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 antlr4 import *
if __name__ is not None and "." in __name__:
from .DecafParser import DecafParser
else:
from DecafParser import DecafParser
# This class defines a complete listener for a parse tree produced by DecafParser.
class DecafListener(ParseTreeListener):
# Enter a parse tree produced by Decaf... | Grammar/DecafListener.py | from antlr4 import *
if __name__ is not None and "." in __name__:
from .DecafParser import DecafParser
else:
from DecafParser import DecafParser
# This class defines a complete listener for a parse tree produced by DecafParser.
class DecafListener(ParseTreeListener):
# Enter a parse tree produced by Decaf... | 0.410756 | 0.09899 |
__author__ = 'milo'
from ckan.tests import assert_equal, assert_in, assert_not_in, CreateTestData
import ckan.model as model
from ckanext.tess import node
class TestNodesUnit(object):
@classmethod
def setup_class(self):
CreateTestData.create()
model.Session.remove()
@classmethod
de... | ckanext/tess/tests/test_tess_unittests.py | __author__ = 'milo'
from ckan.tests import assert_equal, assert_in, assert_not_in, CreateTestData
import ckan.model as model
from ckanext.tess import node
class TestNodesUnit(object):
@classmethod
def setup_class(self):
CreateTestData.create()
model.Session.remove()
@classmethod
de... | 0.673729 | 0.42316 |
import sys
import datetime
DATE_FMT = "%Y-%m-%d %H:%M:%S"
__version__ = "0.2.1"
__description__ = "Module to further simplify log generation"
__contact__ = "<NAME>"
class Log:
def __init__(self,
out_path:str, *,
append=False,
delimiter="\t",
deb... | ccl_log/ccl_log.py | import sys
import datetime
DATE_FMT = "%Y-%m-%d %H:%M:%S"
__version__ = "0.2.1"
__description__ = "Module to further simplify log generation"
__contact__ = "<NAME>"
class Log:
def __init__(self,
out_path:str, *,
append=False,
delimiter="\t",
deb... | 0.229018 | 0.110759 |
from __future__ import annotations
from typing import Optional, TYPE_CHECKING, Union
# noinspection PyPackageRequirements
from pyspark.sql.types import StructType, DataType
from spark_auto_mapper_fhir.fhir_types.list import FhirList
from spark_auto_mapper_fhir.fhir_types.string import FhirString
from spark_auto_mapper... | spark_auto_mapper_fhir/resources/audit_event.py | from __future__ import annotations
from typing import Optional, TYPE_CHECKING, Union
# noinspection PyPackageRequirements
from pyspark.sql.types import StructType, DataType
from spark_auto_mapper_fhir.fhir_types.list import FhirList
from spark_auto_mapper_fhir.fhir_types.string import FhirString
from spark_auto_mapper... | 0.908364 | 0.264192 |
import math
import unittest
from unittest import TestCase
import geometry
from player.world_objects import Coordinate
class Test(TestCase):
def test_get_object_position01(self):
# Observer at oregon and ball at 5,5.
coord: Coordinate = geometry.get_object_position(-45, 7.07, 0, 0, 0)
delta... | tests/test_geometry.py | import math
import unittest
from unittest import TestCase
import geometry
from player.world_objects import Coordinate
class Test(TestCase):
def test_get_object_position01(self):
# Observer at oregon and ball at 5,5.
coord: Coordinate = geometry.get_object_position(-45, 7.07, 0, 0, 0)
delta... | 0.839701 | 0.82108 |
import logging
from multiprocessing import RLock
from time import time
class Strategy(object):
def __init__(self, first_monitoring_table_id=1):
self.logger = logging.getLogger(__name__)
self.debug("Strategy")
self.first_monitoring_table_id = first_monitoring_table_id
self.root_rule... | SDM/nodes/Strategy.py | import logging
from multiprocessing import RLock
from time import time
class Strategy(object):
def __init__(self, first_monitoring_table_id=1):
self.logger = logging.getLogger(__name__)
self.debug("Strategy")
self.first_monitoring_table_id = first_monitoring_table_id
self.root_rule... | 0.405213 | 0.177205 |
# This Is Not SWAKS
# TINS version 1.4.7
# Copyright (c) 2018 <NAME>
# <EMAIL>
import time
import sys
import getopt
import os
import mimetypes
import platform
import logging
from tempfile import TemporaryFile
from smtplib import SMTP
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
... | TINS.py |
# This Is Not SWAKS
# TINS version 1.4.7
# Copyright (c) 2018 <NAME>
# <EMAIL>
import time
import sys
import getopt
import os
import mimetypes
import platform
import logging
from tempfile import TemporaryFile
from smtplib import SMTP
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
... | 0.197019 | 0.104569 |
import pandas as pd
import numpy as np
from itertools import combinations
from catboost import CatBoostClassifier
train_df = pd.read_csv('input/train.csv')
test_df = pd.read_csv('input/test.csv')
print('read complete')
labels = train_df.target
test_id = test_df.ID
selected_features = [
'v10', 'v12', 'v14', 'v... | examples/catb2.py | import pandas as pd
import numpy as np
from itertools import combinations
from catboost import CatBoostClassifier
train_df = pd.read_csv('input/train.csv')
test_df = pd.read_csv('input/test.csv')
print('read complete')
labels = train_df.target
test_id = test_df.ID
selected_features = [
'v10', 'v12', 'v14', 'v... | 0.371821 | 0.23255 |
import json
import pickle
import sys
import os
import glob
import pandas as pd
import numpy as np
from tqdm import tqdm
from allennlp.predictors.predictor import Predictor
from copy import deepcopy
import torch
from torch import nn
import heapq
import argparse
import allennlp
from allennlp.common.checks import check_... | denoising_event_lm/predictors/event_lm/test_demo_event_lm_mctaco_before_after.py | import json
import pickle
import sys
import os
import glob
import pandas as pd
import numpy as np
from tqdm import tqdm
from allennlp.predictors.predictor import Predictor
from copy import deepcopy
import torch
from torch import nn
import heapq
import argparse
import allennlp
from allennlp.common.checks import check_... | 0.387227 | 0.193204 |
from flask import Flask, render_template, g, request, url_for, flash, redirect
from flask_admin.menu import MenuLink
from flask_login import current_user
from flask_admin import Admin
from conekt.extensions import toolbar, db, login_manager, cache, htmlmin, \
blast_thread, compress, whooshee, migrate, csrf
import... | conekt/app.py | from flask import Flask, render_template, g, request, url_for, flash, redirect
from flask_admin.menu import MenuLink
from flask_login import current_user
from flask_admin import Admin
from conekt.extensions import toolbar, db, login_manager, cache, htmlmin, \
blast_thread, compress, whooshee, migrate, csrf
import... | 0.435421 | 0.055875 |
import sys
import os
import argparse
from mfplugin.manager import PluginsManager
from mfplugin.utils import NotInstalledPlugin
from mfutil.cli import echo_bold
from mfutil import mkdir_p_or_die
from mflog import get_logger
HOME = os.environ['MFMODULE_HOME']
MFMODULE_LOWERCASE = os.environ['MFMODULE_LOWERCASE']
MFMODU... | adm/_prepare_plugin_config.py |
import sys
import os
import argparse
from mfplugin.manager import PluginsManager
from mfplugin.utils import NotInstalledPlugin
from mfutil.cli import echo_bold
from mfutil import mkdir_p_or_die
from mflog import get_logger
HOME = os.environ['MFMODULE_HOME']
MFMODULE_LOWERCASE = os.environ['MFMODULE_LOWERCASE']
MFMODU... | 0.1211 | 0.058588 |
from unittest import TestCase
from Blackjack.blackjack import Hand, Card, Deck
class TestDeck(TestCase):
def test_deal(self):
player_hand = []
deck = Deck()
player_hand.append(deck.deal())
player_hand.append(deck.deal())
actual = len(player_hand)
