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 |
|---|---|---|---|---|
from django.core.management.base import BaseCommand
from django.conf import settings
from uw_pws import PWS
from uw_canvas.accounts import Accounts
from uw_canvas.reports import Reports
from restclients_core.exceptions import DataFailureException, InvalidRegID
from os.path import dirname
import csv
import sys
class ... | sis_provisioner/management/commands/find_active_instructors.py |
from django.core.management.base import BaseCommand
from django.conf import settings
from uw_pws import PWS
from uw_canvas.accounts import Accounts
from uw_canvas.reports import Reports
from restclients_core.exceptions import DataFailureException, InvalidRegID
from os.path import dirname
import csv
import sys
class ... | 0.22093 | 0.096791 |
from abc import abstractmethod
from logging import getLogger
LOGGER = getLogger(__name__)
class NamedEntity(object):
"""
This class represents an entity with a unique identifier, and a human-readable text description.
Attributes
----------
identifier : str
A unique identifier.
descr... | ntcir_mias_search/abstract.py | from abc import abstractmethod
from logging import getLogger
LOGGER = getLogger(__name__)
class NamedEntity(object):
"""
This class represents an entity with a unique identifier, and a human-readable text description.
Attributes
----------
identifier : str
A unique identifier.
descr... | 0.945714 | 0.439386 |
from pkg_resources import get_distribution
__version__ = get_distribution('pg_chameleon').version
import argparse
from pg_chameleon import replica_engine
from pg_chameleon import config_dir
configdir = config_dir()
configdir.set_config()
commands = [
'create_schema',
'init_replica',
'start_replica',
'upgrade_schem... | scripts/chameleon.py | from pkg_resources import get_distribution
__version__ = get_distribution('pg_chameleon').version
import argparse
from pg_chameleon import replica_engine
from pg_chameleon import config_dir
configdir = config_dir()
configdir.set_config()
commands = [
'create_schema',
'init_replica',
'start_replica',
'upgrade_schem... | 0.371137 | 0.058132 |
import json
import pickle
import os
from typing import Dict, Iterable, TypeVar, Type, List, Union, Any
if __package__:
from link_analysis.models import Header, DocumentHeader, CleanLink
else:
from models import Header, DocumentHeader, CleanLink # type: ignore
# Don't forget to add to this place new classes w... | link_analysis/converters.py | import json
import pickle
import os
from typing import Dict, Iterable, TypeVar, Type, List, Union, Any
if __package__:
from link_analysis.models import Header, DocumentHeader, CleanLink
else:
from models import Header, DocumentHeader, CleanLink # type: ignore
# Don't forget to add to this place new classes w... | 0.471223 | 0.220594 |
from .helpers import Create, List
from .utils.rave_utils import merge_dict, initialize_config
class PreAuthorization(Create):
"""
Preauthorization for refunds and card transactions
"""
@classmethod
def capture(cls, payload, api):
"""
process preauthorization of capture transaction... | ravepaypysdk/resources.py | from .helpers import Create, List
from .utils.rave_utils import merge_dict, initialize_config
class PreAuthorization(Create):
"""
Preauthorization for refunds and card transactions
"""
@classmethod
def capture(cls, payload, api):
"""
process preauthorization of capture transaction... | 0.739611 | 0.13589 |
import random
import string
from time import sleep
import sys
def delay_print(s):
for c in s:
sys.stdout.write('%s' % c)
sys.stdout.flush()
sleep(0.25)
delay_print("--== A7MD0V PRESENTS ==--\n")
delay_print("GASPE: Genetic Algorithm String Production Engine...\n")
print("Hello user...")
... | GA_HelloWorld.py |
import random
import string
from time import sleep
import sys
def delay_print(s):
for c in s:
sys.stdout.write('%s' % c)
sys.stdout.flush()
sleep(0.25)
delay_print("--== A7MD0V PRESENTS ==--\n")
delay_print("GASPE: Genetic Algorithm String Production Engine...\n")
print("Hello user...")
... | 0.227555 | 0.186687 |
from __future__ import annotations
from pioreactor.automations import events
from pioreactor.automations.dosing.base import DosingAutomationJob
from pioreactor.exc import CalibrationError
from pioreactor.utils import local_persistant_storage
class Turbidostat(DosingAutomationJob):
"""
Turbidostat mode - try ... | pioreactor/automations/dosing/turbidostat.py | from __future__ import annotations
from pioreactor.automations import events
from pioreactor.automations.dosing.base import DosingAutomationJob
from pioreactor.exc import CalibrationError
from pioreactor.utils import local_persistant_storage
class Turbidostat(DosingAutomationJob):
"""
Turbidostat mode - try ... | 0.878887 | 0.33158 |
import scrapy
from scrapy_demo.items import AosunItem
class AosunSpider(scrapy.Spider):
name = 'aosun_spider' # 定义爬虫的名称，用于区别spider，该名称必须是唯一的，不可为不同的spider设置相同的名字
allowed_domains = ['aosun.cloud'] # 定义允许爬取的域，若不是该列表内的域名则放弃抓取
custom_settings = {
'ITEM_PIPELINES': {'scrapy_demo.pipelines.AosunPipelin... | scrapy_demo/spiders/aosun_spider.py | import scrapy
from scrapy_demo.items import AosunItem
class AosunSpider(scrapy.Spider):
name = 'aosun_spider' # 定义爬虫的名称，用于区别spider，该名称必须是唯一的，不可为不同的spider设置相同的名字
allowed_domains = ['aosun.cloud'] # 定义允许爬取的域，若不是该列表内的域名则放弃抓取
custom_settings = {
'ITEM_PIPELINES': {'scrapy_demo.pipelines.AosunPipelin... | 0.165425 | 0.113604 |
import logging
import time
from tqdm import tqdm
from settings import number_of_retries
logger = logging.getLogger(__name__)
class Sync:
"""Assumptions:
- Unito has run currently, so that
- Each issue has a counterpart in each management system
- Each issue's description says the name of the... | src/sync.py | import logging
import time
from tqdm import tqdm
from settings import number_of_retries
logger = logging.getLogger(__name__)
class Sync:
"""Assumptions:
- Unito has run currently, so that
- Each issue has a counterpart in each management system
- Each issue's description says the name of the... | 0.515132 | 0.154472 |
import sys
import os
BASE_PATH = os.environ.get('BASE_PATH')
sys.path.insert(1, BASE_PATH + '/telegram-bots/src')
from libraries.util import create_href_str
url_website = 'boobank.org'
url_uniswap_boo = 'https://app.uniswap.org/#/swap?inputCurrency=BOO'
url_uniswap_ecto = 'https://app.uniswap.org/#/swap?inputCurrenc... | src/bots/boo_bank/bot_boo_values.py | import sys
import os
BASE_PATH = os.environ.get('BASE_PATH')
sys.path.insert(1, BASE_PATH + '/telegram-bots/src')
from libraries.util import create_href_str
url_website = 'boobank.org'
url_uniswap_boo = 'https://app.uniswap.org/#/swap?inputCurrency=BOO'
url_uniswap_ecto = 'https://app.uniswap.org/#/swap?inputCurrenc... | 0.269614 | 0.213644 |
from google.colab import files
files.upload()
!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/
!chmod 600 /root/.kaggle/kaggle.json
!kaggle datasets download -d shobhit18th/indian-currency-notes
Dataset = !unzip indian-currency-notes.zip
!pip install "torch==1.4" "torchvision==0.5.0"
# Commented out IPython magic to... | Notebooks/classify_notes.py | from google.colab import files
files.upload()
!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/
!chmod 600 /root/.kaggle/kaggle.json
!kaggle datasets download -d shobhit18th/indian-currency-notes
Dataset = !unzip indian-currency-notes.zip
!pip install "torch==1.4" "torchvision==0.5.0"
# Commented out IPython magic to... | 0.529263 | 0.151843 |
from django import forms
def _get_field_group(field_name, enable_fields):
if enable_fields[field_name]:
return "User"
return "Admin"
def get_choices_from_string(string_with_anti_slash_n):
split_lines = string_with_anti_slash_n.splitlines()
returned_list = list()
for line in split_lines:
... | service_catalog/forms/utils.py | from django import forms
def _get_field_group(field_name, enable_fields):
if enable_fields[field_name]:
return "User"
return "Admin"
def get_choices_from_string(string_with_anti_slash_n):
split_lines = string_with_anti_slash_n.splitlines()
returned_list = list()
for line in split_lines:
... | 0.349311 | 0.123392 |
import logging
import subprocess
import requests
from requests import Response
class Topic:
"""A class that represent a Kafka topic."""
