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 |
|---|---|---|---|---|
This material was prepared as an account of work sponsored by an
agency of the United States Government. Neither the United States
Government nor the United States Department of Energy, nor Battelle,
nor any of their employees, nor any jurisdiction or organization
that has cooperated in the development of these mat... | volttrontesting/zmq/test_zmq.py | This material was prepared as an account of work sponsored by an
agency of the United States Government. Neither the United States
Government nor the United States Department of Energy, nor Battelle,
nor any of their employees, nor any jurisdiction or organization
that has cooperated in the development of these mat... | 0.293303 | 0.179638 |
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Frequency'
db.create_table('qa_frequency', (
('id', self.gf('django.db.models.fields.AutoField')(primary... | qatrack/qa/migrations/0001_initial.py | import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Frequency'
db.create_table('qa_frequency', (
('id', self.gf('django.db.models.fields.AutoField')(primary... | 0.619932 | 0.096195 |
# node class for BST
class Node(object):
# initializes node
def __init__(self, key, data = None):
self.key = key
if data is None:
self.data = key
else:
self.data = data
self.left_child = None
self.right_child = None
# iterator generator for ... | binary_search_tree.py |
# node class for BST
class Node(object):
# initializes node
def __init__(self, key, data = None):
self.key = key
if data is None:
self.data = key
else:
self.data = data
self.left_child = None
self.right_child = None
# iterator generator for ... | 0.798383 | 0.335106 |
import re
import os
import logging
import traceback
from functools import wraps
from django.db import connection, models
from django.conf import settings
logger = logging.getLogger(__name__)
def debug_pg_notices(f):
@wraps(f)
def wrapped(*args, **kwargs):
before = len(connection.connection.notices... | geotrek/common/utils/postgresql.py | import re
import os
import logging
import traceback
from functools import wraps
from django.db import connection, models
from django.conf import settings
logger = logging.getLogger(__name__)
def debug_pg_notices(f):
@wraps(f)
def wrapped(*args, **kwargs):
before = len(connection.connection.notices... | 0.212968 | 0.075858 |
import numpy as np
import numpy.linalg as LA
from sklearn.neighbors import KDTree
import torch
from torch import nn
import config
# https://stackoverflow.com/questions/47060685/chamfer-distance-between-two-point-clouds-in-tensorflow
def array2samples_distance(array1, array2):
"""
arguments:
array1: th... | chamfer_loss.py | import numpy as np
import numpy.linalg as LA
from sklearn.neighbors import KDTree
import torch
from torch import nn
import config
# https://stackoverflow.com/questions/47060685/chamfer-distance-between-two-point-clouds-in-tensorflow
def array2samples_distance(array1, array2):
"""
arguments:
array1: th... | 0.808974 | 0.715747 |
import torch
import logging
from typing import Union
from torch import nn
from towhee.models.clip4clip.until_module import PreTrainedModel, CrossEn
from towhee.models.clip import CLIP, get_configs
logger = logging.getLogger(__name__)
class CLIP4ClipPreTrainedModel(PreTrainedModel, nn.Module):
""" An abstract cl... | towhee/models/clip4clip/clip4clip.py | import torch
import logging
from typing import Union
from torch import nn
from towhee.models.clip4clip.until_module import PreTrainedModel, CrossEn
from towhee.models.clip import CLIP, get_configs
logger = logging.getLogger(__name__)
class CLIP4ClipPreTrainedModel(PreTrainedModel, nn.Module):
""" An abstract cl... | 0.909033 | 0.408749 |
import os
import sys
import ceph_pool
from mock.mock import patch
sys.path.append('./library')
fake_user = 'client.admin'
fake_user_key = '/etc/ceph/ceph.client.admin.keyring'
fake_pool_name = 'foo'
fake_cluster_name = 'ceph'
fake_container_image_name = 'quay.ceph.io/ceph-ci/daemon:latest-luminous'
@patch.dict(os.en... | tests/library/test_ceph_pool.py | import os
import sys
import ceph_pool
from mock.mock import patch
sys.path.append('./library')
fake_user = 'client.admin'
fake_user_key = '/etc/ceph/ceph.client.admin.keyring'
fake_pool_name = 'foo'
fake_cluster_name = 'ceph'
fake_container_image_name = 'quay.ceph.io/ceph-ci/daemon:latest-luminous'
@patch.dict(os.en... | 0.255251 | 0.10316 |
from scipy.spatial import distance_matrix
import numpy as np
import cv2
def px_dist_matches(kpts1, kpts2, geo_info, thresh):
"""
Inputs:
kpts1: np.array (Nx2) of keypoint coordinates from image 1
kpts2: np.array (Mx2) of keypoint coordinates from image 2
Returns:
"""
... | python/bench/pixel_distance.py |
from scipy.spatial import distance_matrix
import numpy as np
import cv2
def px_dist_matches(kpts1, kpts2, geo_info, thresh):
"""
Inputs:
kpts1: np.array (Nx2) of keypoint coordinates from image 1
kpts2: np.array (Mx2) of keypoint coordinates from image 2
Returns:
"""
... | 0.672547 | 0.742375 |
# --------------------------------------------------------------------------
# because it is also executed from setup.py, make sure
# that it imports only modules, that for sure will exist at setup.py execution
# TRY TO KEEP IMPORTS TO MINIMUM
# -------------------------------------------------------------------------... | azure/Kqlmagic/_require.py |
# --------------------------------------------------------------------------
# because it is also executed from setup.py, make sure
# that it imports only modules, that for sure will exist at setup.py execution
# TRY TO KEEP IMPORTS TO MINIMUM
# -------------------------------------------------------------------------... | 0.329607 | 0.212763 |
import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import qdarkstyle
from PyQt5.QtSql import *
import time
class dropBookDialog(QDialog):
drop_book_successful_signal=pyqtSignal()
def __init__(self, parent=None):
super(dropBookDialog, self).__init__(parent)
... | dropBookDialog.py | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import qdarkstyle
from PyQt5.QtSql import *
import time
class dropBookDialog(QDialog):
drop_book_successful_signal=pyqtSignal()
def __init__(self, parent=None):
super(dropBookDialog, self).__init__(parent)
... | 0.153327 | 0.100746 |
from __future__ import print_function
from bcc import BPF
from time import sleep, strftime
from struct import pack
from socket import inet_ntop, AF_INET, AF_INET6
from struct import pack
import argparse
examples = """examples:
./tcpcong # show tcp congestion status duration
./tcpcong 1 10 ... | tools/tcpcong.py |
from __future__ import print_function
from bcc import BPF
from time import sleep, strftime
from struct import pack
from socket import inet_ntop, AF_INET, AF_INET6
from struct import pack
import argparse
examples = """examples:
./tcpcong # show tcp congestion status duration
./tcpcong 1 10 ... | 0.400515 | 0.123313 |
import logging
import os
import sys
import tempfile
import unittest
# TODO: No idea why pytype cannot find names from this module.
# pytype: disable=name-error
import iree.compiler.tools.tflite
if not iree.compiler.tools.tflite.is_available():
print(f"Skipping test {__file__} because the IREE TFLite compiler "
... | llvm-external-projects/iree-compiler-api/unittests/tools/compiler_tflite_test.py |
