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 __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('great_international', '0026_auto_20190528_0826'),
]
operations = [
migrations.AlterField(
model_name='capitalinvestopportunitypage',
... | great_international/migrations/0027_auto_20190529_1033.py | from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('great_international', '0026_auto_20190528_0826'),
]
operations = [
migrations.AlterField(
model_name='capitalinvestopportunitypage',
... | 0.675229 | 0.160529 |
from apps.oclib.client import Redis, Mongo
import msgpack
import binascii
R2M_SET = 'r2m_set'
class Storage(object):
def get(self, id):
raise NotImplementedError
def set(self, obj):
raise NotImplementedError
class StorageRedis(Storage):
def __init__(self, config):
... | apps/oclib/storage.py | from apps.oclib.client import Redis, Mongo
import msgpack
import binascii
R2M_SET = 'r2m_set'
class Storage(object):
def get(self, id):
raise NotImplementedError
def set(self, obj):
raise NotImplementedError
class StorageRedis(Storage):
def __init__(self, config):
... | 0.533397 | 0.079782 |
from __future__ import print_function
import time
import logging
import pprint
import math
import os
import re
import cPickle as pickle
import sys
import yaml
import copy
from collections import OrderedDict
import numpy
from lvsr.algorithms import BurnIn
from blocks_extras.extensions.embed_ipython import EmbedIPython
... | lvsr/main.py | from __future__ import print_function
import time
import logging
import pprint
import math
import os
import re
import cPickle as pickle
import sys
import yaml
import copy
from collections import OrderedDict
import numpy
from lvsr.algorithms import BurnIn
from blocks_extras.extensions.embed_ipython import EmbedIPython
... | 0.561455 | 0.129046 |
from xml.etree import ElementTree
from .exceptions import RetsException
class SearchResultSet(object):
def GetReplyCode(self):
pass
def GetReplyText(self):
pass
def GetCount(self):
pass
def GetColumns(self):
pass
def GetData(self):
pass
class Compact... | pylibrets/rets_parser.py |
from xml.etree import ElementTree
from .exceptions import RetsException
class SearchResultSet(object):
def GetReplyCode(self):
pass
def GetReplyText(self):
pass
def GetCount(self):
pass
def GetColumns(self):
pass
def GetData(self):
pass
class Compact... | 0.31563 | 0.165627 |
import os
import json
import sys
import serial
import logging
from os.path import join, dirname
from dotenv import load_dotenv
from watson_developer_cloud import SpeechToTextV1 as SpeechToText
from watson_developer_cloud import AlchemyLanguageV1 as AlchemyLanguage
logger = logging.getLogger('candy_logger')
logger.setL... | speech_sentiment_local.py | import os
import json
import sys
import serial
import logging
from os.path import join, dirname
from dotenv import load_dotenv
from watson_developer_cloud import SpeechToTextV1 as SpeechToText
from watson_developer_cloud import AlchemyLanguageV1 as AlchemyLanguage
logger = logging.getLogger('candy_logger')
logger.setL... | 0.209712 | 0.055952 |
import numpy as np
from numpy import where
from sklearn.datasets import make_classification
def train(train_data, learn_rate):
# TODO:没有校验输入数据，也没有确定训练集是线程可分的
train_array = np.array(train_data)
data_len = len(train_data)
dimension = len(train_data[0]) - 1
has_error = True
w = np.zeros(dimension... | pla/basic_pla.py | import numpy as np
from numpy import where
from sklearn.datasets import make_classification
def train(train_data, learn_rate):
# TODO:没有校验输入数据，也没有确定训练集是线程可分的
train_array = np.array(train_data)
data_len = len(train_data)
dimension = len(train_data[0]) - 1
has_error = True
w = np.zeros(dimension... | 0.195364 | 0.577734 |
import click
import logging
import os
import tarfile
import tempfile
import yaml
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as anim
from matplotlib.colors import Normalize
from datetime import datetime, timedelta
from smoke.box.FeatureTimeSpaceGrid import load_FeatureTimeSpaceGrid
... | tests/clean/test_cleaners_manually.py | import click
import logging
import os
import tarfile
import tempfile
import yaml
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as anim
from matplotlib.colors import Normalize
from datetime import datetime, timedelta
from smoke.box.FeatureTimeSpaceGrid import load_FeatureTimeSpaceGrid
... | 0.518546 | 0.333951 |
from flask import Flask, render_template, request, redirect, url_for, Request
import shelve
from random import choice
from string import ascii_lowercase
import datetime
from flask_wtf import FlaskForm
from wtforms import SubmitField, StringField
from wtforms.validators import Length, URL
from os import urandom
app = ... | app.py |
from flask import Flask, render_template, request, redirect, url_for, Request
import shelve
from random import choice
from string import ascii_lowercase
import datetime
from flask_wtf import FlaskForm
from wtforms import SubmitField, StringField
from wtforms.validators import Length, URL
from os import urandom
app = ... | 0.388966 | 0.066418 |
import tempfile
from absl import flags
from absl.testing import absltest
from absl.testing import parameterized
import jax
import numpy as np
from pyscf.dft import libxc
import pyscf.gto
from pyscf.lib import parameters
from symbolic_functionals.syfes.xc import lda
jax.config.update('jax_enable_x64', True)
class XC... | symbolic_functionals/syfes/xc/lda_test.py | import tempfile
from absl import flags
from absl.testing import absltest
from absl.testing import parameterized
import jax
import numpy as np
from pyscf.dft import libxc
import pyscf.gto
from pyscf.lib import parameters
from symbolic_functionals.syfes.xc import lda
jax.config.update('jax_enable_x64', True)
class XC... | 0.446012 | 0.532486 |
from datetime import datetime
import pytest
from tests.testlibraries.instance_resource import InstanceResource
from zaimcsvconverter.inputcsvformats.gold_point_card_plus import (
GoldPointCardPlusRow,
GoldPointCardPlusRowData,
GoldPointCardPlusRowFactory,
)
from zaimcsvconverter.models import Store
clas... | tests/inputcsvformats/test_gold_point_card_plus.py | from datetime import datetime
import pytest
from tests.testlibraries.instance_resource import InstanceResource
from zaimcsvconverter.inputcsvformats.gold_point_card_plus import (
GoldPointCardPlusRow,
GoldPointCardPlusRowData,
GoldPointCardPlusRowFactory,
)
from zaimcsvconverter.models import Store
clas... | 0.738009 | 0.32158 |
import sys
import urllib.request
import click
import pathlib
from dpybrew import __version__
from .extensions import FileExtension, PyExtension
import yaml
from git import Git
GIST_URL = "https://gist.githubusercontent.com/sizumita/" \
"19ec79e3ad0ecfae89cca665ddf717e1/raw/b04f8b794ca61cc9701ac8edee37edc52b9... | dpybrew/cli.py | import sys
import urllib.request
import click
import pathlib
from dpybrew import __version__
from .extensions import FileExtension, PyExtension
import yaml
from git import Git
GIST_URL = "https://gist.githubusercontent.com/sizumita/" \
"19ec79e3ad0ecfae89cca665ddf717e1/raw/b04f8b794ca61cc9701ac8edee37edc52b9... | 0.288369 | 0.08698 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import warnings
class LR():
def __init__(self,X,y,alpha=0.01,lambd=0,polyfit=True,degree=3,FeatureNormalize=False):
warnings.warn("Note: In current version, shape of X is (nf, n) and shape of y is (n,1), where nf i... | spkit/ml/LogisticRegression.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import warnings
class LR():
def __init__(self,X,y,alpha=0.01,lambd=0,polyfit=True,degree=3,FeatureNormalize=False):
warnings.warn("Note: In current version, shape of X is (nf, n) and shape of y is (n,1), where nf i... | 0.286269 | 0.533823 |
import pytest
import time
import random
import string
from nwebsocket import WebSocket
from wsproto.events import (
Ping,
CloseConnection,
)
from .server import echo_server
@pytest.fixture(scope='session')
def server():
server = echo_server(8001)[1]
yield server
def random_string(length):
r... | tests/test_main.py |
import pytest
import time
import random
import string