def __init__(
self,
blaster_bearer_token: str,
blaster_topics_api_url: str,
blaster_cluster_uuid: str,
confluent_env_id: str,
... | kafka-delete-topic/capability_service/kafka.py | import logging
import subprocess
import requests
from requests import Response
class Topic:
"""A class that represent a Kafka topic."""
def __init__(
self,
blaster_bearer_token: str,
blaster_topics_api_url: str,
blaster_cluster_uuid: str,
confluent_env_id: str,
... | 0.736211 | 0.176885 |
# Python Standard Library general imports
import logging
import requests
# Python Standard Library specific imports
from datetime import datetime
# pyCKW class imports
from pyckw.pyCKWConfig import pyCKWConfig
from pyckw.pyCKWExceptions import pyCKWValidationError
# pyCKW contants imports
from pyckw.pyCKWConstants i... | pyckw/pyCKW.py | # Python Standard Library general imports
import logging
import requests
# Python Standard Library specific imports
from datetime import datetime
# pyCKW class imports
from pyckw.pyCKWConfig import pyCKWConfig
from pyckw.pyCKWExceptions import pyCKWValidationError
# pyCKW contants imports
from pyckw.pyCKWConstants i... | 0.717309 | 0.16248 |
import torch
import torch.nn as nn
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class Aggregator(torch.nn.Module):
def __init__(self, config):
super(Aggregator, self).__init__()
self.config = config
in_channels = 1 + len(config.news_rep['dilations'])
lay... | src/model/FIM/aggregator.py | import torch
import torch.nn as nn
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class Aggregator(torch.nn.Module):
def __init__(self, config):
super(Aggregator, self).__init__()
self.config = config
in_channels = 1 + len(config.news_rep['dilations'])
lay... | 0.802556 | 0.347496 |
import sys
import cx_Oracle # the package used for accessing Oracle in Python
import getpass # the package for getting password from user without displaying it
def createTable():
# get username
user = input("Username [%s]: " % getpass.getuser())
if not user:
user=getpass.getuser()
# ... | connect.py |
import sys
import cx_Oracle # the package used for accessing Oracle in Python
import getpass # the package for getting password from user without displaying it
def createTable():
# get username
user = input("Username [%s]: " % getpass.getuser())
if not user:
user=getpass.getuser()
# ... | 0.136206 | 0.111 |
__copyright__ = "Copyright (c) 2009 <NAME>"
__version__ = "$Id$"
from Queue import Queue
from tws import EWrapper
class QueueWrapper(Queue, EWrapper):
def __init__(self):
super(QueueWrapper, self).__init__()
if __debug__: # Assert structure of items put into Queue
_queue_type = Queue
... | tws/helper/_queuewrapper.py |
__copyright__ = "Copyright (c) 2009 <NAME>"
__version__ = "$Id$"
from Queue import Queue
from tws import EWrapper
class QueueWrapper(Queue, EWrapper):
def __init__(self):
super(QueueWrapper, self).__init__()
if __debug__: # Assert structure of items put into Queue
_queue_type = Queue
... | 0.444083 | 0.130507 |
from PyQt5 import QtWidgets,QtCore
from ConstructRIT.UI.ThreadedMainWindow import ThreadedMainWindow
class SandboxConfirmWindow(ThreadedMainWindow):
"""
Confirm window for enabling or disabling the sandbox.
"""
onConfirmed = QtCore.pyqtSignal()
openWindows = []
def __init__(self, windowName:... | ConstructSettingsSandbox/src/SandboxConfirmWindow.py | from PyQt5 import QtWidgets,QtCore
from ConstructRIT.UI.ThreadedMainWindow import ThreadedMainWindow
class SandboxConfirmWindow(ThreadedMainWindow):
"""
Confirm window for enabling or disabling the sandbox.
"""
onConfirmed = QtCore.pyqtSignal()
openWindows = []
def __init__(self, windowName:... | 0.67405 | 0.104889 |
import itertools
import numpy as np
EMPTY = 0
BLACK = 1
WHITE = -1
COLUMNS = "ABCDEFGHJKLMNOPQRST"
PASS = ()
class Engine():
def __init__(self, size=19, komi=6.5):
self.size = size
self.komi = komi
self.reset()
def reset(self):
self.board = np.zeros((self.size, self.size), dt... | src/engine.py | import itertools
import numpy as np
EMPTY = 0
BLACK = 1
WHITE = -1
COLUMNS = "ABCDEFGHJKLMNOPQRST"
PASS = ()
class Engine():
def __init__(self, size=19, komi=6.5):
self.size = size
self.komi = komi
self.reset()
def reset(self):
self.board = np.zeros((self.size, self.size), dt... | 0.249996 | 0.294985 |
from .base import Mutator
import json
import lmctl.reference as refs
def deprecated_behaviour_descriptor_reference():
return '$lmctl.descriptor_name'
def is_deprecated_behaviour_descriptor_reference(value):
return value == deprecated_behaviour_descriptor_reference()
class BehaviourMutator(Mutator):
de... | lmctl/project/mutate/behaviour.py | from .base import Mutator
import json
import lmctl.reference as refs
def deprecated_behaviour_descriptor_reference():
return '$lmctl.descriptor_name'
def is_deprecated_behaviour_descriptor_reference(value):
return value == deprecated_behaviour_descriptor_reference()
class BehaviourMutator(Mutator):
de... | 0.427158 | 0.072604 |
import typing
from abc import abstractmethod
from ..uno.x_interface import XInterface as XInterface_8f010a43
if typing.TYPE_CHECKING:
from ..beans.x_property_set import XPropertySet as XPropertySet_bc180bfa
from ..lang.locale import Locale as Locale_70d308fa
class XNumberFormats(XInterface_8f010a43):
"""
... | ooobuild/lo/util/x_number_formats.py | import typing
from abc import abstractmethod
from ..uno.x_interface import XInterface as XInterface_8f010a43
if typing.TYPE_CHECKING:
from ..beans.x_property_set import XPropertySet as XPropertySet_bc180bfa
from ..lang.locale import Locale as Locale_70d308fa
class XNumberFormats(XInterface_8f010a43):
"""
... | 0.667798 | 0.244352 |
from matplotlib.pyplot import figure, grid, legend, plot, show, subplot, suptitle, title
from numpy import arange, array, concatenate, cos, identity, linspace, ones, sin, tanh, tile, zeros
from numpy.random import uniform
from scipy.io import loadmat, savemat
from sys import argv
from ..controllers import CombinedCon... | lyapy/examples/segway.py |
from matplotlib.pyplot import figure, grid, legend, plot, show, subplot, suptitle, title
from numpy import arange, array, concatenate, cos, identity, linspace, ones, sin, tanh, tile, zeros
from numpy.random import uniform
from scipy.io import loadmat, savemat
from sys import argv
from ..controllers import CombinedCon... | 0.764276 | 0.682336 |
import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
def show_images(images, epoch=None, mode='show'):
if mode not in ['show', 'pause']:
raise ValueError('Unknown mode to show images: ' + mode)
if images.shape[-1] == 1:
x = images[:, :, :, 0]
cmap = 'gray'... | src/utils/image_utils.py | import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
def show_images(images, epoch=None, mode='show'):
if mode not in ['show', 'pause']:
raise ValueError('Unknown mode to show images: ' + mode)
if images.shape[-1] == 1:
x = images[:, :, :, 0]
cmap = 'gray'... | 0.340924 | 0.521715 |
import os
import pickle
from functools import lru_cache, wraps, partial
from utils.log import get_logger
logger = get_logger(__name__)
class Path(object):
@classmethod
def _get_full_path(cls, relative_path="", base_path_type="top"):
"""
不开放这段代码了，将top，src，test的dirpath登记到Config里，使用时从conf拿更合... | src/utils/io.py |
import os
import pickle
from functools import lru_cache, wraps, partial
from utils.log import get_logger
logger = get_logger(__name__)
class Path(object):
@classmethod
def _get_full_path(cls, relative_path="", base_path_type="top"):
"""
不开放这段代码了，将top，src，test的dirpath登记到Config里，使用时从conf拿更合... | 0.353986 | 0.102934 |
import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
from dataset import ModelNet10
import matplotlib.pyplot as plt
import torch.nn.functional as F
from mpl_toolkits import mplot3d
from torch.utils.data import DataLoader
from pointnet import PointNetClassifier
from pointnet_seg import Point... | models/data_based_perturbation.py | import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
from dataset import ModelNet10
import matplotlib.pyplot as plt
import torch.nn.functional as F
from mpl_toolkits import mplot3d
from torch.utils.data import DataLoader
from pointnet import PointNetClassifier
from pointnet_seg import Point... | 0.579519 | 0.591871 |
import pandas as pd
import numpy as np
import os
from PyQt5.QtCore import QAbstractTableModel, Qt, QVariant
import cubetools.config as cfg
class Model():
'''Creates data for the UI and export'''
def __init__(self):
super().__init__()
self.valid_cncfilelist = self.check_cnc_filepaths()
de... | cubetools/model.py | import pandas as pd
import numpy as np
import os
from PyQt5.QtCore import QAbstractTableModel, Qt, QVariant
import cubetools.config as cfg
class Model():
'''Creates data for the UI and export'''
def __init__(self):
super().__init__()
self.valid_cncfilelist = self.check_cnc_filepaths()
de... | 0.551815 | 0.179495 |
from empire.python.typings import *
from empire.enums.base_enum import BaseEnum
class QueueAttributes(BaseEnum):
"""
SQS Queue attributes
Attributes:
APPROXIMATE_NUMBER_OF_MESSAGES Returns the approximate number of messages available for retrieval from the queue.