import logging
import os
import sys
import tempfile
import unittest
# TODO: No idea why pytype cannot find names from this module.
# pytype: disable=name-error
import iree.compiler.tools.tflite
if not iree.compiler.tools.tflite.is_available():
print(f"Skipping test {__file__} because the IREE TFLite compiler "
... | 0.157622 | 0.339007 |
# encoding: utf-8
'''
@author: <NAME>
@license: (C) Copyright @ <NAME>
@contact: <EMAIL>
@file: 227.py
@time: 2019/6/8 17:11
@desc:
'''
import collections
class Solution:
def calculate(self, s: str) -> int:
stack = collections.deque()
i = 0
while i < len(s):
if s[i] == '... | 227.py |
# encoding: utf-8
'''
@author: <NAME>
@license: (C) Copyright @ <NAME>
@contact: <EMAIL>
@file: 227.py
@time: 2019/6/8 17:11
@desc:
'''
import collections
class Solution:
def calculate(self, s: str) -> int:
stack = collections.deque()
i = 0
while i < len(s):
if s[i] == '... | 0.204342 | 0.226153 |
import os
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader, TensorDataset
from torch import optim
from torch.utils.tensorboard import SummaryWriter
import copy
from .oadam import OAdam
from .rbflayer import RBF
from .utilities import dprint
# TODO. This epsilon is used onl... | mliv/neuralnet/agmm_earlystop.py |
import os
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader, TensorDataset
from torch import optim
from torch.utils.tensorboard import SummaryWriter
import copy
from .oadam import OAdam
from .rbflayer import RBF
from .utilities import dprint
# TODO. This epsilon is used onl... | 0.59972 | 0.401834 |
import os
import numpy as np
from matplotlib.image import imread
from falco.mask import falco_gen_pupil_Roman_CGI_20200513
from falco.util import pad_crop, bin_downsample
def test_translation():
Nbeam = 100
centering = 'pixel'
pupil = falco_gen_pupil_Roman_CGI_20200513(Nbeam, centering)
changes = {"... | tests/unit/test_mask_pupil_Roman.py | import os
import numpy as np
from matplotlib.image import imread
from falco.mask import falco_gen_pupil_Roman_CGI_20200513
from falco.util import pad_crop, bin_downsample
def test_translation():
Nbeam = 100
centering = 'pixel'
pupil = falco_gen_pupil_Roman_CGI_20200513(Nbeam, centering)
changes = {"... | 0.502197 | 0.439928 |
import json
import time
import boto3
import os
textract = boto3.client('textract')
s3 = boto3.client('s3')
def handler(event, context):
message = json.loads(event['Records'][0]['Sns']['Message'])
jobId = message['JobId']
print("JobId="+jobId)
output_bucket = os.environ["OUT_PUT_S3_BUCKET"]
status... | src/lambda/extract_text_from_textract_async_job_output.py | import json
import time
import boto3
import os
textract = boto3.client('textract')
s3 = boto3.client('s3')
def handler(event, context):
message = json.loads(event['Records'][0]['Sns']['Message'])
jobId = message['JobId']
print("JobId="+jobId)
output_bucket = os.environ["OUT_PUT_S3_BUCKET"]
status... | 0.134037 | 0.07627 |
import collections
import dataclasses
import functools
import inspect
import re
import types
from typing import Any
import numpy as np
import torch
import torchdynamo
from .. import mutation_guard
from .. import skipfiles
from ..allowed_functions import is_allowed
from ..allowed_functions import is_builtin
from ..al... | torchdynamo/variables/builder.py | import collections
import dataclasses
import functools
import inspect
import re
import types
from typing import Any
import numpy as np
import torch
import torchdynamo
from .. import mutation_guard
from .. import skipfiles
from ..allowed_functions import is_allowed
from ..allowed_functions import is_builtin
from ..al... | 0.583203 | 0.095223 |
import arkit
import sys
import os
import argparse
import shutil
import subprocess
from collections import OrderedDict
import struct
from paths import *
from linux_utils import run_shell_command_as_user
from debug import get_logger
log = get_logger("moddodo")
SERVER_MOD_DIRECTORY = "ShooterGame/Content/Mods"
STEAMC... | moddodo.py | import arkit
import sys
import os
import argparse
import shutil
import subprocess
from collections import OrderedDict
import struct
from paths import *
from linux_utils import run_shell_command_as_user
from debug import get_logger
log = get_logger("moddodo")
SERVER_MOD_DIRECTORY = "ShooterGame/Content/Mods"
STEAMC... | 0.176636 | 0.058132 |
from AccessControl.class_init import InitializeClass
from AccessControl.SecurityInfo import ClassSecurityInfo
from Products.PageTemplates.PageTemplateFile import PageTemplateFile
from zope.interface import Interface
from ..interfaces.plugins import ICredentialsResetPlugin
from ..interfaces.plugins import ICredentialsU... | src/Products/PluggableAuthService/plugins/SessionAuthHelper.py | from AccessControl.class_init import InitializeClass
from AccessControl.SecurityInfo import ClassSecurityInfo
from Products.PageTemplates.PageTemplateFile import PageTemplateFile
from zope.interface import Interface
from ..interfaces.plugins import ICredentialsResetPlugin
from ..interfaces.plugins import ICredentialsU... | 0.45641 | 0.050214 |
from __future__ import annotations
import datetime
import functools
import typing
import json
from vuakhter.utils.constants import DEFAULT_CHUNK_SIZE, INT_RE, FLOAT_RE, UUID_RE, LOGGING_CONFIG
if typing.TYPE_CHECKING:
from vuakhter.utils.types import DateOrDatetime, RequestEntry
def chunks(
iterable: typin... | vuakhter/utils/helpers.py | from __future__ import annotations
import datetime
import functools
import typing
import json
from vuakhter.utils.constants import DEFAULT_CHUNK_SIZE, INT_RE, FLOAT_RE, UUID_RE, LOGGING_CONFIG
if typing.TYPE_CHECKING:
from vuakhter.utils.types import DateOrDatetime, RequestEntry
def chunks(
iterable: typin... | 0.634883 | 0.122733 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from sib_api_v3_sdk.api_client import ApiClient
class ProcessApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | sib_api_v3_sdk/api/process_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from sib_api_v3_sdk.api_client import ApiClient
class ProcessApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | 0.7011 | 0.050988 |
import os
from peewee import *
from NavigationDB.Marker.MarkerDB import Marker
def MarkerAdd():
'''
# Помощь для генерации маркеров
for id, val in enumerate([(490, 900), (700, 900), (450, 1158), (767, 1158), (790, 1573), (767, 1884), (975, 1900), (1100, 1792), (1100, 1594), (1100, 1490), (1050, 1370),
... | BSTU App/BSTU App/Database/DatabaseManagement/NavigationDB/Marker/GUK/Stage_1.py | import os
from peewee import *
from NavigationDB.Marker.MarkerDB import Marker
def MarkerAdd():
'''
# Помощь для генерации маркеров
for id, val in enumerate([(490, 900), (700, 900), (450, 1158), (767, 1158), (790, 1573), (767, 1884), (975, 1900), (1100, 1792), (1100, 1594), (1100, 1490), (1050, 1370),
... | 0.124639 | 0.222162 |
import json
import argparse
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("--scenario", type=str, default="hangzhou_1x1_bc-tyc_18041607_1h")
parser.add_argument("--num_step", type=int, default=3600)
return parser.parse_args()
def parse_roadnet(roadnetFile):
roadne... | Single_Agent/ScalableArchitecture/utility.py | import json
import argparse
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("--scenario", type=str, default="hangzhou_1x1_bc-tyc_18041607_1h")
parser.add_argument("--num_step", type=int, default=3600)
return parser.parse_args()
def parse_roadnet(roadnetFile):
roadne... | 0.401219 | 0.127273 |
from datetime import timedelta
import json
from homeassistant.components.metoffice.const import DOMAIN
from homeassistant.const import STATE_UNAVAILABLE
from homeassistant.util import utcnow
from . import NewDateTime
from .const import (
METOFFICE_CONFIG_KINGSLYNN,
METOFFICE_CONFIG_WAVERTREE,
WAVERTREE_SE... | tests/components/metoffice/test_weather.py | from datetime import timedelta
import json
from homeassistant.components.metoffice.const import DOMAIN
from homeassistant.const import STATE_UNAVAILABLE
from homeassistant.util import utcnow
from . import NewDateTime
from .const import (
METOFFICE_CONFIG_KINGSLYNN,
METOFFICE_CONFIG_WAVERTREE,
WAVERTREE_SE... | 0.695441 | 0.264542 |
from setuptools import setup, find_packages
import io
VERSION = '1.0.8'
NAME = 'canaro'
AUTHOR = '<NAME>'
AUTHOR_EMAIL = '<EMAIL>'
AUTHOR_LONG = AUTHOR + ' <' + AUTHOR_EMAIL + '>'
LICENSE = 'MIT'
URL = 'https://github.com/jasmcaus/canaro'
DOWNLOAD_URL = 'https://pypi.org/project/canaro/'
PACKAGES = find_packages()
D... | setup.py | from setuptools import setup, find_packages
import io
VERSION = '1.0.8'
NAME = 'canaro'
AUTHOR = '<NAME>'
AUTHOR_EMAIL = '<EMAIL>'
AUTHOR_LONG = AUTHOR + ' <' + AUTHOR_EMAIL + '>'
LICENSE = 'MIT'
URL = 'https://github.com/jasmcaus/canaro'
DOWNLOAD_URL = 'https://pypi.org/project/canaro/'
PACKAGES = find_packages()
D... | 0.489503 | 0.170456 |
from typing import Callable
import aesara.tensor as aet
import numpy as np
from aesara.tensor.random.utils import RandomStream
from aesara.tensor.var import TensorVariable
from aehmc import hmc, integrators, metrics
from aehmc.termination import iterative_uturn
from aehmc.trajectory import dynamic_integration, multip... | aehmc/nuts.py | from typing import Callable
import aesara.tensor as aet
import numpy as np
from aesara.tensor.random.utils import RandomStream
from aesara.tensor.var import TensorVariable
from aehmc import hmc, integrators, metrics
from aehmc.termination import iterative_uturn
from aehmc.trajectory import dynamic_integration, multip... | 0.926416 | 0.81457 |
import pytest
import numpy as np
from pytest import approx
from datetime import datetime
import gemini3d.msis as gp
@pytest.mark.skipif(
gp.get_msis_exe() is None,
reason="need to build msis_setup by gemini3d.setup_libs()",
)
@pytest.mark.parametrize("version", [0, 20])
def test_msis(version, tmp_path):
... | src/gemini3d/tests/intg/test_msis.py | import pytest
import numpy as np
from pytest import approx
from datetime import datetime
import gemini3d.msis as gp
@pytest.mark.skipif(
gp.get_msis_exe() is None,
reason="need to build msis_setup by gemini3d.setup_libs()",
)
@pytest.mark.parametrize("version", [0, 20])
def test_msis(version, tmp_path):
... | 0.435421 | 0.617051 |
"""Inception - reduced version of keras/applications/inception_v3.py ."""
