code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import numpy as np
import os
import h5py
import nptdms
import re
from contextlib import ExitStack
from pathlib import Path
from typing import Any, AnyStr, Dict, Generator, List, Match, Pattern
from enum import IntEnum
from typing import List, Tuple, Union
from dream3d.Filter import Filter, FilterDelegat... | Python/Filters/tdms_to_h5.py |
import numpy as np
import os
import h5py
import nptdms
import re
from contextlib import ExitStack
from pathlib import Path
from typing import Any, AnyStr, Dict, Generator, List, Match, Pattern
from enum import IntEnum
from typing import List, Tuple, Union
from dream3d.Filter import Filter, FilterDelegat... | 0.462959 | 0.103839 |
from datetime import timedelta
import os
from typing import Tuple
from airflow import DAG
from airflow.operators.sensors import S3KeySensor
from airflow.operators.python_operator import PythonOperator
from airflow.utils.dates import days_ago
import boto3
from csv_generator.process_xml_zip import process_zip_or_extra... | airflow/dags/data_pipeline_dag.py | from datetime import timedelta
import os
from typing import Tuple
from airflow import DAG
from airflow.operators.sensors import S3KeySensor
from airflow.operators.python_operator import PythonOperator
from airflow.utils.dates import days_ago
import boto3
from csv_generator.process_xml_zip import process_zip_or_extra... | 0.761006 | 0.2627 |
from talon.voice import Context, Key, press
import talon.clip as clip
from ..utils import (
text,
parse_words,
parse_words_as_integer,
insert,
word,
join_words,
is_filetype,
)
from ..formatters import (
CAMELCASE,
formatted_text,
)
JS_EXTENSIONS = (".js", ".jsx", ".ts", ".vue")
co... | lang/javascript.py | from talon.voice import Context, Key, press
import talon.clip as clip
from ..utils import (
text,
parse_words,
parse_words_as_integer,
insert,
word,
join_words,
is_filetype,
)
from ..formatters import (
CAMELCASE,
formatted_text,
)
JS_EXTENSIONS = (".js", ".jsx", ".ts", ".vue")
co... | 0.448185 | 0.385086 |
from sklearn.utils.validation import check_is_fitted
from sklearn.base import BaseEstimator
from ..base import TransformerResamplerMixin
from ..utils.validation import validate_params
from sklearn.utils.validation import check_array, column_or_1d
import numpy as np
class Resampler(BaseEstimator, TransformerResampler... | giotto/time_series/preprocessing.py |
from sklearn.utils.validation import check_is_fitted
from sklearn.base import BaseEstimator
from ..base import TransformerResamplerMixin
from ..utils.validation import validate_params
from sklearn.utils.validation import check_array, column_or_1d
import numpy as np
class Resampler(BaseEstimator, TransformerResampler... | 0.960259 | 0.830319 |
begin_unit
comment|'# Copyright 2010 United States Government as represented by the'
nl|'\n'
comment|'# Administrator of the National Aeronautics and Space Administration.'
nl|'\n'
comment|'# Copyright 2011 <NAME>'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apa... | nova/debugger.py | begin_unit
comment|'# Copyright 2010 United States Government as represented by the'
nl|'\n'
comment|'# Administrator of the National Aeronautics and Space Administration.'
nl|'\n'
comment|'# Copyright 2011 <NAME>'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apa... | 0.533641 | 0.069795 |
from flask import url_for
from tests.test_auth import login, logout
from ygq import Dish, User, db, Order
def test_index_page(client):
rv = client.get(url_for('shop.index', shop_id=1))
assert b'FzuHotel' in rv.data
assert b'FoTiaoQiang' in rv.data
def test_show_orders(client):
rv = client.get(url_f... | tests/test_shop.py | from flask import url_for
from tests.test_auth import login, logout
from ygq import Dish, User, db, Order
def test_index_page(client):
rv = client.get(url_for('shop.index', shop_id=1))
assert b'FzuHotel' in rv.data
assert b'FoTiaoQiang' in rv.data
def test_show_orders(client):
rv = client.get(url_f... | 0.424412 | 0.404213 |
import pywind.lib.reader as reader
import pywind.web.lib.httpchunked as httpchunked
import sys, traceback
class wsgi(object):
__app = None
__is_finish = False
__reader = None
__output_body_func = None
__output_hdr_func = None
__finish_func = None
__resp_status = None
__resp_headers = ... | pywind/web/lib/wsgi.py | import pywind.lib.reader as reader
import pywind.web.lib.httpchunked as httpchunked
import sys, traceback
class wsgi(object):
__app = None
__is_finish = False
__reader = None
__output_body_func = None
__output_hdr_func = None
__finish_func = None
__resp_status = None
__resp_headers = ... | 0.207375 | 0.071429 |
import logging
import re
from datetime import timedelta
import asyncio
from ..utils import load_plugins, invoke_plugins
from ..config import config
from .base import SearcherError, SearchResult
log = logging.getLogger('stagehand.searchers')
plugins, broken_plugins = load_plugins('searchers', ['easynews'])
@asyncio.... | stagehand/searchers/__init__.py | import logging
import re
from datetime import timedelta
import asyncio
from ..utils import load_plugins, invoke_plugins
from ..config import config
from .base import SearcherError, SearchResult
log = logging.getLogger('stagehand.searchers')
plugins, broken_plugins = load_plugins('searchers', ['easynews'])
@asyncio.... | 0.229363 | 0.101634 |
import os
import sys
import csv
import glob
import time
import json
import logging
import resource
import threading
import subprocess
# constants ------------------------------------------------
THREADS=1
TIMEOUT=900
INSTR_MAX=4000000000000000000
# globals --------------------------------------------------
dirs = glo... | run.py | import os
import sys
import csv
import glob
import time
import json
import logging
import resource
import threading
import subprocess
# constants ------------------------------------------------
THREADS=1
TIMEOUT=900
INSTR_MAX=4000000000000000000
# globals --------------------------------------------------
dirs = glo... | 0.145661 | 0.071235 |
from dataclasses import dataclass
from dataclasses import field
from pathlib import Path
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
from xsdata.analyzer import ClassAnalyzer
from xsdata.builder import ClassBuilder
from xsdata.logger import logger
from xsdata.m... | xsdata/transformer.py | from dataclasses import dataclass
from dataclasses import field
from pathlib import Path
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
from xsdata.analyzer import ClassAnalyzer
from xsdata.builder import ClassBuilder
from xsdata.logger import logger
from xsdata.m... | 0.912115 | 0.32298 |
from pathlib import Path
import numpy as np
import scipy.io as io
from utils.matching import optimum
import scipy.io as io
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
data_type = {"train": [1, 2, 5, 6, 9, 10, 13, 14], "test": [3, 7, 11, 15]}
Group = {
"Control": list(range(1, 5)),
... | utils/associate_candidate.py | from pathlib import Path
import numpy as np
import scipy.io as io
from utils.matching import optimum
import scipy.io as io
from pathlib import Path
import numpy as np
import matplotlib.pyplot as plt
data_type = {"train": [1, 2, 5, 6, 9, 10, 13, 14], "test": [3, 7, 11, 15]}
Group = {
"Control": list(range(1, 5)),
... | 0.594316 | 0.592667 |
import os
import re
import sys
import glob
import shutil
import subprocess
import excons
import excons.devtoolset
import SCons.Script # pylint: disable=import-error
# pylint: disable=bad-indentation,global-statement,bare-except,deprecated-lambda
InstallExp = re.compile(r"^--\s+(Installing|Up-to-date):\s+([^\s].*)$... | cmake.py |
import os
import re
import sys
import glob
import shutil
import subprocess
import excons
import excons.devtoolset
import SCons.Script # pylint: disable=import-error
# pylint: disable=bad-indentation,global-statement,bare-except,deprecated-lambda
InstallExp = re.compile(r"^--\s+(Installing|Up-to-date):\s+([^\s].*)$... | 0.217171 | 0.066418 |
import logging
import time
from abc import ABC, abstractmethod
from google.protobuf.text_format import MessageToString
