(self, game, x, y, bombs): self.game = game self.x = x self.y = y self.i = x // TILESIZE self.j = y // TILESIZE self.revelada = False self.bomba = False self.bombas_total = bo...
src/cell.py
import pygame from settings import * import random class Cell: def __init__(self, game, x, y, bombs): self.game = game self.x = x self.y = y self.i = x // TILESIZE self.j = y // TILESIZE self.revelada = False self.bomba = False self.bombas_total = bo...
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from torch import nn from ..layers import TFEncoder, TFDecoder from ..utils.nn import LabelSmoothingLoss from . import SimultaneousNMT class SimultaneousTFNMT(SimultaneousNMT): def __init__(self, opts): """ Creates a SimultaneousNMTTransformer. :param opts: The options. """ ...
pysimt/models/snmt_tf.py
from torch import nn from ..layers import TFEncoder, TFDecoder from ..utils.nn import LabelSmoothingLoss from . import SimultaneousNMT class SimultaneousTFNMT(SimultaneousNMT): def __init__(self, opts): """ Creates a SimultaneousNMTTransformer. :param opts: The options. """ ...
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from dataclasses import dataclass from typing import List, Literal, Mapping, Set from kgdata.wikidata.models.wdentity import WDEntity import orjson from kgdata.config import WIKIDATA_DIR from kgdata.wikidata.models.multilingual import ( MultiLingualString, MultiLingualStringList, ) from sm.misc.deser import d...
kgdata/wikidata/models/wdproperty.py
from dataclasses import dataclass from typing import List, Literal, Mapping, Set from kgdata.wikidata.models.wdentity import WDEntity import orjson from kgdata.config import WIKIDATA_DIR from kgdata.wikidata.models.multilingual import ( MultiLingualString, MultiLingualStringList, ) from sm.misc.deser import d...
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"""Client and server classes corresponding to protobuf-defined services.""" import grpc from github.com.metaprov.modelaapi.services.labelingpipelinerun.v1 import labelingpipelinerun_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_labelingpipelinerun_dot_v1_dot_labelingpipelinerun__pb2 class Labelin...
lang/python/github/com/metaprov/modelaapi/services/labelingpipelinerun/v1/labelingpipelinerun_pb2_grpc.py
"""Client and server classes corresponding to protobuf-defined services.""" import grpc from github.com.metaprov.modelaapi.services.labelingpipelinerun.v1 import labelingpipelinerun_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_labelingpipelinerun_dot_v1_dot_labelingpipelinerun__pb2 class Labelin...
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import sys import click from tabulate import tabulate from . import admin from ...session import Session, is_legacy_server from ..pretty import print_error @admin.command() @click.option('-i', '--id', 'agent_id', required=True, help='The agent Id to inspect.') def agent(agent_id): ''' Show the...
src/ai/backend/client/cli/admin/agents.py
import sys import click from tabulate import tabulate from . import admin from ...session import Session, is_legacy_server from ..pretty import print_error @admin.command() @click.option('-i', '--id', 'agent_id', required=True, help='The agent Id to inspect.') def agent(agent_id): ''' Show the...
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__author__ = '<NAME> (yy(at)rikkyo.ac.jp)' __version__= '1.0' import sys import os import inspect from absl import app, flags from typing import Union, Dict, List, Tuple import numpy as np from astropy.io import fits as iofits from astropy.coordinates import Angle from regions import read_ds9 as read_ds9_region fr...
astro/linux/xismkreg.py
__author__ = '<NAME> (yy(at)rikkyo.ac.jp)' __version__= '1.0' import sys import os import inspect from absl import app, flags from typing import Union, Dict, List, Tuple import numpy as np from astropy.io import fits as iofits from astropy.coordinates import Angle from regions import read_ds9 as read_ds9_region fr...
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import os import logging import datetime from dateutil.tz import gettz import math from decimal import Decimal from common import (line, utils) import members_card_const # 環境変数の宣言 LIFF_ID = os.getenv('LIFF_ID') LOGGER_LEVEL = os.getenv("LOGGER_LEVEL") # ログ出力の設定 logger = logging.getLogger() if LOG...
backend/APP/members_card/send_message.py
import os import logging import datetime from dateutil.tz import gettz import math from decimal import Decimal from common import (line, utils) import members_card_const # 環境変数の宣言 LIFF_ID = os.getenv('LIFF_ID') LOGGER_LEVEL = os.getenv("LOGGER_LEVEL") # ログ出力の設定 logger = logging.getLogger() if LOG...
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import unittest from vgio.quake.tests.basecase import TestCase from vgio.quake import protocol class TestProtocolReadWrite(TestCase): def test_bad_message(self): protocol.Bad.write(self.buff) self.buff.seek(0) protocol.Bad.read(self.buff) def test_nop_message(self): protocol....
vgio/quake/tests/test_protocol.py
import unittest from vgio.quake.tests.basecase import TestCase from vgio.quake import protocol class TestProtocolReadWrite(TestCase): def test_bad_message(self): protocol.Bad.write(self.buff) self.buff.seek(0) protocol.Bad.read(self.buff) def test_nop_message(self): protocol....
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from .client import Client class Ftp(Client): """Ftp管理 """ def web_ftp_list(self, page='1', limit='15', type='-1', order='id desc', tojs='', search=''): """获取网站FTP列表 Args: page (str, optional): 当前分页. Defaults to '1'. limit (str, optional): 取出的数据行数. Defaults to '15'...
pybt/ftp.py
from .client import Client class Ftp(Client): """Ftp管理 """ def web_ftp_list(self, page='1', limit='15', type='-1', order='id desc', tojs='', search=''): """获取网站FTP列表 Args: page (str, optional): 当前分页. Defaults to '1'. limit (str, optional): 取出的数据行数. Defaults to '15'...
