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 logging
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.sql import exists
from sqlalchemy.orm import sessionmaker
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from orion.core.orms.mag_orm import FieldOfStudy, FosHierarchy, FosMetad... | orion/core/operators/mag_collect_task.py | import logging
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.sql import exists
from sqlalchemy.orm import sessionmaker
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from orion.core.orms.mag_orm import FieldOfStudy, FosHierarchy, FosMetad... | 0.661158 | 0.216518 |
import inspect
import os
from abc import abstractmethod
from typing import Any, Dict, Tuple, Optional, Type
from unittest import TestCase
from ._AbstractTestMeta import AbstractTestMeta
from .serialisation import BytesSerialiser, StringSerialiser, RegressionSerialiser
from ._functions import get_subject_args, get_skip... | src/wai/test/_AbstractTest.py | import inspect
import os
from abc import abstractmethod
from typing import Any, Dict, Tuple, Optional, Type
from unittest import TestCase
from ._AbstractTestMeta import AbstractTestMeta
from .serialisation import BytesSerialiser, StringSerialiser, RegressionSerialiser
from ._functions import get_subject_args, get_skip... | 0.845481 | 0.356699 |
import datetime
import os
import pycodestyle
import unittest
import faulthandler
faulthandler.enable() # to debug seg faults and timeouts
import cfdm
class styleTest(unittest.TestCase):
"""Test all Python files against Python style conventions."""
def setUp(self):
"""Preparations called immediate... | cfdm/test/test_style.py | import datetime
import os
import pycodestyle
import unittest
import faulthandler
faulthandler.enable() # to debug seg faults and timeouts
import cfdm
class styleTest(unittest.TestCase):
"""Test all Python files against Python style conventions."""
def setUp(self):
"""Preparations called immediate... | 0.645008 | 0.25247 |
from stomp_message_controller import StompMessageController
from stomp_message import StompMessage
class MailDomainServiceController(StompMessageController):
stomp_tasks = ["CreateVirtualMailbox", "RemoveVirtualMailbox", "EnableVirtualMailbox", "DisableVirtualMailbox", "SetVirtualMailboxPasswd", "CreateVirtualMailA... | virtual_mail_management_processor/mail_domain_service_controller.py | from stomp_message_controller import StompMessageController
from stomp_message import StompMessage
class MailDomainServiceController(StompMessageController):
stomp_tasks = ["CreateVirtualMailbox", "RemoveVirtualMailbox", "EnableVirtualMailbox", "DisableVirtualMailbox", "SetVirtualMailboxPasswd", "CreateVirtualMailA... | 0.087058 | 0.067639 |
import calendar
from hashlib import md5
from datetime import datetime, timedelta
import uuid
from snuba import settings
from snuba.datasets.factory import enforce_table_writer, get_dataset
from snuba.clickhouse.native import ClickhousePool
from snuba.redis import redis_client
def wrap_raw_event(event):
"Wrap a r... | tests/base.py | import calendar
from hashlib import md5
from datetime import datetime, timedelta
import uuid
from snuba import settings
from snuba.datasets.factory import enforce_table_writer, get_dataset
from snuba.clickhouse.native import ClickhousePool
from snuba.redis import redis_client
def wrap_raw_event(event):
"Wrap a r... | 0.507568 | 0.244062 |
import os
import pygame
from labyrinth_generator import generate
from random import randint
from time import time, sleep
import mazeFinder
BLOCKSIZE = 16
WIDTH = 590
HEIGHT = 480
DELAY = 20
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLACK = (0, 0, 0)
# Class for the orange dude
class Player(obje... | labyrinth_explorer.py | import os
import pygame
from labyrinth_generator import generate
from random import randint
from time import time, sleep
import mazeFinder
BLOCKSIZE = 16
WIDTH = 590
HEIGHT = 480
DELAY = 20
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLACK = (0, 0, 0)
# Class for the orange dude
class Player(obje... | 0.592667 | 0.355076 |
import copy
from six.moves.urllib import parse as urlparse
from testtools import matchers
from watcherclient.tests.unit import utils
import watcherclient.v1.audit_template
AUDIT_TMPL1 = {
'id': 1,
'uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2',
'name': 'Audit Template 1',
'description': 'Audit Templ... | watcherclient/tests/unit/v1/test_audit_template.py |
import copy
from six.moves.urllib import parse as urlparse
from testtools import matchers
from watcherclient.tests.unit import utils
import watcherclient.v1.audit_template
AUDIT_TMPL1 = {
'id': 1,
'uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2',
'name': 'Audit Template 1',
'description': 'Audit Templ... | 0.35421 | 0.153264 |
from django.db import models
from django.contrib.postgres.fields import JSONField
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from ..data.models import Jurisdiction, LegislativeSession
OBJECT_TYPES = (
("jurisdiction", "Jurisdiction")... | openstates/reports/models.py | from django.db import models
from django.contrib.postgres.fields import JSONField
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from ..data.models import Jurisdiction, LegislativeSession
OBJECT_TYPES = (
("jurisdiction", "Jurisdiction")... | 0.566978 | 0.194387 |
from lark import Lark, Transformer, v_args
from pecan.lang.optimizer.tools import *
from pecan.lang.ir import *
from pecan.lang.parser import PecanTransformer
from pecan.lang.ast_to_ir import ASTToIR
from pecan.lang.optimizer.redundant_variable_optimizer import RedundantVariableOptimizer
from pecan.lang.optimizer.un... | test/test_optimizer_tools.py |
from lark import Lark, Transformer, v_args
from pecan.lang.optimizer.tools import *
from pecan.lang.ir import *
from pecan.lang.parser import PecanTransformer
from pecan.lang.ast_to_ir import ASTToIR
from pecan.lang.optimizer.redundant_variable_optimizer import RedundantVariableOptimizer
from pecan.lang.optimizer.un... | 0.732305 | 0.511534 |
from __future__ import print_function
import logging
import os
import shutil
import sys
from cfn_flip import to_yaml
from ..runway_command import RunwayCommand
from ...cfngin.context import Context
from ...env_mgr.tfenv import get_latest_tf_version
LOGGER = logging.getLogger('runway')
ROOT = os.path.dirname(os.path... | runway/commands/runway/gen_sample.py | from __future__ import print_function
import logging
import os
import shutil
import sys
from cfn_flip import to_yaml
from ..runway_command import RunwayCommand
from ...cfngin.context import Context
from ...env_mgr.tfenv import get_latest_tf_version
LOGGER = logging.getLogger('runway')
ROOT = os.path.dirname(os.path... | 0.476336 | 0.183722 |
def docs(**kwargs):
"""
Annotate the decorated view function with the specified Swagger
attributes.
Usage:
.. code-block:: python
from aiohttp import web
@docs(tags=['my_tag'],
summary='Test method summary',
description='Test method description',
... | aiohttp_apispec/decorators.py | def docs(**kwargs):
"""
Annotate the decorated view function with the specified Swagger
attributes.
Usage:
.. code-block:: python
from aiohttp import web
@docs(tags=['my_tag'],
summary='Test method summary',
description='Test method description',
... | 0.683842 | 0.350449 |
import os
import sys
from typing import Tuple
import inquirer
from cli.platform.error import CliError
from winnow.pipeline.pipeline_context import PipelineContext
from winnow.remote.connect import RepoConnector
def ask_password(
message, literal_pass: Tuple[str, str] = (None, None), file_pass: Tuple[str, str] =... | cli/cli/platform/arguments.py | import os
import sys
from typing import Tuple
import inquirer
from cli.platform.error import CliError
from winnow.pipeline.pipeline_context import PipelineContext
from winnow.remote.connect import RepoConnector
def ask_password(
message, literal_pass: Tuple[str, str] = (None, None), file_pass: Tuple[str, str] =... | 0.525856 | 0.096578 |
from setuptools import setup, find_packages
import grxtestassert
desc = """
assertpy
========
Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3.
Usage
-----
Just import the ``assert_that`` function, and away you go...::
from assertpy import assert_that
... | setup.py | from setuptools import setup, find_packages
import grxtestassert
desc = """
assertpy
========
Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3.
