code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import argparse
import glog as log
import torch
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader
from torchvision.transforms import transforms as t
from tqdm import tqdm
from datasets import VGGFace2, CelebA, NDG
from model.common import models_landmarks
from utils.landmarks_augmentation ... | pytorch_toolkit/face_recognition/evaluate_landmarks.py | import argparse
import glog as log
import torch
import torch.backends.cudnn as cudnn
from torch.utils.data import DataLoader
from torchvision.transforms import transforms as t
from tqdm import tqdm
from datasets import VGGFace2, CelebA, NDG
from model.common import models_landmarks
from utils.landmarks_augmentation ... | 0.638046 | 0.547404 |
from argparse import ArgumentParser
from sqrt import my_sqrt
DOT = "."
NUMBERS = "0123456789"
SIGNS = "+-"
MULTI = '*'
POWER = '^'
VARIABLE = 'xX'
def convert_sign_list(signs:list):
new_signs = []
for letter in signs:
if letter in SIGNS:
new_signs.append('-' if letter == '+' else '+')
... | main.py | from argparse import ArgumentParser
from sqrt import my_sqrt
DOT = "."
NUMBERS = "0123456789"
SIGNS = "+-"
MULTI = '*'
POWER = '^'
VARIABLE = 'xX'
def convert_sign_list(signs:list):
new_signs = []
for letter in signs:
if letter in SIGNS:
new_signs.append('-' if letter == '+' else '+')
... | 0.332202 | 0.247362 |
from __future__ import absolute_import
import os
import os.path as osp
from torch.utils.data import DataLoader, Dataset
import numpy as np
import random
import math
from PIL import Image
class Preprocessor(Dataset):
def __init__(self, dataset, root=None, transform=None, mutual=False, index=False, multi_transform=1... | abmt/utils/data/preprocessor.py | from __future__ import absolute_import
import os
import os.path as osp
from torch.utils.data import DataLoader, Dataset
import numpy as np
import random
import math
from PIL import Image
class Preprocessor(Dataset):
def __init__(self, dataset, root=None, transform=None, mutual=False, index=False, multi_transform=1... | 0.612657 | 0.168173 |
from flask import Blueprint, render_template, send_file, redirect
import os
import json
import requests
from flask_login import current_user, login_required, login_user, logout_user
from pqbl.models import ListItem, User
from pqbl.forms import LoginForm
routes = Blueprint( 'routes', __name__ )
@routes.route('/')
de... | pqbl/routes.py | from flask import Blueprint, render_template, send_file, redirect
import os
import json
import requests
from flask_login import current_user, login_required, login_user, logout_user
from pqbl.models import ListItem, User
from pqbl.forms import LoginForm
routes = Blueprint( 'routes', __name__ )
@routes.route('/')
de... | 0.202207 | 0.044142 |
import glob
import math
import os
import pickle as pkl
import random
import shutil
import datetime
from collections import deque
from hashlib import sha1
from os.path import join, isfile
import cv2
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
import networkx as nx
from algorithms.u... | algorithms/topological_maps/topological_map.py | import glob
import math
import os
import pickle as pkl
import random
import shutil
import datetime
from collections import deque
from hashlib import sha1
from os.path import join, isfile
import cv2
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
import networkx as nx
from algorithms.u... | 0.766119 | 0.281813 |
from direct.interval.IntervalGlobal import *
from pandac.PandaModules import *
from toontown.toon.DistributedNPCToonBase import *
from toontown.chat.ChatGlobals import *
from toontown.hood import ZoneUtil
from toontown.nametag.NametagGlobals import *
from toontown.quest import QuestChoiceGui
from toontown.quest import ... | toontown/toon/DistributedNPCSpecialQuestGiver.py | from direct.interval.IntervalGlobal import *
from pandac.PandaModules import *
from toontown.toon.DistributedNPCToonBase import *
from toontown.chat.ChatGlobals import *
from toontown.hood import ZoneUtil
from toontown.nametag.NametagGlobals import *
from toontown.quest import QuestChoiceGui
from toontown.quest import ... | 0.483892 | 0.087408 |
import logging
from multiprocessing import Pool, cpu_count
import re
from pathlib import Path
from typing import List, Tuple
import pandas as pd
from tqdm import tqdm
from app.osm.pbf.blob_meta import BlobMeta
from app.osm.pbf.pbf_file import PbfFile
from app.osm.pbf.pbf_primitive_block import PbfPrimitiveBlock
from ... | app/osm/pbf_parser.py | import logging
from multiprocessing import Pool, cpu_count
import re
from pathlib import Path
from typing import List, Tuple
import pandas as pd
from tqdm import tqdm
from app.osm.pbf.blob_meta import BlobMeta
from app.osm.pbf.pbf_file import PbfFile
from app.osm.pbf.pbf_primitive_block import PbfPrimitiveBlock
from ... | 0.614163 | 0.11422 |
import json
from tornado import gen
from .base import *
from libs import utils
import traceback
class TPLPushHandler(BaseHandler):
@tornado.web.authenticated
def get(self, tplid):
user = self.current_user
tpl = self.db.tpl.get(tplid, fields=('id', 'userid', 'sitename'))
if not self.per... | web/handlers/tpl.py |
import json
from tornado import gen
from .base import *
from libs import utils
import traceback
class TPLPushHandler(BaseHandler):
@tornado.web.authenticated
def get(self, tplid):
user = self.current_user
tpl = self.db.tpl.get(tplid, fields=('id', 'userid', 'sitename'))
if not self.per... | 0.161056 | 0.111919 |
from sqlalchemy import and_
from api.opds import LibraryAnnotator
from core.opds import VerboseAnnotator
from core.lane import Facets, Pagination
from core.model import (
DataSource,
LicensePool,
Measurement,
Session,
)
from core.model.configuration import ExternalIntegrationLink
from core.opds import A... | api/admin/opds.py | from sqlalchemy import and_
from api.opds import LibraryAnnotator
from core.opds import VerboseAnnotator
from core.lane import Facets, Pagination
from core.model import (
DataSource,
LicensePool,
Measurement,
Session,
)
from core.model.configuration import ExternalIntegrationLink
from core.opds import A... | 0.619817 | 0.18407 |
__authors__ = ["<NAME> - ESRF ISDD Advanced Analysis and Modelling"]
__license__ = "MIT"
__date__ = "20/04/2017"
import numpy as np
class DistributionPlan(object):
def __init__(self, communicator, n_columns, n_rows, strategy="rowblocks"):
self._communicator = communicator
self._n_rows = n_rows
... | comsyl/parallel/DistributionPlan.py | __authors__ = ["<NAME> - ESRF ISDD Advanced Analysis and Modelling"]
__license__ = "MIT"
__date__ = "20/04/2017"
import numpy as np
class DistributionPlan(object):
def __init__(self, communicator, n_columns, n_rows, strategy="rowblocks"):
self._communicator = communicator
self._n_rows = n_rows
... | 0.374219 | 0.250357 |
import sys
import threading
from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from SocketServer import ThreadingMixIn
from cgi import urlparse
#enable threaded server
class ThreadedHTTPServer(ThreadingMixIn, HTTPServer):
pass
#custom handler for getting routes
class PrimeHandler(BaseHTTPRequestHandler)... | py/prime_serverd.py |
import sys
import threading
from BaseHTTPServer import HTTPServer, BaseHTTPRequestHandler
from SocketServer import ThreadingMixIn
from cgi import urlparse
#enable threaded server
class ThreadedHTTPServer(ThreadingMixIn, HTTPServer):
pass
#custom handler for getting routes
class PrimeHandler(BaseHTTPRequestHandler)... | 0.344113 | 0.106737 |
import pyprind
from datetime import datetime
from django.utils.translation import ugettext as _
from arches.app.models import models
from arches.app.models.resource import Resource
from arches.app.models.system_settings import settings
from arches.app.utils import import_class_from_string
from arches.app.search.search_... | mapss/static/packages/arches/arches/app/search/base_index.py | import pyprind
from datetime import datetime
from django.utils.translation import ugettext as _
from arches.app.models import models
from arches.app.models.resource import Resource
from arches.app.models.system_settings import settings
from arches.app.utils import import_class_from_string
from arches.app.search.search_... | 0.659076 | 0.201244 |
import tensorflow as tf
def mlp(hidden_sizes, activation, trainable=True, name=None):
"""Creates MLP with the specified parameters."""
return tf.keras.Sequential([
tf.keras.layers.Dense(size, activation=activation, trainable=trainable)
for size in hidden_sizes
], name)
class MLPActorCri... | spinup_bis/algos/tf2/ed2/core.py |
import tensorflow as tf
def mlp(hidden_sizes, activation, trainable=True, name=None):
"""Creates MLP with the specified parameters."""
return tf.keras.Sequential([
tf.keras.layers.Dense(size, activation=activation, trainable=trainable)
for size in hidden_sizes
], name)
class MLPActorCri... | 0.965103 | 0.630685 |
from abc import abstractmethod
from tethys_quotas.utilities import get_resource_available
class ResourceQuotaHandler(object):
"""
Defines one or more ResourceQuotas. Also houses logic to check quota.