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def get_CUDA(vectorSize = 10, momentums = [0.,0.], shifts = [0.35,0.65], sigmas = [0.05, 0.05] , **kwargs): if len(shifts)%2==1: print "Must have even number of wavefunctions (pairs). Quitting..." quit() if (len(momentums)!= len(shifts)) or (len(momentums)!= len(sigmas)) or (len(shifts)!= len(si...
Code/Initialization/CUDA_Initializations/Default/Gaussians_1D_2P.py
def get_CUDA(vectorSize = 10, momentums = [0.,0.], shifts = [0.35,0.65], sigmas = [0.05, 0.05] , **kwargs): if len(shifts)%2==1: print "Must have even number of wavefunctions (pairs). Quitting..." quit() if (len(momentums)!= len(shifts)) or (len(momentums)!= len(sigmas)) or (len(shifts)!= len(si...
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import os import numpy from sklearn.model_selection import train_test_split from sklearn.base import ClusterMixin from sklearn.metrics import silhouette_score from pyquickhelper.loghelper import noLOG from pyquickhelper.benchhelper import GridBenchMark class MlGridBenchMark(GridBenchMark): """ The class tests...
src/mlstatpy/ml/ml_grid_benchmark.py
import os import numpy from sklearn.model_selection import train_test_split from sklearn.base import ClusterMixin from sklearn.metrics import silhouette_score from pyquickhelper.loghelper import noLOG from pyquickhelper.benchhelper import GridBenchMark class MlGridBenchMark(GridBenchMark): """ The class tests...
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import os import re from fabric.api import hide, lcd, local, prompt, settings PROJECT_PATH = os.path.dirname(os.path.realpath(__file__)) def test(): """Runs the blingalytics test suite.""" os.environ['PYTHONPATH'] = PROJECT_PATH with settings(hide('warnings'), warn_only=True): local('python tes...
fabfile.py
import os import re from fabric.api import hide, lcd, local, prompt, settings PROJECT_PATH = os.path.dirname(os.path.realpath(__file__)) def test(): """Runs the blingalytics test suite.""" os.environ['PYTHONPATH'] = PROJECT_PATH with settings(hide('warnings'), warn_only=True): local('python tes...
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import sys from time import sleep from cadence.clock_decision_context import DEFAULT_VERSION from cadence.workerfactory import WorkerFactory from cadence.workflow import workflow_method, Workflow, WorkflowClient TASK_LIST = "TestWorkflowGetVersion" DOMAIN = "sample" v1_hits = 0 v2_hits = 0 version_found_in_v2_step_...
cadence/tests/test_workflow_get_version.py
import sys from time import sleep from cadence.clock_decision_context import DEFAULT_VERSION from cadence.workerfactory import WorkerFactory from cadence.workflow import workflow_method, Workflow, WorkflowClient TASK_LIST = "TestWorkflowGetVersion" DOMAIN = "sample" v1_hits = 0 v2_hits = 0 version_found_in_v2_step_...
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from datetime import datetime, timedelta import json import numpy as np import os from PIL import Image, ImageTk import tkinter as tk from utils.downloading import SH_TCI_retrieve_successor from utils.utils import rows_to_pairs, consolidate_name class ImagePanel(tk.Canvas): def __init__(self, master, img): ...
utils/gui.py
from datetime import datetime, timedelta import json import numpy as np import os from PIL import Image, ImageTk import tkinter as tk from utils.downloading import SH_TCI_retrieve_successor from utils.utils import rows_to_pairs, consolidate_name class ImagePanel(tk.Canvas): def __init__(self, master, img): ...
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import torch import torch.nn import torch.nn.functional as F from typing import Dict, Any from dataclasses import dataclass from ..common import separate_output_digits from ..result import Result from ..model_interface import ModelInterface @dataclass class TupleRunResult(Result): reference_order: torch.Tensor ...
interfaces/recurrent/tuple_arithmetic.py
import torch import torch.nn import torch.nn.functional as F from typing import Dict, Any from dataclasses import dataclass from ..common import separate_output_digits from ..result import Result from ..model_interface import ModelInterface @dataclass class TupleRunResult(Result): reference_order: torch.Tensor ...
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import logging import json from ..contents import * from azure.iot.device import Message from azure.iot.device import MethodResponse logger = logging.getLogger(__name__) class IoTHubDeviceClient: def set_iot_hub_device_client(self, client): self.__iot_hub_device_client = client async def connect(sel...
mj_azure_iot_pnp_device/device/iothub_device_client.py
import logging import json from ..contents import * from azure.iot.device import Message from azure.iot.device import MethodResponse logger = logging.getLogger(__name__) class IoTHubDeviceClient: def set_iot_hub_device_client(self, client): self.__iot_hub_device_client = client async def connect(sel...
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from datetime import datetime class base(): def identify(self, fields): return all(elem in fields for elem in list(self.fields_map.keys())[:-4]) # last 4 keys are optional def txn_from_checking(self, data): return data == self._from_checking def txn_currency_conversion(self, data): ...
beancount_paypal/lang.py
from datetime import datetime class base(): def identify(self, fields): return all(elem in fields for elem in list(self.fields_map.keys())[:-4]) # last 4 keys are optional def txn_from_checking(self, data): return data == self._from_checking def txn_currency_conversion(self, data): ...
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from collections import OrderedDict import numpy as np import os import torch def create_utt2spkid_pairs(utt2spkid): _utt2spkid = OrderedDict() with open(utt2spkid, 'r') as u: for line in u: utt, spk = line.split() _utt2spkid[utt] = int(spk) return _utt2spkid def create_u...
espnet2/sid/extractor/utils.py
from collections import OrderedDict import numpy as np import os import torch def create_utt2spkid_pairs(utt2spkid): _utt2spkid = OrderedDict() with open(utt2spkid, 'r') as u: for line in u: utt, spk = line.split() _utt2spkid[utt] = int(spk) return _utt2spkid def create_u...