APPROXIM... | Python/empire/aws/sqs/queue_attributes.py | from empire.python.typings import *
from empire.enums.base_enum import BaseEnum
class QueueAttributes(BaseEnum):
"""
SQS Queue attributes
Attributes:
APPROXIMATE_NUMBER_OF_MESSAGES Returns the approximate number of messages available for retrieval from the queue.
APPROXIM... | 0.820073 | 0.256519 |
import json
from django.urls import reverse
from rest_framework import status
import pytest
from locations import models
from locations.views import LocationListView
@pytest.fixture
def disable_throttling():
throttle_classes = LocationListView.throttle_classes
LocationListView.throttle_classes = ()
try:... | src/tests/locations/test_create_location.py | import json
from django.urls import reverse
from rest_framework import status
import pytest
from locations import models
from locations.views import LocationListView
@pytest.fixture
def disable_throttling():
throttle_classes = LocationListView.throttle_classes
LocationListView.throttle_classes = ()
try:... | 0.496338 | 0.226976 |
import os
import sys
import numpy as np
import tensorflow as tf
import io
import pysnooper
import time
import seq2seqModel
from sklearn.model_selection import train_test_split
from getConfig import get_config
CONFIG = get_config()
vocab_input_size = CONFIG['enc_vocab_size']
vocab_target_size = CONFIG['dec_vocab_size'... | execute.py | import os
import sys
import numpy as np
import tensorflow as tf
import io
import pysnooper
import time
import seq2seqModel
from sklearn.model_selection import train_test_split
from getConfig import get_config
CONFIG = get_config()
vocab_input_size = CONFIG['enc_vocab_size']
vocab_target_size = CONFIG['dec_vocab_size'... | 0.412767 | 0.255492 |
__author__='thiagocastroferreira'
"""
Author: <NAME>
Date: 28/02/2019
Description:
This script aims to generate the referring expressions.
ARGS:
[1] Path to the file with the Lexicalization step output
[2] Path to the file with the Discourse Ordering step output
[3] Path to the file wh... | hierarchical-decoding/utils/generate.py | __author__='thiagocastroferreira'
"""
Author: <NAME>
Date: 28/02/2019
Description:
This script aims to generate the referring expressions.
ARGS:
[1] Path to the file with the Lexicalization step output
[2] Path to the file with the Discourse Ordering step output
[3] Path to the file wh... | 0.371707 | 0.496582 |
import pprint
import re
import six
class BugStatisticResponseV4:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key... | huaweicloud-sdk-projectman/huaweicloudsdkprojectman/v4/model/bug_statistic_response_v4.py |
import pprint
import re
import six
class BugStatisticResponseV4:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key... | 0.504639 | 0.256925 |
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | osirix/pb2/types_pb2.py | """Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | 0.353317 | 0.083516 |
import sys
if len(sys.argv)>1:
ppNo = str(sys.argv[1])
subject_id=ppNo
if subject_id in ['sub-3008', 'sub-3038']:
print("Participant %s is excluded from DTI analyses" % subject_id)
exit()
else:
print ("No input argument")
exit()
import os
#Add FSL
os.environ["FSLDIR"] = "/apps/fsl/6... | preproc3_distortion.py | import sys
if len(sys.argv)>1:
ppNo = str(sys.argv[1])
subject_id=ppNo
if subject_id in ['sub-3008', 'sub-3038']:
print("Participant %s is excluded from DTI analyses" % subject_id)
exit()
else:
print ("No input argument")
exit()
import os
#Add FSL
os.environ["FSLDIR"] = "/apps/fsl/6... | 0.41253 | 0.130979 |
import hashlib
import tempfile
import unittest
import vivisect
from vivisect.const import *
def add_events(vw):
# Call some APIs to populate the event list.
# Coherency is not the objective. Just get some events in there.
filehash = hashlib.md5(b'testfile').hexdigest()
vw.addFile('testfile', 0x1000, ... | vivisect/tests/teststorage.py | import hashlib
import tempfile
import unittest
import vivisect
from vivisect.const import *
def add_events(vw):