Usage
-----
Just import the ``assert_that`` function, and away you go...::
from assertpy import assert_that
... | 0.838746 | 0.653473 |
import random
class HashTable(object):
"""Hash Table."""
def __init__(self, size=6, hash_type='additive'):
"""Instantiate empty hash table."""
hash_types = {'additive': self._additive,
'elf': self._elf}
if hash_type not in hash_types:
raise ValueErro... | src/hash.py |
import random
class HashTable(object):
"""Hash Table."""
def __init__(self, size=6, hash_type='additive'):
"""Instantiate empty hash table."""
hash_types = {'additive': self._additive,
'elf': self._elf}
if hash_type not in hash_types:
raise ValueErro... | 0.719876 | 0.183118 |
from tkinter import messagebox, filedialog
from tkinter import *
from PIL import Image, ImageTk
import numpy as np
import xml.dom.minidom
import xml.dom
import glob
import os
# colors for the bboxes
COLORS = ['red', 'orange', 'cyan', 'green', 'blue', 'purple', 'pink', 'black', 'gray']
# classes name
CLASSES = ['aeropl... | main.py | from tkinter import messagebox, filedialog
from tkinter import *
from PIL import Image, ImageTk
import numpy as np
import xml.dom.minidom
import xml.dom
import glob
import os
# colors for the bboxes
COLORS = ['red', 'orange', 'cyan', 'green', 'blue', 'purple', 'pink', 'black', 'gray']
# classes name
CLASSES = ['aeropl... | 0.466846 | 0.21869 |
import os
import sys
import numpy as np
import time
import pickle
from queue import deque
import torch
import copy
"""
Hyperparameter tuning script. Runs jobs specified by a hyperparameter search space and launches them on GPUs.
The script always checks if any jobs have been completed, and, if they have, immediately ... | tuning.py |
import os
import sys
import numpy as np
import time
import pickle
from queue import deque
import torch
import copy
"""
Hyperparameter tuning script. Runs jobs specified by a hyperparameter search space and launches them on GPUs.
The script always checks if any jobs have been completed, and, if they have, immediately ... | 0.519521 | 0.535584 |
NegativeTime = -1
ConditionNotSatisfied = -2
NoWorkerExists = -3
WrongBuildingName = -4
WrongUpgradeName = -5
WrongUnitName = -6
UnknownError = -7
WrongFlag = -8
SupplyBlocked = -9
NoBarrackExists = -10
NoOneGathersGasOrMineral = -11
MineralFieldsAreFull = -12
NoOneGathersGas = -13
GasLayersAreFull = -14
NotEnoughWorke... | error.py | NegativeTime = -1
ConditionNotSatisfied = -2
NoWorkerExists = -3
WrongBuildingName = -4
WrongUpgradeName = -5
WrongUnitName = -6
UnknownError = -7
WrongFlag = -8
SupplyBlocked = -9
NoBarrackExists = -10
NoOneGathersGasOrMineral = -11
MineralFieldsAreFull = -12
NoOneGathersGas = -13
GasLayersAreFull = -14
NotEnoughWorke... | 0.301773 | 0.190705 |
import heterocl as hcl
import os, sys
import numpy as np
import time
hcl.init(hcl.Float())
def test_gemm_cpu(target=None):
A = hcl.placeholder((32, 32), "A")
B = hcl.placeholder((32, 32), "B")
def gemm(A, B):
k = hcl.reduce_axis(0, 32, "k")
C = hcl.compute((32, 32), lambda i, j:
... | tests/mlir/hcl-mlir/test_gemm.py | import heterocl as hcl
import os, sys
import numpy as np
import time
hcl.init(hcl.Float())
def test_gemm_cpu(target=None):
A = hcl.placeholder((32, 32), "A")
B = hcl.placeholder((32, 32), "B")
def gemm(A, B):
k = hcl.reduce_axis(0, 32, "k")
C = hcl.compute((32, 32), lambda i, j:
... | 0.282097 | 0.270387 |
from pyfaidx import Fasta
import sys
import re
if len(sys.argv)>=2:
gen = sys.argv[1]
chr = sys.argv[2]
pos = sys.argv[3]
desc = sys.argv[4]
f = open("Ugene.txt", "a")
if gen.upper() == "GB":
genome = Fasta("H:/data/Gb/GB.fa")
p = pos.split(":")
f.write(">")
... | bio/Retrieve_seqs.py | from pyfaidx import Fasta
import sys
import re
if len(sys.argv)>=2:
gen = sys.argv[1]
chr = sys.argv[2]
pos = sys.argv[3]
desc = sys.argv[4]
f = open("Ugene.txt", "a")
if gen.upper() == "GB":
genome = Fasta("H:/data/Gb/GB.fa")
p = pos.split(":")
f.write(">")
... | 0.084888 | 0.118819 |
import subprocess
# cheap python 2/3 compatability
try:
unicode
except NameError:
unicode = str
def _divider(divider):
return {
u'contents': divider,
u'highlight_groups': ['window_status']
}
def _segment(num_mails, search):
try:
icon = search['icon']
if icon != u""... | powerline_notmuch/segments.py | import subprocess
# cheap python 2/3 compatability
try:
unicode
except NameError:
unicode = str
def _divider(divider):
return {
u'contents': divider,
u'highlight_groups': ['window_status']
}
def _segment(num_mails, search):
try:
icon = search['icon']
if icon != u""... | 0.526099 | 0.173428 |
#coding:utf-8
import System
clr.ImportExtensions(System.Linq)
from pycad.runtime import *
@command(flags = acrx.CommandFlags.Redraw)
def mycir():
with dbtrans(commit = True) as tr:
btr = tr.opencurrspace(acdb.OpenMode.ForWrite)
res = ed.GetPoint('\n输入一个点')
if res.Status == aced... | Projects/Debug/pytest/cmds/__init__.py | #coding:utf-8
import System
clr.ImportExtensions(System.Linq)
from pycad.runtime import *
@command(flags = acrx.CommandFlags.Redraw)
def mycir():
with dbtrans(commit = True) as tr:
btr = tr.opencurrspace(acdb.OpenMode.ForWrite)
res = ed.GetPoint('\n输入一个点')
if res.Status == aced... | 0.201342 | 0.142799 |
from collections import OrderedDict
import pytest
from .. import *
from .subroutines import (
findRecursionPoints,
spillLocalSlotsDuringRecursion,
resolveSubroutines,
)
def test_findRecursionPoints_empty():
subroutines = dict()
expected = dict()
actual = findRecursionPoints(subroutines)
... | pyteal/compiler/subroutines_test.py | from collections import OrderedDict
import pytest
from .. import *
from .subroutines import (
findRecursionPoints,
spillLocalSlotsDuringRecursion,
resolveSubroutines,
)
def test_findRecursionPoints_empty():
subroutines = dict()
expected = dict()
actual = findRecursionPoints(subroutines)
... | 0.728652 | 0.26491 |
__author__ = "<NAME>"
__date__ = "3 May 2008"
__version__ = "1.0"
import datetime
import wx
#======================================================================
# Editor Registry
# Module level variable
_cellEditorRegistrySingleton = None
def CellEditorRegistry():
"""
Return the registry that is managing... | external/ObjectListView/CellEditor.py | __author__ = "<NAME>"
__date__ = "3 May 2008"
__version__ = "1.0"
import datetime
import wx
#======================================================================
# Editor Registry
# Module level variable
_cellEditorRegistrySingleton = None
def CellEditorRegistry():
"""
Return the registry that is managing... | 0.621081 | 0.23926 |
__all__ = [
'HookPriority', 'HookEntry', 'HookList',
]
class HookPriority(object):
"""
Pre-defined hook priorities for :class:`~tfsnippet.trainer.BaseTrainer`
and :class:`~tfsnippet.trainer.Evaluator`.
Smaller values take higher priorities.
"""
EVALUATION = VALIDATION = 500
DEFAULT =... | tfsnippet/trainer/hooks.py | __all__ = [
'HookPriority', 'HookEntry', 'HookList',
]
class HookPriority(object):
"""
Pre-defined hook priorities for :class:`~tfsnippet.trainer.BaseTrainer`
and :class:`~tfsnippet.trainer.Evaluator`.
Smaller values take higher priorities.
"""
EVALUATION = VALIDATION = 500
DEFAULT =... | 0.950076 | 0.402921 |
import sys
import os
from bitcoin.bip39 import mnemonic_from_bytes, mnemonic_to_seed
from bitcoin.bip32 import HDKey, parse_path
from bitcoin.hashes import hash160
from bitcoin.networks import NETWORKS
import hashlib
import pyb
from hardware_wallet.classes.psbt import PSBT
from hardware_wallet.classes.psbt_validator ... | hardware_wallet/controller.py | import sys
import os
from bitcoin.bip39 import mnemonic_from_bytes, mnemonic_to_seed
from bitcoin.bip32 import HDKey, parse_path
from bitcoin.hashes import hash160
from bitcoin.networks import NETWORKS
import hashlib
import pyb
from hardware_wallet.classes.psbt import PSBT
from hardware_wallet.classes.psbt_validator ... | 0.449634 | 0.281103 |
## Índices dos valores máximos ou mínimos
* Os métodos **idxmin()** e **idxmax()** retornam o *index* cuja entrada fornece o valor mínimo ou máximo da *Serie* ou *DataFrame*.
