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 fdb
import fdb.tuple
fdb.api_version(16)
def nextStopToNone(gen):
try:
return gen.next()
except StopIteration:
return None
class FdbSet (object):
def __init__(self, path):
self._path = path
@fdb.transactional
def length(self, tr):
setLength = 0
f... | layers/containers/set.py |
import fdb
import fdb.tuple
fdb.api_version(16)
def nextStopToNone(gen):
try:
return gen.next()
except StopIteration:
return None
class FdbSet (object):
def __init__(self, path):
self._path = path
@fdb.transactional
def length(self, tr):
setLength = 0
f... | 0.514156 | 0.157363 |
import os
import numpy as np
from keras import backend as K
__all__ = [
'flux2mag',
'plot_samples_one_hot',
'save_model',
'jaccard_coef'
]
# TF order (n_entries, shape_0, shape_1, n_channels)
AXIS = [1, 2, 3] # all but n_entries
# Epsilon
EPS = 1e-12
def flux2mag(flux, zeropoint):
return -2.5 ... | coindeblend/utilities.py | import os
import numpy as np
from keras import backend as K
__all__ = [
'flux2mag',
'plot_samples_one_hot',
'save_model',
'jaccard_coef'
]
# TF order (n_entries, shape_0, shape_1, n_channels)
AXIS = [1, 2, 3] # all but n_entries
# Epsilon
EPS = 1e-12
def flux2mag(flux, zeropoint):
return -2.5 ... | 0.779532 | 0.500366 |
from mock_trace import MockTrace as mt
import importlib
from examples.fibonacci import slow_fib
def test_basic():
assert slow_fib(-1) == 0
assert slow_fib(0) == 0
assert slow_fib(1) == 1
assert slow_fib(2) == 1
assert slow_fib(3) == 2
assert slow_fib(4) == 3
assert slow_fib(5) == 5
as... | tests/test_fibonacci.py | from mock_trace import MockTrace as mt
import importlib
from examples.fibonacci import slow_fib
def test_basic():
assert slow_fib(-1) == 0
assert slow_fib(0) == 0
assert slow_fib(1) == 1
assert slow_fib(2) == 1
assert slow_fib(3) == 2
assert slow_fib(4) == 3
assert slow_fib(5) == 5
as... | 0.713432 | 0.826607 |
import socket
import threading
from queue import Queue
import subprocess
import sys
import os
# color class
class color:
blue = '\033[94m'
green = '\033[92m'
orange = '\033[93m'
underline = '\033[4m'
reset = '\033[0m'
# first banner
def banner():
os.system('clear')
print(f'{color.blue}--... | Lightscan.py | import socket
import threading
from queue import Queue
import subprocess
import sys
import os
# color class
class color:
blue = '\033[94m'
green = '\033[92m'
orange = '\033[93m'
underline = '\033[4m'
reset = '\033[0m'
# first banner
def banner():
os.system('clear')
print(f'{color.blue}--... | 0.218419 | 0.067301 |
import sys
from PyQt5.QtWidgets import QApplication, QWidget, QToolTip, \
QPushButton,QMessageBox,QDesktopWidget, QLabel
from PyQt5.QtGui import QFont,QIcon,QPixmap,QImage
from PyQt5.QtCore import QTimer
import cv2
import picture as pic
import classify as cf
import numpy as np
class myWindow(QWidget):... | myGUI.py | import sys
from PyQt5.QtWidgets import QApplication, QWidget, QToolTip, \
QPushButton,QMessageBox,QDesktopWidget, QLabel
from PyQt5.QtGui import QFont,QIcon,QPixmap,QImage
from PyQt5.QtCore import QTimer
import cv2
import picture as pic
import classify as cf
import numpy as np
class myWindow(QWidget):... | 0.161386 | 0.106087 |
import numpy as np
import nicenquickplotlib as nq
x = []
x.append(np.linspace(0,6))
x.append(np.linspace(0,5))
x.append(np.linspace(0,4))
# Testing for data input combinations ----
nq.plot(x[0], title="data input x1")
nq.plot([x[0], x[1]], title="data input [x[0], x[1]]")
nq.plot(x[0], np.sin(x[0]), title="data inpu... | test_all_all.py |
import numpy as np
import nicenquickplotlib as nq
x = []
x.append(np.linspace(0,6))
x.append(np.linspace(0,5))
x.append(np.linspace(0,4))
# Testing for data input combinations ----
nq.plot(x[0], title="data input x1")
nq.plot([x[0], x[1]], title="data input [x[0], x[1]]")
nq.plot(x[0], np.sin(x[0]), title="data inpu... | 0.508788 | 0.71721 |
from graphql.validation import ScalarLeafsRule
from graphql.validation.rules.scalar_leafs import (
no_subselection_allowed_message, required_subselection_message)
from .harness import expect_fails_rule, expect_passes_rule
def no_scalar_subselection(field, type_, line, column):
return {
'message': no_... | tests/validation/test_scalar_leafs.py | from graphql.validation import ScalarLeafsRule
from graphql.validation.rules.scalar_leafs import (
no_subselection_allowed_message, required_subselection_message)
from .harness import expect_fails_rule, expect_passes_rule
def no_scalar_subselection(field, type_, line, column):
return {
'message': no_... | 0.909542 | 0.406214 |
import shutil
import requests
import tempfile
import string
import imghdr
import random
from pyquery import PyQuery as pq
from ebooklib import epub
class RequestError(Exception):
def __init__(self, message, req):
super().__init__(
f'{message} [Status: {req.status_code} because {req.reason}, u... | wte/src/util.py | import shutil
import requests
import tempfile
import string
import imghdr
import random
from pyquery import PyQuery as pq
from ebooklib import epub
class RequestError(Exception):
def __init__(self, message, req):
super().__init__(
f'{message} [Status: {req.status_code} because {req.reason}, u... | 0.500244 | 0.169097 |
from datetime import timedelta
from typing import Any
from starlette.websockets import WebSocket, WebSocketDisconnect, WebSocketState
from strawberry.schema import BaseSchema
from strawberry.subscriptions import GRAPHQL_TRANSPORT_WS_PROTOCOL
from strawberry.subscriptions.protocols.graphql_transport_ws.handlers import... | strawberry/asgi/handlers/graphql_transport_ws_handler.py | from datetime import timedelta
from typing import Any
from starlette.websockets import WebSocket, WebSocketDisconnect, WebSocketState
from strawberry.schema import BaseSchema
from strawberry.subscriptions import GRAPHQL_TRANSPORT_WS_PROTOCOL
from strawberry.subscriptions.protocols.graphql_transport_ws.handlers import... | 0.683736 | 0.077973 |
from argparse import ArgumentParser
def none_or_default(x, default):
return x if x is not None else default
class HyperParameters():
def parse(self, unknown_arg_ok=False):
parser = ArgumentParser()
# Enable torch.backends.cudnn.benchmark -- Faster in some cases, test in your own environment
... | util/hyper_para.py | from argparse import ArgumentParser
def none_or_default(x, default):
return x if x is not None else default
class HyperParameters():
def parse(self, unknown_arg_ok=False):
parser = ArgumentParser()
# Enable torch.backends.cudnn.benchmark -- Faster in some cases, test in your own environment
... | 0.680454 | 0.086093 |
ARCH_X86 = 32
ARCH_AMD64 = 64
PAGE_SIZE = 0x1000
BITS_32 = 32
BITS_64 = 64
LSTAR = 0xC0000082
X86_REG_CS = 1001
X86_REG_DS = 1002
X86_REG_EAX = 1003
X86_REG_EBP = 1004
X86_REG_EBX = 1005
X86_REG_ECX = 1006
X86_REG_EDI = 1007
X86_REG_EDX = 1008
X86_REG_EFLAGS = 1009
X86_REG_EIP = 1010
X86_REG_EIZ = 1011
X86_REG_ESI =... | speakeasy/winenv/arch.py |
ARCH_X86 = 32
ARCH_AMD64 = 64
PAGE_SIZE = 0x1000
BITS_32 = 32
BITS_64 = 64
LSTAR = 0xC0000082
X86_REG_CS = 1001
X86_REG_DS = 1002
X86_REG_EAX = 1003
X86_REG_EBP = 1004
X86_REG_EBX = 1005
X86_REG_ECX = 1006
X86_REG_EDI = 1007
X86_REG_EDX = 1008
X86_REG_EFLAGS = 1009
X86_REG_EIP = 1010
X86_REG_EIZ = 1011
X86_REG_ESI =... | 0.229794 | 0.180883 |
import argparse, os
import tensorflow as tf
import numpy as np
from model.datagenerator.input_fn import read_dataset
from model.datagenerator.input_fn import get_labels_for_ss
from model.model_fn import model_fn
from model.utils import Params
from validation_function import reli
parser = argparse.ArgumentParser()
pa... | similarity_search.py | import argparse, os
import tensorflow as tf
import numpy as np
from model.datagenerator.input_fn import read_dataset
from model.datagenerator.input_fn import get_labels_for_ss
from model.model_fn import model_fn
from model.utils import Params
from validation_function import reli
parser = argparse.ArgumentParser()
pa... | 0.748628 | 0.185246 |
import datetime
def Char(length, is_strict=True): # pylint: disable=invalid-name
"""represent a char string"""
class _char: # pylint: disable=too-few-public-methods
@classmethod
def parse(cls, value):
"""normalize a char"""
value = String.parse(value)
if... | aiodb/model/types.py | import datetime
def Char(length, is_strict=True): # pylint: disable=invalid-name
"""represent a char string"""
class _char: # pylint: disable=too-few-public-methods
@classmethod
def parse(cls, value):
"""normalize a char"""
value = String.parse(value)
if... | 0.777004 | 0.345823 |
import time
import requests
from time import sleep
from mdsanima_dev.colors import get_complex_color
def read_file(file_path: str) -> str:
"""
Function reads the file and splits it into separate lines.
