code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from django import forms
from django.core.exceptions import ValidationError
from apps.web.forms.bootstrap import BootStrapForm
from apps.web.models import Issues, ProjectUser, IssuesType, Module, IssuesReply, ProjectInvite
class IssuesModelForm(BootStrapForm, forms.ModelForm):
"""问题表单验证"""
class Meta:
... | apps/web/forms/issues.py | from django import forms
from django.core.exceptions import ValidationError
from apps.web.forms.bootstrap import BootStrapForm
from apps.web.models import Issues, ProjectUser, IssuesType, Module, IssuesReply, ProjectInvite
class IssuesModelForm(BootStrapForm, forms.ModelForm):
"""问题表单验证"""
class Meta:
... | 0.488527 | 0.085786 |
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from EtlPipeline.course_stats import get_earnings_unavail_text
from EtlPipeline.mappings.base import BaseMappings
from EtlPipeline.utils import get_earnings_agg_unavail_messages
class LeoInstit... | EtlPipeline/mappings/leo/institution.py | from typing import Any
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
from EtlPipeline.course_stats import get_earnings_unavail_text
from EtlPipeline.mappings.base import BaseMappings
from EtlPipeline.utils import get_earnings_agg_unavail_messages
class LeoInstit... | 0.817028 | 0.171616 |
import unittest
from fftoptionlib.characteristic_funs import (
black_schole_log_st_chf,
merton_jump_log_st_chf,
poisson_log_st_chf,
diffusion_chf,
cpp_normal_chf,
kou_jump_log_st_chf,
double_exponential_chf,
poisson_chf,
vg_log_st_chf,
nig_log_st_chf,
)
from fftoptionlib.moment_... | tests/test_moment_generating_funs.py | import unittest
from fftoptionlib.characteristic_funs import (
black_schole_log_st_chf,
merton_jump_log_st_chf,
poisson_log_st_chf,
diffusion_chf,
cpp_normal_chf,
kou_jump_log_st_chf,
double_exponential_chf,
poisson_chf,
vg_log_st_chf,
nig_log_st_chf,
)
from fftoptionlib.moment_... | 0.602179 | 0.502808 |
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
from torch import nn
from torch.autograd import Variable
from torch.nn.utils.clip_grad import clip_grad_norm_
import training.ln_lstm as lstm
from captum.attr import LayerIntegratedGradients
class SeqLSTM(nn.Module):
"""
Hi... | src/training/model.py | import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
from torch import nn
from torch.autograd import Variable
from torch.nn.utils.clip_grad import clip_grad_norm_
import training.ln_lstm as lstm
from captum.attr import LayerIntegratedGradients
class SeqLSTM(nn.Module):
"""
Hi... | 0.912913 | 0.285914 |
import copy
import os
import time
import logging
import wget
from mmdet.apis import init_detector, inference_detector
import cv2 as cv
from teacher_meta_arch import TeacherMetaArch
import torch
import numpy as np
class IterDet(TeacherMetaArch):
""" IterDet object detection model"""
def __init__(self, config)... | applications/adaptive-learning/teachers/iterdet.py | import copy
import os
import time
import logging
import wget
from mmdet.apis import init_detector, inference_detector
import cv2 as cv
from teacher_meta_arch import TeacherMetaArch
import torch
import numpy as np
class IterDet(TeacherMetaArch):
""" IterDet object detection model"""
def __init__(self, config)... | 0.734881 | 0.234089 |
from django.test import TestCase
from django.test.client import RequestFactory
from django.test import Client
from django.urls import reverse
from tests.factories.gbe_factories import (
ClassFactory,
ConferenceFactory,
ConferenceDayFactory,
ProfileFactory,
RoomFactory,
)
from scheduler.models import... | tests/gbe/scheduling/test_copy_staff_area_view.py | from django.test import TestCase
from django.test.client import RequestFactory
from django.test import Client
from django.urls import reverse
from tests.factories.gbe_factories import (
ClassFactory,
ConferenceFactory,
ConferenceDayFactory,
ProfileFactory,
RoomFactory,
)
from scheduler.models import... | 0.461745 | 0.226784 |
import os
import sys
from distutils.version import StrictVersion
import click
from .config import DEFAULT_VERSIONS, SERVICES
def _set_default_env(services_version, default_version):
"""Set environmental variable value if it does not exist."""
os.environ[services_version] = os.environ.get(
services_v... | docker_services_cli/env.py | import os
import sys
from distutils.version import StrictVersion
import click
from .config import DEFAULT_VERSIONS, SERVICES
def _set_default_env(services_version, default_version):
"""Set environmental variable value if it does not exist."""
os.environ[services_version] = os.environ.get(
services_v... | 0.377311 | 0.130507 |
import pandas as pd
import numpy as np
class Indicators:
def __init__(self):
self._moving_average_table = {'ma': self._ma, 'ema': self._ema} # add to the list if a new moving average is programmed
def _ema(self, inp, length):
assert isinstance(inp, list) or isinstance(inp, np.ndarray)
... | rltbt/indicators.py | import pandas as pd
import numpy as np
class Indicators:
def __init__(self):
self._moving_average_table = {'ma': self._ma, 'ema': self._ema} # add to the list if a new moving average is programmed
def _ema(self, inp, length):
assert isinstance(inp, list) or isinstance(inp, np.ndarray)
... | 0.385953 | 0.400573 |
import threading
import queue
import time
import logging
from lora_multihop import variables
__author__ = "<NAME>"
ser = None
logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-9s) %(message)s', )
BUF_SIZE = 100
writing_q = queue.Queue(BUF_SIZE)
BUF_SIZE = 1000
response_q = queue.Queue(BUF_SIZE)
BUF_S... | src/lora_multihop/serial_connection.py | import threading
import queue
import time
import logging
from lora_multihop import variables
__author__ = "<NAME>"
ser = None
logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-9s) %(message)s', )
BUF_SIZE = 100
writing_q = queue.Queue(BUF_SIZE)
BUF_SIZE = 1000
response_q = queue.Queue(BUF_SIZE)
BUF_S... | 0.53777 | 0.144813 |
import inspect
from abc import abstractmethod
from copy import deepcopy
from typing import Optional, List, Union
import numpy as np
import tensorflow as tf
from keras import backend as K
from deeppavlov.core.models.nn_model import NNModel
from deeppavlov.core.common.log import get_logger
from deeppavlov.core.models.... | deeppavlov/core/models/keras_model.py |
import inspect
from abc import abstractmethod
from copy import deepcopy
from typing import Optional, List, Union
import numpy as np
import tensorflow as tf
from keras import backend as K
from deeppavlov.core.models.nn_model import NNModel
from deeppavlov.core.common.log import get_logger
from deeppavlov.core.models.... | 0.929376 | 0.258139 |
import math
from typing import Dict
import numpy as np
import matplotlib.pyplot as plt
from pedrec.configs.dataset_configs import get_pedrec_dataset_cfg_default
from pedrec.configs.pedrec_net_config import PedRecNet50Config
from pedrec.datasets.pedrec_dataset import PedRecDataset
from pedrec.models.constants.dataset_... | pedrec/tools/debugging/debug_orientation_issues.py | import math
from typing import Dict
import numpy as np
import matplotlib.pyplot as plt
from pedrec.configs.dataset_configs import get_pedrec_dataset_cfg_default
from pedrec.configs.pedrec_net_config import PedRecNet50Config
from pedrec.datasets.pedrec_dataset import PedRecDataset
from pedrec.models.constants.dataset_... | 0.788176 | 0.424949 |
import numpy as np
from falass import readwrite, dataformat
import os
class Job():
"""The catch all.
This class is used for setting up the falass job -- and is generally a catch all for inputs that do not fit into
other parts.
Parameters
----------
files: falass.readwrite.Files
A Fil... | falass/job.py | import numpy as np
from falass import readwrite, dataformat
import os
class Job():
"""The catch all.
This class is used for setting up the falass job -- and is generally a catch all for inputs that do not fit into
other parts.
Parameters
----------
files: falass.readwrite.Files
A Fil... | 0.656768 | 0.500244 |
import Standard
import Utils
import pandas
import math
import FAIRNessInfo
import Config
import imgkit
import os
class StandardsUtils:
UTILS = Utils.Utils()
def __init__(self, input_file):
self.INPUT_FILE = input_file
def generate_standards_images(self):
standards = []
excel_data... | main.py | import Standard
import Utils
import pandas
import math
import FAIRNessInfo
import Config
import imgkit
import os
class StandardsUtils:
UTILS = Utils.Utils()
def __init__(self, input_file):
self.INPUT_FILE = input_file
def generate_standards_images(self):
standards = []
excel_data... | 0.232223 | 0.10316 |
def save_ngram_index(ngram_index_file, hash2id, result_tf,
result_df, result_rtf, result_rdf,
seen_rev, hash2rev, ngram2kmerann):
''' Write ngram index.