from kws_streaming.layers import modes
from kws_streaming.layers import speech_features
from kws_streaming.layers.compat import tf
import kws_streaming.models.model_utils as utils
def model_parameters(parser_nn):
"""Inception model parameter... | kws_streaming/models/inception.py |
"""Inception - reduced version of keras/applications/inception_v3.py ."""
from kws_streaming.layers import modes
from kws_streaming.layers import speech_features
from kws_streaming.layers.compat import tf
import kws_streaming.models.model_utils as utils
def model_parameters(parser_nn):
"""Inception model parameter... | 0.954308 | 0.274372 |
from skorch.net import NeuralNet
from ray_skorch.utils import insert_before_substring
_docstring_neural_net_ray_args = """ num_workers : int
Number of Ray Train workers to use.
"""
_docstring_neural_net_ray_worker_dataset = """ worker_dataset : torch Dataset (default=skorch.dataset.Dataset)
Same a... | ray_skorch/docs.py | from skorch.net import NeuralNet
from ray_skorch.utils import insert_before_substring
_docstring_neural_net_ray_args = """ num_workers : int
Number of Ray Train workers to use.
"""
_docstring_neural_net_ray_worker_dataset = """ worker_dataset : torch Dataset (default=skorch.dataset.Dataset)
Same a... | 0.924488 | 0.419113 |
import os
import sys
import argparse
import traceback
import signal
from datetime import datetime, timedelta
from functools import wraps
from typing import TypeVar
from .constants import (DEVICE_TYPES, BAUDRATE_LIST, INTERFACES)
from .utils.print import print_red
from .utils.resource import is_dev_mode
T = TypeVar('T... | src/aceinna/framework/decorator.py | import os
import sys
import argparse
import traceback
import signal
from datetime import datetime, timedelta
from functools import wraps
from typing import TypeVar
from .constants import (DEVICE_TYPES, BAUDRATE_LIST, INTERFACES)
from .utils.print import print_red
from .utils.resource import is_dev_mode
T = TypeVar('T... | 0.468061 | 0.09709 |
import os
import json
from collect.configV2 import *
from collect.code_processing_all import get_buggy_path
def get_trigger_path(path_projects, name_list):
"""
return path list
"""
res = []
for name in name_list:
tmp = path_projects + name + '/trigger_tests'
res.append(tmp)
ret... | collect/save_test_case.py | import os
import json
from collect.configV2 import *
from collect.code_processing_all import get_buggy_path
def get_trigger_path(path_projects, name_list):
"""
return path list
"""
res = []
for name in name_list:
tmp = path_projects + name + '/trigger_tests'
res.append(tmp)
ret... | 0.150871 | 0.105948 |
from django.db import models
from django.contrib import admin
import datetime
from decimal import Decimal
# Create your models here.
class Curso(models.Model):
nome = models.CharField("Nome", max_length=50)
carga_horaria = models.IntegerField("Carga Horária")
professor = models.CharField("Coordenador", max... | core/models.py | from django.db import models
from django.contrib import admin
import datetime
from decimal import Decimal
# Create your models here.
class Curso(models.Model):
nome = models.CharField("Nome", max_length=50)
carga_horaria = models.IntegerField("Carga Horária")
professor = models.CharField("Coordenador", max... | 0.564939 | 0.156588 |
__copyright__ = 'Copyright (c) 2016, V-Squared, Portland State University'
__license__ = 'CreativeCommons'
import sys
from os import path, mkdir
import logging
import pprint
import time
import argparse
import whemulator
def main():
emu = whemulator.Emu(**vars(parse_args()))
emu.run()
def parse_args():
... | whSGD/main.py | __copyright__ = 'Copyright (c) 2016, V-Squared, Portland State University'
__license__ = 'CreativeCommons'
import sys
from os import path, mkdir
import logging
import pprint
import time
import argparse
import whemulator
def main():
emu = whemulator.Emu(**vars(parse_args()))
emu.run()
def parse_args():
... | 0.334698 | 0.093182 |
import copy
import numpy as nu
from galpy.actionAngle_src.actionAngle import actionAngle
from galpy.potential import IsochronePotential
class actionAngleIsochrone(object):
"""Action-angle formalism for the isochrone potential, on the Jphi, Jtheta system of Binney & Tremaine (2008)"""
def __init__(self,*args,**k... | galpy/actionAngle_src/actionAngleIsochrone.py | import copy
import numpy as nu
from galpy.actionAngle_src.actionAngle import actionAngle
from galpy.potential import IsochronePotential
class actionAngleIsochrone(object):
"""Action-angle formalism for the isochrone potential, on the Jphi, Jtheta system of Binney & Tremaine (2008)"""
def __init__(self,*args,**k... | 0.569015 | 0.26866 |
import collections
from enum import Enum
from vtypes import (
VString,
VInt,
VBool,
VUnsignedInt,
VDict,
VValidatorDict,
VList,
VDate,
VDateTime,
VTime,
VEnum,
Validator,
)
class Props(object):
@classmethod
def _attrs(cls):
return [name for name in dir(... | mythtv_client/models.py | import collections
from enum import Enum
from vtypes import (
VString,
VInt,
VBool,
VUnsignedInt,
VDict,
VValidatorDict,
VList,
VDate,
VDateTime,
VTime,
VEnum,
Validator,
)
class Props(object):
@classmethod
def _attrs(cls):
return [name for name in dir(... | 0.667473 | 0.115112 |
import json
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_leaflet as dl
import settings
from dash.dependencies import Output, Input
# Mapbox setup
mapbox_url = "https://api.mapbox.com/styles/v1/mapbox/{id}/tiles/{{z}}/{{x}}/{{y}}{{r}}?access_token={access_token}"
mapbo... | usage_gallery.py | import json
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_leaflet as dl
import settings
from dash.dependencies import Output, Input
# Mapbox setup
mapbox_url = "https://api.mapbox.com/styles/v1/mapbox/{id}/tiles/{{z}}/{{x}}/{{y}}{{r}}?access_token={access_token}"
mapbo... | 0.599837 | 0.240251 |
import unittest
from backward import Backward
# ---------------------------------------------------------------------
class TestRead(unittest.TestCase):
def test_empty(self):
ctx = Backward()
ans = ctx.read("")
self.assertEqual(str(ans), "[]")
def test_atom(self):
ctx = Ba... | tests/test_read.py |
import unittest
from backward import Backward
# ---------------------------------------------------------------------
class TestRead(unittest.TestCase):
def test_empty(self):
ctx = Backward()
ans = ctx.read("")
self.assertEqual(str(ans), "[]")
def test_atom(self):
ctx = Ba... | 0.683525 | 0.489137 |
import os
import types
import base64
import datetime
import time
import hashlib
import hmac
import urllib2
import httplib
import ast
import sys
from xml.dom import minidom
from azure.http import HTTPError, HTTPResponse
from azure import _USER_AGENT_STRING
class _HTTPClient:
'''
Takes the request and sends it... | azure/http/httpclient.py | import os
import types
import base64
import datetime
import time
import hashlib
import hmac
import urllib2
import httplib
import ast
import sys
from xml.dom import minidom
from azure.http import HTTPError, HTTPResponse
from azure import _USER_AGENT_STRING
class _HTTPClient:
'''
Takes the request and sends it... | 0.266357 | 0.060641 |
from . import types
import abc
import logging
import functools
logger = logging.getLogger(__name__)
def cache(function=None, *, types=None):
'''
This decorator will store the results of a visitor method
in self.cache and retrieve it if the id of a new object
matches one in the cache.