:param file_path: file path to read and split
:type file_path: str
:return: list of lines in th... | src/mdsanima_dev/utils/tools.py | import time
import requests
from time import sleep
from mdsanima_dev.colors import get_complex_color
def read_file(file_path: str) -> str:
"""
Function reads the file and splits it into separate lines.
:param file_path: file path to read and split
:type file_path: str
:return: list of lines in th... | 0.731155 | 0.425247 |
import os
from django.core.urlresolvers import reverse_lazy
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in pr... | Socialist/settings.py | import os
from django.core.urlresolvers import reverse_lazy
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in pr... | 0.327346 | 0.056418 |
"exec" "`dirname $0`/opt/miniconda2/bin/python" "$0" "$@"
import argparse
import os
import sys
import logging
import utils
import tempfile, shutil
LOGGER = None
def process(args):
'''
main
:param args:
:return:
'''
# Setup logging
FORMAT = '%(levelname)s %(asctime)-15s %(name)-20s %(messag... | combine_vcf.py | "exec" "`dirname $0`/opt/miniconda2/bin/python" "$0" "$@"
import argparse
import os
import sys
import logging
import utils
import tempfile, shutil
LOGGER = None
def process(args):
'''
main
:param args:
:return:
'''
# Setup logging
FORMAT = '%(levelname)s %(asctime)-15s %(name)-20s %(messag... | 0.235196 | 0.117319 |
code_for_A = r"""
for x in [1,2,3]:
print("x to", x, end=" ")
print(x**2)
"""
code_for_B = r"""
for x in range(3):
print("x to", x, end=" ")
print(x**2)
"""
code_for_C = r"""
for x in range(2, 5):
print("x to", x, end=" ")
print(x**2)
"""
code_for_D = r"""
for x in range(1, 9, 2):
... | LPES-video/02.03-python-petle_warunki/02.03.01-for.py |
code_for_A = r"""
for x in [1,2,3]:
print("x to", x, end=" ")
print(x**2)
"""
code_for_B = r"""
for x in range(3):
print("x to", x, end=" ")
print(x**2)
"""
code_for_C = r"""
for x in range(2, 5):
print("x to", x, end=" ")
print(x**2)
"""
code_for_D = r"""
for x in range(1, 9, 2):
... | 0.149842 | 0.450541 |
import logging
import os
import sys
import time
sys.path.append(os.path.join(os.path.dirname(__file__), "../"))
from common import constants
sys.path.append(os.path.join(os.path.dirname(__file__), "../../../AppServer"))
from google.appengine.api import urlfetch
from __init__ import ApiTestBase
class TestUrlfetch(A... | Apps/sensor/api_tests/urlfetch.py |
import logging
import os
import sys
import time
sys.path.append(os.path.join(os.path.dirname(__file__), "../"))
from common import constants
sys.path.append(os.path.join(os.path.dirname(__file__), "../../../AppServer"))
from google.appengine.api import urlfetch
from __init__ import ApiTestBase
class TestUrlfetch(A... | 0.52902 | 0.22863 |
from rdflib.store import Store
from rdflib import Graph, ConjunctiveGraph
import threading
destructiveOpLocks = {
'add': None,
'remove': None,
}
class AuditableStore(Store):
def __init__(self, store):
self.store = store
self.context_aware = store.context_aware
# NOTE: this store c... | rdflib/plugins/stores/auditable.py | from rdflib.store import Store
from rdflib import Graph, ConjunctiveGraph
import threading
destructiveOpLocks = {
'add': None,
'remove': None,
}
class AuditableStore(Store):
def __init__(self, store):
self.store = store
self.context_aware = store.context_aware
# NOTE: this store c... | 0.557845 | 0.080213 |
import os
import glob
import sys
import struct
import subprocess
from struct import pack, unpack
class UndervoltSystem(object):
def __init__(self):
pass
def applyUndervolt(self, mv, plane):
"""
Apply undervolt to system MSR for Intel-based systems
:return: int error: error cod... | thinkpad_tools_assets/classes.py | import os
import glob
import sys
import struct
import subprocess
from struct import pack, unpack
class UndervoltSystem(object):
def __init__(self):
pass
def applyUndervolt(self, mv, plane):
"""
Apply undervolt to system MSR for Intel-based systems
:return: int error: error cod... | 0.327561 | 0.112308 |
import copy
from os import path
from typing import Any, Callable, List, Optional
import yaml
from colored import attr, fg
from opta.constants import init_template_path
def load_template(template_type: str, template_name: str) -> dict:
file_path = path.join(init_template_path, template_type, f"{template_name}.ya... | opta/commands/init_templates/template.py | import copy
from os import path
from typing import Any, Callable, List, Optional
import yaml
from colored import attr, fg
from opta.constants import init_template_path
def load_template(template_type: str, template_name: str) -> dict:
file_path = path.join(init_template_path, template_type, f"{template_name}.ya... | 0.769946 | 0.231028 |
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.nn.utils import spectral_norm
class LayerNorm(nn.Module):
def __init__(self, num_features, eps=1e-5, affine=True):
super(LayerNorm, self).__init__()
self.num_features = num_features
self.eps = e... | adn/networks/blocks.py | import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.nn.utils import spectral_norm
class LayerNorm(nn.Module):
def __init__(self, num_features, eps=1e-5, affine=True):
super(LayerNorm, self).__init__()
self.num_features = num_features
self.eps = e... | 0.960869 | 0.575051 |
# Appengine users: https://developers.google.com/appengine/docs/python/sockets/#making_httplib_use_sockets
import json
import logging
from math import inf
from platform import python_version
import ssl
from threading import Thread
from time import sleep
import requests
from requests_oauthlib import OAuth1
import url... | tweepy/streaming.py |
# Appengine users: https://developers.google.com/appengine/docs/python/sockets/#making_httplib_use_sockets
import json
import logging
from math import inf
from platform import python_version
import ssl
from threading import Thread
from time import sleep
import requests
from requests_oauthlib import OAuth1
import url... | 0.708414 | 0.135661 |
import json
import mock
from dashboard.pinpoint.handlers import migrate
from dashboard.pinpoint.models import job
from dashboard.pinpoint.models import job_state
from dashboard.pinpoint import test
class MigrateTest(test.TestCase):
def setUp(self):
super(MigrateTest, self).setUp()
patcher = mock.patch.... | dashboard/dashboard/pinpoint/handlers/migrate_test.py |
import json
import mock
from dashboard.pinpoint.handlers import migrate
from dashboard.pinpoint.models import job
from dashboard.pinpoint.models import job_state
from dashboard.pinpoint import test