Format: id, rev_id, hash, rev_hash, tf, df, etf, edf.
etf and edf are tf and df taking into account... | trseeker/seqio/ngram_file.py | def save_ngram_index(ngram_index_file, hash2id, result_tf,
result_df, result_rtf, result_rdf,
seen_rev, hash2rev, ngram2kmerann):
''' Write ngram index.
Format: id, rev_id, hash, rev_hash, tf, df, etf, edf.
etf and edf are tf and df taking into account... | 0.197599 | 0.245424 |
import shutil
import pandas as pd
import pytest
from ramp_utils import read_config
from ramp_utils.testing import database_config_template
from ramp_utils.testing import ramp_config_template
from ramp_database.utils import check_password
from ramp_database.utils import setup_db
from ramp_database.utils import sessio... | ramp-database/ramp_database/tools/tests/test_user.py | import shutil
import pandas as pd
import pytest
from ramp_utils import read_config
from ramp_utils.testing import database_config_template
from ramp_utils.testing import ramp_config_template
from ramp_database.utils import check_password
from ramp_database.utils import setup_db
from ramp_database.utils import sessio... | 0.408395 | 0.209046 |
import inspect
import functools
import asyncio
import typing as t
import contextlib
import types
from .module import Module
from .util import isasync
FuncType = t.Callable[..., t.Any]
Decorator = t.Callable[[FuncType], FuncType]
UNSET = inspect.Parameter.empty
class NoProvider(RuntimeError):
pass
class Inje... | diana/injector.py | import inspect
import functools
import asyncio
import typing as t
import contextlib
import types
from .module import Module
from .util import isasync
FuncType = t.Callable[..., t.Any]
Decorator = t.Callable[[FuncType], FuncType]
UNSET = inspect.Parameter.empty
class NoProvider(RuntimeError):
pass
class Inje... | 0.692226 | 0.265863 |
import sys
import json
import os
if len(sys.argv) < 3:
printf("Usage: {} <output.cpp> <a.json> [b.json] [...]")
sys.exit(1)
READER_VERSION = 1
languages = {}
for i in sys.argv[2:]:
with open(i) as f:
d = json.load(f)
if d["version"] != READER_VERSION:
printf("Version ({}) doe... | src/info/language/language.py | import sys
import json
import os
if len(sys.argv) < 3:
printf("Usage: {} <output.cpp> <a.json> [b.json] [...]")
sys.exit(1)
READER_VERSION = 1
languages = {}
for i in sys.argv[2:]:
with open(i) as f:
d = json.load(f)
if d["version"] != READER_VERSION:
printf("Version ({}) doe... | 0.21215 | 0.099252 |
import numpy as np
import pytest
from scipy import sparse
from qutip import data
def test_init_empty_data():
shape = (3, 3)
base_data = data.Data(shape)
assert base_data.shape[0] == shape[0]
assert base_data.shape[1] == shape[1]
@pytest.mark.parametrize(['base', 'dtype'], [
pytest.param(data.den... | qutip/tests/core/data/test_convert.py | import numpy as np
import pytest
from scipy import sparse
from qutip import data
def test_init_empty_data():
shape = (3, 3)
base_data = data.Data(shape)
assert base_data.shape[0] == shape[0]
assert base_data.shape[1] == shape[1]
@pytest.mark.parametrize(['base', 'dtype'], [
pytest.param(data.den... | 0.674479 | 0.806738 |
import sys
import argparse
arg_no = len(sys.argv)
tool_parser = argparse.ArgumentParser(add_help=False)
tool_subparsers = tool_parser.add_subparsers(help='commands', dest='command')
# The edit command.
edit_parser = tool_subparsers.add_parser('edit', help='edit a POSIX group')
group0_parser = edit_parser.add_argume... | cog/cli/group_argparser.py |
import sys
import argparse
arg_no = len(sys.argv)
tool_parser = argparse.ArgumentParser(add_help=False)
tool_subparsers = tool_parser.add_subparsers(help='commands', dest='command')
# The edit command.
edit_parser = tool_subparsers.add_parser('edit', help='edit a POSIX group')
group0_parser = edit_parser.add_argume... | 0.313105 | 0.048003 |
import os
import tempfile
import re
import shutil
import requests
import io
import urllib
from mitmproxy.net import tcp
from mitmproxy.test import tutils
from pathod import language
from pathod import pathoc
from pathod import pathod
from pathod import test
from pathod.pathod import CA_CERT_NAME
def treader(bytes)... | test/pathod/tservers.py | import os
import tempfile
import re
import shutil
import requests
import io
import urllib
from mitmproxy.net import tcp
from mitmproxy.test import tutils
from pathod import language
from pathod import pathoc
from pathod import pathod
from pathod import test
from pathod.pathod import CA_CERT_NAME
def treader(bytes)... | 0.369656 | 0.066085 |
try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup, find_packages
import {{ cookiecutter.project_slug }}
with open("README.md") as readme_file:
readme = readme_file.read()
with open("CHANGELOG.md") as changelog_file:
changelog = changelog_file.read(... | {{cookiecutter.project_name}}/setup.py | try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup, find_packages
import {{ cookiecutter.project_slug }}
with open("README.md") as readme_file:
readme = readme_file.read()
with open("CHANGELOG.md") as changelog_file:
changelog = changelog_file.read(... | 0.575827 | 0.234648 |
import pandas as pd
import rpy2.robjects as robjects
from rpy2.robjects import pandas2ri, Formula, conversion
pandas2ri.activate()
from rpy2.robjects.packages import importr
import numpy as np
deseq = importr('DESeq2')
'''
Adopted from: https://stackoverflow.com/questions/41821100/running-deseq2-through-rpy2
'''
to_da... | neals_python_functions/analysis/deseq2.py | import pandas as pd
import rpy2.robjects as robjects
from rpy2.robjects import pandas2ri, Formula, conversion
pandas2ri.activate()
from rpy2.robjects.packages import importr
import numpy as np
deseq = importr('DESeq2')
'''
Adopted from: https://stackoverflow.com/questions/41821100/running-deseq2-through-rpy2
'''
to_da... | 0.530236 | 0.541833 |
import polars as pl
import functools as ft
from .utils import _as_list, _col_expr
__all__ = [
"paste",
"paste0",
"str_c",
"str_detect",
"str_extract",
"str_length",
"str_remove_all",
"str_remove",
"str_replace_all",
"str_replace",
"str_ends",
"str_starts",
"str_s... | tidypolars/stringr.py | import polars as pl
import functools as ft
from .utils import _as_list, _col_expr
__all__ = [
"paste",
"paste0",
"str_c",
"str_detect",
"str_extract",
"str_length",
"str_remove_all",
"str_remove",
"str_replace_all",
"str_replace",
"str_ends",
"str_starts",
"str_s... | 0.775095 | 0.418608 |
def no_args():
pass
no_args()
try:
no_args('one_arg')
except TypeError:
pass
else:
assert False, 'no TypeError raised: 1 arg to no_args'
try:
no_args(kw='should fail')
except TypeError:
pass
else:
assert False, 'no TypeError raised: kwarg to no_args'
def one_arg(arg):
return arg
on... | tests/snippets/func_defaults.py | def no_args():
pass
no_args()
try:
no_args('one_arg')
except TypeError:
pass
else:
assert False, 'no TypeError raised: 1 arg to no_args'
try:
no_args(kw='should fail')
except TypeError:
pass
else:
assert False, 'no TypeError raised: kwarg to no_args'
def one_arg(arg):
return arg
on... | 0.277375 | 0.431345 |
from db import get_db
def get_status():
food_data = get_db().execute(
'SELECT id, timestamp, type, quantity'
' FROM food'
' ORDER BY timestamp DESC'
).fetchone()
aquarium_data = get_db().execute(
'SELECT id, timestamp, default_mode, total_food_quantity'
' FROM aqua... | flaskr/status.py | from db import get_db
def get_status():
food_data = get_db().execute(
'SELECT id, timestamp, type, quantity'
' FROM food'
' ORDER BY timestamp DESC'
).fetchone()
aquarium_data = get_db().execute(
'SELECT id, timestamp, default_mode, total_food_quantity'
' FROM aqua... | 0.402392 | 0.101056 |
import unittest
from openprocurement.api.tests.base import snitch