from th2_common.schema.message.message_listener import MessageListener
from th2_grpc_check2_recon.check2_recon_pb2_grpc import Check2ReconServicer
from th2_grpc_common.common_pb2 import MessageBatch,... | th2_check2_recon/handler.py |
import logging
import time
from abc import ABC, abstractmethod
from google.protobuf.text_format import MessageToString
from th2_common.schema.message.message_listener import MessageListener
from th2_grpc_check2_recon.check2_recon_pb2_grpc import Check2ReconServicer
from th2_grpc_common.common_pb2 import MessageBatch,... | 0.490724 | 0.066934 |
__all__ = ['odict']
__author__ = 'MF'
__version__ = '1.0'
try:
unicode = unicode
except NameError:
# 'unicode' is undefined, must be Python 3
str = str
unicode = str
bytes = bytes
basestring = (str,bytes)
__strtypes__ = [str, unicode]
else:
# 'unicode' exists, must be Python 2
str ... | beast/external/eztables/core/odict.py | __all__ = ['odict']
__author__ = 'MF'
__version__ = '1.0'
try:
unicode = unicode
except NameError:
# 'unicode' is undefined, must be Python 3
str = str
unicode = str
bytes = bytes
basestring = (str,bytes)
__strtypes__ = [str, unicode]
else:
# 'unicode' exists, must be Python 2
str ... | 0.512693 | 0.174921 |
from __future__ import unicode_literals
from django import forms
from django.utils.text import slugify
from djangocms_attributes_field.fields import AttributesFormField
from . import models
from .constants import (
CONTAINER_LAYOUTS,
SECTION_LAYOUTS,
SLIDESHOW_LAYOUTS,
SLIDE_LAYOUTS,
DEVICE_SIZES,
)... | js_showcase/forms.py | from __future__ import unicode_literals
from django import forms
from django.utils.text import slugify
from djangocms_attributes_field.fields import AttributesFormField
from . import models
from .constants import (
CONTAINER_LAYOUTS,
SECTION_LAYOUTS,
SLIDESHOW_LAYOUTS,
SLIDE_LAYOUTS,
DEVICE_SIZES,
)... | 0.427755 | 0.106644 |
from typing import Any, Callable, Dict, List, Optional, Text, Union
import tensorflow as tf
from official.core import config_definitions as cfg
from official.core import export_base
from official.vision import configs
from official.vision.beta.projects.yolo.configs.yolo import YoloTask
from official.vision.beta.proje... | official/vision/beta/projects/yolo/serving/export_module_factory.py | from typing import Any, Callable, Dict, List, Optional, Text, Union
import tensorflow as tf
from official.core import config_definitions as cfg
from official.core import export_base
from official.vision import configs
from official.vision.beta.projects.yolo.configs.yolo import YoloTask
from official.vision.beta.proje... | 0.958518 | 0.285042 |
# pylint: disable=import-error, too-many-locals, too-many-statements
# pylint: disable=pointless-string-statement, no-member
"""
average_ckpt.py: Tensorflow 2.1 averaging model weights.
It was referred from
https://stackoverflow.com/questions/48212110/average-weights-in-keras-models
"""
__author__ = "<NAME>"
__email... | tfsr/utils/average_ckpt_sr.py |
# pylint: disable=import-error, too-many-locals, too-many-statements
# pylint: disable=pointless-string-statement, no-member
"""
average_ckpt.py: Tensorflow 2.1 averaging model weights.
It was referred from
https://stackoverflow.com/questions/48212110/average-weights-in-keras-models
"""
__author__ = "<NAME>"
__email... | 0.602412 | 0.171824 |
from __future__ import unicode_literals
import dataent
from dataent import _
import dataent.defaults
from dataent.modules.import_file import get_file_path, read_doc_from_file
from dataent.translate import send_translations
from dataent.core.doctype.doctype.doctype import (clear_permissions_cache,
validate_permissions... | dataent/core/page/permission_manager/permission_manager.py |
from __future__ import unicode_literals
import dataent
from dataent import _
import dataent.defaults
from dataent.modules.import_file import get_file_path, read_doc_from_file
from dataent.translate import send_translations
from dataent.core.doctype.doctype.doctype import (clear_permissions_cache,
validate_permissions... | 0.440469 | 0.214702 |
import unittest
from dyna_settings.core import DynaSettings, _dyna_controller, register_dyna_settings, dyna_value, \
NoMatchingSettingsClass, DynaSettingsController
__author__ = 'curtis'
class ChildOK_Match(DynaSettings):
def value_dict(self):
return {'A': 'a', 'B': 'b', 'C': 9}
def env_detector... | tests/test_dyna_settings.py | import unittest
from dyna_settings.core import DynaSettings, _dyna_controller, register_dyna_settings, dyna_value, \
NoMatchingSettingsClass, DynaSettingsController
__author__ = 'curtis'
class ChildOK_Match(DynaSettings):
def value_dict(self):
return {'A': 'a', 'B': 'b', 'C': 9}
def env_detector... | 0.631026 | 0.513363 |
import os
import pytest
import uuid
from unittest.mock import Mock
from ixian.check.checker import Checker, MultiValueChecker
from ixian.modules.filesystem.file_hash import FileHash, get_flags
class MockChecker(Checker):
def __init__(self, mock_save=True, mock_check=True, *args, **kwargs):
self.mock_sa... | ixian/tests/test_checker.py |
import os
import pytest
import uuid
from unittest.mock import Mock
from ixian.check.checker import Checker, MultiValueChecker
from ixian.modules.filesystem.file_hash import FileHash, get_flags
class MockChecker(Checker):
def __init__(self, mock_save=True, mock_check=True, *args, **kwargs):
self.mock_sa... | 0.688049 | 0.254996 |
import tensorflow as tf
def bahdanau_attention(units: int, query_dim: int, value_dim: int, d_type: tf.dtypes.DType = tf.float32,
name: str = "bahdanau_attention") -> tf.keras.Model:
"""Bahdanau Attention实现
:param units:
:param query_dim: query最后一个维度
:param value_dim: value最后一个维... | dialogue/tensorflow/layers.py | import tensorflow as tf
def bahdanau_attention(units: int, query_dim: int, value_dim: int, d_type: tf.dtypes.DType = tf.float32,
name: str = "bahdanau_attention") -> tf.keras.Model:
"""Bahdanau Attention实现
:param units:
:param query_dim: query最后一个维度
:param value_dim: value最后一个维... | 0.789153 | 0.571408 |
from math import e
# Import the create dense files
from p4_create_dense_files import inflation, annuity_term
test_case = 1
dense_cf_filename = 'p4_test%d_dense_cf.txt' % test_case
dense_rates_filename = 'p4_test%d_dense_rates.txt' % test_case
total = 0.0
cf_npv = 0.0
cf_file = open(dense_cf_filename, 'r') # opens ... | Week 05/p4_instructor_files/p4_search_annuity.py | from math import e
# Import the create dense files
from p4_create_dense_files import inflation, annuity_term
test_case = 1
dense_cf_filename = 'p4_test%d_dense_cf.txt' % test_case
dense_rates_filename = 'p4_test%d_dense_rates.txt' % test_case
total = 0.0
cf_npv = 0.0
cf_file = open(dense_cf_filename, 'r') # opens ... | 0.395601 | 0.409929 |
from bs4 import BeautifulSoup
from javaCopyrightsParser import JavaCopyrightsParser
class JavaLicenseParser:
SEPARATOR = ','
def __init__(self, input_license_file):
try:
with open(input_license_file) as fp:
self.soup = BeautifulSoup(fp, 'html.parser')
self.... | javaLicenseParser.py | from bs4 import BeautifulSoup
from javaCopyrightsParser import JavaCopyrightsParser
class JavaLicenseParser:
SEPARATOR = ','
def __init__(self, input_license_file):
try:
with open(input_license_file) as fp:
self.soup = BeautifulSoup(fp, 'html.parser')
self.... | 0.311427 | 0.124186 |
import time
from pyspark.rdd import portable_hash
from itertools import groupby, starmap, chain, filterfalse
def partition_by_first_value(key):
return portable_hash(key[0])
def get_sorted_values(lines):
groups_with_key_duplicates = groupby(lines, key=lambda x: x[0])
return groups_with_key_duplicates
def con... | ccf_pyspark.py | import time
from pyspark.rdd import portable_hash
from itertools import groupby, starmap, chain, filterfalse
def partition_by_first_value(key):
return portable_hash(key[0])
def get_sorted_values(lines):
groups_with_key_duplicates = groupby(lines, key=lambda x: x[0])
return groups_with_key_duplicates
def con... | 0.401453 | 0.307449 |
from ccobra import CCobraTaskEncoder
class SyllogisticTaskEncoder(CCobraTaskEncoder):
""" Syllogistic encoder. Provides functions for abbreviating syllogistic tasks.