class MigrateTest(test.TestCase):
def setUp(self):
super(MigrateTest, self).setUp()
patcher = mock.patch.... | 0.587588 | 0.297151 |
from __future__ import absolute_import, division, print_function
__all__ = [
'MY_CLSIM_TABLE_KEYS',
'CLSIM_TABLE_FNAME_PROTO',
'CLSIM_TABLE_FNAME_RE',
'CLSIM_TABLE_METANAME_PROTO',
'CLSIM_TABLE_METANAME_RE',
'CLSIM_TABLE_TILE_FNAME_PROTO',
'CLSIM_TABLE_TILE_FNAME_RE',
'CLSIM_TABLE_TILE_... | retro/tables/clsim_tables.py | from __future__ import absolute_import, division, print_function
__all__ = [
'MY_CLSIM_TABLE_KEYS',
'CLSIM_TABLE_FNAME_PROTO',
'CLSIM_TABLE_FNAME_RE',
'CLSIM_TABLE_METANAME_PROTO',
'CLSIM_TABLE_METANAME_RE',
'CLSIM_TABLE_TILE_FNAME_PROTO',
'CLSIM_TABLE_TILE_FNAME_RE',
'CLSIM_TABLE_TILE_... | 0.600305 | 0.160398 |
import torch
from torch.utils.data import Subset
from misc import google_cloud
import numpy as np
import math
import shutil
import os
class PolyOptimizer(torch.optim.SGD):
def __init__(self, params, lr, weight_decay, max_step, momentum=0.9):
super().__init__(params, lr, weight_decay)
self.globa... | misc/torchutils.py | import torch
from torch.utils.data import Subset
from misc import google_cloud
import numpy as np
import math
import shutil
import os
class PolyOptimizer(torch.optim.SGD):
def __init__(self, params, lr, weight_decay, max_step, momentum=0.9):
super().__init__(params, lr, weight_decay)
self.globa... | 0.480479 | 0.22515 |
from tempest.scenario.data_processing.client_tests import base
from tempest import test
from tempest_lib.common.utils import data_utils
class NodeGroupTemplateTest(base.BaseDataProcessingTest):
def _check_create_node_group_template(self):
template_name = data_utils.rand_name('sahara-ng-template')
... | sahara/tests/tempest/scenario/data_processing/client_tests/test_node_group_templates.py |
from tempest.scenario.data_processing.client_tests import base
from tempest import test
from tempest_lib.common.utils import data_utils
class NodeGroupTemplateTest(base.BaseDataProcessingTest):
def _check_create_node_group_template(self):
template_name = data_utils.rand_name('sahara-ng-template')
... | 0.457621 | 0.264821 |
import numpy as np
import SimpleITK as sitk
def reverse_axes(image):
return np.transpose(image, tuple(reversed(range(image.ndim))))
def read_image(imagefile):
image = sitk.ReadImage(imagefile)
data = reverse_axes(sitk.GetArrayFromImage(image)) # switch from zyx to xyz
header = {
'spacing': ... | nnunet/dataset_conversion/Task056_Verse_normalize_orientation.py | import numpy as np
import SimpleITK as sitk
def reverse_axes(image):
return np.transpose(image, tuple(reversed(range(image.ndim))))
def read_image(imagefile):
image = sitk.ReadImage(imagefile)
data = reverse_axes(sitk.GetArrayFromImage(image)) # switch from zyx to xyz
header = {
'spacing': ... | 0.776072 | 0.641731 |
from django.db.models import Q
import datetime
import json
from xml.etree import ElementTree
from .utils import date_transfer
from .abstract import AbstractApi
from apps.dailytrans.models import DailyTran
class Api(AbstractApi):
"""
Note: This Api Access Grand Total Trans Data Across App Crop, Fruits, Flower
... | src/apps/dailytrans/builders/amis.py | from django.db.models import Q
import datetime
import json
from xml.etree import ElementTree
from .utils import date_transfer
from .abstract import AbstractApi
from apps.dailytrans.models import DailyTran
class Api(AbstractApi):
"""
Note: This Api Access Grand Total Trans Data Across App Crop, Fruits, Flower
... | 0.501221 | 0.127898 |
from __future__ import unicode_literals
from django.db import models
from django.test import TestCase
from wagtail.wagtailcore.models import Page
from wagtail_events import abstract_models
class TestAbstractPaginatedIndex(TestCase):
"""Tests for the AbstractPaginatedIndex model."""
def setUp(self):
... | tests/test_abstract_models.py |
from __future__ import unicode_literals
from django.db import models
from django.test import TestCase
from wagtail.wagtailcore.models import Page
from wagtail_events import abstract_models
class TestAbstractPaginatedIndex(TestCase):
"""Tests for the AbstractPaginatedIndex model."""
def setUp(self):
... | 0.849097 | 0.324476 |
import errno
import logging
import os
import uuid
import networkx as nx
import capacity.gtfs_reader as gtfs_reader
import capacity.station as station
import capacity.stats as stats
import capacity.train as train
import capacity.utils as utils
class TransitNetwork(object):
""" The master container class for the ... | capacity/network.py |
import errno
import logging
import os
import uuid
import networkx as nx
import capacity.gtfs_reader as gtfs_reader
import capacity.station as station
import capacity.stats as stats
import capacity.train as train
import capacity.utils as utils
class TransitNetwork(object):
""" The master container class for the ... | 0.384681 | 0.294139 |
import datetime
import logging
from typing import Union, Dict, Optional
from conflowgen.application.repositories.container_flow_generation_properties_repository import \
ContainerFlowGenerationPropertiesRepository
from conflowgen.flow_generator.container_flow_generation_service import \
ContainerFlowGeneration... | conflowgen/api/container_flow_generation_manager.py | import datetime
import logging
from typing import Union, Dict, Optional
from conflowgen.application.repositories.container_flow_generation_properties_repository import \
ContainerFlowGenerationPropertiesRepository
from conflowgen.flow_generator.container_flow_generation_service import \
ContainerFlowGeneration... | 0.911402 | 0.245791 |
from django.core.exceptions import ValidationError as DjangoValidationError
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from rest_framework.settings import api_settings
from salesman.... | salesman/orders/serializers.py | from django.core.exceptions import ValidationError as DjangoValidationError
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from rest_framework.settings import api_settings
from salesman.... | 0.640299 | 0.14137 |
from __future__ import print_function, absolute_import
from operator import add, mul
import numpy as np
try:
import bogota.datapool
from bogota.utils import action_profiles
except:
'Bogota import failed...'
class GameData(object):
def __init__(self, filename=None, normalize=1.):
# data = { (s... | deepch/data.py | from __future__ import print_function, absolute_import
from operator import add, mul
import numpy as np
try:
import bogota.datapool
from bogota.utils import action_profiles
except:
'Bogota import failed...'