# Call some APIs to populate the event list.
# Coherency is not the objective. Just get some events in there.
filehash = hashlib.md5(b'testfile').hexdigest()
vw.addFile('testfile', 0x1000, ... | 0.318485 | 0.298003 |
from typing import Optional
from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import pandas as pd
import plotly.express as pex
import plotly.offline as pof
from sqlalchemy.orm impo... | app/main.py |
from typing import Optional
from fastapi import FastAPI, Request
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
import pandas as pd
import plotly.express as pex
import plotly.offline as pof
from sqlalchemy.orm impo... | 0.90033 | 0.302383 |
from py2neo import Transaction
from base import BaseObject
from base import MandatoryParamError
from datagraph.neo.dmo import NeoGraphContext
from datagraph.neo.dmo import NeoUtils
class GenerateSimilarityMetric(BaseObject):
""" """
def __init__(self,
some_tx: Transaction,
... | python/datagraph/neo/svc/generate_similarity_metric.py |
from py2neo import Transaction
from base import BaseObject
from base import MandatoryParamError
from datagraph.neo.dmo import NeoGraphContext
from datagraph.neo.dmo import NeoUtils
class GenerateSimilarityMetric(BaseObject):
""" """
def __init__(self,
some_tx: Transaction,
... | 0.733547 | 0.154153 |
import pymysql
from PyQt5.QtWidgets import QWidget, QMessageBox,QTableWidgetItem
from PyQt5.QtCore import QDate, Qt
from FIND_LOAN import Ui_Form
class find_loan(QWidget):
def __init__(self):
super(find_loan, self).__init__()
self.ui = Ui_Form()
self.ui.setupUi(self)
self.ui.pushBu... | Bank/FindLoan.py | import pymysql
from PyQt5.QtWidgets import QWidget, QMessageBox,QTableWidgetItem
from PyQt5.QtCore import QDate, Qt
from FIND_LOAN import Ui_Form
class find_loan(QWidget):
def __init__(self):
super(find_loan, self).__init__()
self.ui = Ui_Form()
self.ui.setupUi(self)
self.ui.pushBu... | 0.147647 | 0.092033 |
SEND_UPLOADED_FILE_TO_SENDBOX_ANALYSIS_HTTP_RESPONSE = {
"errors": [],
"meta": {
"powered_by": "falconx-api",
"query_time": 0.163158146,
"quota": {
"in_progress": 3,
"total": 100,
"used": 36
},
"trace_id": "trace_id"
},
"resourc... | Packs/CrowdStrikeFalconX/Integrations/CrowdStrikeFalconX/TestsInput/http_responses.py | SEND_UPLOADED_FILE_TO_SENDBOX_ANALYSIS_HTTP_RESPONSE = {
"errors": [],
"meta": {
"powered_by": "falconx-api",
"query_time": 0.163158146,
"quota": {
"in_progress": 3,
"total": 100,
"used": 36
},
"trace_id": "trace_id"
},
"resourc... | 0.374448 | 0.316211 |
import psycopg2
def conn_curs():
"""
makes a connection to the database dont worry these are dummy keys
"""
dbname = "abcdefgh"
password = "<PASSWORD>"
host = "db.elephantsql.com"
connection = psycopg2.connect(dbname=dbname, user=dbname,
password=password... | database/queries.py | import psycopg2
def conn_curs():
"""
makes a connection to the database dont worry these are dummy keys
"""
dbname = "abcdefgh"
password = "<PASSWORD>"
host = "db.elephantsql.com"
connection = psycopg2.connect(dbname=dbname, user=dbname,
password=password... | 0.422981 | 0.129733 |
from rest_framework.test import APITestCase
from .models import Notice, UnreadNoticeCount
from .utils import create_notice
from account.tests import create_activated_test_user
from django.urls import reverse
from rest_framework import status
class NoticeTests(APITestCase):
def test_create_notice(self):
us... | notice/tests.py | from rest_framework.test import APITestCase
from .models import Notice, UnreadNoticeCount
from .utils import create_notice
from account.tests import create_activated_test_user
from django.urls import reverse
from rest_framework import status
class NoticeTests(APITestCase):
def test_create_notice(self):
us... | 0.359589 | 0.204481 |
import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def get_drawdown(p):
"""
计算净值回撤
"""
T = len(p)
hmax = [p[0]]
for t in range(1, T):
hmax.append(np.nanmax([p[t], hmax[t - 1]]))
dd = [p[t] / hmax[t] - 1 for t in range(T)]
return dd
def cal... | timingByPERank/TimingByPERank.py | import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def get_drawdown(p):
"""
计算净值回撤
"""
T = len(p)
hmax = [p[0]]
for t in range(1, T):
hmax.append(np.nanmax([p[t], hmax[t - 1]]))
dd = [p[t] / hmax[t] - 1 for t in range(T)]
return dd
def cal... | 0.208904 | 0.384883 |
import bs4 as bs
import datetime as dt
import os, pickle, requests, time
import pandas as pd
import pandas_datareader.data as web
import matplotlib.pyplot as plt
from matplotlib import style
from collections import Counter
import numpy as np
from sklearn import svm, cross_validation, neighbors
from sklearn.ensemble imp... | S&P500-Analysis/S&P500-Analysis and StockPrice Prediction.py | import bs4 as bs
import datetime as dt
import os, pickle, requests, time
import pandas as pd
import pandas_datareader.data as web
import matplotlib.pyplot as plt
from matplotlib import style
from collections import Counter
import numpy as np
from sklearn import svm, cross_validation, neighbors
from sklearn.ensemble imp... | 0.340485 | 0.276665 |
import os
import re
import numpy as np
from collections import OrderedDict
import caffe
from caffe.proto import caffe_pb2 as pb2
from . import net_caffe
from . import predictor
class CaffeNetPredictor(caffe.Net):
"""
Predicts output given the current inputs
inputs -> prediction
"""
def __init_... | visual_dynamics/predictors/predictor_caffe.py | import os
import re
import numpy as np
from collections import OrderedDict
import caffe
from caffe.proto import caffe_pb2 as pb2
from . import net_caffe
from . import predictor
class CaffeNetPredictor(caffe.Net):
"""
Predicts output given the current inputs
inputs -> prediction
"""
def __init_... | 0.667148 | 0.390941 |
import unittest
from unittest.mock import MagicMock, patch
from urllib.error import HTTPError
from bot.instagram import (Instagram, Instagram404Error, InstagramLinkError,
urlopen)
class InstagramAccountTestCase(unittest.TestCase):
@patch('bot.instagram.urlopen')
def test_get_photos... | tests/instagram/tests_instagram_account.py | import unittest
from unittest.mock import MagicMock, patch
from urllib.error import HTTPError
from bot.instagram import (Instagram, Instagram404Error, InstagramLinkError,
urlopen)
class InstagramAccountTestCase(unittest.TestCase):
@patch('bot.instagram.urlopen')
def test_get_photos... | 0.585457 | 0.328287 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('calculator', '0026_price_strict_range'),
]
operations = [
migrations.AlterField(
model_name='feetype',
name='aggregation',
field=models.CharField(choice... | fee_calculator/apps/calculator/migrations/0027_auto_20181122_1057.py |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('calculator', '0026_price_strict_range'),
]
operations = [
migrations.AlterField(
model_name='feetype',
name='aggregation',
field=models.CharField(choice... | 0.826222 | 0.286606 |
import os
import glob
import argparse
import numpy as np
import pickle as pkl
import os.path as osp
import seaborn as sns
import matplotlib.pyplot as plt
from dataset_utils import *
def parse_args():
file_purpose = '''
plot reruns stats for lottery tickets
'''
parser = argparse.ArgumentParser(desc... | experiments/plot_train_lottery_reruns.py |
import os
import glob
import argparse
import numpy as np
import pickle as pkl
import os.path as osp
import seaborn as sns
import matplotlib.pyplot as plt
from dataset_utils import *
def parse_args():
file_purpose = '''
plot reruns stats for lottery tickets
'''
parser = argparse.ArgumentParser(desc... | 0.510741 | 0.274783 |
from unittest.mock import MagicMock
from lmctl.environment.lmenv import LmSession, LmEnvironment
import lmctl.drivers.lm as lm_drivers
import lmctl.utils.descriptors as descriptor_utils
import uuid
import threading
import time
import tempfile
import shutil
import zipfile
import yaml
import os
class NotFoundError(Excep... | tests/common/simulations/lm_simulator.py | from unittest.mock import MagicMock
from lmctl.environment.lmenv import LmSession, LmEnvironment
import lmctl.drivers.lm as lm_drivers
import lmctl.utils.descriptors as descriptor_utils
import uuid
import threading
import time
import tempfile
import shutil
import zipfile
import yaml
import os
class NotFoundError(Excep... | 0.561215 | 0.149128 |
import os
from sys import argv
script, data_dir = argv # input requires file path to directory with files to analyze
"""Make list containing files in directory"""
list_of_directories = os.listdir(data_dir)
list_of_files = []
for directory in list_of_directories:
new_list = os.listdir(f"{data_dir}/{di... | input/list_namespaces.py | import os
from sys import argv
script, data_dir = argv # input requires file path to directory with files to analyze
"""Make list containing files in directory"""
list_of_directories = os.listdir(data_dir)
list_of_files = []
for directory in list_of_directories:
new_list = os.listdir(f"{data_dir}/{di... | 0.19544 | 0.131982 |
import pytest
from pypsrp._utils import (
get_hostname,
to_bytes,
to_string,
to_unicode,
version_equal_or_newer,
)
def test_unicode_to_bytes_default():
expected = b"\x61\x62\x63"
actual = to_bytes("abc")
assert actual == expected
def test_unicode_to_bytes_diff_encoding():
expect... | tests/test_utils.py | import pytest
from pypsrp._utils import (
get_hostname,
to_bytes,
to_string,
to_unicode,
version_equal_or_newer,
)
def test_unicode_to_bytes_default():
expected = b"\x61\x62\x63"
actual = to_bytes("abc")
assert actual == expected
def test_unicode_to_bytes_diff_encoding():
expect... | 0.606032 | 0.698214 |
from numba import njit, prange
import numpy as np
from openamundsen import (
constants as c,
heatconduction,
)
def soil_properties(model):
"""
Wrapper function for _soil_properties().