self.assertEqual(a... | Blackjack/test_blackjack.py | from unittest import TestCase
from Blackjack.blackjack import Hand, Card, Deck
class TestDeck(TestCase):
def test_deal(self):
player_hand = []
deck = Deck()
player_hand.append(deck.deal())
player_hand.append(deck.deal())
actual = len(player_hand)
self.assertEqual(a... | 0.51562 | 0.362292 |
from itertools import product
import os
import matplotlib.pyplot as plt
from multiprocessing import Pool
import numpy as np
from palettable.colorbrewer.qualitative import Paired_12, Set2_8, Dark2_8, Pastel2_8, Pastel1_9
import pandas as pd
import seaborn as sns
from scipy.signal import argrelmax
from scipy.stats impor... | Scales_database/Src/octave.py | from itertools import product
import os
import matplotlib.pyplot as plt
from multiprocessing import Pool
import numpy as np
from palettable.colorbrewer.qualitative import Paired_12, Set2_8, Dark2_8, Pastel2_8, Pastel1_9
import pandas as pd
import seaborn as sns
from scipy.signal import argrelmax
from scipy.stats impor... | 0.272799 | 0.318485 |
import numpy as np
import theano
import theano.tensor as tt
def traverse_postorder(node, leaf_f, node_f, transform=False):
if node.is_leaf:
return np.array([leaf_f(node)])
else:
child_results = [traverse_postorder(child, leaf_f, node_f, transform=transform) for child in node.descendants]
... | pymc/pylo/topology.py | import numpy as np
import theano
import theano.tensor as tt
def traverse_postorder(node, leaf_f, node_f, transform=False):
if node.is_leaf:
return np.array([leaf_f(node)])
else:
child_results = [traverse_postorder(child, leaf_f, node_f, transform=transform) for child in node.descendants]
... | 0.486088 | 0.334888 |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from tapi_server.models.base_model_ import Model
from tapi_server.models.admin_state_pac import AdminStatePac # noqa: F401,E501
from tapi_server.models.capacity import Capacity # noq... | TAPI_RI/flask_server/tapi_server/models/connectivity_service_end_point.py |
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from tapi_server.models.base_model_ import Model
from tapi_server.models.admin_state_pac import AdminStatePac # noqa: F401,E501
from tapi_server.models.capacity import Capacity # noq... | 0.816187 | 0.098642 |
from astropy.io import fits
import numpy as np
import casatasks
import os
import shutil
def get_extent(header):
# get the coordinate labels
nx = header["NAXIS1"]
ny = header["NAXIS2"]
assert (
nx % 2 == 0 and ny % 2 == 0
), "We don't have an even number of pixels, assumptions in the rout... | src/mpoldatasets/image.py | from astropy.io import fits
import numpy as np
import casatasks
import os
import shutil
def get_extent(header):
# get the coordinate labels
nx = header["NAXIS1"]
ny = header["NAXIS2"]
assert (
nx % 2 == 0 and ny % 2 == 0
), "We don't have an even number of pixels, assumptions in the rout... | 0.772144 | 0.567517 |
from Grove_Fingerprint import Fingerprint
import sys
import wiringpi2
fp = Fingerprint()
if fp.verifyPassword():
print 'Found device.'
else:
print 'Device not found'
sys.exit(0)
def getFingerprintIDez():
p = fp.getImage()
if p != fp.FINGERPRINT_OK:
return -1
p = fp.image2Tz()
... | BeagleBone/Green/Grove/Software/Python/Grove_Fingerprint/enroll.py | from Grove_Fingerprint import Fingerprint
import sys
import wiringpi2
fp = Fingerprint()
if fp.verifyPassword():
print 'Found device.'
else:
print 'Device not found'
sys.exit(0)
def getFingerprintIDez():
p = fp.getImage()
if p != fp.FINGERPRINT_OK:
return -1
p = fp.image2Tz()
... | 0.136493 | 0.064271 |
import prang
import os
import os.path
import pytest
from prang.validation import (
Name, Interleave, Element, EMPTY, ElementNode, QName, TEXT, After,
start_tag_close_deriv, after, interleave, children_deriv, text_deriv,
child_deriv, choice, NotAllowed, whitespace, Choice, OneOrMore,
start_tag_open_deriv... | tests/test_validation.py | import prang
import os
import os.path
import pytest
from prang.validation import (
Name, Interleave, Element, EMPTY, ElementNode, QName, TEXT, After,
start_tag_close_deriv, after, interleave, children_deriv, text_deriv,
child_deriv, choice, NotAllowed, whitespace, Choice, OneOrMore,
start_tag_open_deriv... | 0.591723 | 0.401482 |
from django.contrib.auth.models import AnonymousUser
from django.test import TestCase
# test imports
from lfs.tests.utils import create_request
# lfs imports
from lfs.catalog.models import Product
from lfs.core.models import Country
from lfs.criteria.models import CountryCriterion
from lfs.criteria.models import Crit... | lfs/customer_tax/tests.py | from django.contrib.auth.models import AnonymousUser
from django.test import TestCase
# test imports
from lfs.tests.utils import create_request
# lfs imports
from lfs.catalog.models import Product
from lfs.core.models import Country
from lfs.criteria.models import CountryCriterion
from lfs.criteria.models import Crit... | 0.604983 | 0.173603 |
import xml.etree.ElementTree as ET
from lxml import etree as ET
from glob import glob
from bs4 import BeautifulSoup as bs
CLASS_GRIDING = {
'label' : 'large-2 small-4 columns',
'input' : 'large-10 small-8 columns',
'default' : 'large-10 small-8 columns'
}
def get_form(data):
return data[data.find('<form'):data.fi... | tools/convert_to_grid.py | import xml.etree.ElementTree as ET
from lxml import etree as ET
from glob import glob
from bs4 import BeautifulSoup as bs
CLASS_GRIDING = {
'label' : 'large-2 small-4 columns',
'input' : 'large-10 small-8 columns',
'default' : 'large-10 small-8 columns'
}
def get_form(data):
return data[data.find('<form'):data.fi... | 0.096227 | 0.088465 |
import argparse
import os
import shutil
from time import strftime, gmtime
def get_args():
parser = argparse.ArgumentParser(description="Update the mod source files")
parser.add_argument("source_dir", type=str, help="Directory of the mod where it has been updated")
parser.add_argument("target_dir", type=st... | src/update_source.py | import argparse
import os
import shutil
from time import strftime, gmtime
def get_args():
parser = argparse.ArgumentParser(description="Update the mod source files")
parser.add_argument("source_dir", type=str, help="Directory of the mod where it has been updated")
parser.add_argument("target_dir", type=st... | 0.294824 | 0.088583 |
import torch.nn as nn
class CNN1D(nn.Module):
def __init__(self,
len_seq,
out_size,
in_channels=None,
out_channels=None,
kernel_size=3,
stride=1,
padding=0,
pool_padding=0,
... | src/models/cnn1d.py | import torch.nn as nn
class CNN1D(nn.Module):
def __init__(self,
len_seq,
out_size,
in_channels=None,
out_channels=None,
kernel_size=3,
stride=1,
padding=0,
pool_padding=0,
... | 0.943282 | 0.366306 |
from types import MethodType
class RouteMeta:
"""
路由元数据
"""
def __init__(self,
handler: MethodType,
func_args,
route_id=None,
module=None,
name=None,
kwargs=None):
"""
... | restful_dj/meta.py | from types import MethodType
class RouteMeta:
"""
路由元数据
"""
def __init__(self,
handler: MethodType,
func_args,
route_id=None,
module=None,
name=None,
kwargs=None):
"""
... | 0.458834 | 0.14624 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("lorikeet", "0005_cart_payment_method"),
("shop", "0001_initial"),
]
operations = [
migrations.CreateModel(
... | testproject/shop/migrations/0002_australiandeliveryaddress_pipecard.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("lorikeet", "0005_cart_payment_method"),
("shop", "0001_initial"),
]
operations = [
migrations.CreateModel(
... | 0.630344 | 0.166472 |
from typing import Any, Callable, List, Type, cast, TypeVar, Dict, Union
T = TypeVar("T")