class GameData(object):
def __init__(self, filename=None, normalize=1.):
# data = { (s... | 0.601008 | 0.307559 |
from typing import Any, Dict
import pytest
from werkzeug.exceptions import MethodNotAllowed, NotFound
from localstack.http import Request, Response, Router
from localstack.http.dispatcher import handler_dispatcher, resource_dispatcher
class TestResourceDispatcher:
def test_dispatch_to_correct_function(self):
... | tests/unit/http_/test_dispatcher.py | from typing import Any, Dict
import pytest
from werkzeug.exceptions import MethodNotAllowed, NotFound
from localstack.http import Request, Response, Router
from localstack.http.dispatcher import handler_dispatcher, resource_dispatcher
class TestResourceDispatcher:
def test_dispatch_to_correct_function(self):
... | 0.71602 | 0.354852 |
import tempfile
import os
import urllib.request
import shutil
from botbuilder.core import MessageFactory
from botbuilder.dialogs import (
ComponentDialog,
DialogTurnResult,
DialogTurnStatus,
WaterfallDialog,
WaterfallStepContext,
ConfirmPrompt,
)
from botbuilder.dialogs.prompts import PromptOpt... | Bots/Python/Skills/CodeFirst/WaterfallSkillBot/dialogs/file_upload/file_upload_dialog.py |
import tempfile
import os
import urllib.request
import shutil
from botbuilder.core import MessageFactory
from botbuilder.dialogs import (
ComponentDialog,
DialogTurnResult,
DialogTurnStatus,
WaterfallDialog,
WaterfallStepContext,
ConfirmPrompt,
)
from botbuilder.dialogs.prompts import PromptOpt... | 0.344003 | 0.063395 |
import sys
import torch
import numpy as np
import torch.nn as nn
from common_utils import TestCase, run_tests
from common_device_type import dtypes, instantiate_device_type_tests
from util_test import create_common_tensor
import os
os.environ["BMMV2_ENABLE"] = "1"
class TestMatMulByBmmV2(TestCase):
def op_exec(se... | test/test_npu/test_network_ops/test_matmul_by_bmm_v2.py |
import sys
import torch
import numpy as np
import torch.nn as nn
from common_utils import TestCase, run_tests
from common_device_type import dtypes, instantiate_device_type_tests
from util_test import create_common_tensor
import os
os.environ["BMMV2_ENABLE"] = "1"
class TestMatMulByBmmV2(TestCase):
def op_exec(se... | 0.416797 | 0.57332 |
import sys
from unittest import TestCase
import unittest
import os
from importlib import reload
from mock import Mock, call
from mockextras import stub
sys.path = [os.path.abspath(os.path.join('..', os.pardir))] + sys.path
from digesters.confluence.confluence_notification_digester import ConfluenceNotificationDigeste... | digesters/confluence/test_confluence_notifications.py | import sys
from unittest import TestCase
import unittest
import os
from importlib import reload
from mock import Mock, call
from mockextras import stub
sys.path = [os.path.abspath(os.path.join('..', os.pardir))] + sys.path
from digesters.confluence.confluence_notification_digester import ConfluenceNotificationDigeste... | 0.38168 | 0.242839 |
import matplotlib.pyplot as plt
import numpy as np
path = np.loadtxt(open("../map/finegrained_map.csv","rb"),delimiter=" ",skiprows=0)
path_left = np.loadtxt(open("../map/leftlane_map.csv","rb"),delimiter=" ",skiprows=0)
path_mid = np.loadtxt(open("../map/midlane_map.csv","rb"),delimiter=" ",skiprows=0)
path_right =... | src/plotpath.py |
import matplotlib.pyplot as plt
import numpy as np
path = np.loadtxt(open("../map/finegrained_map.csv","rb"),delimiter=" ",skiprows=0)
path_left = np.loadtxt(open("../map/leftlane_map.csv","rb"),delimiter=" ",skiprows=0)
path_mid = np.loadtxt(open("../map/midlane_map.csv","rb"),delimiter=" ",skiprows=0)
path_right =... | 0.227899 | 0.332907 |
import factory
import uuid
import numpy as np
from pathlib import Path
from zuds import DBSession, ScienceImage, Source
from tempfile import mkdtemp
datadir = Path(__file__).parent / 'data'
TMP_DIR = mkdtemp()
class BaseMeta:
sqlalchemy_session = DBSession
sqlalchemy_session_persistence = 'commit'
def ran... | zuds/tests/fixtures.py | import factory
import uuid
import numpy as np
from pathlib import Path
from zuds import DBSession, ScienceImage, Source
from tempfile import mkdtemp
datadir = Path(__file__).parent / 'data'
TMP_DIR = mkdtemp()
class BaseMeta:
sqlalchemy_session = DBSession
sqlalchemy_session_persistence = 'commit'
def ran... | 0.229449 | 0.274774 |
import numpy as np
import copy
from pyorderedfuzzy.ofnumbers import ofnumber
from pyorderedfuzzy.ofnumbers.ofnumber import OFNumber
import matplotlib.pyplot as plt
__author__ = "amarszalek"
# ctype::
# linear, gauss, empirical
# data::
# 'price': bid price
# 'volume':
# 'spread': ask - bid
# params::
# 'wtype': '... | pyorderedfuzzy/ofcandles/ofcandle.py |
import numpy as np
import copy
from pyorderedfuzzy.ofnumbers import ofnumber
from pyorderedfuzzy.ofnumbers.ofnumber import OFNumber
import matplotlib.pyplot as plt
__author__ = "amarszalek"
# ctype::
# linear, gauss, empirical
# data::
# 'price': bid price
# 'volume':
# 'spread': ask - bid
# params::
# 'wtype': '... | 0.61682 | 0.421909 |
import os
import os.path
import json
import logging
from piecrust.tasks.base import TaskRunner
logger = logging.getLogger(__name__)
class InvalidMentionTargetError(Exception):
pass
class SourceDoesntLinkToTargetError(Exception):
pass
class DuplicateMentionError(Exception):
pass
class MentionTaskRu... | piecrust/tasks/mentions.py | import os
import os.path
import json
import logging
from piecrust.tasks.base import TaskRunner
logger = logging.getLogger(__name__)
class InvalidMentionTargetError(Exception):
pass
class SourceDoesntLinkToTargetError(Exception):
pass
class DuplicateMentionError(Exception):
pass
class MentionTaskRu... | 0.362405 | 0.100702 |
import torch
from torch.autograd import Function
from torch.autograd import Variable
from torch.nn.modules.module import Module
import math
import sys
import os
import numpy as np
import _FullAtomModel
def convertStringList(stringList):
'''Converts list of strings to 0-terminated byte tensor'''
maxlen = 0
for stri... | TorchProteinLibrary/FullAtomModel/Angles2Coords/Angles2Coords.py | import torch
from torch.autograd import Function
from torch.autograd import Variable
from torch.nn.modules.module import Module
import math
import sys
import os
import numpy as np
import _FullAtomModel
def convertStringList(stringList):
'''Converts list of strings to 0-terminated byte tensor'''
maxlen = 0
for stri... | 0.542863 | 0.350088 |
import tqdm
import math
def compute_basic_stats(recommendations, user_labels):
"""
recommendations: a dictionary for recommendations where keys are user_id and values are list of recommended items
user_labels: a dictionary from username to items a user has actually seen during test period
return: no o... | src/metrics.py | import tqdm
import math
def compute_basic_stats(recommendations, user_labels):
"""
recommendations: a dictionary for recommendations where keys are user_id and values are list of recommended items
user_labels: a dictionary from username to items a user has actually seen during test period
return: no o... | 0.453988 | 0.389314 |
from dataclasses import InitVar, dataclass, field
from typing import Optional
from mite.scenario import StopScenario
@dataclass
class _VolumeModel:
duration: int
def _volume(self, start, end):
raise NotImplementedError
def __call__(self, start, end):
if start > self.duration:
... | mite/volume_model.py | from dataclasses import InitVar, dataclass, field
from typing import Optional
from mite.scenario import StopScenario
@dataclass
class _VolumeModel:
duration: int
def _volume(self, start, end):
raise NotImplementedError
def __call__(self, start, end):
if start > self.duration:
... | 0.769946 | 0.257222 |
from typing import List, Tuple
from clustering_algorithms.k_medoids_algorithm import KMedoidsAlgorithm
from clustering_algorithms.point import Point
class PAM(KMedoidsAlgorithm):
def __init__(
self, points: List[Point], clusters_num: int = 2, labels: List["str"] = None
):
super().__init__(poi... | src/clustering_algorithms/pam.py | from typing import List, Tuple
from clustering_algorithms.k_medoids_algorithm import KMedoidsAlgorithm
from clustering_algorithms.point import Point
class PAM(KMedoidsAlgorithm):
def __init__(
self, points: List[Point], clusters_num: int = 2, labels: List["str"] = None
):
super().__init__(poi... | 0.928813 | 0.693459 |
# Copyright: (c) 2019, <NAME> (<EMAIL>)
# Copyright: (c) 2015, <NAME> (<EMAIL>)
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | ansible/venv/lib/python2.7/site-packages/ansible/modules/source_control/gitlab_user.py |
# Copyright: (c) 2019, <NAME> (<EMAIL>)
# Copyright: (c) 2015, <NAME> (<EMAIL>)
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 0.715026 | 0.123868 |
from optparse import OptionParser
import config
from utils import feed_utils, args_utils, ssh_utils, run_utils, file_utils
from api import job
def test_copy_nels_to_sbi(nels_id):
feed_utils.heading("copy use case nels to sbi. nels_id: %s" % nels_id)
credentail = ssh_utils.get_ssh_credentials(nels_id)
... | nels-test-integration/test_copy_nels_to_sbi.py |
from optparse import OptionParser
import config
from utils import feed_utils, args_utils, ssh_utils, run_utils, file_utils
from api import job
def test_copy_nels_to_sbi(nels_id):
feed_utils.heading("copy use case nels to sbi. nels_id: %s" % nels_id)
credentail = ssh_utils.get_ssh_credentials(nels_id)
... | 0.378459 | 0.11474 |
import json
from enum import Enum
from stix_shifter_utils.modules.base.stix_transmission.base_status_connector import BaseStatusConnector
from stix_shifter_utils.modules.base.stix_transmission.base_status_connector import Status
from stix_shifter_utils.utils.error_response import ErrorResponder
from stix_shifter_utils... | stix_shifter_modules/cbcloud/stix_transmission/status_connector.py | import json
from enum import Enum
from stix_shifter_utils.modules.base.stix_transmission.base_status_connector import BaseStatusConnector
from stix_shifter_utils.modules.base.stix_transmission.base_status_connector import Status
from stix_shifter_utils.utils.error_response import ErrorResponder
from stix_shifter_utils... | 0.385722 | 0.047096 |
from LSD.RMQ import RangeQuery
from LSD.detecter.outvalues import out_child2, out_parent2
def super_bubble_brankovice(c, toposort, reporter):
"""Find all superbubbles in a DAG after Brankovice at all."""