from openprocurement.tender.belowthreshold.tests.base import test_lots, test_author
from openprocurement.tender.belowthreshold.tests.chronograph_blanks import (
# TenderSwitch0BidResourceTest
switch_to_unsuccessful,
# TenderSwitch1BidResour... | src/openprocurement/tender/openuadefense/tests/chronograph.py | import unittest
from openprocurement.api.tests.base import snitch
from openprocurement.tender.belowthreshold.tests.base import test_lots, test_author
from openprocurement.tender.belowthreshold.tests.chronograph_blanks import (
# TenderSwitch0BidResourceTest
switch_to_unsuccessful,
# TenderSwitch1BidResour... | 0.359364 | 0.512266 |
import os
import pathlib
import click
from nilearn.image import resample_to_img
from nilearn.masking import apply_mask
from ..base import MetaResult
from ..meta.ibma import rfx_glm
from ..meta.cbma import Peaks2MapsKernel
from ..io import convert_sleuth_to_dataset
n_iters_default = 10000
@click.command(name='peaks2... | nimare/workflows/peaks2maps.py | import os
import pathlib
import click
from nilearn.image import resample_to_img
from nilearn.masking import apply_mask
from ..base import MetaResult
from ..meta.ibma import rfx_glm
from ..meta.cbma import Peaks2MapsKernel
from ..io import convert_sleuth_to_dataset
n_iters_default = 10000
@click.command(name='peaks2... | 0.401688 | 0.211865 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | SalishSeaTools/salishsea_tools/visualisations.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the ... | 0.914479 | 0.565479 |
import unittest
import subprocess
from . import server
class ClientHelperMixin(object):
"""
Helper methods involving the client for server tests
"""
def runClientCmd(self, client, command, arguments=""):
try:
client.runCommand(command, arguments)
except subprocess.CalledPr... | tests/end_to_end/server_test.py | import unittest
import subprocess
from . import server
class ClientHelperMixin(object):
"""
Helper methods involving the client for server tests
"""
def runClientCmd(self, client, command, arguments=""):
try:
client.runCommand(command, arguments)
except subprocess.CalledPr... | 0.487063 | 0.274048 |
import datetime
from sqlalchemy import or_
from lib.util_sqlalchemy import ResourceMixin
from coder.extensions import db
from coder.blueprints.billing.models.credit_card import CreditCard
from coder.blueprints.billing.models.coupon import Coupon
from coder.blueprints.billing.gateways.stripecom import (
Customer a... | coder/blueprints/billing/models/invoice.py | import datetime
from sqlalchemy import or_
from lib.util_sqlalchemy import ResourceMixin
from coder.extensions import db
from coder.blueprints.billing.models.credit_card import CreditCard
from coder.blueprints.billing.models.coupon import Coupon
from coder.blueprints.billing.gateways.stripecom import (
Customer a... | 0.725746 | 0.140956 |
import sys
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
from diffpy.utils.parsers.loaddata import loadData
DPI = 300
FIGSIZE = (8,4)
FONTSIZE = 12
LINEWIDTH = 1
COLORS = dict(bg_blue='#0B3C5D', bg_red='#B82601', bg_green='#1c6b0a',
bg_lightblue='#328CC1', bg_darkblue='#062F... | iq_sq_fq_gr_plot/iq_sq_fq_gr_plot.py | import sys
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
from diffpy.utils.parsers.loaddata import loadData
DPI = 300
FIGSIZE = (8,4)
FONTSIZE = 12
LINEWIDTH = 1
COLORS = dict(bg_blue='#0B3C5D', bg_red='#B82601', bg_green='#1c6b0a',
bg_lightblue='#328CC1', bg_darkblue='#062F... | 0.213459 | 0.379781 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from ydb.public.api.protos import ydb_table_pb2 as ydb_dot_public_dot_api_dot_protos_dot_ydb__table__pb2
class TableServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, c... | ydb/public/api/grpc/ydb_table_v1_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
from ydb.public.api.protos import ydb_table_pb2 as ydb_dot_public_dot_api_dot_protos_dot_ydb__table__pb2
class TableServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, c... | 0.763043 | 0.079961 |
terminalcolors = {"OKGREEN": '\033[92m',
"WARNING": '\033[93m',
"FAIL": '\033[91m',
"ENDC": '\033[0m'}
version = "0.1"
cmdList = {
"fr": {"args": ["ni", "nt", "theta_i"], "types": ["float", "float", "float"], "desc": "Find fresnal coef and return refractive ang... | color.py | terminalcolors = {"OKGREEN": '\033[92m',
"WARNING": '\033[93m',
"FAIL": '\033[91m',
"ENDC": '\033[0m'}
version = "0.1"
cmdList = {
"fr": {"args": ["ni", "nt", "theta_i"], "types": ["float", "float", "float"], "desc": "Find fresnal coef and return refractive ang... | 0.125802 | 0.273753 |
import os
from unittest.case import TestCase
from PIL import Image
from raytracer.Camera import Camera
from raytracer.Lights import Sun, Ambient, Point
from raytracer.Materials import BLUE_GLOSSY, ORANGE_GLOSSY, GRAY_MATTE, GRAY_GLOSSY, ORANGE_MATTE, MIRROR_GLOSSY, \
BLUE_MATTE
from raytracer.Objects import Spher... | tests/tests.py | import os
from unittest.case import TestCase
from PIL import Image
from raytracer.Camera import Camera
from raytracer.Lights import Sun, Ambient, Point
from raytracer.Materials import BLUE_GLOSSY, ORANGE_GLOSSY, GRAY_MATTE, GRAY_GLOSSY, ORANGE_MATTE, MIRROR_GLOSSY, \
BLUE_MATTE
from raytracer.Objects import Spher... | 0.453988 | 0.416263 |
import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = [
"PPLCNet_x0_25", "PPLCNet_x0_35", "PPLCNet_x0_5", "PPLCNet_x0_75", "PPLCNet_x1_0",
"PPLCNet_x1_5", "PPLCNet_x2_0", "PPLCNet_x2_5"
]
'''
NET_CONFIG = {
"blocks2":
#k, in_c, out_c, s, use_se
[[3, 16, 32, 1, False]],
"... | isegm/model/modeling/ppclnet/backbone.py | import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = [
"PPLCNet_x0_25", "PPLCNet_x0_35", "PPLCNet_x0_5", "PPLCNet_x0_75", "PPLCNet_x1_0",
"PPLCNet_x1_5", "PPLCNet_x2_0", "PPLCNet_x2_5"
]
'''
NET_CONFIG = {
"blocks2":
#k, in_c, out_c, s, use_se
[[3, 16, 32, 1, False]],
"... | 0.895697 | 0.362969 |
from functools import reduce
import logging
from operator import mul
from os.path import join as pjoin
import numpy as np
from africanus.rime.predict import (PREDICT_DOCS, predict_checks)
from africanus.util.code import format_code, memoize_on_key
from africanus.util.cuda import cuda_type, grids
from africanus.util... | africanus/rime/cuda/predict.py |
from functools import reduce
import logging
from operator import mul
from os.path import join as pjoin
import numpy as np
from africanus.rime.predict import (PREDICT_DOCS, predict_checks)
from africanus.util.code import format_code, memoize_on_key
from africanus.util.cuda import cuda_type, grids
from africanus.util... | 0.620737 | 0.227158 |
def isEnglish(s):
try:
s.encode(encoding='utf-8').decode('ascii')
except UnicodeDecodeError:
return False
else:
return True
def isUppercase(s):
return s.isupper()
def isNumberConstraints(n):
if 0 <= n <= 2147483647:
return True
else :
return False
def ch... | Question04.py | def isEnglish(s):
try:
s.encode(encoding='utf-8').decode('ascii')
except UnicodeDecodeError:
return False
else:
return True
def isUppercase(s):
return s.isupper()
def isNumberConstraints(n):
if 0 <= n <= 2147483647:
return True
else :
return False
def ch... | 0.194942 | 0.307176 |
from typing import Optional
from numpy import dtype, ndarray, array, vstack
class Report:
"""Report class.
Stores user-defined information for print to ``sys.stdout``.
Parameters
----------
name
Name of the instance.
sep
Separation between printed columns. The default is 2... | araucaria/main/report.py | from typing import Optional
from numpy import dtype, ndarray, array, vstack
class Report:
"""Report class.
Stores user-defined information for print to ``sys.stdout``.