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import scipy.signal as s import numpy as np import matplotlib.pyplot as plt import pyabf from patch_clamp import database as db QUERY = """SELECT metadata.fname, metadata.cell_side, metadata.cell_n, metadata.mouse_id, metadata.treatment_group AS treatment, peaks...
patch_clamp/ap_analysis.py
import scipy.signal as s import numpy as np import matplotlib.pyplot as plt import pyabf from patch_clamp import database as db QUERY = """SELECT metadata.fname, metadata.cell_side, metadata.cell_n, metadata.mouse_id, metadata.treatment_group AS treatment, peaks...
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import http.server import time import threading import io import subprocess import os import numpy as np from PIL import Image, ImageChops from selenium import webdriver # Set to true to create a new set of reference images CREATE_REF = False # Run web server print("Starting web server...") os.chdir(os.path.dirname...
tests/run_tests.py
import http.server import time import threading import io import subprocess import os import numpy as np from PIL import Image, ImageChops from selenium import webdriver # Set to true to create a new set of reference images CREATE_REF = False # Run web server print("Starting web server...") os.chdir(os.path.dirname...
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import time, pygame, sys, os, shutil, derpapi os.environ['SDL_VIDEO_WINDOW_POS'] = "%d,%d" % (0,0) pygame.init() screen = pygame.display.set_mode([480,320], pygame.NOFRAME) pygame.display.flip() derpapi.store('BOOT', data=time.time()) pygame.mouse.set_cursor(*pygame.cursors.diamond) pygame.mouse.set_visible(...
DerPi/main_os.py
import time, pygame, sys, os, shutil, derpapi os.environ['SDL_VIDEO_WINDOW_POS'] = "%d,%d" % (0,0) pygame.init() screen = pygame.display.set_mode([480,320], pygame.NOFRAME) pygame.display.flip() derpapi.store('BOOT', data=time.time()) pygame.mouse.set_cursor(*pygame.cursors.diamond) pygame.mouse.set_visible(...
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import pytest from support.socket import DummySocketIO from core.constants import CellEvents, CellExecutionStatus from ..socket import LocalSocketIO, CellEventsSocket __author__ = '<NAME> (<EMAIL>)' @pytest.mark.unit @pytest.mark.utils def test_local_socketio(mocker): gsio = DummySocketIO() mocked = mocke...
core/utils/tests/test_socket.py
import pytest from support.socket import DummySocketIO from core.constants import CellEvents, CellExecutionStatus from ..socket import LocalSocketIO, CellEventsSocket __author__ = '<NAME> (<EMAIL>)' @pytest.mark.unit @pytest.mark.utils def test_local_socketio(mocker): gsio = DummySocketIO() mocked = mocke...
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import os import serial import pysynth as ps import paho.mqtt.client as mqtt SERIAL_PORT = '/dev/ttyACM0' SERIAL_RATE = 115200 MQTT_BROKER = "mqtt.eclipse.org" MQTT_PORT = 1883 MQTT_PUB_TOPIC = "kuviyam/chandrasekar/piano" keystate0 = [False] * 12 keystate1 = [False] * 12 keystate2 = [False] * 12 oct_cur = 0 oct_...
Arduino-python-piano/python_code/keyboard_mqtt_publish_notes.py
import os import serial import pysynth as ps import paho.mqtt.client as mqtt SERIAL_PORT = '/dev/ttyACM0' SERIAL_RATE = 115200 MQTT_BROKER = "mqtt.eclipse.org" MQTT_PORT = 1883 MQTT_PUB_TOPIC = "kuviyam/chandrasekar/piano" keystate0 = [False] * 12 keystate1 = [False] * 12 keystate2 = [False] * 12 oct_cur = 0 oct_...
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from kivy.app import App from kivy.base import runTouchApp from kivy.lang import Builder from kivy.properties import ( ObjectProperty, ListProperty, StringProperty, NumericProperty, Clock, partial, ) from kivy.uix.boxlayout import BoxLayout from kivy.uix.textinput import TextInput import os impo...
src/waclient/console.py
from kivy.app import App from kivy.base import runTouchApp from kivy.lang import Builder from kivy.properties import ( ObjectProperty, ListProperty, StringProperty, NumericProperty, Clock, partial, ) from kivy.uix.boxlayout import BoxLayout from kivy.uix.textinput import TextInput import os impo...
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import os,sys,json,redis from ssh import SSH_SSH from ssh_error import SSHError import threading import ssh_settings r = redis.StrictRedis(host=ssh_settings.redisip, port=ssh_settings.redisport, db=0) class SSHControler(object): def __init__(self): self.SSH = SSH_SSH() def controler_center(self, para...
devops/ops/views/ssh_module_controller.py
import os,sys,json,redis from ssh import SSH_SSH from ssh_error import SSHError import threading import ssh_settings r = redis.StrictRedis(host=ssh_settings.redisip, port=ssh_settings.redisport, db=0) class SSHControler(object): def __init__(self): self.SSH = SSH_SSH() def controler_center(self, para...
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import unittest import time from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.common.exceptions import NoSuchElementException class TC_Renter_SuccessfulLogin(unittest.TestCase): @classmethod def setUp(self): self.driver = webdriver.Chrome() def test_aafr...
SeleniumTestScripts/TC_Renter_SuccessfulLogin.py
import unittest import time from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.common.exceptions import NoSuchElementException class TC_Renter_SuccessfulLogin(unittest.TestCase): @classmethod def setUp(self): self.driver = webdriver.Chrome() def test_aafr...