from nwebsocket import WebSocket
from wsproto.events import (
Ping,
CloseConnection,
)
from .server import echo_server
@pytest.fixture(scope='session')
def server():
server = echo_server(8001)[1]
yield server
def random_string(length):
r... | 0.367043 | 0.329715 |
import random
from math import floor
import scriptcontext as sc
import ghpythonlib.components as ghcomp
import ghpythonlib.treehelpers as th
class BeadyRing_env:
def __init__(self):
self._carrier_color = 127.5
self._house_color = 0
self._street_color = 255
self._cell_si... | BeadyRing_env.py | import random
from math import floor
import scriptcontext as sc
import ghpythonlib.components as ghcomp
import ghpythonlib.treehelpers as th
class BeadyRing_env:
def __init__(self):
self._carrier_color = 127.5
self._house_color = 0
self._street_color = 255
self._cell_si... | 0.362518 | 0.197522 |
from .connections.mqtt_connection import MQTTConnection
from .messengers.one_way_messenger import OneWayMessenger
from .handlers.recieve_respond_handler import RecieveRespondHandler
from typing import Callable
from datetime import datetime
class CloudClient:
def __init__(self, connection: MQTTConnection, telemet... | inbm/cloudadapter-agent/cloudadapter/cloud/client/cloud_client.py | from .connections.mqtt_connection import MQTTConnection
from .messengers.one_way_messenger import OneWayMessenger
from .handlers.recieve_respond_handler import RecieveRespondHandler
from typing import Callable
from datetime import datetime
class CloudClient:
def __init__(self, connection: MQTTConnection, telemet... | 0.894542 | 0.119177 |
from scapy.all import *
import sys
import configparser
config=configparser.ConfigParser()
config.read('config.conf')
def listofKeys():
keys = []
for key in config['IP-MAC']:
keys.append(key)
return keys
def listofValues():
values = []
for item in config['IP-MAC']:
values.append(con... | main.py | from scapy.all import *
import sys
import configparser
config=configparser.ConfigParser()
config.read('config.conf')
def listofKeys():
keys = []
for key in config['IP-MAC']:
keys.append(key)
return keys
def listofValues():
values = []
for item in config['IP-MAC']:
values.append(con... | 0.064058 | 0.10325 |
class DMSException(Exception):
def __init__(self, message, *args, **kwargs):
self.message = message
class FolderDoesNotExistError(DMSException):
pass
class DocumentExistsError(DMSException):
pass
class DocumentDoesNotExistError(DMSException):
pass
class DocumentConflictException(DMSExcep... | drc_cmis/utils/exceptions.py | class DMSException(Exception):
def __init__(self, message, *args, **kwargs):
self.message = message
class FolderDoesNotExistError(DMSException):
pass
class DocumentExistsError(DMSException):
pass
class DocumentDoesNotExistError(DMSException):
pass
class DocumentConflictException(DMSExcep... | 0.668447 | 0.151247 |
import requests
import json
import datetime
import os
import embeds
import redmine_api
import discord
logger = embeds.Logger("kourage-operations")
get_json = lambda _url, _hdr: requests.get(_url, headers=_hdr)
webpage = "http://sumyak.m.redmine.org/"
header = {
'X-Redmine-API-Key': os.environ.get('... | src/function.py | import requests
import json
import datetime
import os
import embeds
import redmine_api
import discord
logger = embeds.Logger("kourage-operations")
get_json = lambda _url, _hdr: requests.get(_url, headers=_hdr)
webpage = "http://sumyak.m.redmine.org/"
header = {
'X-Redmine-API-Key': os.environ.get('... | 0.158272 | 0.050284 |
import os
from enum import Enum
from typing import NewType, Union
import pytest
from pydantic.utils import (
ValueItems,
display_as_type,
import_string,
is_new_type,
lenient_issubclass,
make_dsn,
new_type_supertype,
truncate,
validate_email,
)
try:
import email_validator
excep... | tests/test_utils.py | import os
from enum import Enum
from typing import NewType, Union
import pytest
from pydantic.utils import (
ValueItems,
display_as_type,
import_string,
is_new_type,
lenient_issubclass,
make_dsn,
new_type_supertype,
truncate,
validate_email,
)
try:
import email_validator
excep... | 0.501465 | 0.266861 |
import os
import pandas as pd
from bokeh.plotting import figure
import torch
import torch.nn as nn
import torch.utils.data
from torch.nn.utils import weight_norm
from torch.nn import ReLU
import numpy as np
import streamlit as st
import yaml
import pickle
from pathlib import Path, PurePath
import argparse
from datetime... | python_files/server/train_models/nn_train.py | import os
import pandas as pd
from bokeh.plotting import figure
import torch
import torch.nn as nn
import torch.utils.data
from torch.nn.utils import weight_norm
from torch.nn import ReLU
import numpy as np
import streamlit as st
import yaml
import pickle
from pathlib import Path, PurePath
import argparse
from datetime... | 0.837587 | 0.416144 |
import pytest
import six
import ckan.model as model
import logging as logging
import ckan.logic as logic
from ckanext.hdx_dataviz.tests import USER, SYSADMIN, LOCATION
from ckan.lib.helpers import url_for
_get_action = logic.get_action
NotAuthorized = logic.NotAuthorized
log = logging.getLogger(__name__)
page_elnin... | ckanext-hdx_pages/ckanext/hdx_pages/tests/test_page_new_controller.py | import pytest
import six
import ckan.model as model
import logging as logging
import ckan.logic as logic
from ckanext.hdx_dataviz.tests import USER, SYSADMIN, LOCATION
from ckan.lib.helpers import url_for
_get_action = logic.get_action
NotAuthorized = logic.NotAuthorized
log = logging.getLogger(__name__)
page_elnin... | 0.35768 | 0.290364 |
import logging
import os
from os import PathLike
import re
from typing import Dict, List, Set, Type, Optional, Union
import numpy
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import Params
from allennlp.models import Model
from allennlp.common.registrable import Regis... | dl4nlp_pos_tagging/models/meta_wrapper.py | import logging
import os
from os import PathLike
import re
from typing import Dict, List, Set, Type, Optional, Union
import numpy
import torch
from allennlp.common.checks import ConfigurationError
from allennlp.common.params import Params
from allennlp.models import Model
from allennlp.common.registrable import Regis... | 0.880361 | 0.312003 |
# Copyright (c) 2017 <NAME>
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, su... | EnergyRatio.py |
# Copyright (c) 2017 <NAME>
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, su... | 0.547343 | 0.156073 |
from __future__ import annotations
import traceback, signal as _signal
from threading import Event
from time import monotonic, sleep
from typing import Callable, Dict, Any, Iterator, Iterable, Optional, Union, Type
# Third party modules
# Local modules
# Program
class KillSignal(Exception): pass
class SignalIterator(... | fsSignal/fsSignal.py | from __future__ import annotations
import traceback, signal as _signal
from threading import Event
from time import monotonic, sleep
from typing import Callable, Dict, Any, Iterator, Iterable, Optional, Union, Type
# Third party modules
# Local modules
# Program
class KillSignal(Exception): pass
class SignalIterator(... | 0.673192 | 0.186891 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'EsIndexSpec',
'EsIndexSpecBindingFrom',
'EsIndexSpecEsURIComposed',
'EsIndexStatus',
]
@pulumi.output_type
class EsInde... | operators/esindex-operator/python/pulumi_pulumi_kubernetes_crds_operators_esindex_operator/ibmcloud/v1alpha1/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'EsIndexSpec',
'EsIndexSpecBindingFrom',
'EsIndexSpecEsURIComposed',
'EsIndexStatus',
]
@pulumi.output_type
class EsInde... | 0.811452 | 0.100348 |
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats.stats import pearsonr
def average_data(data):
num_repeats = len(data[:, 0])
num_x_vals = len(data[0, :])
y_av = np.zeros(num_x_vals)
y_std_error = np.zeros(num_x_vals)
for x in range(num_x_vals):
y_av[x] = np.mean(data[:,... | Max2SAT_graphs/runtime_pearson_r_plot_big.py | import matplotlib.pyplot as plt
import numpy as np
from scipy.stats.stats import pearsonr
def average_data(data):
num_repeats = len(data[:, 0])