ord_id = toposort.index
def report(s, t):
reporter.rep(toposort[ord_id(s): ord_id(t) + 1]... | LSD/detecter/brankovic.py | from LSD.RMQ import RangeQuery
from LSD.detecter.outvalues import out_child2, out_parent2
def super_bubble_brankovice(c, toposort, reporter):
"""Find all superbubbles in a DAG after Brankovice at all."""
ord_id = toposort.index
def report(s, t):
reporter.rep(toposort[ord_id(s): ord_id(t) + 1]... | 0.373762 | 0.317611 |
import django.core.validators
from django.db import migrations, models
import jobs.validators
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='About',
fields=[
('id', models.AutoFie... | jobs/migrations/0001_initial.py |
import django.core.validators
from django.db import migrations, models
import jobs.validators
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='About',
fields=[
('id', models.AutoFie... | 0.441432 | 0.189821 |
import os
import subprocess
import tkinter as tk
from tkinter import filedialog, messagebox
PADDING = 5
class GUI(tk.Tk):
def __init__(self):
tk.Tk.__init__(self)
self.title('kabsa Compiler')
self.iconbitmap("./assets/icon.ico")
self.input_filename = tk.StringVar()
self.o... | gui/gui.py | import os
import subprocess
import tkinter as tk
from tkinter import filedialog, messagebox
PADDING = 5
class GUI(tk.Tk):
def __init__(self):
tk.Tk.__init__(self)
self.title('kabsa Compiler')
self.iconbitmap("./assets/icon.ico")
self.input_filename = tk.StringVar()
self.o... | 0.377541 | 0.063861 |
import heapq
import sys
from collections import deque
si = sys.stdin.readline
dy = [-1, 1, 0, 0]
dx = [0, 0, -1, 1]
def bfs(y, x):
que = deque()
visited = [[0 for _ in range(n)] for _ in range(n)]
que.append((y, x, 0))
visited[y][x] = True
q = []
while que:
y, x, cnt = que.popleft()
... | BOJ/review/boj_19238.py | import heapq
import sys
from collections import deque
si = sys.stdin.readline
dy = [-1, 1, 0, 0]
dx = [0, 0, -1, 1]
def bfs(y, x):
que = deque()
visited = [[0 for _ in range(n)] for _ in range(n)]
que.append((y, x, 0))
visited[y][x] = True
q = []
while que:
y, x, cnt = que.popleft()
... | 0.159479 | 0.272541 |
import pandas as pd
import numpy as np
import os
import json
from ..utils.database import dbutils
def get_dwell_time_df(db_connection, table_name):
query = """
SELECT
cust_id,
prev_cust_id,
tower_id,
prev_tower_id,
dwell_time,
near_airport,
... | src/output/cdr_fountain.py | import pandas as pd
import numpy as np
import os
import json
from ..utils.database import dbutils
def get_dwell_time_df(db_connection, table_name):
query = """
SELECT
cust_id,
prev_cust_id,
tower_id,
prev_tower_id,
dwell_time,
near_airport,
... | 0.464902 | 0.213459 |
from os.path import dirname, realpath, join
from pathlib import Path
class Config:
BASE_DIR = Path(realpath(join(dirname(realpath(__file__)), "..")))
DATA_DIR = Path(join(BASE_DIR, "data"))
RUNS_DIR = Path(join(BASE_DIR, "runs"))
GLOVE_DIR = Path(join(DATA_DIR, "glove.6b"))
GLOVE_FILE = Path(join(G... | src/config.py | from os.path import dirname, realpath, join
from pathlib import Path
class Config:
BASE_DIR = Path(realpath(join(dirname(realpath(__file__)), "..")))
DATA_DIR = Path(join(BASE_DIR, "data"))
RUNS_DIR = Path(join(BASE_DIR, "runs"))
GLOVE_DIR = Path(join(DATA_DIR, "glove.6b"))
GLOVE_FILE = Path(join(G... | 0.238639 | 0.214136 |
import SMBus
class BME280:
def __init__(self, VID=0x04D8, PID=0x00DD, devnum=0):
self.bus = SMBus.SMBus(VID, PID, devnum)
self.i2c_address = 0x76
self.__dig_temp = []
self.__dig_pressure = []
self.__dig_hum = []
# Public values
self.temperature = 0.0
... | ros/env_measurement_module/src/env_measurement_module/BME280.py | import SMBus
class BME280:
def __init__(self, VID=0x04D8, PID=0x00DD, devnum=0):
self.bus = SMBus.SMBus(VID, PID, devnum)
self.i2c_address = 0x76
self.__dig_temp = []
self.__dig_pressure = []
self.__dig_hum = []
# Public values
self.temperature = 0.0
... | 0.32306 | 0.263576 |
from __future__ import print_function
from color import Color
from mock import MagicMock, patch
from effects import *
import os
import threading
import time
try:
from neopixel import Adafruit_NeoPixel as Adafruit_Neopixel
except ImportError:
print("[Neopixel][error] An error occurred importing 'neopixel.Adafru... | neopixelcontroller/lib/controller.py | from __future__ import print_function
from color import Color
from mock import MagicMock, patch
from effects import *
import os
import threading
import time
try:
from neopixel import Adafruit_NeoPixel as Adafruit_Neopixel
except ImportError:
print("[Neopixel][error] An error occurred importing 'neopixel.Adafru... | 0.616936 | 0.273914 |
import torch.nn as nn
import torch
from torch.nn import functional as F
from torchvision import models
class ContextualModule(nn.Module):
def __init__(self, features, out_features=512, sizes=(1, 2, 3, 6)):
super(ContextualModule, self).__init__()
self.scales = []
self.scales = nn.ModuleList... | models/mobile/contextual_layer.py | import torch.nn as nn
import torch
from torch.nn import functional as F
from torchvision import models
class ContextualModule(nn.Module):
def __init__(self, features, out_features=512, sizes=(1, 2, 3, 6)):
super(ContextualModule, self).__init__()
self.scales = []
self.scales = nn.ModuleList... | 0.915242 | 0.52476 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['FileSystemArgs', 'FileSystem']
@pulumi.input_type
class FileSystemArgs:
def __init__(__self__, *,
protocol_type: pulumi.Input[str],
... | sdk/python/pulumi_alicloud/nas/file_system.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['FileSystemArgs', 'FileSystem']
@pulumi.input_type
class FileSystemArgs:
def __init__(__self__, *,
protocol_type: pulumi.Input[str],
... | 0.885885 | 0.164382 |
import sys
import psycopg2
import serial
import time
db = "donet"
server = "127.0.0.1"
user = "donet"
password = "<PASSWORD>"
retries = 10
CMD_PING = 0x01
CMD_PWM_ONE = 0x02
CMD_PWM_THREE = 0x03
try:
con = psycopg2.connect(database=db,host=server,user=user,password=password)
except:
print("Unable to connect to ... | worker.py |
import sys
import psycopg2
import serial
import time
db = "donet"
server = "127.0.0.1"
user = "donet"
password = "<PASSWORD>"
retries = 10
CMD_PING = 0x01
CMD_PWM_ONE = 0x02
CMD_PWM_THREE = 0x03
try:
con = psycopg2.connect(database=db,host=server,user=user,password=password)
except:
print("Unable to connect to ... | 0.160759 | 0.091829 |
import dataclasses as dt
import typing as t
from enum import Enum, Flag
from bungieapi.json import to_json
@dt.dataclass(frozen=True)
class BungieFriendListResponse:
friends: t.Sequence["BungieFriend"]
def to_json(self) -> t.Mapping[str, t.Any]:
return {
"friends": to_json(self.friends),... | bungieapi/generated/components/schemas/social/friends.py | import dataclasses as dt
import typing as t
from enum import Enum, Flag
from bungieapi.json import to_json
@dt.dataclass(frozen=True)
class BungieFriendListResponse:
friends: t.Sequence["BungieFriend"]
def to_json(self) -> t.Mapping[str, t.Any]:
return {
"friends": to_json(self.friends),... | 0.602529 | 0.250709 |
import json
import os
import ui
import requests
import xml.etree.cElementTree
import threading
import ui
import time
import math
import tarfile
import plistlib
import console
import sqlite3
import shutil
import copy
from urllib.parse import urlparse
from os.path import splitext, basename
from objc_util import ns, Obj... | Managers/DocsetManager.py | import json
import os
import ui
import requests
import xml.etree.cElementTree
import threading
import ui
import time
import math
import tarfile
import plistlib
import console
import sqlite3
import shutil
import copy
from urllib.parse import urlparse
from os.path import splitext, basename
from objc_util import ns, Obj... | 0.090168 | 0.063279 |
import os
import numpy as np
from astropy.table import Table
from src.Data import Data
from kndetect.utils import get_data_dir_path
def ztf_ob_type_name(type_no: int):
"""
Retuens the type name in string for the type numbers in the ZTF dataset.