"""
@staticmethod
def encode_task(task):
""" Encodes a task to its syllogistic encoding.
Parameters
----------... | ccobra/syllogistic/task_encoder_syl.py | from ccobra import CCobraTaskEncoder
class SyllogisticTaskEncoder(CCobraTaskEncoder):
""" Syllogistic encoder. Provides functions for abbreviating syllogistic tasks.
"""
@staticmethod
def encode_task(task):
""" Encodes a task to its syllogistic encoding.
Parameters
----------... | 0.841272 | 0.486636 |
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
class UsefullFeatureSelector(BaseEstimator, TransformerMixin):
def __init__(self, nans_thr=1, const_thr=1):
self.nans_thr = nans_thr
self.const_thr = const_thr
self.useless_ = None
def fit(self, X,... | ocp/features/feature_selection.py | import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
class UsefullFeatureSelector(BaseEstimator, TransformerMixin):
def __init__(self, nans_thr=1, const_thr=1):
self.nans_thr = nans_thr
self.const_thr = const_thr
self.useless_ = None
def fit(self, X,... | 0.395718 | 0.274218 |
import logging
import pickle
from typing import List
import torch
from transformers import RobertaTokenizer, RobertaModel
from src.dataobjs.mention_data import MentionData
logger = logging.getLogger(__name__)
class EmbedTransformersGenerics(object):
def __init__(self, max_surrounding_contx,
fi... | src/utils/embed_utils.py | import logging
import pickle
from typing import List
import torch
from transformers import RobertaTokenizer, RobertaModel
from src.dataobjs.mention_data import MentionData
logger = logging.getLogger(__name__)
class EmbedTransformersGenerics(object):
def __init__(self, max_surrounding_contx,
fi... | 0.772015 | 0.28284 |
import torch.nn as nn
from .ssim import SSIMLoss, MSSSIMLoss
from .dice import DiceLoss, BCEDiceLoss
from .rmse import RMSELoss
def cross_entropy_loss():
"""Cross Entropy Loss.
The loss automatically applies the softmax activation
function on the prediction input.
Returns:
Cross entroy loss ... | tensornet/models/loss/__init__.py | import torch.nn as nn
from .ssim import SSIMLoss, MSSSIMLoss
from .dice import DiceLoss, BCEDiceLoss
from .rmse import RMSELoss
def cross_entropy_loss():
"""Cross Entropy Loss.
The loss automatically applies the softmax activation
function on the prediction input.
Returns:
Cross entroy loss ... | 0.964739 | 0.591133 |
import logging
import os.path
import subprocess
import gi
import nm_tools
gi.require_version('Gdk', '3.0')
from ulauncher.api.client.EventListener import EventListener
from ulauncher.api.client.Extension import Extension
from ulauncher.api.shared.action.ExtensionCustomAction import ExtensionCustomAction
from ulaunc... | main.py | import logging
import os.path
import subprocess
import gi
import nm_tools
gi.require_version('Gdk', '3.0')
from ulauncher.api.client.EventListener import EventListener
from ulauncher.api.client.Extension import Extension
from ulauncher.api.shared.action.ExtensionCustomAction import ExtensionCustomAction
from ulaunc... | 0.415373 | 0.042206 |
import hail as hl
from hail.utils import FatalError
from hail.utils.java import Env, info, scala_object
import os
import logging
import flask
import json
master = os.environ.get('HAIL_APISERVER_SPARK_MASTER')
hl.init(master=master, min_block_size=0)
app = flask.Flask('hail-apiserver')
@app.route('/execute', method... | apiserver/apiserver/apiserver.py | import hail as hl
from hail.utils import FatalError
from hail.utils.java import Env, info, scala_object
import os
import logging
import flask
import json
master = os.environ.get('HAIL_APISERVER_SPARK_MASTER')
hl.init(master=master, min_block_size=0)
app = flask.Flask('hail-apiserver')
@app.route('/execute', method... | 0.409457 | 0.1273 |
import re
from moonreader_tools.accessors.file_reader import FileReader
from moonreader_tools.notes import Note
from moonreader_tools.parsers.note_extractor import NoteExtractorMixin
class PDFNoteParser(FileReader, NoteExtractorMixin):
# TODO: inherit from the basic object
"""Reads notes from PDF flike objec... | moonreader_tools/parsers/pdf_parser.py | import re
from moonreader_tools.accessors.file_reader import FileReader
from moonreader_tools.notes import Note
from moonreader_tools.parsers.note_extractor import NoteExtractorMixin
class PDFNoteParser(FileReader, NoteExtractorMixin):
# TODO: inherit from the basic object
"""Reads notes from PDF flike objec... | 0.25992 | 0.222025 |
"""Setup the tg2express application"""
from __future__ import print_function
import logging
from tg import config
from tg2express import model
import transaction
def bootstrap(command, conf, vars):
"""Place any commands to setup tg2express here"""
# <websetup.bootstrap.before.auth
from sqlalchemy.exc im... | example/tg2express/websetup/bootstrap.py | """Setup the tg2express application"""
from __future__ import print_function
import logging
from tg import config
from tg2express import model
import transaction
def bootstrap(command, conf, vars):
"""Place any commands to setup tg2express here"""
# <websetup.bootstrap.before.auth
from sqlalchemy.exc im... | 0.432782 | 0.200989 |
from .utils.tools import Coord
from datetime import datetime, timedelta
class Stage:
EVENT_STAGES = []
CHIP_STAGES = {
'lvlcoord': [Coord(430, 450), Coord(830, 260)],
'a': ['mon', 'thu', 'fri', 'sun'],
'b': ['mon', 'tue', 'fri', 'sat'],
'c': ['wed', 'thu', 'sat', 'sun'],
... | arknights_farmer/stage.py | from .utils.tools import Coord
from datetime import datetime, timedelta
class Stage:
EVENT_STAGES = []
CHIP_STAGES = {
'lvlcoord': [Coord(430, 450), Coord(830, 260)],
'a': ['mon', 'thu', 'fri', 'sun'],
'b': ['mon', 'tue', 'fri', 'sat'],
'c': ['wed', 'thu', 'sat', 'sun'],
... | 0.595493 | 0.226281 |
from aaweb import app
from aaweb.api import api_json_error, api_json_response
from aaweb.models import Plane, PlaneLayout
from flask import url_for
@app.route('/api/current/planes', methods = ('GET',))
def api_current_planes():
data = []
for plane in Plane.select():
details = {}
flying, coor... | aaweb/api/plane.py |
from aaweb import app
from aaweb.api import api_json_error, api_json_response
from aaweb.models import Plane, PlaneLayout
from flask import url_for
@app.route('/api/current/planes', methods = ('GET',))
def api_current_planes():
data = []
for plane in Plane.select():
details = {}
flying, coor... | 0.546254 | 0.130368 |
from django.conf import settings
from django import forms
from django_mako_plus import view_function, render_template
from inspect import Signature
import inspect
formsig = Signature.from_callable(forms.Form.__init__)
class Formless(forms.Form):
"""
A mixin that prints a full form (instead of just the fiel... | formlib/form.py |
from django.conf import settings
from django import forms
from django_mako_plus import view_function, render_template
from inspect import Signature
import inspect
formsig = Signature.from_callable(forms.Form.__init__)
class Formless(forms.Form):
"""
A mixin that prints a full form (instead of just the fiel... | 0.46952 | 0.076304 |
import pulumi
import pulumi.runtime
class Service(pulumi.CustomResource):
"""
Manages a V2 Neutron VPN service resource within OpenStack.