Parameters
----------
name
Name of the instance.
sep
Separation between printed columns. The default is 2... | 0.932875 | 0.324878 |
import filecmp
import os, sys, traceback
import json
import uuid
import urlparse
from nose.tools import assert_raises
import tempfile
import shutil
from synapseclient.exceptions import *
import synapseclient
import synapseclient.utils as utils
from synapseclient.utils import MB, GB
from synapseclient import Activity,... | tests/integration/test_sftp_upload.py | import filecmp
import os, sys, traceback
import json
import uuid
import urlparse
from nose.tools import assert_raises
import tempfile
import shutil
from synapseclient.exceptions import *
import synapseclient
import synapseclient.utils as utils
from synapseclient.utils import MB, GB
from synapseclient import Activity,... | 0.107461 | 0.116186 |
import json
import os
import os.path
import re
import shutil
import stat
import urllib.parse
#@<> INCLUDE dump_utils.inc
#@<> deploy sandbox
testutil.deploy_raw_sandbox(__mysql_sandbox_port1, "root")
shell.connect(__sandbox_uri1)
dumpdir = os.path.join(__tmp_dir, "dumptests")
shutil.rmtree(dumpdir, True)
os.makedir... | unittest/scripts/auto/py_shell/scripts/util_dump_instance_corners_norecord.py | import json
import os
import os.path
import re
import shutil
import stat
import urllib.parse
#@<> INCLUDE dump_utils.inc
#@<> deploy sandbox
testutil.deploy_raw_sandbox(__mysql_sandbox_port1, "root")
shell.connect(__sandbox_uri1)
dumpdir = os.path.join(__tmp_dir, "dumptests")
shutil.rmtree(dumpdir, True)
os.makedir... | 0.197793 | 0.18628 |
import io
import os
import re
import tarfile
import tempfile
from .fnmatch import fnmatch
from ..constants import IS_WINDOWS_PLATFORM
_SEP = re.compile('/|\\\\') if IS_WINDOWS_PLATFORM else re.compile('/')
def tar(path, exclude=None, dockerfile=None, fileobj=None, gzip=False):
root = os.path.abspath(path)
... | docker/utils/build.py | import io
import os
import re
import tarfile
import tempfile
from .fnmatch import fnmatch
from ..constants import IS_WINDOWS_PLATFORM
_SEP = re.compile('/|\\\\') if IS_WINDOWS_PLATFORM else re.compile('/')
def tar(path, exclude=None, dockerfile=None, fileobj=None, gzip=False):
root = os.path.abspath(path)
... | 0.424173 | 0.13733 |
import yaml
import subprocess
import sys
import getopt
import json
help_message = """access-control.py -k <apiKey> -f <access-bindings-file>
-k, --apiKey apikey from the IBM Cloud IAM
-b, --access-bindings access binding file which contains the users and the access controls(groups)... | scripts/access-control/access-control.py |
import yaml
import subprocess
import sys
import getopt
import json
help_message = """access-control.py -k <apiKey> -f <access-bindings-file>
-k, --apiKey apikey from the IBM Cloud IAM
-b, --access-bindings access binding file which contains the users and the access controls(groups)... | 0.203035 | 0.07024 |
import micropsi_core.tools
__author__ = 'joscha'
__date__ = '09.05.12'
class NetEntity(object):
"""The basic building blocks of node nets.
Attributes:
uid: the unique identifier of the net entity
index: an attempt at creating an ordering criterion for net entities
name: a human reada... | micropsi_core/nodenet/dict_engine/dict_netentity.py | import micropsi_core.tools
__author__ = 'joscha'
__date__ = '09.05.12'
class NetEntity(object):
"""The basic building blocks of node nets.
Attributes:
uid: the unique identifier of the net entity
index: an attempt at creating an ordering criterion for net entities
name: a human reada... | 0.848188 | 0.327265 |
import time
import json
class Head:
def __init__(self):
self._next = self
class Entry:
def __init__(self, cache, stringified, value):
self._cache = cache
self._stringified = stringified
self.when = time.time()
self._next = cache._head._next
self._previous = cach... | python/cache.py | import time
import json
class Head:
def __init__(self):
self._next = self
class Entry:
def __init__(self, cache, stringified, value):
self._cache = cache
self._stringified = stringified
self.when = time.time()
self._next = cache._head._next
self._previous = cach... | 0.573798 | 0.082475 |
import click
import json
from pathlib import Path
import os
import requests
from datetime import datetime
import boto3
from urllib.parse import unquote_plus
from coach import *
__API__ = 'https://9fqai4xymb.execute-api.us-east-1.amazonaws.com/latest'
class CoachApi:
def __init__(self, api, key, s... | main.py | import click
import json
from pathlib import Path
import os
import requests
from datetime import datetime
import boto3
from urllib.parse import unquote_plus
from coach import *
__API__ = 'https://9fqai4xymb.execute-api.us-east-1.amazonaws.com/latest'
class CoachApi:
def __init__(self, api, key, s... | 0.343342 | 0.083106 |
import math
from ..annotationsexc import SmallSizeInputError
# ----------------------------------------------------------------------------
BIG_NUMBER = 32764
# ----------------------------------------------------------------------------
def octave(value):
return math.log(value) / math.log(2)
# --------------... | sppas/sppas/src/annotations/Intsint/intsint.py | import math
from ..annotationsexc import SmallSizeInputError
# ----------------------------------------------------------------------------
BIG_NUMBER = 32764
# ----------------------------------------------------------------------------
def octave(value):
return math.log(value) / math.log(2)
# --------------... | 0.790247 | 0.36977 |
import urllib3
from html.parser import HTMLParser
from datetime import datetime
import pandas as pd
import os
import time
import sys
import traceback
class ETFParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.was_row = False
self.was_label = False
self.was_labe... | etf_scrapper.py | import urllib3
from html.parser import HTMLParser
from datetime import datetime
import pandas as pd
import os
import time
import sys
import traceback
class ETFParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.was_row = False
self.was_label = False
self.was_labe... | 0.079268 | 0.05549 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import socket
from ansible.module_utils.six import StringIO
from ansible.module_utils.six.moves.http_cookiejar import Cookie
from ansible.module_utils.six.moves.http_client import HTTPMessage
from ansible.module_utils.urls import f... | test/units/module_utils/urls/test_fetch_url.py |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import socket
from ansible.module_utils.six import StringIO
from ansible.module_utils.six.moves.http_cookiejar import Cookie
from ansible.module_utils.six.moves.http_client import HTTPMessage
from ansible.module_utils.urls import f... | 0.751557 | 0.175044 |
import sys
import logging
import socket
import json
APP_LOGGER_NAME = 'avio'
DEFAULT_LOGGER_LEVEL = 'INFO'
app_logger = logging.getLogger(APP_LOGGER_NAME)
def configure_app_logger(logger_config: dict = None) -> logging.Logger:
"""
:param logger_config: {
'level': 'INFO',
'use_json_formatter... | avio/log.py | import sys
import logging
import socket
import json
APP_LOGGER_NAME = 'avio'
DEFAULT_LOGGER_LEVEL = 'INFO'
app_logger = logging.getLogger(APP_LOGGER_NAME)
def configure_app_logger(logger_config: dict = None) -> logging.Logger:
"""
:param logger_config: {
'level': 'INFO',
'use_json_formatter... | 0.54359 | 0.100128 |
from tkinter import *
import main_v201
from tkinter import messagebox
root01 = Tk()
#root01.title(main_v201.t00)
root01.geometry("500x300")
root01.resizable(0, 0)
f00 = Frame(root01, bg='gray54', width=500, height=300)
f1 = Frame(root01, bg='gray54', width=500, height=300)
f2 = Frame(root01, bg='gray54', width=500, h... | GUI.py | from tkinter import *
import main_v201
from tkinter import messagebox
root01 = Tk()
#root01.title(main_v201.t00)
root01.geometry("500x300")
root01.resizable(0, 0)
f00 = Frame(root01, bg='gray54', width=500, height=300)
f1 = Frame(root01, bg='gray54', width=500, height=300)
f2 = Frame(root01, bg='gray54', width=500, h... | 0.335895 | 0.158369 |
__author__ = "<NAME> <<EMAIL>>"
# Standard library
import httplib
import json
import os
import urllib
from collections import Counter
# Module specific
import ads
# Couple of mutable variables for the reader
author_query = "^Casey, <NAME>."
records_filename = "citations.json"
papers = ads.search(author_query)
# H... | examples/beers-for-cites.py |
__author__ = "<NAME> <<EMAIL>>"
# Standard library
import httplib
import json
import os
import urllib
from collections import Counter
# Module specific
import ads
# Couple of mutable variables for the reader
author_query = "^Casey, <NAME>."