Parameters
----------
type_no: int
type nu... | pc_generation/src/io_utils.py | import os
import numpy as np
from astropy.table import Table
from src.Data import Data
from kndetect.utils import get_data_dir_path
def ztf_ob_type_name(type_no: int):
"""
Retuens the type name in string for the type numbers in the ZTF dataset.
Parameters
----------
type_no: int
type nu... | 0.820577 | 0.335841 |
from __future__ import print_function
import os
import sys
from mock import patch
from six import StringIO
from djangocms_installer import config
from djangocms_installer.install import check_install
from djangocms_installer.utils import less_than_version, supported_versions
from .base import BaseTestClass
class T... | cms/lib/python2.7/site-packages/tests/config.py | from __future__ import print_function
import os
import sys
from mock import patch
from six import StringIO
from djangocms_installer import config
from djangocms_installer.install import check_install
from djangocms_installer.utils import less_than_version, supported_versions
from .base import BaseTestClass
class T... | 0.362292 | 0.112747 |
import os.path
import re
import pickle, hashlib
from sklearn.externals import joblib
from logging import debug, info
from ngram import get_ngrams
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
import numpy as np
def identity(x):
return x
def preprocess(d... | features.py | import os.path
import re
import pickle, hashlib
from sklearn.externals import joblib
from logging import debug, info
from ngram import get_ngrams
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
import numpy as np
def identity(x):
return x
def preprocess(d... | 0.561455 | 0.152505 |
import pytest
from alphabet_detector.alphabet_detector import AlphabetDetector
@pytest.fixture
def ad():
return AlphabetDetector()
@pytest.fixture
def ad_no_mem():
return AlphabetDetector(no_memory=True)
class TestAlphabetDetector:
def test_is_in_alphabet(self, ad, ad_no_mem):
assert ad.is_in_... | tests/test_alphabet_detector.py | import pytest
from alphabet_detector.alphabet_detector import AlphabetDetector
@pytest.fixture
def ad():
return AlphabetDetector()
@pytest.fixture
def ad_no_mem():
return AlphabetDetector(no_memory=True)
class TestAlphabetDetector:
def test_is_in_alphabet(self, ad, ad_no_mem):
assert ad.is_in_... | 0.584745 | 0.58261 |
import pandas as pd
from retry import retry
from google.oauth2 import service_account
import gspread
import gspread_dataframe as gd
class googleBigQueryConnector(object):
def __init__(self, google_big_query_credentials, retry_tries=3, retry_delay=3):
self.retry_tries = retry_tries
self.retry_delay... | pigging/connectors.py | import pandas as pd
from retry import retry
from google.oauth2 import service_account
import gspread
import gspread_dataframe as gd
class googleBigQueryConnector(object):
def __init__(self, google_big_query_credentials, retry_tries=3, retry_delay=3):
self.retry_tries = retry_tries
self.retry_delay... | 0.366023 | 0.092565 |
import logging
import numpy as np
from .misc import normalized_correlation, homo_project, euclidean_disance
class Correspond(object):
def __init__(self, image1, image2, r1, r2, threshold=0, neighbor=3):
self.image1 = image1
self.image2 = image2
self.r1 = r1
self.r2 = r2
... | EECE5639-Computer-Vision/Project-2/libs/Correspondences.py | import logging
import numpy as np
from .misc import normalized_correlation, homo_project, euclidean_disance
class Correspond(object):
def __init__(self, image1, image2, r1, r2, threshold=0, neighbor=3):
self.image1 = image1
self.image2 = image2
self.r1 = r1
self.r2 = r2
... | 0.715026 | 0.534491 |
from cognite.client.data_classes._base import *
class TransformationSchemaType:
def __init__(self, type: str = None):
self.type = type
class TransformationSchemaArrayType(TransformationSchemaType):
def __init__(self, type: str = None, element_type: str = None, contains_null: bool = False):
s... | cognite/experimental/data_classes/transformation_schema.py | from cognite.client.data_classes._base import *
class TransformationSchemaType:
def __init__(self, type: str = None):
self.type = type
class TransformationSchemaArrayType(TransformationSchemaType):
def __init__(self, type: str = None, element_type: str = None, contains_null: bool = False):
s... | 0.872143 | 0.238578 |
from unittest import TestCase
from unittest.mock import MagicMock
from maintain_frontend.add_land_charge.routing.review_router import ReviewRouter
from maintain_frontend import main
from flask import g
from maintain_frontend.models import LocalLandChargeItem
REDIRECT_ROUTE = 'add_land_charge.get_charge_description'
RE... | unit_tests/add_land_charge/routing/test_review_router.py | from unittest import TestCase
from unittest.mock import MagicMock
from maintain_frontend.add_land_charge.routing.review_router import ReviewRouter
from maintain_frontend import main
from flask import g
from maintain_frontend.models import LocalLandChargeItem
REDIRECT_ROUTE = 'add_land_charge.get_charge_description'
RE... | 0.761627 | 0.330985 |
import Pyro4
import os
import sys
import pwd
import subprocess
import re
from dotenv import load_dotenv
load_dotenv()
regexCleanConsoleOutput = r"\\.*?]"
os.environ["PYRO_HMAC_KEY"] = os.getenv("DAEMON_HMAC")
subprocess.Popen(["python3", "-m", "Pyro4.naming"])
def runAsUser(username):
uid = pwd.getpwnam(userna... | daemon/daemon.py | import Pyro4
import os
import sys
import pwd
import subprocess
import re
from dotenv import load_dotenv
load_dotenv()
regexCleanConsoleOutput = r"\\.*?]"
os.environ["PYRO_HMAC_KEY"] = os.getenv("DAEMON_HMAC")
subprocess.Popen(["python3", "-m", "Pyro4.naming"])
def runAsUser(username):
uid = pwd.getpwnam(userna... | 0.265214 | 0.10079 |
import os
import boto3
from wand.image import Image
from boto3.s3.transfer import S3Transfer
from settings import Config
from utils.commons import utc_now_timestamp as now, utc_now_ts_ms as now_ms
def thumbnail_process(file, content_type, content_id, sizes=[("sm", 50), ("lg", 75), ("xlg", 200)]):
image_id = now()... | utils/image_upload.py | import os
import boto3
from wand.image import Image
from boto3.s3.transfer import S3Transfer
from settings import Config
from utils.commons import utc_now_timestamp as now, utc_now_ts_ms as now_ms
def thumbnail_process(file, content_type, content_id, sizes=[("sm", 50), ("lg", 75), ("xlg", 200)]):
image_id = now()... | 0.279337 | 0.096663 |
import pickle
import os
from google_auth_oauthlib.flow import Flow, InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload
from google.auth.transport.requests import Request
import logging
def get_credentials(client_secret_file, token_path, scopes):
cred = N... | utils.py | import pickle
import os
from google_auth_oauthlib.flow import Flow, InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload
from google.auth.transport.requests import Request
import logging
def get_credentials(client_secret_file, token_path, scopes):
cred = N... | 0.41561 | 0.088465 |
from os import access
from requests.auth import _basic_auth_str
from termcolor import colored
import unittest
import requests
class SecurityTests(unittest.TestCase):
API_URL = "http://127.0.0.1:5000/"
customers = [{'username': 'Customer1','password':'<PASSWORD>',},
{'username': 'Customer2',... | project/tests/tests_security.py | from os import access
from requests.auth import _basic_auth_str
from termcolor import colored
import unittest
import requests
class SecurityTests(unittest.TestCase):
API_URL = "http://127.0.0.1:5000/"
customers = [{'username': 'Customer1','password':'<PASSWORD>',},
{'username': 'Customer2',... | 0.209631 | 0.222436 |
import daal4py as d4p
import numpy as np
class LogisticRegression:
'''
....Constructor to set LogisticRegression compute parameters
....'''