"""
def __init__(__self__, __name__, __opts__=None, admin_state_up=None, description=None, name=None, region=None, router_id=None, subnet_id=None, tenant_id=None, v... | sdk/python/pulumi_openstack/vpnaas/service.py |
import pulumi
import pulumi.runtime
class Service(pulumi.CustomResource):
"""
Manages a V2 Neutron VPN service resource within OpenStack.
"""
def __init__(__self__, __name__, __opts__=None, admin_state_up=None, description=None, name=None, region=None, router_id=None, subnet_id=None, tenant_id=None, v... | 0.63341 | 0.057229 |
import numpy as np
try:
import spotpy
except ImportError:
import sys
sys.path.append(".")
import spotpy
import unittest
from spotpy.likelihoods import LikelihoodError
# We use all available likelihood functions. The pydoc of every function tells, if we can add a
# parameter `param` to the function ... | tests/test_likelihood.py | import numpy as np
try:
import spotpy
except ImportError:
import sys
sys.path.append(".")
import spotpy
import unittest
from spotpy.likelihoods import LikelihoodError
# We use all available likelihood functions. The pydoc of every function tells, if we can add a
# parameter `param` to the function ... | 0.531696 | 0.671087 |
from getratings.models.ratings import Ratings
class NA_Orianna_Bot_Aatrox(Ratings):
pass
class NA_Orianna_Bot_Ahri(Ratings):
pass
class NA_Orianna_Bot_Akali(Ratings):
pass
class NA_Orianna_Bot_Alistar(Ratings):
pass
class NA_Orianna_Bot_Amumu(Ratings):
pass
class NA_Orianna_Bot_Anivia(Rating... | loldib/getratings/models/NA/na_orianna/na_orianna_bot.py | from getratings.models.ratings import Ratings
class NA_Orianna_Bot_Aatrox(Ratings):
pass
class NA_Orianna_Bot_Ahri(Ratings):
pass
class NA_Orianna_Bot_Akali(Ratings):
pass
class NA_Orianna_Bot_Alistar(Ratings):
pass
class NA_Orianna_Bot_Amumu(Ratings):
pass
class NA_Orianna_Bot_Anivia(Rating... | 0.197754 | 0.076649 |
import re
from urllib.parse import urljoin
from flexget.utils.soup import get_soup
from ..base.request import check_network_state, NetworkState
from ..base.sign_in import check_final_state, SignState, Work
from ..utils.net_utils import get_module_name
from ..schema.unit3d import Unit3D
from ..utils import net_utils
f... | ptsites/sites/hdpost.py | import re
from urllib.parse import urljoin
from flexget.utils.soup import get_soup
from ..base.request import check_network_state, NetworkState
from ..base.sign_in import check_final_state, SignState, Work
from ..utils.net_utils import get_module_name
from ..schema.unit3d import Unit3D
from ..utils import net_utils
f... | 0.396535 | 0.193528 |
from datetime import datetime
from dateutil import tz
from pathlib import Path
from typing import List
from urllib.parse import quote
import daiquiri
from lxml import etree
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
import pendulum
import requests
from sqlalchemy import create_engine
fro... | webapp/reports/package_tracker.py | from datetime import datetime
from dateutil import tz
from pathlib import Path
from typing import List
from urllib.parse import quote
import daiquiri
from lxml import etree
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
import pendulum
import requests
from sqlalchemy import create_engine
fro... | 0.441673 | 0.099077 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from embyapi.api_client import ApiClient
class MediaInfoServiceApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | embyapi/api/media_info_service_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from embyapi.api_client import ApiClient
class MediaInfoServiceApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | 0.684053 | 0.045841 |
from . plotly_words import INFO
class PlotlyList(list):
"""
A container for PlotlyDicts, inherits from standard list.
Plotly uses lists and dicts as collections to hold information about a
figure. This container is simply a list that understands some plotly
language and apes the methods in a Plot... | venv/lib/python3.7/site-packages/matplotlylib/plotly_objs.py | from . plotly_words import INFO
class PlotlyList(list):
"""
A container for PlotlyDicts, inherits from standard list.
Plotly uses lists and dicts as collections to hold information about a
figure. This container is simply a list that understands some plotly
language and apes the methods in a Plot... | 0.881088 | 0.527864 |
# Lint as: python3
"""Downloads and installs nasm in a temporary directory."""
import logging
import os
import shutil
import subprocess
import sys
import tempfile
import urllib.parse
import urllib.request
import zipfile
# pylint: disable=g-import-not-at-top
# pylint: disable=W0403
sys.path.append(os.path.dirname(__f... | sdk/build/nasm_installer.py |
# Lint as: python3
"""Downloads and installs nasm in a temporary directory."""
import logging
import os
import shutil
import subprocess
import sys
import tempfile
import urllib.parse
import urllib.request
import zipfile
# pylint: disable=g-import-not-at-top
# pylint: disable=W0403
sys.path.append(os.path.dirname(__f... | 0.640186 | 0.111628 |
__copyright__ = """
Copyright 2019 Amazon.com, Inc. or its affiliates.
Copyright 2019 Netflix Inc.
Copyright 2019 Google LLC
"""
__license__ = """
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 cop... | dab-client/roundrobin.py | __copyright__ = """
Copyright 2019 Amazon.com, Inc. or its affiliates.
Copyright 2019 Netflix Inc.
