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 torch
import torch.nn as nn
import math
from eod.utils.model import accuracy as A # noqa F401
from eod.utils.model.initializer import initialize_from_cfg
from eod.utils.general.registry_factory import MODULE_ZOO_REGISTRY
from eod.tasks.det.plugins.yolox.models.backbone.cspdarknet import DWConv
from eod.tasks.d... | eod/tasks/det/plugins/yolox/models/head/yolox_head.py | import torch
import torch.nn as nn
import math
from eod.utils.model import accuracy as A # noqa F401
from eod.utils.model.initializer import initialize_from_cfg
from eod.utils.general.registry_factory import MODULE_ZOO_REGISTRY
from eod.tasks.det.plugins.yolox.models.backbone.cspdarknet import DWConv
from eod.tasks.d... | 0.921056 | 0.233794 |
import numpy as np
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/")
n_epochs = 400
batch_size = 50
learning_rate = 0.01
n_inputs = 28 * 28
n_hidden1 = 300
n_hidden2 = 200
n_outputs = 10
X = tf.placeholder(tf.float32, shape=(None, n_... | 06_dnn_plain_tf_api/train.py |
import numpy as np
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/")
n_epochs = 400
batch_size = 50
learning_rate = 0.01
n_inputs = 28 * 28
n_hidden1 = 300
n_hidden2 = 200
n_outputs = 10
X = tf.placeholder(tf.float32, shape=(None, n_... | 0.666062 | 0.49762 |
import sys
import os
#sys.setdefaultencoding("utf-8")
from sqlalchemy import Table
from yaml import load
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader
print("Using Python SafeLoader")
def importyaml(connection,metadata,sourcePath,language='en'):
print("Importi... | tableloader/tableFunctions/npccorporations.py | import sys
import os
#sys.setdefaultencoding("utf-8")
from sqlalchemy import Table
from yaml import load
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader
print("Using Python SafeLoader")
def importyaml(connection,metadata,sourcePath,language='en'):
print("Importi... | 0.095867 | 0.065128 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
import pandas
import ray.dataframe as pd
from ray.dataframe.utils import (
to_pandas,
from_pandas
)
@pytest.fixture
def ray_df_equals_pandas(ray_df, pandas_df):
return to_pandas(ray_... | python/ray/dataframe/test/test_concat.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
import pandas
import ray.dataframe as pd
from ray.dataframe.utils import (
to_pandas,
from_pandas
)
@pytest.fixture
def ray_df_equals_pandas(ray_df, pandas_df):
return to_pandas(ray_... | 0.816077 | 0.619673 |
from torchvision import datasets, transforms
import numpy as np
from numpy.random import RandomState
def download_MNIST(use_training_set=False):
"""
Use Torchvision datasets and transform to a float WxHxD tensor.
In the case of MNIST, we have a 28x28x1 tensor
Args:
use_training_set: If true,... | BitsBack/datasets.py | from torchvision import datasets, transforms
import numpy as np
from numpy.random import RandomState
def download_MNIST(use_training_set=False):
"""
Use Torchvision datasets and transform to a float WxHxD tensor.
In the case of MNIST, we have a 28x28x1 tensor
Args:
use_training_set: If true,... | 0.937975 | 0.735262 |
import random
from user import User
from credentials import Credentials
# Functions to add credentials
def create_new_credential(site_name,account_name, account_password):
"""Function to create a new account and its credentials"""
new_credential = Credentials(site_name,account_name, account_password)
re... | run.py |
import random
from user import User
from credentials import Credentials
# Functions to add credentials
def create_new_credential(site_name,account_name, account_password):
"""Function to create a new account and its credentials"""
new_credential = Credentials(site_name,account_name, account_password)
re... | 0.280715 | 0.097907 |
import unittest
class Solution:
@staticmethod
def checkValidString(s: str) -> bool:
"""
Given a string containing only three types of characters: '(', ')' and '*', write a function to check whether
this string is valid. We define the validity of a string by these rules:
Any l... | python/valid_parenthesis_string.py | import unittest
class Solution:
@staticmethod
def checkValidString(s: str) -> bool:
"""
Given a string containing only three types of characters: '(', ')' and '*', write a function to check whether
this string is valid. We define the validity of a string by these rules:
Any l... | 0.812459 | 0.778186 |
import glob
import logging
import os
import sys
import pyauto_functional # must be imported before pyauto
import pyauto
class ExtensionsPage(object):
"""Access options in extensions page (chrome://extensions-frame)."""
_URL = 'chrome://extensions-frame'
def __init__(self, driver):
self._driver = driver
... | chrome/test/functional/extensions.py | import glob
import logging
import os
import sys
import pyauto_functional # must be imported before pyauto
import pyauto
class ExtensionsPage(object):
"""Access options in extensions page (chrome://extensions-frame)."""
_URL = 'chrome://extensions-frame'
def __init__(self, driver):
self._driver = driver
... | 0.685318 | 0.102215 |
from gauged.drivers import parse_dsn, SQLiteDriver
from .test_case import TestCase
class TestDSN(TestCase):
'''Test the driver functions'''
def test_stripping_dialect_from_schema(self):
driver = parse_dsn('sqlite+foobar://')[0]
self.assertIs(driver, SQLiteDriver)
def test_unknown_driver... | test/test_dsn.py | from gauged.drivers import parse_dsn, SQLiteDriver
from .test_case import TestCase
class TestDSN(TestCase):
'''Test the driver functions'''
def test_stripping_dialect_from_schema(self):
driver = parse_dsn('sqlite+foobar://')[0]
self.assertIs(driver, SQLiteDriver)
def test_unknown_driver... | 0.536313 | 0.476032 |
# 执行用时：40 ms, 在所有 Python3 提交中击败了91.95%的用户
# 内存消耗：13.7 MB, 在所有 Python3 提交中击败了46.93%的用户
class Solution:
def rotateRight(self, head: ListNode, k: int) -> ListNode:
if head==None:
return
if head.next==None:
return head
if k<0:
print(" k is negative number.")... | leetCode_Q61_rotateRight.py |
# 执行用时：40 ms, 在所有 Python3 提交中击败了91.95%的用户
# 内存消耗：13.7 MB, 在所有 Python3 提交中击败了46.93%的用户
class Solution:
def rotateRight(self, head: ListNode, k: int) -> ListNode:
if head==None:
return
if head.next==None:
return head
if k<0:
print(" k is negative number.")... | 0.228587 | 0.29537 |
from django.test import TestCase, Client
from rest_framework.test import force_authenticate, APIRequestFactory
from django.urls import reverse
import json
from users.models import User
from users.views import UsersList
class TestProfile(TestCase):
""" class to test the user models """
def setUp(self):
... | formoms/users/tests.py | from django.test import TestCase, Client
from rest_framework.test import force_authenticate, APIRequestFactory
from django.urls import reverse
import json
from users.models import User
from users.views import UsersList
class TestProfile(TestCase):
""" class to test the user models """
def setUp(self):
... | 0.669529 | 0.208945 |
import sys
import uuid
from xrt_binding import * # found in PYTHONPATH
from ert_binding import * # found in PYTHONPATH
sys.path.append('../') # utils_binding.py
from utils_binding import *
XHELLO_HELLO_CONTROL_ADDR_AP_CTRL = 0x00
XHELLO_HELLO_CONTROL_ADDR_GIE = 0x04
XHELLO_HELLO_CONTROL_ADDR_IER = 0x08
XHELLO_HELLO_CO... | tests/python/22_verify/22_verify.py | import sys
import uuid
from xrt_binding import * # found in PYTHONPATH
from ert_binding import * # found in PYTHONPATH
sys.path.append('../') # utils_binding.py
from utils_binding import *
XHELLO_HELLO_CONTROL_ADDR_AP_CTRL = 0x00
XHELLO_HELLO_CONTROL_ADDR_GIE = 0x04
XHELLO_HELLO_CONTROL_ADDR_IER = 0x08
XHELLO_HELLO_CO... | 0.199542 | 0.090695 |
# pylint: disable=broad-except,invalid-name
import os
import sys
import json
import argparse
from install import download_file
from install import register_file
from install import clai_installed
from install import register_the_user
from install import append_setup_to_file
from install import install_orchestration
f... | develop.py |
# pylint: disable=broad-except,invalid-name
import os
import sys
import json
import argparse
from install import download_file
from install import register_file
from install import clai_installed
from install import register_the_user
from install import append_setup_to_file
from install import install_orchestration
f... | 0.232571 | 0.101991 |
import builtins
import datetime
from files_sdk.api import Api
from files_sdk.list_obj import ListObj
from files_sdk.exceptions import InvalidParameterError, MissingParameterError, NotImplementedError
class InboxRecipient:
default_attributes = {
'company': None, # string - The recipient's company.