* Se houverem múltiplas ocorrências de mínimos ou máximos, o método retorna a primeira ocorrência.
import numpy as np
import pandas as pd
imp... | _build/jupyter_execute/ipynb/06b-intro-pandas2.py | def verifica_final_do(palavra):
return palavra.lower()[-2:] == 'do'
dados_covid_PB.loc[(dados_covid_PB.obitosNovos>25) &
(dados_covid_PB.casosNovos>1500)] | 0.415966 | 0.426919 |
from sklearn.ensemble import AdaBoostClassifier
from sklearn.linear_model import LogisticRegression
import numpy as np
__author__ = '<NAME>'
class LogisticAdaBoost(AdaBoostClassifier):
"""
This class implements AdaBoost with a logistic regression for each class, in order to fine tune the
voting weights o... | linear/__init__.py | from sklearn.ensemble import AdaBoostClassifier
from sklearn.linear_model import LogisticRegression
import numpy as np
__author__ = '<NAME>'
class LogisticAdaBoost(AdaBoostClassifier):
"""
This class implements AdaBoost with a logistic regression for each class, in order to fine tune the
voting weights o... | 0.951051 | 0.84916 |
import os
from praatio import textgrid
from datetime import datetime
from tqdm import tqdm
def main(args):
current_time = datetime.now().strftime("%H%M%S")
libri_path = args.LibriTTS
train_path_list = ['train-clean-100', 'train-clean-360', 'train-other-500', 'dev-clean', 'dev-other', 'test-clean', 'test-ot... | pytorch/diora/speech/preprocessing/check.py | import os
from praatio import textgrid
from datetime import datetime
from tqdm import tqdm
def main(args):
current_time = datetime.now().strftime("%H%M%S")
libri_path = args.LibriTTS
train_path_list = ['train-clean-100', 'train-clean-360', 'train-other-500', 'dev-clean', 'dev-other', 'test-clean', 'test-ot... | 0.062245 | 0.07221 |
import os
import zipfile
from os import path
from subprocess import check_call
import platform
import tarfile
try:
from urllib.request import urlopen, HTTPError
except ImportError:
from urllib2 import urlopen, HTTPError
class SnapshotNotFound(BaseException):
pass
SOURCE = "https://dl.dropboxuserconten... | ws/snapshot.py | import os
import zipfile
from os import path
from subprocess import check_call
import platform
import tarfile
try:
from urllib.request import urlopen, HTTPError
except ImportError:
from urllib2 import urlopen, HTTPError
class SnapshotNotFound(BaseException):
pass
SOURCE = "https://dl.dropboxuserconten... | 0.318167 | 0.052449 |
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown he... | Docs/source/conf.py |
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown he... | 0.364551 | 0.075995 |
from aetherling.modules.hydrate import Hydrate, Dehydrate
from aetherling.modules.map_fully_parallel_sequential import MapParallel
from magma.simulator.coreir_simulator import CoreIRSimulator
import coreir
from magma.scope import Scope
from aetherling.helpers.image_RAM import *
from aetherling.modules.upsample import U... | tests/test_updown.py | from aetherling.modules.hydrate import Hydrate, Dehydrate
from aetherling.modules.map_fully_parallel_sequential import MapParallel
from magma.simulator.coreir_simulator import CoreIRSimulator
import coreir
from magma.scope import Scope
from aetherling.helpers.image_RAM import *
from aetherling.modules.upsample import U... | 0.47171 | 0.338514 |
import os
import os.path as osp
import pandas as pd
from ..load_sim import LoadSim
from ..util.units import Units
from .hst import Hst
from .dust_pol import DustPol
class LoadSimFeedbackTest(LoadSim, Hst, DustPol):
"""LoadSim class for analyzing LoadSimFeedbackTest simulations.
"""
def __init__(self... | pyathena/feedback_test/load_sim_feedback_test.py | import os
import os.path as osp
import pandas as pd
from ..load_sim import LoadSim
from ..util.units import Units
from .hst import Hst
from .dust_pol import DustPol
class LoadSimFeedbackTest(LoadSim, Hst, DustPol):
"""LoadSim class for analyzing LoadSimFeedbackTest simulations.
"""
def __init__(self... | 0.623148 | 0.223271 |
import unittest2
import json
from consts.award_type import AwardType
from datafeeds.usfirst_event_awards_parser import UsfirstEventAwardsParser
def convert_to_comparable(data):
"""
Converts jsons to dicts so that elements can be more easily compared
"""
if type(data) == list:
return [convert_... | tests/test_usfirst_event_awards_parser.py | import unittest2
import json
from consts.award_type import AwardType
from datafeeds.usfirst_event_awards_parser import UsfirstEventAwardsParser
def convert_to_comparable(data):
"""
Converts jsons to dicts so that elements can be more easily compared
"""
if type(data) == list:
return [convert_... | 0.575827 | 0.525491 |
import torch
class LSTM_Music(torch.nn.Module):
def __init__(self, vocab_size, embed_size, hidden_size, latent_size, num_layers=1):
super(LSTM_Music, self).__init__()
self.device = "cuda" if torch.cuda.is_available() else "cpu"
# Variables
self.num_layers = num_layers
self.lstm_factor = num... | model.py | import torch
class LSTM_Music(torch.nn.Module):
def __init__(self, vocab_size, embed_size, hidden_size, latent_size, num_layers=1):
super(LSTM_Music, self).__init__()
self.device = "cuda" if torch.cuda.is_available() else "cpu"
# Variables
self.num_layers = num_layers
self.lstm_factor = num... | 0.754825 | 0.450118 |
from datetime import datetime
from decimal import Decimal
import pytest
from byceps.services.shop.order.models.orderer import Orderer
from byceps.services.shop.order import service as order_service
from byceps.services.shop.order.transfer.models import (
Order,
OrderNumber,
OrderState,
PaymentState,
)... | tests/unit/services/shop/order/test_order_state.py | from datetime import datetime
from decimal import Decimal
import pytest
from byceps.services.shop.order.models.orderer import Orderer
from byceps.services.shop.order import service as order_service
from byceps.services.shop.order.transfer.models import (
Order,
OrderNumber,
OrderState,
PaymentState,
)... | 0.69181 | 0.224331 |
import numpy as np
from akg.utils import kernel_exec as utils
from tests.common.test_op.ascend import SecondOrder_diag_combine_matrix
from tests.common.gen_random import random_gaussian
def diag_combine_matrix_run(shape, dtype, attrs):
"""
ops run func.
"""
if len(shape) == 1:
shape = shape[0]... | tests/common/test_run/ascend/SecondOrder_diag_combine_matrix_run.py |
import numpy as np
from akg.utils import kernel_exec as utils
from tests.common.test_op.ascend import SecondOrder_diag_combine_matrix
from tests.common.gen_random import random_gaussian
def diag_combine_matrix_run(shape, dtype, attrs):
"""
ops run func.