Copyright 2019 Google LLC
"""
__license__ = """
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 cop... | 0.760606 | 0.166913 |
import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
"""PrismaCloudAttribution
"""
from typing import Dict, List, Any, Iterable, Union
import traceback
IPADDRESS_KEYS = ['publicIpAddress', 'natIP', 'publicIp', 'i... | Packs/PrismaCloud/Scripts/PrismaCloudAttribution/PrismaCloudAttribution.py | import demistomock as demisto
from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
"""PrismaCloudAttribution
"""
from typing import Dict, List, Any, Iterable, Union
import traceback
IPADDRESS_KEYS = ['publicIpAddress', 'natIP', 'publicIp', 'i... | 0.522202 | 0.131982 |
import sys
from unittest import skip
from django.core.management.commands import test
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.utils.module_loading import import_by_path
class Command(test.Command):
def handle(self, *args, **kwargs):
# Look fo... | djangae/management/commands/test.py | import sys
from unittest import skip
from django.core.management.commands import test
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.utils.module_loading import import_by_path
class Command(test.Command):
def handle(self, *args, **kwargs):
# Look fo... | 0.227298 | 0.145874 |
import msvcrt
import time
from threading import Thread
from mc_autosplit.utils.exception import FailedToReadAdvancements
from mc_autosplit.utils.mc_utils import get_last_played_level, get_advancements
from mc_autosplit.splitting import handle_advancement_changes
from mc_autosplit.watcher import PathWatcher
class Run... | mc_autosplit/run.py | import msvcrt
import time
from threading import Thread
from mc_autosplit.utils.exception import FailedToReadAdvancements
from mc_autosplit.utils.mc_utils import get_last_played_level, get_advancements
from mc_autosplit.splitting import handle_advancement_changes
from mc_autosplit.watcher import PathWatcher
class Run... | 0.240329 | 0.079746 |
import os
import shutil
import sys
import tempfile
import django
from pathlib2 import Path
# Path to the temp mezzanine project folder
TMP_PATH = Path(tempfile.mkdtemp()) / "project_template"
# Injected at the bottom of local_settings.py
TEST_SETTINGS = """
# START INJECTED SETTINGS
INSTALLED_APPS = list(INSTALLED_... | tests/conftest.py | import os
import shutil
import sys
import tempfile
import django
from pathlib2 import Path
# Path to the temp mezzanine project folder
TMP_PATH = Path(tempfile.mkdtemp()) / "project_template"
# Injected at the bottom of local_settings.py
TEST_SETTINGS = """
# START INJECTED SETTINGS
INSTALLED_APPS = list(INSTALLED_... | 0.227298 | 0.126704 |
import unittest
from uuid import uuid4
import docker
from sabotage import disconnected
class TestDisconnected(unittest.TestCase):
def _create_network(self, name=None, driver="bridge"):
network = self.client.networks.create(name if name else str(uuid4()), driver=driver)
self.networks += [network]... | tests/test_disconnected.py | import unittest
from uuid import uuid4
import docker
from sabotage import disconnected
class TestDisconnected(unittest.TestCase):
def _create_network(self, name=None, driver="bridge"):
network = self.client.networks.create(name if name else str(uuid4()), driver=driver)
self.networks += [network]... | 0.382487 | 0.157752 |
import datetime
import numpy as np
import pandas as pd
from pyspark.sql import functions
from cape_privacy.spark import dtypes
from cape_privacy.spark import utils
from cape_privacy.spark.transformations import rounding as rnd
# Utils
def _make_and_apply_rounder(sess, df, dtype, precision):
df = sess.createData... | cape_privacy/spark/transformations/rounding_test.py | import datetime
import numpy as np
import pandas as pd
from pyspark.sql import functions
from cape_privacy.spark import dtypes
from cape_privacy.spark import utils
from cape_privacy.spark.transformations import rounding as rnd
# Utils
def _make_and_apply_rounder(sess, df, dtype, precision):
df = sess.createData... | 0.798226 | 0.688907 |
import struct
import os
from pathlib import Path
import opencc
startPy = 0x1540 # 拼音表偏移
startChinese = 0x2628 # 汉语词组表偏移
GPy_Table = {} # 全局拼音表
GTable = [] # 解析结果, 元组(词频,拼音,中文词组)的列表
# 原始字节码转为字符串
def byte2str(data):
pos = 0
str = ''
while pos < ... | Code/scel2txt.py | import struct
import os
from pathlib import Path
import opencc
startPy = 0x1540 # 拼音表偏移
startChinese = 0x2628 # 汉语词组表偏移
GPy_Table = {} # 全局拼音表
GTable = [] # 解析结果, 元组(词频,拼音,中文词组)的列表
# 原始字节码转为字符串
def byte2str(data):
pos = 0
str = ''
while pos < ... | 0.154089 | 0.377483 |
from urllib.parse import quote_plus
from openai import api_requestor, util, error
from openai.api_resources.abstract import (
CreateableAPIResource,
ListableAPIResource,
nested_resource_class_methods,
)
from openai.api_resources.abstract.deletable_api_resource import DeletableAPIResource
from openai.openai... | openai/api_resources/fine_tune.py | from urllib.parse import quote_plus
from openai import api_requestor, util, error
from openai.api_resources.abstract import (
CreateableAPIResource,
ListableAPIResource,
nested_resource_class_methods,
)
from openai.api_resources.abstract.deletable_api_resource import DeletableAPIResource
from openai.openai... | 0.49707 | 0.095392 |
import sys, os
sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/../')
import numpy as np
# Internal
from lib.BFPConvertor import BFPConvertor
from lib import BFPActivation
from lib import BFPFullyConnet
# PyTorch
import torch
import torch.nn as nn
import torchvision
def conv3x3(in_planes, out_planes, st... | models/resnet.py | import sys, os
sys.path.append(os.path.dirname(os.path.abspath(__file__))+'/../')
import numpy as np
# Internal
from lib.BFPConvertor import BFPConvertor
from lib import BFPActivation
from lib import BFPFullyConnet
# PyTorch
import torch
import torch.nn as nn
import torchvision
def conv3x3(in_planes, out_planes, st... | 0.750644 | 0.2862 |
import git
from github import Github
from distutils.util import convert_path
import logging
import os
import shutil
import re
def copy_to_version(app, exception):
"""
We keep versioned docs in two situations:
- A new PR into dev from a feature branch (in versions/dev)
- A new release on main (in ver... | docs/_ext/versioned-tagged-docs.py | import git
from github import Github
from distutils.util import convert_path
import logging
import os
import shutil
import re
def copy_to_version(app, exception):
"""
We keep versioned docs in two situations:
- A new PR into dev from a feature branch (in versions/dev)
- A new release on main (in ver... | 0.243193 | 0.251211 |
# IMPORT STANDARD LIBRARIES
import os
# IMPORT THIRD-PARTY LIBRARIES
import vim
# IMPORT LOCAL LIBRARIES
from . import arg_list
from . import filer
def _esc(path):
'''str: Clean the given file/folder path so that Vim can understand it.'''
return path.replace(' ', '\ ')
def enter_arg_list():
'''Edit th... | pythonx/arggitter/arggitter.py | # IMPORT STANDARD LIBRARIES
import os
# IMPORT THIRD-PARTY LIBRARIES
import vim
# IMPORT LOCAL LIBRARIES
from . import arg_list
from . import filer
def _esc(path):
'''str: Clean the given file/folder path so that Vim can understand it.'''
return path.replace(' ', '\ ')
def enter_arg_list():
'''Edit th... | 0.271155 | 0.13589 |
import logging
import logging.config
import ServerSideExtension_pb2 as SSE
import grpc
import numpy
from ssedata import ArgType, FunctionType, ReturnType
class ScriptEval:
"""
Class for SSE plugin ScriptEval functionality.