num_x_vals = len(data[0, :])
y_av = np.zeros(num_x_vals)
y_std_error = np.zeros(num_x_vals)
for x in range(num_x_vals):
y_av[x] = np.mean(data[:,... | 0.394434 | 0.610715 |
from pprint import pprint
from gtm_base import GTMBase
class GTMScanner(GTMBase):
def __init__(self, service):
super().__init__(service)
def print_account_list(self, account_list):
for num, account in enumerate(account_list["account"]):
print(num, "🤖 ACCOUNT")
print("�... | project/gtm_scanner.py | from pprint import pprint
from gtm_base import GTMBase
class GTMScanner(GTMBase):
def __init__(self, service):
super().__init__(service)
def print_account_list(self, account_list):
for num, account in enumerate(account_list["account"]):
print(num, "🤖 ACCOUNT")
print("�... | 0.277669 | 0.079353 |
import logging
import rethinkdb as r
from datetime import datetime as dt
import emoji
import time
from tornado.gen import coroutine, Return
from relay_config import cfg
DB_NAME = cfg.db_name
WALKER_TABLE = cfg.walker_table
TEAM_TABLE = cfg.team_table
MIN_LAP_TIME = cfg.min_lap_time
MICROS_PER_SEC = 1000000.0
class R... | relay_db.py | import logging
import rethinkdb as r
from datetime import datetime as dt
import emoji
import time
from tornado.gen import coroutine, Return
from relay_config import cfg
DB_NAME = cfg.db_name
WALKER_TABLE = cfg.walker_table
TEAM_TABLE = cfg.team_table
MIN_LAP_TIME = cfg.min_lap_time
MICROS_PER_SEC = 1000000.0
class R... | 0.161419 | 0.100879 |
import datetime
import numpy as np
import os
import pandas as pd
import tempfile
import tarfile
from zipfile import ZipFile
station_zip = 'wbanmasterlist.psv.zip'
climate_tar = '2006_daily.tar.gz'
assert station_zip in os.listdir(), station_zip
assert climate_tar in os.listdir(), climate_tar
with tempfile.TemporaryD... | data/noaa/clean.py | import datetime
import numpy as np
import os
import pandas as pd
import tempfile
import tarfile
from zipfile import ZipFile
station_zip = 'wbanmasterlist.psv.zip'
climate_tar = '2006_daily.tar.gz'
assert station_zip in os.listdir(), station_zip
assert climate_tar in os.listdir(), climate_tar
with tempfile.TemporaryD... | 0.328206 | 0.363816 |
from django.db import models
from django.core.validators import MaxValueValidator, MinValueValidator
from datetime import datetime
from django.utils.timezone import now
from users.models import Base, Employee
CLASSIFICATION = (("Verde", "Verde"), ("Amarelo", "Amarelo"),
("Vermelho", "Vermelho"), ("... | health/models.py | from django.db import models
from django.core.validators import MaxValueValidator, MinValueValidator
from datetime import datetime
from django.utils.timezone import now
from users.models import Base, Employee
CLASSIFICATION = (("Verde", "Verde"), ("Amarelo", "Amarelo"),
("Vermelho", "Vermelho"), ("... | 0.510496 | 0.190272 |
from typing import List, Optional
from openclean.data.types import Scalar
from openclean.function.token.base import Tokenizer, Token
class NGrams(Tokenizer):
"""Split values into lists of n-grams. n-grams are substrings of length n.
Provides the option to pad stings with special characters to the left and
... | openclean/function/token/ngram.py | from typing import List, Optional
from openclean.data.types import Scalar
from openclean.function.token.base import Tokenizer, Token
class NGrams(Tokenizer):
"""Split values into lists of n-grams. n-grams are substrings of length n.
Provides the option to pad stings with special characters to the left and
... | 0.955267 | 0.583559 |
from __future__ import division, with_statement
from __future__ import print_function
import numpy
import numpy as np
import warnings
from numpy import nan, pi
import tables as PT
import tables.flavor
tables.flavor.restrict_flavors(keep=["numpy"]) # ensure pytables 2.x
import tables
import contextlib
import sys, os
f... | flydra_analysis/flydra_analysis/a2/plot_kalman_2d.py | from __future__ import division, with_statement
from __future__ import print_function
import numpy
import numpy as np
import warnings
from numpy import nan, pi
import tables as PT
import tables.flavor
tables.flavor.restrict_flavors(keep=["numpy"]) # ensure pytables 2.x
import tables
import contextlib
import sys, os
f... | 0.598782 | 0.37668 |
import socket
import threading
import time
from message import Message
import TorzelaUtils as TU
class MiddleServer:
# Set the next server's IP and listening port
# also set listening port for this middle server
def __init__(self, nextServerIP, nextServerPort, localPort):
self.nextServerIP = nextServer... | src/MiddleServer.py |
import socket
import threading
import time
from message import Message
import TorzelaUtils as TU
class MiddleServer:
# Set the next server's IP and listening port
# also set listening port for this middle server
def __init__(self, nextServerIP, nextServerPort, localPort):
self.nextServerIP = nextServer... | 0.264263 | 0.098296 |
from django.conf.urls import url
from account.views import AccountProjectViews
from django.views.decorators.cache import cache_page
urlpatterns = [
# project info
url(r'^project_create$', AccountProjectViews.as_view({"post": "project_create"}), name='project_create'),
url(r'^project_update$', AccountProje... | app/account/urls_project.py | from django.conf.urls import url
from account.views import AccountProjectViews
from django.views.decorators.cache import cache_page
urlpatterns = [
# project info
url(r'^project_create$', AccountProjectViews.as_view({"post": "project_create"}), name='project_create'),
url(r'^project_update$', AccountProje... | 0.330687 | 0.086401 |
from enum import Enum, auto
from ghidra_types import *
class VarKind(Enum):
UNSIGNED = auto()
SIGNED = auto()
FLOATING = auto()
class CoreHelper:
def __init__(self, program: Program):
self.program = program
self.register_offset_and_size_to_name = {
(rb.offset, r.size): r.... | lifters/core_helper.py | from enum import Enum, auto
from ghidra_types import *
class VarKind(Enum):
UNSIGNED = auto()
SIGNED = auto()
FLOATING = auto()
class CoreHelper:
def __init__(self, program: Program):
self.program = program
self.register_offset_and_size_to_name = {
(rb.offset, r.size): r.... | 0.627267 | 0.262069 |
from __future__ import print_function, division
import sys
import argparse
# matplotlib.use('Agg')
import torch.nn as nn
import torch.optim as optim
from model.eraft import ERAFT
from torch.utils.data import DataLoader
from torch.cuda.amp import GradScaler
from torch.utils.tensorboard import SummaryWriter
from loader.... | train_MVSEC.py | from __future__ import print_function, division
import sys
import argparse
# matplotlib.use('Agg')
import torch.nn as nn
import torch.optim as optim
from model.eraft import ERAFT
from torch.utils.data import DataLoader
from torch.cuda.amp import GradScaler
from torch.utils.tensorboard import SummaryWriter
from loader.... | 0.617743 | 0.343177 |
from abc import ABC, abstractmethod
import typing
from threading import Lock, Event, RLock
from multiprocessing import Value, Lock as MpLock
from .exceptions import SequenceNotFound, ReadCursorBlock
from .ring_buffer import SimpleFactory, RingBufferInternal, RingFactory
class DisruptorMethods(ABC):
@abstractmetho... | pyring/disruptor.py | from abc import ABC, abstractmethod
import typing
from threading import Lock, Event, RLock
from multiprocessing import Value, Lock as MpLock
from .exceptions import SequenceNotFound, ReadCursorBlock
from .ring_buffer import SimpleFactory, RingBufferInternal, RingFactory
class DisruptorMethods(ABC):
@abstractmetho... | 0.773302 | 0.12424 |
import angr
possibleJmps = [
{
"name": "jz",
"must": [0x40],
"not": [0x1, 0],
"priority": 1
},
{
"name": "jo",
"must": [0x800],
"not": [0],
"priority": 1
},
{
"name": "jno",
"must": [0x40],
"not": [0x800],
... | x86devirt_jmp.py | import angr
possibleJmps = [
{
"name": "jz",
"must": [0x40],
"not": [0x1, 0],
"priority": 1
},
{
"name": "jo",
"must": [0x800],
"not": [0],
"priority": 1
},
{
"name": "jno",
"must": [0x40],
"not": [0x800],
... | 0.301465 | 0.600013 |
# REQUIRED MODULES
import sys
# MODULE DEFINITIONS
class Solution:
"""
Greedy iteration over all array elements.