class InvalidTypeException(Exception):
pass
class NotNoneException(InvalidTypeException):
pass
class NotIntException(InvalidTypeException):
pass
class NotFloatException(InvalidTypeException):
pass
class ... | cryptocompsdk/general/parse.py | from typing import Any, Callable, List, Type, cast, TypeVar, Dict, Union
T = TypeVar("T")
class InvalidTypeException(Exception):
pass
class NotNoneException(InvalidTypeException):
pass
class NotIntException(InvalidTypeException):
pass
class NotFloatException(InvalidTypeException):
pass
class ... | 0.881914 | 0.396389 |
import consul
import os
import socket
import sys
import argparse
import random
import json
workey = f'YGWK{random.randint(100000,3000000)}'
"""
printhelp() - prints help message and exits
"""
def printhelp():
print (f'{os.path.basename(sys.argv[0])} <keyname> [-s|--server <consul server addr (def. localhost)>] [-p... | kv2json.py |
import consul
import os
import socket
import sys
import argparse
import random
import json
workey = f'YGWK{random.randint(100000,3000000)}'
"""
printhelp() - prints help message and exits
"""
def printhelp():
print (f'{os.path.basename(sys.argv[0])} <keyname> [-s|--server <consul server addr (def. localhost)>] [-p... | 0.311741 | 0.16807 |
import os, sys
import numpy as np
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)),"../../"))
from skdecide.builders.discrete_optimization.generic_tools.do_problem import Solution, Problem, EncodingRegister, TypeAttribute
from skdecide.builders.discrete_optimization.generic_tools.do_mutation impo... | skdecide/builders/discrete_optimization/generic_tools/mutations/mutation_catalog.py | import os, sys
import numpy as np
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)),"../../"))
from skdecide.builders.discrete_optimization.generic_tools.do_problem import Solution, Problem, EncodingRegister, TypeAttribute
from skdecide.builders.discrete_optimization.generic_tools.do_mutation impo... | 0.33928 | 0.281196 |
import fire
from pathlib import Path
import numpy as np
from solr_util import AnexoIterable
from datetime import datetime
from itertools import product
from split_text import split_by_break
def get_anos_tipos_regioes():
anos = np.arange(datetime.today().year, 2013, -1)
tipos = ['Ata de Audiencia', 'Sentenca',... | scripts/merge_solr_docs.py | import fire
from pathlib import Path
import numpy as np
from solr_util import AnexoIterable
from datetime import datetime
from itertools import product
from split_text import split_by_break
def get_anos_tipos_regioes():
anos = np.arange(datetime.today().year, 2013, -1)
tipos = ['Ata de Audiencia', 'Sentenca',... | 0.339499 | 0.206834 |
import json
import nose
import flask_testing
from app import create_app
from app.database.models.project import Project
class TestUserApi(flask_testing.TestCase):
proj = None
def create_app(self):
return create_app(mode='TEST')
def setUp(self):
self.proj = Project.init_pr... | tests/test_api/test_project_api.py | import json
import nose
import flask_testing
from app import create_app
from app.database.models.project import Project
class TestUserApi(flask_testing.TestCase):
proj = None
def create_app(self):
return create_app(mode='TEST')
def setUp(self):
self.proj = Project.init_pr... | 0.371023 | 0.305956 |
import numpy as np
import pandas as pd
from tqdm import tqdm
from joblib import Parallel, delayed
def cytopath_merger(adata, overlap=0.5, num_cores=1):
"""
Arguments
---------
adata: :class:`~anndata.AnnData`
Annotated data matrix with end points.
overlap: float (default: 0.5)
overl... | cytopath/trajectory_estimation/cytopath_merger.py | import numpy as np
import pandas as pd
from tqdm import tqdm
from joblib import Parallel, delayed
def cytopath_merger(adata, overlap=0.5, num_cores=1):
"""
Arguments
---------
adata: :class:`~anndata.AnnData`
Annotated data matrix with end points.
overlap: float (default: 0.5)
overl... | 0.512449 | 0.485173 |
from __future__ import print_function
from itertools import zip_longest, chain
import sys
from bitarray import bitarray
import logging
logger = logging.getLogger(__name__)
# This allows us to use consistent endianness throughout the program
ENDIAN = sys.byteorder
# In little endian format, the LSB is the first bit. ... | steg/steg.py | from __future__ import print_function
from itertools import zip_longest, chain
import sys
from bitarray import bitarray
import logging
logger = logging.getLogger(__name__)
# This allows us to use consistent endianness throughout the program
ENDIAN = sys.byteorder
# In little endian format, the LSB is the first bit. ... | 0.629091 | 0.401834 |
import ast
import argparse
from datetime import datetime, timedelta
from azureml.datadrift import DataDriftDetector, AlertConfiguration
from azureml.core import Workspace
from azureml.core.run import Run
from azureml.core.model import Model, InferenceConfig, Dataset
class DataDrift():
def __init__(self,
... | src/monitoring/scripts/data_drift.py | import ast
import argparse
from datetime import datetime, timedelta
from azureml.datadrift import DataDriftDetector, AlertConfiguration
from azureml.core import Workspace
from azureml.core.run import Run
from azureml.core.model import Model, InferenceConfig, Dataset
class DataDrift():
def __init__(self,
... | 0.319971 | 0.28073 |
import os
import logging
import json
from typing import List, Dict
import torch
from .discrete_tuning import preprocess
from ..config import Config
from ..util import load_language_model
from ..trainer import BaseTrainer
os.environ["TOKENIZERS_PARALLELISM"] = "false" # to turn off warning message
__all__ = 'Continuo... | relbert/prompt/continuous_tuning.py | import os
import logging
import json
from typing import List, Dict
import torch
from .discrete_tuning import preprocess
from ..config import Config
from ..util import load_language_model
from ..trainer import BaseTrainer
os.environ["TOKENIZERS_PARALLELISM"] = "false" # to turn off warning message
__all__ = 'Continuo... | 0.803058 | 0.182207 |
from bottle import route, run, template, response
import requests, threading, struct, time
from collections import namedtuple
class Mjpeg:
def __init__(self, url):
self.url = url
self.image = ""
self.stopWork = False
def doWork(self):
global lastRequest
r = requests.ge... | mjpgserver.py | from bottle import route, run, template, response
import requests, threading, struct, time
from collections import namedtuple
class Mjpeg:
def __init__(self, url):
self.url = url
self.image = ""
self.stopWork = False
def doWork(self):
global lastRequest
r = requests.ge... | 0.265785 | 0.14685 |
from Puzzle.PuzzlePiece import *
from Img.filters import angle_between
from Img.Pixel import *
import math
import numpy as np
def rotate(origin, point, angle):
"""
Rotate the pixel around `origin` by `angle` degrees
:param origin: Coordinates of points used to rotate around
:param angle: n... | src/Puzzle/Mover.py | from Puzzle.PuzzlePiece import *
from Img.filters import angle_between
from Img.Pixel import *
import math
import numpy as np
def rotate(origin, point, angle):
"""
Rotate the pixel around `origin` by `angle` degrees
:param origin: Coordinates of points used to rotate around
:param angle: n... | 0.841044 | 0.699934 |
from django.shortcuts import HttpResponse
import json
from college.models import College
from student.models import Student
from teacher.models import Teacher
from login.models import User
# Create your views here.
def teacher(request):
if request.method == "POST":
data = json.loads(request.body.decode()... | eecs-online-server/login/views.py | from django.shortcuts import HttpResponse