"""
def EvaluateScript(self, header, request, context):
"""
E... | examples/python/fullscriptsupport/scripteval.py | import logging
import logging.config
import ServerSideExtension_pb2 as SSE
import grpc
import numpy
from ssedata import ArgType, FunctionType, ReturnType
class ScriptEval:
"""
Class for SSE plugin ScriptEval functionality.
"""
def EvaluateScript(self, header, request, context):
"""
E... | 0.738952 | 0.445047 |
import inspect
import json
from ordereddict import OrderedDict
from cfn_pyplates.exceptions import AddRemoveError
aws_template_format_version = '2010-09-09'
__all__ = [
'JSONableDict',
'CloudFormationTemplate',
'Parameters',
'Mappings',
'Resources',
'Outputs',
'Properties',
'Mapping'... | cfn_pyplates/core.py | import inspect
import json
from ordereddict import OrderedDict
from cfn_pyplates.exceptions import AddRemoveError
aws_template_format_version = '2010-09-09'
__all__ = [
'JSONableDict',
'CloudFormationTemplate',
'Parameters',
'Mappings',
'Resources',
'Outputs',
'Properties',
'Mapping'... | 0.775945 | 0.207275 |
import ics_to_csv
import pytest
import ics
import subprocess
import os
import uuid
# Bare minimum tests to make sure my sample doesn't break as time goes on
UUID = uuid.uuid4().hex[:10]
OUTPUT_FILE = f"holidays-test-{UUID}.csv"
TEST_CALENDAR_STRING=(
"BEGIN:VCALENDAR\n"
"VERSION:2.0\n"
"PRODID:-//Telerik I... | ics_to_csv_test.py | import ics_to_csv
import pytest
import ics
import subprocess
import os
import uuid
# Bare minimum tests to make sure my sample doesn't break as time goes on
UUID = uuid.uuid4().hex[:10]
OUTPUT_FILE = f"holidays-test-{UUID}.csv"
TEST_CALENDAR_STRING=(
"BEGIN:VCALENDAR\n"
"VERSION:2.0\n"
"PRODID:-//Telerik I... | 0.225672 | 0.214671 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from utils import device, MAX_LENGTH
# noinspection PyUnresolvedReferences,PyShadowingBuiltins
class AttnDecoder(nn.Module):
"""A decoder in seq2seq model using a gated recurrent unit (GRU) and attention.
"""
def __init__(self, output_di... | examples/deepsort/models/attn_decoder.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from utils import device, MAX_LENGTH
# noinspection PyUnresolvedReferences,PyShadowingBuiltins
class AttnDecoder(nn.Module):
"""A decoder in seq2seq model using a gated recurrent unit (GRU) and attention.
"""
def __init__(self, output_di... | 0.946399 | 0.394638 |
import tensorflow
from tensorflow.keras.layers import Conv2D, Input, Dense, MaxPool2D, BatchNormalization, GlobalAvgPool2D, Flatten
from tensorflow.keras import Model
# functional approach : function that returns a model
def functional_model():
my_input = Input(shape=(28,28,1))
x = Conv2D(32, (3,3), activatio... | deeplearning_models.py | import tensorflow
from tensorflow.keras.layers import Conv2D, Input, Dense, MaxPool2D, BatchNormalization, GlobalAvgPool2D, Flatten
from tensorflow.keras import Model
# functional approach : function that returns a model
def functional_model():
my_input = Input(shape=(28,28,1))
x = Conv2D(32, (3,3), activatio... | 0.888704 | 0.669664 |
from itertools import chain
from typing import List, Tuple, Callable
from iobes import TokenFunction, Span, Error
from iobes.parse import (
parse_spans_iob_with_errors,
parse_spans_bio_with_errors,
parse_spans_iobes_with_errors,
parse_spans_bilou_with_errors,
parse_spans_bmeow_with_errors,
)
from io... | iobes/convert.py | from itertools import chain
from typing import List, Tuple, Callable
from iobes import TokenFunction, Span, Error
from iobes.parse import (
parse_spans_iob_with_errors,
parse_spans_bio_with_errors,
parse_spans_iobes_with_errors,
parse_spans_bilou_with_errors,
parse_spans_bmeow_with_errors,
)
from io... | 0.878835 | 0.653873 |
# Importing the libraries
import csv
import numpy as np
# Loading the dataset
X_train_fpath = './data/X_train'
y_train_fpath = './data/Y_train'
X_test_fpath = './data/X_test'
with open(X_train_fpath) as f:
next(f)
X_train = np.array([line.strip('\n').split(',')[1:]
for line... | 01_Binary-Classification/Binary-Classification_Generative-Model.py | # Importing the libraries
import csv
import numpy as np
# Loading the dataset
X_train_fpath = './data/X_train'
y_train_fpath = './data/Y_train'
X_test_fpath = './data/X_test'
with open(X_train_fpath) as f:
next(f)
X_train = np.array([line.strip('\n').split(',')[1:]
for line... | 0.651798 | 0.590986 |
from unittest import TestCase
from httpobs.scanner.analyzer.content import contribute, subresource_integrity
from httpobs.tests.utils import empty_requests
class TestContribute(TestCase):
def setUp(self):
self.reqs = empty_requests()
def tearDown(self):
self.reqs = None
def test_no_cont... | functions/observatory/http-observatory/httpobs/tests/unittests/test_content.py | from unittest import TestCase
from httpobs.scanner.analyzer.content import contribute, subresource_integrity
from httpobs.tests.utils import empty_requests
class TestContribute(TestCase):
def setUp(self):
self.reqs = empty_requests()
def tearDown(self):
self.reqs = None
def test_no_cont... | 0.710829 | 0.441312 |
import os
import pathlib
import subprocess
from contextlib import contextmanager
from typing import Container, Generator, List, Optional, Union
class DockerComposeRuntimeError(RuntimeError):
pass
class DockerComposeExecutor:
def __init__(self, compose_file: str, timeout: int) -> None:
self._compose_... | tests/docker_compose_executor.py | import os
import pathlib
import subprocess
from contextlib import contextmanager
from typing import Container, Generator, List, Optional, Union
class DockerComposeRuntimeError(RuntimeError):
pass
class DockerComposeExecutor:
def __init__(self, compose_file: str, timeout: int) -> None:
self._compose_... | 0.625781 | 0.101233 |
import abc
import warnings
from typing import List, Optional, Sequence, Tuple, Union, cast
import torch
from .theseus_function import TheseusFunction
from .variable import Variable
# Abstract class for representing cost weights (aka, precisions, inverse covariance)
# Concrete classes must implement two methods:
# ... | theseus/core/cost_weight.py |
import abc
import warnings
from typing import List, Optional, Sequence, Tuple, Union, cast
import torch
from .theseus_function import TheseusFunction
from .variable import Variable
# Abstract class for representing cost weights (aka, precisions, inverse covariance)
# Concrete classes must implement two methods:
# ... | 0.940694 | 0.485295 |
import numpy as np
from builtins import TypeError
import matplotlib.pyplot as plt
import cv2
from collections import deque
# Define a class to receive the characteristics of each line detection
class Line():
# Define conversions in x and y from pixels space to meters
ym_per_pix = 30/720 # meters per pixel in y... | src/line.py | import numpy as np
from builtins import TypeError
import matplotlib.pyplot as plt
import cv2
from collections import deque
# Define a class to receive the characteristics of each line detection
class Line():
# Define conversions in x and y from pixels space to meters
ym_per_pix = 30/720 # meters per pixel in y... | 0.586049 | 0.666406 |
import warnings
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
def plot(
res: List[Dict[str, Union[np.ndarray, str, Dict]]],
legend: Optional[str] = None,
title: Optional[str] = None,
xlabel: Optional[str] = None,
ylabel: Optional[str] = None,
xlim: Optional[Tuple[f... | physical_validation/util/plot.py |
import warnings
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
def plot(
res: List[Dict[str, Union[np.ndarray, str, Dict]]],
legend: Optional[str] = None,
title: Optional[str] = None,
xlabel: Optional[str] = None,
ylabel: Optional[str] = None,
xlim: Optional[Tuple[f... | 0.783658 | 0.446374 |
from random import uniform
from GA_2D import initialize2D, select2D, crossover2D, mutate2D
from GA_3D import initialize3D, select3D, crossover3D, mutate3D
from HC_2D import *
from HC_3D import *
def GA_first(chromosome):
avg_chromosome = []
for i in range(100):
for i in range(1000):
# Sele... | main.py | from random import uniform
from GA_2D import initialize2D, select2D, crossover2D, mutate2D