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from ConfigParser import ConfigParser import os import re import subprocess import sys from termcolor import colored config = ConfigParser() ANSI_ESCAPE_RE = re.compile(r'\x1b[^m]*m') RANGE_RE = re.compile(r'(\d+)-(\d+)') ID_FILE = 'hgnids.txt' CONFIG_FILE = '.hgnrc' def fail(msg): print colored(msg, 'red') ...
hg_number.py
from ConfigParser import ConfigParser import os import re import subprocess import sys from termcolor import colored config = ConfigParser() ANSI_ESCAPE_RE = re.compile(r'\x1b[^m]*m') RANGE_RE = re.compile(r'(\d+)-(\d+)') ID_FILE = 'hgnids.txt' CONFIG_FILE = '.hgnrc' def fail(msg): print colored(msg, 'red') ...
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import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.io import loadmat #Be careful with the file path! data = loadmat('data/hw4.mat') from sklearn.preprocessing import OneHotEncoder encoder = OneHotEncoder(sparse=False, categories='auto') y_onehot = encoder.fit_transform(data['y']) def s...
IML_2018_Fall/Project4/hw4.py
import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.io import loadmat #Be careful with the file path! data = loadmat('data/hw4.mat') from sklearn.preprocessing import OneHotEncoder encoder = OneHotEncoder(sparse=False, categories='auto') y_onehot = encoder.fit_transform(data['y']) def s...
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import os from collections import OrderedDict from RouToolPa.Tools.Alignment import LongRanger from Pipelines.Abstract import Pipeline class TenXAlignmentPipeline(Pipeline): def __init__(self, max_threads=1, max_memory=10, longranger_dir=""): Pipeline.__init__(self, max_threads=max_threads, max_memory=m...
Pipelines/TenX/Alignment.py
import os from collections import OrderedDict from RouToolPa.Tools.Alignment import LongRanger from Pipelines.Abstract import Pipeline class TenXAlignmentPipeline(Pipeline): def __init__(self, max_threads=1, max_memory=10, longranger_dir=""): Pipeline.__init__(self, max_threads=max_threads, max_memory=m...
0.398289
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import re from collections import namedtuple from datetime import datetime, date, time import times from dateutil import rrule from zitkino import parsers from zitkino.utils import clean_whitespace from zitkino.models import Cinema, Showtime, ScrapedFilm from zitkino.scrapers import scrapers, Scraper cinema = Ci...
zitkino/scrapers/turned_off/kino_lucerna.py
import re from collections import namedtuple from datetime import datetime, date, time import times from dateutil import rrule from zitkino import parsers from zitkino.utils import clean_whitespace from zitkino.models import Cinema, Showtime, ScrapedFilm from zitkino.scrapers import scrapers, Scraper cinema = Ci...
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from pathlib import Path import os import pytest from examples_tests.test_util import SubProcessChecker working_path = Path(__file__).parent.parent @pytest.mark.usefixtures("ipu_sparse_ops") class TestTensorFlowSparseFcBenchmarks(SubProcessChecker): """High-level integration tests for TensorFlow dynamic sparse ...
code_examples/tensorflow/kernel_benchmarks/test/test_dynamic_sparse_fc.py
from pathlib import Path import os import pytest from examples_tests.test_util import SubProcessChecker working_path = Path(__file__).parent.parent @pytest.mark.usefixtures("ipu_sparse_ops") class TestTensorFlowSparseFcBenchmarks(SubProcessChecker): """High-level integration tests for TensorFlow dynamic sparse ...
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from vitamins.geometry import Vec3, Orientation from vitamins import math class Location(Vec3): """Objects that have a location.""" modified: bool = False @property def position(self) -> Vec3: return Vec3(self.x, self.y, self.z) @position.setter def position(self, value: Vec3): ...
vitamins/match/base.py
from vitamins.geometry import Vec3, Orientation from vitamins import math class Location(Vec3): """Objects that have a location.""" modified: bool = False @property def position(self) -> Vec3: return Vec3(self.x, self.y, self.z) @position.setter def position(self, value: Vec3): ...
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import channels from entity_pb2 import Entity from entity_pb2 import Player from world_pb2 import World from browserquest_broadcast_pb2 import SpawnRequest from browserquest_broadcast_pb2 import ListRequest from browserquest_broadcast_pb2 import MoveRequest from browserquest_broadcast_pb2 import AttackRequest from br...
session_server/services/browserquest_event.py
import channels from entity_pb2 import Entity from entity_pb2 import Player from world_pb2 import World from browserquest_broadcast_pb2 import SpawnRequest from browserquest_broadcast_pb2 import ListRequest from browserquest_broadcast_pb2 import MoveRequest from browserquest_broadcast_pb2 import AttackRequest from br...
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import pandas as pd import requests import re import datetime import json from pandas import Series from iex.utils import (param_bool, parse_date, validate_date_format, validate_range_set, validate_output_format, ...
iex/batch.py
import pandas as pd import requests import re import datetime import json from pandas import Series from iex.utils import (param_bool, parse_date, validate_date_format, validate_range_set, validate_output_format, ...
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0.259186
from __future__ import unicode_literals from django.utils.encoding import python_2_unicode_compatible from django.db import models, IntegrityError, DatabaseError, transaction from django.db.models import Q from django.urls import reverse from django.utils import timezone try: from version_utils.rpm import labelC...
gopatch/hosts/models.py
from __future__ import unicode_literals from django.utils.encoding import python_2_unicode_compatible from django.db import models, IntegrityError, DatabaseError, transaction from django.db.models import Q from django.urls import reverse from django.utils import timezone try: from version_utils.rpm import labelC...
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import math import torch import torch.nn as nn from torch.nn import TransformerEncoder, TransformerEncoderLayer, Linear, TransformerDecoder, TransformerDecoderLayer from torch.nn.modules.normalization import LayerNorm from .model import Transformer_EncoderDecoder_Seq2Seq from quaesita.PositionalEncoding import Position...
quaesita/transformerGANs.py
import math import torch import torch.nn as nn from torch.nn import TransformerEncoder, TransformerEncoderLayer, Linear, TransformerDecoder, TransformerDecoderLayer from torch.nn.modules.normalization import LayerNorm from .model import Transformer_EncoderDecoder_Seq2Seq from quaesita.PositionalEncoding import Position...