Attributes:
codename(str): unique codename for quota, used to look up specific quotas easily (e.g... | tethys_quotas/handlers/base.py | from abc import abstractmethod
from tethys_quotas.utilities import get_resource_available
class ResourceQuotaHandler(object):
"""
Defines one or more ResourceQuotas. Also houses logic to check quota.
Attributes:
codename(str): unique codename for quota, used to look up specific quotas easily (e.g... | 0.79049 | 0.374076 |
import pickle
import matplotlib.pyplot as plt
import neuron as nrn
import os
import subprocess
import shutil
import time
from NeuroGPUFromPkl import run_params_with_pkl
from deap import base, creator, tools, algorithms
import numpy as np
import struct
import bluepyopt as bpop
from efel_ext import eval
feature_list = ... | NeuroGPU_Base/scripts/template/loadBestIndvs.py | import pickle
import matplotlib.pyplot as plt
import neuron as nrn
import os
import subprocess
import shutil
import time
from NeuroGPUFromPkl import run_params_with_pkl
from deap import base, creator, tools, algorithms
import numpy as np
import struct
import bluepyopt as bpop
from efel_ext import eval
feature_list = ... | 0.077117 | 0.205555 |
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class AssistantTestCase(IntegrationTestCase):
... | tests/integration/autopilot/v1/test_assistant.py | r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class AssistantTestCase(IntegrationTestCase):
... | 0.524882 | 0.433802 |
from django.conf import settings
from django.test.signals import setting_changed
DEFAULTS = {
"API_KEY": "",
"DATABASES": {},
"ENDPOINT_URL": "https://api.airtable.com/v0/",
"DATA_DIRECTORY": "airtable-data",
"FILES_DIRECTORY": "airtable-files",
"SAVE_FILES": True,
}
class AirtableSettings(ob... | aa_airtable/settings.py | from django.conf import settings
from django.test.signals import setting_changed
DEFAULTS = {
"API_KEY": "",
"DATABASES": {},
"ENDPOINT_URL": "https://api.airtable.com/v0/",
"DATA_DIRECTORY": "airtable-data",
"FILES_DIRECTORY": "airtable-files",
"SAVE_FILES": True,
}
class AirtableSettings(ob... | 0.585338 | 0.143818 |
import paddle
import paddle.nn as nn
__all__ = ['LinearBlock', 'MLP']
class LinearBlock(nn.Layer):
"""
Implementation of a linear block: linear-BatchNorm-ReLU
Args:
input_size(int): size of the input
output_size(int): size of the output
Examples:
..code-block:: python
... | PaddleFSL/paddlefsl/backbones/mlp.py | import paddle
import paddle.nn as nn
__all__ = ['LinearBlock', 'MLP']
class LinearBlock(nn.Layer):
"""
Implementation of a linear block: linear-BatchNorm-ReLU
Args:
input_size(int): size of the input
output_size(int): size of the output
Examples:
..code-block:: python
... | 0.928263 | 0.53607 |
import colorsys
import re
from enum import Enum
from typing import Tuple
import attr
__all__ = [
"Color",
"BrandColors",
"MaterialColors",
"FlatUIColors",
"Colour",
"BrandColours",
"MaterialColours",
"FlatUIColours",
]
@attr.s(init=False, slots=True)
class Color:
hex_regex = re.c... | dis_snek/models/discord/color.py | import colorsys
import re
from enum import Enum
from typing import Tuple
import attr
__all__ = [
"Color",
"BrandColors",
"MaterialColors",
"FlatUIColors",
"Colour",
"BrandColours",
"MaterialColours",
"FlatUIColours",
]
@attr.s(init=False, slots=True)
class Color:
hex_regex = re.c... | 0.66072 | 0.222025 |
from connector import channel
from google3.cloud.graphite.mmv2.services.google.org_policy import policy_pb2
from google3.cloud.graphite.mmv2.services.google.org_policy import policy_pb2_grpc
from typing import List
class Policy(object):
def __init__(
self,
name: str = None,
spec: dict = N... | python/services/orgpolicy/policy.py | from connector import channel
from google3.cloud.graphite.mmv2.services.google.org_policy import policy_pb2
from google3.cloud.graphite.mmv2.services.google.org_policy import policy_pb2_grpc
from typing import List
class Policy(object):
def __init__(
self,
name: str = None,
spec: dict = N... | 0.574992 | 0.202325 |
from rest_framework import status
from rest_framework.reverse import reverse
from tests.test_resource_tracker.test_api.base_test_api import BaseTestAPI
class TestResourcePoolAttributeDefinitionUpdate(BaseTestAPI):
def setUp(self):
super(TestResourcePoolAttributeDefinitionUpdate, self).setUp()
se... | tests/test_resource_tracker/test_api/test_resource_pool_api_views/test_rp_attribute_definition_api_views/test_update.py | from rest_framework import status
from rest_framework.reverse import reverse
from tests.test_resource_tracker.test_api.base_test_api import BaseTestAPI
class TestResourcePoolAttributeDefinitionUpdate(BaseTestAPI):
def setUp(self):
super(TestResourcePoolAttributeDefinitionUpdate, self).setUp()
se... | 0.42931 | 0.179171 |
from .. import Provider as AddressProvider
class Provider(AddressProvider):
city_formats = ('{{first_name}}',)
city_prefixes = ('ք.',)
city_suffixes = ('',)
street_prefixes = ('փողոց', 'պողոտա')
street_suffixes = ('',)
village_prefixes = ('գ.',)
address_formats = (
'{{city_prefix... | faker/providers/address/hy_AM/__init__.py | from .. import Provider as AddressProvider
class Provider(AddressProvider):
city_formats = ('{{first_name}}',)
city_prefixes = ('ք.',)
city_suffixes = ('',)
street_prefixes = ('փողոց', 'պողոտա')
street_suffixes = ('',)
village_prefixes = ('գ.',)
address_formats = (
'{{city_prefix... | 0.424531 | 0.061791 |
from sqlalchemy import func, and_
from indexd.errors import UserError
from indexd.index.drivers.alchemy import IndexRecord, IndexRecordUrl, IndexRecordUrlMetadata
from indexd.index.drivers.query import URLsQueryDriver
driver_query_map = {
"sqlite": dict(array_agg=func.group_concat, string_agg=func.group_concat),... | indexd/index/drivers/query/urls.py | from sqlalchemy import func, and_
from indexd.errors import UserError
from indexd.index.drivers.alchemy import IndexRecord, IndexRecordUrl, IndexRecordUrlMetadata
from indexd.index.drivers.query import URLsQueryDriver
driver_query_map = {
"sqlite": dict(array_agg=func.group_concat, string_agg=func.group_concat),... | 0.689306 | 0.356643 |
from src.bot.consts.thresholds import OutputThresholds
from src.bot.util import build_checker
from src.models import Skill
def calc_max(comparison_dps: []):
"""
Get the max value out of all values in the list when they are set.
:param comparison_dps:
:return:
"""
max = 0
for dps in compari... | src/bot/output/offense_output.py | from src.bot.consts.thresholds import OutputThresholds
from src.bot.util import build_checker
from src.models import Skill
def calc_max(comparison_dps: []):
"""
Get the max value out of all values in the list when they are set.