from GA_3D import initialize3D, select3D, crossover3D, mutate3D
from HC_2D import *
from HC_3D import *
def GA_first(chromosome):
avg_chromosome = []
for i in range(100):
for i in range(1000):
# Sele... | 0.419648 | 0.519156 |
import sys
from argparse import ArgumentParser
from logging import getLogger
from os.path import dirname
from rdflib import Graph, Namespace
from utils import (
find_conversions,
execute_conversions,
standardize_namespaces,
get_output_filename,
)
"""
Argument Parsing:
source: source version (for examp... | tools/convert/convert.py | import sys
from argparse import ArgumentParser
from logging import getLogger
from os.path import dirname
from rdflib import Graph, Namespace
from utils import (
find_conversions,
execute_conversions,
standardize_namespaces,
get_output_filename,
)
"""
Argument Parsing:
source: source version (for examp... | 0.480235 | 0.169372 |
import os
import hashlib
import tempfile
from exiftool import ExifTool
from flask import Flask, request, jsonify
app = Flask(__name__, template_folder="views", static_folder="public", static_url_path="/")
app.config["MAX_CONTENT_LENGTH"] = 100 * 1024
secret = os.getenv("SECRET") or "BSidesTLV2021{This_Is_Not_T... | BSidesTLV/2021/web/Intellimage/index.py | import os
import hashlib
import tempfile
from exiftool import ExifTool
from flask import Flask, request, jsonify
app = Flask(__name__, template_folder="views", static_folder="public", static_url_path="/")
app.config["MAX_CONTENT_LENGTH"] = 100 * 1024
secret = os.getenv("SECRET") or "BSidesTLV2021{This_Is_Not_T... | 0.215516 | 0.088465 |
from __future__ import print_function
import argparse
import os
import pickle
import subprocess
import sys
from Bio import SeqIO
from collections import defaultdict
def generate_fasta_entries(input_fasta, output_fasta):
""" Converts neoepiscope output FASTAs new FASTA file with IDs as headers,
storing IDs as a dic... | scripts/generate_netctlpan_data.py |
from __future__ import print_function
import argparse
import os
import pickle
import subprocess
import sys
from Bio import SeqIO
from collections import defaultdict
def generate_fasta_entries(input_fasta, output_fasta):
""" Converts neoepiscope output FASTAs new FASTA file with IDs as headers,
storing IDs as a dic... | 0.434221 | 0.238129 |
from __future__ import annotations
from typing import Any
import numpy as np
from .base_layer import BaseLayer, LayerInputType
class BatchNorm(BaseLayer):
"""Batch normalization layer.
Inherits from
----------
BaseLayer
Attributes
----------
axis: int
Axis along which batch no... | dnn/layers/batch_norm.py | from __future__ import annotations
from typing import Any
import numpy as np
from .base_layer import BaseLayer, LayerInputType
class BatchNorm(BaseLayer):
"""Batch normalization layer.
Inherits from
----------
BaseLayer
Attributes
----------
axis: int
Axis along which batch no... | 0.975987 | 0.732472 |
# Author......: See docs/credits.txt
# License.....: MIT
# Target......: Exodus wallet extractor
# Example.....: exodus2hashcat.py <path to exodus seed seco file>
import binascii
import sys
import hashlib
from Crypto.Cipher import AES
import base64
import os.path
METADATA_LEN = 256
HEADER_LEN = 224
CRC_LEN = 32
LEN_... | tools/exodus2hashcat.py |
# Author......: See docs/credits.txt
# License.....: MIT
# Target......: Exodus wallet extractor
# Example.....: exodus2hashcat.py <path to exodus seed seco file>
import binascii
import sys
import hashlib
from Crypto.Cipher import AES
import base64
import os.path
METADATA_LEN = 256
HEADER_LEN = 224
CRC_LEN = 32
LEN_... | 0.37502 | 0.180594 |
import os
import sys
# dont do this in production code, this is bad practice it would seem, only for tests
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '/../../servicemanager'))
from servicemanager.actions import actions
from servicemanager.serviceresolver import ServiceResolver
from servicemanager.smc... | test/it/testbase.py | import os
import sys
# dont do this in production code, this is bad practice it would seem, only for tests
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '/../../servicemanager'))
from servicemanager.actions import actions
from servicemanager.serviceresolver import ServiceResolver
from servicemanager.smc... | 0.243103 | 0.164684 |
import warnings
import math
import re
from functools import wraps
from collections import namedtuple
from datetime import datetime
import urllib
import pytz
import cherrypy
import gnupg
from jinja2 import Environment, PackageLoader
from dateutil import parser as date_parser
from wtforms import Form, TextField, Passwor... | ensconce/webapp/tree/__init__.py | import warnings
import math
import re
from functools import wraps
from collections import namedtuple
from datetime import datetime
import urllib
import pytz
import cherrypy
import gnupg
from jinja2 import Environment, PackageLoader
from dateutil import parser as date_parser
from wtforms import Form, TextField, Passwor... | 0.393269 | 0.082734 |
import pytest
from nlp import Morphology
from etc import all_entitis
class TestNLP:
def setup(self):
self.morph = Morphology(all_entitis)
@pytest.mark.parametrize("phrase,expect", [
pytest.param('Включи свет в коридоре',
{'device_action': 'turn_on', 'device': 'light', 'place': 'hall'... | test/test_npl.py | import pytest
from nlp import Morphology
from etc import all_entitis
class TestNLP:
def setup(self):
self.morph = Morphology(all_entitis)
@pytest.mark.parametrize("phrase,expect", [
pytest.param('Включи свет в коридоре',
{'device_action': 'turn_on', 'device': 'light', 'place': 'hall'... | 0.239972 | 0.571438 |
from __future__ import annotations
import math
import time
from concurrent.futures import Executor
from threading import Event
from typing import Any, Dict
from qmixsdk.qmixpump import ContiFlowProperty, ContiFlowPump, ContiFlowSwitchingMode
from sila2.framework import FullyQualifiedIdentifier
from sila2.framework.er... | sila_cetoni/pumps/contiflowpumps/sila/contiflowpump_service/feature_implementations/continuousflowconfigurationservice_impl.py | from __future__ import annotations
import math
import time
from concurrent.futures import Executor
from threading import Event
from typing import Any, Dict
from qmixsdk.qmixpump import ContiFlowProperty, ContiFlowPump, ContiFlowSwitchingMode
from sila2.framework import FullyQualifiedIdentifier
from sila2.framework.er... | 0.562657 | 0.24197 |
import urllib.request
import json
import SettingsAndPreferences as settings
import sys
oauth = settings.findValue("APIOauth").strip()
clientid = settings.findValue("ClientID").strip()
nick = settings.findValue("JOIN").strip()
lastData = {}
def parseInfo(url, lookfor):
headers={
'Accept': 'application/vnd.twit... | TwitchAPI.py | import urllib.request
import json
import SettingsAndPreferences as settings
import sys
oauth = settings.findValue("APIOauth").strip()
clientid = settings.findValue("ClientID").strip()
nick = settings.findValue("JOIN").strip()
lastData = {}
def parseInfo(url, lookfor):
headers={
'Accept': 'application/vnd.twit... | 0.081189 | 0.071819 |
from __future__ import absolute_import
from flytekit import configuration as _config
from flytekit.clis.sdk_in_container import constants as _constants
from flytekit.clis.sdk_in_container import pyflyte as _pyflyte
from flytekit.tools import module_loader as _module_loader
from click.testing import CliRunner
import moc... | tests/flytekit/unit/cli/pyflyte/conftest.py | from __future__ import absolute_import
from flytekit import configuration as _config
from flytekit.clis.sdk_in_container import constants as _constants
from flytekit.clis.sdk_in_container import pyflyte as _pyflyte
from flytekit.tools import module_loader as _module_loader
from click.testing import CliRunner
import moc... | 0.396302 | 0.105303 |
import numpy as np
import cv2
import h5py
import glob
import os
from keras.models import model_from_json
from retipy import retina
from retipy import landmarks as l
"""Module with operations related to classify vessels into arteries and veins."""