records_filename = "citations.json"
papers = ads.search(author_query)
# H... | 0.311532 | 0.162912 |
import inspect
import os
import platform
import requests
from requests import Response
from konduto import VERSION
from konduto.api.clients import KondutoHttpClient
from konduto.api.clients.v1.order import KondutoOrderClient
from konduto.api.clients.v1.restrict_list import KondutoRestrictClient
from konduto.infrastru... | konduto/api/__init__.py | import inspect
import os
import platform
import requests
from requests import Response
from konduto import VERSION
from konduto.api.clients import KondutoHttpClient
from konduto.api.clients.v1.order import KondutoOrderClient
from konduto.api.clients.v1.restrict_list import KondutoRestrictClient
from konduto.infrastru... | 0.631935 | 0.080719 |
from __future__ import absolute_import
import abc
import collections
import six
import time
from elementium.exc import TimeOutError
from elementium.util import (
DEFAULT_TTL,
ignored
)
from elementium.waiters import ConditionElementsWaiter
__author__ = "<NAME>"
__email__ = "<EMAIL>"
@six.add_metaclass(abc... | elementium/elements.py | from __future__ import absolute_import
import abc
import collections
import six
import time
from elementium.exc import TimeOutError
from elementium.util import (
DEFAULT_TTL,
ignored
)
from elementium.waiters import ConditionElementsWaiter
__author__ = "<NAME>"
__email__ = "<EMAIL>"
@six.add_metaclass(abc... | 0.875853 | 0.268051 |
import numpy
from discrete_fuzzy_operators.base.operators.binary_operators.suboperators.fuzzy_aggregation_operator import \
DiscreteFuzzyAggregationBinaryOperator
from typing import Callable, List
class Copula(DiscreteFuzzyAggregationBinaryOperator):
def __init__(self, n: int,
operator_matr... | discrete_fuzzy_operators/base/operators/binary_operators/suboperators/fuzzy_aggregation_suboperators/copula.py | import numpy
from discrete_fuzzy_operators.base.operators.binary_operators.suboperators.fuzzy_aggregation_operator import \
DiscreteFuzzyAggregationBinaryOperator
from typing import Callable, List
class Copula(DiscreteFuzzyAggregationBinaryOperator):
def __init__(self, n: int,
operator_matr... | 0.93459 | 0.677877 |
import numpy as np
import matplotlib.pyplot as plt
from math import cos, sin, tan, pi
import math
import time
class DHparam:
"""DHパラメータ"""
def __init__(self, alpha, a, d, theta):
self.alpha = alpha
self.a = a
self.d = d
self.theta = theta
class Homogeneous... | misc/old_hurui.py | import numpy as np
import matplotlib.pyplot as plt
from math import cos, sin, tan, pi
import math
import time
class DHparam:
"""DHパラメータ"""
def __init__(self, alpha, a, d, theta):
self.alpha = alpha
self.a = a
self.d = d
self.theta = theta
class Homogeneous... | 0.237841 | 0.479686 |
import json, os, gspread
from flask import Flask, render_template, redirect, url_for
from google.oauth2 import service_account
from dotenv import load_dotenv
import pandas as pd
def get_credential():
'''Reads environment vars, builds and returns scoped Google credential object'''
# Build credential dict
... | app.py | import json, os, gspread
from flask import Flask, render_template, redirect, url_for
from google.oauth2 import service_account
from dotenv import load_dotenv
import pandas as pd
def get_credential():
'''Reads environment vars, builds and returns scoped Google credential object'''
# Build credential dict
... | 0.249447 | 0.285453 |
import sys
import numpy as np
from rnn_portfolio import rnn
from rnn_portfolio.preprocessing import split_val_tr
from rnn_portfolio.preprocessing import get_n_batch
def make_empty_datadict(markets, max_time=10000):
""" Make a dictionary containing placeholders for OPEN, CLOSE,
HIGH, LOW and DATE data that will... | rnn_portfolio/training.py | import sys
import numpy as np
from rnn_portfolio import rnn
from rnn_portfolio.preprocessing import split_val_tr
from rnn_portfolio.preprocessing import get_n_batch
def make_empty_datadict(markets, max_time=10000):
""" Make a dictionary containing placeholders for OPEN, CLOSE,
HIGH, LOW and DATE data that will... | 0.748904 | 0.471467 |
import os
import argparse
import random
import yaml
from jinja2 import Template
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
def gen_mac():
'''
Generate a random MAC address based on the LAA (locally Administered Addresses) range.
x2-xx-xx-xx-xx-xx --> Only currently supported range.
x6-xx-x... | gen-vmx-conf.py | import os
import argparse
import random
import yaml
from jinja2 import Template
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
def gen_mac():
'''
Generate a random MAC address based on the LAA (locally Administered Addresses) range.
x2-xx-xx-xx-xx-xx --> Only currently supported range.
x6-xx-x... | 0.276202 | 0.050776 |
from concurrent.futures import ProcessPoolExecutor
from functools import partial
import numpy as np
import os
from util import audio
from text.pinyinconvert import sentence_to_pinyin
from text.symbols import pinyin_dict
# 声母韵母化bznsyp中的拼音 对一些做特殊处理
def _format_pinyin(value):
if len(value) == 1:
return value... | datasets/bznsyp.py | from concurrent.futures import ProcessPoolExecutor
from functools import partial
import numpy as np
import os
from util import audio
from text.pinyinconvert import sentence_to_pinyin
from text.symbols import pinyin_dict
# 声母韵母化bznsyp中的拼音 对一些做特殊处理
def _format_pinyin(value):
if len(value) == 1:
return value... | 0.164852 | 0.158304 |
import numpy as np
import tensorflow as tf
from gen_cap import gen_captcha_text_and_image
from gen_cap import chars
text, image = gen_captcha_text_and_image()
print("Image channel: ", image.shape)
IMAGE_HEIGHT = 80
IMAGE_WIDTH = 350
MAX_CAPTCHA = 8
print("Length: ", MAX_CAPTCHA)
char_set = []
for i... | task1/train.py |
import numpy as np
import tensorflow as tf
from gen_cap import gen_captcha_text_and_image
from gen_cap import chars
text, image = gen_captcha_text_and_image()
print("Image channel: ", image.shape)
IMAGE_HEIGHT = 80
IMAGE_WIDTH = 350
MAX_CAPTCHA = 8
print("Length: ", MAX_CAPTCHA)
char_set = []
for i... | 0.375134 | 0.17259 |
import sys
import json
import xml.etree.ElementTree as ET
# Использовать словарь, содержащий следующие ключи: фамилия, имя; номер телефона;
# дата рождения (список из трех чисел). Написать программу, выполняющую следующие
# действия: ввод с клавиатуры данных в список, состоящий из словарей заданной структуры;
# запис... | ind_task_3.py |
import sys
import json
import xml.etree.ElementTree as ET
# Использовать словарь, содержащий следующие ключи: фамилия, имя; номер телефона;
# дата рождения (список из трех чисел). Написать программу, выполняющую следующие
# действия: ввод с клавиатуры данных в список, состоящий из словарей заданной структуры;
# запис... | 0.113126 | 0.277173 |
from ..models import Quotes
from flask import render_template, request, redirect, url_for, flash
from ..models import User, Blogs, Comment, Subscriber
from flask_login import login_required, current_user
from . import main
from ..request import get_quotes
from .forms import BlogForm, CommentForm
from .. import db
@ma... | app/main/views.py | from ..models import Quotes
from flask import render_template, request, redirect, url_for, flash
from ..models import User, Blogs, Comment, Subscriber
from flask_login import login_required, current_user
from . import main
from ..request import get_quotes
from .forms import BlogForm, CommentForm
from .. import db
@ma... | 0.410756 | 0.076822 |
import argparse
from pathlib import Path
from sys import argv
import numpy as np
from matplotlib import pyplot as plt
import dns
def main():
parser = argparse.ArgumentParser(description="Produce plots of time series.")
parser.add_argument("runDir", type=str, help="path to the run folder.")
parser.add_ar... | python/dnsstats.py | import argparse
from pathlib import Path
from sys import argv
import numpy as np
from matplotlib import pyplot as plt
import dns
def main():
parser = argparse.ArgumentParser(description="Produce plots of time series.")
parser.add_argument("runDir", type=str, help="path to the run folder.")