"""
if len(shape) == 1:
shape = shape[0]... | 0.447219 | 0.535402 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import json
import os
import tensorflow as tf
import tensorflowjs as tfjs
INDEX_FROM = 3
# Offset in word index. Used during word index lookup and reverse lookup.
def get_word_index(reverse... | sentiment/python/imdb.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import json
import os
import tensorflow as tf
import tensorflowjs as tfjs
INDEX_FROM = 3
# Offset in word index. Used during word index lookup and reverse lookup.
def get_word_index(reverse... | 0.839734 | 0.553807 |
from __future__ import annotations
import logging
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassistant.components.sensor import SensorEntity
from homeassistant.const import (
ATTR_DEVICE_CLASS,
ATTR_ICON,
ATTR_ID,
ATTR_NAME,
ATTR_STATE,
ATTR_UNIT_OF_MEASUREMEN... | custom_components/plugwise/sensor.py | from __future__ import annotations
import logging
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassistant.components.sensor import SensorEntity
from homeassistant.const import (
ATTR_DEVICE_CLASS,
ATTR_ICON,
ATTR_ID,
ATTR_NAME,
ATTR_STATE,
ATTR_UNIT_OF_MEASUREMEN... | 0.771843 | 0.09739 |
import pylab
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.pyplot import MultipleLocator
import numpy as np
import math
legend_font = {'family' : 'Times New Roman',
'weight' : 'bold',
'size' : 5,
}
label_font = {'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 6.5,
... | exp/dag_drawer.py | import pylab
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.pyplot import MultipleLocator
import numpy as np
import math
legend_font = {'family' : 'Times New Roman',
'weight' : 'bold',
'size' : 5,
}
label_font = {'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 6.5,
... | 0.398758 | 0.435181 |
from datetime import datetime
import numpy as np
import pandas as pd
from gensim.models import Doc2Vec
from keras.layers.core import Dense, Dropout, Activation
from keras.models import Sequential
from keras.utils import np_utils
from sklearn.cross_validation import KFold
import cfg
# -----------------------load dat... | dm_nn_stack.py |
from datetime import datetime
import numpy as np
import pandas as pd
from gensim.models import Doc2Vec
from keras.layers.core import Dense, Dropout, Activation
from keras.models import Sequential
from keras.utils import np_utils
from sklearn.cross_validation import KFold
import cfg
# -----------------------load dat... | 0.501709 | 0.238839 |
import subprocess
import time
import os
from urllib import request
import requests
from bs4 import BeautifulSoup
def get_all_species():
"""Create dictionary with available Marine Mammal species in the Watkins database.
The database can be found here https://cis.whoi.edu/science/B/whalesounds/index.cfm
... | seasounds/get_data.py | import subprocess
import time
import os
from urllib import request
import requests
from bs4 import BeautifulSoup
def get_all_species():
"""Create dictionary with available Marine Mammal species in the Watkins database.
The database can be found here https://cis.whoi.edu/science/B/whalesounds/index.cfm
... | 0.661704 | 0.239027 |
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.test import TestCase, override_settings
from flags.conditions.validators import (
validate_boolean,
validate_date,
validate_parameter,
validate_path_re,
validate_user,
)
class ValidatePar... | flags/tests/test_conditions_validators.py | from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.test import TestCase, override_settings
from flags.conditions.validators import (
validate_boolean,
validate_date,
validate_parameter,
validate_path_re,
validate_user,
)
class ValidatePar... | 0.68637 | 0.442998 |
from __future__ import annotations
from collections.abc import Sequence
from time import time
from discord.ext import commands
import discord
from core import Cog, RT, t, DatabaseManager, cursor
from rtlib.common.json import dumps, loads
from rtlib.common.cacher import Cacher
from data import ROLE_NOTFOUND, FORB... | cogs/server-management/role_keeper.py |
from __future__ import annotations
from collections.abc import Sequence
from time import time
from discord.ext import commands
import discord
from core import Cog, RT, t, DatabaseManager, cursor
from rtlib.common.json import dumps, loads
from rtlib.common.cacher import Cacher
from data import ROLE_NOTFOUND, FORB... | 0.576184 | 0.116714 |
import threading
import serial
import time
from serial import Serial
class Ev3:
class _MsgType:
class Mode:
def __init__(self, first, second):
self.second = second
self.first = first
Speed = Mode(10, 165)
Start = Mode(8, 166)
Stop = Mode... | ev3/ev3.py | import threading
import serial
import time
from serial import Serial
class Ev3:
class _MsgType:
class Mode:
def __init__(self, first, second):
self.second = second
self.first = first
Speed = Mode(10, 165)
Start = Mode(8, 166)
Stop = Mode... | 0.451327 | 0.16238 |
import unittest
import hashlib
from blockdag import build_block_dag
def _hashfunc(value):
return hashlib.sha256(value).hexdigest()
def _gen_simple_dag():
data = {
"a": {"data": 5},
"b": {"data": "potato"},
"c": {"data": [1, 2, "three", [4]]},
"d": {"not_data": 4},
}
e... | tests/test_blockdag.py | import unittest
import hashlib
from blockdag import build_block_dag
def _hashfunc(value):
return hashlib.sha256(value).hexdigest()
def _gen_simple_dag():
data = {
"a": {"data": 5},
"b": {"data": "potato"},
"c": {"data": [1, 2, "three", [4]]},
"d": {"not_data": 4},
}
e... | 0.705379 | 0.756537 |
from pathlib import Path
from typing import List
from itertools import product
import sys
import numpy as np # type: ignore
import pandas as pd # type: ignore
from src.util import (
read_parquet,
write_parquet,
WIND_DIRS,
WIND_VELS,
RAINS,
)
TIME_RANGES = {"2020": [2020], "2016-2020": [2016, 2017... | prep/s3_aggregate_data.py | from pathlib import Path
from typing import List
from itertools import product
import sys
import numpy as np # type: ignore
import pandas as pd # type: ignore
from src.util import (
read_parquet,
write_parquet,
WIND_DIRS,
WIND_VELS,
RAINS,
)
TIME_RANGES = {"2020": [2020], "2016-2020": [2016, 2017... | 0.489259 | 0.510558 |
BASIC_EBS_OFFER_SKU = 'HY3BZPP2B6K8MSJF'
BASIC_IOPS_OFFER_SKU = 'D8RDVC722HKNR55G'
BASIC_EBS_OFFER_DATA = {
'HY3BZPP2B6K8MSJF': {
'serviceCode': 'AmazonEC2',
'product': {
'productFamily': 'Storage',
'sku' : 'HY3BZPP2B6K8MSJF',
'attributes' : {
'ser... | tests/data/ebs_offer.py | BASIC_EBS_OFFER_SKU = 'HY3BZPP2B6K8MSJF'
BASIC_IOPS_OFFER_SKU = 'D8RDVC722HKNR55G'
BASIC_EBS_OFFER_DATA = {
'HY3BZPP2B6K8MSJF': {
'serviceCode': 'AmazonEC2',
'product': {
'productFamily': 'Storage',
'sku' : 'HY3BZPP2B6K8MSJF',
'attributes' : {
'ser... | 0.501221 | 0.258092 |
import networkx as nx
import numpy as np
import os
import time
import pandas as pd
from sscd import SSCD
from ssnmf import SSNMF
import scipy.sparse as ssp
"""Functions definitions"""
def generate_synthetic_graph(n_node_par_com, n_com=2, p_in=0.1, p_out=0.001):
sizes = [n_node_par_com] * n_com
g = nx.random_p... | compare_time.py | import networkx as nx
import numpy as np
import os
import time
import pandas as pd
from sscd import SSCD
from ssnmf import SSNMF
import scipy.sparse as ssp
"""Functions definitions"""
def generate_synthetic_graph(n_node_par_com, n_com=2, p_in=0.1, p_out=0.001):
sizes = [n_node_par_com] * n_com
g = nx.random_p... | 0.550366 | 0.341967 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ... import meta as _meta
__all__ = [
'CrossVersionObjectReference',
'HorizontalPodAutoscaler',
'HorizontalPodAutoscalerSpec',
'... | sdk/python/pulumi_kubernetes/autoscaling/v1/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ... import meta as _meta
__all__ = [
'CrossVersionObjectReference',
'HorizontalPodAutoscaler',
'HorizontalPodAutoscalerSpec',
'... | 0.905713 | 0.087291 |
import asyncio
import contextlib
import ipaddress
import logging
import urllib.parse
import ssl
import socket
from aiodnsresolver import (
TYPES,
DnsError,
Resolver,
ResolverLoggerAdapter,
)
class HttpError(Exception):
pass
class HttpConnectionError(HttpError):
pass
class HttpDnsError(Htt... | lowhaio.py | import asyncio
import contextlib
import ipaddress
import logging
import urllib.parse
import ssl
import socket
from aiodnsresolver import (
TYPES,
DnsError,
Resolver,
ResolverLoggerAdapter,
)
class HttpError(Exception):
pass
class HttpConnectionError(HttpError):
pass
class HttpDnsError(Htt... | 0.404743 | 0.070336 |
from dataclasses import dataclass
import numpy as np
@dataclass
class VentLine:
"""Class for storing Hydrothermal vent_line data.
The coordinates are zero-indexed!"""
x_start: int
x_end: int
y_start: int
y_end: int
def is_diagonal(self):
y_dif = abs(self.y_start - self.y_end)
... | 2021/Day 05/Src/__main__.py | from dataclasses import dataclass
import numpy as np
@dataclass
class VentLine:
"""Class for storing Hydrothermal vent_line data.