This simult... | align/schema/visitor.py | from . import types
import abc
import logging
import functools
logger = logging.getLogger(__name__)
def cache(function=None, *, types=None):
'''
This decorator will store the results of a visitor method
in self.cache and retrieve it if the id of a new object
matches one in the cache.
This simult... | 0.610802 | 0.462291 |
import pygame
import sys
import random
areaSize = 30
tileSize = 20
headColor = (0, 100, 0)
bodyColor = (0, 200, 0)
foodColor = (200, 0, 0)
gameSpeed = 10
class Snake():
def __init__(self):
self.head = [5, 5]
self.body = [[self.head[0], self.head[1]], [5, 6], [5, 7], [6, 8]]
self.direction ... | Snake Game (Python)/snake.pyw | import pygame
import sys
import random
areaSize = 30
tileSize = 20
headColor = (0, 100, 0)
bodyColor = (0, 200, 0)
foodColor = (200, 0, 0)
gameSpeed = 10
class Snake():
def __init__(self):
self.head = [5, 5]
self.body = [[self.head[0], self.head[1]], [5, 6], [5, 7], [6, 8]]
self.direction ... | 0.262275 | 0.238151 |
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import bilinear_zpk, unit_impulse, sos2zpk, zpk2sos,\
sosfilt, sosfreqz
from matplotlib.ticker import MultipleLocator
from util import low_shelving_2nd_cascade, shelving_filter_parameters,\
db, set_rcparams, s... | python/mkfig-digital-3db-per-octave-shelving-filter.py | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import bilinear_zpk, unit_impulse, sos2zpk, zpk2sos,\
sosfilt, sosfreqz
from matplotlib.ticker import MultipleLocator
from util import low_shelving_2nd_cascade, shelving_filter_parameters,\
db, set_rcparams, s... | 0.619011 | 0.3671 |
import datetime
from dateutil.relativedelta import relativedelta
from django import forms
from django.templatetags.static import static
class BulkSchedCreateForm(forms.Form):
"""Form for bulk_sched."""
error_css_class = "is-invalid"
required_css_class = "required"
EVENT_CHOICES = (
(None, "... | bulk_sched/forms.py | import datetime
from dateutil.relativedelta import relativedelta
from django import forms
from django.templatetags.static import static
class BulkSchedCreateForm(forms.Form):
"""Form for bulk_sched."""
error_css_class = "is-invalid"
required_css_class = "required"
EVENT_CHOICES = (
(None, "... | 0.526343 | 0.213193 |
import sys
import re
def score_entities(tokens, key_extents, response_extents, key_attrs, response_attrs):
fh1 = open(tokens)
fh2 = open(key_extents)
fh3 = open(response_extents)
fh4 = open(key_attrs)
fh5 = open(response_attrs)
scores = Scores()
for line in fh1:
try:
... | extras/score_entities.py | import sys
import re
def score_entities(tokens, key_extents, response_extents, key_attrs, response_attrs):
fh1 = open(tokens)
fh2 = open(key_extents)
fh3 = open(response_extents)
fh4 = open(key_attrs)
fh5 = open(response_attrs)
scores = Scores()
for line in fh1:
try:
... | 0.19521 | 0.174481 |
import streamlit as st
try:
from keywords import *
from colored_expanders import add_color_to_expanders
from render_to_do_list import to_do_list_from_lines
from render_true_or_false import true_or_false_from_lines
from render_multiple_choice import multiple_choice_from_lines
from render_single_... | streamlit_book/render.py | import streamlit as st
try:
from keywords import *
from colored_expanders import add_color_to_expanders
from render_to_do_list import to_do_list_from_lines
from render_true_or_false import true_or_false_from_lines
from render_multiple_choice import multiple_choice_from_lines
from render_single_... | 0.17849 | 0.121217 |
import numpy as np
import matplotlib.pylab as plt
from netCDF4 import Dataset
import matplotlib
import cartopy.crs as ccrs
import seaborn as sns
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import matplotlib.ticker as mticker
import math
from numba import jit
import cartopy.mpl.ticker as ct... | figures/figure3/figure3 5subfig.py | import numpy as np
import matplotlib.pylab as plt
from netCDF4 import Dataset
import matplotlib
import cartopy.crs as ccrs
import seaborn as sns
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import matplotlib.ticker as mticker
import math
from numba import jit
import cartopy.mpl.ticker as ct... | 0.27048 | 0.418816 |
import asyncio
import collections
import pytest
import prpc
@pytest.mark.async_test
async def test_properties(event_loop, rpc_local):
"Check connection public properties and (very) basic state transitions."
rpc = rpc_local(None, None, event_loop)
assert not rpc.client_connection.connected
assert n... | prpc/test/test_connection.py |
import asyncio
import collections
import pytest
import prpc
@pytest.mark.async_test
async def test_properties(event_loop, rpc_local):
"Check connection public properties and (very) basic state transitions."
rpc = rpc_local(None, None, event_loop)
assert not rpc.client_connection.connected
assert n... | 0.572484 | 0.413832 |
from PySide2 import QtCore
from PySide2.QtCore import Slot
from eventnodes.base import ComputeNode
from eventnodes.params import StringParam, IntParam, PARAM, EnumParam
from eventnodes.signal import Signal, INPUT_PLUG, OUTPUT_PLUG
from eventnodes.image.imageparam import ImageParam
import sys
from PIL import Image
... | nodes/camera.py | from PySide2 import QtCore
from PySide2.QtCore import Slot
from eventnodes.base import ComputeNode
from eventnodes.params import StringParam, IntParam, PARAM, EnumParam
from eventnodes.signal import Signal, INPUT_PLUG, OUTPUT_PLUG
from eventnodes.image.imageparam import ImageParam
import sys
from PIL import Image
... | 0.594669 | 0.207155 |
__author__="ymotongpoo <<EMAIL>>"
__date__ ="$2009/02/01 18:30:41$"
__version__="$Revision: 0.10"
__credits__="0x7d8 -- programming training"
import urllib
from HTMLParser import HTMLParser, HTMLParseError
import re # temporary for invalid HTML of hatena bookmark web page
class ExtractEntryInfo(HTMLParser):
def ... | 0x7d8/Yonda/Buzzurl.py | __author__="ymotongpoo <<EMAIL>>"
__date__ ="$2009/02/01 18:30:41$"
__version__="$Revision: 0.10"
__credits__="0x7d8 -- programming training"
import urllib
from HTMLParser import HTMLParser, HTMLParseError
import re # temporary for invalid HTML of hatena bookmark web page
class ExtractEntryInfo(HTMLParser):
def ... | 0.193071 | 0.111531 |
from django.core.urlresolvers import reverse
from communique.utils.utils_tests import ViewsTestCase
from medical.models import MedicalReport, MedicalReportType
from patients.models import Patient
class MedicalReportTypeListViewTestCase(ViewsTestCase):
"""
Test cases for the view that lists report types
... | medical/tests/test_views.py | from django.core.urlresolvers import reverse
from communique.utils.utils_tests import ViewsTestCase
from medical.models import MedicalReport, MedicalReportType
from patients.models import Patient
class MedicalReportTypeListViewTestCase(ViewsTestCase):
"""
Test cases for the view that lists report types
... | 0.583085 | 0.354238 |
import matplotlib.pyplot as plt
import os
import numpy as np
colors = [
'orange',
'green',
'royalblue',
'purple',
'red',
'gold'
]
def get_data(metric, run_id=None, run_path=None):
if run_path is not None:
metric_file_path = run_path + '/metric-' + metric + '.txt'
else:
... | graphs/fid_graph.py | import matplotlib.pyplot as plt
import os
import numpy as np
colors = [
'orange',
'green',
'royalblue',
'purple',
'red',
'gold'
]
def get_data(metric, run_id=None, run_path=None):
if run_path is not None:
metric_file_path = run_path + '/metric-' + metric + '.txt'
else:
... | 0.390708 | 0.285086 |
import uuid
from typing import List, Dict
import unittest
from selfhost_client import SelfHostClient, UserType, PolicyType, UserTokenType, CreatedUserTokenResponse
class TestIntegrationUsersClient(unittest.TestCase):
"""
Run these tests individually because Self-Host will return HTTP 429 Too Many Requests o... | test/integration_tests/test_integration_users_client.py | import uuid
from typing import List, Dict
import unittest
from selfhost_client import SelfHostClient, UserType, PolicyType, UserTokenType, CreatedUserTokenResponse
class TestIntegrationUsersClient(unittest.TestCase):
"""
Run these tests individually because Self-Host will return HTTP 429 Too Many Requests o... | 0.732974 | 0.245108 |
from PySide2.QtGui import QColor
from PySide2.QtWidgets import QDialog, QVBoxLayout, QHBoxLayout, QListWidget, QListView, QStackedWidget, QWidget, \
QGroupBox, QLabel, QCheckBox, QPushButton, QLineEdit, QListWidgetItem, QScrollArea, QFrame, QComboBox, QSizePolicy