Time complexity: O(n)
- Iterate over all elements of array
Space complexity: O(1)
- Update constant number of pointers
"""
def find_max_subarr_sum(self,... | 0053_maximum_subarray/python_source.py | # REQUIRED MODULES
import sys
# MODULE DEFINITIONS
class Solution:
"""
Greedy iteration over all array elements.
Time complexity: O(n)
- Iterate over all elements of array
Space complexity: O(1)
- Update constant number of pointers
"""
def find_max_subarr_sum(self,... | 0.577257 | 0.535524 |
from collections import OrderedDict
from datetime import datetime
import pytest
import vcr
try: # Python 2.7
# requests's ``json()`` function returns strings as unicode (as per the
# JSON spec). In 2.7, those are of type unicode rather than str. basestring
# was created to help with that.
# https://... | tests/test_pigskin.py | from collections import OrderedDict
from datetime import datetime
import pytest
import vcr
try: # Python 2.7
# requests's ``json()`` function returns strings as unicode (as per the
# JSON spec). In 2.7, those are of type unicode rather than str. basestring
# was created to help with that.
# https://... | 0.376623 | 0.473657 |
import base64
import logging
import os
from dataclasses import dataclass, field
from datetime import datetime
from functools import lru_cache
from typing import Any, Dict, Generator, Union
import dateutil.parser
import dateutil.tz
from google.auth.exceptions import RefreshError
from google.auth.transport.requests impo... | ltd_invoice/gmail.py | import base64
import logging
import os
from dataclasses import dataclass, field
from datetime import datetime
from functools import lru_cache
from typing import Any, Dict, Generator, Union
import dateutil.parser
import dateutil.tz
from google.auth.exceptions import RefreshError
from google.auth.transport.requests impo... | 0.586286 | 0.099295 |
import json
import os
import bson.json_util
import flask
from bson.objectid import ObjectId
from flask_pymongo.wrappers import Collection
from pymongo.results import UpdateResult, InsertOneResult, DeleteResult
from .forms import SchemaForm
app = flask.current_app
blueprint = flask.Blueprint('schema', __name__, url_p... | owast/blueprints/schema/views.py | import json
import os
import bson.json_util
import flask
from bson.objectid import ObjectId
from flask_pymongo.wrappers import Collection
from pymongo.results import UpdateResult, InsertOneResult, DeleteResult
from .forms import SchemaForm
app = flask.current_app
blueprint = flask.Blueprint('schema', __name__, url_p... | 0.408277 | 0.08318 |
import sys
import copy
def loadFile( name ):
storage = []
with open(name) as file:
for line in file:
l = []
elements = line.replace("\n", "").split()
for element in elements:
if not element.isdigit():
print("ERROR")
... | cviceni06/biggest.py | import sys
import copy
def loadFile( name ):
storage = []
with open(name) as file:
for line in file:
l = []
elements = line.replace("\n", "").split()
for element in elements:
if not element.isdigit():
print("ERROR")
... | 0.119011 | 0.346514 |
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.utils import get_fetch_values
from frappe.model.mapper import get_mapped_doc
from frappe.utils import cstr, flt, getdate, comma_and, cint, nowdate, add_days
import datetime
from frappe import sendmail
@frappe.whitelist()
... | tools_box/controllers/api.py |
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.utils import get_fetch_values
from frappe.model.mapper import get_mapped_doc
from frappe.utils import cstr, flt, getdate, comma_and, cint, nowdate, add_days
import datetime
from frappe import sendmail
@frappe.whitelist()
... | 0.450843 | 0.142291 |
import logging
from math import ceil, pi
import numpy as np
import scipy.io
from scipy.linalg import solve
from andes.io.txt import dump_data
from andes.plot import set_latex, set_style
from andes.routines.base import BaseRoutine
from andes.shared import div, matrix, plt, sparse, spdiag, spmatrix
from andes.utils.mis... | andes/routines/eig.py | import logging
from math import ceil, pi
import numpy as np
import scipy.io
from scipy.linalg import solve
from andes.io.txt import dump_data
from andes.plot import set_latex, set_style
from andes.routines.base import BaseRoutine
from andes.shared import div, matrix, plt, sparse, spdiag, spmatrix
from andes.utils.mis... | 0.855625 | 0.546012 |
"""Import image command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import abc
import enum
import os.path
import string
import uuid
from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.api_lib.compute import daisy_utils
fro... | lib/surface/compute/images/import.py | """Import image command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import abc
import enum
import os.path
import string
import uuid
from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.api_lib.compute import daisy_utils
fro... | 0.586996 | 0.095729 |
def data_generator():
from os import chdir
from os import getcwd
from csv import reader
default = getcwd()
chdir('data')
data = dict()
with open('data.csv', 'rb') as f: # 1st column: name, 2nd column: value
csv_reader = reader(f, dialect = 'excel')
for row in csv_reader:
data[row[0]] = float(row[1])
... | Li_and_DeCarolis_APEN_version/Preprocessor.py | def data_generator():
from os import chdir
from os import getcwd
from csv import reader
default = getcwd()
chdir('data')
data = dict()
with open('data.csv', 'rb') as f: # 1st column: name, 2nd column: value
csv_reader = reader(f, dialect = 'excel')
for row in csv_reader:
data[row[0]] = float(row[1])
... | 0.128881 | 0.265404 |
import json
import numpy as np
import pkg_resources
import random
import re
import scipy.misc as m
import sys
from mnist import MNIST
from optparse import OptionParser
ORIG_SIZE = 28;
NEW_SIZE = 28;
NUM_PARTITIONS = 10;
#Total number of available samples, can set to less if we don't need all of them
#TRAINING_EXAMPL... | fuzzi-gen/fuzzi/processing/mnist.py | import json
import numpy as np
import pkg_resources
import random
import re
import scipy.misc as m
import sys
from mnist import MNIST
from optparse import OptionParser
ORIG_SIZE = 28;
NEW_SIZE = 28;
NUM_PARTITIONS = 10;
#Total number of available samples, can set to less if we don't need all of them
#TRAINING_EXAMPL... | 0.334155 | 0.464051 |
from argparse import ArgumentParser
from github import Github
from tqdm import tqdm
import csv
import dependency_graph
def parse_args():
"""
Parse command line arguments.
"""
parser = ArgumentParser(description=__doc__)
parser.add_argument("--token", default="", type=str, help="Host address.")
... | datasets/github/scraper/scraper.py | from argparse import ArgumentParser
from github import Github
from tqdm import tqdm
import csv
import dependency_graph
def parse_args():
"""
Parse command line arguments.
"""
parser = ArgumentParser(description=__doc__)
parser.add_argument("--token", default="", type=str, help="Host address.")