:param comparison_dps:
:return:
"""
max = 0
for dps in compari... | 0.764804 | 0.41484 |
import codecs
import json
import mock
import os
import shutil
import tempfile
import unittest
from telemetry import story
from telemetry import page as page_module
from telemetry.value import trace
from tracing_build import html2trace
from tracing.trace_data import trace_data
class TestBase(unittest.TestCase):
d... | third_party/catapult/telemetry/telemetry/value/trace_unittest.py |
import codecs
import json
import mock
import os
import shutil
import tempfile
import unittest
from telemetry import story
from telemetry import page as page_module
from telemetry.value import trace
from tracing_build import html2trace
from tracing.trace_data import trace_data
class TestBase(unittest.TestCase):
d... | 0.415136 | 0.184455 |
import itertools
from nl4dv.vlgenie import VLGenie
from nl4dv.visgenie.vis_recos import vis_design_combos
from nl4dv.utils import constants
import copy
class VisGenie:
def __init__(self, nl4dv_instance):
self.nl4dv_instance = nl4dv_instance
def extract_vis_type(self, query_ngrams):
for ngram... | nl4dv/visgenie/visgenie.py | import itertools
from nl4dv.vlgenie import VLGenie
from nl4dv.visgenie.vis_recos import vis_design_combos
from nl4dv.utils import constants
import copy
class VisGenie:
def __init__(self, nl4dv_instance):
self.nl4dv_instance = nl4dv_instance
def extract_vis_type(self, query_ngrams):
for ngram... | 0.568655 | 0.205117 |
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, bu... | Abe/readconf.py |
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful, bu... | 0.386532 | 0.087408 |
import json
def _get_possible_match(possible_matches, word, possibilities, match_type):
"""
This function will check each possibility received if start with the word.
If starts with the word so we have a real possibility, if don` start
this possibility is unconsidered.
:param poss... | src/core/semantic_score.py | import json
def _get_possible_match(possible_matches, word, possibilities, match_type):
"""
This function will check each possibility received if start with the word.
If starts with the word so we have a real possibility, if don` start
this possibility is unconsidered.
:param poss... | 0.624523 | 0.480357 |
import time
import scipy.optimize
import tensorflow as tf
from garage.tf.misc import tensor_utils
from garage.tf.optimizers.utils import LazyDict
class LbfgsOptimizer:
"""Limited-memory BFGS (L-BFGS) optimizer.
Performs unconstrained optimization via L-BFGS.
Args:
max_opt_itr (i... | src/garage/tf/optimizers/lbfgs_optimizer.py | import time
import scipy.optimize
import tensorflow as tf
from garage.tf.misc import tensor_utils
from garage.tf.optimizers.utils import LazyDict
class LbfgsOptimizer:
"""Limited-memory BFGS (L-BFGS) optimizer.
Performs unconstrained optimization via L-BFGS.
Args:
max_opt_itr (i... | 0.878874 | 0.239338 |
import os
import pickle
import sys
from argparse import Namespace
from datetime import datetime
sys.path.append(os.path.abspath('../../'))
import numpy as np
import torch
from pytorch_lightning import Trainer
from pytorch_lightning.loggers import TensorBoardLogger
from sklearn.model_selection import ParameterGrid
from... | algorithms/vae/main_vae_uncontrolled.py | import os
import pickle
import sys
from argparse import Namespace
from datetime import datetime
sys.path.append(os.path.abspath('../../'))
import numpy as np
import torch
from pytorch_lightning import Trainer
from pytorch_lightning.loggers import TensorBoardLogger
from sklearn.model_selection import ParameterGrid
from... | 0.511961 | 0.312645 |
JSON_DATA = '''{
"nhits": 380,
"parameters": {
"dataset": [
"resultats-ligue-1"
],
"timezone": "UTC",
"rows": 10,
"sort": [
"-name"
],
"format": "json",
"facet": [
"name",
"end_date",
"sta... | EvaMap/examples/data.py | JSON_DATA = '''{
"nhits": 380,
"parameters": {
"dataset": [
"resultats-ligue-1"
],
"timezone": "UTC",
"rows": 10,
"sort": [
"-name"
],
"format": "json",
"facet": [
"name",
"end_date",
"sta... | 0.286768 | 0.295997 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import app
from absl import flags
import numpy as np
import tensorflow.compat.v1 as tf
import pyspiel
FLAGS = flags.FLAGS
flags.DEFINE_string("game", "breakthrough", "Name of the game")
flags.DEFINE_... | open_spiel/contrib/python/export_graph.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl import app
from absl import flags
import numpy as np
import tensorflow.compat.v1 as tf
import pyspiel
FLAGS = flags.FLAGS
flags.DEFINE_string("game", "breakthrough", "Name of the game")
flags.DEFINE_... | 0.730194 | 0.214815 |
import os
import json
import types
import logging
import time
logger = logging.getLogger('peachy')
import re
from peachyprinter.domain.configuration_manager import ConfigurationManager
import peachyprinter.config as config
from peachyprinter.infrastructure.communicator import UsbPacketCommunicator, MissingPrinterExcep... | src/peachyprinter/infrastructure/configuration_manager.py | import os
import json
import types
import logging
import time
logger = logging.getLogger('peachy')
import re
from peachyprinter.domain.configuration_manager import ConfigurationManager
import peachyprinter.config as config
from peachyprinter.infrastructure.communicator import UsbPacketCommunicator, MissingPrinterExcep... | 0.391639 | 0.050098 |
from asyncio import Task, sleep, create_task, gather, CancelledError
from functools import wraps
from queue import Queue, Empty
from random import choice
from typing import Callable
from datek_jaipur.application.adapters.console.adapter import ConsoleGoodsType
from datek_jaipur.utils import run_in_thread_pool
class ... | tests/acceptance/application/utils.py | from asyncio import Task, sleep, create_task, gather, CancelledError
from functools import wraps
from queue import Queue, Empty
from random import choice
from typing import Callable
from datek_jaipur.application.adapters.console.adapter import ConsoleGoodsType
from datek_jaipur.utils import run_in_thread_pool
class ... | 0.707101 | 0.104981 |
import itertools
import matplotlib.pyplot as plt
import numpy as np
# Couleurs d'accompagnement de la charte graphique
rainbow_shades = ["#D22328", "#559BB4", "#91A564", "#DC9100", "#8C4B7D", "#A08C69",
"#647D6E", "#5A7382", "#64411E", "#A00037", "#643C5A"]
# Nuances de rouge
# en rgb [(105,18,20),(... | syspy/syspy_utils/syscolors.py | import itertools
import matplotlib.pyplot as plt
import numpy as np
# Couleurs d'accompagnement de la charte graphique
rainbow_shades = ["#D22328", "#559BB4", "#91A564", "#DC9100", "#8C4B7D", "#A08C69",
"#647D6E", "#5A7382", "#64411E", "#A00037", "#643C5A"]
# Nuances de rouge
# en rgb [(105,18,20),(... | 0.435661 | 0.44903 |
import copy
import datetime
import io
import os
import tempfile
import warnings
from django.core.files.storage import FileSystemStorage
from django.db import models
from django.http import HttpResponse
from django.urls import reverse
from django.utils.deconstruct import deconstructible
from django.utils.encoding impor... | django_pdf_overlay/models.py | import copy
import datetime
import io
import os
import tempfile
import warnings
from django.core.files.storage import FileSystemStorage
from django.db import models
from django.http import HttpResponse