import json
from college.models import College
from student.models import Student
from teacher.models import Teacher
from login.models import User
# Create your views here.
def teacher(request):
if request.method == "POST":
data = json.loads(request.body.decode()... | 0.219923 | 0.076064 |
import os
import sys
import h5py
import argparse
from keras.optimizers import Adam
from keras.callbacks import TensorBoard, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping
from keras_yolo3.yolo3.utils import read_classes, create_model, create_tiny_model, data_generator_wrapper_hdf5, make_dir
from keras_yolo3.yolo3 i... | keras_yolo3/bin/train.py | import os
import sys
import h5py
import argparse
from keras.optimizers import Adam
from keras.callbacks import TensorBoard, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping
from keras_yolo3.yolo3.utils import read_classes, create_model, create_tiny_model, data_generator_wrapper_hdf5, make_dir
from keras_yolo3.yolo3 i... | 0.53607 | 0.256294 |
import os
from pathlib import Path
import pandas as pd
from autofe.tabular_embedding.tabular_embedding_transformer import TabularEmbeddingTransformer
from sklearn.datasets import fetch_covtype
if __name__ == '__main__':
ROOTDIR = Path('/home/robin/jianzh/autotabular/examples/automlbechmark')
datafile = ROOTDI... | examples/automlbechmark/run_experiments/covtype/covtype_autogluon_embedding.py | import os
from pathlib import Path
import pandas as pd
from autofe.tabular_embedding.tabular_embedding_transformer import TabularEmbeddingTransformer
from sklearn.datasets import fetch_covtype
if __name__ == '__main__':
ROOTDIR = Path('/home/robin/jianzh/autotabular/examples/automlbechmark')
datafile = ROOTDI... | 0.40698 | 0.251292 |
from typing import Any, Awaitable, Callable, Optional
from tornado import httpclient
from tornado import simple_httpclient
from .exceptions import HTTPTimeoutError, HTTPError
from tweb.utils.escape import json_dumps
async def request(url: str,
*,
method: str = 'GET',
... | tweb/arequest.py | from typing import Any, Awaitable, Callable, Optional
from tornado import httpclient
from tornado import simple_httpclient
from .exceptions import HTTPTimeoutError, HTTPError
from tweb.utils.escape import json_dumps
async def request(url: str,
*,
method: str = 'GET',
... | 0.661486 | 0.05455 |
import math
from astropy import units as u
import logging
import pyproj
class TelescopeData:
"""
data class for telescope IDs and
positions
"""
def __init__(self):
"""Inits TelescopeData with blah."""
self.name = None
self.x = math.nan * u.meter
self.y = math.nan *... | layout_telescope.py | import math
from astropy import units as u
import logging
import pyproj
class TelescopeData:
"""
data class for telescope IDs and
positions
"""
def __init__(self):
"""Inits TelescopeData with blah."""
self.name = None
self.x = math.nan * u.meter
self.y = math.nan *... | 0.579281 | 0.392162 |
from infi.pyutils.lazy import cached_function
from .config import Configuration
from infi.jira_cli.jira_adapter import get_auth
import requests
try:
from urlparse import urljoin
except:
from urllib.parse import urljoin
BASE_REST_URI = "https://{fqdn}/rest/"
FIELD_URI = "/api/2/field"
ADD_URI = "jiracustomfiel... | src/infi/jira_cli/custom_field_editor.py | from infi.pyutils.lazy import cached_function
from .config import Configuration
from infi.jira_cli.jira_adapter import get_auth
import requests
try:
from urlparse import urljoin
except:
from urllib.parse import urljoin
BASE_REST_URI = "https://{fqdn}/rest/"
FIELD_URI = "/api/2/field"
ADD_URI = "jiracustomfiel... | 0.395484 | 0.073763 |
import random
from typing import Any, Dict, Iterable, Tuple, Union
import numpy
from ..common.compilation import CompilationConfiguration
from ..common.data_types import Float, Integer
from ..common.values import BaseValue, TensorValue
def _generate_random_integer_scalar(dtype: Integer) -> int:
"""Generate a r... | concrete/numpy/np_inputset_helpers.py |
import random
from typing import Any, Dict, Iterable, Tuple, Union
import numpy
from ..common.compilation import CompilationConfiguration
from ..common.data_types import Float, Integer
from ..common.values import BaseValue, TensorValue
def _generate_random_integer_scalar(dtype: Integer) -> int:
"""Generate a r... | 0.915287 | 0.559832 |
from io import BytesIO
from django.core.files import File
from django.db.models import Q
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, render
from reportlab.lib.pagesizes import A4
from reportlab.pdfgen import canvas
from rest_framework import status, viewsets
from rest_framework... | qr/codes/views.py | from io import BytesIO
from django.core.files import File
from django.db.models import Q
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, render
from reportlab.lib.pagesizes import A4
from reportlab.pdfgen import canvas
from rest_framework import status, viewsets
from rest_framework... | 0.506591 | 0.138928 |
from __future__ import unicode_literals
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependen... | awards/migrations/0001_initial.py | from __future__ import unicode_literals
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import tinymce.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependen... | 0.57523 | 0.129046 |
import warnings
import numpy as np
import pytest
from shapely.geometry import Polygon
from regionmask import Regions_cls, _OneRegion
warnings.filterwarnings(message="Using 'Regions_cls'", action="ignore")
# =============================================================================
# set up the testing regions... | regionmask/test/test_Regions_cls.py | import warnings
import numpy as np
import pytest
from shapely.geometry import Polygon
from regionmask import Regions_cls, _OneRegion
warnings.filterwarnings(message="Using 'Regions_cls'", action="ignore")
# =============================================================================
# set up the testing regions... | 0.659844 | 0.759181 |
import datetime
import logging
from cointrader.indicators import (
WAIT, BUY, SELL, Signal, macdh_momententum, macdh, double_cross
)
log = logging.getLogger(__name__)
class Strategy(object):
"""Docstring for Strategy. """
def __str__(self):
return "{}".format(self.__class__)
def __init__(s... | cointrader/strategy.py | import datetime
import logging
from cointrader.indicators import (
WAIT, BUY, SELL, Signal, macdh_momententum, macdh, double_cross
)
log = logging.getLogger(__name__)
class Strategy(object):
"""Docstring for Strategy. """
def __str__(self):
return "{}".format(self.__class__)
def __init__(s... | 0.641198 | 0.33876 |
from tests.gui.conftest import WAIT_FRONTEND
from tests.gui.utils.generic import parse_seq, repeat_failed
from pytest_bdd import when, then, parsers
__author__ = "<NAME>, <NAME>"
__copyright__ = "Copyright (C) 2016 ACK CYFRONET AGH"
__license__ = "This software is released under the MIT license cited in " \
... | tests/gui/steps/oneprovider_metadata.py | from tests.gui.conftest import WAIT_FRONTEND
from tests.gui.utils.generic import parse_seq, repeat_failed
from pytest_bdd import when, then, parsers
__author__ = "<NAME>, <NAME>"
__copyright__ = "Copyright (C) 2016 ACK CYFRONET AGH"
__license__ = "This software is released under the MIT license cited in " \
... | 0.359139 | 0.137214 |
# built-in
import csv
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import norm
from progress.bar import Bar
from timeit import default_timer as timer
# user
from cogen_util import find_global_cost
import pce as pce
from pce.quad4pce import columnize
# savedata flag (set to true to save the simu... | CogenEval_Sobol_indices.py |
# built-in
import csv
import matplotlib.pyplot as plt
import numpy as np
from scipy.stats import norm
from progress.bar import Bar
from timeit import default_timer as timer
# user
from cogen_util import find_global_cost
import pce as pce
from pce.quad4pce import columnize