... | files_sdk/models/inbox_recipient.py | import builtins
import datetime
from files_sdk.api import Api
from files_sdk.list_obj import ListObj
from files_sdk.exceptions import InvalidParameterError, MissingParameterError, NotImplementedError
class InboxRecipient:
default_attributes = {
'company': None, # string - The recipient's company.
... | 0.609059 | 0.171755 |
import allure
import pytest
pytestmark = [pytest.mark.client_connectivity, pytest.mark.nat, pytest.mark.enterprise, pytest.mark.ttls,
pytest.mark.ucentral, pytest.mark.sanity] #pytest.mark.usefixtures("setup_test_run"),
setup_params_enterprise = {
"mode": "NAT",
"ssid_modes": {
"wpa_ente... | tests/e2e/basic/validation_of_operating_modes/nat_mode/client_connectivity/test_enterprise_ttls.py | import allure
import pytest
pytestmark = [pytest.mark.client_connectivity, pytest.mark.nat, pytest.mark.enterprise, pytest.mark.ttls,
pytest.mark.ucentral, pytest.mark.sanity] #pytest.mark.usefixtures("setup_test_run"),
setup_params_enterprise = {
"mode": "NAT",
"ssid_modes": {
"wpa_ente... | 0.19729 | 0.46794 |
import pandas as pd
from sklearn.model_selection import train_test_split
import numpy as np
from collections import Counter
import tensorflow as tf
import os
import pickle
import re
from tensorflow.python.ops import math_ops
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tq... | movie_recommender.py | import pandas as pd
from sklearn.model_selection import train_test_split
import numpy as np
from collections import Counter
import tensorflow as tf
import os
import pickle
import re
from tensorflow.python.ops import math_ops
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tq... | 0.367724 | 0.211335 |
import rospy
from mavros_msgs.msg import PositionTarget
from geometry_msgs.msg import PoseStamped, Point
from arion.offboard import OffboardControl
from arion.subscriber.point_subscriber import PointSubscriber
from arion.subscriber.position_subscriber import CurrentPositionSubscriber
class PositionControlRawNode(Off... | src/arion/node/position_control_raw_node.py | import rospy
from mavros_msgs.msg import PositionTarget
from geometry_msgs.msg import PoseStamped, Point
from arion.offboard import OffboardControl
from arion.subscriber.point_subscriber import PointSubscriber
from arion.subscriber.position_subscriber import CurrentPositionSubscriber
class PositionControlRawNode(Off... | 0.463687 | 0.081301 |
import necrobot.exception
from necrobot.botbase import server
from necrobot.database import userdb
from necrobot.util import console
from necrobot.user.necrouser import NecroUser
from necrobot.user.userprefs import UserPrefs
# Libraries of checked out users
user_library_by_uid = {}
user_library_by_did = {}
user_libra... | necrobot/user/userlib.py | import necrobot.exception
from necrobot.botbase import server
from necrobot.database import userdb
from necrobot.util import console
from necrobot.user.necrouser import NecroUser
from necrobot.user.userprefs import UserPrefs
# Libraries of checked out users
user_library_by_uid = {}
user_library_by_did = {}
user_libra... | 0.473657 | 0.074736 |
import numpy as np
from scipy.optimize import fmin_slsqp
import statsmodels.base.l1_solvers_common as l1_solvers_common
def fit_l1_slsqp(
f, score, start_params, args, kwargs, disp=False, maxiter=1000,
callback=None, retall=False, full_output=False, hess=None):
"""
Solve the l1 regularized pro... | statsmodels/base/l1_slsqp.py | import numpy as np
from scipy.optimize import fmin_slsqp
import statsmodels.base.l1_solvers_common as l1_solvers_common
def fit_l1_slsqp(
f, score, start_params, args, kwargs, disp=False, maxiter=1000,
callback=None, retall=False, full_output=False, hess=None):
"""
Solve the l1 regularized pro... | 0.785884 | 0.523055 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl import app
from absl import flags
from absl import logging
from PIL import ImageColor
import atlasmaker_io
import convert
import montage
import parallelize
# DEFAULT settings
_DEFAULT_COL... | facets_atlasmaker/atlasmaker.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl import app
from absl import flags
from absl import logging
from PIL import ImageColor
import atlasmaker_io
import convert
import montage
import parallelize
# DEFAULT settings
_DEFAULT_COL... | 0.783699 | 0.129403 |
from spack import *
class PySetuptools(PythonPackage):
"""A Python utility that aids in the process of downloading, building,
upgrading, installing, and uninstalling Python packages."""
homepage = "https://github.com/pypa/setuptools"
url = "https://pypi.io/packages/source/s/setuptools/setupt... | var/spack/repos/builtin/packages/py-setuptools/package.py |
from spack import *
class PySetuptools(PythonPackage):
"""A Python utility that aids in the process of downloading, building,
upgrading, installing, and uninstalling Python packages."""
homepage = "https://github.com/pypa/setuptools"
url = "https://pypi.io/packages/source/s/setuptools/setupt... | 0.649801 | 0.23433 |
from flask import Flask
from flask_restful import Api, Resource, reqparse, abort, fields, marshal_with
from flask_sqlalchemy import SQLAlchemy
if __name__ == "__main__":
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///database.db'
db = SQLAlchemy(app)
else:
from flask_start imp... | quiz_api/quiz_api.py | from flask import Flask
from flask_restful import Api, Resource, reqparse, abort, fields, marshal_with
from flask_sqlalchemy import SQLAlchemy
if __name__ == "__main__":
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///database.db'
db = SQLAlchemy(app)
else:
from flask_start imp... | 0.318379 | 0.083329 |
from unittest import TestCase
from api.models import APIKey, Device, Manufacturer
from tests.setup_tests import db, seed_db
import datetime
class APIKeyTestCase(TestCase):
'''APIKey Test Case'''
@classmethod
def setUpClass(cls):
seed_db()
def test_validate(self):
'''Test validation o... | tests/test_models.py | from unittest import TestCase
from api.models import APIKey, Device, Manufacturer
from tests.setup_tests import db, seed_db
import datetime
class APIKeyTestCase(TestCase):
'''APIKey Test Case'''
@classmethod
def setUpClass(cls):
seed_db()
def test_validate(self):
'''Test validation o... | 0.752286 | 0.5919 |
from . import unittest, mock
from architect import install, uninstall
from architect.orms.bases import BaseFeature
class BaseDecoratorTestCase(object):
def setUp(self):
with mock.patch('pkgutil.iter_modules') as modules:
modules.return_value = [(None, 'foo', True)]
self.foo_featur... | tests/test_decorators.py | from . import unittest, mock
from architect import install, uninstall
from architect.orms.bases import BaseFeature
class BaseDecoratorTestCase(object):
def setUp(self):
with mock.patch('pkgutil.iter_modules') as modules:
modules.return_value = [(None, 'foo', True)]
self.foo_featur... | 0.665737 | 0.217213 |
# The goal of this lesson is to develop your ability to look at some code and indentify its time complexity, using Big O notation.
# Comparison computacional complexity
import matplotlib.pyplot as plt
from scipy.special import gamma
import math
import numpy as np
n = np.linspace(1,101,100)
O1 = gamma(n)
O2 = 2**n
O3 ... | src/efficiency/big_o_efficiency.py |
# The goal of this lesson is to develop your ability to look at some code and indentify its time complexity, using Big O notation.