from django.urls import reverse
from django.utils.deconstruct import deconstructible
from django.utils.encoding impor... | 0.446253 | 0.107344 |
import sys
from sympy.assumptions import Q
from sympy.core import Symbol, Function, Float, Rational, Integer, I, Mul, Pow, Eq
from sympy.functions import exp, factorial, factorial2, sin
from sympy.logic import And
from sympy.series import Limit
from sympy.testing.pytest import raises, skip
from sympy.parsing.sympy_... | sympy/parsing/tests/test_sympy_parser.py |
import sys
from sympy.assumptions import Q
from sympy.core import Symbol, Function, Float, Rational, Integer, I, Mul, Pow, Eq
from sympy.functions import exp, factorial, factorial2, sin
from sympy.logic import And
from sympy.series import Limit
from sympy.testing.pytest import raises, skip
from sympy.parsing.sympy_... | 0.409457 | 0.550426 |
import numpy as np
from scipy.sparse import data
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, mean_squared_error
import pandas as pd
from sklearn.linear_model import LinearRegression
from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
# NOTE: this mo... | jupyter_ML_test/ml_model.py | import numpy as np
from scipy.sparse import data
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, mean_squared_error
import pandas as pd
from sklearn.linear_model import LinearRegression
from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
# NOTE: this mo... | 0.656548 | 0.623979 |
import datetime
import hashlib
import json
import os
import random
from urllib2 import HTTPError
import requests
from django.core.mail import EmailMultiAlternatives
from django.db import IntegrityError
from django.http import JsonResponse
from django.template import Context
from django.template.loader import get_templ... | django/users/views.py | import datetime
import hashlib
import json
import os
import random
from urllib2 import HTTPError
import requests
from django.core.mail import EmailMultiAlternatives
from django.db import IntegrityError
from django.http import JsonResponse
from django.template import Context
from django.template.loader import get_templ... | 0.419291 | 0.063482 |
from tkinter import *
from control import *
import pandas as pd
import numpy as np
from tkinter import messagebox
from Model import *
def show_result():
BENE_SEX_IDENT_CD_1, BENE_SEX_IDENT_CD_2 = set_gender(gender.get())
BENE_RACE_CD_1,BENE_RACE_CD_2,BENE_RACE_CD_3,BENE_RACE_CD_5 = set_race(race.get())
BENE_ESRD_IN... | gui_fc.py | from tkinter import *
from control import *
import pandas as pd
import numpy as np
from tkinter import messagebox
from Model import *
def show_result():
BENE_SEX_IDENT_CD_1, BENE_SEX_IDENT_CD_2 = set_gender(gender.get())
BENE_RACE_CD_1,BENE_RACE_CD_2,BENE_RACE_CD_3,BENE_RACE_CD_5 = set_race(race.get())
BENE_ESRD_IN... | 0.168651 | 0.149811 |
import os
import re
import time
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import assert_eq_with_retry, TSV
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=["configs/config.d/remote_servers.xml"],
user_configs=... | tests/integration/test_row_policy/test.py | import os
import re
import time
import pytest
from helpers.cluster import ClickHouseCluster
from helpers.test_tools import assert_eq_with_retry, TSV
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=["configs/config.d/remote_servers.xml"],
user_configs=... | 0.344113 | 0.310315 |
import os
import glob
import sys
import argparse
import cv2
from tqdm import tqdm
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torchvision
from torchvision import transforms as pth_transforms
import numpy as np
from PIL import Image
import utils
import vision_transformer as vits
FOURCC ... | video_generation.py | import os
import glob
import sys
import argparse
import cv2
from tqdm import tqdm
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torchvision
from torchvision import transforms as pth_transforms
import numpy as np
from PIL import Image
import utils
import vision_transformer as vits
FOURCC ... | 0.442877 | 0.199503 |
import bcrypt
from flask import Blueprint, render_template, redirect, request, flash
from flask.helpers import url_for
from flask_login import current_user, LoginManager, login_user, logout_user
from flask_login.utils import login_required
from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms.fie... | app/views/accounts.py | import bcrypt
from flask import Blueprint, render_template, redirect, request, flash
from flask.helpers import url_for
from flask_login import current_user, LoginManager, login_user, logout_user
from flask_login.utils import login_required
from flask_wtf import FlaskForm
from wtforms import StringField
from wtforms.fie... | 0.513181 | 0.118462 |
from datetime import date, timedelta, datetime, timezone
# __pragma__('opov')
def fix_time (dt):
if dt.hour > 23:
dt = dt - timedelta (minutes=60)
if dt.minute > 50:
dt = dt - timedelta (minutes=10)
return dt
def run (autoTester):
# timezone
tz = timezone.utc
autoTester.check... | transcrypt/development/automated_tests/transcrypt/module_datetime/__init__.py | from datetime import date, timedelta, datetime, timezone
# __pragma__('opov')
def fix_time (dt):
if dt.hour > 23:
dt = dt - timedelta (minutes=60)
if dt.minute > 50:
dt = dt - timedelta (minutes=10)
return dt
def run (autoTester):
# timezone
tz = timezone.utc
autoTester.check... | 0.506347 | 0.524212 |
from .context import lux
import pytest
import pandas as pd
import numpy as np
from typing import List
from dataclasses import dataclass
# Suite of test that checks if data_type inferred correctly by Lux
def test_check_cars():
df = pd.read_csv("lux/data/car.csv")
df["Year"] = pd.to_datetime(df["Year"], format='%Y')
... | tests/test_type.py | from .context import lux
import pytest
import pandas as pd
import numpy as np
from typing import List
from dataclasses import dataclass
# Suite of test that checks if data_type inferred correctly by Lux
def test_check_cars():
df = pd.read_csv("lux/data/car.csv")
df["Year"] = pd.to_datetime(df["Year"], format='%Y')
... | 0.725551 | 0.349866 |
import os.path
from anchorhub.fileparse import get_file_list
from anchorhub.util.getanchorhubpath import get_anchorhub_path
from anchorhub.compatibility import get_path_separator
sep = get_path_separator()
class FileObj(object):
"""
Helper class for testing out fileparse.get_file_list
"""
def __init_... | anchorhub/tests/test_fileparse.py | import os.path
from anchorhub.fileparse import get_file_list
from anchorhub.util.getanchorhubpath import get_anchorhub_path
from anchorhub.compatibility import get_path_separator
sep = get_path_separator()
class FileObj(object):
"""
Helper class for testing out fileparse.get_file_list
"""
def __init_... | 0.463201 | 0.244225 |
import psycopg2
import os
class CatalogClient(object):
def __init__(self, catalog_cred, database=None):
"""
Establishes connection to Catalog database
:param database: database name. If None, connects to default.
:param user: username
:param password: password
:pa... | admin_ui/CatalogRegistry.py | import psycopg2
import os
class CatalogClient(object):
def __init__(self, catalog_cred, database=None):
"""
Establishes connection to Catalog database
:param database: database name. If None, connects to default.