# savedata flag (set to true to save the simu... | 0.300335 | 0.329837 |
import symjax
import symjax.tensor as T
import numpy as np
class Agent(object):
def get_action(self, state):
return self.actor.get_action(state)
def get_actions(self, states):
return self.actor.get_actions(states)
def play(self, state, env, skip_frames=1, reward_scaling=1):
acti... | symjax/rl/agents.py | import symjax
import symjax.tensor as T
import numpy as np
class Agent(object):
def get_action(self, state):
return self.actor.get_action(state)
def get_actions(self, states):
return self.actor.get_actions(states)
def play(self, state, env, skip_frames=1, reward_scaling=1):
acti... | 0.810066 | 0.38827 |
import numpy as np
from .databases import RetrievalDb
from ..utils.generic_utils import expanded_join
class StanfordOnlineProducts(RetrievalDb):
""" Stanford Online Products dataset wrapper. Refs:
https://www.cv-foundation.org/openaccess/content_cvpr_2016/app/S17-11.pdf
Arguments:
Returns:
In... | kerastools/databases/stanford_online_products.py | import numpy as np
from .databases import RetrievalDb
from ..utils.generic_utils import expanded_join
class StanfordOnlineProducts(RetrievalDb):
""" Stanford Online Products dataset wrapper. Refs:
https://www.cv-foundation.org/openaccess/content_cvpr_2016/app/S17-11.pdf
Arguments:
Returns:
In... | 0.807309 | 0.53443 |
import pytest
from urouter.api import Route, Router
from urouter.constants import Method as mt
@pytest.mark.parametrize(
"method, pattern, handler",
[
(mt.CONNECT, "/connect", lambda x: mt.CONNECT),
(mt.DELETE, "/delete", lambda x: mt.DELETE),
(mt.GET, "/get", lambda x: mt.GET),
... | tests/test_router.py | import pytest
from urouter.api import Route, Router
from urouter.constants import Method as mt
@pytest.mark.parametrize(
"method, pattern, handler",
[
(mt.CONNECT, "/connect", lambda x: mt.CONNECT),
(mt.DELETE, "/delete", lambda x: mt.DELETE),
(mt.GET, "/get", lambda x: mt.GET),
... | 0.521227 | 0.445891 |
import os
import re
supported_modes = {
"ABAP": ['abap'],
"ABC": ['abc'],
"ActionScript": ['as'],
"ADA": ['ada|adb'],
"Apache_Conf": ['^htaccess|^htgroups|^htpasswd|^conf|htaccess|htgroups|htpasswd'],
"AsciiDoc": ['asciidoc|adoc'],
"Assembly_x86": ['asm|a'],
"AutoHotKey": ['ahk'],
"... | lib/filetypes.py | import os
import re
supported_modes = {
"ABAP": ['abap'],
"ABC": ['abc'],
"ActionScript": ['as'],
"ADA": ['ada|adb'],
"Apache_Conf": ['^htaccess|^htgroups|^htpasswd|^conf|htaccess|htgroups|htpasswd'],
"AsciiDoc": ['asciidoc|adoc'],
"Assembly_x86": ['asm|a'],
"AutoHotKey": ['ahk'],
"... | 0.338296 | 0.586227 |
import math
# -------------------------------
# Particle shape Factor functions
# -------------------------------
# Linear shapes
# longitudinal (z)
def Sz_linear(cell_position, index):
s = math.ceil(cell_position) - cell_position
if index == 1:
s = 1.-s
return s
# transversal (r)
def Sr_linear(... | fbpic/particles/deposition/particle_shapes.py | import math
# -------------------------------
# Particle shape Factor functions
# -------------------------------
# Linear shapes
# longitudinal (z)
def Sz_linear(cell_position, index):
s = math.ceil(cell_position) - cell_position
if index == 1:
s = 1.-s
return s
# transversal (r)
def Sr_linear(... | 0.659076 | 0.665995 |
from codepuller import config
import requests
import traceback
import pendulum
ENVIRONMENT = "COLTEN LAPTOP - DEV"
color = {
"success": "#689F38",
"information": "#1565C0",
"warning": "#FFCE31",
"error": "#cd201f"
}
def log(text=None,name=None,avatar=None,timestamp=None,repo=None,repoUrl=None,commit=... | util/slack.py | from codepuller import config
import requests
import traceback
import pendulum
ENVIRONMENT = "COLTEN LAPTOP - DEV"
color = {
"success": "#689F38",
"information": "#1565C0",
"warning": "#FFCE31",
"error": "#cd201f"
}
def log(text=None,name=None,avatar=None,timestamp=None,repo=None,repoUrl=None,commit=... | 0.387922 | 0.080719 |
from __future__ import unicode_literals
#: An alphabetical list of provinces for use as `choices` in a formfield.
#: http://en.wikipedia.org/wiki/ISO_3166-2:CN
#: http://en.wikipedia.org/wiki/Province_%28China%29
#: http://en.wikipedia.org/wiki/Direct-controlled_municipality
#: http://en.wikipedia.org/wiki/Autonomous_... | localflavor/cn/cn_provinces.py | from __future__ import unicode_literals
#: An alphabetical list of provinces for use as `choices` in a formfield.
#: http://en.wikipedia.org/wiki/ISO_3166-2:CN
#: http://en.wikipedia.org/wiki/Province_%28China%29
#: http://en.wikipedia.org/wiki/Direct-controlled_municipality
#: http://en.wikipedia.org/wiki/Autonomous_... | 0.702734 | 0.329972 |
from flask import Flask, render_template, request
from datetime import date, datetime
from message import text
import psycopg2
import math
import simplejson
import prediction
class CustomFlask(Flask):
jinja_options = Flask.jinja_options.copy()
jinja_options.update(dict(
block_start_string='<%',
... | server.py | from flask import Flask, render_template, request
from datetime import date, datetime
from message import text
import psycopg2
import math
import simplejson
import prediction
class CustomFlask(Flask):
jinja_options = Flask.jinja_options.copy()
jinja_options.update(dict(
block_start_string='<%',
... | 0.565419 | 0.212069 |
import dgl
import dgl.function as fn
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import RelGraphConv
from utils import *
class MultiHotEmbeddingLayer(nn.Module):
def __init__(self, num_emb, emb_dim, base=2):
super(MultiHotEmbeddingL... | UnsupervisedNodeClassification/Model/CompGCN/src/model.py | import dgl
import dgl.function as fn
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from dgl.nn.pytorch import RelGraphConv
from utils import *
class MultiHotEmbeddingLayer(nn.Module):
def __init__(self, num_emb, emb_dim, base=2):
super(MultiHotEmbeddingL... | 0.910124 | 0.28913 |
import json
import hashlib
from os import path
import time
from django.core.cache import cache
from django.templatetags.static import static
from django.utils.html import format_html
from webpack_bridge.errors import WebpackError, WebpackManifestNotFound,\
WebpackEntryNotFound, FileExtensionHasNoMapping
from web... | webpack_bridge/manifest.py |
import json
import hashlib
from os import path
import time
from django.core.cache import cache
from django.templatetags.static import static
from django.utils.html import format_html
from webpack_bridge.errors import WebpackError, WebpackManifestNotFound,\
WebpackEntryNotFound, FileExtensionHasNoMapping
from web... | 0.516352 | 0.091951 |
import re
from fiql_parser import parse_str_to_expression, FiqlException
from sqlalchemy_filters import apply_filters, apply_pagination
from sqlalchemy_filters.exceptions import FieldNotFound, BadFilterFormat
from werkzeug.exceptions import abort
def to_fiql(filter_spec: str):
"""Transform a filter specification... | calories/main/util/filters.py | import re
from fiql_parser import parse_str_to_expression, FiqlException
from sqlalchemy_filters import apply_filters, apply_pagination
from sqlalchemy_filters.exceptions import FieldNotFound, BadFilterFormat
from werkzeug.exceptions import abort
def to_fiql(filter_spec: str):
"""Transform a filter specification... | 0.631367 | 0.527317 |
import asyncio
from telethon.tl.functions.channels import EditAdminRequest, InviteToChannelRequest
from telethon.tl.types import ChatAdminRights
from AyiinXd import BOT_VER as version
from AyiinXd import BOTLOG_CHATID
from AyiinXd import CMD_HANDLER as cmd
from AyiinXd import AYIIN2, AYIIN3, AYIIN4, AYIIN5, AYIIN6, ... | AyiinXd/clients/logger.py |
import asyncio
from telethon.tl.functions.channels import EditAdminRequest, InviteToChannelRequest
from telethon.tl.types import ChatAdminRights
from AyiinXd import BOT_VER as version
from AyiinXd import BOTLOG_CHATID
from AyiinXd import CMD_HANDLER as cmd
from AyiinXd import AYIIN2, AYIIN3, AYIIN4, AYIIN5, AYIIN6, ... | 0.155015 | 0.060391 |