# Comparison computacional complexity
import matplotlib.pyplot as plt
from scipy.special import gamma
import math
import numpy as np
n = np.linspace(1,101,100)
O1 = gamma(n)
O2 = 2**n
O3 ... | 0.742328 | 0.769968 |
from .archive import archive
from .archive_extension import archive_extension
from bes.fs import file_util
import os, os.path as path, stat, zipfile
class archive_zip(archive):
'A Zip archive class.'
def __init__(self, filename):
super(archive_zip, self).__init__(filename)
@classmethod
#@abstractmethod... | lib/bes/archive2/caca_archive_zip.py |
from .archive import archive
from .archive_extension import archive_extension
from bes.fs import file_util
import os, os.path as path, stat, zipfile
class archive_zip(archive):
'A Zip archive class.'
def __init__(self, filename):
super(archive_zip, self).__init__(filename)
@classmethod
#@abstractmethod... | 0.464173 | 0.11479 |
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from scipy.stats import multivariate_normal
from abc import ABC, abstractmethod
class Copula(ABC):
@abstractmethod
def __init__(self, dim):
super(Copula, self).__init__()
self.dim = dim
@abstractmethod
de... | copulas.py | import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from scipy.stats import multivariate_normal
from abc import ABC, abstractmethod
class Copula(ABC):
@abstractmethod
def __init__(self, dim):
super(Copula, self).__init__()
self.dim = dim
@abstractmethod
de... | 0.798972 | 0.349311 |
from __future__ import print_function, absolute_import
import os.path as osp
class MSMT(object):
def __init__(self, root, combine_all=True):
self.images_dir = osp.join(root)
self.combine_all = combine_all
self.train_path = 'train'
self.test_path = 'test'
self.train_list_f... | trainCode/Source/reid/datasets/msmt_copy.py | from __future__ import print_function, absolute_import
import os.path as osp
class MSMT(object):
def __init__(self, root, combine_all=True):
self.images_dir = osp.join(root)
self.combine_all = combine_all
self.train_path = 'train'
self.test_path = 'test'
self.train_list_f... | 0.409929 | 0.107157 |
import re
from google.appengine.ext import ndb
from model.flake.flake_issue import FlakeIssue
_OS_REGEX_PATTERN_MAPPING = [(re.compile('os:mac', re.I), 'os:Mac'),
(re.compile('os:linux', re.I), 'os:linux'),
(re.compile('os:ubuntu', re.I), 'os:linux'),
... | appengine/findit/model/test_inventory.py |
import re
from google.appengine.ext import ndb
from model.flake.flake_issue import FlakeIssue
_OS_REGEX_PATTERN_MAPPING = [(re.compile('os:mac', re.I), 'os:Mac'),
(re.compile('os:linux', re.I), 'os:linux'),
(re.compile('os:ubuntu', re.I), 'os:linux'),
... | 0.773302 | 0.319626 |
from __future__ import absolute_import
from __future__ import unicode_literals
import pytest
from detect_secrets.core.potential_secret import PotentialSecret
from detect_secrets.plugins.keyword import KeywordDetector
from testing.mocks import mock_file_object
QUOTES_REQUIRED_FILE_EXTENSIONS = (
'.cls',
'.ja... | tests/plugins/keyword_test.py | from __future__ import absolute_import
from __future__ import unicode_literals
import pytest
from detect_secrets.core.potential_secret import PotentialSecret
from detect_secrets.plugins.keyword import KeywordDetector
from testing.mocks import mock_file_object
QUOTES_REQUIRED_FILE_EXTENSIONS = (
'.cls',
'.ja... | 0.338077 | 0.154983 |
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | build/lib.macosx-10.9-x86_64-3.9/mediapipe/calculators/video/video_pre_stream_calculator_pb2.py | """Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | 0.362179 | 0.08141 |
import copy
import json
import os
import urllib.parse
import boto3
import hashlib
from io import StringIO
# --------------------------------------------------
# Initializes global variables
# --------------------------------------------------
def init():
global s3, s3_client, stpfn_client, lambda_client, event_cl... | daas-core/lmd-ingest-invoker.py | import copy
import json
import os
import urllib.parse
import boto3
import hashlib
from io import StringIO
# --------------------------------------------------
# Initializes global variables
# --------------------------------------------------
def init():
global s3, s3_client, stpfn_client, lambda_client, event_cl... | 0.227298 | 0.053974 |
import copy
import unittest
import warnings
import mock
import numpy as np
import pytest
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import optimizer
from chainer import optimizers
from chainer import serializer
from chainer import testing
from chainer.testing import attr... | tests/chainer_tests/test_optimizer.py | import copy
import unittest
import warnings
import mock
import numpy as np
import pytest
import chainer
from chainer import backend
from chainer.backends import cuda
from chainer import optimizer
from chainer import optimizers
from chainer import serializer
from chainer import testing
from chainer.testing import attr... | 0.537284 | 0.345574 |
from ..data import get_data
from dataclasses import dataclass
import numpy as np
__all__ = [
"get_square_grid_neighbours",
"CameraCoordinates",
"SSTCameraMapping",
]
def get_square_grid_neighbours(row, column, diagonal):
"""
Obtain the neighbours for a position on a square grid
Parameters
... | sstcam_simulation/camera/mapping.py | from ..data import get_data
from dataclasses import dataclass
import numpy as np
__all__ = [
"get_square_grid_neighbours",
"CameraCoordinates",
"SSTCameraMapping",
]
def get_square_grid_neighbours(row, column, diagonal):
"""
Obtain the neighbours for a position on a square grid
Parameters
... | 0.941708 | 0.70108 |
from datetime import timedelta, date
import datetime
from pymongo import MongoClient
import time
class BasicSolver:
def __init__(self):
self.client = MongoClient('mongodb://localhost:27017/')
self.db_GTFS = self.client.cota_gtfs
self.db_time_stamps_set = set()
self.db_time_stamps = ... | BasicSolver.py | from datetime import timedelta, date
import datetime
from pymongo import MongoClient
import time
class BasicSolver:
def __init__(self):
self.client = MongoClient('mongodb://localhost:27017/')
self.db_GTFS = self.client.cota_gtfs
self.db_time_stamps_set = set()
self.db_time_stamps = ... | 0.41182 | 0.156298 |
import argparse
import datetime
import warnings
from urllib.error import HTTPError
import pandas as pd
import matplotlib
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import src.utils as cutil
parser = argparse.ArgumentParser()
parser.add_argument(
"--nd",
dest="d",
action="store_fals... | code/plotting/figED1.py | import argparse
import datetime
import warnings
from urllib.error import HTTPError
import pandas as pd
import matplotlib
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import src.utils as cutil
parser = argparse.ArgumentParser()
parser.add_argument(
"--nd",
dest="d",
action="store_fals... | 0.367838 | 0.280998 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
from tensorflow.python.debug.lib import grpc_debug_test_server
from tensorflow.python.debug.lib import session_debug_testlib... | vendor/github.com/tensorflow/tensorflow/tensorflow/python/debug/lib/grpc_large_data_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
from tensorflow.python.debug.lib import grpc_debug_test_server
from tensorflow.python.debug.lib import session_debug_testlib... | 0.610802 | 0.186151 |
from __future__ import unicode_literals
import uuid
import mock
from timesketch.lib import emojis
from timesketch.lib import testlib
from timesketch.lib.analyzers import chain
from timesketch.lib.analyzers.chain_plugins import interface
from timesketch.lib.analyzers.chain_plugins import manager
class FakeEvent(ob... | timesketch/lib/analyzers/chain_test.py | from __future__ import unicode_literals
import uuid
import mock
from timesketch.lib import emojis
from timesketch.lib import testlib
from timesketch.lib.analyzers import chain
from timesketch.lib.analyzers.chain_plugins import interface
from timesketch.lib.analyzers.chain_plugins import manager
class FakeEvent(ob... | 0.782413 | 0.200401 |
import random
import os
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from dataset.data_loader_emd import GetLoader
from torchvision import datasets
from torchvision import transforms
from models.model_emd_1 import CNNModel
import numpy as np
from test_emd import test
source... | train/main_emd.py |
import random
import os
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from dataset.data_loader_emd import GetLoader
from torchvision import datasets
from torchvision import transforms
from models.model_emd_1 import CNNModel
import numpy as np
from test_emd import test
source... | 0.556159 | 0.224757 |
# Hello! I,<NAME>, am the creator of this data-set and just wanted to provide a sample analysis for anyone interested in looking at CS. I look at mainly the pistol round here but many of the techniques can be applied to all types of rounds. There are many ways to analyze this dataset so I hope you can go off and answe... | cs go.py |
# Hello! I,<NAME>, am the creator of this data-set and just wanted to provide a sample analysis for anyone interested in looking at CS. I look at mainly the pistol round here but many of the techniques can be applied to all types of rounds. There are many ways to analyze this dataset so I hope you can go off and answe... | 0.428233 | 0.582016 |
from nengo.exceptions import SpaParseError
from nengo.utils.numpy import is_number
class Symbol:
"""A set of semantic pointer symbols and associated math.