from PySide2.QtCore import QSize
from ..widgets.qco... | angrmanagement/ui/dialogs/preferences.py | from PySide2.QtGui import QColor
from PySide2.QtWidgets import QDialog, QVBoxLayout, QHBoxLayout, QListWidget, QListView, QStackedWidget, QWidget, \
QGroupBox, QLabel, QCheckBox, QPushButton, QLineEdit, QListWidgetItem, QScrollArea, QFrame, QComboBox, QSizePolicy
from PySide2.QtCore import QSize
from ..widgets.qco... | 0.379493 | 0.066327 |
import torch
from torch import nn
import torch.nn.functional as F
from typing import List
class CrossModalAttentionLayer(nn.Module):
# y attends x
def __init__(self, k, x_channels: int, y_size: int, spatial=True):
super(CrossModalAttentionLayer, self).__init__()
self.k = k
self.spatial... | src/models/attention_block.py | import torch
from torch import nn
import torch.nn.functional as F
from typing import List
class CrossModalAttentionLayer(nn.Module):
# y attends x
def __init__(self, k, x_channels: int, y_size: int, spatial=True):
super(CrossModalAttentionLayer, self).__init__()
self.k = k
self.spatial... | 0.939157 | 0.65166 |
from google.appengine.ext import db
class ChoiceProperty(db.IntegerProperty):
"""A property for efficiently storing choices made from a finite set.
This works by mapping each choice to an integer. The choices must be hashable
(so that they can be efficiently mapped back to their corresponding index).
"""
... | catnado/properties/choice_property.py | from google.appengine.ext import db
class ChoiceProperty(db.IntegerProperty):
"""A property for efficiently storing choices made from a finite set.
This works by mapping each choice to an integer. The choices must be hashable
(so that they can be efficiently mapped back to their corresponding index).
"""
... | 0.712232 | 0.338309 |
from collections import ChainMap
import pathlib
import re
from pybtex.database import parse_string
from pydictionaria.sfm_lib import Database as SFM, Entry
from pydictionaria import sfm2cldf
from cldfbench import CLDFSpec, Dataset as BaseDataset
EID_PATTERN = re.compile('(?P<eid>TSE[0-9]+)')
def reorganize(sfm):
... | cldfbench_tseltal.py | from collections import ChainMap
import pathlib
import re
from pybtex.database import parse_string
from pydictionaria.sfm_lib import Database as SFM, Entry
from pydictionaria import sfm2cldf
from cldfbench import CLDFSpec, Dataset as BaseDataset
EID_PATTERN = re.compile('(?P<eid>TSE[0-9]+)')
def reorganize(sfm):
... | 0.568775 | 0.166675 |
COMMENTS = 'comments = null : varchar(4000)'
DESCRIPTION = 'description = null : varchar(4000) # (detailed) description'
PRIMARY_NAME = '{name} : <lookupname> # {comment}'
TAGS = 'tags = null : <tags> # comma-separated tags'
DICTTAGS = 'dict = null: <dicttags> # comma-separated tags with key=value format'
NEURAL_RECORD... | loris/database/table_mixin.py | COMMENTS = 'comments = null : varchar(4000)'
DESCRIPTION = 'description = null : varchar(4000) # (detailed) description'
PRIMARY_NAME = '{name} : <lookupname> # {comment}'
TAGS = 'tags = null : <tags> # comma-separated tags'
DICTTAGS = 'dict = null: <dicttags> # comma-separated tags with key=value format'
NEURAL_RECORD... | 0.679285 | 0.181372 |
import logging
import datajoint as dj
import hashlib
log = logging.getLogger(__name__)
# safe-guard in case `custom` is not provided
if 'custom' not in dj.config:
dj.config['custom'] = {}
def get_schema_name(name):
try:
return dj.config['custom']['{}.database'.format(name)]
except KeyError:
... | pipeline/__init__.py | import logging
import datajoint as dj
import hashlib
log = logging.getLogger(__name__)
# safe-guard in case `custom` is not provided
if 'custom' not in dj.config:
dj.config['custom'] = {}
def get_schema_name(name):
try:
return dj.config['custom']['{}.database'.format(name)]
except KeyError:
... | 0.585457 | 0.153074 |
# Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Writes a .json file with the per-apk details for an incremental install."""
import argparse
import json
import os
import sys
sys.path.append(os.path.jo... | src/build/android/incremental_install/write_installer_json.py |
# Copyright 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Writes a .json file with the per-apk details for an incremental install."""
import argparse
import json
import os
import sys
sys.path.append(os.path.jo... | 0.685213 | 0.089177 |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate... | benchmarks/SimResults/micro_pinned_train_combos/cmpB_sjengpovrayomnetppmilc/power.py | power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate... | 0.608012 | 0.291605 |
"""This module contains Google Drive sensors."""
from typing import Optional, Sequence, Union
from airflow.providers.google.suite.hooks.drive import GoogleDriveHook
from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
class GoogleDriveFileExistenceS... | airflow/providers/google/suite/sensors/drive.py | """This module contains Google Drive sensors."""
from typing import Optional, Sequence, Union
from airflow.providers.google.suite.hooks.drive import GoogleDriveHook
from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
class GoogleDriveFileExistenceS... | 0.930813 | 0.392803 |
from __future__ import absolute_import # so we can import root 'aria'
from aria.parser.loading import LiteralLocation
from aria.parser.consumption import (
ConsumptionContext,
ConsumerChain,
Read,
Validate,
ServiceTemplate
)
from aria.utils.imports import import_fullname
from . import (Parser, P... | tests/mechanisms/parsing/aria.py |
from __future__ import absolute_import # so we can import root 'aria'
from aria.parser.loading import LiteralLocation
from aria.parser.consumption import (
ConsumptionContext,
ConsumerChain,
Read,
Validate,
ServiceTemplate
)
from aria.utils.imports import import_fullname
from . import (Parser, P... | 0.620622 | 0.057308 |
import numpy as np
class Projectile():
def __init__(self,server, pid, x, y, vx, vy):
self.server=server
self.pid=pid
self.kind='Projectile'
self.x=x
self.y=y
self.vx=vx
self.vy=vy
self.tick=0
self.event='None'
self.r=5
def... | server/main/projectile.py | import numpy as np
class Projectile():
def __init__(self,server, pid, x, y, vx, vy):
self.server=server
self.pid=pid
self.kind='Projectile'
self.x=x
self.y=y
self.vx=vx
self.vy=vy
self.tick=0
self.event='None'
self.r=5
def... | 0.226869 | 0.113629 |
import tensorflow as tf
import numpy as np
import pickle
import json
import cv2
import sys
import os
import time
sys.path.append(os.path.abspath(os.path.join('..', '3rd_party')))
from ServiceMTCNN import detect_face as lib
def extract_faces_from_image(input_img, pnet, rnet, onet):
# sess = tf.Session()
# pne... | src/face_extraction.py | import tensorflow as tf
import numpy as np
import pickle
import json
import cv2
import sys
import os
import time
sys.path.append(os.path.abspath(os.path.join('..', '3rd_party')))
from ServiceMTCNN import detect_face as lib
def extract_faces_from_image(input_img, pnet, rnet, onet):
# sess = tf.Session()
# pne... | 0.283583 | 0.253601 |
from bokeh.models.mappers import CategoricalColorMapper,LinearColorMapper
from bokeh.models import (GMapOptions, Patches,GMapPlot,Range1d,ColorBar,
WheelZoomTool,PanTool,TapTool,ColumnDataSource, Circle,FixedTicker)
import dill
from bokeh.plotting import gmap
from bokeh.models.glyphs import Mul... | static/Subway.py | from bokeh.models.mappers import CategoricalColorMapper,LinearColorMapper
from bokeh.models import (GMapOptions, Patches,GMapPlot,Range1d,ColorBar,
WheelZoomTool,PanTool,TapTool,ColumnDataSource, Circle,FixedTicker)
import dill
from bokeh.plotting import gmap
from bokeh.models.glyphs import Mul... | 0.489259 | 0.382257 |
import cv2
import numpy as np
from matplotlib import pylab as plt
# Camera internals
focal_length = 718.856
center = (607.1928, 185.2157)
camera_matrix = np.array(
[[focal_length, 0, center[0]],
[0, focal_length, center[1]],
[0, 0, 1]], dtype... | tools/testPoseEstimation.py |
import cv2
import numpy as np
from matplotlib import pylab as plt
# Camera internals
focal_length = 718.856
center = (607.1928, 185.2157)
camera_matrix = np.array(
[[focal_length, 0, center[0]],
[0, focal_length, center[1]],
[0, 0, 1]], dtype... | 0.458349 | 0.433082 |
from ..biotools import windows_overlap
import itertools
import numpy as np
class MutationChoice:
"""Represent a segment of a sequence with several possible variants.