# This simple app uses the '/translate' resource to translate text from
# one language to another.
# This sample runs on Python 2.7.x and Python 3.x.
# You may need to install requests and uuid.
# Run: pip install requests uuid
import sys, os, requests, uuid, json, codecs, urllib
from ocd_backend.settings import AZ... | ocd_backend/utils/azure.py |
# This simple app uses the '/translate' resource to translate text from
# one language to another.
# This sample runs on Python 2.7.x and Python 3.x.
# You may need to install requests and uuid.
# Run: pip install requests uuid
import sys, os, requests, uuid, json, codecs, urllib
from ocd_backend.settings import AZ... | 0.386995 | 0.069795 |
from subprocess import (
call
)
from os import (
walk,
makedirs
)
from os.path import (
dirname,
join,
isdir,
isfile,
)
from re import (
compile
)
from collections import (
OrderedDict
)
locale_files = OrderedDict()
# Using of explicitly set (b)inary modifier for the pattern is re... | update-translation.py |
from subprocess import (
call
)
from os import (
walk,
makedirs
)
from os.path import (
dirname,
join,
isdir,
isfile,
)
from re import (
compile
)
from collections import (
OrderedDict
)
locale_files = OrderedDict()
# Using of explicitly set (b)inary modifier for the pattern is re... | 0.576542 | 0.155591 |
import os
import re
import codecs
try:
import setuptools
from setuptools import setup
except ImportError:
setuptools = None
from distutils.core import setup
import kipp
with open("requirements.txt") as f:
install_requires = f.read().strip().split("\n")
try:
import concurrent.futures
except... | setup.py |
import os
import re
import codecs
try:
import setuptools
from setuptools import setup
except ImportError:
setuptools = None
from distutils.core import setup
import kipp
with open("requirements.txt") as f:
install_requires = f.read().strip().split("\n")
try:
import concurrent.futures
except... | 0.393036 | 0.201263 |
import json
import os
from datetime import datetime
from logging import Logger
from typing import List
import qcore.constants as const
from qcore.utils import load_yaml
from scripts.management.MgmtDB import MgmtDB
from qcore.qclogging import get_basic_logger, NOPRINTCRITICAL
from scripts.schedulers.scheduler_factory i... | shared_workflow/shared_automated_workflow.py | import json
import os
from datetime import datetime
from logging import Logger
from typing import List
import qcore.constants as const
from qcore.utils import load_yaml
from scripts.management.MgmtDB import MgmtDB
from qcore.qclogging import get_basic_logger, NOPRINTCRITICAL
from scripts.schedulers.scheduler_factory i... | 0.730963 | 0.184915 |
"""parsing file/directory names."""
import re as _re
import datetime as _datetime
from collections import namedtuple as _namedtuple
SEP = "_"
ParseResult = _namedtuple("ParseResult", ("result", "remaining"))
class ParseError(ValueError):
def __init__(self, msg):
super().__init__(msg)
class Parse... | dope/parsing/__init__.py | """parsing file/directory names."""
import re as _re
import datetime as _datetime
from collections import namedtuple as _namedtuple
SEP = "_"
ParseResult = _namedtuple("ParseResult", ("result", "remaining"))
class ParseError(ValueError):
def __init__(self, msg):
super().__init__(msg)
class Parse... | 0.802633 | 0.21963 |
from .apis import Resource, reqparse
from ..imagebutler import rdb
from ..models import db, ImageModel, UserModel
from ..utils import user_identity_check
from ..job_workers import worker_undo_cached_redis
from werkzeug.datastructures import FileStorage
put_parser = reqparse.RequestParser()
put_parser.add_argument('us... | imagebutler/apis/image.py | from .apis import Resource, reqparse
from ..imagebutler import rdb
from ..models import db, ImageModel, UserModel
from ..utils import user_identity_check
from ..job_workers import worker_undo_cached_redis
from werkzeug.datastructures import FileStorage
put_parser = reqparse.RequestParser()
put_parser.add_argument('us... | 0.616705 | 0.07946 |
from alembic import op
from sqlalchemy.sql import table, column
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e7aff6447fbe'
down_revision = '7cdaa5513f2d'
branch_labels = None
depends_on = None
def upgrade():
bible_versions = table('bible_versions',
colu... | alembic/versions/e7aff6447fbe_add_books_column.py | from alembic import op
from sqlalchemy.sql import table, column
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e7aff6447fbe'
down_revision = '7cdaa5513f2d'
branch_labels = None
depends_on = None
def upgrade():
bible_versions = table('bible_versions',
colu... | 0.383064 | 0.266536 |
from tensorflow.keras.models import Model
from signal_screen_tools import add_zeros, change_last_activation_to_linear, normalise_array
import numpy as np
import tensorflow as tf
def calculate_occlusion_sensitivity(model: Model, data: np.ndarray, c: int, number_of_zeros=None):
"""
https://arxiv.org/abs/1311.2... | signal_screen.py | from tensorflow.keras.models import Model
from signal_screen_tools import add_zeros, change_last_activation_to_linear, normalise_array
import numpy as np
import tensorflow as tf
def calculate_occlusion_sensitivity(model: Model, data: np.ndarray, c: int, number_of_zeros=None):
"""
https://arxiv.org/abs/1311.2... | 0.890038 | 0.74872 |
# Copyright 2020 <NAME>
# License: Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from os import environ
from typing import NoReturn
import torch as th
import torch.distributed as dist
try:
import horovod.torch as hvd
hvd_available = True
except ImportError:
hvd_available = False
BACKEND = "non... | asr/cmd/aps/distributed/backend.py |
# Copyright 2020 <NAME>
# License: Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from os import environ
from typing import NoReturn
import torch as th
import torch.distributed as dist
try:
import horovod.torch as hvd
hvd_available = True
except ImportError:
hvd_available = False
BACKEND = "non... | 0.798698 | 0.182808 |
import os, glob
import torch, sys
from torch.utils.data import Dataset
from .data_utils import pkload
import matplotlib.pyplot as plt
import random
import numpy as np
class OASISBrainDataset(Dataset):
def __init__(self, data_path, transforms):
self.paths = data_path
self.transforms = t... | OASIS/TransMorph/data/datasets.py | import os, glob
import torch, sys
from torch.utils.data import Dataset
from .data_utils import pkload
import matplotlib.pyplot as plt
import random
import numpy as np
class OASISBrainDataset(Dataset):
def __init__(self, data_path, transforms):
self.paths = data_path
self.transforms = t... | 0.513668 | 0.381133 |
from sys import stderr, exit
import random
from TALinputs import TALinput
from multilanguage import Env, Lang, TALcolors
import triangle_lib as tl
# METADATA OF THIS TAL_SERVICE:
args_list = [
('big_n',int),
('small_n',int),
('MIN_VAL',int),
('MAX_VAL',int),
('display_big',bool),
('display_sma... | example_problems/tutorial/triangle/services/check_number_of_triangles_in_triangle_server.py | from sys import stderr, exit
import random
from TALinputs import TALinput
from multilanguage import Env, Lang, TALcolors
import triangle_lib as tl
# METADATA OF THIS TAL_SERVICE:
args_list = [
('big_n',int),
('small_n',int),
('MIN_VAL',int),
('MAX_VAL',int),
('display_big',bool),
('display_sma... | 0.199152 | 0.118283 |
# Standard library imports
import sys
# Third party imports
import qdarkstyle
from PySide2.QtCore import QPoint, Qt, QTimer, Slot
from PySide2.QtGui import QGuiApplication, QIcon, QPixmap
from PySide2.QtWidgets import (
QAction,
QApplication,
QMainWindow,
QMenu,
QProgressBar,
QSystemTrayIcon,
)... | main.py | # Standard library imports
import sys
# Third party imports
import qdarkstyle
from PySide2.QtCore import QPoint, Qt, QTimer, Slot
from PySide2.QtGui import QGuiApplication, QIcon, QPixmap
from PySide2.QtWidgets import (
QAction,
QApplication,
QMainWindow,
QMenu,
QProgressBar,
QSystemTrayIcon,
)... | 0.544317 | 0.13201 |
# -*- encoding: utf-8 -*-
import unittest, sys, os
from stat import *
# Make sure we test local classes first.
sys.path.insert(0, ".")
from acttools.KAR import *
from acttools import ssl
class KARTest(unittest.TestCase):
def test01KAPWrite(self):
kar = read_KAR(kar_file = "tests/dummy_kar.bin",
... | adminacttools/tests/test_kar.py |
# -*- encoding: utf-8 -*-
import unittest, sys, os
from stat import *
# Make sure we test local classes first.
sys.path.insert(0, ".")
from acttools.KAR import *
from acttools import ssl
class KARTest(unittest.TestCase):
def test01KAPWrite(self):
kar = read_KAR(kar_file = "tests/dummy_kar.bin",
... | 0.2676 | 0.299016 |
import re
import torch
import pytorch_lightning as pl
from transformers import (
BertTokenizer,
BertForSequenceClassification,
BertConfig,
get_constant_schedule_with_warmup,
get_constant_schedule,
)
from ..utils.util import accuracy_precision_recall_f1
def load_sst(path, tokenizer, lower=False):
... | diffmask/models/sentiment_classification_sst.py | import re
import torch
import pytorch_lightning as pl
from transformers import (
BertTokenizer,
BertForSequenceClassification,
BertConfig,
get_constant_schedule_with_warmup,
get_constant_schedule,
)
from ..utils.util import accuracy_precision_recall_f1
def load_sst(path, tokenizer, lower=False):
... | 0.844858 | 0.418281 |
from datetime import timedelta
"""
Django settings for app project.