The coordinates are zero-indexed!"""
x_start: int
x_end: int
y_start: int
y_end: int
def is_diagonal(self):
y_dif = abs(self.y_start - self.y_end)
... | 0.68056 | 0.613294 |
from collections import UserDict
from datetime import datetime, timedelta, timezone
from unittest.mock import MagicMock, Mock, patch
import flask
import pytest
import requests
import responses
import main
# Create a fake "app" for generating test request contexts.
@pytest.fixture(scope="module")
def app():
ret... | functions/tips/main_test.py |
from collections import UserDict
from datetime import datetime, timedelta, timezone
from unittest.mock import MagicMock, Mock, patch
import flask
import pytest
import requests
import responses
import main
# Create a fake "app" for generating test request contexts.
@pytest.fixture(scope="module")
def app():
ret... | 0.737442 | 0.18954 |
import os
from pathlib import Path
from random import SystemRandom
import subprocess
import sys
import time
from urllib.request import pathname2url
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
gi.require_version('Gst', '1.0')
from gi.repository import Gst
VOLUME_LEVEL_PERCENT = .6
SNOOZE_... | alarm.py |
import os
from pathlib import Path
from random import SystemRandom
import subprocess
import sys
import time
from urllib.request import pathname2url
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
gi.require_version('Gst', '1.0')
from gi.repository import Gst
VOLUME_LEVEL_PERCENT = .6
SNOOZE_... | 0.354545 | 0.0704 |
import re
from bs4 import BeautifulSoup
from collections import namedtuple
from .errors import LeakedError
from .requests import get_search_results
class Provider(object):
"""Base class for all providers."""
def __init__(self, name):
self.name = name
def build_module_query_url(self, module):
... | leaked/providers.py | import re
from bs4 import BeautifulSoup
from collections import namedtuple
from .errors import LeakedError
from .requests import get_search_results
class Provider(object):
"""Base class for all providers."""
def __init__(self, name):
self.name = name
def build_module_query_url(self, module):
... | 0.621426 | 0.228834 |
import json
import time
import logging
import pandas as pd
from anytree import Node, PreOrderIter
from pandas import json_normalize
from stix_shifter.stix_translation import stix_translation
from stix_shifter.stix_transmission import stix_transmission
class StixShifterDataFrame(object):
def __init__(self):
... | pyclient/stix_shifter_dataframe.py | import json
import time
import logging
import pandas as pd
from anytree import Node, PreOrderIter
from pandas import json_normalize
from stix_shifter.stix_translation import stix_translation
from stix_shifter.stix_transmission import stix_transmission
class StixShifterDataFrame(object):
def __init__(self):
... | 0.253491 | 0.104706 |
import pickle
from abc import ABC, abstractmethod
import numpy as np
from keras.layers import Dense, Reshape
from keras.models import Sequential
from keras.regularizers import l2
import shorttext.utils.classification_exceptions as e
import shorttext.utils.kerasmodel_io as kerasio
from shorttext.utils.compactmodel_io ... | shorttext/stack/stacking.py | import pickle
from abc import ABC, abstractmethod
import numpy as np
from keras.layers import Dense, Reshape
from keras.models import Sequential
from keras.regularizers import l2
import shorttext.utils.classification_exceptions as e
import shorttext.utils.kerasmodel_io as kerasio
from shorttext.utils.compactmodel_io ... | 0.941698 | 0.61202 |
from confmodel.fields import ConfigList
from vumi.middleware import BaseMiddleware
from vumi.middleware.base import BaseMiddlewareConfig
from vumi.config import ConfigServerEndpoint
from twisted.internet import reactor
from twisted.internet.defer import inlineCallbacks
from twisted.cred import portal
from twisted.co... | vumi/middleware/manhole.py |
from confmodel.fields import ConfigList
from vumi.middleware import BaseMiddleware
from vumi.middleware.base import BaseMiddlewareConfig
from vumi.config import ConfigServerEndpoint
from twisted.internet import reactor
from twisted.internet.defer import inlineCallbacks
from twisted.cred import portal
from twisted.co... | 0.738198 | 0.065845 |
from vector_solver import IqSolver
from numpy import array, zeros
from abc import abstractmethod
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
import re
import os
import json
def l(s):
s = s.lower()
... | deprecated/PUTIq.01/PUTIq/putiq/putiq/question_processor_core.py | from vector_solver import IqSolver
from numpy import array, zeros
from abc import abstractmethod
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
import re
import os
import json
def l(s):
s = s.lower()
... | 0.590543 | 0.325279 |
import numpy as np
import logging
import warnings
class FeatureInfo:
def __init__(self):
self.name = None
# include empty
self.ma = None
# note the second last is for empty, the last is for special value
# counter
self.ctr = None
# counter for positive label
... | src/data_tool/feature.py | import numpy as np
import logging
import warnings
class FeatureInfo:
def __init__(self):
self.name = None
# include empty
self.ma = None
# note the second last is for empty, the last is for special value
# counter
self.ctr = None
# counter for positive label
... | 0.249905 | 0.320409 |
import time
classesMap = {"fresh_phys":"Freshman Physics",
"ap_phys_b":"AP Physics B",
"ap_phys_c":"AP Physics C",
"conc_chem":"Conceptual Chemistry",
"accel_chem":"Accelerated Chemistry",
"ap_chem":"AP Chemistry",
"o_chem":"Organic Chemistry",
"bio":"Biology",
"at_bio":"AT Biology",
"anat_and_phys":... | app/mshc_lib.py | import time
classesMap = {"fresh_phys":"Freshman Physics",
"ap_phys_b":"AP Physics B",
"ap_phys_c":"AP Physics C",
"conc_chem":"Conceptual Chemistry",
"accel_chem":"Accelerated Chemistry",
"ap_chem":"AP Chemistry",
"o_chem":"Organic Chemistry",
"bio":"Biology",
"at_bio":"AT Biology",
"anat_and_phys":... | 0.303629 | 0.349533 |
import os
import moxing as mox # 华为自研模块moxing，本地机器无法安装，仅可在华为云ModelArts平台上使用，
# moxing文档请查看 https://github.com/huaweicloud/ModelArts-Lab/tree/master/docs/moxing_api_doc
import tensorflow as tf
from keras import backend
from keras.optimizers import adam
from train import model_fn
def load_weights(model, weighs_file_p... | keras/baseline/src/save_model.py | import os
import moxing as mox # 华为自研模块moxing，本地机器无法安装，仅可在华为云ModelArts平台上使用，
# moxing文档请查看 https://github.com/huaweicloud/ModelArts-Lab/tree/master/docs/moxing_api_doc
import tensorflow as tf
from keras import backend
from keras.optimizers import adam
from train import model_fn
def load_weights(model, weighs_file_p... | 0.413714 | 0.145267 |
import numpy as np
import pickle
import os
from data.dataset import Dataset
from config import Config
def read_split(train_num: int, num_segmented: int, fold: int, kind: str):
fn = f"KSDD/split_{train_num}_{num_segmented}.pyb"
with open(f"splits/{fn}", "rb") as f:
train_samples, test_samples = pickle.... | data/input_ksdd.py | import numpy as np
import pickle
import os
from data.dataset import Dataset
from config import Config
def read_split(train_num: int, num_segmented: int, fold: int, kind: str):
fn = f"KSDD/split_{train_num}_{num_segmented}.pyb"
with open(f"splits/{fn}", "rb") as f:
train_samples, test_samples = pickle.... | 0.421314 | 0.307735 |
import os
import datetime
import time
#Local imports
import cfg
import rf_uart as ser
import json
import logging as log
on_broadcast = None
on_message = None
on_cmd_response = None
on_log = None
nodes_config = os.getenv('ROVER_NODES_CONFIG','D:\\Dev\\nRF52_Mesh\\applications\\nodes.json')
log.info("using ROVER_NODES_C... | rover/py_rf_serial/mesh.py | import os
import datetime
import time
#Local imports
import cfg
import rf_uart as ser
import json
import logging as log
on_broadcast = None
on_message = None
on_cmd_response = None
on_log = None
nodes_config = os.getenv('ROVER_NODES_CONFIG','D:\\Dev\\nRF52_Mesh\\applications\\nodes.json')
log.info("using ROVER_NODES_C... | 0.218003 | 0.240786 |
import unittest
# Third party packages
pass
# Local packages
from ccat.model.exchange.order import Order
'''
------------------------------------------------------------------------