... | 0.430506 | 0.075007 |
import numpy as np
from datashader.composite import add, saturate, over, source
src = np.array([[0x00000000, 0x00ffffff, 0xffffffff],
[0x7dff0000, 0x7d00ff00, 0x7d0000ff],
[0xffff0000, 0xff000000, 0x3a3b3c3d]], dtype='uint32')
clear = np.uint32(0)
clear_white = np.uint32(0x00ffffff)
w... | datashader/tests/test_composite.py | import numpy as np
from datashader.composite import add, saturate, over, source
src = np.array([[0x00000000, 0x00ffffff, 0xffffffff],
[0x7dff0000, 0x7d00ff00, 0x7d0000ff],
[0xffff0000, 0xff000000, 0x3a3b3c3d]], dtype='uint32')
clear = np.uint32(0)
clear_white = np.uint32(0x00ffffff)
w... | 0.438785 | 0.595287 |
import requests,sys,re
requests.packages.urllib3.disable_warnings()
print("""
\033[92m\033[1m____ ____ ___ ____
| _ \\| _ \\ / _ \\ / ___| ___ __ _ _ __ _ __ ___ _ __
| |_) | |_) | | | | \\___ \\ / __/ _` | '_ \\| '_ \\ / _ \\ '__|
| _ <| __/| |_| | ___) | (_| (... | rpo.py |
import requests,sys,re
requests.packages.urllib3.disable_warnings()
print("""
\033[92m\033[1m____ ____ ___ ____
| _ \\| _ \\ / _ \\ / ___| ___ __ _ _ __ _ __ ___ _ __
| |_) | |_) | | | | \\___ \\ / __/ _` | '_ \\| '_ \\ / _ \\ '__|
| _ <| __/| |_| | ___) | (_| (... | 0.119537 | 0.13569 |
from pydantic.validators import bytes_validator # noqa: F401
from .. import fhirtypes # noqa: F401
from .. import patient
def impl_patient_1(inst):
assert inst.active is True
assert inst.address[0].city == "Metropolis"
assert inst.address[0].country == "USA"
assert inst.address[0].line[0] == "100 M... | fhir/resources/tests/test_patient.py | from pydantic.validators import bytes_validator # noqa: F401
from .. import fhirtypes # noqa: F401
from .. import patient
def impl_patient_1(inst):
assert inst.active is True
assert inst.address[0].city == "Metropolis"
assert inst.address[0].country == "USA"
assert inst.address[0].line[0] == "100 M... | 0.688468 | 0.550487 |
import json
import logging
from flask import request
from muapi import auth, db
from muapi.dbConnector import dbConnector
from muapi.Module import Module
from muapi.user import User, UserException
from muapi.role import Role
log = logging.getLogger(__name__)
user_db = dbConnector()
Users = Module('users', __name__... | muapi/modules/users.py | import json
import logging
from flask import request
from muapi import auth, db
from muapi.dbConnector import dbConnector
from muapi.Module import Module
from muapi.user import User, UserException
from muapi.role import Role
log = logging.getLogger(__name__)
user_db = dbConnector()
Users = Module('users', __name__... | 0.205296 | 0.078148 |
import os
import os.path as op
import mne
import numpy as np
import pickle
from brain_utils import get_multiple_indices
import config as cfg
resolution = 3
spacing = "ico%d" % resolution
dataset_name = "camcan"
save_dir = "~/data/%s/" % dataset_name
save_dir = op.expanduser(save_dir)
subjects_dir = cfg.get_subjects... | meg-preprocessing/pick_labels.py | import os
import os.path as op
import mne
import numpy as np
import pickle
from brain_utils import get_multiple_indices
import config as cfg
resolution = 3
spacing = "ico%d" % resolution
dataset_name = "camcan"
save_dir = "~/data/%s/" % dataset_name
save_dir = op.expanduser(save_dir)
subjects_dir = cfg.get_subjects... | 0.247987 | 0.187207 |
from .eq_type import *
from dataclasses import dataclass
from functools import wraps
from typing import Any, Callable, Dict, Optional, Set, Tuple, TypeVar
__all__ = ['fix', 'EqType']
Args = Tuple[Any, ...]
Key = Tuple[int, ...]
Val = TypeVar('Val')
@dataclass
class Parameters:
visited: Set[Key]
changed: ... | derpgen/utility/fix.py | from .eq_type import *
from dataclasses import dataclass
from functools import wraps
from typing import Any, Callable, Dict, Optional, Set, Tuple, TypeVar
__all__ = ['fix', 'EqType']
Args = Tuple[Any, ...]
Key = Tuple[int, ...]
Val = TypeVar('Val')
@dataclass
class Parameters:
visited: Set[Key]
changed: ... | 0.834542 | 0.166404 |
import time
import torch
import wandb
import random
import itertools
import numpy as np
from tqdm import tqdm
from collections import defaultdict
from torchsummary import summary
from mdlearn.utils import (
parse_args,
log_checkpoint,
log_latent_visualization,
resume_checkpoint,
get_torch_optimizer,... | examples/point_3d_aae/train.py | import time
import torch
import wandb
import random
import itertools
import numpy as np
from tqdm import tqdm
from collections import defaultdict
from torchsummary import summary
from mdlearn.utils import (
parse_args,
log_checkpoint,
log_latent_visualization,
resume_checkpoint,
get_torch_optimizer,... | 0.849379 | 0.185283 |
def rotated_array_search(input_list, number):
"""
Find the index by searching in a rotated sorted array
Args:
input_list(array), number(int): Input array to search and the target
Returns:
int: Index or -1
"""
return sub_array_search(input_list, number, 0, len(input_list) - 1)
de... | problem_2.py | def rotated_array_search(input_list, number):
"""
Find the index by searching in a rotated sorted array
Args:
input_list(array), number(int): Input array to search and the target
Returns:
int: Index or -1
"""
return sub_array_search(input_list, number, 0, len(input_list) - 1)
de... | 0.747432 | 0.839668 |
from __future__ import absolute_import, unicode_literals
import logging
from datetime import datetime
from django.contrib import messages
from django.contrib.auth.views import redirect_to_login
from django.core.urlresolvers import reverse, reverse_lazy
from django.utils.http import is_safe_url
from django.views impo... | django_demo/actions/views.py | from __future__ import absolute_import, unicode_literals
import logging
from datetime import datetime
from django.contrib import messages
from django.contrib.auth.views import redirect_to_login
from django.core.urlresolvers import reverse, reverse_lazy
from django.utils.http import is_safe_url
from django.views impo... | 0.519521 | 0.068413 |
import time
from server.resources.dataclasses import dataclass, field
from server.resources.jsonresource import JsonCollection, JsonResource
from server.resources.geometry import Vector3f
@dataclass
class FeatureDisplayStyle:
placement: str = field(default="point")
leftOffset: float = field(default=None)
... | server/feature/models.py | import time
from server.resources.dataclasses import dataclass, field
from server.resources.jsonresource import JsonCollection, JsonResource
from server.resources.geometry import Vector3f
@dataclass
class FeatureDisplayStyle:
placement: str = field(default="point")
leftOffset: float = field(default=None)
... | 0.671363 | 0.388879 |
import logging
from ray.rllib.agents.dqn.dqn_torch_policy import postprocess_nstep_and_prio
from ray.rllib.utils import merge_dicts
from marltoolbox.algos import hierarchical, augmented_dqn
from marltoolbox.utils import \
postprocessing, miscellaneous
logger = logging.getLogger(__name__)
APPROXIMATION_METHOD_Q_... | marltoolbox/algos/amTFT/base.py | import logging
from ray.rllib.agents.dqn.dqn_torch_policy import postprocess_nstep_and_prio
from ray.rllib.utils import merge_dicts
from marltoolbox.algos import hierarchical, augmented_dqn
from marltoolbox.utils import \
postprocessing, miscellaneous
logger = logging.getLogger(__name__)
APPROXIMATION_METHOD_Q_... | 0.325949 | 0.181989 |
from __future__ import print_function
import copy
class Data:
pass
ENSEMBL={}
ENSEMBL['chromosomes'] = ['1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','X','Y','MT']
version = '54'
ENSEMBL[version] = Data()
ENSEMBL[version].date='May 2009'
ENSEMBL[version].url='http://may... | whoz/create/ensembl/biomart_info.py | from __future__ import print_function
import copy
class Data:
pass
ENSEMBL={}
ENSEMBL['chromosomes'] = ['1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','X','Y','MT']
version = '54'
ENSEMBL[version] = Data()
ENSEMBL[version].date='May 2009'
ENSEMBL[version].url='http://may... | 0.350088 | 0.120698 |
from braintree.error_result import ErrorResult
from braintree.sub_merchant_account import SubMerchantAccount
from braintree.resource import Resource
from braintree.successful_result import SuccessfulResult
from braintree.exceptions.not_found_error import NotFoundError
class SubMerchantAccountGateway(object):
def _... | Lib/site-packages/braintree/sub_merchant_account_gateway.py | from braintree.error_result import ErrorResult
from braintree.sub_merchant_account import SubMerchantAccount
from braintree.resource import Resource
from braintree.successful_result import SuccessfulResult
from braintree.exceptions.not_found_error import NotFoundError
class SubMerchantAccountGateway(object):
def _... | 0.654453 | 0.105303 |
import timeit
import psutil
import gc
import os
import pyspark
from pyspark import SparkConf
from pyspark.sql import SparkSession, SQLContext, DataFrame, functions as F
from pyspark.sql.types import *
from pyspark.ml.feature import VectorAssembler
from pyspark.ml.clustering import KMeans
exec(open("./utils/utils.py"... | src/_spark/k_means.py | import timeit
import psutil
import gc
import os
import pyspark
from pyspark import SparkConf
from pyspark.sql import SparkSession, SQLContext, DataFrame, functions as F
from pyspark.sql.types import *
from pyspark.ml.feature import VectorAssembler
from pyspark.ml.clustering import KMeans
exec(open("./utils/utils.py"... | 0.360489 | 0.298111 |
%%manim Intro_BankAngle
from manim.mobject.geometry import ArrowTriangleFilledTip
from math import sin, cos, tan, pi
# config.pixel_height = 480
# config.pixel_width = 852
# config.quality = 'low_quality'
def load_c172_image():
return ImageMobject('C172.png', invert=False) \
.scale(0.5... | manim/bank_angle.py | %%manim Intro_BankAngle
from manim.mobject.geometry import ArrowTriangleFilledTip
from math import sin, cos, tan, pi
# config.pixel_height = 480
# config.pixel_width = 852
# config.quality = 'low_quality'
def load_c172_image():
return ImageMobject('C172.png', invert=False) \
.scale(0.5... | 0.626124 | 0.319214 |
import os
import logging
"""
rampup
Args:
file: Filepath of temp folder
Returns:
nothing yet
Raises:
KeyError: Raises an exception.