Generated by 'django-admin startproject' using Django 3.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/... | app/app/settings.py | from datetime import timedelta
"""
Django settings for app project.
Generated by 'django-admin startproject' using Django 3.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/... | 0.611846 | 0.161386 |
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
from thrift.transport import TTransport
all_structs = []
class Token(object):
"""
Attributes:
- text
... | spacyThrift/ttypes.py |
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
from thrift.transport import TTransport
all_structs = []
class Token(object):
"""
Attributes:
- text
... | 0.25945 | 0.11928 |
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .utils import GTextToolbar
from PyQt5.QtWidgets import QWidget, QHBoxLayout, QVBoxLayout, QFrame, QComboBox, \
QCheckBox, QLineEdit, QPushButton, QLabel, QGridLayout, \
... | qas_editor/gui/forms.py | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .utils import GTextToolbar
from PyQt5.QtWidgets import QWidget, QHBoxLayout, QVBoxLayout, QFrame, QComboBox, \
QCheckBox, QLineEdit, QPushButton, QLabel, QGridLayout, \
... | 0.782205 | 0.13243 |
import gym
import gym_battleship_basic
import os
import numpy as np
import random
from keras.optimizers import Adam
from collections import deque
from tqdm import tqdm
from keras.layers import Input, Dense, Activation, ZeroPadding2D, BatchNormalization, Flatten, Conv2D
from keras.layers import AveragePooling2D, MaxPool... | agents/DoubleModel_DQN.py | import gym
import gym_battleship_basic
import os
import numpy as np
import random
from keras.optimizers import Adam
from collections import deque
from tqdm import tqdm
from keras.layers import Input, Dense, Activation, ZeroPadding2D, BatchNormalization, Flatten, Conv2D
from keras.layers import AveragePooling2D, MaxPool... | 0.750004 | 0.282388 |
import jmespath
class StackdriverParser():
''' A collection of functions for parsing Stackdriver log messages '''
@classmethod
def _is_auditlog(cls, message):
''' Check whether or not a log message is an audit log '''
audit_log_type = 'type.googleapis.com/google.cloud.audit.AuditLog'
... | app/lib/stackdriver.py |
import jmespath
class StackdriverParser():
''' A collection of functions for parsing Stackdriver log messages '''
@classmethod
def _is_auditlog(cls, message):
''' Check whether or not a log message is an audit log '''
audit_log_type = 'type.googleapis.com/google.cloud.audit.AuditLog'
... | 0.605916 | 0.177882 |
from asva.restoring_force.RestoringForce import RestoringForce
class Trilinear(RestoringForce):
def __init__(self, n1: int, n2: int, k0: float, a1: float, a2: float, fy1: float, fy2: float):
super().__init__(n1, n2, k0)
self.state = 0 # 状態
self.a1 = a1
self.a2 = a2
sel... | asva/restoring_force/Trilinear.py | from asva.restoring_force.RestoringForce import RestoringForce
class Trilinear(RestoringForce):
def __init__(self, n1: int, n2: int, k0: float, a1: float, a2: float, fy1: float, fy2: float):
super().__init__(n1, n2, k0)
self.state = 0 # 状態
self.a1 = a1
self.a2 = a2
sel... | 0.594904 | 0.442877 |
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import mixins, status, viewsets
from rest_framework.response import Response
from lego.apps.permissions.api.views import AllowedPermissionsMixin
from lego.apps.surveys.filters import SubmissionFilterSet
from lego.apps.surveys.models impo... | lego/apps/surveys/views.py | from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import mixins, status, viewsets
from rest_framework.response import Response
from lego.apps.permissions.api.views import AllowedPermissionsMixin
from lego.apps.surveys.filters import SubmissionFilterSet
from lego.apps.surveys.models impo... | 0.530723 | 0.13201 |
from __future__ import annotations
from enum import Enum
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class Account(BaseModel):
id: Optional[str] = Field(None, title="unique identifier")
organization_name: Optional[str] = Field(None, title="organization name")
orga... | src/pytailor/models.py |
from __future__ import annotations
from enum import Enum
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class Account(BaseModel):
id: Optional[str] = Field(None, title="unique identifier")
organization_name: Optional[str] = Field(None, title="organization name")
orga... | 0.830353 | 0.170715 |
import argparse
import concurrent.futures
import logging
import os
import re
import threading
import time
import cv2
import numpy as np
import tensorboardX
import torch
from scipy import ndimage
from robot import SimRobot
from trainer import Trainer
from utils import utils, viz
from utils.logger import Logger
clas... | main.py |
import argparse
import concurrent.futures
import logging
import os
import re
import threading
import time
import cv2
import numpy as np
import tensorboardX
import torch
from scipy import ndimage
from robot import SimRobot
from trainer import Trainer
from utils import utils, viz
from utils.logger import Logger
clas... | 0.562898 | 0.203055 |
import torch
from text_category.utils import build_dataset, build_dataset_for_test
from torch.utils.data import DataLoader, TensorDataset
def data_loader_base(temp_data, config):
temp_ids = torch.LongTensor([temp.input_id for temp in temp_data]).to(config.device)
temp_bigram = torch.LongTensor([temp.bigram_i... | text_category/data_loader.py |
import torch
from text_category.utils import build_dataset, build_dataset_for_test
from torch.utils.data import DataLoader, TensorDataset
def data_loader_base(temp_data, config):
temp_ids = torch.LongTensor([temp.input_id for temp in temp_data]).to(config.device)
temp_bigram = torch.LongTensor([temp.bigram_i... | 0.550849 | 0.639286 |
import logging
import sys
import threading
import unittest
from time import sleep
import importlib_resources
import mock
import numpy as np
from pepper.framework.application.intention import AbstractIntention
from pepper.framework.backend.abstract.microphone import AbstractMicrophone
from pepper.framework.backend.abs... | test/app_itest/test_resource.py | import logging
import sys
import threading
import unittest
from time import sleep
import importlib_resources
import mock
import numpy as np
from pepper.framework.application.intention import AbstractIntention
from pepper.framework.backend.abstract.microphone import AbstractMicrophone
from pepper.framework.backend.abs... | 0.369429 | 0.109515 |
from __future__ import print_function
import argparse
import logging
def parse_args():
# Parse command line arguments
parser = argparse.ArgumentParser()
parser.add_argument(
"--sample_file", help="Path to train or test txt file", type=str, required=True
)
parser.add_argument(
"--b... | scripts/filter_samples.py | from __future__ import print_function
import argparse
import logging
def parse_args():
# Parse command line arguments
parser = argparse.ArgumentParser()
parser.add_argument(
"--sample_file", help="Path to train or test txt file", type=str, required=True
)
parser.add_argument(
"--b... | 0.510496 | 0.127191 |
from __future__ import absolute_import, division, print_function
import concurrent
import matplotlib.pyplot as plt
import numpy as np
import os
import scipy.misc
import tensorflow as tf
# only keep warnings and errors
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'
from keras import backend as K
from sklearn.externals.si... | spoopy/tools/depth/monodepth_simple.py |
from __future__ import absolute_import, division, print_function
import concurrent
import matplotlib.pyplot as plt
import numpy as np
import os
import scipy.misc
import tensorflow as tf
# only keep warnings and errors
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '0'
from keras import backend as K
from sklearn.externals.si... | 0.754463 | 0.224671 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_tag_facts
short_description: Retrieve details of tag key definitions for a speci... | library/oci_tag_facts.py |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_tag_facts
short_description: Retrieve details of tag key definitions for a speci... | 0.735452 | 0.324048 |
import time
import psutil
from typing import List
from .types import SystemInfoType, SystemStatusType
from .common import find_line, find_value
class SystemInfo:
RPI_FILE = '/proc/device-tree/model'
CPU_FILE = '/proc/cpuinfo'
DIST_FILE = '/etc/os-release'
RPI_ERR = 'NOT a RPi System.'