parser.add_ar... | 0.418103 | 0.458409 |
from enum import Enum, IntEnum, unique, EnumMeta
from typing import Union
from werkzeug.utils import cached_property
class _IndexEnumMeta(EnumMeta):
def __getitem__(cls, item: int):
return list(cls)[item]
@unique
class Suit(Enum, metaclass=_IndexEnumMeta):
diamonds = '♢'
spades = '♠'
hearts... | jass/logic/card.py | from enum import Enum, IntEnum, unique, EnumMeta
from typing import Union
from werkzeug.utils import cached_property
class _IndexEnumMeta(EnumMeta):
def __getitem__(cls, item: int):
return list(cls)[item]
@unique
class Suit(Enum, metaclass=_IndexEnumMeta):
diamonds = '♢'
spades = '♠'
hearts... | 0.857186 | 0.139572 |
from django.shortcuts import render, redirect
from .models import TodoList, Category
from django.contrib.auth.models import User, Group
from rest_framework import viewsets
from rest_framework import permissions
from Project.todo.serializers import UserSerializer, GroupSerializer, TodoSerializer
def index(request): ... | Python/Project/Project/todo/views.py | from django.shortcuts import render, redirect
from .models import TodoList, Category
from django.contrib.auth.models import User, Group
from rest_framework import viewsets
from rest_framework import permissions
from Project.todo.serializers import UserSerializer, GroupSerializer, TodoSerializer
def index(request): ... | 0.332961 | 0.109087 |
import os
import json
import time
import socket
from threading import Thread
IPS = []
def trata_cliente(conexao, endereco):
requisicao = conexao.recv(1024)
print requisicao
if requisicao == 'LIST':
arqs = os.listdir('/etc/black/garagem/arquivos/')
conexao.send(json.dumps(arqs))
elif re... | computacao_movel/DTN/server.py | import os
import json
import time
import socket
from threading import Thread
IPS = []
def trata_cliente(conexao, endereco):
requisicao = conexao.recv(1024)
print requisicao
if requisicao == 'LIST':
arqs = os.listdir('/etc/black/garagem/arquivos/')
conexao.send(json.dumps(arqs))
elif re... | 0.109921 | 0.079353 |
import torch
import tqdm
class Model(torch.nn.Module):
def __init__(self, cfg):
super(Model, self).__init__()
self.cfg = cfg
self.nb_classes = cfg.nb_classes
self.linear = torch.nn.Linear(in_features = cfg.embedding_size,
out_features ... | classifiers/MLP_ExactSolution.py | import torch
import tqdm
class Model(torch.nn.Module):
def __init__(self, cfg):
super(Model, self).__init__()
self.cfg = cfg
self.nb_classes = cfg.nb_classes
self.linear = torch.nn.Linear(in_features = cfg.embedding_size,
out_features ... | 0.884514 | 0.292043 |
from process_utils import *
import json
import pickle
save_common_path = "../processed_data/WNUT_2017/vocab_and_embd.pkl"
save_inter_train_path = "../processed_data/WNUT_2017/train_data_intermediate.json"
save_inter_train_mixed_case_path = "../processed_data/WNUT_2017/train_mixed_data_intermediate.json"
save_inter_de... | process_tools/process_WNUT_phase2.py | from process_utils import *
import json
import pickle
save_common_path = "../processed_data/WNUT_2017/vocab_and_embd.pkl"
save_inter_train_path = "../processed_data/WNUT_2017/train_data_intermediate.json"
save_inter_train_mixed_case_path = "../processed_data/WNUT_2017/train_mixed_data_intermediate.json"
save_inter_de... | 0.315736 | 0.361644 |
import oqs
import platform # to learn the OS we're on
import random
# KEMs for which unit testing is disabled
disabled_KEM_patterns = []
if platform.system() == "Windows":
disabled_KEM_patterns = ["Classic-McEliece"]
def test_correctness():
for alg_name in oqs.get_enabled_KEM_mechanisms():
if any(i... | tests/test_kem.py | import oqs
import platform # to learn the OS we're on
import random
# KEMs for which unit testing is disabled
disabled_KEM_patterns = []
if platform.system() == "Windows":
disabled_KEM_patterns = ["Classic-McEliece"]
def test_correctness():
for alg_name in oqs.get_enabled_KEM_mechanisms():
if any(i... | 0.227641 | 0.209753 |
import cv2
import numpy as np
# Load face, eye, and nose cascade files
face_cascade = cv2.CascadeClassifier(r"C:\Users\sandhyao\code\Section_10_code\haarcascade_frontalface_alt.xml")
eye_cascade = cv2.CascadeClassifier(r"C:\Users\sandhyao\code\Section_10_code\haarcascade_eye.xml")
nose_cascade = cv2.CascadeClassifier(... | Section_10_code/eye_nose_detector.py | import cv2
import numpy as np
# Load face, eye, and nose cascade files
face_cascade = cv2.CascadeClassifier(r"C:\Users\sandhyao\code\Section_10_code\haarcascade_frontalface_alt.xml")
eye_cascade = cv2.CascadeClassifier(r"C:\Users\sandhyao\code\Section_10_code\haarcascade_eye.xml")
nose_cascade = cv2.CascadeClassifier(... | 0.599602 | 0.175839 |
from docutils.transforms import Transformer
from docutils.io import StringOutput
from .settings import SettingsSpec
from .docstring.writer import TextWriter
class DocstringStyle(SettingsSpec):
"""This class represents docstring style.
It converts document tree to text representation and also transforms
... | src/autodoc/style.py |
from docutils.transforms import Transformer
from docutils.io import StringOutput
from .settings import SettingsSpec
from .docstring.writer import TextWriter
class DocstringStyle(SettingsSpec):
"""This class represents docstring style.
It converts document tree to text representation and also transforms
... | 0.929556 | 0.437944 |
# -----------------------------------------------------------------------------
# crc32 forge by StalkR
# cmdline wrapper by hellman
# specific HaloMD modifications by nil
# original from comments in http://blog.stalkr.net/2011/03/crc-32-forging.html
# ----------------------------------------------------------------... | vendor/crc32forge.py |
# -----------------------------------------------------------------------------
# crc32 forge by StalkR
# cmdline wrapper by hellman
# specific HaloMD modifications by nil
# original from comments in http://blog.stalkr.net/2011/03/crc-32-forging.html
# ----------------------------------------------------------------... | 0.41739 | 0.148294 |
from WeOptPy.algorithms import AdaptiveBatAlgorithm
from WeOptPy.tests.test_algorithm import (
AlgorithmTestCase,
Sphere
)
class ABATestCase(AlgorithmTestCase):
r"""Test case for AdaptiveBatAlgorithm algorithm.
Date:
April 2019
Author:
<NAME>
See Also:
* :class:`WeOptPy.algorithms.AdaptiveBatAlgorithm`... | WeOptPy/tests/test_aba.py | from WeOptPy.algorithms import AdaptiveBatAlgorithm
from WeOptPy.tests.test_algorithm import (
AlgorithmTestCase,
Sphere
)
class ABATestCase(AlgorithmTestCase):
r"""Test case for AdaptiveBatAlgorithm algorithm.