Parameters
----------
segment
A pair (start, end) indicating the range of nucleotides concerned. We
are applying Python ra... | dnachisel/MutationSpace/MutationChoice.py | from ..biotools import windows_overlap
import itertools
import numpy as np
class MutationChoice:
"""Represent a segment of a sequence with several possible variants.
Parameters
----------
segment
A pair (start, end) indicating the range of nucleotides concerned. We
are applying Python ra... | 0.850018 | 0.487673 |
import pandas as pd
import numpy as np
from sklearn.linear_model import ElasticNet, ElasticNetCV
from sklearn.model_selection import RepeatedKFold, GridSearchCV
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
from scripts.python.routines.betas import betas_drop_na
import pickle
import rand... | scripts/python/dataset_specific/GSEUNN/tasks/020_agena.py | import pandas as pd
import numpy as np
from sklearn.linear_model import ElasticNet, ElasticNetCV
from sklearn.model_selection import RepeatedKFold, GridSearchCV
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
from scripts.python.routines.betas import betas_drop_na
import pickle
import rand... | 0.643329 | 0.271095 |
import uuid
import django_filters
import taggit
from django import forms
from django.conf import settings as django_settings
from django.contrib import auth
from django.contrib.contenttypes.models import ContentType
from django.core import exceptions
from django.db.models import Q
from django.db.models.functions impor... | src/waldur_core/structure/filters.py | import uuid
import django_filters
import taggit
from django import forms
from django.conf import settings as django_settings
from django.contrib import auth
from django.contrib.contenttypes.models import ContentType
from django.core import exceptions
from django.db.models import Q
from django.db.models.functions impor... | 0.529993 | 0.092893 |
import os
import asyncio
import logging
import logging.handlers
from dotenv import load_dotenv
import discord
from discord.ext import commands
import utils
# Establish Project Directories
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ASSETS_DIR = os.path.join(BASE_DIR, 'assets')
LOGS_DIR =... | src/bot.py |
import os
import asyncio
import logging
import logging.handlers
from dotenv import load_dotenv
import discord
from discord.ext import commands
import utils
# Establish Project Directories
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
ASSETS_DIR = os.path.join(BASE_DIR, 'assets')
LOGS_DIR =... | 0.385837 | 0.054024 |
import unittest
import unittest.mock as um
import pytest
from mmda.parsers.grobid_parser import GrobidHeaderParser
XML_OK = open("tests/fixtures/grobid-tei-maml-header.xml").read()
XML_NO_TITLE = open("tests/fixtures/grobid-tei-no-title.xml").read()
XML_NO_ABS = open("tests/fixtures/grobid-tei-no-abstract.xml").read(... | tests/test_parsers/test_grobid_header_parser.py | import unittest
import unittest.mock as um
import pytest
from mmda.parsers.grobid_parser import GrobidHeaderParser
XML_OK = open("tests/fixtures/grobid-tei-maml-header.xml").read()
XML_NO_TITLE = open("tests/fixtures/grobid-tei-no-title.xml").read()
XML_NO_ABS = open("tests/fixtures/grobid-tei-no-abstract.xml").read(... | 0.634656 | 0.290396 |
import logging
import requests
import argparse
import os
from bot.vpn_bot import VPNBot
from telegram.ext import Updater, CommandHandler, MessageHandler, ConversationHandler, Filters
requests.packages.urllib3.disable_warnings()
TOKEN = os.getenv('TELEGRAM_TOKEN')
VPN_LIMIT_GB = 10
def launch():
argparse.Argum... | vpn_bot/main.py | import logging
import requests
import argparse
import os
from bot.vpn_bot import VPNBot
from telegram.ext import Updater, CommandHandler, MessageHandler, ConversationHandler, Filters
requests.packages.urllib3.disable_warnings()
TOKEN = os.getenv('TELEGRAM_TOKEN')
VPN_LIMIT_GB = 10
def launch():
argparse.Argum... | 0.407923 | 0.047914 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def drinks_wages(path):
"""Elderton and Pearson's (1910) data on drinking and wages
In 1910, <... | observations/r/drinks_wages.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def drinks_wages(path):
"""Elderton and Pearson's (1910) data on drinking and wages
In 1910, <... | 0.667039 | 0.508605 |
import unittest
class TestTopic(unittest.TestCase):
PROJECT = 'PROJECT'
TOPIC_NAME = 'topic_name'
TOPIC_PATH = 'projects/%s/topics/%s' % (PROJECT, TOPIC_NAME)
def _getTargetClass(self):
from google.cloud.pubsub.topic import Topic
return Topic
def _makeOne(self, *args, **kw):
... | unit_tests/pubsub/test_topic.py |
import unittest
class TestTopic(unittest.TestCase):
PROJECT = 'PROJECT'
TOPIC_NAME = 'topic_name'
TOPIC_PATH = 'projects/%s/topics/%s' % (PROJECT, TOPIC_NAME)
def _getTargetClass(self):
from google.cloud.pubsub.topic import Topic
return Topic
def _makeOne(self, *args, **kw):
... | 0.455441 | 0.206464 |
from types import FunctionType
from typing import Any, Optional, Tuple
import torch
from torch import Tensor
from torch.utils.data import DataLoader, Dataset, TensorDataset
class BatchDataset(Dataset):
def __init__(self, dataset: Dataset, batch_size: int) -> None:
self.dataset = dataset
self.batc... | src/utils/data/dataset.py | from types import FunctionType
from typing import Any, Optional, Tuple
import torch
from torch import Tensor
from torch.utils.data import DataLoader, Dataset, TensorDataset
class BatchDataset(Dataset):
def __init__(self, dataset: Dataset, batch_size: int) -> None:
self.dataset = dataset
self.batc... | 0.933218 | 0.695765 |
# Lint as: python3
"""Utility functions for membership inference attacks."""
from typing import Text, Dict, Union, List, Any, Tuple
import numpy as np
import scipy.special
from sklearn import metrics
import tensorflow.compat.v1 as tf
ArrayDict = Dict[Text, np.ndarray]
Dataset = Tuple[Tuple[np.ndarray, np.ndarray], ... | privacy/tensorflow_privacy/privacy/membership_inference_attack/utils.py |
# Lint as: python3
"""Utility functions for membership inference attacks."""