:param user: username
:param password: password
:pa... | 0.452052 | 0.220196 |
import re
import logging
import math
import sys
# By default the root logger is set to WARNING and all loggers you define
# inherit that value. Here we set the root logger to NOTSET. This logging
# level is automatically inherited by all existing and new sub-loggers
# that do not set a less verbose level.
logging.basi... | day06/python/jktubs/utils/helper.py | import re
import logging
import math
import sys
# By default the root logger is set to WARNING and all loggers you define
# inherit that value. Here we set the root logger to NOTSET. This logging
# level is automatically inherited by all existing and new sub-loggers
# that do not set a less verbose level.
logging.basi... | 0.198452 | 0.077413 |
import os.path as op
import re
import unittest
import pandas as pd
from tornado.template import Template
from nlg import search, utils
nlp = utils.load_spacy_model()
matcher = utils.make_np_matcher(nlp)
class TestDFSearch(unittest.TestCase):
@classmethod
def setUpClass(cls):
fpath = op.join(op.dir... | nlg/tests/test_search.py | import os.path as op
import re
import unittest
import pandas as pd
from tornado.template import Template
from nlg import search, utils
nlp = utils.load_spacy_model()
matcher = utils.make_np_matcher(nlp)
class TestDFSearch(unittest.TestCase):
@classmethod
def setUpClass(cls):
fpath = op.join(op.dir... | 0.469763 | 0.50592 |
import os
import shlex
# pylint: disable=preferred-module # FIXME: remove once migrated per GH-872
from unittest import mock
from unittest.mock import patch
import pytest
from ansible_navigator.configuration_subsystem.definitions import Constants as C
from ansible_navigator.configuration_subsystem.navigator_configu... | tests/unit/configuration_subsystem/test_precedence.py | import os
import shlex
# pylint: disable=preferred-module # FIXME: remove once migrated per GH-872
from unittest import mock
from unittest.mock import patch
import pytest
from ansible_navigator.configuration_subsystem.definitions import Constants as C
from ansible_navigator.configuration_subsystem.navigator_configu... | 0.404978 | 0.3031 |
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
from typing import Any, Callable, List
import torch
from classy_vision.hooks import ClassyHook
from vissl.config import AttrDict
from vissl.engines.engine_registry impo... | vissl/engines/extract_features.py |
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
from typing import Any, Callable, List
import torch
from classy_vision.hooks import ClassyHook
from vissl.config import AttrDict
from vissl.engines.engine_registry impo... | 0.791257 | 0.1941 |
import sys
import asyncio as aio
from contextlib import asynccontextmanager
from datetime import datetime
from pathlib import Path
from time import sleep
# module
import avwx
GOOD_PATH = Path("data", "good_stations.txt")
BAD_PATH = Path("data", "bad_stations.txt")
def load_stations(path: Path) -> [str]:
return ... | util/find_bad_stations.py | import sys
import asyncio as aio
from contextlib import asynccontextmanager
from datetime import datetime
from pathlib import Path
from time import sleep
# module
import avwx
GOOD_PATH = Path("data", "good_stations.txt")
BAD_PATH = Path("data", "bad_stations.txt")
def load_stations(path: Path) -> [str]:
return ... | 0.178884 | 0.19216 |
import asyncio
from typing import Optional, List, Union
import aiohttp
class AshFramework:
"""轻量化的协程控件"""
def __init__(self, docker: Optional[List] = None):
# 任务容器：queue
self.worker, self.done = asyncio.Queue(), asyncio.Queue()
# 任务容器
self.docker = docker
# 任务队列满载时刻长度... | src/services/utils/accelerator/core.py | import asyncio
from typing import Optional, List, Union
import aiohttp
class AshFramework:
"""轻量化的协程控件"""
def __init__(self, docker: Optional[List] = None):
# 任务容器：queue
self.worker, self.done = asyncio.Queue(), asyncio.Queue()
# 任务容器
self.docker = docker
# 任务队列满载时刻长度... | 0.636579 | 0.18543 |
from flask_wtf import FlaskForm
from flask_login import current_user
from wtforms import StringField, PasswordField, SubmitField, BooleanField, TextAreaField, FieldList
from wtforms.validators import DataRequired, InputRequired, Length, Email, EqualTo, ValidationError
from flaskapp.models import Users
class LoginForm(... | flaskapp/forms.py | from flask_wtf import FlaskForm
from flask_login import current_user
from wtforms import StringField, PasswordField, SubmitField, BooleanField, TextAreaField, FieldList
from wtforms.validators import DataRequired, InputRequired, Length, Email, EqualTo, ValidationError
from flaskapp.models import Users
class LoginForm(... | 0.421433 | 0.121686 |
# =============================================================================
# IMPORTS
# =============================================================================
import torch
from pinot.samplers.base_sampler import BaseSampler
# =============================================================================
# M... | pinot/samplers/bbb.py | # =============================================================================
# IMPORTS
# =============================================================================
import torch
from pinot.samplers.base_sampler import BaseSampler
# =============================================================================
# M... | 0.803829 | 0.549278 |
from torch import nn
import argparse
from typing import Optional, Tuple
from utils.math_utils import make_divisible, bound_fn
from . import BaseEncoder, register_cls_models
from .config.mobilenetv3 import get_configuration
from ...layers import ConvLayer, LinearLayer, GlobalPool, get_activation_fn, Dropout
from ...m... | cvnets/models/classification/mobilenetv3.py |
from torch import nn
import argparse
from typing import Optional, Tuple
from utils.math_utils import make_divisible, bound_fn
from . import BaseEncoder, register_cls_models
from .config.mobilenetv3 import get_configuration
from ...layers import ConvLayer, LinearLayer, GlobalPool, get_activation_fn, Dropout
from ...m... | 0.944931 | 0.156041 |
import sys
import math
class Point:
def __init__(self, panel, location, wire, x, y):
self.panel = panel
self.location = location
self.wire = wire
self.x = x
self.y = y
def distance_from_center(self):
self.distance_from_center = math.fabs(self.x) + math.fabs(s... | 2019/3/3-1.py |
import sys
import math
class Point:
def __init__(self, panel, location, wire, x, y):
self.panel = panel
self.location = location
self.wire = wire
self.x = x
self.y = y
def distance_from_center(self):
self.distance_from_center = math.fabs(self.x) + math.fabs(s... | 0.58261 | 0.428712 |
from pymongo import MongoClient
import re
from bson import ObjectId
import json
from app_fb.models.user import MongoUserDao
mongo_user_dao = MongoUserDao()
class Post:
def __init__(self, user, post_type, post_content, updated_time, post_size, likes, comments):
self.user = user
self.post_type = pos... | app_fb/models/post.py | from pymongo import MongoClient
import re
from bson import ObjectId
import json
from app_fb.models.user import MongoUserDao
mongo_user_dao = MongoUserDao()
class Post:
def __init__(self, user, post_type, post_content, updated_time, post_size, likes, comments):
self.user = user
self.post_type = pos... | 0.262653 | 0.06727 |
import copy
import pathlib
import pickle
import time
from functools import partial, reduce
import numpy as np
from det3d.core.bbox import box_np_ops
from det3d.core.sampler import preprocess as prep
from det3d.utils.check import shape_mergeable
class DataBaseSamplerV2:
def __init__(
self,
db_info... | det3d/core/sampler/sample_ops.py | import copy
import pathlib
import pickle
import time
from functools import partial, reduce
import numpy as np
from det3d.core.bbox import box_np_ops
from det3d.core.sampler import preprocess as prep
from det3d.utils.check import shape_mergeable
class DataBaseSamplerV2:
def __init__(
self,
db_info... | 0.256739 | 0.141994 |
import argparse
import matplotlib.pyplot as plt
import re
def find_float(line):
"""Find and return last floating in line
Arguments:
line {string} -- line of text
Returns:
float -- last floating number in line
"""
return float(re.findall(r"[-+]?\d*\.\d+|\d+", line)[-1])
def chu... | plot_logs.py | import argparse
import matplotlib.pyplot as plt
import re
def find_float(line):
"""Find and return last floating in line
Arguments:
line {string} -- line of text
Returns:
float -- last floating number in line
"""
return float(re.findall(r"[-+]?\d*\.\d+|\d+", line)[-1])
def chu... | 0.793906 | 0.507019 |
import unittest2
import webapp2
import webtest
from google.appengine.datastore import datastore_stub_util
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from webapp2_extras.routes import RedirectRoute
from consts.account_permissions import AccountPermissions
from consts.media_type import... | tests/suggestions/test_suggest_team_media_review_controller.py | import unittest2
import webapp2
import webtest
from google.appengine.datastore import datastore_stub_util
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from webapp2_extras.routes import RedirectRoute
from consts.account_permissions import AccountPermissions
from consts.media_type import... | 0.335895 | 0.2824 |
import argparse
import pandas as pd
def run(args):
# parse input
df = pd.read_csv(args.input_file, sep="\t")
df ["Refseq IDs"] = df["Unnamed: 0"]
df = df.set_index('Unnamed: 0')
df.index = df.index.values.astype('string')
# create dictionary mapping refseq to species IDs
ref2sp = create_ref... | traitarm/learning/sum_up_species.py | import argparse
import pandas as pd
def run(args):
# parse input
df = pd.read_csv(args.input_file, sep="\t")
df ["Refseq IDs"] = df["Unnamed: 0"]
df = df.set_index('Unnamed: 0')
df.index = df.index.values.astype('string')
# create dictionary mapping refseq to species IDs
ref2sp = create_ref... | 0.231527 | 0.362659 |
from functools import partial
from rest_framework import fields, serializers
from mkt.access import acl
from mkt.api.serializers import PotatoCaptchaSerializer
from mkt.users.models import UserProfile
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = UserProfile
fields = ... | mkt/account/serializers.py | from functools import partial
from rest_framework import fields, serializers
from mkt.access import acl
from mkt.api.serializers import PotatoCaptchaSerializer
from mkt.users.models import UserProfile
class AccountSerializer(serializers.ModelSerializer):
class Meta:
model = UserProfile
fields = ... | 0.797675 | 0.162446 |
import sys
import os
import dlib
from PIL import Image, ImageDraw
DETECTOR = dlib.get_frontal_face_detector()
def create_meds(img):
"""
Real face processing, we get clipped face area
and save as medalion.