"""
s = model.state
_soil_properties(
model.grid.roi_idxs,
s.soil.thickness,
s.so... | openamundsen/modules/soil/soil.py | from numba import njit, prange
import numpy as np
from openamundsen import (
constants as c,
heatconduction,
)
def soil_properties(model):
"""
Wrapper function for _soil_properties().
"""
s = model.state
_soil_properties(
model.grid.roi_idxs,
s.soil.thickness,
s.so... | 0.745954 | 0.641254 |
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
mig... | proHub/migrations/0001_initial.py |
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
mig... | 0.501221 | 0.119254 |
from datetime import date, datetime
from typing import Optional
import pytest
import statey as st
from statey.syms import encoders
@pytest.mark.parametrize(
"type, check",
[
pytest.param(int, lambda x: isinstance(x, encoders.IntegerEncoder), id="int"),
pytest.param(str, lambda x: isinstance(x... | tests/test_encoders.py | from datetime import date, datetime
from typing import Optional
import pytest
import statey as st
from statey.syms import encoders
@pytest.mark.parametrize(
"type, check",
[
pytest.param(int, lambda x: isinstance(x, encoders.IntegerEncoder), id="int"),
pytest.param(str, lambda x: isinstance(x... | 0.820685 | 0.571647 |
import subprocess
import time
import os
from zipfile import ZipFile
import sh
import fabric.api
from fabric import operations
from path import path
from cosmo_tester.framework.testenv import TestCase
from cosmo_tester.framework.util import YamlPatcher, get_actual_keypath
CHEF_SERVER_COOKBOOK_ZIP_URL = (
'https:/... | system_tests/manager/chef_plugin_test.py | import subprocess
import time
import os
from zipfile import ZipFile
import sh
import fabric.api
from fabric import operations
from path import path
from cosmo_tester.framework.testenv import TestCase
from cosmo_tester.framework.util import YamlPatcher, get_actual_keypath
CHEF_SERVER_COOKBOOK_ZIP_URL = (
'https:/... | 0.354545 | 0.107204 |
from collections import OrderedDict
from typing import Sequence, TypeVar, Tuple, Dict, List, Iterator, Union, Optional
import os
import numpy as np
import pandas as pd
from .utils import MissingDict, UNK_TOKEN, BASE_VOCAB, invert_dict, create_sentence_indexer
from .skip_thoughts.encoder_manager import EncoderManage... | project2/sct/data/stories.py | from collections import OrderedDict
from typing import Sequence, TypeVar, Tuple, Dict, List, Iterator, Union, Optional
import os
import numpy as np
import pandas as pd
from .utils import MissingDict, UNK_TOKEN, BASE_VOCAB, invert_dict, create_sentence_indexer
from .skip_thoughts.encoder_manager import EncoderManage... | 0.763484 | 0.323808 |
from typing import Type, Tuple
from . import Canvas
from .common import *
from .Layer import Comparer
from .BaseClasses import CanvasNone
from .tools.geometry import TwoDimensional
class Tracker(Comparer):
def __init__(self, canvas: Type[Comparer]):
super().__init__(canvas)
def how_did_it_transform(... | canvas/Transformer.py | from typing import Type, Tuple
from . import Canvas
from .common import *
from .Layer import Comparer
from .BaseClasses import CanvasNone
from .tools.geometry import TwoDimensional
class Tracker(Comparer):
def __init__(self, canvas: Type[Comparer]):
super().__init__(canvas)
def how_did_it_transform(... | 0.75985 | 0.538134 |
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLClassifier
import tf
imp... | ros/src/tl_detector/tl_detector_use_simulator.py |
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLClassifier
import tf
imp... | 0.492188 | 0.186632 |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.formats import number_format
# List of values for use in choices
from .applib.lists import gender_list, treatment_list, type_address_list, uf_list, type_phone_list
class TimeStampedModel(models.Model):
created_a... | myproject/core/models.py | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.formats import number_format
# List of values for use in choices
from .applib.lists import gender_list, treatment_list, type_address_list, uf_list, type_phone_list
class TimeStampedModel(models.Model):
created_a... | 0.542136 | 0.118131 |
import numba
from math import sqrt
from numpy import matmul
from numpy.linalg import lstsq
@numba.jit
def vec_norm(a):
"""compute the vector norm of a vector"""
sum2 = 0
for i in range(len(a)):
sum2 += a[i] * a[i]
return sqrt(sum2)
@numba.jit
def all_zero(a):
"""evaluate if entire vector... | crossmap/vectors.py | import numba
from math import sqrt
from numpy import matmul
from numpy.linalg import lstsq
@numba.jit
def vec_norm(a):
"""compute the vector norm of a vector"""
sum2 = 0
for i in range(len(a)):
sum2 += a[i] * a[i]
return sqrt(sum2)
@numba.jit
def all_zero(a):
"""evaluate if entire vector... | 0.635449 | 0.799442 |
from datetime import datetime
from datetime import timedelta
import endpoints # pylint: disable=F0401
from protorpc import messages
from protorpc import message_types
from protorpc import remote
import controller
package = 'Stats'
class MasterCollection(messages.Message):
masters = messages.StringField(1, repe... | appengine/chrome_infra_stats/stats_api.py |
from datetime import datetime
from datetime import timedelta
import endpoints # pylint: disable=F0401
from protorpc import messages
from protorpc import message_types
from protorpc import remote
import controller
package = 'Stats'
class MasterCollection(messages.Message):
masters = messages.StringField(1, repe... | 0.696165 | 0.151122 |
import numpy as np
from scipy.ndimage.measurements import label
from features import extract_single_img_features
import cv2
class CarDetector():
def __init__(self, clf, pca, scaler, color_space='YCrCb', orient=9, pix_per_cell=8,
cell_per_block=2, hog_channel=0, spatial_size=(16, 16), hist_bins=16,
... | p5-vehicle-detection/detection.py | import numpy as np
from scipy.ndimage.measurements import label
from features import extract_single_img_features
import cv2
class CarDetector():
def __init__(self, clf, pca, scaler, color_space='YCrCb', orient=9, pix_per_cell=8,
cell_per_block=2, hog_channel=0, spatial_size=(16, 16), hist_bins=16,
... | 0.778649 | 0.439567 |
__all__ = ["ChoiceField"]
from cosmicRays.pexConfig import Field, _typeStr
from cosmicRays.pexCallStack import getStackFrame
class ChoiceField(Field):
"""A configuration field (`~lsst.pex.config.Field` subclass) that allows a
user to select from a predefined set of values.
Use ``ChoiceField`` when a co... | python/cosmicRays/choiceField.py |
__all__ = ["ChoiceField"]
from cosmicRays.pexConfig import Field, _typeStr
from cosmicRays.pexCallStack import getStackFrame
class ChoiceField(Field):
"""A configuration field (`~lsst.pex.config.Field` subclass) that allows a
user to select from a predefined set of values.