This is an abstract semantic pointer (not associated with a particular
vocabulary or dimension). It is just meant for keeping track of the
desire... | nengo/spa/action_objects.py |
from nengo.exceptions import SpaParseError
from nengo.utils.numpy import is_number
class Symbol:
"""A set of semantic pointer symbols and associated math.
This is an abstract semantic pointer (not associated with a particular
vocabulary or dimension). It is just meant for keeping track of the
desire... | 0.920611 | 0.457318 |
import requests
from lxml import html
import json
import datetime as dt
import global_settings as gs
import os
if not gs.local:
import boto3
from dynamodb_json import json_util as dyjson
def daterange(start_date, end_date):
"""
Works the same as python's 'range' but... | src/get_articles_url.py |
import requests
from lxml import html
import json
import datetime as dt
import global_settings as gs
import os
if not gs.local:
import boto3
from dynamodb_json import json_util as dyjson
def daterange(start_date, end_date):
"""
Works the same as python's 'range' but... | 0.528533 | 0.181989 |
from st2tests.base import BaseSensorTestCase
import laas
import responses
import json
class LaaSSensorTest(BaseSensorTestCase):
sensor_cls = laas.LaaS_Sensor
def setUp(self):
super(LaaSSensorTest, self).setUp()
self.sensor = self.get_sensor_instance(config={
"dashboard": {
... | laas/tests/test_sensor_laas_api.py | from st2tests.base import BaseSensorTestCase
import laas
import responses
import json
class LaaSSensorTest(BaseSensorTestCase):
sensor_cls = laas.LaaS_Sensor
def setUp(self):
super(LaaSSensorTest, self).setUp()
self.sensor = self.get_sensor_instance(config={
"dashboard": {
... | 0.413596 | 0.278985 |
__author__ = 'plandes'
from typing import List, Dict, Tuple
from dataclasses import dataclass, field
import sys
import logging
import re
from pathlib import Path
from io import TextIOWrapper
import bibtexparser
from bibtexparser.bibdatabase import BibDatabase
from bibtexparser.bwriter import BibTexWriter
from bibtexpa... | src/python/zensols/bibstract/extractor.py | __author__ = 'plandes'
from typing import List, Dict, Tuple
from dataclasses import dataclass, field
import sys
import logging
import re
from pathlib import Path
from io import TextIOWrapper
import bibtexparser
from bibtexparser.bibdatabase import BibDatabase
from bibtexparser.bwriter import BibTexWriter
from bibtexpa... | 0.782704 | 0.215867 |
from __future__ import print_function
from django.test import TestCase
from django.test import Client
from django.contrib.auth.models import User
import mock
import os
import pytest
import json
# os.environ["NUM_BUDGET_YEARS"] = '2'
from ...taxbrain.models import TaxSaveInputs
from ...taxbrain.models import convert_to... | webapp/apps/dynamic/tests/test_ogusa.py | from __future__ import print_function
from django.test import TestCase
from django.test import Client
from django.contrib.auth.models import User
import mock
import os
import pytest
import json
# os.environ["NUM_BUDGET_YEARS"] = '2'
from ...taxbrain.models import TaxSaveInputs
from ...taxbrain.models import convert_to... | 0.408277 | 0.206834 |
from __future__ import absolute_import, print_function
import glob
import os
import subprocess
import sys
from codecs import open
from setuptools import setup
if sys.version_info < (2, 7):
print("Python 2.7 or higher is required")
sys.exit(1)
description = "Create and validate BagIt packages"
with open("R... | setup.py |
from __future__ import absolute_import, print_function
import glob
import os
import subprocess
import sys
from codecs import open
from setuptools import setup
if sys.version_info < (2, 7):
print("Python 2.7 or higher is required")
sys.exit(1)
description = "Create and validate BagIt packages"
with open("R... | 0.337859 | 0.124293 |
from typing import cast
from aries_cloudagent.core.profile import ProfileSession
from aries_cloudagent.indy.holder import IndyHolderError
from aries_cloudagent.indy.models.requested_creds import (
IndyRequestedCredsRequestedAttrSchema,
IndyRequestedCredsRequestedPredSchema,
)
from aries_cloudagent.ledger.error... | acapy_plugin_toolbox/holder/v0_1/messages/pres_request_approve.py | from typing import cast
from aries_cloudagent.core.profile import ProfileSession
from aries_cloudagent.indy.holder import IndyHolderError
from aries_cloudagent.indy.models.requested_creds import (
IndyRequestedCredsRequestedAttrSchema,
IndyRequestedCredsRequestedPredSchema,
)
from aries_cloudagent.ledger.error... | 0.832134 | 0.126111 |
from django import forms
from django.conf import settings
from django.db import connection
import sqlite3
from biostar.recipes import const, models, util
# Share the logger with models.
logger = models.logger
def float_field(data):
numrange = data.get("range", [1.0, 100000.0])
min_value, max_value = numrang... | biostar/recipes/factory.py | from django import forms
from django.conf import settings
from django.db import connection
import sqlite3
from biostar.recipes import const, models, util
# Share the logger with models.
logger = models.logger
def float_field(data):
numrange = data.get("range", [1.0, 100000.0])
min_value, max_value = numrang... | 0.467089 | 0.19544 |
import logging
from spacel.model.aws import VALID_REGIONS, INSTANCE_TYPES
logger = logging.getLogger('spacel.model.orbit')
NAT_CONFIGURATIONS = {
'disabled', # No NAT, don't even try
'enabled', # Single NAT gateway for every AZ (default)
'per-az' # NAT gateway per AZ (suggested for production)
}
cla... | src/spacel/model/orbit.py | import logging
from spacel.model.aws import VALID_REGIONS, INSTANCE_TYPES
logger = logging.getLogger('spacel.model.orbit')
NAT_CONFIGURATIONS = {
'disabled', # No NAT, don't even try
'enabled', # Single NAT gateway for every AZ (default)
'per-az' # NAT gateway per AZ (suggested for production)
}
cla... | 0.735452 | 0.126623 |
import argparse
import cv2
import numpy as np
import os
import random
import sys
from glob import glob
from scipy.spatial import cKDTree
from skimage import color
def get_cell_tree(cell_images):
L_vector = [np.mean(im[:,:,0]) for im in cell_images]
a_vector = [np.mean(im[:,:,1]) for im in cell_images]
b_vector... | photomosaic.py | import argparse
import cv2
import numpy as np
import os
import random
import sys
from glob import glob
from scipy.spatial import cKDTree
from skimage import color
def get_cell_tree(cell_images):
L_vector = [np.mean(im[:,:,0]) for im in cell_images]
a_vector = [np.mean(im[:,:,1]) for im in cell_images]