from typing import Text, Dict, Union, List, Any, Tuple
import numpy as np
import scipy.special
from sklearn import metrics
import tensorflow.compat.v1 as tf
ArrayDict = Dict[Text, np.ndarray]
Dataset = Tuple[Tuple[np.ndarray, np.ndarray], ... | 0.967625 | 0.662858 |
import os
from flask import Flask, request, jsonify
from mongoengine import *
import datetime
app = Flask(__name__)
mongodb_uri = os.environ.get('MONGODB_URI', 'localhost:27017')
connect("pokerstats", host=mongodb_uri)
class Player(Document):
name = StringField(required=True, unique=True, max_length=200)
class R... | app.py | import os
from flask import Flask, request, jsonify
from mongoengine import *
import datetime
app = Flask(__name__)
mongodb_uri = os.environ.get('MONGODB_URI', 'localhost:27017')
connect("pokerstats", host=mongodb_uri)
class Player(Document):
name = StringField(required=True, unique=True, max_length=200)
class R... | 0.088835 | 0.052473 |
import logging
import os
import subprocess
import time
from urllib.parse import unquote_plus
from oic.utils.http_util import ServiceError
from otest.proc import isrunning
from otest.rp.setup import read_path2port_map
logger = logging.getLogger(__name__)
class Application(object):
def __init__(self, test_script,... | src/oidctest/tt/app.py | import logging
import os
import subprocess
import time
from urllib.parse import unquote_plus
from oic.utils.http_util import ServiceError
from otest.proc import isrunning
from otest.rp.setup import read_path2port_map
logger = logging.getLogger(__name__)
class Application(object):
def __init__(self, test_script,... | 0.167491 | 0.092811 |
import numpy as np
import gym
'''
conda create -n reinforce python=3.6 anaconda
conda activate reinforce
conda install -c conda-forge tensorflow=1.14,gym,pybox2d,opencv
pip install roboschool(does not work in windows)
python <script_name>.py
conda deactivate
'''
"""
cd "C:\Users\HP\Desktop\RL\Chapter-3\policyIteration.... | Ch-3/policyIteration.py | import numpy as np
import gym
'''
conda create -n reinforce python=3.6 anaconda
conda activate reinforce
conda install -c conda-forge tensorflow=1.14,gym,pybox2d,opencv
pip install roboschool(does not work in windows)
python <script_name>.py
conda deactivate
'''
"""
cd "C:\Users\HP\Desktop\RL\Chapter-3\policyIteration.... | 0.290477 | 0.301645 |
import datetime
from colorama import Fore, Style
from tabulate import tabulate
from common.helpers import Helpers as helper
class MesosMetrics(object):
resources_master_cpus_percent = None
resources_master_cpus_total = None
resources_master_cpus_used = None
resources_master_mem_percent = None
r... | mesos_metrics.py | import datetime
from colorama import Fore, Style
from tabulate import tabulate
from common.helpers import Helpers as helper
class MesosMetrics(object):
resources_master_cpus_percent = None
resources_master_cpus_total = None
resources_master_cpus_used = None
resources_master_mem_percent = None
r... | 0.240418 | 0.319227 |
from __future__ import absolute_import
from collections import defaultdict
from random import randint, sample
import pytest
from kafka.structs import TopicPartition
from kafka.coordinator.assignors.range import RangePartitionAssignor
from kafka.coordinator.assignors.roundrobin import RoundRobinPartitionAssignor
from... | test/test_assignors.py | from __future__ import absolute_import
from collections import defaultdict
from random import randint, sample
import pytest
from kafka.structs import TopicPartition
from kafka.coordinator.assignors.range import RangePartitionAssignor
from kafka.coordinator.assignors.roundrobin import RoundRobinPartitionAssignor
from... | 0.745861 | 0.460046 |
from nose import with_setup # optional
import logging
from pympler import tracker
memory_tracker = tracker.SummaryTracker()
logger = logging.getLogger(__name__)
def setup_module():
"""
| **@author:** <NAME>
|
| DL Module Setup - Called when this module is initialized - First Call
"""
pass
... | tests/test_memory_leak.py | from nose import with_setup # optional
import logging
from pympler import tracker
memory_tracker = tracker.SummaryTracker()
logger = logging.getLogger(__name__)
def setup_module():
"""
| **@author:** <NAME>
|
| DL Module Setup - Called when this module is initialized - First Call
"""
pass
... | 0.700997 | 0.428054 |
import pprint
import json
import itertools
import random
def flatten(l):
if isinstance(l, str):
yield l
else:
for el in l:
if not isinstance(el, str):
for sub in flatten(el):
yield sub
else:
yield el
def score_group(grp1, grp2, numbers):
# if isinstance(grp1, tuple)... | build_tree.py |
import pprint
import json
import itertools
import random
def flatten(l):
if isinstance(l, str):
yield l
else:
for el in l:
if not isinstance(el, str):
for sub in flatten(el):
yield sub
else:
yield el
def score_group(grp1, grp2, numbers):
# if isinstance(grp1, tuple)... | 0.181444 | 0.122444 |
from datetime import datetime, timedelta
from django.contrib.auth import get_user_model
from django.utils import timezone
from django.shortcuts import get_object_or_404
from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
from rest_framework.views import stat... | ihub/duties/views/api.py | from datetime import datetime, timedelta
from django.contrib.auth import get_user_model
from django.utils import timezone
from django.shortcuts import get_object_or_404
from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
from rest_framework.views import stat... | 0.50293 | 0.087369 |
import os
import boto3
from boto3.dynamodb.conditions import Attr, Key
from botocore.exceptions import ClientError
# Connection Info
TABLES = {
'products': {
'table_name': os.environ.get("DB_PRODUCTS"),
},
'orders': {
'table_name': os.environ.get("DB_ORDERS"),
},
}
ENDPOINT_URL = os.e... | papertesla/data.py | import os
import boto3
from boto3.dynamodb.conditions import Attr, Key
from botocore.exceptions import ClientError
# Connection Info
TABLES = {
'products': {
'table_name': os.environ.get("DB_PRODUCTS"),
},
'orders': {
'table_name': os.environ.get("DB_ORDERS"),
},
}
ENDPOINT_URL = os.e... | 0.47098 | 0.113924 |
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise RuntimeError("Python 2.7 or later required")
# Import the low-level C/C++ module
if __package__ or "." in __name__:
from . import _bilinearform
else:
import _bilinearform
try:
import builtins as ... | mfem/_par/bilinearform.py |
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise RuntimeError("Python 2.7 or later required")
# Import the low-level C/C++ module
if __package__ or "." in __name__:
from . import _bilinearform
else:
import _bilinearform
try:
import builtins as ... | 0.428712 | 0.095645 |
import numpy as np
from sklearn.neighbors import KNeighborsRegressor
from algorithms.general_method import GeneralMethod
from simulators.ode_simulator import calculate_fitness
class DE(GeneralMethod):
def __init__(self, config_method, config_model):
super().__init__(config_method, config_model)
... | algorithms/population_optimization_algorithms.py | import numpy as np
from sklearn.neighbors import KNeighborsRegressor
from algorithms.general_method import GeneralMethod
from simulators.ode_simulator import calculate_fitness
class DE(GeneralMethod):
def __init__(self, config_method, config_model):
super().__init__(config_method, config_model)
... | 0.760562 | 0.528959 |
from frsaccess import *
from frscommon import *
from frsclient.param import *
from frsclient.result import *
from frsclient.service import *
class FrsClient(object):
"""
Creates a FRS(Face Recognize Service) frsclient with Initializing account information.
Service kinds:
Service Query (Service... | frsclient/frs_client.py |
from frsaccess import *
from frscommon import *
from frsclient.param import *
from frsclient.result import *
from frsclient.service import *
class FrsClient(object):
"""
Creates a FRS(Face Recognize Service) frsclient with Initializing account information.