Use ``ChoiceField`` when a co... | 0.910336 | 0.381277 |
import warnings
from dataclasses import dataclass
from typing import Any
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import visgeom as vg
from pylie import SE2, SO2
from shapely import geometry as sg, ops as so
def plot_se2_covariance_on_manifold(ax, dist, n=50, chi2_val=11.345, right_perturb... | ex4_distributions.py | import warnings
from dataclasses import dataclass
from typing import Any
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import visgeom as vg
from pylie import SE2, SO2
from shapely import geometry as sg, ops as so
def plot_se2_covariance_on_manifold(ax, dist, n=50, chi2_val=11.345, right_perturb... | 0.784526 | 0.630969 |
import os
import sys
import argparse
import numpy as np
import deeptools.countReadsPerBin as countR
from deeptools import parserCommon
from deeptools.utilities import smartLabels
from deeptools._version import __version__
old_settings = np.seterr(all='ignore')
def parse_arguments(args=None):
parser = \
... | deeptools/multiBamSummary.py |
import os
import sys
import argparse
import numpy as np
import deeptools.countReadsPerBin as countR
from deeptools import parserCommon
from deeptools.utilities import smartLabels
from deeptools._version import __version__
old_settings = np.seterr(all='ignore')
def parse_arguments(args=None):
parser = \
... | 0.606732 | 0.345574 |
import click
import os
import yaml
import time
from nitpicker import helpers
from nitpicker.report_generator.generator import ReportGenerator
TEST_CASE_TEMPLATE = '''
created: {created}
author: {author}
description: {description}
tags:
setup:
- Do something to start
actions:
- Action 1
- Action 2
reactions:
- Reacti... | nitpicker/nitpicker.py |
import click
import os
import yaml
import time
from nitpicker import helpers
from nitpicker.report_generator.generator import ReportGenerator
TEST_CASE_TEMPLATE = '''
created: {created}
author: {author}
description: {description}
tags:
setup:
- Do something to start
actions:
- Action 1
- Action 2
reactions:
- Reacti... | 0.387227 | 0.136868 |
from PyQt5 import QtWidgets, QtCore
from petra_camera.gui.Marker_ui import Ui_Marker
# ----------------------------------------------------------------------
class Marker(QtWidgets.QWidget):
repaint_marker = QtCore.pyqtSignal()
delete_me = QtCore.pyqtSignal(int)
# ----------------------------------------... | petra_camera/widgets/marker.py | from PyQt5 import QtWidgets, QtCore
from petra_camera.gui.Marker_ui import Ui_Marker
# ----------------------------------------------------------------------
class Marker(QtWidgets.QWidget):
repaint_marker = QtCore.pyqtSignal()
delete_me = QtCore.pyqtSignal(int)
# ----------------------------------------... | 0.617397 | 0.087136 |
import numpy as np
import pandapipes as pp
import pandas as pd
from pandapipes.plotting import simple_plot
from pandapipes.properties.fluids import get_fluid
try:
import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
def pipeflow_openmodelica_comparison(net, log_re... | pandapipes/test/openmodelica_comparison/pipeflow_openmodelica_comparison.py |
import numpy as np
import pandapipes as pp
import pandas as pd
from pandapipes.plotting import simple_plot
from pandapipes.properties.fluids import get_fluid
try:
import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
def pipeflow_openmodelica_comparison(net, log_re... | 0.248899 | 0.284097 |
import logging
import socket
from datetime import datetime, timedelta
from collections import namedtuple
import os
import csv
import homeassistant as ha
import homeassistant.util as util
from homeassistant.components import (group, extract_entity_ids,
STATE_ON, STATE_OFF,
... | homeassistant/components/light/__init__.py | import logging
import socket
from datetime import datetime, timedelta
from collections import namedtuple
import os
import csv
import homeassistant as ha
import homeassistant.util as util
from homeassistant.components import (group, extract_entity_ids,
STATE_ON, STATE_OFF,
... | 0.570212 | 0.125547 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('resumes', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='award',
name='resume',
field=models.Fore... | resumes/migrations/0002_auto_20210425_2156.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('resumes', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='award',
name='resume',
field=models.Fore... | 0.57678 | 0.100216 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['DataSourceWindowsPerformanceCounterArgs', 'DataSourceWindowsPerformanceCounter']
@pulumi.input_type
class DataSourceWindowsPerformanceCounterArgs:
def __i... | sdk/python/pulumi_azure/loganalytics/data_source_windows_performance_counter.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['DataSourceWindowsPerformanceCounterArgs', 'DataSourceWindowsPerformanceCounter']
@pulumi.input_type
class DataSourceWindowsPerformanceCounterArgs:
def __i... | 0.885866 | 0.138695 |
import json
from django.core.urlresolvers import reverse
from nose.tools import eq_, ok_
import mkt
from mkt.api.tests import BaseAPI
from mkt.api.tests.test_oauth import RestOAuth
from mkt.site.fixtures import fixture
from mkt.site.tests import ESTestCase, app_factory
from mkt.tvplace.serializers import (TVAppSeria... | mkt/tvplace/tests/test_views.py | import json
from django.core.urlresolvers import reverse
from nose.tools import eq_, ok_
import mkt
from mkt.api.tests import BaseAPI
from mkt.api.tests.test_oauth import RestOAuth
from mkt.site.fixtures import fixture
from mkt.site.tests import ESTestCase, app_factory
from mkt.tvplace.serializers import (TVAppSeria... | 0.328314 | 0.194655 |
from scapy.layers.inet import IP
from scapy.layers.inet import ICMP
from scapy.layers.inet import TCP
from scapy.utils import rdpcap, wrpcap
import pdb, sys, os
import re, random
from scapy.all import *
ipDict = {};
def generateIpv6(baseIpv4=None):
global ipDict;
if (baseIpv4):
if (not baseIpv4 in ipD... | pcap4to6.py | from scapy.layers.inet import IP
from scapy.layers.inet import ICMP
from scapy.layers.inet import TCP
from scapy.utils import rdpcap, wrpcap
import pdb, sys, os
import re, random
from scapy.all import *
ipDict = {};
def generateIpv6(baseIpv4=None):
global ipDict;
if (baseIpv4):
if (not baseIpv4 in ipD... | 0.345216 | 0.106133 |
import os
import sys
import socket
import argparse
import requests
import subprocess
def main(req, lb):
results = doRequests(req, lb)
printResult(results)
def setUpEnvironment(nodes):
os.environ["WEB_NODES_NUMBER"] = str(nodes)
try:
print("Setting up environment...")
subprocess.che... | lbtest.py |
import os
import sys
import socket
import argparse
import requests
import subprocess
def main(req, lb):
results = doRequests(req, lb)
printResult(results)
def setUpEnvironment(nodes):
os.environ["WEB_NODES_NUMBER"] = str(nodes)
try:
print("Setting up environment...")
subprocess.che... | 0.23066 | 0.072308 |
import numpy as np
import pandas as pd
from extract_pulse import get_pulse
from rm_qu_fitting import mcmc_fit, plot_mcmc_samp
from rm_synthesis import synthesis_rm, get_rm, plot_rm_synthesis
from translate_data import translate_file, plot_spec
def read_file(file_name='RM-190303-1.txt'):
##### Read File; Forma... | ModulePy/code_usage.py | import numpy as np
import pandas as pd
from extract_pulse import get_pulse
from rm_qu_fitting import mcmc_fit, plot_mcmc_samp
from rm_synthesis import synthesis_rm, get_rm, plot_rm_synthesis
from translate_data import translate_file, plot_spec
def read_file(file_name='RM-190303-1.txt'):
##### Read File; Forma... | 0.485356 | 0.34414 |
import sys
import datetime
import csv
import ee
class ReportWriter(object):
def __init__(self, filename=None):
self.total_size = 0
self.writers = [csv.writer(sys.stdout)]
self.writer_fo = None
if filename:
if sys.version_info[0] < 3:
self.writer_fo = o... | gee_asset_manager/batch_info.py |
import sys
import datetime
import csv
import ee
class ReportWriter(object):
def __init__(self, filename=None):
self.total_size = 0
self.writers = [csv.writer(sys.stdout)]
self.writer_fo = None
if filename:
if sys.version_info[0] < 3:
self.writer_fo = o... | 0.387574 | 0.15374 |
from concept.math.point import Point2d
from concept.math.vector import Vector2d
class HDefinition(object):
"""One H definition as part of an H fractal."""
def __init__(self, center_position=Point2d(), direction=Vector2d(0.0, 1.0)):
"""Initialize with center coordinates and direction (and size)."""