b_vector... | 0.286668 | 0.354782 |
import time
import torch
import random
import logging
import numpy as np
from model import VOGUE
from args import get_parser
from torchtext.data import BucketIterator
from data.dataset import AnswerVerbalizationDataset
from constants import *
from utils import (SingleTaskLoss, MultiTaskLoss,
Scorer... | test.py | import time
import torch
import random
import logging
import numpy as np
from model import VOGUE
from args import get_parser
from torchtext.data import BucketIterator
from data.dataset import AnswerVerbalizationDataset
from constants import *
from utils import (SingleTaskLoss, MultiTaskLoss,
Scorer... | 0.657209 | 0.188847 |
from __future__ import print_function
import json
import json5
import re
import sys
import copy
# All site names appear to follow the pattern <type>_X<abs coord>Y<abs coord>.
# Generally speaking, only the tile relatively coordinates are required to
# assemble arch defs, so we re-origin the coordinates to be relative ... | fuzzers/074-dump_all/cleanup_site_pins.py | from __future__ import print_function
import json
import json5
import re
import sys
import copy
# All site names appear to follow the pattern <type>_X<abs coord>Y<abs coord>.
# Generally speaking, only the tile relatively coordinates are required to
# assemble arch defs, so we re-origin the coordinates to be relative ... | 0.50293 | 0.628635 |
import numpy as np
from pyPDP.algorithms.pdp import PDP
from pyPDP.blackbox_functions.synthetic_functions import Square, StyblinskiTang
from pyPDP.sampler.bayesian_optimization import BayesianOptimizationSampler
from pyPDP.utils.advanced_plots import plot_2D_ICE_Curve_with_confidence
from tests import PlottableTest
... | tests/algorithms/test_pdp.py | import numpy as np
from pyPDP.algorithms.pdp import PDP
from pyPDP.blackbox_functions.synthetic_functions import Square, StyblinskiTang
from pyPDP.sampler.bayesian_optimization import BayesianOptimizationSampler
from pyPDP.utils.advanced_plots import plot_2D_ICE_Curve_with_confidence
from tests import PlottableTest
... | 0.758689 | 0.648007 |
from __future__ import absolute_import, division, print_function
import os.path
import Microsoft.Win32 as Win32
RegistryHive = Win32.RegistryHive
RegistryView = Win32.RegistryView
RegistryKey = Win32.RegistryKey
RegistryValueKind = Win32.RegistryValueKind
import System
from System.Reflection import Assembly, Assemb... | installer/reg.py |
from __future__ import absolute_import, division, print_function
import os.path
import Microsoft.Win32 as Win32
RegistryHive = Win32.RegistryHive
RegistryView = Win32.RegistryView
RegistryKey = Win32.RegistryKey
RegistryValueKind = Win32.RegistryValueKind
import System
from System.Reflection import Assembly, Assemb... | 0.560012 | 0.054224 |
import numpy as np
from anchor_free import anchor_free_helper
def test_get_loc_label():
inputs = np.array([0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0])
output = anchor_free_helper.get_loc_label(inputs)
answer = np.array([[0, 0],
[0, 0],
[0, 0],
... | tests/anchor_free/test_anchor_free_helper.py | import numpy as np
from anchor_free import anchor_free_helper
def test_get_loc_label():
inputs = np.array([0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0])
output = anchor_free_helper.get_loc_label(inputs)
answer = np.array([[0, 0],
[0, 0],
[0, 0],
... | 0.594198 | 0.666931 |
# Created: Sat Dec 2 16:02:17 2000
# <EMAIL>, http://www.cbs.dtu.dk/thomas
"""BLAST code for graphical Xbbtools tool."""
from __future__ import print_function
import os
import tempfile
import threading
try:
import tkMessageBox as messagebox # Python 2
except ImportError:
from tkinter import messagebox #... | Scripts/xbbtools/xbb_blastbg.py |
# Created: Sat Dec 2 16:02:17 2000
# <EMAIL>, http://www.cbs.dtu.dk/thomas
"""BLAST code for graphical Xbbtools tool."""
from __future__ import print_function
import os
import tempfile
import threading
try:
import tkMessageBox as messagebox # Python 2
except ImportError:
from tkinter import messagebox #... | 0.699254 | 0.122078 |
"""this file is only for PaddleCloud"""
import os
import logging
import paddle.fluid.contrib.utils.hdfs_utils as hdfs_utils
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("cloud")
logger.setLevel(logging.INFO)
def run():
cmd = "python -u train.py "
... | PaddleRec/ctr/cloud.py | """this file is only for PaddleCloud"""
import os
import logging
import paddle.fluid.contrib.utils.hdfs_utils as hdfs_utils
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("cloud")
logger.setLevel(logging.INFO)
def run():
cmd = "python -u train.py "
... | 0.127002 | 0.074838 |
import logging
import requests
from . import AuthenticatedBaseException
_LOGGER = logging.getLogger(__name__)
PROVIDERS = {}
def register_provider(classname):
"""Decorator used to register providers."""
PROVIDERS[classname.name] = classname
return classname
class GeoProvider:
"""GeoProvider class.... | custom_components/authenticated/providers.py | import logging
import requests
from . import AuthenticatedBaseException
_LOGGER = logging.getLogger(__name__)
PROVIDERS = {}
def register_provider(classname):
"""Decorator used to register providers."""
PROVIDERS[classname.name] = classname
return classname
class GeoProvider:
"""GeoProvider class.... | 0.837454 | 0.14851 |
import logging
import time
try:
import unittest2 as unittest
except ImportError:
import unittest
from M2Crypto import EVP, Rand, util
from M2Crypto.AuthCookie import AuthCookie, AuthCookieJar, mix, unmix, unmix3
from M2Crypto.six.moves.http_cookies import SimpleCookie # pylint: disable=no-name-in-module,impor... | tests/test_authcookie.py | import logging
import time
try:
import unittest2 as unittest
except ImportError:
import unittest
from M2Crypto import EVP, Rand, util
from M2Crypto.AuthCookie import AuthCookie, AuthCookieJar, mix, unmix, unmix3
from M2Crypto.six.moves.http_cookies import SimpleCookie # pylint: disable=no-name-in-module,impor... | 0.421433 | 0.314573 |
from __future__ import print_function
import argparse
import sys
from disco_aws_automation import DiscoElasticsearch
from disco_aws_automation import DiscoESArchive
from disco_aws_automation.disco_aws_util import run_gracefully, is_truthy
from disco_aws_automation.disco_logging import configure_logging
# R0912 Allow... | bin/disco_elasticsearch.py | from __future__ import print_function
import argparse
import sys
from disco_aws_automation import DiscoElasticsearch
from disco_aws_automation import DiscoESArchive
from disco_aws_automation.disco_aws_util import run_gracefully, is_truthy
from disco_aws_automation.disco_logging import configure_logging
# R0912 Allow... | 0.413477 | 0.131954 |
import pygame
from pygame.locals import Rect
from random import randint
# game constants
WIDTH = 1024
HEIGHT = 576
SCREEN_RECT = Rect(0, 0, WIDTH, HEIGHT)
class BgLayer:
def __init__(self, center_point, variability=100, speed=5,
color=(0, 0, 0), bar_width=10):
pygame.sprite.Sprite.__init... | parallax_city.py | import pygame
from pygame.locals import Rect
from random import randint
# game constants
WIDTH = 1024
HEIGHT = 576
SCREEN_RECT = Rect(0, 0, WIDTH, HEIGHT)
class BgLayer:
def __init__(self, center_point, variability=100, speed=5,
color=(0, 0, 0), bar_width=10):
pygame.sprite.Sprite.__init... | 0.612426 | 0.18881 |
from nintendo.nex import common, streams
import logging
logger = logging.getLogger(__name__)
class ClearCondition:
NORMAL = 0
COLLECT_COINS = 4116396131
KILL_SKIPSQUEAKS = 4042480826
class CourseDifficulty:
EASY = 0
STANDARD = 1
EXPERT = 2
SUPER_EXPERT = 3
class CourseOption:
PLAY_STATS = 1
RATINGS = 2... | nintendo/nex/datastore_smm2.py |
from nintendo.nex import common, streams
import logging
logger = logging.getLogger(__name__)
class ClearCondition:
NORMAL = 0
COLLECT_COINS = 4116396131
KILL_SKIPSQUEAKS = 4042480826
class CourseDifficulty:
EASY = 0
STANDARD = 1
EXPERT = 2
SUPER_EXPERT = 3
class CourseOption:
PLAY_STATS = 1
RATINGS = 2... | 0.2304 | 0.151843 |
from pandas import DataFrame
from .roc import roc
from pandas_ta.utils import get_drift, get_offset, verify_series
def kst(close, roc1=None, roc2=None, roc3=None, roc4=None, sma1=None, sma2=None, sma3=None, sma4=None, signal=None, drift=None, offset=None, **kwargs):
"""Indicator: 'Know Sure Thing' (KST)"""
... | pandas_ta/momentum/kst.py | from pandas import DataFrame
from .roc import roc
from pandas_ta.utils import get_drift, get_offset, verify_series
def kst(close, roc1=None, roc2=None, roc3=None, roc4=None, sma1=None, sma2=None, sma3=None, sma4=None, signal=None, drift=None, offset=None, **kwargs):
"""Indicator: 'Know Sure Thing' (KST)"""
... | 0.6705 | 0.341034 |
import logging
import time
import allure
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver import ActionChains
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriv... | builds/tests/source/ui/pages/base_page.py | import logging
import time
import allure
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver import ActionChains