CLASSES
------------------------------------------------------------------------
'''
class Test_model_exchange_order(unittest.Te... | test/LEGACY_test_ccat_model_exchange_order.py | import unittest
# Third party packages
pass
# Local packages
from ccat.model.exchange.order import Order
'''
------------------------------------------------------------------------
CLASSES
------------------------------------------------------------------------
'''
class Test_model_exchange_order(unittest.Te... | 0.237046 | 0.327158 |
import unittest
import gdal
import numpy as np
from fire_rs.geodata.environment import World, CORINELANDCOVER_TO_FUELMODEL_REMAP
class WorldTest(unittest.TestCase):
def setUp(self):
pass
def test_get_elevation(self):
world = World()
world.get_elevation([475060.0, 6200074.0])
... | python/fire_rs/geodata/test_environment.py |
import unittest
import gdal
import numpy as np
from fire_rs.geodata.environment import World, CORINELANDCOVER_TO_FUELMODEL_REMAP
class WorldTest(unittest.TestCase):
def setUp(self):
pass
def test_get_elevation(self):
world = World()
world.get_elevation([475060.0, 6200074.0])
... | 0.579995 | 0.524029 |
import argparse
import base64
import json
import logging
import re
import subprocess
import sys
import tty
from datetime import datetime, timedelta
from os import path
from time import sleep, time
import feedparser as fp
import requests
import termios
NAME = 'gh-watch.py'
TIMEOUT = 10
RETRY = 30
SEARCH_API_BASE =... | gh-watch.py |
import argparse
import base64
import json
import logging
import re
import subprocess
import sys
import tty
from datetime import datetime, timedelta
from os import path
from time import sleep, time
import feedparser as fp
import requests
import termios
NAME = 'gh-watch.py'
TIMEOUT = 10
RETRY = 30
SEARCH_API_BASE =... | 0.269902 | 0.095518 |
import random
import geomstats.backend as gs
from geomstats.geometry.stratified.spider import Spider, SpiderMetric, SpiderPoint
from tests.data_generation import (
_PointMetricTestData,
_PointSetTestData,
_PointTestData,
)
class SpiderTestData(_PointSetTestData):
_Point = SpiderPoint
_PointSet =... | tests/data/spider_data.py | import random
import geomstats.backend as gs
from geomstats.geometry.stratified.spider import Spider, SpiderMetric, SpiderPoint
from tests.data_generation import (
_PointMetricTestData,
_PointSetTestData,
_PointTestData,
)
class SpiderTestData(_PointSetTestData):
_Point = SpiderPoint
_PointSet =... | 0.679285 | 0.763374 |
import os
import sys
import json
import requests
from tabulate import tabulate
import textwrap
import yaml
import argparse
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument("--config", action="store", dest="config_file", default="/opt/yair/config/config.yaml",
help="Config file location. Defaults to ... | yair.py | import os
import sys
import json
import requests
from tabulate import tabulate
import textwrap
import yaml
import argparse
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument("--config", action="store", dest="config_file", default="/opt/yair/config/config.yaml",
help="Config file location. Defaults to ... | 0.156652 | 0.077134 |
from __future__ import unicode_literals
import logging
from ...docker_api import INSECURE_REGISTRIES
from ..action import ImageAction
from ..input import ItemType
from .utils import update_kwargs
log = logging.getLogger(__name__)
def _check_insecure_registry(kwargs):
insecure_registry = kwargs.pop('insecure_re... | dockermap/map/runner/image.py | from __future__ import unicode_literals
import logging
from ...docker_api import INSECURE_REGISTRIES
from ..action import ImageAction
from ..input import ItemType
from .utils import update_kwargs
log = logging.getLogger(__name__)
def _check_insecure_registry(kwargs):
insecure_registry = kwargs.pop('insecure_re... | 0.590189 | 0.065455 |
import unittest
from carball.analysis.analysis_manager import AnalysisManager
from carball.tests.utils import run_analysis_test_on_replay, get_specific_replays, get_specific_answers, \
assertNearlyEqual, get_raw_replays
class Test_Boost():
def test_1_small_pad_collected(self, replay_cache):
def tes... | carball/tests/stats/boost_test.py | import unittest
from carball.analysis.analysis_manager import AnalysisManager
from carball.tests.utils import run_analysis_test_on_replay, get_specific_replays, get_specific_answers, \
assertNearlyEqual, get_raw_replays
class Test_Boost():
def test_1_small_pad_collected(self, replay_cache):
def tes... | 0.505615 | 0.429908 |
try:
import matplotlib.pyplot as plt
from matplotlib import gridspec
except ImportError: # mpl is optional
pass
import numpy as np
from pymc3.diagnostics import gelman_rubin
from pymc3.stats import quantiles, hpd, dict2pd
from .utils import identity_transform, get_default_varnames
def _var_str(name, shape... | pymc3/plots/forestplot.py | try:
import matplotlib.pyplot as plt
from matplotlib import gridspec
except ImportError: # mpl is optional
pass
import numpy as np
from pymc3.diagnostics import gelman_rubin
from pymc3.stats import quantiles, hpd, dict2pd
from .utils import identity_transform, get_default_varnames
def _var_str(name, shape... | 0.810479 | 0.674107 |
import numpy as np
import cv2
import os
import random
import pandas as pd
class ImageDataLoader():
def __init__(self, data_path, gt_path, shuffle=False, batch_size = 1):
self.data_path = data_path
self.gt_path = gt_path
self.batch_size = batch_size
self.data_files = [filename for f... | architecture/data_loader.py | import numpy as np
import cv2
import os
import random
import pandas as pd
class ImageDataLoader():
def __init__(self, data_path, gt_path, shuffle=False, batch_size = 1):
self.data_path = data_path
self.gt_path = gt_path
self.batch_size = batch_size
self.data_files = [filename for f... | 0.177954 | 0.164785 |
import redis
import json
from utils.get_configure import env_file_conf
from utils.apollo_handler import apollo_envs_conf, apo_client
from utils.console_logger import Logger
log = Logger()
logger = log.get_logger()
def redis_conf(apollo_client,):
"""
从apollo获取缓存配置
:return: dict
"""
... | utils/redis_handler.py |
import redis
import json
from utils.get_configure import env_file_conf
from utils.apollo_handler import apollo_envs_conf, apo_client
from utils.console_logger import Logger
log = Logger()
logger = log.get_logger()
def redis_conf(apollo_client,):
"""
从apollo获取缓存配置
:return: dict
"""
... | 0.339828 | 0.092319 |
from . import db
from . import login_manager
from flask_login import UserMixin
from werkzeug.security import generate_password_hash,check_password_hash
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMixin,db.Model):
__tablen... | app/models.py | from . import db
from . import login_manager
from flask_login import UserMixin
from werkzeug.security import generate_password_hash,check_password_hash
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMixin,db.Model):
__tablen... | 0.378804 | 0.047936 |
import azure.cognitiveservices.speech as speechsdk
import sys
import re
import io
def transcribe_streaming(stream_file, result_file):
"""Streams transcription of the given audio file."""
import time
# Microsoft authentication - add your API key on the line below. Using 'uksouth' as I am in the UK.
... | asr-msoft/transcribe-azure.py | import azure.cognitiveservices.speech as speechsdk
import sys
import re
import io
def transcribe_streaming(stream_file, result_file):
"""Streams transcription of the given audio file."""
import time
# Microsoft authentication - add your API key on the line below. Using 'uksouth' as I am in the UK.
... | 0.499756 | 0.232288 |
import os
import pickle
import numpy as np
from vbdiar.features.segments import get_time_from_frames
from vbdiar.utils import mkdir_p
def extract_embeddings(features_dict, embedding_extractor):
""" Extract embeddings from multiple segments.
Args:
features_dict (Dict): dictionary with segment range ... | vbdiar/embeddings/embedding.py |
import os
import pickle
import numpy as np
from vbdiar.features.segments import get_time_from_frames
from vbdiar.utils import mkdir_p
def extract_embeddings(features_dict, embedding_extractor):
""" Extract embeddings from multiple segments.