def __init__(
self,
nClasses,
dtype="float",
penaltyL1=0,
penaltyL2=0,
interceptFlag=True,
resultsToCompute="com... | aws/sagemaker/LogosticRegression/container/LogisticRegression/LogisticRegression.py |
import daal4py as d4p
import numpy as np
class LogisticRegression:
'''
....Constructor to set LogisticRegression compute parameters
....'''
def __init__(
self,
nClasses,
dtype="float",
penaltyL1=0,
penaltyL2=0,
interceptFlag=True,
resultsToCompute="com... | 0.652574 | 0.250941 |
from __future__ import annotations
from typing import Optional, TYPE_CHECKING
from spark_auto_mapper_fhir.fhir_types.list import FhirList
from spark_auto_mapper_fhir.fhir_types.string import FhirString
from spark_auto_mapper_fhir.extensions.extension_base import ExtensionBase
from spark_auto_mapper_fhir.base_types.fh... | spark_auto_mapper_fhir/backbone_elements/plan_definition_target.py | from __future__ import annotations
from typing import Optional, TYPE_CHECKING
from spark_auto_mapper_fhir.fhir_types.list import FhirList
from spark_auto_mapper_fhir.fhir_types.string import FhirString
from spark_auto_mapper_fhir.extensions.extension_base import ExtensionBase
from spark_auto_mapper_fhir.base_types.fh... | 0.925651 | 0.301818 |
import collections
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import sarnet_td3.common.ops as ops
RRLCellTuple = collections.namedtuple("RRLCellTuple", ("memory"))
class RRLCell(tf.compat.v1.nn.rnn_cell.RNNCell):
"""
Input:
Query: Query from the agent "i" recurren... | sarnet_td3/models/SARNet_comm.py | import collections
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import sarnet_td3.common.ops as ops
RRLCellTuple = collections.namedtuple("RRLCellTuple", ("memory"))
class RRLCell(tf.compat.v1.nn.rnn_cell.RNNCell):
"""
Input:
Query: Query from the agent "i" recurren... | 0.886844 | 0.529446 |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
from .utils import scale_images, calculate_fid
def sample(gan, train_dataset):
"""Generate and visualize sample generated by the GAN
Args:
gan (GAN): Compiled GAN model
train_dataset (tf.data.Data... | src/gan-dogs/model/evaluation.py | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
from .utils import scale_images, calculate_fid
def sample(gan, train_dataset):
"""Generate and visualize sample generated by the GAN
Args:
gan (GAN): Compiled GAN model
train_dataset (tf.data.Data... | 0.908346 | 0.587973 |
import unittest
from time import sleep
import os
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
class TestAddNewNodes(unittest.TestCase):
def setUp(self... | FlaskTry/seleniumTests/testAddDataManually.py | import unittest
from time import sleep
import os
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
class TestAddNewNodes(unittest.TestCase):
def setUp(self... | 0.27406 | 0.220972 |
from functools import wraps
from typing import Callable, List, Union, Any, TypeVar
from types import TracebackType
import dill
import logging
from tblib import Traceback
from six import reraise
from parsl.data_provider.files import File
logger = logging.getLogger(__name__)
class ParslError(Exception):
"""Base... | parsl/app/errors.py | from functools import wraps
from typing import Callable, List, Union, Any, TypeVar
from types import TracebackType
import dill
import logging
from tblib import Traceback
from six import reraise
from parsl.data_provider.files import File
logger = logging.getLogger(__name__)
class ParslError(Exception):
"""Base... | 0.856092 | 0.275318 |
from sys import path
path.append("src") # noqa
from send_notifs import *
from _exec_update_all_courses import do_update_async_SOFT, do_update_async_HARD
from datetime import datetime
from sys import stderr
import pytz
from config import (
NOTIFS_INTERVAL_SECS,
NOTIFS_SHEET_POLL_MINS,
GLOBAL_COURSE_UPDAT... | send_notifs_cron.py |
from sys import path
path.append("src") # noqa
from send_notifs import *
from _exec_update_all_courses import do_update_async_SOFT, do_update_async_HARD
from datetime import datetime
from sys import stderr
import pytz
from config import (
NOTIFS_INTERVAL_SECS,
NOTIFS_SHEET_POLL_MINS,
GLOBAL_COURSE_UPDAT... | 0.305594 | 0.107531 |
import numpy as np
import json
import argparse
import glob
import os
parser = argparse.ArgumentParser()
parser.add_argument("--full_labels_json", help="json file with full gt info (pose, camera coordinates, etc.)")
parser.add_argument("--save_file", help="file to save challenge gt to")
args = parser.parse_args()
if ... | gt_pose_publisher/object_gt_visualization/gen_challenge_gt.py | import numpy as np
import json
import argparse
import glob
import os
parser = argparse.ArgumentParser()
parser.add_argument("--full_labels_json", help="json file with full gt info (pose, camera coordinates, etc.)")
parser.add_argument("--save_file", help="file to save challenge gt to")
args = parser.parse_args()
if ... | 0.35488 | 0.233029 |
import populartimes as pt
import json
import csv
# Google API key goes here
key = " "
# Some places' latitudes and longditudes
weybrige = (51.371647361061285, -0.45789862797850234)
romford = (51.57663036646349, 0.1773901549118097)
wandsworth = (51.45776244897419, -0.1876677526206532)
vauxhall = (51.48631022518863,... | populartime.py | import populartimes as pt
import json
import csv
# Google API key goes here
key = " "
# Some places' latitudes and longditudes
weybrige = (51.371647361061285, -0.45789862797850234)
romford = (51.57663036646349, 0.1773901549118097)
wandsworth = (51.45776244897419, -0.1876677526206532)
vauxhall = (51.48631022518863,... | 0.106435 | 0.270065 |
class Node:
def __init__(self,val):
self.val = val
self.next = None
self.prev = None
class MyLinkedList:
def __init__(self):
self.head = None
self.size = 0
def get(self, index: int) -> int:
if index < 0 or index >= self.size:
return -1
... | 707-design-linked-list/707-design-linked-list.py | class Node:
def __init__(self,val):
self.val = val
self.next = None
self.prev = None
class MyLinkedList:
def __init__(self):
self.head = None
self.size = 0
def get(self, index: int) -> int:
if index < 0 or index >= self.size:
return -1
... | 0.344995 | 0.212171 |
import collections
import os
import sys
import unittest
import mock
from infra.services.sysmon import system_metrics
from infra_libs import ts_mon
class SystemMetricsTest(unittest.TestCase):
def setUp(self):
ts_mon.reset_for_unittest()
def assertBetween(self, lower, upper, value):
self.assertGreaterEq... | infra/services/sysmon/test/system_metrics_test.py |
import collections
import os
import sys
import unittest
import mock
from infra.services.sysmon import system_metrics
from infra_libs import ts_mon
class SystemMetricsTest(unittest.TestCase):
def setUp(self):
ts_mon.reset_for_unittest()
def assertBetween(self, lower, upper, value):
self.assertGreaterEq... | 0.445771 | 0.389372 |
import numpy as np
import json
def quadratic_bounding_box(x0, y0, width, height, imshape):
# We assume that we can create a image that is quadratic without
# minimizing any of the sides
assert width <= min(imshape[:2])
assert height <= min(imshape[:2])
min_side = min(height, width)
if height !... | deep_privacy/dataset_tools/utils.py | import numpy as np
import json
def quadratic_bounding_box(x0, y0, width, height, imshape):
# We assume that we can create a image that is quadratic without
# minimizing any of the sides
assert width <= min(imshape[:2])
assert height <= min(imshape[:2])
min_side = min(height, width)
if height !... | 0.560614 | 0.778186 |
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.preprocessing import normalize
from tensorflow.python.framework import ops
import tensorflow as tf
ops.reset_default_graph()
sess = tf.Session()
# Load the data and split the dataset.
iris = datasets.load_iris()
x_vals = np.a... | 4.1_LinearSVM.py | import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.preprocessing import normalize
from tensorflow.python.framework import ops
import tensorflow as tf
ops.reset_default_graph()
sess = tf.Session()