Argument: Image object
Output: save medalions as JPEG files
"""
print("Processing fi... | medaliony1.py | import sys
import os
import dlib
from PIL import Image, ImageDraw
DETECTOR = dlib.get_frontal_face_detector()
def create_meds(img):
"""
Real face processing, we get clipped face area
and save as medalion.
Argument: Image object
Output: save medalions as JPEG files
"""
print("Processing fi... | 0.480479 | 0.427636 |
#pylint: disable=bare-except
from __future__ import absolute_import, division, print_function, unicode_literals
from PyQt5 import QtWidgets
from matplotlib.lines import Line2D
from matplotlib.patches import Ellipse
from .configuration import Configuration
from reflectivity_ui.interfaces.generated.ui_smooth_dialog imp... | reflectivity_ui/interfaces/smooth_dialog.py | #pylint: disable=bare-except
from __future__ import absolute_import, division, print_function, unicode_literals
from PyQt5 import QtWidgets
from matplotlib.lines import Line2D
from matplotlib.patches import Ellipse
from .configuration import Configuration
from reflectivity_ui.interfaces.generated.ui_smooth_dialog imp... | 0.561455 | 0.268256 |
"""This module contains methods to make POST and GET requests"""
try:
import ujson as json
except ImportError:
import json
import os
import socket
import logging
import certifi
import urllib3
from urllib3.connection import HTTPConnection
from telegram import (InputFile, TelegramError)
from telegram.error imp... | venv/lib/python3.5/site-packages/telegram/utils/request.py | """This module contains methods to make POST and GET requests"""
try:
import ujson as json
except ImportError:
import json
import os
import socket
import logging
import certifi
import urllib3
from urllib3.connection import HTTPConnection
from telegram import (InputFile, TelegramError)
from telegram.error imp... | 0.575111 | 0.141815 |
"""Test code for vision package"""
from __future__ import print_function
import math
import numpy as np
import tvm
from tvm import te
import topi
import topi.testing
from tvm.contrib.pickle_memoize import memoize
from topi.util import get_const_tuple
from topi.vision import ssd, non_max_suppression, get_valid_counts
... | topi/tests/python/test_topi_vision.py | """Test code for vision package"""
from __future__ import print_function
import math
import numpy as np
import tvm
from tvm import te
import topi
import topi.testing
from tvm.contrib.pickle_memoize import memoize
from topi.util import get_const_tuple
from topi.vision import ssd, non_max_suppression, get_valid_counts
... | 0.559049 | 0.283971 |
import pytest
import numpy as np
import mxnet as mx
from mxnet.gluon import HybridBlock
@mx.util.use_np
def test_getitem_hybridized():
class picking_np(HybridBlock):
def __init__(self, **kwargs):
super(picking_np, self).__init__(**kwargs)
def forward(self, sequence, pick_ids):
... | tests/python/unittest/test_gluon_indexing.py |
import pytest
import numpy as np
import mxnet as mx
from mxnet.gluon import HybridBlock
@mx.util.use_np
def test_getitem_hybridized():
class picking_np(HybridBlock):
def __init__(self, **kwargs):
super(picking_np, self).__init__(**kwargs)
def forward(self, sequence, pick_ids):
... | 0.777807 | 0.435121 |
__author__ = '<EMAIL> (<NAME>)'
try:
import unittest2 as unittest #PY26
except ImportError:
import unittest
from getuipy.google.protobuf import unittest_pb2
from getuipy.google.protobuf import service_reflection
from getuipy.google.protobuf import service
class FooUnitTest(unittest.TestCase):
def testServi... | getuipy/google/protobuf/internal/service_reflection_test.py | __author__ = '<EMAIL> (<NAME>)'
try:
import unittest2 as unittest #PY26
except ImportError:
import unittest
from getuipy.google.protobuf import unittest_pb2
from getuipy.google.protobuf import service_reflection
from getuipy.google.protobuf import service
class FooUnitTest(unittest.TestCase):
def testServi... | 0.526099 | 0.33887 |
import pandas as pd
from torch.utils.data import Dataset, DataLoader
from sklearn.preprocessing import LabelEncoder
import Dataset
import text_normalization
from pickle import dump, load
from sklearn.model_selection import train_test_split
def loadTrainValData(batchsize=16, num_worker=2, pretraine_path="bert-base-unca... | preprocessing.py | import pandas as pd
from torch.utils.data import Dataset, DataLoader
from sklearn.preprocessing import LabelEncoder
import Dataset
import text_normalization
from pickle import dump, load
from sklearn.model_selection import train_test_split
def loadTrainValData(batchsize=16, num_worker=2, pretraine_path="bert-base-unca... | 0.669853 | 0.456531 |
from __future__ import division
import models
import data
import theano
import sys
import codecs
import theano.tensor as T
import numpy as np
MAX_SUBSEQUENCE_LEN = 200
def to_array(arr, dtype=np.int32):
# minibatch of 1 sequence as column
return np.array([arr], dtype=dtype).T
def convert_punctuation_to_re... | s5/punctuator/punctuator.py | from __future__ import division
import models
import data
import theano
import sys
import codecs
import theano.tensor as T
import numpy as np
MAX_SUBSEQUENCE_LEN = 200
def to_array(arr, dtype=np.int32):
# minibatch of 1 sequence as column
return np.array([arr], dtype=dtype).T
def convert_punctuation_to_re... | 0.340156 | 0.275596 |
import argparse, asyncio, json, os, cv2, platform, sys
from time import sleep
from aiohttp import web
from av import VideoFrame
from aiortc import RTCPeerConnection, RTCSessionDescription, VideoStreamTrack, RTCIceServer, RTCConfiguration
from aiortc.contrib.media import MediaPlayer
from aiohttp_basicauth import BasicA... | edge-logic/app/app.py | import argparse, asyncio, json, os, cv2, platform, sys
from time import sleep
from aiohttp import web
from av import VideoFrame
from aiortc import RTCPeerConnection, RTCSessionDescription, VideoStreamTrack, RTCIceServer, RTCConfiguration
from aiortc.contrib.media import MediaPlayer
from aiohttp_basicauth import BasicA... | 0.260107 | 0.055362 |
import time
from hachoir.parser import createParser
from hachoir.metadata import extractMetadata
from helpers.tools import clean_up
from helpers.progress import progress_func
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
async def upload_audio(client, message, file_loc):
... | helpers/upload.py |
import time
from hachoir.parser import createParser
from hachoir.metadata import extractMetadata
from helpers.tools import clean_up
from helpers.progress import progress_func
from pyrogram.types import InlineKeyboardMarkup, InlineKeyboardButton
async def upload_audio(client, message, file_loc):
... | 0.319227 | 0.076442 |
import numpy as np
import weakref
from collections import defaultdict
from similarity import computeDistance
from time import time
import math
from pathlib import Path
import pickle
import pprint
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import dendrogram
import sys
# Pretty Printer Object for ... | BioExp/clusters/customclustering.py | import numpy as np
import weakref
from collections import defaultdict
from similarity import computeDistance
from time import time
import math
from pathlib import Path
import pickle
import pprint
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import dendrogram
import sys
# Pretty Printer Object for ... | 0.524882 | 0.437103 |
import _init_paths
from fast_rcnn.config import cfg, cfg_from_file, cfg_from_list
from datasets.factory import get_imdb
import argparse
import time, os, sys
import numpy as np
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
... | tools/eval_recall.py |
import _init_paths
from fast_rcnn.config import cfg, cfg_from_file, cfg_from_list
from datasets.factory import get_imdb
import argparse
import time, os, sys
import numpy as np
def parse_args():
"""
Parse input arguments
"""
parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
... | 0.342572 | 0.131926 |
from typing import Any, Dict, Tuple
from dataclasses import field
from pydantic.json import pydantic_encoder
from pydantic import validate_arguments
from xsdata.formats.dataclass.serializers import XmlSerializer, JsonSerializer