"""
def rampup(filepath):
commentTotal = 0
lineTotal = 0
commentScore = 0
readmeScore = 0
try:
# We want to iterate over modules independently,... | api/project1given/src/rampup.py | import os
import logging
"""
rampup
Args:
file: Filepath of temp folder
Returns:
nothing yet
Raises:
KeyError: Raises an exception.
"""
def rampup(filepath):
commentTotal = 0
lineTotal = 0
commentScore = 0
readmeScore = 0
try:
# We want to iterate over modules independently,... | 0.372734 | 0.296029 |
import math
from typing import Union, Callable
import torch
import torch.nn.functional as F
from torch import Tensor, distributions, nn
import combinators.trace.utils as trace_utils
from combinators import (
Program,
ImproperRandomVariable,
RandomVariable,
autodevice,
kw_autodevice,
Provenance... | experiments/annealing/models.py | import math
from typing import Union, Callable
import torch
import torch.nn.functional as F
from torch import Tensor, distributions, nn
import combinators.trace.utils as trace_utils
from combinators import (
Program,
ImproperRandomVariable,
RandomVariable,
autodevice,
kw_autodevice,
Provenance... | 0.935184 | 0.473779 |
from django.shortcuts import render
from django.urls import reverse_lazy
from django.views.generic.edit import CreateView, DeleteView, UpdateView
from django.views.generic import ListView, DetailView
from findysport_app.models import Usuario, Actividad, Local, Encargado, Apuntado, Grupo
from django.contrib.auth.mix... | findysport/findysport_app/views.py |
from django.shortcuts import render
from django.urls import reverse_lazy
from django.views.generic.edit import CreateView, DeleteView, UpdateView
from django.views.generic import ListView, DetailView
from findysport_app.models import Usuario, Actividad, Local, Encargado, Apuntado, Grupo
from django.contrib.auth.mix... | 0.388154 | 0.075756 |
import pandas as pd
from dateutil.relativedelta import relativedelta
import requests
from bs4 import BeautifulSoup
# Extract URLs to download
url = "http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'lxml')
text_to_search = ['Fam... | src/getFamaFrenchFactors.py | import pandas as pd
from dateutil.relativedelta import relativedelta
import requests
from bs4 import BeautifulSoup
# Extract URLs to download
url = "http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'lxml')
text_to_search = ['Fam... | 0.466846 | 0.286123 |
import math
import unittest
from typing import List
from dataset import DataSet
from feature.base import OneHotFeature
class CasingFeature(OneHotFeature):
def __init__(self, input_feature: str, trainable: bool=True, random_weights: bool=True):
super().__init__(input_feature, CasingFeature.default_alphab... | feature/casing.py | import math
import unittest
from typing import List
from dataset import DataSet
from feature.base import OneHotFeature
class CasingFeature(OneHotFeature):
def __init__(self, input_feature: str, trainable: bool=True, random_weights: bool=True):
super().__init__(input_feature, CasingFeature.default_alphab... | 0.762159 | 0.530054 |
import ClassifierTemplate as ct
import pandas as pd
data = pd.read_csv("../../data/processed/train_set.csv", index_col=0)
# DataFrame containing label (!)
df = pd.DataFrame(data)
label_column = "productivity_binned_binary"
# Build Classifier object with DataFrame and column name of truth values
c = ct.Classifier(df... | src/model/FeatureSelect_RandomForest.py | import ClassifierTemplate as ct
import pandas as pd
data = pd.read_csv("../../data/processed/train_set.csv", index_col=0)
# DataFrame containing label (!)
df = pd.DataFrame(data)
label_column = "productivity_binned_binary"
# Build Classifier object with DataFrame and column name of truth values
c = ct.Classifier(df... | 0.23118 | 0.176636 |
import matplotlib.pyplot as p
from pandas import read_csv
from spectral_cube import SpectralCube, Projection
import numpy as np
import astropy.units as u
from astropy.coordinates import Angle
from astropy.io import fits
import os
from os.path import join as osjoin
from cube_analysis.profiles import radial_profile
fro... | 14B-088/HI/analysis/HI_veldisp_profile.py | import matplotlib.pyplot as p
from pandas import read_csv
from spectral_cube import SpectralCube, Projection
import numpy as np
import astropy.units as u
from astropy.coordinates import Angle
from astropy.io import fits
import os
from os.path import join as osjoin
from cube_analysis.profiles import radial_profile
fro... | 0.556882 | 0.303119 |
import aepp
from aepp import connector
import logging
import time
class DataAccess:
"""
A class providing methods based on the Data Access API
https://www.adobe.io/apis/experienceplatform/home/api-reference.html#!acpdr/swagger-specs/data-access-api.yaml
"""
## logging capability
loggingEnable... | aepp/dataaccess.py | import aepp
from aepp import connector
import logging
import time
class DataAccess:
"""
A class providing methods based on the Data Access API
https://www.adobe.io/apis/experienceplatform/home/api-reference.html#!acpdr/swagger-specs/data-access-api.yaml
"""
## logging capability
loggingEnable... | 0.68616 | 0.171928 |
from xml.dom import minidom
import utils
import os
import urllib.request
import zipfile
import tarfile
from collections import defaultdict
import shutil
import glob
__author__ = "<NAME>"
"""
- Downloads dataset
- Extracts information from XML (original and corrected essays)
- Saves as txt files: target, source, vocab... | FCECorpusHandler.py | from xml.dom import minidom
import utils
import os
import urllib.request
import zipfile
import tarfile
from collections import defaultdict
import shutil
import glob
__author__ = "<NAME>"
"""
- Downloads dataset
- Extracts information from XML (original and corrected essays)
- Saves as txt files: target, source, vocab... | 0.301773 | 0.10079 |
from flask import Flask
import json
from pytest import fixture, mark
from pytest_bdd import scenarios, given, when, then, parsers
import random
from api import app, channels, identities
from records import Records
from users import Users
scenarios('../features/navigation.feature')
pytestmark = mark.api
@fixture
d... | tests/test_navigation_feature_on_api.py | from flask import Flask
import json
from pytest import fixture, mark
from pytest_bdd import scenarios, given, when, then, parsers
import random
from api import app, channels, identities
from records import Records
from users import Users
scenarios('../features/navigation.feature')
pytestmark = mark.api
@fixture
d... | 0.52902 | 0.14774 |
from core.himesis import Himesis
import uuid
class Hlayer3rule4(Himesis):
def __init__(self):
"""
Creates the himesis graph representing the DSLTrans rule layer3rule4.
"""
# Flag this instance as compiled now
self.is_compiled = True
super(Hlayer3rule4, self).__init__(name='Hlayer3rule4', num_nodes=0, edg... | mbeddr2C_MM/transformation_from_mps/Hlayer3rule4.py | from core.himesis import Himesis
import uuid
class Hlayer3rule4(Himesis):
def __init__(self):
"""
Creates the himesis graph representing the DSLTrans rule layer3rule4.