... | concept/math/hfractal.py | from concept.math.point import Point2d
from concept.math.vector import Vector2d
class HDefinition(object):
"""One H definition as part of an H fractal."""
def __init__(self, center_position=Point2d(), direction=Vector2d(0.0, 1.0)):
"""Initialize with center coordinates and direction (and size)."""
... | 0.941547 | 0.648884 |
import sys
TRACK_PREVIOUS = True
class WeightedDigraph:
'''Weighted digraph class for dijkstra's algorithm implementation'''
class _edge():
def __init__(self, to_node, weight):
self.to_node = to_node
self.weight = weight
class _node():
def __init__(self, value):
... | structures/dijkstra.py | import sys
TRACK_PREVIOUS = True
class WeightedDigraph:
'''Weighted digraph class for dijkstra's algorithm implementation'''
class _edge():
def __init__(self, to_node, weight):
self.to_node = to_node
self.weight = weight
class _node():
def __init__(self, value):
... | 0.441673 | 0.371878 |
import time
import os
import tempfile
from . import conftest
import scrape_batch
def test_blackboard(batch_client, s3_client, iam_client):
# we'll need a mock iam role to pass to the mock batch client
iams = iam_client.create_role(
RoleName="test_batch_client",
AssumeRolePolicyDocument="stri... | tests/test_lambda_blackboard.py | import time
import os
import tempfile
from . import conftest
import scrape_batch
def test_blackboard(batch_client, s3_client, iam_client):
# we'll need a mock iam role to pass to the mock batch client
iams = iam_client.create_role(
RoleName="test_batch_client",
AssumeRolePolicyDocument="stri... | 0.278355 | 0.113187 |
from __future__ import print_function
from lib.cfgs import c as dcfgs
import lib.cfgs as cfgs
import os
os.environ['JOBLIB_TEMP_FOLDER']=dcfgs.shm
import argparse
os.environ['GLOG_minloglevel'] = '3'
import os.path as osp
import pickle
import sys
from multiprocessing import Process, Queue
import matplotlib.pyplot as p... | tools.py | from __future__ import print_function
from lib.cfgs import c as dcfgs
import lib.cfgs as cfgs
import os
os.environ['JOBLIB_TEMP_FOLDER']=dcfgs.shm
import argparse
os.environ['GLOG_minloglevel'] = '3'
import os.path as osp
import pickle
import sys
from multiprocessing import Process, Queue
import matplotlib.pyplot as p... | 0.451085 | 0.069226 |
import webob
import webob.exc
from api import robot_abstract
import logging
class RobotMiddleware(object):
"""WSGI middleware that routes /_wave/ requests to a robot wsgi app."""
def __init__(self, robot_app, main_app):
self._robot_app = robot_app
self._main_app = main_app
def __call__(self, environ,... | app.py | import webob
import webob.exc
from api import robot_abstract
import logging
class RobotMiddleware(object):
"""WSGI middleware that routes /_wave/ requests to a robot wsgi app."""
def __init__(self, robot_app, main_app):
self._robot_app = robot_app
self._main_app = main_app
def __call__(self, environ,... | 0.621081 | 0.103839 |
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import time
from annoy import AnnoyIndex
from src.data_generator.data_loader import BaseBatch
from src.data_generator.vocabulary import Tokenizer
from src.utils impo... | src/op/vectorize.py | from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import time
from annoy import AnnoyIndex
from src.data_generator.data_loader import BaseBatch
from src.data_generator.vocabulary import Tokenizer
from src.utils impo... | 0.601828 | 0.170681 |
from baseWidget import *
from enum import Enum, auto
import sys
import math
class Display(Enum):
SOLE = auto()
INSOLE = auto()
MOLD = auto()
class insoleMoldExportWidget(baseWidget):
def __init__(self, nextTab = -1):
super(insoleMoldExportWidget, self).__init__(nextTab)
def initCustomUI... | src/insoleMoldExportWidget.py | from baseWidget import *
from enum import Enum, auto
import sys
import math
class Display(Enum):
SOLE = auto()
INSOLE = auto()
MOLD = auto()
class insoleMoldExportWidget(baseWidget):
def __init__(self, nextTab = -1):
super(insoleMoldExportWidget, self).__init__(nextTab)
def initCustomUI... | 0.314787 | 0.153486 |
from django.test.utils import override_settings
from django.test import tag
from django.contrib.gis.geos import Point
from django.core import mail
from django_elasticsearch_dsl.test import ESTestCase
from bluebottle.test.factory_models.accounts import BlueBottleUserFactory
from bluebottle.test.utils import Bluebottl... | bluebottle/activities/tests/test_tasks.py | from django.test.utils import override_settings
from django.test import tag
from django.contrib.gis.geos import Point
from django.core import mail
from django_elasticsearch_dsl.test import ESTestCase
from bluebottle.test.factory_models.accounts import BlueBottleUserFactory
from bluebottle.test.utils import Bluebottl... | 0.518546 | 0.267008 |
import markdown
from markdown.extensions.toc import TocExtension
from django import template
from django.template.defaultfilters import stringfilter
from django.utils.safestring import mark_safe
from django.utils.text import slugify
from django.db.models.aggregates import Count
from ..models import Category, Tag
# ... | blog/templatetags/blog_tags.py | import markdown
from markdown.extensions.toc import TocExtension
from django import template
from django.template.defaultfilters import stringfilter
from django.utils.safestring import mark_safe
from django.utils.text import slugify
from django.db.models.aggregates import Count
from ..models import Category, Tag
# ... | 0.383988 | 0.107484 |
import yaml
TARGET_FILES = set(
["conda.yaml", "MLmodel", "keras_module.txt", "save_format.txt", "model.h5"]
)
def migrate_s3(s3_resource):
s3_files = _find_s3_files(s3_resource, TARGET_FILES)
s3_files["save_format.txt"] = _filter_h5_save_format_files(
s3_resource, s3_files["save_format.txt"], s3... | tests/integration/legacy_migration/migrate_s3.py | import yaml
TARGET_FILES = set(
["conda.yaml", "MLmodel", "keras_module.txt", "save_format.txt", "model.h5"]
)
def migrate_s3(s3_resource):
s3_files = _find_s3_files(s3_resource, TARGET_FILES)
s3_files["save_format.txt"] = _filter_h5_save_format_files(
s3_resource, s3_files["save_format.txt"], s3... | 0.326164 | 0.173009 |
from typing import Dict, Tuple
def read_input():
with open("./input.txt", "r", encoding="utf-8") as f:
return parse_input(f.read())
def parse_input(input_str: str):
ret = {}
for i, line in enumerate(input_str.splitlines(keepends=False)):
for j, char in enumerate(line):
ret[(i... | 2021/day-11/solution.py | from typing import Dict, Tuple
def read_input():
with open("./input.txt", "r", encoding="utf-8") as f:
return parse_input(f.read())
def parse_input(input_str: str):
ret = {}
for i, line in enumerate(input_str.splitlines(keepends=False)):
for j, char in enumerate(line):
ret[(i... | 0.3492 | 0.283258 |
import sys
import argparse
import re
from blessings import Terminal
from lxml import etree
from difflib import unified_diff
version = 2.3
parser = argparse.ArgumentParser()
parser.add_argument("file1", help="XML file 1")
parser.add_argument("file2", help="XML file 2")
parser.add_argument("-a", "--all-context", actio... | docker/build/xdiff.py |
import sys
import argparse
import re
from blessings import Terminal
from lxml import etree
from difflib import unified_diff
version = 2.3
parser = argparse.ArgumentParser()
parser.add_argument("file1", help="XML file 1")
parser.add_argument("file2", help="XML file 2")
parser.add_argument("-a", "--all-context", actio... | 0.166032 | 0.121113 |
import argparse
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from collections import OrderedDict
from workspace_utils import active_session
import json
from PIL import Image
import numpy as np
from torch.autograd import ... | predict.py |
import argparse
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from collections import OrderedDict
from workspace_utils import active_session
import json
from PIL import Image
import numpy as np
from torch.autograd import ... | 0.905473 | 0.364834 |
import os
import sys
import pwd
import grp
import logging
import argparse
import docker