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from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('sites', '0002_alter_domain_unique'), ] operations = [ migrations.CreateModel( name='Attachment', fi...
site_cms/migrations/0001_initial.py
from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('sites', '0002_alter_domain_unique'), ] operations = [ migrations.CreateModel( name='Attachment', fi...
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import os from aim.engine.configs import * def get_experiment_path(repo_path: str, experiment_name: str) -> str: return os.path.join(repo_path, experiment_name) def get_experiment_run_path(repo_path: str, experiment_name: str, run_hash: str) -> str: path = os.path.join(get_exper...
aim/engine/repo/utils.py
import os from aim.engine.configs import * def get_experiment_path(repo_path: str, experiment_name: str) -> str: return os.path.join(repo_path, experiment_name) def get_experiment_run_path(repo_path: str, experiment_name: str, run_hash: str) -> str: path = os.path.join(get_exper...
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import logging import re import subprocess from dataclasses import dataclass from enum import Enum from pathlib import Path from typing import Sequence from datargs import arg, parse class PdfEngines(Enum): pdfroff = "pdfroff" wkhtmltopdf = "wkhtmltopdf" weasyprint = "weasyprint" prince = "prince" ...
programs/scons/convert_markdown.py
import logging import re import subprocess from dataclasses import dataclass from enum import Enum from pathlib import Path from typing import Sequence from datargs import arg, parse class PdfEngines(Enum): pdfroff = "pdfroff" wkhtmltopdf = "wkhtmltopdf" weasyprint = "weasyprint" prince = "prince" ...
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from django.conf.urls import url, include from django.contrib import admin from django.contrib.auth.views import logout from django.views.generic import TemplateView from . import views from django.conf import settings from django.conf.urls.static import static import accounts handler400 = 'imglnx.views.handler400'...
imglnx/urls.py
from django.conf.urls import url, include from django.contrib import admin from django.contrib.auth.views import logout from django.views.generic import TemplateView from . import views from django.conf import settings from django.conf.urls.static import static import accounts handler400 = 'imglnx.views.handler400'...
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import os import json with open('/etc/config.json') as config_file: config = json.load(config_file) # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # Se...
Backend/foodieshoot_api/foodieshoot_api/settings.py
import os import json with open('/etc/config.json') as config_file: config = json.load(config_file) # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # Se...
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response = { "result": { "result": { "order0": { "ID": "35943", "TITLE": "7-я Кожуховская ул., 4К1: 104%, 3.6, эт. 12/16, 10.5 -> 16.3 (от собственника)", "HONORIFIC": None, "NAME": None, "SECOND_NAME": None, ...
tests/real_responses/call_single_success.py
response = { "result": { "result": { "order0": { "ID": "35943", "TITLE": "7-я Кожуховская ул., 4К1: 104%, 3.6, эт. 12/16, 10.5 -> 16.3 (от собственника)", "HONORIFIC": None, "NAME": None, "SECOND_NAME": None, ...
0.363873
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from django.db.models.query import QuerySet from wagtail.wagtailsearch.backends.elasticsearch import ElasticsearchSearchBackend, ElasticsearchSearchQuery from wagtail.wagtailsearch.index import class_is_indexed class CustomElasticsearchSearchQuery(ElasticsearchSearchQuery): def __init__(self, queryset, query_stri...
search/custom_elasticsearch.py
from django.db.models.query import QuerySet from wagtail.wagtailsearch.backends.elasticsearch import ElasticsearchSearchBackend, ElasticsearchSearchQuery from wagtail.wagtailsearch.index import class_is_indexed class CustomElasticsearchSearchQuery(ElasticsearchSearchQuery): def __init__(self, queryset, query_stri...
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from __future__ import print_function import os import ast from . import utils def get_toplevel_imports(module): """Get the imports at the top-level of the given Python module. :param module: An actual module; not the name. :returns list: The absolute names of everything imported, """ path =...
metatools/imports/discovery.py
from __future__ import print_function import os import ast from . import utils def get_toplevel_imports(module): """Get the imports at the top-level of the given Python module. :param module: An actual module; not the name. :returns list: The absolute names of everything imported, """ path =...
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import logging import tunnel_ctl_service.linode_util as linode_util import paramiko log = logging.getLogger("module:" + __name__) # ssh commands # databases is_mysql_installed = "dpkg-query -f '${Status} @@ ${binary:Package}\n' -W | grep -v '^deinstall ok config-files @@ ' | grep '^.* @@ mysql-server$' > /dev/null" ...
tunnel_ctl_service/modules/debian_mysql.py
import logging import tunnel_ctl_service.linode_util as linode_util import paramiko log = logging.getLogger("module:" + __name__) # ssh commands # databases is_mysql_installed = "dpkg-query -f '${Status} @@ ${binary:Package}\n' -W | grep -v '^deinstall ok config-files @@ ' | grep '^.* @@ mysql-server$' > /dev/null" ...
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import re import random from apiclient.discovery import build from apiclient.errors import HttpError def youtube_search(q): # TODO: insert developer key youtube = build("youtube", "v3", developerKey="") # call the search.list method search_response = youtube.search().list( q=q, part=...
find_videos.py
import re import random from apiclient.discovery import build from apiclient.errors import HttpError def youtube_search(q): # TODO: insert developer key youtube = build("youtube", "v3", developerKey="") # call the search.list method search_response = youtube.search().list( q=q, part=...
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import sys from glados.es.ws2es.es_util import DefaultMappings from glados.es.ws2es.denormalization import DenormalizationHandler from glados.es.ws2es.util import SummableDict from glados.es.ws2es.denormalization.assay_handler import AssayDenormalizationHandler from glados.es.ws2es.denormalization.compound_handler impo...
src/glados/es/ws2es/denormalization/activity_handler.py
import sys from glados.es.ws2es.es_util import DefaultMappings from glados.es.ws2es.denormalization import DenormalizationHandler from glados.es.ws2es.util import SummableDict from glados.es.ws2es.denormalization.assay_handler import AssayDenormalizationHandler from glados.es.ws2es.denormalization.compound_handler impo...