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriv... | 0.4856 | 0.131396 |
from typing import Dict, Generator, List, Tuple, Union
from .jsonld import IndexerSchemaOrgProperties, IndexerJsonLdTags, IndexerSchemaOrgTypes
from datalad.metadata.indexers.base import MetadataIndexer
STUDYMINIMETA_FORMAT_NAME = 'metalad_studyminimeta'
class StudyMiniMetaIds:
PERSON_LIST = "#personList"
... | datalad_metalad/indexers/studyminimeta.py | from typing import Dict, Generator, List, Tuple, Union
from .jsonld import IndexerSchemaOrgProperties, IndexerJsonLdTags, IndexerSchemaOrgTypes
from datalad.metadata.indexers.base import MetadataIndexer
STUDYMINIMETA_FORMAT_NAME = 'metalad_studyminimeta'
class StudyMiniMetaIds:
PERSON_LIST = "#personList"
... | 0.831759 | 0.354685 |
import logging
from snuggle import errors
from .api_subset import APISubset
logger = logging.getLogger("snuggle.mediawiki.api.pages")
class Pages(APISubset):
def _get_edit_token(self, page_name, access_token=None):
doc = self.api.post(
{
'action': "query",
'prop': "info|revisions",
'titles': pag... | snuggle/mediawiki/api/pages.py | import logging
from snuggle import errors
from .api_subset import APISubset
logger = logging.getLogger("snuggle.mediawiki.api.pages")
class Pages(APISubset):
def _get_edit_token(self, page_name, access_token=None):
doc = self.api.post(
{
'action': "query",
'prop': "info|revisions",
'titles': pag... | 0.19163 | 0.079424 |
from __future__ import absolute_import
import lintreview.git as git
import os
from .test_github import config
from nose.tools import eq_
from nose.tools import raises
from unittest import skipIf
settings = {
'WORKSPACE': './tests'
}
cant_write_to_test = not(os.access(os.path.abspath('./tests'), os.W_OK))
def te... | tests/test_git.py | from __future__ import absolute_import
import lintreview.git as git
import os
from .test_github import config
from nose.tools import eq_
from nose.tools import raises
from unittest import skipIf
settings = {
'WORKSPACE': './tests'
}
cant_write_to_test = not(os.access(os.path.abspath('./tests'), os.W_OK))
def te... | 0.51562 | 0.227126 |
from federatedml.framework.homo.blocks.base import HomoTransferBase
from federatedml.secureprotol.diffie_hellman import DiffieHellman
from federatedml.util import consts
class DHTransVar(HomoTransferBase):
def __init__(self, server=(consts.ARBITER,), clients=(consts.GUEST, consts.HOST), prefix=None):
supe... | python/federatedml/framework/homo/blocks/diffie_hellman.py | from federatedml.framework.homo.blocks.base import HomoTransferBase
from federatedml.secureprotol.diffie_hellman import DiffieHellman
from federatedml.util import consts
class DHTransVar(HomoTransferBase):
def __init__(self, server=(consts.ARBITER,), clients=(consts.GUEST, consts.HOST), prefix=None):
supe... | 0.611846 | 0.09782 |
import os,glob
import sys,getopt
class commandline:
def __init__(self):
opts,args = getopt.getopt(sys.argv[1:],'d:b:s:qh')
opts = dict(opts)
# default do not submit jod to HPC
self.qsub = False
self.level = 1
if '-h' in opts:
self.printHe... | preproc/4_copy_mri_back.py | import os,glob
import sys,getopt
class commandline:
def __init__(self):
opts,args = getopt.getopt(sys.argv[1:],'d:b:s:qh')
opts = dict(opts)
# default do not submit jod to HPC
self.qsub = False
self.level = 1
if '-h' in opts:
self.printHe... | 0.05301 | 0.043752 |
from django.db.models import Prefetch, Q
from rest_framework import exceptions, mixins, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from resolwe.flow.filters import DataFilter
from resolwe.flow.models import Collection, Data, DescriptorSchema, Entity, Process
fro... | resolwe/flow/views/data.py | from django.db.models import Prefetch, Q
from rest_framework import exceptions, mixins, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from resolwe.flow.filters import DataFilter
from resolwe.flow.models import Collection, Data, DescriptorSchema, Entity, Process
fro... | 0.743447 | 0.145722 |
import sys
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.utils import COMMASPACE, formatdate
from email import encoders
from PyQt5 import uic
from PyQt5.QtWidgets import QApplication, QWidget
WRONG_FILE = 1
PASS = 0
FILE_ERROR = -1
ACCESS_ERROR = -2
clas... | ComputerNetworks/lab6/main.py | import sys
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.utils import COMMASPACE, formatdate
from email import encoders
from PyQt5 import uic
from PyQt5.QtWidgets import QApplication, QWidget
WRONG_FILE = 1
PASS = 0
FILE_ERROR = -1
ACCESS_ERROR = -2
clas... | 0.16388 | 0.064036 |
import sys
import json
from firepro import *
def usage():
print('parsewrestler.py wrestler.json')
sys.exit(1)
def main():
if len(sys.argv) != 2:
usage()
with open(sys.argv[1]) as json_file:
wrestler_struct = json.load(json_file)
print("===RENAME===")
print("RENAME_last_name:... | parsewrestler.py | import sys
import json
from firepro import *
def usage():
print('parsewrestler.py wrestler.json')
sys.exit(1)
def main():
if len(sys.argv) != 2:
usage()
with open(sys.argv[1]) as json_file:
wrestler_struct = json.load(json_file)
print("===RENAME===")
print("RENAME_last_name:... | 0.21684 | 0.080683 |
import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
from keras.preprocessing.image import ImageDataGenerator, load_img
from api_face.keras_vggface.vggface import VGGFace
'''
vgg_conv = VGG16(weights='imagenet',
include_top=False,
input_shape=(224, 224, 3))
v... | api_face/pretrained-imagenet-models-classification.py | import os
import pickle
import matplotlib.pyplot as plt
import numpy as np
from keras.preprocessing.image import ImageDataGenerator, load_img
from api_face.keras_vggface.vggface import VGGFace
'''
vgg_conv = VGG16(weights='imagenet',
include_top=False,
input_shape=(224, 224, 3))
v... | 0.52975 | 0.321673 |
# # Kubeflow pipeline
# This is a fairly simple pipeline, containing sequential steps:
#
# 1. Update data - implemented by lightbend/kubeflow-datapublisher:0.0.1 image
# 2. Run model training. Ideally we would run TFJob, but due to the current limitations for pipelines, we will directly use an image implementing trai... | pipelines/RecommenderPipeline.py |
# # Kubeflow pipeline
# This is a fairly simple pipeline, containing sequential steps:
#
# 1. Update data - implemented by lightbend/kubeflow-datapublisher:0.0.1 image
# 2. Run model training. Ideally we would run TFJob, but due to the current limitations for pipelines, we will directly use an image implementing trai... | 0.684475 | 0.377024 |
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from common.models import InvenTreeSetting
import json
from datetime import datetime, timedelta
from InvenTree.status_codes import StockStatus
class StockVie... | InvenTree/stock/test_views.py |
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from common.models import InvenTreeSetting
import json
from datetime import datetime, timedelta
from InvenTree.status_codes import StockStatus
class StockVie... | 0.518059 | 0.194942 |
import typing as t
import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import StratifiedKFold
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
class MFELandma... | pymfe/landmarking.py |
import typing as t
import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import StratifiedKFold
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
class MFELandma... | 0.920571 | 0.627267 |
import datetime
import unittest
import ddt
import freezegun
from ggrc.models import all_models
from integration.ggrc import TestCase
from integration.ggrc.api_helper import Api
from integration.ggrc.access_control import acl_helper
from integration.ggrc.models import factories
from integration.ggrc_workflows import ... | test/integration/ggrc_workflows/test_workflow_api_calls.py | import datetime
import unittest
import ddt
import freezegun
from ggrc.models import all_models
from integration.ggrc import TestCase
from integration.ggrc.api_helper import Api
from integration.ggrc.access_control import acl_helper
from integration.ggrc.models import factories
from integration.ggrc_workflows import ... | 0.644001 | 0.254822 |
import unittest
import numpy
import tempfile
from pyscf import lib, gto
def make_ab(n):
numpy.random.seed(1)
a = numpy.random.random((n,n)) + numpy.eye(n) * 2
b = numpy.random.random(n)
adiag = a.diagonal()
x0 = b / adiag
arest = a - numpy.diag(adiag)
return a, b, adiag, arest, x0
class ... | pyscf/lib/test/test_diis.py |
import unittest
import numpy
import tempfile
from pyscf import lib, gto
def make_ab(n):
numpy.random.seed(1)
a = numpy.random.random((n,n)) + numpy.eye(n) * 2
b = numpy.random.random(n)
adiag = a.diagonal()
x0 = b / adiag
arest = a - numpy.diag(adiag)
return a, b, adiag, arest, x0
class ... | 0.467089 | 0.609146 |
import argparse
import math
import psycopg2
import sys
import re
parser = argparse.ArgumentParser()
parser.add_argument("--dbname", action="store", required=True, help="Database to which the script will connect.")