Date:
April 2019
Author:
<NAME>
See Also:
* :class:`WeOptPy.algorithms.AdaptiveBatAlgorithm`... | 0.791861 | 0.802788 |
from bedlam import Game
from bedlam import GameObject
from bedlam import Scene
from bedlam import Sprite
# __pragma__('skip')
document = window = Math = Date = console = 0 # Prevent complaints by optional static checker
# __pragma__('noskip')
# __pragma__('noalias', 'clear')
BOARD_SIZE = 16
CELL_SIZE = 28
BOARD_MAR... | snake.py | from bedlam import Game
from bedlam import GameObject
from bedlam import Scene
from bedlam import Sprite
# __pragma__('skip')
document = window = Math = Date = console = 0 # Prevent complaints by optional static checker
# __pragma__('noskip')
# __pragma__('noalias', 'clear')
BOARD_SIZE = 16
CELL_SIZE = 28
BOARD_MAR... | 0.441673 | 0.142202 |
import pytest
import json
from pricemonitor.config import Coin
from pricemonitor.producing.feed_prices import BtcFeed, BtcFeedError
from util.network import DataFormat, NetworkError
WBTC_COIN = Coin(symbol="WBTC", address="0x000", name="WrappedBitcoin", volatility=0.05)
ETH_COIN = Coin(symbol="ETH", address="0x001",... | tests/test_btc_feed.py | import pytest
import json
from pricemonitor.config import Coin
from pricemonitor.producing.feed_prices import BtcFeed, BtcFeedError
from util.network import DataFormat, NetworkError
WBTC_COIN = Coin(symbol="WBTC", address="0x000", name="WrappedBitcoin", volatility=0.05)
ETH_COIN = Coin(symbol="ETH", address="0x001",... | 0.628863 | 0.313394 |
import logging
import logging.handlers
import threading
import pynmea2
import serial
import aprs
import aprstracker
__author__ = '<NAME> W2GMD <<EMAIL>>'
__copyright__ = 'Copyright 2017 <NAME>'
__license__ = 'Apache License, Version 2.0'
class SerialGPSPoller(threading.Thread):
"""Threadable Object for pollin... | aprstracker/classes.py | import logging
import logging.handlers
import threading
import pynmea2
import serial
import aprs
import aprstracker
__author__ = '<NAME> W2GMD <<EMAIL>>'
__copyright__ = 'Copyright 2017 <NAME>'
__license__ = 'Apache License, Version 2.0'
class SerialGPSPoller(threading.Thread):
"""Threadable Object for pollin... | 0.560614 | 0.073663 |
def cleaning_func_0(data):
# core cleaning code
import pandas as pd
# data = pd.read_csv('../input/loan.csv', low_memory=False)
data.earliest_cr_line = pd.to_datetime(data.earliest_cr_line)
return data
#=============
# Function 1
def cleaning_func_1(data):
# core cleaning code
import pandas as pd
# data = pd.r... | analysis-results/executability-results/loan_data/source_code.py | def cleaning_func_0(data):
# core cleaning code
import pandas as pd
# data = pd.read_csv('../input/loan.csv', low_memory=False)
data.earliest_cr_line = pd.to_datetime(data.earliest_cr_line)
return data
#=============
# Function 1
def cleaning_func_1(data):
# core cleaning code
import pandas as pd
# data = pd.r... | 0.278747 | 0.424531 |
import argparse
import logging
import os
import re
from matplotlib import pylab as plt
import numpy as np
import trace_utils
def _SummarizeStatsForAllocators(result_for_pid: dict, allocators: dict):
"""We compute the wasted memory here by taking the difference of
'allocated_objects_size' and 'size'. See
Memor... | tools/memory/partition_allocator/compute_external_fragmentation.py | import argparse
import logging
import os
import re
from matplotlib import pylab as plt
import numpy as np
import trace_utils
def _SummarizeStatsForAllocators(result_for_pid: dict, allocators: dict):
"""We compute the wasted memory here by taking the difference of
'allocated_objects_size' and 'size'. See
Memor... | 0.489015 | 0.337995 |
import datetime
import json
import logging
import requests
from core.analytics import OneShotAnalytics
from core.errors import ObservableValidationError
from core.observables import Hostname, Email, Ip, Hash
class ThreatCrowdAPI(object):
"""Base class for querying the ThreatCrowd API."""
@staticmethod
... | plugins/analytics/public/threatcrowd.py | import datetime
import json
import logging
import requests
from core.analytics import OneShotAnalytics
from core.errors import ObservableValidationError
from core.observables import Hostname, Email, Ip, Hash
class ThreatCrowdAPI(object):
"""Base class for querying the ThreatCrowd API."""
@staticmethod
... | 0.601711 | 0.092565 |
from django.contrib.auth.decorators import login_required
from django.core.exceptions import BadRequest
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib import messages
from .models import FirstLogin
from .forms import *
def register(request):
"""
The view for the register ... | users/views.py | from django.contrib.auth.decorators import login_required
from django.core.exceptions import BadRequest
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib import messages
from .models import FirstLogin
from .forms import *
def register(request):
"""
The view for the register ... | 0.658308 | 0.107907 |
# third party
import GPy
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsRegressor
# ite absolute
from ite.utils.metrics import HistoricMetrics
from ite.utils.metrics import Metrics
class CMGP:
"""
An implementation of various Gaussian models for Causal inference building on G... | src/ite/algs/causal_multitask_gaussian_processes/model.py |
# third party
import GPy
import numpy as np
import pandas as pd
from sklearn.neighbors import KNeighborsRegressor
# ite absolute
from ite.utils.metrics import HistoricMetrics
from ite.utils.metrics import Metrics
class CMGP:
"""
An implementation of various Gaussian models for Causal inference building on G... | 0.82251 | 0.645651 |
from rest_framework import status
from django.shortcuts import reverse
from rest_framework.test import APIRequestFactory
from dj_tahweela.currencies.views import ExchangeRateView, ExchangeRateTimeSeriesView
from dj_tahweela.users.tests.factories import UserFactory
from rest_framework.test import APITestCase, force_auth... | dj_tahweela/currencies/tests/test_views.py | from rest_framework import status
from django.shortcuts import reverse
from rest_framework.test import APIRequestFactory
from dj_tahweela.currencies.views import ExchangeRateView, ExchangeRateTimeSeriesView
from dj_tahweela.users.tests.factories import UserFactory
from rest_framework.test import APITestCase, force_auth... | 0.59972 | 0.239238 |
import argparse
import json
import os
import time
from tweepy import OAuthHandler, API, NotFound
ssm = None
def get_secret_from_ssm() -> list[str]:
import boto3
global ssm
if not ssm:
ssm = boto3.client('ssm')
ssm_key_consumer_key = os.environ['SSM_KEY_CONSUMER_KEY']
ssm_key_consumer_s... | lambda/main.py | import argparse
import json
import os
import time
from tweepy import OAuthHandler, API, NotFound
ssm = None
def get_secret_from_ssm() -> list[str]:
import boto3
global ssm
if not ssm:
ssm = boto3.client('ssm')
ssm_key_consumer_key = os.environ['SSM_KEY_CONSUMER_KEY']
ssm_key_consumer_s... | 0.275325 | 0.057071 |
"""The artifact class and builder."""
from __future__ import unicode_literals
from . import utils
from .name import Name
from .name import SubPart
class Artifact:
"""Represents a design object which can be linked to other design objects.
See #SPC-design.artifact
"""
# pylint: disable=too-many-argum... | artifact_py/artifact.py | """The artifact class and builder."""
from __future__ import unicode_literals
from . import utils
from .name import Name
from .name import SubPart
class Artifact:
"""Represents a design object which can be linked to other design objects.
See #SPC-design.artifact
"""
# pylint: disable=too-many-argum... | 0.906944 | 0.208642 |
import requests
import nose.tools
from mock import patch
from videolectures.util import (
VideoInfoExtractor,
VideoDownloader,
DownloadError,
ExtractionError)
def _build_response_object(fixture_path):
r = requests.Response()
r.status_code = 200
r._content = _get_fixture(fixture_path)
... | tests/videolectures/util_test.py | import requests
import nose.tools
from mock import patch
from videolectures.util import (
VideoInfoExtractor,
VideoDownloader,
DownloadError,
ExtractionError)
def _build_response_object(fixture_path):
r = requests.Response()
r.status_code = 200
r._content = _get_fixture(fixture_path)
... | 0.558809 | 0.242323 |
import datetime
import numpy as np
class synthetic_data():
# Note: "features" = "exogenous variables"
# "labels" = "endogenous variables"
def __init__(self,
N=100000,
num_features=8,
true_betas=None,
distribution='Poisson',
... | mirabolic/neural_glm/generate_synthetic_data.py |
import datetime
import numpy as np
class synthetic_data():
# Note: "features" = "exogenous variables"
# "labels" = "endogenous variables"
def __init__(self,
N=100000,
num_features=8,
true_betas=None,
distribution='Poisson',
... | 0.593609 | 0.360968 |
import json
import random
from datetime import datetime
import numpy as np
import torch.nn as nn
import torch.utils.data
import evaluation.evaluators as evaluators
import evaluation.metrics as metrics
import examples.run_classifier_dataset_utils as classifier_utils
import train.callbacks as callbacks
import train.tra... | configurable_trainers/dse_configurable_trainer.py | import json
import random
from datetime import datetime
import numpy as np
import torch.nn as nn
import torch.utils.data
import evaluation.evaluators as evaluators
import evaluation.metrics as metrics
import examples.run_classifier_dataset_utils as classifier_utils
import train.callbacks as callbacks
import train.tra... | 0.651909 | 0.282852 |
import os
import sys
"""
Checks the plaidml parameter and sets the plaidml keras backend if needed.
"""
use_plaidml_keras_backend = False
parameter_plaidml_keras_backend = '--plaidml-keras-backend'
if parameter_plaidml_keras_backend in sys.argv:
use_plaidml_keras_backend = True
if use_plaidml_ker... | mlks/main.py |
import os
import sys
"""
Checks the plaidml parameter and sets the plaidml keras backend if needed.