from xsdata.formats.dataclass.serializers.config import SerializerConfig
from xsdata.format... | pyaniml/utility/utils.py | from typing import Any, Dict, Tuple
from dataclasses import field
from pydantic.json import pydantic_encoder
from pydantic import validate_arguments
from xsdata.formats.dataclass.serializers import XmlSerializer, JsonSerializer
from xsdata.formats.dataclass.serializers.config import SerializerConfig
from xsdata.format... | 0.94121 | 0.339225 |
from pyrogram import Client, filters
from pyrogram.types import Message
from bot_errors_logger import logging_errors
import constants
import db
from tr import tr
import json
import html
from bot_custom_exceptions import google_api_error
prefix = constants.prefix
@Client.on_message(filters.command("start", prefix) & ... | plugins/privatechat.py | from pyrogram import Client, filters
from pyrogram.types import Message
from bot_errors_logger import logging_errors
import constants
import db
from tr import tr
import json
import html
from bot_custom_exceptions import google_api_error
prefix = constants.prefix
@Client.on_message(filters.command("start", prefix) & ... | 0.259732 | 0.10325 |
from datetime import datetime, timedelta
from unittest.mock import ANY, Mock
import pytest
from quetz.dao import Dao
from quetz.metrics.db_models import IntervalType, next_timestamp, round_timestamp
from quetz.metrics.tasks import synchronize_metrics_from_mirrors
def test_round_timestamp():
timestamp = datetime... | quetz/tests/api/test_metrics.py | from datetime import datetime, timedelta
from unittest.mock import ANY, Mock
import pytest
from quetz.dao import Dao
from quetz.metrics.db_models import IntervalType, next_timestamp, round_timestamp
from quetz.metrics.tasks import synchronize_metrics_from_mirrors
def test_round_timestamp():
timestamp = datetime... | 0.840226 | 0.573529 |
from __future__ import absolute_import, division, print_function, with_statement
import functools
import socket
from tornado.concurrent import Future
from tornado.ioloop import IOLoop
from tornado.iostream import IOStream
from tornado import gen
from tornado.netutil import Resolver
_INITIAL_CONNECT_TIMEOUT = 0.3
c... | tornado/tcpclient.py | from __future__ import absolute_import, division, print_function, with_statement
import functools
import socket
from tornado.concurrent import Future
from tornado.ioloop import IOLoop
from tornado.iostream import IOStream
from tornado import gen
from tornado.netutil import Resolver
_INITIAL_CONNECT_TIMEOUT = 0.3
c... | 0.63114 | 0.183649 |
import logging
from kovot.mod import ModManager
# Kovot
class Bot:
"""対話システム実行クラス"""
def __init__(self,
mods,
speaker=None,
preprocessor=None,
response_selector=None,
postprocessor=None):
self.module_manager = ModM... | kovot/bot.py |
import logging
from kovot.mod import ModManager
# Kovot
class Bot:
"""対話システム実行クラス"""
def __init__(self,
mods,
speaker=None,
preprocessor=None,
response_selector=None,
postprocessor=None):
self.module_manager = ModM... | 0.474875 | 0.102529 |
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.spectral_norm as SpectralNorm
class Nothing(nn.Module):
def __init__(self):
super(Nothing, self).__init__()
def forward(self, x):
return x
def get_norm(norm_type, size):
... | architectures/architecture_dcgan.py | import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.utils.spectral_norm as SpectralNorm
class Nothing(nn.Module):
def __init__(self):
super(Nothing, self).__init__()
def forward(self, x):
return x
def get_norm(norm_type, size):
... | 0.927363 | 0.430327 |
from __future__ import absolute_import
import logging
from os import path
import click
from polyswarm.client import utils
logger = logging.getLogger(__name__)
@click.group(short_help='Interact with live hunts.')
def live():
pass
@click.group(short_help='Interact with historical hunts.')
def historical():
... | src/polyswarm/client/hunt.py | from __future__ import absolute_import
import logging
from os import path
import click
from polyswarm.client import utils
logger = logging.getLogger(__name__)
@click.group(short_help='Interact with live hunts.')
def live():
pass
@click.group(short_help='Interact with historical hunts.')
def historical():
... | 0.416322 | 0.054349 |
from xml.etree import cElementTree as etree
import os
import re
import sys
import time
VERSION = '1.69'
class Eaf:
"""Read and write Elan's Eaf files.
.. note:: All times are in milliseconds and can't have decimals.
:var dict adocument: Annotation document TAG entries.
:var list licenses: Licences... | video_tools/pympi/Elan.py |
from xml.etree import cElementTree as etree
import os
import re
import sys
import time
VERSION = '1.69'
class Eaf:
"""Read and write Elan's Eaf files.
.. note:: All times are in milliseconds and can't have decimals.
:var dict adocument: Annotation document TAG entries.
:var list licenses: Licences... | 0.676192 | 0.381104 |
import rospy
from copy import deepcopy
from tf.transformations import euler_from_quaternion
from nav_msgs.msg import Odometry
from geometry_msgs.msg import PolygonStamped, Point32
from visualization_msgs.msg import Marker
import numpy as np
class VehicleFootprint:
MARKER = np.array([[0, 0.75], [-0.5, -0.25], [0.... | uuv_assistants/scripts/publish_vehicle_footprint.py |
import rospy
from copy import deepcopy
from tf.transformations import euler_from_quaternion
from nav_msgs.msg import Odometry
from geometry_msgs.msg import PolygonStamped, Point32
from visualization_msgs.msg import Marker
import numpy as np
class VehicleFootprint:
MARKER = np.array([[0, 0.75], [-0.5, -0.25], [0.... | 0.521959 | 0.151498 |
from ..PyQt.QtGui import QWidget, QTableView, QAbstractItemView, QHBoxLayout, QVBoxLayout, QAbstractScrollArea, QPushButton, QFileDialog, QMessageBox, QLabel
from ..PyQt.QtCore import Qt, QSize, pyqtSlot
from .connection_table_model import ConnectionTableModel
class ConnectionInspector(QWidget):
def __init__(self,... | pydm/connection_inspector/connection_inspector.py | from ..PyQt.QtGui import QWidget, QTableView, QAbstractItemView, QHBoxLayout, QVBoxLayout, QAbstractScrollArea, QPushButton, QFileDialog, QMessageBox, QLabel
from ..PyQt.QtCore import Qt, QSize, pyqtSlot
from .connection_table_model import ConnectionTableModel
class ConnectionInspector(QWidget):
def __init__(self,... | 0.371137 | 0.062588 |
import pytest
import time
from tests.common.custom_cluster_test_suite import CustomClusterTestSuite
from tests.common.impala_cluster import ImpalaCluster
from tests.common.skip import SkipIf, SkipIfBuildType
from tests.verifiers.mem_usage_verifier import MemUsageVerifier
class TestKrpcMetrics(CustomClusterTestSuite):... | tests/custom_cluster/test_krpc_metrics.py |
import pytest
import time
from tests.common.custom_cluster_test_suite import CustomClusterTestSuite
from tests.common.impala_cluster import ImpalaCluster
from tests.common.skip import SkipIf, SkipIfBuildType
from tests.verifiers.mem_usage_verifier import MemUsageVerifier
class TestKrpcMetrics(CustomClusterTestSuite):... | 0.675015 | 0.281239 |
from django.shortcuts import render, redirect, get_object_or_404
from django.utils import timezone
from django.db import connection
from .forms import EventCreationForm, EditEventForm
from rso_manage.models import RSO, Registrations
from events.models import Event, Attending
from users.models import Member
import event... | events/views.py | from django.shortcuts import render, redirect, get_object_or_404
from django.utils import timezone
from django.db import connection
from .forms import EventCreationForm, EditEventForm
from rso_manage.models import RSO, Registrations
from events.models import Event, Attending
from users.models import Member
import event... | 0.384219 | 0.135204 |
import argparse
import sys
import typing
from typing import Any, Optional, Text
def module_parser() -> argparse.ArgumentParser:
return argparse.ArgumentParser(add_help=False)
class StoreInModule(argparse.Action):
"""ArgParse action emulating a gflags-esque API (flag affects global value).