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from random import randint import json class Pykemon(object): pykemon = [ [100, 'Pydiot', 'Pydiot','images/pydiot.png', 'Pydiot is an avian Pykamon with large wings, sharp talons, and a short, hooked beak'], [90, 'Pytata', 'Pytata', 'images/pytata.png', 'Pytata is cautious in the extreme....
PlaidCTF/2017/pykemon/pykemon.py
from random import randint import json class Pykemon(object): pykemon = [ [100, 'Pydiot', 'Pydiot','images/pydiot.png', 'Pydiot is an avian Pykamon with large wings, sharp talons, and a short, hooked beak'], [90, 'Pytata', 'Pytata', 'images/pytata.png', 'Pytata is cautious in the extreme....
0.321886
0.501709
import json import tempfile import subprocess from os import path from pprint import pformat from unittest import TestCase from pathlib import Path from ..util import setup_temp_dir, SAMPLES_DIR, TEMP_DIR from gltflib import GLTF # If set to True, for any models that fail to pass the equality check, this will automat...
tests/e2e/test_roundtrip.py
import json import tempfile import subprocess from os import path from pprint import pformat from unittest import TestCase from pathlib import Path from ..util import setup_temp_dir, SAMPLES_DIR, TEMP_DIR from gltflib import GLTF # If set to True, for any models that fail to pass the equality check, this will automat...
0.642881
0.480601
import numpy as np from numpy import zeros_like from scipy.linalg import svd s0 = np.array([[1, 0], [0, 1]]) s1 = np.array([[0, 1], [1, 0]]) s2 = np.array([[0, -1j], [1j, 0]]) s3 = np.array([[1, 0], [0, -1]]) s0T = s0.T s1T = s1.T s2T = s2.T s3T = s3.T pauli_dict = {0: s0, 1: s1, 2: s2, 3: s3} def pauli_mat(nbasis...
TB2J/pauli.py
import numpy as np from numpy import zeros_like from scipy.linalg import svd s0 = np.array([[1, 0], [0, 1]]) s1 = np.array([[0, 1], [1, 0]]) s2 = np.array([[0, -1j], [1j, 0]]) s3 = np.array([[1, 0], [0, -1]]) s0T = s0.T s1T = s1.T s2T = s2.T s3T = s3.T pauli_dict = {0: s0, 1: s1, 2: s2, 3: s3} def pauli_mat(nbasis...
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0.691621
from copy import deepcopy from optax import sgd from .._base.test_case import TestCase from .._core.stochastic_transition_model import StochasticTransitionModel from ..utils import get_transition_batch from ..regularizers import EntropyRegularizer from ._model_updater import ModelUpdater class TestModelUpdater(Test...
coax/model_updaters/_model_updater_test.py
from copy import deepcopy from optax import sgd from .._base.test_case import TestCase from .._core.stochastic_transition_model import StochasticTransitionModel from ..utils import get_transition_batch from ..regularizers import EntropyRegularizer from ._model_updater import ModelUpdater class TestModelUpdater(Test...
0.715126
0.488893
import os import numpy as np import torch from .cityscapes.data_loader import load_partition_data_cityscapes from .coco.segmentation.data_loader import load_partition_data_coco_segmentation from .pascal_voc_augmented.data_loader import load_partition_data_pascal_voc import logging def load(args): return load_syn...
app/fedcv/object_detection/data/data_loader.py
import os import numpy as np import torch from .cityscapes.data_loader import load_partition_data_cityscapes from .coco.segmentation.data_loader import load_partition_data_coco_segmentation from .pascal_voc_augmented.data_loader import load_partition_data_pascal_voc import logging def load(args): return load_syn...
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import torch import torch.nn as nn import torch.nn.functional as F # CTR的LR模型 # 主要是用 用户ID和物品ID,将他们进行onehot class LR(nn.Module): """ user_id, movie_id进行embedding的MLP网络模型 user共6040个,movie共3883个 """ def __init__(self): super(LR, self).__init__() # self.user_id_embed = nn.Embedding(...
models/fedavg/movielens/lr.py
import torch import torch.nn as nn import torch.nn.functional as F # CTR的LR模型 # 主要是用 用户ID和物品ID,将他们进行onehot class LR(nn.Module): """ user_id, movie_id进行embedding的MLP网络模型 user共6040个,movie共3883个 """ def __init__(self): super(LR, self).__init__() # self.user_id_embed = nn.Embedding(...
0.828072
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from itertools import cycle from string import capwords from fabric.colors import red, green, blue, magenta, white, yellow class ColorRow(dict): """ Ordered collection of column values. """ def __init__(self, table, **kwargs): super(ColorRow, self).__init__(self) self.table = table ...
gusset/colortable.py
from itertools import cycle from string import capwords from fabric.colors import red, green, blue, magenta, white, yellow class ColorRow(dict): """ Ordered collection of column values. """ def __init__(self, table, **kwargs): super(ColorRow, self).__init__(self) self.table = table ...
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import json import torch import pandas as pd import numpy as np from pathlib import Path from itertools import repeat from collections import OrderedDict from PIL import Image from scipy.special import softmax def stat_cuda(msg): print('--', msg) print('allocated: %dM, max allocated: %dM, cached: %dM, max cac...
utils/util.py
import json import torch import pandas as pd import numpy as np from pathlib import Path from itertools import repeat from collections import OrderedDict from PIL import Image from scipy.special import softmax def stat_cuda(msg): print('--', msg) print('allocated: %dM, max allocated: %dM, cached: %dM, max cac...