Service kinds:
Service Query (Service... | 0.827201 | 0.184584 |
from sys import argv
import datetime
import agg0, agg1, agg2, agg3
from pympler import asizeof
def test(time_range):
tree_conf = {
"name":"1second",
"range":"1s",
"delta":"1s"
}
params_conf = [ [ "src",
"dst",
[ "src", "dst" ]
... | tests/test_args.py | from sys import argv
import datetime
import agg0, agg1, agg2, agg3
from pympler import asizeof
def test(time_range):
tree_conf = {
"name":"1second",
"range":"1s",
"delta":"1s"
}
params_conf = [ [ "src",
"dst",
[ "src", "dst" ]
... | 0.191933 | 0.300168 |
from time import sleep
import numpy as np
import pandas as pd
from rx.disposable import Disposable
from scipy import signal
from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
from rx.subject import BehaviorSubject
MIN_READ_BUFFER_DEPTH = 50
SAMPLING_RATE = 250
NUM_CHANNELS = 8
def n... | src/sensor/sensor_wrapper.py | from time import sleep
import numpy as np
import pandas as pd
from rx.disposable import Disposable
from scipy import signal
from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
from rx.subject import BehaviorSubject
MIN_READ_BUFFER_DEPTH = 50
SAMPLING_RATE = 250
NUM_CHANNELS = 8
def n... | 0.629433 | 0.209631 |
import numpy as np
from scipy import ndimage
from scipy.interpolate import spline
from scipy.ndimage.filters import gaussian_filter
from scipy.spatial import ConvexHull
from scipy.spatial import Delaunay
from cheshire.Grid import *
class Potential(object):
"""
A potential object containing information about t... | cheshire/Potential.py | import numpy as np
from scipy import ndimage
from scipy.interpolate import spline
from scipy.ndimage.filters import gaussian_filter
from scipy.spatial import ConvexHull
from scipy.spatial import Delaunay
from cheshire.Grid import *
class Potential(object):
"""
A potential object containing information about t... | 0.932176 | 0.661242 |
import re
import discord
import discord.utils
from typing import Tuple, Optional, Iterator, Union, TypedDict, Protocol, cast
import discord_client
import util.db.kv
import util.discord
import util.frozen_dict
import plugins.commands
import plugins.privileges
class MessageReactions(TypedDict):
guild: str
channe... | plugins/rolereactions.py | import re
import discord
import discord.utils
from typing import Tuple, Optional, Iterator, Union, TypedDict, Protocol, cast
import discord_client
import util.db.kv
import util.discord
import util.frozen_dict
import plugins.commands
import plugins.privileges
class MessageReactions(TypedDict):
guild: str
channe... | 0.637482 | 0.077553 |
import sys
import numpy as np
import pandas as pd
from scipy.spatial import distance
import umap
import category_encoders as ce
import seaborn as sns
import matplotlib.pyplot as plt
import sh
from tqdm import tqdm
from loguru import logger
sns.set_context('talk')
def analyze_results(
df, df_trans, df_dists,... | projects/29/src/distance_computations.py | import sys
import numpy as np
import pandas as pd
from scipy.spatial import distance
import umap
import category_encoders as ce
import seaborn as sns
import matplotlib.pyplot as plt
import sh
from tqdm import tqdm
from loguru import logger
sns.set_context('talk')
def analyze_results(
df, df_trans, df_dists,... | 0.410756 | 0.383006 |
import logging
import textwrap
from typing import Callable, List, Tuple, Union
import numpy as np
import torch
from PIL import Image
from torchvision import transforms
from torchvision.datasets import VisionDataset
from composer.core.types import Batch
__all__ = [
"add_vision_dataset_transform",
"Normalizati... | composer/datasets/utils.py | import logging
import textwrap
from typing import Callable, List, Tuple, Union
import numpy as np
import torch
from PIL import Image
from torchvision import transforms
from torchvision.datasets import VisionDataset
from composer.core.types import Batch
__all__ = [
"add_vision_dataset_transform",
"Normalizati... | 0.941895 | 0.647102 |
import atexit
import logging
import os
import signal
import sys
import threading
import traceback
import time
import openerp
from . import Command
__author__ = openerp.release.author
__version__ = openerp.release.version
# Also use the `openerp` logger for the main script.
_logger = logging.getLogger('openerp')
de... | web/openerp/cli/server.py | import atexit
import logging
import os
import signal
import sys
import threading
import traceback
import time
import openerp
from . import Command
__author__ = openerp.release.author
__version__ = openerp.release.version
# Also use the `openerp` logger for the main script.
_logger = logging.getLogger('openerp')
de... | 0.259732 | 0.053477 |
import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.load("FWCore.Framework.test.cmsExceptionsFatal_cff")
process.load("SimGeneral.HepPDTESSource.pythiapdt_cfi")
process.load("PhysicsTools.HepMCCandAlgos.genParticles_cfi")
process.source = cms.Source("EmptySource")
from GeneratorInterface.... | GeneratorInterface/EvtGenInterface/test/Py8_tt_evtgen1_cfg.py | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.load("FWCore.Framework.test.cmsExceptionsFatal_cff")
process.load("SimGeneral.HepPDTESSource.pythiapdt_cfi")
process.load("PhysicsTools.HepMCCandAlgos.genParticles_cfi")
process.source = cms.Source("EmptySource")
from GeneratorInterface.... | 0.439266 | 0.150403 |
import numpy as np
from random import shuffle
class Japanese:
def question_hiragana(self, number_answers):
hiragana = [
# a
('あ', 'a'),
('か', 'ka'),
('が', 'ga'),
('さ', 'sa'),
('ざ', 'za'),
('た', 'ta'),
('だ', 'da'),
('な', 'na'),
... | japanese.py | import numpy as np
from random import shuffle
class Japanese:
def question_hiragana(self, number_answers):
hiragana = [
# a
('あ', 'a'),
('か', 'ka'),
('が', 'ga'),
('さ', 'sa'),
('ざ', 'za'),
('た', 'ta'),
('だ', 'da'),
('な', 'na'),
... | 0.228587 | 0.085978 |
import json
import trt_pose.coco
import torch
from torch2trt import TRTModule
import trt_pose.models
import cv2
import torchvision.transforms as transforms
import PIL.Image
from trt_pose.draw_objects import DrawObjects
from trt_pose.parse_objects import ParseObjects
import argparse
def preprocess(image):
global ... | tasks/fork_lift/detect.py | import json
import trt_pose.coco
import torch
from torch2trt import TRTModule
import trt_pose.models
import cv2
import torchvision.transforms as transforms
import PIL.Image
from trt_pose.draw_objects import DrawObjects
from trt_pose.parse_objects import ParseObjects
import argparse
def preprocess(image):
global ... | 0.460289 | 0.268216 |
from openquake.hazardlib.gsim.edwards_fah_2013a import (
EdwardsFah2013Alpine10Bars,
EdwardsFah2013Alpine20Bars,
EdwardsFah2013Alpine30Bars,
EdwardsFah2013Alpine50Bars,
EdwardsFah2013Alpine60Bars,
EdwardsFah2013Alpine75Bars,
EdwardsFah2013Alpine90Bars,
EdwardsFah2013Alpine120Bars
)
from... | openquake/hazardlib/tests/gsim/edwards_faeh_2013_alpine_test.py |
from openquake.hazardlib.gsim.edwards_fah_2013a import (
EdwardsFah2013Alpine10Bars,
EdwardsFah2013Alpine20Bars,
EdwardsFah2013Alpine30Bars,
EdwardsFah2013Alpine50Bars,
EdwardsFah2013Alpine60Bars,
EdwardsFah2013Alpine75Bars,
EdwardsFah2013Alpine90Bars,
EdwardsFah2013Alpine120Bars
)
from... | 0.635222 | 0.291617 |
import os
import re
import sys
from signal import SIG_DFL, SIGPIPE, signal
from subprocess import PIPE, Popen
from docopt import docopt
from vcfkit.utils.vcf import *
signal(SIGPIPE, SIG_DFL)
# Info
r_info = re.compile(r'''\#\#INFO=<
ID=(?P<id>[^,]+),
Number=(?P<number>-?\d+|\.|[AG]),
Type=(?P<type>Integer|Flo... | vcfkit/vcf2tsv.py | import os
import re
import sys
from signal import SIG_DFL, SIGPIPE, signal
from subprocess import PIPE, Popen
from docopt import docopt
from vcfkit.utils.vcf import *
signal(SIGPIPE, SIG_DFL)
# Info
r_info = re.compile(r'''\#\#INFO=<
ID=(?P<id>[^,]+),
Number=(?P<number>-?\d+|\.|[AG]),
Type=(?P<type>Integer|Flo... | 0.094929 | 0.201401 |
import sys
from torch.utils.data import Dataset, DataLoader
import os
import glob
import numpy as np
import random
import cv2
import json
import h5py
import torch
sys.path.append('./src')
from util import calc_aabb, cut_image, flip_image, draw_lsp_14kp__bone, rectangle_intersect, get_rectangle_intersect_ratio, conver... | pytorch_src/dataloader/hum36m_dataloader.py | import sys
from torch.utils.data import Dataset, DataLoader
import os
import glob
import numpy as np
import random
import cv2
import json
import h5py
import torch
sys.path.append('./src')
from util import calc_aabb, cut_image, flip_image, draw_lsp_14kp__bone, rectangle_intersect, get_rectangle_intersect_ratio, conver... | 0.391871 | 0.332907 |