Args:
features_dict (Dict): dictionary with segment range ... | 0.782829 | 0.29419 |
import csv
import os
import platform
import sys
from os import listdir
from pathlib import Path
import pdfkit
from jinja2 import Template
MAC_ALIAS = 'macos'
WIN_ALIAS = 'win'
OS_MAPPING = {
'Darwin': MAC_ALIAS,
'Windows': WIN_ALIAS
}
ARCH_MAPPING = {
MAC_ALIAS: {
'64bit': '64'
},
WIN_AL... | safaricsv2pdf.py | import csv
import os
import platform
import sys
from os import listdir
from pathlib import Path
import pdfkit
from jinja2 import Template
MAC_ALIAS = 'macos'
WIN_ALIAS = 'win'
OS_MAPPING = {
'Darwin': MAC_ALIAS,
'Windows': WIN_ALIAS
}
ARCH_MAPPING = {
MAC_ALIAS: {
'64bit': '64'
},
WIN_AL... | 0.257859 | 0.098469 |
__version__ = "0.3.3"
__author__ = "<NAME>"
__license__ = "MIT"
import click
from gitx import Gitx
CONTEXT_SETTINGS = dict(help_option_names=['-h'])
@click.command(short_help="Add file contents to the index")
@click.argument("pathspec", nargs=-1, metavar='<pathspec>')
@click.option("-x", '--exclude',
... | cli.py | __version__ = "0.3.3"
__author__ = "<NAME>"
__license__ = "MIT"
import click
from gitx import Gitx
CONTEXT_SETTINGS = dict(help_option_names=['-h'])
@click.command(short_help="Add file contents to the index")
@click.argument("pathspec", nargs=-1, metavar='<pathspec>')
@click.option("-x", '--exclude',
... | 0.560253 | 0.236748 |
import logging
import json
from typing import Optional
from datetime import timedelta
import voluptuous as vol
from homeassistant.core import callback
from homeassistant.components import sensor
from homeassistant.components.mqtt import (
ATTR_DISCOVERY_HASH,
CONF_QOS,
CONF_STATE_TOPIC,
MqttAttributes,... | homeassistant/components/ais_device_search_mqtt/sensor.py | import logging
import json
from typing import Optional
from datetime import timedelta
import voluptuous as vol
from homeassistant.core import callback
from homeassistant.components import sensor
from homeassistant.components.mqtt import (
ATTR_DISCOVERY_HASH,
CONF_QOS,
CONF_STATE_TOPIC,
MqttAttributes,... | 0.661923 | 0.051296 |
import wx
from wxueye.wxVidWindow import wxVidWindow
from wxueye.wxVidConfig import wxVidConfig
import ueye
# begin wxGlade: extracode
# end wxGlade
class wxVidFrame(wx.Frame):
def __init__(self, *args, **kwds):
# begin wxGlade: wxVidFrame.__init__
kwds["style"] = wx.DEFAULT_FRAME_STYLE
... | wxVidCap.py |
import wx
from wxueye.wxVidWindow import wxVidWindow
from wxueye.wxVidConfig import wxVidConfig
import ueye
# begin wxGlade: extracode
# end wxGlade
class wxVidFrame(wx.Frame):
def __init__(self, *args, **kwds):
# begin wxGlade: wxVidFrame.__init__
kwds["style"] = wx.DEFAULT_FRAME_STYLE
... | 0.274157 | 0.041327 |
__author__ = 'wenqihe'
from SVM import SVM
class MulticlassSVM:
def __init__(self, feature_size, label_size, lambda_reg=0.1, max_iter=5000, mode='ova'):
self._feature_size = feature_size
self._label_size = label_size
self._lambda_reg = lambda_reg
self._max_iter = max_iter
... | code/Classifier/MulticlassSVM.py | __author__ = 'wenqihe'
from SVM import SVM
class MulticlassSVM:
def __init__(self, feature_size, label_size, lambda_reg=0.1, max_iter=5000, mode='ova'):
self._feature_size = feature_size
self._label_size = label_size
self._lambda_reg = lambda_reg
self._max_iter = max_iter
... | 0.303113 | 0.272157 |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import csv342 as csv
from django.core.management import BaseCommand
from corehq.apps.hqcase.utils import bulk_update_cases
from corehq.form_processor.interfaces.dbaccessors import CaseAccessors
from ... | corehq/apps/case_importer/management/commands/update_case_property.py | from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import csv342 as csv
from django.core.management import BaseCommand
from corehq.apps.hqcase.utils import bulk_update_cases
from corehq.form_processor.interfaces.dbaccessors import CaseAccessors
from ... | 0.404978 | 0.109515 |
import boto
from boto.sqs.message import Message
import boto.ec2
import os
import cPickle as pickle
import subprocess
import shlex
import time
import logging
import socket
HOSTNAME = str.join('_', socket.gethostname().split('.'))
FUSE_MOUNT = "/tmp/snowflake"
SERVER_DIR = "/tmp/snowflake_server"
logging.getLogger('... | utils/aws.py |
import boto
from boto.sqs.message import Message
import boto.ec2
import os
import cPickle as pickle
import subprocess
import shlex
import time
import logging
import socket
HOSTNAME = str.join('_', socket.gethostname().split('.'))
FUSE_MOUNT = "/tmp/snowflake"
SERVER_DIR = "/tmp/snowflake_server"
logging.getLogger('... | 0.173148 | 0.054024 |
import util
def print_field_order(roots, stats_file, args):
data = {}
cond_list = args['prefix'][:]
r = util.collectByAttribute(roots, cond_list, "fieldn", ["sz"])
stats_file.write("\t<fieldOrderByName>\n")
for k,v in r.items():
#k: main_attrib
#v: [text, [other_attribs]]
#count distinct of text
orders = ... | powerstation/command_line_tool/controller_model_analysis/collect_status/print_field_stats.py | import util
def print_field_order(roots, stats_file, args):
data = {}
cond_list = args['prefix'][:]
r = util.collectByAttribute(roots, cond_list, "fieldn", ["sz"])
stats_file.write("\t<fieldOrderByName>\n")
for k,v in r.items():
#k: main_attrib
#v: [text, [other_attribs]]
#count distinct of text
orders = ... | 0.063193 | 0.152127 |
import enum
from dataclasses import dataclass, replace
from simple_parsing import Serializable
# NOTE(ycho): Required for dealing with `enum` registration
from simple_parsing.helpers.serialization import encode, register_decoding_fn
import torch as th
from top.data.colored_cube_dataset import ColoredCubeDataset
from ... | src/top/data/load.py |
import enum
from dataclasses import dataclass, replace
from simple_parsing import Serializable
# NOTE(ycho): Required for dealing with `enum` registration
from simple_parsing.helpers.serialization import encode, register_decoding_fn
import torch as th
from top.data.colored_cube_dataset import ColoredCubeDataset
from ... | 0.623835 | 0.379551 |
import pyodbc
from pyodbc import * # Make globals and exceptions visible in this module per PEP 249
def connect(
host,
port=443,
database="default",
http_path=None,
token=None,
user=None,
password=None,
driver_path=None,
**kwargs,
):
"""Create an ODBC DBAPI connection to a Dat... | databricks_dbapi/odbc.py | import pyodbc
from pyodbc import * # Make globals and exceptions visible in this module per PEP 249
def connect(
host,
port=443,
database="default",
http_path=None,
token=None,
user=None,
password=None,
driver_path=None,
**kwargs,
):
"""Create an ODBC DBAPI connection to a Dat... | 0.739799 | 0.198627 |
import os
from .user import fun_user
from .command import log
import json
async def fun_init_server(message, string_dir, client) :
#STRING_DIR_NEW_S = os.path.abspath(os.path.join(sys.path[0], '..')) + '\\files\\servers'
log(message, '[log][INIT] ####################')
log(message, '[log][INIT] НАЧАЛО ИН... | old/src/src/init.py | import os
from .user import fun_user
from .command import log
import json
async def fun_init_server(message, string_dir, client) :
#STRING_DIR_NEW_S = os.path.abspath(os.path.join(sys.path[0], '..')) + '\\files\\servers'
log(message, '[log][INIT] ####################')
log(message, '[log][INIT] НАЧАЛО ИН... | 0.119139 | 0.118538 |
import sys
sys.path.append(r'../shared')
from numpy import *
from geo import *
from grid_3d import *
from statistics import *
from matplotlib import *
from pylab import *
from gslib import *
# ---------------------------------------------------
# Problem:
#
# Perform declustering and determine the rep... | src/sample-scripts/solved_problems/4.2. Bootstrap and Spatial Bootstrap/2_bootstrap.py |
import sys
sys.path.append(r'../shared')
from numpy import *
from geo import *
from grid_3d import *
from statistics import *
from matplotlib import *
from pylab import *
from gslib import *
# ---------------------------------------------------
# Problem:
#
# Perform declustering and determine the rep... | 0.329715 | 0.363647 |
import argparse
import datetime
import gym
import numpy as np
import itertools
import sys
sys.path.insert(0, '..')