This doesn't neces... | openhtf/util/argv.py |
import argparse
import sys
import typing
from typing import Any, Optional, Text
def module_parser() -> argparse.ArgumentParser:
return argparse.ArgumentParser(add_help=False)
class StoreInModule(argparse.Action):
"""ArgParse action emulating a gflags-esque API (flag affects global value).
This doesn't neces... | 0.66628 | 0.223377 |
import csv
import os
import xlrd
import xlwt
from xlutils.copy import copy
class Temp:
def __init__(self, url, count):
self.data_urls = url
self.count = count
def copy_csv_to_excel():
"""
把csv文件复制到excel中去，这可真是被这个奇怪的框架折磨疯了
"""
reader = csv.reader(open("temp.csv", 'r'))
if os... | scrapyspider/main.py | import csv
import os
import xlrd
import xlwt
from xlutils.copy import copy
class Temp:
def __init__(self, url, count):
self.data_urls = url
self.count = count
def copy_csv_to_excel():
"""
把csv文件复制到excel中去，这可真是被这个奇怪的框架折磨疯了
"""
reader = csv.reader(open("temp.csv", 'r'))
if os... | 0.118436 | 0.164953 |
import warnings
warnings.filterwarnings('ignore')
warnings.filterwarnings('ignore', category=DeprecationWarning)
warnings.filterwarnings('ignore', category=FutureWarning)
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
import torch
import numpy as np
from models import models, wrn... | eval_OOD.py | import warnings
warnings.filterwarnings('ignore')
warnings.filterwarnings('ignore', category=DeprecationWarning)
warnings.filterwarnings('ignore', category=FutureWarning)
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
import torch
import numpy as np
from models import models, wrn... | 0.356671 | 0.291863 |
from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
unified_strdate,
update_url_query,
urlencode_postdata,
)
class MediciIE(InfoExtractor):
_VALID_URL = r"https?://(?:www\.)?medici\.tv/#!/(?P<id>[^?#&]+)"
_TEST = {
"url": "http://www.medici.tv/#... | youtuatools/extractor/medici.py | from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
unified_strdate,
update_url_query,
urlencode_postdata,
)
class MediciIE(InfoExtractor):
_VALID_URL = r"https?://(?:www\.)?medici\.tv/#!/(?P<id>[^?#&]+)"
_TEST = {
"url": "http://www.medici.tv/#... | 0.536799 | 0.194884 |
from const import *
from statistics import mean, median
import numpy as np
sadpanda = 'NO ENTRIES\n'
class Plugin:
"""Parent class definition for all plugins."""
name = ''
def process(self, entry):
return entry
def finalize(self):
pass
def get_data(self):
return []
de... | log_analyzer/plugins.py | from const import *
from statistics import mean, median
import numpy as np
sadpanda = 'NO ENTRIES\n'
class Plugin:
"""Parent class definition for all plugins."""
name = ''
def process(self, entry):
return entry
def finalize(self):
pass
def get_data(self):
return []
de... | 0.758063 | 0.298888 |
from team29.analizer.abstract.expression import Expression, TYPE
from team29.analizer.abstract import expression
from team29.analizer.reports import Nodo
from datetime import datetime
from team29.analizer.statement.expressions.primitive import Primitive
import pandas as pd
class ExtractDate(Expression):
def __ini... | bases_2021_1S/Grupo 09/Tytus/Query Tool/team29/analizer/statement/functions/extract.py | from team29.analizer.abstract.expression import Expression, TYPE
from team29.analizer.abstract import expression
from team29.analizer.reports import Nodo
from datetime import datetime
from team29.analizer.statement.expressions.primitive import Primitive
import pandas as pd
class ExtractDate(Expression):
def __ini... | 0.380068 | 0.245232 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import json
import datetime
import os
START_DATE = datetime.date(2014, 9, 10)
END_DATE = datetime.date(2016, 7, 16)
def read_stories_without_tags():
stories = list()
current_date = START_DATE
while current_date <= END_DATE:
... | User_Crawler/medium_topstories_analyzer.py |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import json
import datetime
import os
START_DATE = datetime.date(2014, 9, 10)
END_DATE = datetime.date(2016, 7, 16)
def read_stories_without_tags():
stories = list()
current_date = START_DATE
while current_date <= END_DATE:
... | 0.201224 | 0.135518 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('sponsors', '0050_emailtargetable_emailtargetableconfiguration'),
]
operations = [
migrations.AlterField(
model_name='sponsor',
name... | sponsors/migrations/0051_auto_20211022_1403.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('sponsors', '0050_emailtargetable_emailtargetableconfiguration'),
]
operations = [
migrations.AlterField(
model_name='sponsor',
name... | 0.54698 | 0.135489 |
import json
import logging
import typing
from fastapi import APIRouter, Depends
from starlette.requests import Request
from starlette.responses import Response
from starlette.status import HTTP_200_OK
from slackers.hooks import actions, commands, emit, events
from slackers.models import SlackAction, SlackChallenge, S... | src/slackers/server.py | import json
import logging
import typing
from fastapi import APIRouter, Depends
from starlette.requests import Request
from starlette.responses import Response
from starlette.status import HTTP_200_OK
from slackers.hooks import actions, commands, emit, events
from slackers.models import SlackAction, SlackChallenge, S... | 0.548432 | 0.081739 |
from pathlib import Path
from pytest import fixture, FixtureRequest, mark
from pytest_mock import MockerFixture
from novel_tools.common import NovelData, Type
from novel_tools.writers.text_writer import TextWriter
def assert_text(text_path: Path, expected: str):
assert text_path.is_file()
with text_path.open(... | tests/writers/test_text_writer.py | from pathlib import Path
from pytest import fixture, FixtureRequest, mark
from pytest_mock import MockerFixture
from novel_tools.common import NovelData, Type
from novel_tools.writers.text_writer import TextWriter
def assert_text(text_path: Path, expected: str):
assert text_path.is_file()
with text_path.open(... | 0.671901 | 0.411643 |
import pkg_resources
__version__ = pkg_resources.require(__name__)[0].version
CUSTOM_CMAPS = []
def __RGBToPyCmap(rgbdata):
import numpy as np
nsteps = rgbdata.shape[0]
stepaxis = np.linspace(0, 1, nsteps)
rdata=[]; gdata=[]; bdata=[]
for istep in range(nsteps):
r = rgbdata[istep,0]
g = rgbdata[iste... | myplotlib/__init__.py | import pkg_resources
__version__ = pkg_resources.require(__name__)[0].version
CUSTOM_CMAPS = []
def __RGBToPyCmap(rgbdata):
import numpy as np
nsteps = rgbdata.shape[0]
stepaxis = np.linspace(0, 1, nsteps)
rdata=[]; gdata=[]; bdata=[]
for istep in range(nsteps):
r = rgbdata[istep,0]
g = rgbdata[iste... | 0.273089 | 0.18939 |
units_style = {
"lj": {},
"real": {
"[mass]": "(gram mol ** -1)",
"[length]": "angstrom",
"[time]": "femtosecond",
"[energy]": "(kcal mol ** -1)",
"[velocity]": "(angstrom femtosecond ** -1)",
"[force]": "(kcal * mol ** -1 angstrom ** -1)",
"[torque]": "(... | eex/translators/lammps/lammps_units.py |
units_style = {
"lj": {},
"real": {
"[mass]": "(gram mol ** -1)",
"[length]": "angstrom",
"[time]": "femtosecond",
"[energy]": "(kcal mol ** -1)",
"[velocity]": "(angstrom femtosecond ** -1)",
"[force]": "(kcal * mol ** -1 angstrom ** -1)",
"[torque]": "(... | 0.784773 | 0.597167 |
import base64
import json
import boto3
def get_secret():
secret_name = "prod/dynamodb"
region_name = "eu-central-1"
# Create a Secrets Manager client
session = boto3.session.Session()
client = session.client(
service_name='secretsmanager',
region_name=region_name
)
# In ... | app/utils.py | import base64
import json
import boto3
def get_secret():
secret_name = "prod/dynamodb"
region_name = "eu-central-1"
# Create a Secrets Manager client
session = boto3.session.Session()
client = session.client(
service_name='secretsmanager',
region_name=region_name
)
# In ... | 0.47098 | 0.095983 |