import docker.errors
import dockerpty
from . import dockerutils
_DEFAULT_LOG_FORMAT = "%(name)s : %(threadName)s : %(levelname)s : %(message)s"
logging.basicConfig(
stream=sys.stderr,
format=_DEFAULT_LOG_FORMAT,
level... | src/dockerinside/__init__.py | import os
import sys
import pwd
import grp
import logging
import argparse
import docker
import docker.errors
import dockerpty
from . import dockerutils
_DEFAULT_LOG_FORMAT = "%(name)s : %(threadName)s : %(levelname)s : %(message)s"
logging.basicConfig(
stream=sys.stderr,
format=_DEFAULT_LOG_FORMAT,
level... | 0.141608 | 0.037257 |
from __future__ import annotations
import typing
import asyncio
import collections.abc
from multibar.utils import ignored
from multibar.core import errors
from multibar.core.variants import CharsSnowflake
__all__: typing.Sequence[str] = ("ProgressTools",)
class ProgressTools:
"""``|class|``
Additional me... | multibar/tools.py | from __future__ import annotations
import typing
import asyncio
import collections.abc
from multibar.utils import ignored
from multibar.core import errors
from multibar.core.variants import CharsSnowflake
__all__: typing.Sequence[str] = ("ProgressTools",)
class ProgressTools:
"""``|class|``
Additional me... | 0.883914 | 0.740667 |
import os
import time
from functools import reduce
import docker
import redis
from celery import Celery
from flask_mail import Message
from loguru import logger
from py2neo import Graph
from application.utils.mysql_handler import change_project_status, update_task_process
from application.utils.neo4j_handler import (... | backend/application/server/tasks.py | import os
import time
from functools import reduce
import docker
import redis
from celery import Celery
from flask_mail import Message
from loguru import logger
from py2neo import Graph
from application.utils.mysql_handler import change_project_status, update_task_process
from application.utils.neo4j_handler import (... | 0.3295 | 0.125386 |
from scipy.io import loadmat
from datetime import datetime
import os
def calc_age(taken, dob):
birth = datetime.fromordinal(max(int(dob) - 366, 1))
# assume the photo was taken in the middle of the year
if birth.month < 7:
return taken - birth.year
else:
return taken - birth.year - 1
... | src/utils.py | from scipy.io import loadmat
from datetime import datetime
import os
def calc_age(taken, dob):
birth = datetime.fromordinal(max(int(dob) - 366, 1))
# assume the photo was taken in the middle of the year
if birth.month < 7:
return taken - birth.year
else:
return taken - birth.year - 1
... | 0.295636 | 0.280327 |
#importing modules
import pygame
import math
import sys, os
pygame.init()
#screen variables
screenX = 1000
screenY = 800
screen = pygame.display.set_mode((screenX, screenY))
#variables
mainGame = True
fps = 30
clock = pygame.time.Clock()
images = {}
#game images
images['icon'] = pygame.image.l... | Atoms And Structure/NitrogenAtom/Nitrogen.py |
#importing modules
import pygame
import math
import sys, os
pygame.init()
#screen variables
screenX = 1000
screenY = 800
screen = pygame.display.set_mode((screenX, screenY))
#variables
mainGame = True
fps = 30
clock = pygame.time.Clock()
images = {}
#game images
images['icon'] = pygame.image.l... | 0.276105 | 0.365598 |
from django.db import models
from django.contrib.auth.models import User
from django.core.validators import MaxValueValidator, MinValueValidator
import django.contrib.postgres.fields as pgfields
def assignment_directory_path(instance, filename):
"""Used in FileField option upload_to, to upload the file to
MED... | classgrade/gradapp/models.py | from django.db import models
from django.contrib.auth.models import User
from django.core.validators import MaxValueValidator, MinValueValidator
import django.contrib.postgres.fields as pgfields
def assignment_directory_path(instance, filename):
"""Used in FileField option upload_to, to upload the file to
MED... | 0.674265 | 0.317744 |
from IAuth import IAuth
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.fernet import Fernet
import sys,os
import time
class AuthFer256(IAuth):
def __init__(self,key):
# Put this somewhere safe!
self.key = key
... | Security/AuthFer256.py |
from IAuth import IAuth
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.fernet import Fernet
import sys,os
import time
class AuthFer256(IAuth):
def __init__(self,key):
# Put this somewhere safe!
self.key = key
... | 0.226955 | 0.129843 |
from . import visualization
class Result:
"""
A container for the results of a simulation run.
"""
def __init__(self, results_tuple):
self.__centerline = results_tuple[0]
self.__load_step_iterations = results_tuple[1]
self.__load_steps = results_tuple[2]
self.__residual... | rodigan/common/result.py | from . import visualization
class Result:
"""
A container for the results of a simulation run.
"""
def __init__(self, results_tuple):
self.__centerline = results_tuple[0]
self.__load_step_iterations = results_tuple[1]
self.__load_steps = results_tuple[2]
self.__residual... | 0.879419 | 0.535341 |
import pprint
import re # noqa: F401
import six
class OrderReplacementResponse(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
... | ultracart/models/order_replacement_response.py | import pprint
import re # noqa: F401
import six
class OrderReplacementResponse(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
... | 0.625095 | 0.126785 |
from headers.BeaEnginePython import *
from nose.tools import *
class TestSuite:
def test(self):
# 66 0F 7C /r
# HADDPD xmm1, xmm2/m128
Buffer = bytes.fromhex('660f7c9000000000')
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opco... | src/third_party/beaengine/tests/0f7c.py |
from headers.BeaEnginePython import *
from nose.tools import *
class TestSuite:
def test(self):
# 66 0F 7C /r
# HADDPD xmm1, xmm2/m128
Buffer = bytes.fromhex('660f7c9000000000')
myDisasm = Disasm(Buffer)
myDisasm.read()
assert_equal(myDisasm.infos.Instruction.Opco... | 0.702122 | 0.380356 |
from pathlib import Path
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import ScriptedLoadableModule, ScriptedLoadableModuleWidget
from slicer.util import VTKObservationMixin
from EPISURGBase import EPISURGBaseLogic # pylint: disable=import-error
EPISURG_URL = 'https://s3-eu-west-1.amazonaws.com/ps... | EPISURGBrowser/EPISURGBrowser.py | from pathlib import Path
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import ScriptedLoadableModule, ScriptedLoadableModuleWidget
from slicer.util import VTKObservationMixin
from EPISURGBase import EPISURGBaseLogic # pylint: disable=import-error
EPISURG_URL = 'https://s3-eu-west-1.amazonaws.com/ps... | 0.714329 | 0.318724 |
from typing import Dict, Any, List
from cobot_core import SelectingStrategy
from cobot_core.offensive_speech_classifier import OffensiveSpeechClassifier
import example.sensitive_response_generator.utils as sensitive_response_utils
from example.dialogues.StateTransitionPrompts import StateTransitionPrompts
from exampl... | ap-taskbot-snippets/automata_selecting_strategy.py | from typing import Dict, Any, List
from cobot_core import SelectingStrategy
from cobot_core.offensive_speech_classifier import OffensiveSpeechClassifier
import example.sensitive_response_generator.utils as sensitive_response_utils
from example.dialogues.StateTransitionPrompts import StateTransitionPrompts
from exampl... | 0.707708 | 0.262987 |
import argparse
import sys
import inspect
from ingest_validation_tools.error_report import ErrorReport
from ingest_validation_tools.cli_utils import ShowUsageException, exit_codes
from ingest_validation_tools.schema_loader import PreflightError
from ingest_validation_tools.validation_utils import (
get_tsv_errors... | src/validate_tsv.py |
import argparse
import sys
import inspect
from ingest_validation_tools.error_report import ErrorReport
from ingest_validation_tools.cli_utils import ShowUsageException, exit_codes
from ingest_validation_tools.schema_loader import PreflightError
from ingest_validation_tools.validation_utils import (
get_tsv_errors... | 0.258232 | 0.153454 |