0.610105
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import datetime import logging from enum import IntEnum from functools import wraps from flask import g, request, jsonify from plugins.ethpassthrough.database.models import db_session, Project class ApiError(IntEnum): MISSING_API_KEY = 1 MISSING_PROJECT_ID = 2 PROJECT_NOT_EXIST = 3 PROJE...
plugins/ethpassthrough/middleware.py
import datetime import logging from enum import IntEnum from functools import wraps from flask import g, request, jsonify from plugins.ethpassthrough.database.models import db_session, Project class ApiError(IntEnum): MISSING_API_KEY = 1 MISSING_PROJECT_ID = 2 PROJECT_NOT_EXIST = 3 PROJE...
0.293607
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import cv2 import torch import random import torch.utils.data import torch.optim.lr_scheduler as lr_scheduler import numpy as np import scipy.io as scio import os import time from PIL import Image import model as model import anchor as anchor from tqdm import tqdm import random_erasing import logging fro...
src/hands2017.py
import cv2 import torch import random import torch.utils.data import torch.optim.lr_scheduler as lr_scheduler import numpy as np import scipy.io as scio import os import time from PIL import Image import model as model import anchor as anchor from tqdm import tqdm import random_erasing import logging fro...
0.24599
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from keras.layers import Input, Dense, Flatten, Reshape from keras.layers.advanced_activations import LeakyReLU from keras.layers.convolutional import Conv2D from keras.models import Model from keras.optimizers import Adam from ast import literal_eval from face_swap.PixelShuffler import PixelShuffler def conv(filter...
face_swap/autoencoder.py
from keras.layers import Input, Dense, Flatten, Reshape from keras.layers.advanced_activations import LeakyReLU from keras.layers.convolutional import Conv2D from keras.models import Model from keras.optimizers import Adam from ast import literal_eval from face_swap.PixelShuffler import PixelShuffler def conv(filter...
0.945425
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import nltk from pyvi.pyvi import ViTokenizer import re import ast with open('text/acronym.txt', 'r') as f: acronym = ast.literal_eval(str(f.read())) def int_to_vn(num): d = {0: 'không', 1: 'một', 2: 'hai', 3: 'ba', 4: 'bốn', 5: 'năm', 6: 'sáu', 7: 'bảy', 8: 'tám', 9: 'chín', 10: 'mười'} if num <= 10: ret...
text_normalization.py
import nltk from pyvi.pyvi import ViTokenizer import re import ast with open('text/acronym.txt', 'r') as f: acronym = ast.literal_eval(str(f.read())) def int_to_vn(num): d = {0: 'không', 1: 'một', 2: 'hai', 3: 'ba', 4: 'bốn', 5: 'năm', 6: 'sáu', 7: 'bảy', 8: 'tám', 9: 'chín', 10: 'mười'} if num <= 10: ret...
0.130092
0.349283
from pathlib import Path from collections import Counter, defaultdict INPUTFILE = "input.txt" SAMPLE_INPUT = """ 16 10 15 5 1 11 7 19 6 12 4 """ SAMPLE_INPUT2 = """ 28 33 18 42 31 14 46 20 48 47 24 23 49 45 19 38 39 11 1 32 25 35 8 17 7 9 4 2 34 10 3 """ # Utility functions def load_input(infile): return fil...
day10/day10.py
from pathlib import Path from collections import Counter, defaultdict INPUTFILE = "input.txt" SAMPLE_INPUT = """ 16 10 15 5 1 11 7 19 6 12 4 """ SAMPLE_INPUT2 = """ 28 33 18 42 31 14 46 20 48 47 24 23 49 45 19 38 39 11 1 32 25 35 8 17 7 9 4 2 34 10 3 """ # Utility functions def load_input(infile): return fil...
0.780035
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import argparse import unittest from unittest import mock import tensorflow as tf import numpy as np import shared.utils as utils from Inception_V3 import custom_baseline from Inception_V3.custom_baseline import build_custom_model class TestCustomInceptionV3Model(unittest.TestCase): @classmethod def setUpC...
Plant_Disease_Detection_Benchmark_models/tests/test_inceptionv3_custom_baseline.py
import argparse import unittest from unittest import mock import tensorflow as tf import numpy as np import shared.utils as utils from Inception_V3 import custom_baseline from Inception_V3.custom_baseline import build_custom_model class TestCustomInceptionV3Model(unittest.TestCase): @classmethod def setUpC...
0.850624
0.591841
import subprocess import csv import os import shutil import unittest class TestPlotScript(unittest.TestCase): RESULTS_DIR = "plot-results" REMYCC_NAME = os.path.join(os.environ["srcdir"], "RemyCC-2014-100x.dna") PLOT_SCRIPT = os.path.join(os.environ["srcdir"], "../scripts/plot.py") ORIGINALS_DIR = os...
tests/run-plot-script.py
import subprocess import csv import os import shutil import unittest class TestPlotScript(unittest.TestCase): RESULTS_DIR = "plot-results" REMYCC_NAME = os.path.join(os.environ["srcdir"], "RemyCC-2014-100x.dna") PLOT_SCRIPT = os.path.join(os.environ["srcdir"], "../scripts/plot.py") ORIGINALS_DIR = os...
0.489259
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import json from pathlib import Path import pickle BASE_DIR = Path("./Training/SImple_Resturant") USER_DATABASE = BASE_DIR / "users-information.json" FOOD_DATABASE = BASE_DIR / "food_menu.json" class UsersInfo: __instance = None def __init__(self): self.users = dict() self.keys = ['passwo...
SImple_Resturant/model.py
import json from pathlib import Path import pickle BASE_DIR = Path("./Training/SImple_Resturant") USER_DATABASE = BASE_DIR / "users-information.json" FOOD_DATABASE = BASE_DIR / "food_menu.json" class UsersInfo: __instance = None def __init__(self): self.users = dict() self.keys = ['passwo...