"""
use_plaidml_keras_backend = False
parameter_plaidml_keras_backend = '--plaidml-keras-backend'
if parameter_plaidml_keras_backend in sys.argv:
use_plaidml_keras_backend = True
if use_plaidml_ker... | 0.379263 | 0.092074 |
from oslo_log import log
from oslo_utils import importutils
from oslo_utils import units
import six
from manila import exception
from manila.i18n import _, _LI, _LW
hp3parclient = importutils.try_import("hp3parclient")
if hp3parclient:
from hp3parclient import file_client
LOG = log.getLogger(__name__)
MIN_CLIEN... | manila/share/drivers/hp/hp_3par_mediator.py | from oslo_log import log
from oslo_utils import importutils
from oslo_utils import units
import six
from manila import exception
from manila.i18n import _, _LI, _LW
hp3parclient = importutils.try_import("hp3parclient")
if hp3parclient:
from hp3parclient import file_client
LOG = log.getLogger(__name__)
MIN_CLIEN... | 0.494385 | 0.061003 |
import pytest
from croo.croo import Croo
@pytest.mark.parametrize(
'croo_out_def_json, expected_relpaths',
[
(
{"main.t_main_1": {"out": {"path": "main.t_main_1/${i}/${basename}"}}},
['main.t_main_1/1/t_main_1.1.out', 'main.t_main_1/0/t_main_1.0.out'],
),
(
... | tests/test_subworkflow.py | import pytest
from croo.croo import Croo
@pytest.mark.parametrize(
'croo_out_def_json, expected_relpaths',
[
(
{"main.t_main_1": {"out": {"path": "main.t_main_1/${i}/${basename}"}}},
['main.t_main_1/1/t_main_1.1.out', 'main.t_main_1/0/t_main_1.0.out'],
),
(
... | 0.295433 | 0.247785 |
from typing import List
from operator import add, mul
from util.helpers import solution_timer
from util.input_helper import read_entire_input
data = read_entire_input(2020,18)
def parse(data) -> List[List[str]]:
return [tokenise(element) for element in data]
def tokenise(exp: str) -> List[str]:
exp = exp.rep... | year_2020/day_18_2020.py | from typing import List
from operator import add, mul
from util.helpers import solution_timer
from util.input_helper import read_entire_input
data = read_entire_input(2020,18)
def parse(data) -> List[List[str]]:
return [tokenise(element) for element in data]
def tokenise(exp: str) -> List[str]:
exp = exp.rep... | 0.53048 | 0.424173 |
import discord
from discord.ext import commands
import sqlite3
class Info(commands.Cog):
def __init__(self, bot):
self.bot = bot
# A list of commands
@commands.command(aliases=["h","commands"])
async def help(self, ctx):
embed = discord.Embed(title="Commands:", color=0xFFFA9E)
embed.add_field(name=":mag_r... | cogs/info.py | import discord
from discord.ext import commands
import sqlite3
class Info(commands.Cog):
def __init__(self, bot):
self.bot = bot
# A list of commands
@commands.command(aliases=["h","commands"])
async def help(self, ctx):
embed = discord.Embed(title="Commands:", color=0xFFFA9E)
embed.add_field(name=":mag_r... | 0.151372 | 0.199639 |
import os
try:
import urlparse as url_parser
except ImportError:
import urllib.parse as url_parser
import m3u8
import pytest
import playlists
def test_loads_should_create_object_from_string():
obj = m3u8.loads(playlists.SIMPLE_PLAYLIST)
assert isinstance(obj, m3u8.M3U8)
assert 5220 == obj.target_d... | tests/test_loader.py |
import os
try:
import urlparse as url_parser
except ImportError:
import urllib.parse as url_parser
import m3u8
import pytest
import playlists
def test_loads_should_create_object_from_string():
obj = m3u8.loads(playlists.SIMPLE_PLAYLIST)
assert isinstance(obj, m3u8.M3U8)
assert 5220 == obj.target_d... | 0.456894 | 0.397646 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import argparse
__author__ = '<NAME>'
__email__ = '<EMAIL>'
ON = 255
OFF = 0
vals = [ON, OFF]
def add_glider(i, j, grid):
""" add a glider with top left cell at (i, j)"""
glider = np.array([[0, 0, 255],
... | cell_life.py | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import argparse
__author__ = '<NAME>'
__email__ = '<EMAIL>'
ON = 255
OFF = 0
vals = [ON, OFF]
def add_glider(i, j, grid):
""" add a glider with top left cell at (i, j)"""
glider = np.array([[0, 0, 255],
... | 0.599602 | 0.335732 |
import bpy
import os
import mathutils
import math
def write_rigid_bodies(f, rigid_bodies, worldQuat, worldScale):
f.write("rigid_bodies:\n")
for rigid_body in rigid_bodies:
is_foot = "foot" in rigid_body.keys() and rigid_body["foot"] > 0.0
location = worldScale * (worldQuat * rigid_body... | Creatures/export_model.py | import bpy
import os
import mathutils
import math
def write_rigid_bodies(f, rigid_bodies, worldQuat, worldScale):
f.write("rigid_bodies:\n")
for rigid_body in rigid_bodies:
is_foot = "foot" in rigid_body.keys() and rigid_body["foot"] > 0.0
location = worldScale * (worldQuat * rigid_body... | 0.374791 | 0.28283 |
from pandas.io.sql import read_sql
import pandas as pd
import geopandas as gpd
import requests
from pyiem.util import get_dbconn
from pyiem.box_utils import sendfiles2box
LOOKUP = {
"10240003": "East Nishnabotna River",
"07080205": "Middle Cedar River",
"07100006": "North Raccoon River",
"07060002": "... | scripts/hud/deliver_reports.py |
from pandas.io.sql import read_sql
import pandas as pd
import geopandas as gpd
import requests
from pyiem.util import get_dbconn
from pyiem.box_utils import sendfiles2box
LOOKUP = {
"10240003": "East Nishnabotna River",
"07080205": "Middle Cedar River",
"07100006": "North Raccoon River",
"07060002": "... | 0.440469 | 0.285397 |
import tarfile
import re
from zipfile import ZipFile
str = open("metadata.json", "r").read()
match = re.search(r'"version":\s"(.*)",', str)
metadata_ver = match.group(1)
enrich_str = open("source/greynoise_anomali_enrichment.py", "r").read()
enrich_match = re.search(r"VERSION\s=\s\S(.*)\S", enrich_str)
enrich_ver = e... | greynoise-enrichment/build-bundle.py | import tarfile
import re
from zipfile import ZipFile
str = open("metadata.json", "r").read()
match = re.search(r'"version":\s"(.*)",', str)
metadata_ver = match.group(1)
enrich_str = open("source/greynoise_anomali_enrichment.py", "r").read()
enrich_match = re.search(r"VERSION\s=\s\S(.*)\S", enrich_str)
enrich_ver = e... | 0.19031 | 0.111967 |
import os
import pandas as pd
import threading
import time
import ujson
from tornado_sqlalchemy_login.utils import safe_get, safe_post_cookies, construct_path
from traitlets import HasTraits
from .samples_mixin import SamplesMixin
from ..types.competition import CompetitionSpec
from ..types.submission import Submission... | crowdsource/client/client.py | import os
import pandas as pd
import threading
import time
import ujson
from tornado_sqlalchemy_login.utils import safe_get, safe_post_cookies, construct_path
from traitlets import HasTraits
from .samples_mixin import SamplesMixin
from ..types.competition import CompetitionSpec
from ..types.submission import Submission... | 0.4917 | 0.114097 |
import pytest
from prettyqt import core
import prettyqt.qt
from prettyqt.utils import InvalidParamError
location = pytest.importorskip("prettyqt.location")
QtLocation = pytest.importorskip("prettyqt.qt.QtLocation")
def test_geocodingmanager(qtlog):
with qtlog.disabled():
provider = location.GeoService... | tests/test_location.py |
import pytest
from prettyqt import core
import prettyqt.qt
from prettyqt.utils import InvalidParamError
location = pytest.importorskip("prettyqt.location")
QtLocation = pytest.importorskip("prettyqt.qt.QtLocation")
def test_geocodingmanager(qtlog):
with qtlog.disabled():
provider = location.GeoService... | 0.54819 | 0.409634 |
import logging
from django.db.models import Q
from nltk.sentiment import SentimentIntensityAnalyzer
from delab.models import Tweet, LANGUAGE
from delab.sentiment.sentiment_analysis_ger import classify_german_sentiments
def update_tweet_sentiments(simple_request_id=-1, language=LANGUAGE.ENGLISH):
if simple_reque... | delab/sentiment/sentiment_classification.py | import logging
from django.db.models import Q
from nltk.sentiment import SentimentIntensityAnalyzer
from delab.models import Tweet, LANGUAGE
from delab.sentiment.sentiment_analysis_ger import classify_german_sentiments
def update_tweet_sentiments(simple_request_id=-1, language=LANGUAGE.ENGLISH):
if simple_reque... | 0.286369 | 0.292908 |