CPU_ERR = ... | api/utils/system.py | import time
import psutil
from typing import List
from .types import SystemInfoType, SystemStatusType
from .common import find_line, find_value
class SystemInfo:
RPI_FILE = '/proc/device-tree/model'
CPU_FILE = '/proc/cpuinfo'
DIST_FILE = '/etc/os-release'
RPI_ERR = 'NOT a RPi System.'
CPU_ERR = ... | 0.517815 | 0.10325 |
import pytz
def get_units(unit):
if unit is 'us':
return {
'unit': 'us',
'nearestStormDistance': 'mph',
'precipIntensity': 'in/h',
'precipIntensityMax': 'in/h',
'precipAccumulation': 'in',
'temperature': 'F',
'temperature... | utils.py |
import pytz
def get_units(unit):
if unit is 'us':
return {
'unit': 'us',
'nearestStormDistance': 'mph',
'precipIntensity': 'in/h',
'precipIntensityMax': 'in/h',
'precipAccumulation': 'in',
'temperature': 'F',
'temperature... | 0.697609 | 0.467879 |
from glob import glob
import os
import shutil
import cv2
from random import randint
from tqdm import tqdm
from functools import reduce
DATASET_LOCATION = '/home/aspire/Downloads/RBL/English/Hnd/Img'
def save_variant(variant, img_path, prefix):
new_img_file_path = os.path.join(os.path.dirname(img_path), prefix +... | generate_dataset.py | from glob import glob
import os
import shutil
import cv2
from random import randint
from tqdm import tqdm
from functools import reduce
DATASET_LOCATION = '/home/aspire/Downloads/RBL/English/Hnd/Img'
def save_variant(variant, img_path, prefix):
new_img_file_path = os.path.join(os.path.dirname(img_path), prefix +... | 0.347537 | 0.096748 |
from enum import Enum
import struct
MASK_MAP = {}
for i in range(63):
v = 0
for j in range(i):
v |= (1 << j)
MASK_MAP[i] = v
class VariableLocation:
def __init__(self, address):
if not isinstance(address, int):
raise ValueError('Address must be a valid integer')
... | python/scrutiny/core/variable.py | from enum import Enum
import struct
MASK_MAP = {}
for i in range(63):
v = 0
for j in range(i):
v |= (1 << j)
MASK_MAP[i] = v
class VariableLocation:
def __init__(self, address):
if not isinstance(address, int):
raise ValueError('Address must be a valid integer')
... | 0.68056 | 0.285048 |
import tkinter as tk
import logging
from view.view import View
from model.model import Model
logger = logging.getLogger(__name__)
class Controller:
def __init__(self):
self.root = tk.Tk()
self.view = View(self.root, self)
# initialize states:
self.still_playing = True
sel... | src/controller.py | import tkinter as tk
import logging
from view.view import View
from model.model import Model
logger = logging.getLogger(__name__)
class Controller:
def __init__(self):
self.root = tk.Tk()
self.view = View(self.root, self)
# initialize states:
self.still_playing = True
sel... | 0.379148 | 0.191668 |
from flask import Flask, send_from_directory, request, Response
import os
import bcrypt
import pymongo
import jwt
import re
import datetime
import json
from bson.objectid import ObjectId
import numpy as np
from BKT import BKT
from AdaptiveTester import AdaptiveTester
# Use the dist/ directory as the static files dire... | WebApp/server/server.py | from flask import Flask, send_from_directory, request, Response
import os
import bcrypt
import pymongo
import jwt
import re
import datetime
import json
from bson.objectid import ObjectId
import numpy as np
from BKT import BKT
from AdaptiveTester import AdaptiveTester
# Use the dist/ directory as the static files dire... | 0.622574 | 0.131591 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from fivo import runner
# Shared flags.
tf.app.flags.DEFINE_enum("mode", "train",
["train", "eval", "sample"],
"The mode of the binary... | run_fivo.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from fivo import runner
# Shared flags.
tf.app.flags.DEFINE_enum("mode", "train",
["train", "eval", "sample"],
"The mode of the binary... | 0.722918 | 0.257648 |
from pathlib import Path
import numpy as np
import torch
from torch.nn import functional as nnfunc
from torchvision import transforms
from models.utils import get_bboxes
from utils.edge_detector import sobel
from utils.nms import nms, nms2
from pympler import asizeof
def print_state(idx, epoch, size, loss_cls, loss... | trainer.py | from pathlib import Path
import numpy as np
import torch
from torch.nn import functional as nnfunc
from torchvision import transforms
from models.utils import get_bboxes
from utils.edge_detector import sobel
from utils.nms import nms, nms2
from pympler import asizeof
def print_state(idx, epoch, size, loss_cls, loss... | 0.865238 | 0.479808 |
from sample import *
import time
import os
import functools
from pprint import pprint
from fft import Fft
from prune import *
import math
import multiprocessing
import sys
import statistics
import numpy
import csv
def runParallelTest(params):
header = params[0]
data = params[1]
test = params[2]... | src/py/testRunner.py | from sample import *
import time
import os
import functools
from pprint import pprint
from fft import Fft
from prune import *
import math
import multiprocessing
import sys
import statistics
import numpy
import csv
def runParallelTest(params):
header = params[0]
data = params[1]
test = params[2]... | 0.254139 | 0.146545 |
import subprocess
import time
import sys
import os
# REQUIRE:
# - current working directory is leveldb-1.22/
# - environment variables "CFS_ROOT_DIR", "MKFS_SPDK_BIN", "CFS_MAIN_BIN_NAME"
# - spdk has already taken over SSD
CFS_ROOT_DIR = os.environ['CFS_ROOT_DIR']
MKFS_SPDK_BIN = os.environ['MKFS_SPDK_BIN']
CFS_MAIN_... | leveldb-1.22/scripts/run_ldb_ufs.py | import subprocess
import time
import sys
import os
# REQUIRE:
# - current working directory is leveldb-1.22/
# - environment variables "CFS_ROOT_DIR", "MKFS_SPDK_BIN", "CFS_MAIN_BIN_NAME"
# - spdk has already taken over SSD
CFS_ROOT_DIR = os.environ['CFS_ROOT_DIR']
MKFS_SPDK_BIN = os.environ['MKFS_SPDK_BIN']
CFS_MAIN_... | 0.317532 | 0.143968 |
from __future__ import annotations
from typing import Optional
import math
import time
import logging
try:
from .config import configured_value
conf_time_scale = configured_value('grid.time_scale', .3)
conf_throw_ps = configured_value('grid.throw_ps', [1, 5, 15])
conf_min_dist = configured_value('gr... | newm/grid.py | from __future__ import annotations
from typing import Optional
import math
import time
import logging
try:
from .config import configured_value
conf_time_scale = configured_value('grid.time_scale', .3)
conf_throw_ps = configured_value('grid.throw_ps', [1, 5, 15])
conf_min_dist = configured_value('gr... | 0.796213 | 0.340924 |
import pygame
import sys
import time
import random
from network import Network
from food import Food
from game import Game
# Colors
black = pygame.Color(0, 0, 0)
white = pygame.Color(255, 255, 255)
red = pygame.Color(255, 0, 0)
green = pygame.Color(0, 255, 0)
blue = pygame.Color(0, 0, 255)
difficulty = 5
score = 0
f... | client.py | import pygame
import sys
import time
import random
from network import Network
from food import Food
from game import Game
# Colors
black = pygame.Color(0, 0, 0)
white = pygame.Color(255, 255, 255)
red = pygame.Color(255, 0, 0)
green = pygame.Color(0, 255, 0)
blue = pygame.Color(0, 0, 255)
difficulty = 5
score = 0
f... | 0.287868 | 0.241769 |