parser.add_argument("--port", action="store", type=int, default=5432, help="Port of the postmaster.")
par... | analysis/dynamic/new/prepareDataset.py | import argparse
import math
import psycopg2
import sys
import re
parser = argparse.ArgumentParser()
parser.add_argument("--dbname", action="store", required=True, help="Database to which the script will connect.")
parser.add_argument("--port", action="store", type=int, default=5432, help="Port of the postmaster.")
par... | 0.34798 | 0.257978 |
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from side_scroller.game import Game
import pygame
from side_scroller.settings import GameSettings
def display_player_death_animation(current_game: Game):
obstacles_in_player_path_y = [(obstacle.image, obstacle.rect) for obsta... | side_scroller/death_animation.py | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from side_scroller.game import Game
import pygame
from side_scroller.settings import GameSettings
def display_player_death_animation(current_game: Game):
obstacles_in_player_path_y = [(obstacle.image, obstacle.rect) for obsta... | 0.794505 | 0.106877 |
import os
import unittest
import nlgeval
from nlgeval import NLGEval
class TestNlgEval(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.n = NLGEval()
def test_compute_individual_metrics(self):
scores = self.n.compute_individual_metrics(ref=["this is a test",
... | utils/nlg_eval/nlgeval/tests/test_nlgeval.py | import os
import unittest
import nlgeval
from nlgeval import NLGEval
class TestNlgEval(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.n = NLGEval()
def test_compute_individual_metrics(self):
scores = self.n.compute_individual_metrics(ref=["this is a test",
... | 0.681303 | 0.768928 |
import numpy as np
import datetime
import multiprocessing as mp
from prep.cheb import Process_Point_Cheb
from prep.smoothing import Smoothing
def Preprocess_derivatives(field, steps = None, output_file_name = None, smooth = True, mp_poolsize = 4, max_order = 2, polynomial_window = 9, poly_order = None):
'''
... | estar/prep/derivatives_scaling.py | import numpy as np
import datetime
import multiprocessing as mp
from prep.cheb import Process_Point_Cheb
from prep.smoothing import Smoothing
def Preprocess_derivatives(field, steps = None, output_file_name = None, smooth = True, mp_poolsize = 4, max_order = 2, polynomial_window = 9, poly_order = None):
'''
... | 0.517083 | 0.531149 |
import sys, os
from basic.constant import ROOT_PATH
from basic.common import makedirsforfile,checkToSkip,printStatus
from basic.annotationtable import readConcepts,readAnnotationsFrom
from liblinear193.python.liblinearutil import train as liblinear_train
from fastlinear import liblinear_to_fastlinear, fastlinear_save... | model_based/svms/fastlinear/trainLinearConcepts.py | import sys, os
from basic.constant import ROOT_PATH
from basic.common import makedirsforfile,checkToSkip,printStatus
from basic.annotationtable import readConcepts,readAnnotationsFrom
from liblinear193.python.liblinearutil import train as liblinear_train
from fastlinear import liblinear_to_fastlinear, fastlinear_save... | 0.214774 | 0.348534 |
{
' Assessment Series Details': ' Assessment Series Details',
'"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN': '"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN',
'# of International Staff'... | languages/en-gb.py | {
' Assessment Series Details': ' Assessment Series Details',
'"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN': '"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN',
'# of International Staff'... | 0.612194 | 0.566738 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | python/istio_api/broker/dev/service_plan_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | 0.194062 | 0.103115 |
from mock import patch
from django.test import override_settings
from django.utils.timezone import now as timezone_now
from zerver.lib.test_classes import ZulipTestCase
from zerver.lib.exceptions import JsonableError
from zerver.lib.test_helpers import use_s3_backend
from zerver.models import RealmAuditLog
from zerv... | zerver/tests/test_realm_export.py | from mock import patch
from django.test import override_settings
from django.utils.timezone import now as timezone_now
from zerver.lib.test_classes import ZulipTestCase
from zerver.lib.exceptions import JsonableError
from zerver.lib.test_helpers import use_s3_backend
from zerver.models import RealmAuditLog
from zerv... | 0.448185 | 0.263238 |
import os
import re
import sys
if sys.version_info >= (3,):
import urllib.parse as urlparse
else:
import urlparse
import zlib
from http_parser.util import (b, bytes_to_str, IOrderedDict, StringIO,
unquote, MAXSIZE)
METHOD_RE = re.compile("[A-Z0-9$-_.]{3,20}")
VERSION_RE = re.compile("HTTP/(\d+).(\... | http_parser/pyparser.py |
import os
import re
import sys
if sys.version_info >= (3,):
import urllib.parse as urlparse
else:
import urlparse
import zlib
from http_parser.util import (b, bytes_to_str, IOrderedDict, StringIO,
unquote, MAXSIZE)
METHOD_RE = re.compile("[A-Z0-9$-_.]{3,20}")
VERSION_RE = re.compile("HTTP/(\d+).(\... | 0.335351 | 0.141875 |
import Alignment.MillePedeAlignmentAlgorithm.mpslib.Mpslibclass as mpslib
import re
import os
import argparse
lib = mpslib.jobdatabase()
## Parse arguments
## -----------------------------------------------------------------------------
parser = argparse.ArgumentParser(
description='Produce Config for Pede-job f... | Alignment/MillePedeAlignmentAlgorithm/scripts/mps_merge.py |
import Alignment.MillePedeAlignmentAlgorithm.mpslib.Mpslibclass as mpslib
import re
import os
import argparse
lib = mpslib.jobdatabase()
## Parse arguments
## -----------------------------------------------------------------------------
parser = argparse.ArgumentParser(
description='Produce Config for Pede-job f... | 0.258232 | 0.107297 |
from spack import *
import os
class Xsdktrilinos(CMakePackage):
"""xSDKTrilinos contains the portions of Trilinos that depend on PETSc
because they would cause a circular dependency if built as part of
Trilinos.
"""
homepage = "https://trilinos.org/"
url = "https://github.com/trilinos/xS... | var/spack/repos/builtin/packages/xsdktrilinos/package.py |
from spack import *
import os
class Xsdktrilinos(CMakePackage):
"""xSDKTrilinos contains the portions of Trilinos that depend on PETSc
because they would cause a circular dependency if built as part of
Trilinos.