from torch.utils.tensorboard import SummaryWriter
from collections import namedtuple
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.optim import Adam
from torch.utils.... | skeleton_graph_vae/train_vae.py | import argparse
import datetime
import gym
import numpy as np
import itertools
import sys
sys.path.insert(0, '..')
from torch.utils.tensorboard import SummaryWriter
from collections import namedtuple
import torch
import torch.nn as nn
from torch.nn import functional as F
from torch.optim import Adam
from torch.utils.... | 0.630344 | 0.159217 |
import array
import bz2
from django.db import models
from django.core.exceptions import ImproperlyConfigured
from django.utils.translation import ugettext_lazy as _
class AutoGrowingList(list):
""" A class to hold auto growing lists with a configurable index offset """
EMPTY = -1
INDEX_OFFSET = 1
de... | compressedlistfield/fields.py | import array
import bz2
from django.db import models
from django.core.exceptions import ImproperlyConfigured
from django.utils.translation import ugettext_lazy as _
class AutoGrowingList(list):
""" A class to hold auto growing lists with a configurable index offset """
EMPTY = -1
INDEX_OFFSET = 1
de... | 0.477311 | 0.171859 |
import discord
import re
from typing import Callable, ClassVar, List, Optional, Pattern, Sequence, Tuple, Union, cast
from discord.ext import commands
class MessagePredicate(Callable[[discord.Message], bool]):
def __init__(self, predicate: Callable[["MessagePredicate", discord.Message], bool]) -> None:
sel... | src/utilities/helpers/qrgenerator.py | import discord
import re
from typing import Callable, ClassVar, List, Optional, Pattern, Sequence, Tuple, Union, cast
from discord.ext import commands
class MessagePredicate(Callable[[discord.Message], bool]):
def __init__(self, predicate: Callable[["MessagePredicate", discord.Message], bool]) -> None:
sel... | 0.917377 | 0.294507 |
import pytest
from argsloader.base import ParseError, SkippedParseError, MultipleParseError, PValue, wrap_exception, \
wrap_exception_class
@pytest.mark.unittest
class TestBaseException:
def test_parse_error(self):
e = ParseError('This is message', 233, PValue(444, ('a', 0)), {'a': 1})
assert... | test/base/test_exception.py | import pytest
from argsloader.base import ParseError, SkippedParseError, MultipleParseError, PValue, wrap_exception, \
wrap_exception_class
@pytest.mark.unittest
class TestBaseException:
def test_parse_error(self):
e = ParseError('This is message', 233, PValue(444, ('a', 0)), {'a': 1})
assert... | 0.551091 | 0.574544 |
import qt
import slicer
import vtk
from RVXLiverSegmentationLib import SegmentWidget, createButton, GeometryExporter, NodeBranches, removeNodeFromMRMLScene
class VesselSegmentEditWidget(SegmentWidget):
"""
Class responsible for editing the vessel automatic segmentation
"""
def __init__(self, logic, treeWiza... | RVXLiverSegmentation/RVXLiverSegmentationLib/VesselSegmentEditWidget.py | import qt
import slicer
import vtk
from RVXLiverSegmentationLib import SegmentWidget, createButton, GeometryExporter, NodeBranches, removeNodeFromMRMLScene
class VesselSegmentEditWidget(SegmentWidget):
"""
Class responsible for editing the vessel automatic segmentation
"""
def __init__(self, logic, treeWiza... | 0.671901 | 0.213418 |
import itertools
import weetest
def TestCycle():
want = []
got = []
for x in itertools.cycle(()):
got.append(x)
assert got == want, 'empty cycle yields no elements'
arg = (0, 1, 2)
want = (0, 1, 2) * 10
got = []
limit = 10 * len(arg)
counter = 0
for x in itertools.cycle((0, 1, 2)):
got... | lib/itertools_test.py |
import itertools
import weetest
def TestCycle():
want = []
got = []
for x in itertools.cycle(()):
got.append(x)
assert got == want, 'empty cycle yields no elements'
arg = (0, 1, 2)
want = (0, 1, 2) * 10
got = []
limit = 10 * len(arg)
counter = 0
for x in itertools.cycle((0, 1, 2)):
got... | 0.301773 | 0.462048 |
from pathlib import Path
from tifffile import TiffFile
from wsireg.reg_images import (
CziRegImage,
SitkRegImage,
NumpyRegImage,
# AICSRegImage,
)
from wsireg.utils.im_utils import (
TIFFFILE_EXTS,
ARRAYLIKE_CLASSES,
tifffile_to_arraylike,
ome_tifffile_to_arraylike,
)
def reg_image_loa... | wsireg/reg_images/loader.py | from pathlib import Path
from tifffile import TiffFile
from wsireg.reg_images import (
CziRegImage,
SitkRegImage,
NumpyRegImage,
# AICSRegImage,
)
from wsireg.utils.im_utils import (
TIFFFILE_EXTS,
ARRAYLIKE_CLASSES,
tifffile_to_arraylike,
ome_tifffile_to_arraylike,
)
def reg_image_loa... | 0.554229 | 0.275002 |
import json
import traceback
from mod_recent_stat_config_main import ConfigMain
from mod_recent_stat_config_wg_id import ConfigWgId
from mod_recent_stat_container import PlayerData
from mod_recent_stat_converter import formatBattlesToKiloBattles, getXWN8, isPlayerFake
from mod_recent_stat_logging import logError
from... | src/scripts/client/gui/mods/mod_recent_stat_wg_stats.py |
import json
import traceback
from mod_recent_stat_config_main import ConfigMain
from mod_recent_stat_config_wg_id import ConfigWgId
from mod_recent_stat_container import PlayerData
from mod_recent_stat_converter import formatBattlesToKiloBattles, getXWN8, isPlayerFake
from mod_recent_stat_logging import logError
from... | 0.437824 | 0.121295 |
from collections import deque
import simpy
from simulator.core.DtnCore import Simulable
class DtnLockException(Exception):
pass
class DtnLock(Simulable):
""" This class implements a traditional lock in the Simpy world.
In this version, there are not priorities.
Usage examples:
... | simulator/core/DtnLock.py |
from collections import deque
import simpy
from simulator.core.DtnCore import Simulable
class DtnLockException(Exception):
pass
class DtnLock(Simulable):
""" This class implements a traditional lock in the Simpy world.
In this version, there are not priorities.
Usage examples:
... | 0.714927 | 0.296158 |
""" didispeech-2 dataset
"""
import os
import re
import sys
import tarfile
import tempfile
import inflect
import codecs
import pandas
from absl import logging
from sklearn.model_selection import train_test_split
from absl import logging
from unidecode import unidecode
import tensorflow as tf
from athena import get_wav... | examples/asr/didispeech-2/local/prepare_data.py | """ didispeech-2 dataset
"""
import os
import re
import sys
import tarfile
import tempfile
import inflect
import codecs
import pandas
from absl import logging
from sklearn.model_selection import train_test_split
from absl import logging
from unidecode import unidecode
import tensorflow as tf
from athena import get_wav... | 0.201577 | 0.232288 |
import cv2
import numpy as np
print(cv2.__version__)
def crop_minAreaRect(img, rect):
# rotate img
angle = rect[2]
rows,cols = img.shape[0], img.shape[1]
M = cv2.getRotationMatrix2D((cols/2,rows/2),angle,1)
img_rot = cv2.warpAffine(img,M,(cols,rows))
# rotate bounding box
rect0 = (rect[0]... | old/test_rect.py | import cv2
import numpy as np
print(cv2.__version__)
def crop_minAreaRect(img, rect):
# rotate img
angle = rect[2]
rows,cols = img.shape[0], img.shape[1]
M = cv2.getRotationMatrix2D((cols/2,rows/2),angle,1)
img_rot = cv2.warpAffine(img,M,(cols,rows))
# rotate bounding box
rect0 = (rect[0]... | 0.160529 | 0.412471 |
from flask import render_template, request, redirect, url_for, abort ,flash
from ..models import User,Blog,Comment,Subscriber
from flask_login import login_required, current_user
from ..email import mail_message
from .forms import UpdateProfile,Blogs
from .. import db,photos
from . import main
import markdown2
from ... | app/main/views.py | from flask import render_template, request, redirect, url_for, abort ,flash
from ..models import User,Blog,Comment,Subscriber
from flask_login import login_required, current_user
from ..email import mail_message
from .forms import UpdateProfile,Blogs
from .. import db,photos
from . import main
import markdown2
from ... | 0.361052 | 0.056757 |