0.255251
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import requests from hashlib import md5 from allauth.socialaccount.providers.base import ProviderAccount from allauth.socialaccount.providers.core.oauth2.provider import OAuth2Provider class MailRuAccount(ProviderAccount): def get_profile_url(self): return self.account.extra_data.get('link') def get...
allauth/socialaccount/providers/dev_sites/mailru/provider.py
import requests from hashlib import md5 from allauth.socialaccount.providers.base import ProviderAccount from allauth.socialaccount.providers.core.oauth2.provider import OAuth2Provider class MailRuAccount(ProviderAccount): def get_profile_url(self): return self.account.extra_data.get('link') def get...
0.284974
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import unittest import filecmp import time from threading import Event from rx import * from TorrentPython.DownloadManager import DownloadManager from TorrentPython.MetaInfo import MetaInfo from TorrentPython.RoutingTable import RoutingTable from TorrentPython.TorrentUtils import TorrentUtils SAMPLE_TORRENT_PATH = '...
TorrentPython/unittest/DownloadManager_test.py
import unittest import filecmp import time from threading import Event from rx import * from TorrentPython.DownloadManager import DownloadManager from TorrentPython.MetaInfo import MetaInfo from TorrentPython.RoutingTable import RoutingTable from TorrentPython.TorrentUtils import TorrentUtils SAMPLE_TORRENT_PATH = '...
0.338624
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class LDA_original: @staticmethod def _convergence_(new, old, epsilon = 1.0e-3): ''' Check convergence. ''' delta = abs(new - old) return np.all(delta) < epsilon @staticmethod def _normalization_col(x): ''' Normalize a matrix. ...
LDA_withoutOPT.py
class LDA_original: @staticmethod def _convergence_(new, old, epsilon = 1.0e-3): ''' Check convergence. ''' delta = abs(new - old) return np.all(delta) < epsilon @staticmethod def _normalization_col(x): ''' Normalize a matrix. ...
0.801042
0.545286
import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.p...
src/onos_grpc_demo/proto/PortProto_pb2.py
import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.p...
0.211254
0.08438
from collections import OrderedDict from django.views.generic import TemplateView from django.contrib.postgres.fields.jsonb import KeyTextTransform from django.db.models import ( Case, When, F, Count, Sum, FloatField, Avg, Min, Max, Q ) from django.db.models.functions import Cast from rest_framework.views import AP...
sass/views/sass_dashboard_multiple.py
from collections import OrderedDict from django.views.generic import TemplateView from django.contrib.postgres.fields.jsonb import KeyTextTransform from django.db.models import ( Case, When, F, Count, Sum, FloatField, Avg, Min, Max, Q ) from django.db.models.functions import Cast from rest_framework.views import AP...
0.384565
0.173726
import django_tables2 from django.template.loader import get_template from django.utils.html import format_html, mark_safe from django_tables2.utils import Accessor import help_text from core.tables import CobwebBaseTable from projects.models import Claim, Nomination, Project class ProjectTable(CobwebBaseTable): ...
projects/tables.py
import django_tables2 from django.template.loader import get_template from django.utils.html import format_html, mark_safe from django_tables2.utils import Accessor import help_text from core.tables import CobwebBaseTable from projects.models import Claim, Nomination, Project class ProjectTable(CobwebBaseTable): ...
0.494141
0.089216
import pprint import carla import time import numpy as np import sys try: import pygame from pygame.locals import KMOD_CTRL from pygame.locals import KMOD_SHIFT from pygame.locals import K_0 from pygame.locals import K_9 from pygame.locals import K_BACKQUOTE from pygame.locals import K_BACK...
test_carla_manual.py
import pprint import carla import time import numpy as np import sys try: import pygame from pygame.locals import KMOD_CTRL from pygame.locals import KMOD_SHIFT from pygame.locals import K_0 from pygame.locals import K_9 from pygame.locals import K_BACKQUOTE from pygame.locals import K_BACK...
0.479991
0.142739
from pathlib import Path import cv2 import numpy as np import torch from torch.utils.data import Dataset, DataLoader from torchvision import transforms import augmenter from perception.utils.helpers import get_segmentation_tensor from perception.utils.segmentation_labels import DEFAULT_CLASSES class MultiTaskDatase...
perception/custom_datasets.py
from pathlib import Path import cv2 import numpy as np import torch from torch.utils.data import Dataset, DataLoader from torchvision import transforms import augmenter from perception.utils.helpers import get_segmentation_tensor from perception.utils.segmentation_labels import DEFAULT_CLASSES class MultiTaskDatase...
0.858793
0.497925
from datetime import datetime, timedelta from airflow.decorators import dag, task import os, sys sys.path.append('/opt/airflow/') from dags.connectors.sf import sf from dags.utils.vaults_at_risk.setup import _setup from dags.utils.vaults_at_risk.urns import _fetch_urns from dags.utils.vaults_at_risk.rates import _fet...
dags/prod_vaults_at_risk.py
from datetime import datetime, timedelta from airflow.decorators import dag, task import os, sys sys.path.append('/opt/airflow/') from dags.connectors.sf import sf from dags.utils.vaults_at_risk.setup import _setup from dags.utils.vaults_at_risk.urns import _fetch_urns from dags.utils.vaults_at_risk.rates import _fet...
0.348756
0.329607
import argparse import torch from torch.utils.data.dataloader import DataLoader from tqdm import tqdm from data_modules.dataset_factory import DatasetFactory from data_modules.image_dataset_data_module import ImageDatasetDataModule from metrics.cw import silverman_rule_of_thumb def parse_program_args() -> ar...
src/compute_cw_dataset_statistics.py
import argparse import torch from torch.utils.data.dataloader import DataLoader from tqdm import tqdm from data_modules.dataset_factory import DatasetFactory from data_modules.image_dataset_data_module import ImageDatasetDataModule from metrics.cw import silverman_rule_of_thumb def parse_program_args() -> ar...
0.678753
0.256855