"""
homepage = "https://trilinos.org/"
url = "https://github.com/trilinos/xS... | 0.572603 | 0.149935 |
import random
from nvflare.apis.client import Client
from nvflare.apis.fl_context import FLContext
from nvflare.apis.impl.controller import ClientTask, Controller, Task
from nvflare.apis.shareable import Shareable
from nvflare.apis.signal import Signal
from nvflare.app_common.abstract.learnable_persistor import Learn... | nvflare/app_common/workflows/cyclic_ctl.py |
import random
from nvflare.apis.client import Client
from nvflare.apis.fl_context import FLContext
from nvflare.apis.impl.controller import ClientTask, Controller, Task
from nvflare.apis.shareable import Shareable
from nvflare.apis.signal import Signal
from nvflare.app_common.abstract.learnable_persistor import Learn... | 0.7324 | 0.152916 |
import base64
import json
import codecs
from .. import identifiers, msg_type, property_enumeration, command_with_properties
from ..properties import hmproperty
import logging
log = logging.getLogger('hmkit.autoapi')
class IgnitionState(command_with_properties.CommandWithProperties):
"""
Handle Ignition Sta... | hmkit/autoapi/commands/ignition_state.py | import base64
import json
import codecs
from .. import identifiers, msg_type, property_enumeration, command_with_properties
from ..properties import hmproperty
import logging
log = logging.getLogger('hmkit.autoapi')
class IgnitionState(command_with_properties.CommandWithProperties):
"""
Handle Ignition Sta... | 0.348756 | 0.091382 |
# standard library imports
import argparse
import textwrap
import sys # NOQA importing sys so I can mock sys.argv in tests
from pandashells.lib import module_checker_lib, arg_lib
module_checker_lib.check_for_modules(['pandas'])
from pandashells.lib import io_lib
import pandas as pd
import numpy as np
# want dif... | pandashells/bin/p_rand.py |
# standard library imports
import argparse
import textwrap
import sys # NOQA importing sys so I can mock sys.argv in tests
from pandashells.lib import module_checker_lib, arg_lib
module_checker_lib.check_for_modules(['pandas'])
from pandashells.lib import io_lib
import pandas as pd
import numpy as np
# want dif... | 0.586049 | 0.441733 |
EYE_LOOK_IN_LEFT = "eyeLookInLeft"
EYE_LOOK_OUT_LEFT = "eyeLookOutLeft"
EYE_LOOK_DOWN_LEFT = "eyeLookDownLeft"
EYE_LOOK_UP_LEFT = "eyeLookUpLeft"
EYE_BLINK_LEFT = "eyeBlinkLeft"
EYE_SQUINT_LEFT = "eyeSquintLeft"
EYE_WIDE_LEFT = "eyeWideLeft"
EYE_LOOK_IN_RIGHT = "eyeLookInRight"
EYE_LOOK_OUT_RIGHT = "eyeLookOutRight"
EY... | tha2/mocap/ifacialmocap_constants.py | EYE_LOOK_IN_LEFT = "eyeLookInLeft"
EYE_LOOK_OUT_LEFT = "eyeLookOutLeft"
EYE_LOOK_DOWN_LEFT = "eyeLookDownLeft"
EYE_LOOK_UP_LEFT = "eyeLookUpLeft"
EYE_BLINK_LEFT = "eyeBlinkLeft"
EYE_SQUINT_LEFT = "eyeSquintLeft"
EYE_WIDE_LEFT = "eyeWideLeft"
EYE_LOOK_IN_RIGHT = "eyeLookInRight"
EYE_LOOK_OUT_RIGHT = "eyeLookOutRight"
EY... | 0.323487 | 0.120284 |
import typing
from pathlib import Path
import dask.distributed
class DummyFuture(dask.distributed.Future):
"""
A class that mimics a distributed Future, the outcome of
performing submit on a distributed client.
"""
def __init__(self, result: typing.Any) -> None:
self._result = result # t... | autoPyTorch/utils/single_thread_client.py | import typing
from pathlib import Path
import dask.distributed
class DummyFuture(dask.distributed.Future):
"""
A class that mimics a distributed Future, the outcome of
performing submit on a distributed client.
"""
def __init__(self, result: typing.Any) -> None:
self._result = result # t... | 0.73914 | 0.52007 |
import cv2
import re
import numpy as np
import pytesseract
import tesserocr
from myPackage import tools as tl
from matplotlib import pyplot as plt
from os.path import basename, getsize
from PIL import Image
from sklearn.cluster import KMeans
def validateImage(nameImage, training= False):
if getsize(nameImage) != ... | myPackage/crotalProcessing.py | import cv2
import re
import numpy as np
import pytesseract
import tesserocr
from myPackage import tools as tl
from matplotlib import pyplot as plt
from os.path import basename, getsize
from PIL import Image
from sklearn.cluster import KMeans
def validateImage(nameImage, training= False):
if getsize(nameImage) != ... | 0.47658 | 0.313499 |
import socket
import hashlib
import sys
# RBN client
class Client:
server: str = "telnet.reversebeacon.net"
port: int = 7000
def connect(self, call: str):
# Open socket and connect
self.__sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.__sock.connect((self.server, s... | dxmon/gethash.py | import socket
import hashlib
import sys
# RBN client
class Client:
server: str = "telnet.reversebeacon.net"
port: int = 7000
def connect(self, call: str):
# Open socket and connect
self.__sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.__sock.connect((self.server, s... | 0.338296 | 0.252047 |
import itertools
import torch
import torch.nn as nn
from jactorch.functional import broadcast
from ._utils import exclude_mask, mask_value
__all__ = ['Expander', 'Reducer', 'Permutation']
class Expander(nn.Module):
def __init__(self, dim):
super().__init__()
self.dim = dim
def forward(se... | jactorch/nn/neural_logic/modules/dimension.py |
import itertools
import torch
import torch.nn as nn
from jactorch.functional import broadcast
from ._utils import exclude_mask, mask_value
__all__ = ['Expander', 'Reducer', 'Permutation']
class Expander(nn.Module):
def __init__(self, dim):
super().__init__()
self.dim = dim
def forward(se... | 0.900683 | 0.40116 |
import rospy
import ros_numpy
import numpy as np
import copy
import json
import os
import sys
import torch
import yaml
import time
from std_msgs.msg import Header
import sensor_msgs.point_cloud2 as pc2
from nav_msgs.msg import Odometry
from sensor_msgs.msg import PointCloud2, PointField
from jsk_recognition_msgs.msg i... | tools/multi_sweep_inference.py | import rospy
import ros_numpy
import numpy as np
import copy
import json
import os
import sys
import torch
import yaml
import time
from std_msgs.msg import Header
import sensor_msgs.point_cloud2 as pc2
from nav_msgs.msg import Odometry
from sensor_msgs.msg import PointCloud2, PointField
from jsk_recognition_msgs.msg i... | 0.512449 | 0.313499 |
from typing import Union, Dict, Optional, List
from CommonServerPython import * # noqa: E402 lgtm [py/polluting-import]
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
INTEGRATION_CONTEXT_BRAND = "DeHashed"
BASE_URL = "https://api.dehashed.com/"
RESULTS_FROM = 1
RESULTS_TO = 50
class Clie... | Packs/DeHashed/Integrations/DeHashed/DeHashed.py | from typing import Union, Dict, Optional, List
from CommonServerPython import * # noqa: E402 lgtm [py/polluting-import]
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
INTEGRATION_CONTEXT_BRAND = "DeHashed"
BASE_URL = "https://api.dehashed.com/"
RESULTS_FROM = 1
RESULTS_TO = 50
class Clie... | 0.908879 | 0.283786 |
from .format_types import Font, Alignment, Color
import warnings
from .defines import TagType
# TODO: text style supported as 4th field on Font obj. How does text_style work?
# * is /TS:style/ tag only shorthand for /F:::style/?
# * is it toggle bitfield or overwrite?
# * what happens if calling /END:TS/ after /F/ or ... | src/format.py | from .format_types import Font, Alignment, Color
import warnings
from .defines import TagType
# TODO: text style supported as 4th field on Font obj. How does text_style work?
# * is /TS:style/ tag only shorthand for /F:::style/?
# * is it toggle bitfield or overwrite?
# * what happens if calling /END:TS/ after /F/ or ... | 0.266166 | 0.211173 |