# Load the data and split the dataset.
iris = datasets.load_iris()
x_vals = np.a... | 0.834912 | 0.741253 |
import pytest
from kotonoha.mecab_handler import MeCabHandler
class Struct:
def __init__(self, **entries):
self.__dict__.update(entries)
class MecabNode:
def __init__(self, feature):
self.feature = feature
self.surface = 'aaa'
self.next = None
@pytest.fixture
def mecab_moc... | tests/mecab_handler_test.py | import pytest
from kotonoha.mecab_handler import MeCabHandler
class Struct:
def __init__(self, **entries):
self.__dict__.update(entries)
class MecabNode:
def __init__(self, feature):
self.feature = feature
self.surface = 'aaa'
self.next = None
@pytest.fixture
def mecab_moc... | 0.416797 | 0.282699 |
import argparse
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import lightgbm as lgb
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import KFold
import datetime
import gc
import pickle
from utils import fill_weather_dataset, reduce_mem_usage, features_engineering, ... | solutions/rank-1/kfold_model/predict.py | import argparse
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import lightgbm as lgb
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import KFold
import datetime
import gc
import pickle
from utils import fill_weather_dataset, reduce_mem_usage, features_engineering, ... | 0.460774 | 0.210644 |
from lxml import etree
from tkinter import simpledialog
STATUS_AL_MAL = {
"A voir": "Plan to Watch",
"MA voir": "Plan to Read",
"En visionnement": "Watching",
"MEn visionnement": "Reading",
"Fini": "Completed",
"Abandonné": "Dropped"
}
class MALExporter:
def __init__(self, main):
... | alist/data/mal_export.py | from lxml import etree
from tkinter import simpledialog
STATUS_AL_MAL = {
"A voir": "Plan to Watch",
"MA voir": "Plan to Read",
"En visionnement": "Watching",
"MEn visionnement": "Reading",
"Fini": "Completed",
"Abandonné": "Dropped"
}
class MALExporter:
def __init__(self, main):
... | 0.259638 | 0.16872 |
__version__ = "$Revision-Id:$"
import unittest
from webdav.Connection import WebdavError
from datafinder.persistence.principal_search import principal
from datafinder.persistence.privileges import constants
from datafinder.persistence.privileges.ace import AccessControlListEntry
from datafinder.persisten... | test/unittest/datafinder_test/persistence/adapters/webdav_/privileges/adapter_test.py | __version__ = "$Revision-Id:$"
import unittest
from webdav.Connection import WebdavError
from datafinder.persistence.principal_search import principal
from datafinder.persistence.privileges import constants
from datafinder.persistence.privileges.ace import AccessControlListEntry
from datafinder.persisten... | 0.463201 | 0.261767 |
import abc
import numpy as np
class HamiltonianDynamicsContext(metaclass=abc.ABCMeta):
@classmethod
@abc.abstractmethod
def configuration_space_dimension (cls):
pass
@classmethod
@abc.abstractmethod
def H (cls, qp):
"""Evaluates the Hamiltonian on the (2,N)-shaped (q,p) coordin... | heisenberg/library/hamiltonian_dynamics_context.py | import abc
import numpy as np
class HamiltonianDynamicsContext(metaclass=abc.ABCMeta):
@classmethod
@abc.abstractmethod
def configuration_space_dimension (cls):
pass
@classmethod
@abc.abstractmethod
def H (cls, qp):
"""Evaluates the Hamiltonian on the (2,N)-shaped (q,p) coordin... | 0.881526 | 0.638751 |
# Author: <NAME> <<EMAIL>>
# Copyright: (C) 1998-2015 by <NAME>
# License: GPL 2 (see __init__.py)
"""
Concrete polytrig (orders 2 & 3) puzzles.
"""
from puzzler.puzzles import polytrigs
from puzzler.puzzles.polytrigs import Polytrigs23, OneSidedPolytrigs23
from puzzler.coordsys import TriangularGrid3DCoordSet
cla... | puzzler/puzzles/polytrigs23.py |
# Author: <NAME> <<EMAIL>>
# Copyright: (C) 1998-2015 by <NAME>
# License: GPL 2 (see __init__.py)
"""
Concrete polytrig (orders 2 & 3) puzzles.
"""
from puzzler.puzzles import polytrigs
from puzzler.puzzles.polytrigs import Polytrigs23, OneSidedPolytrigs23
from puzzler.coordsys import TriangularGrid3DCoordSet
cla... | 0.799521 | 0.406656 |
from . import Parts
from . import ChipIdentifiers
from . import FlashControllers
import logging
def _get_subclasses(classname):
"""Recursively obtains all subclasses of the given class."""
subclasses = []
for p in classname.__subclasses__():
subclasses.append(p)
subclasses.extend(_get_s... | SAMBALoader/PartLibrary.py |
from . import Parts
from . import ChipIdentifiers
from . import FlashControllers
import logging
def _get_subclasses(classname):
"""Recursively obtains all subclasses of the given class."""
subclasses = []
for p in classname.__subclasses__():
subclasses.append(p)
subclasses.extend(_get_s... | 0.772788 | 0.268678 |
import os
import logging
import zmq
import math
import traceback
import datetime
import time
import multiprocessing
import rethinkdb
import utils
__all__ = [
'ImportManager',
'ImportWorker',
]
LOG = logging.getLogger(__name__)
class ImportManager(object):
def __init__(self, controller, config):
... | shotgunCache/entityImporter.py | import os
import logging
import zmq
import math
import traceback
import datetime
import time
import multiprocessing
import rethinkdb
import utils
__all__ = [
'ImportManager',
'ImportWorker',
]
LOG = logging.getLogger(__name__)
class ImportManager(object):
def __init__(self, controller, config):
... | 0.363986 | 0.102619 |
from crescent.core import Resource, Tag, AllowedValues as CoreAllowedValues
from crescent.functions import AnyFn
from .db_instance_role import DBInstanceRole
from .processor_feature import ProcessorFeature
from .constants import AllowedValues, Conditions, ResourceRequiredProperties
from typing import Union
class DBIn... | crescent/resources/rds/db_instance/db_instance.py | from crescent.core import Resource, Tag, AllowedValues as CoreAllowedValues
from crescent.functions import AnyFn
from .db_instance_role import DBInstanceRole
from .processor_feature import ProcessorFeature
from .constants import AllowedValues, Conditions, ResourceRequiredProperties
from typing import Union
class DBIn... | 0.86241 | 0.0745 |
import gym
import numpy as np
import random
from MEC_env import mec_def
from MEC_env import mec_env
import tensorflow as tf
from tensorflow import keras
import tensorboard
import datetime
import MAAC_agent
from matplotlib import pyplot as plt
import json
print("TensorFlow version: ", tf.__version__)
# ... | MAAC_run.py | import gym
import numpy as np
import random
from MEC_env import mec_def
from MEC_env import mec_env
import tensorflow as tf
from tensorflow import keras
import tensorboard
import datetime
import MAAC_agent
from matplotlib import pyplot as plt
import json
print("TensorFlow version: ", tf.__version__)
# ... | 0.38769 | 0.119459 |
import numpy as np
import os
import tensorflow as tf
import string
import random
import math
import sys
from sentence_grouper import SentenceGrouper
class NerModel:
# If session is not defined than default session will be used
def __init__(self, session = None, dummy_tags = None, use_contrib=True):
se... | python/tensorflow/ner/ner_model.py | import numpy as np
import os
import tensorflow as tf
import string
import random
import math
import sys
from sentence_grouper import SentenceGrouper
class NerModel:
# If session is not defined than default session will be used
def __init__(self, session = None, dummy_tags = None, use_contrib=True):
se... | 0.563378 | 0.146697 |
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='PartNumberClass',
fields=[
('id', models.AutoField(auto_cr... | parts/app/partsnumber/migrations/0001_initial.py |
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='PartNumberClass',
fields=[
('id', models.AutoField(auto_cr... | 0.548915 | 0.174059 |
import functools
import hashlib
import hmac
import subprocess
from base64 import b64encode
from io import BytesIO
from typing import List, Any
import qrcode
from flask import abort
from flask import request
from flask import session
from flask_login import current_user
from flask_socketio import disconnect
from ldap3 ... | home/web/utils.py | import functools
import hashlib
import hmac
import subprocess
from base64 import b64encode
from io import BytesIO
from typing import List, Any
import qrcode
from flask import abort
from flask import request
from flask import session
from flask_login import current_user
from flask_socketio import disconnect
from ldap3 ... | 0.53607 | 0.07333 |