"""
# Flag this instance as compiled now
self.is_compiled = True
super(Hlayer3rule4, self).__init__(name='Hlayer3rule4', num_nodes=0, edg... | 0.466359 | 0.26631 |
import os
import json
import yaml
import jinja2
import requests
import importlib
from importlib.machinery import SourceFileLoader
from pathlib import Path
from pkg_resources import resource_string
jinja_env = jinja2.Environment(enable_async=True, autoescape=True)
serializers = {
'yaml': yaml.safe_load,
'json... | src/sovereign/config_loader.py | import os
import json
import yaml
import jinja2
import requests
import importlib
from importlib.machinery import SourceFileLoader
from pathlib import Path
from pkg_resources import resource_string
jinja_env = jinja2.Environment(enable_async=True, autoescape=True)
serializers = {
'yaml': yaml.safe_load,
'json... | 0.364325 | 0.144813 |
from __future__ import with_statement
from os.path import dirname, join, abspath
from operator import attrgetter
from flask import Flask, url_for, render_template
from jinja2 import FileSystemLoader
from flask.ext.assets import Bundle
from webassets.env import RegisterError
from flask_fleem.fleem import (Fleem, static_... | tests/test_fleem.py | from __future__ import with_statement
from os.path import dirname, join, abspath
from operator import attrgetter
from flask import Flask, url_for, render_template
from jinja2 import FileSystemLoader
from flask.ext.assets import Bundle
from webassets.env import RegisterError
from flask_fleem.fleem import (Fleem, static_... | 0.52975 | 0.208924 |
import os
import sys
from typing import List, Set
from PyQt6.QtCore import QPointF, QStandardPaths, Qt, pyqtSignal
from PyQt6.QtGui import QBrush, QColor, QFileSystemModel, QImage, QPainter, QPainterPath, QPen, QUndoCommand, QUndoStack
from PyQt6.QtPrintSupport import QPrinter
from PyQt6.QtSvg import QSvgGenerator
fro... | src/main_gui.py | import os
import sys
from typing import List, Set
from PyQt6.QtCore import QPointF, QStandardPaths, Qt, pyqtSignal
from PyQt6.QtGui import QBrush, QColor, QFileSystemModel, QImage, QPainter, QPainterPath, QPen, QUndoCommand, QUndoStack
from PyQt6.QtPrintSupport import QPrinter
from PyQt6.QtSvg import QSvgGenerator
fro... | 0.46223 | 0.116312 |
from __future__ import unicode_literals
import frappe
from frappe import _dict
class ProductFiltersBuilder:
def __init__(self, item_group=None):
if not item_group or item_group == "Products Settings":
self.doc = frappe.get_doc("Products Settings")
else:
self.doc = frappe.get_doc("Item Group", item_group)
... | mindhome_alpha/erpnext/shopping_cart/filters.py |
from __future__ import unicode_literals
import frappe
from frappe import _dict
class ProductFiltersBuilder:
def __init__(self, item_group=None):
if not item_group or item_group == "Products Settings":
self.doc = frappe.get_doc("Products Settings")
else:
self.doc = frappe.get_doc("Item Group", item_group)
... | 0.413359 | 0.10833 |
from unittest import TestCase
from uw_trumba.calendars import (
Calendars, _is_valid_calendarid, _get_campus_calenders)
class TestCalendars(TestCase):
def test_get_campus_calenders(self):
self.assertIsNotNone(_get_campus_calenders('sea'))
self.assertIsNotNone(_get_campus_calenders('bot'))
... | uw_trumba/tests/test_calendars.py |
from unittest import TestCase
from uw_trumba.calendars import (
Calendars, _is_valid_calendarid, _get_campus_calenders)
class TestCalendars(TestCase):
def test_get_campus_calenders(self):
self.assertIsNotNone(_get_campus_calenders('sea'))
self.assertIsNotNone(_get_campus_calenders('bot'))
... | 0.826257 | 0.572603 |
from django.contrib.gis.db import models
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
HOSTING_OPTIONS = (('self', 'Host own data'),
('az', 'Arizona Hub'),
('nv', 'Nevada Hub'),
('il', 'Illinois Hub'),
... | models.py | from django.contrib.gis.db import models
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
HOSTING_OPTIONS = (('self', 'Host own data'),
('az', 'Arizona Hub'),
('nv', 'Nevada Hub'),
('il', 'Illinois Hub'),
... | 0.449634 | 0.235015 |
import numpy as np
def slidingWindow(sequence,winSize,step=1):
"""Returns a generator that will iterate through
the defined chunks of input sequence. Input sequence
must be iterable.
Thanks to https://scipher.wordpress.com/2010/12/02/simple-sliding-window-iterator-in-python/"""
# Verify the input... | util.py | import numpy as np
def slidingWindow(sequence,winSize,step=1):
"""Returns a generator that will iterate through
the defined chunks of input sequence. Input sequence
must be iterable.
Thanks to https://scipher.wordpress.com/2010/12/02/simple-sliding-window-iterator-in-python/"""
# Verify the input... | 0.524151 | 0.371963 |
import sys, re, os.path, itertools
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd
from pylab import *
params={'axes.linewidth' : .5}
rcParams.update(params)
# get the filename from the command line
filename = sys.argv[1]
# first figure out last line of dataset
f = open... | src/ibm/plot_sims.py |
import sys, re, os.path, itertools
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd
from pylab import *
params={'axes.linewidth' : .5}
rcParams.update(params)
# get the filename from the command line
filename = sys.argv[1]
# first figure out last line of dataset
f = open... | 0.356111 | 0.402862 |
import time
import datetime as dt
import pandas as pd
import numpy as np
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
Returns:
... | home/bikeshare.py | import time
import datetime as dt
import pandas as pd
import numpy as np
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
Returns:
... | 0.614857 | 0.450359 |
import functools
from datetime import datetime
import time
from datetime import date
from dateutil.relativedelta import relativedelta
from halo import Halo # spinners for long running methods in terminal
def timeit(func):
"""Print the runtime of the decorated function"""
@functools.wraps(func)
def wrap... | sapRefresh/Core/Time.py | import functools
from datetime import datetime
import time
from datetime import date
from dateutil.relativedelta import relativedelta
from halo import Halo # spinners for long running methods in terminal
def timeit(func):
"""Print the runtime of the decorated function"""
@functools.wraps(func)
def wrap... | 0.453504 | 0.1881 |
import torch_optimizer
from torch import optim
from networks.bcresnet import MFCC_BCResnet
from networks.tcresnet import MFCC_TCResnet
from networks.matchboxnet import MFCC_MatchboxNet
def select_optimizer(opt_name, lr, model, sched_name="cos"):
if opt_name == "adam":
opt = optim.Adam(model.parameters(),... | utils/train_utils.py | import torch_optimizer
from torch import optim
from networks.bcresnet import MFCC_BCResnet
from networks.tcresnet import MFCC_TCResnet
from networks.matchboxnet import MFCC_MatchboxNet
def select_optimizer(opt_name, lr, model, sched_name="cos"):
if opt_name == "adam":
opt = optim.Adam(model.parameters(),... | 0.576184 | 0.250454 |
import discord, os, random
from keep_alive import keep_alive
client = discord.Client()
reprimainds = ['Language ', 'We don\'t use that language in this household ', 'Watch your mouth ', 'Hey, watch your language ']
@client.event
async def on_ready():
print('we have logged in as {0.user}'.format(client))
@client.e... | main.py | import discord, os, random
from keep_alive import keep_alive
client = discord.Client()
reprimainds = ['Language ', 'We don\'t use that language in this household ', 'Watch your mouth ', 'Hey, watch your language ']
@client.event
async def on_ready():
print('we have logged in as {0.user}'.format(client))
@client.e... | 0.094557 | 0.045799 |
from bsuite.environments.memory_chain import MemoryChain
import dm_env
import numpy as np
import random
import pandas as pd
class CustomMemoryChain(MemoryChain):
def __init__(self, memory_length: int, num_bits: int, seed: int = 0):
super().__init__(memory_length, num_bits, seed)
assert (
... | environment/custom_memory.py | from bsuite.environments.memory_chain import MemoryChain
import dm_env
import numpy as np
import random
import pandas as pd
class CustomMemoryChain(MemoryChain):
def __init__(self, memory_length: int, num_bits: int, seed: int = 0):
super().__init__(memory_length, num_bits, seed)
assert (
... | 0.892093 | 0.479869 |
from numpy import ndarray
from typing import Dict, Any, Optional
from lightgbm import LGBMRegressor, LGBMClassifier
from xgboost import XGBRegressor, XGBClassifier
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier, ExtraTreesRegressor, ExtraTreesClassifier
def lgb_reg(
x: ndarray,... | model/tree_models.py | from numpy import ndarray
from typing import Dict, Any, Optional
from lightgbm import LGBMRegressor, LGBMClassifier
from xgboost import XGBRegressor, XGBClassifier
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier, ExtraTreesRegressor, ExtraTreesClassifier
def lgb_reg(
x: ndarray,... | 0.73029 | 0.213213 |
pip install git+https://github.com/google-research/bigbird.git -q
"""
from bigbird.core import flags
import tensorflow.compat.v2 as tf
import tensorflow_text as tft
import tensorflow_datasets as tfds
import sys
FLAGS = flags.FLAGS
if not hasattr(FLAGS, "f"): flags.DEFINE_string("f", "", "")
FLAGS(sys.argv)
tf.enable_... | bigbird/core/coliee_ir_dataset/coliee_ir_dataset.py | pip install git+https://github.com/google-research/bigbird.git -q
"""
from bigbird.core import flags
import tensorflow.compat.v2 as tf
import tensorflow_text as tft
import tensorflow_datasets as tfds
import sys
FLAGS = flags.FLAGS
if not hasattr(FLAGS, "f"): flags.DEFINE_string("f", "", "")
FLAGS(sys.argv)
tf.enable_... | 0.517571 | 0.245254 |
import Axon
import random
import md5
import struct
from Kamaelia.Community.AM.Kamaelia.KPIFramework.KPI.Crypto import xtea
class SessionKeyController(Axon.Component.component):
"""\ SessionKeyController(kpikeys) -> new SessionKeyController component
Generates session keys and notifies all authenticat... | Sketches/AM/KPIPackage/Kamaelia/Community/AM/Kamaelia/KPIFramework/KPI/Server/SessionKeyController.py | import Axon
import random
import md5
import struct
from Kamaelia.Community.AM.Kamaelia.KPIFramework.KPI.Crypto import xtea
class SessionKeyController(Axon.Component.component):
"""\ SessionKeyController(kpikeys) -> new SessionKeyController component
Generates session keys and notifies all authenticat... | 0.348756 | 0.098166 |
from nose.tools import *
import catstuff.core.dbs
import catstuff.tools.db
from tests.classes import CSDBBaseTest
from catstuff import core, tools
import pymongo
@raises(NotImplementedError)
def test_unknown_uid_gene_method():
tools.db.generate_uid('unknown method')
class TestCSCollection(CSDBBaseTest):
co... | tests/catstuff/tools/test_db.py | from nose.tools import *
import catstuff.core.dbs
import catstuff.tools.db
from tests.classes import CSDBBaseTest
from catstuff import core, tools
import pymongo
@raises(NotImplementedError)
def test_unknown_uid_gene_method():
tools.db.generate_uid('unknown method')
class TestCSCollection(CSDBBaseTest):
co... | 0.635336 | 0.315973 |
import lasagne
import theano.tensor as T
import theano
import numpy as np
class NormalizeLayer(lasagne.layers.Layer):
def __init__(self, incoming, axes=None, epsilon=1e-10, alpha='single_pass',
return_stats=False, stat_indices=None,
**kwargs):
"""
This layer is a... | parmesan/layers/normalize.py | import lasagne
import theano.tensor as T
import theano
import numpy as np
class NormalizeLayer(lasagne.layers.Layer):
def __init__(self, incoming, axes=None, epsilon=1e-10, alpha='single_pass',
return_stats=False, stat_indices=None,
**kwargs):
"""
This layer is a... | 0.85753 | 0.649162 |
from south.db import db
from django.db import models
from myblog.pingback.models import *
class Migration:
def forwards(self, orm):
# Adding model 'DirectoryPing'
db.create_table('pingback_directoryping', (
('id', orm['pingback.DirectoryPing:id']),
('url', orm... | pingback/migrations/0001_initial.py |
from south.db import db
from django.db import models
from myblog.pingback.models import *
class Migration:
def forwards(self, orm):
# Adding model 'DirectoryPing'
db.create_table('pingback_directoryping', (
('id', orm['pingback.DirectoryPing:id']),
('url', orm... | 0.513668 | 0.035948 |
import datetime
import sys
import sqlalchemy as sa
from climate.db.sqlalchemy import facade_wrapper
from climate.db.sqlalchemy import models
get_session = facade_wrapper.get_session
def get_backend():
"""The backend is this module itself."""
return sys.modules[__name__]
def _get_leases_from_resource_id(... | climate/db/sqlalchemy/utils.py |
import datetime
import sys
import sqlalchemy as sa
from climate.db.sqlalchemy import facade_wrapper
from climate.db.sqlalchemy import models
get_session = facade_wrapper.get_session
def get_backend():
"""The backend is this module itself."""
return sys.modules[__name__]
def _get_leases_from_resource_id(... | 0.55254 | 0.201126 |
from pprint import pprint as pp
from loqusdb.build_models.variant import build_variant
def test_load_insertion(small_insert_variant, mongo_adapter, case_obj):
adapter = mongo_adapter
## GIVEN a mongo adapter with a case
variant = small_insert_variant
case_id = case_obj['case_id']
adapter.add_case(c... | tests/plugins/mongo/test_load_svs.py | from pprint import pprint as pp
from loqusdb.build_models.variant import build_variant
def test_load_insertion(small_insert_variant, mongo_adapter, case_obj):
adapter = mongo_adapter
## GIVEN a mongo adapter with a case
variant = small_insert_variant
case_id = case_obj['case_id']
adapter.add_case(c... | 0.526099 | 0.467332 |
import operator
from typing import AbstractSet, Tuple
import numpy
import pandas as pd
import pytest
from ...config import config
from ...datalog.basic_representation import WrappedRelationalAlgebraSet
from ...exceptions import NeuroLangException
from ...expressions import Constant, FunctionApplication, Symbol
from .... | neurolang/relational_algebra/tests/test_relational_algebra.py | import operator
from typing import AbstractSet, Tuple
import numpy
import pandas as pd
import pytest
from ...config import config
from ...datalog.basic_representation import WrappedRelationalAlgebraSet
from ...exceptions import NeuroLangException
from ...expressions import Constant, FunctionApplication, Symbol
from .... | 0.808294 | 0.541712 |
from odoo import models, fields, api
class Caidatphanbo(models.Model):
_name = 'res.automatic.share.settings'
_inherit = 'res.config.settings'
_order = 'id desc'
conf_support_recall_to_new = fields.Integer()
conf_resign_recall_to_new = fields.Integer()
conf_resign_sp_to_new = fields.Integer()... | tritam_automatic/config_auto_share.py | from odoo import models, fields, api
class Caidatphanbo(models.Model):
_name = 'res.automatic.share.settings'
_inherit = 'res.config.settings'
_order = 'id desc'
conf_support_recall_to_new = fields.Integer()
conf_resign_recall_to_new = fields.Integer()
conf_resign_sp_to_new = fields.Integer()... | 0.431704 | 0.100128 |
from suds import client, TypeNotFound
DEFAULT_URL="http://docs.virtualsolar.org/WSDL/VSOi_rpc_literal.wsdl"
DEFAULT_PORT="nsoVSOi"
class QueryResponse(list):
def __init__(self, lst, queryresult=None):
super(QueryResponse, self).__init__(lst)
self.queryresult = queryresult
self.errors = [... | lib/python/vsoClient.py |
from suds import client, TypeNotFound
DEFAULT_URL="http://docs.virtualsolar.org/WSDL/VSOi_rpc_literal.wsdl"
DEFAULT_PORT="nsoVSOi"
class QueryResponse(list):
def __init__(self, lst, queryresult=None):
super(QueryResponse, self).__init__(lst)
self.queryresult = queryresult
self.errors = [... | 0.641871 | 0.243182 |
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional
from siri.siri_model.siri_situation_identity_v1_1 import (
SituationFullRef,
SituationRef,
)
from siri.siri_utility.siri_types_v2_0 import (
NaturalLanguagePlaceNameStructure,
NaturalLanguageStringStructure,... | siri/siri_model/siri_reference_v2_0.py | from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional
from siri.siri_model.siri_situation_identity_v1_1 import (
SituationFullRef,
SituationRef,
)
from siri.siri_utility.siri_types_v2_0 import (
NaturalLanguagePlaceNameStructure,
NaturalLanguageStringStructure,... | 0.861261 | 0.351812 |