_base_directory_training = 'retipy/resources/images/drive/training/'
_b... | M3_feature_zone/retipy/retipy/vessel_classification.py | import numpy as np
import cv2
import h5py
import glob
import os
from keras.models import model_from_json
from retipy import retina
from retipy import landmarks as l
"""Module with operations related to classify vessels into arteries and veins."""
_base_directory_training = 'retipy/resources/images/drive/training/'
_b... | 0.428712 | 0.330687 |
## Set up code checking
import os
if not os.path.exists("../input/train.csv"):
os.symlink("../input/home-data-for-ml-course/train.csv", "../input/train.csv")
os.symlink("../input/home-data-for-ml-course/test.csv", "../input/test.csv")
from learntools.core import binder
binder.bind(globals())
from learntools.ml... | Intermediate Machine Learning/Exercise 5.py |
## Set up code checking
import os
if not os.path.exists("../input/train.csv"):
os.symlink("../input/home-data-for-ml-course/train.csv", "../input/train.csv")
os.symlink("../input/home-data-for-ml-course/test.csv", "../input/test.csv")
from learntools.core import binder
binder.bind(globals())
from learntools.ml... | 0.511717 | 0.337954 |
import os
import binascii
from koppercoin.crypto import ietf_ed25519, lww_signature
def keygen():
"""Returns a longtime keypair (secret, public) such that one can
derive further keys from the public key.
These are basically two usual ECC-keypairs.
"""
(secret1, public1) = lww_signature.keygen()
... | koppercoin/crypto/onetime_keys.py | import os
import binascii
from koppercoin.crypto import ietf_ed25519, lww_signature
def keygen():
"""Returns a longtime keypair (secret, public) such that one can
derive further keys from the public key.
These are basically two usual ECC-keypairs.
"""
(secret1, public1) = lww_signature.keygen()
... | 0.690246 | 0.462959 |
from psycopg2.extensions import AsIs
from skygear.utils import db
from .exc import AlreadyDeletedException
from .predicate import Predicate
from .pubsub import _publish_record_event
from .query import Query
from .record import ChatRecord
from .user_conversation import UserConversation
from .utils import _get_schema_n... | chat-plugin/chat/message.py | from psycopg2.extensions import AsIs
from skygear.utils import db
from .exc import AlreadyDeletedException
from .predicate import Predicate
from .pubsub import _publish_record_event
from .query import Query
from .record import ChatRecord
from .user_conversation import UserConversation
from .utils import _get_schema_n... | 0.505371 | 0.099252 |
import numpy as np
from astropy import units as u
from gammapy.modeling import Parameter
from .spectral import PowerLawSpectralModel, SpectralModel
class _LogGaussianSpectralModel(SpectralModel):
r"""Log Gaussian spectral model with a weird parametrisation.
This should not be exposed to end-users as a Gammap... | gammapy/modeling/models/spectral_cosmic_ray.py | import numpy as np
from astropy import units as u
from gammapy.modeling import Parameter
from .spectral import PowerLawSpectralModel, SpectralModel
class _LogGaussianSpectralModel(SpectralModel):
r"""Log Gaussian spectral model with a weird parametrisation.
This should not be exposed to end-users as a Gammap... | 0.929576 | 0.574216 |
from lapixdl.evaluation.model import BinaryDetectionMetrics, BinaryClassificationMetrics, PredictionResult, PredictionResultType
import pytest
# From https://github.com/rafaelpadilla/Object-Detection-Metrics
predictions = [
PredictionResult(.88, PredictionResultType.FP),
PredictionResult(.70, PredictionResultT... | tests/evaluation/model/test_BinaryDetectionMetrics.py | from lapixdl.evaluation.model import BinaryDetectionMetrics, BinaryClassificationMetrics, PredictionResult, PredictionResultType
import pytest
# From https://github.com/rafaelpadilla/Object-Detection-Metrics
predictions = [
PredictionResult(.88, PredictionResultType.FP),
PredictionResult(.70, PredictionResultT... | 0.831759 | 0.540681 |
from common.config import *
from components.dataset import *
from grammar.grammar import Grammar
from grammar.turk.turk_transition_system import TurkTransitionSystem
from models.ASN import ASNParser
from models import nn_utils
from torch import optim
import os
import time
def train(args):
train_set = Dataset.fr... | train.py | from common.config import *
from components.dataset import *
from grammar.grammar import Grammar
from grammar.turk.turk_transition_system import TurkTransitionSystem
from models.ASN import ASNParser
from models import nn_utils
from torch import optim
import os
import time
def train(args):
train_set = Dataset.fr... | 0.673729 | 0.199639 |
import json
import time
from indy import ledger, did, wallet, pool
from src.utils import get_pool_genesis_txn_path, run_coroutine, PROTOCOL_VERSION
import logging
logger = logging.getLogger(__name__)
async def demo():
logger.info("Ledger sample -> started")
# Set protocol version 2 to work with Indy Node 1... | samples/python/src/ledger.py | import json
import time
from indy import ledger, did, wallet, pool
from src.utils import get_pool_genesis_txn_path, run_coroutine, PROTOCOL_VERSION
import logging
logger = logging.getLogger(__name__)
async def demo():
logger.info("Ledger sample -> started")
# Set protocol version 2 to work with Indy Node 1... | 0.221351 | 0.197251 |
import copy
import logging
from itertools import count
import numpy as np
import torch
from fvcore.transforms import HFlipTransform
from torch import nn
from torch.nn.parallel import DistributedDataParallel
from detectron2.data.detection_utils import read_image
from detectron2.modeling import DatasetMapperTTA
__all... | mask2former/test_time_augmentation.py | import copy
import logging
from itertools import count
import numpy as np
import torch
from fvcore.transforms import HFlipTransform
from torch import nn
from torch.nn.parallel import DistributedDataParallel
from detectron2.data.detection_utils import read_image
from detectron2.modeling import DatasetMapperTTA
__all... | 0.921358 | 0.44089 |
import sys
import glob
import re
from pylab import *
from scipy.ndimage.measurements import center_of_mass
from collections import defaultdict
def find_next_while_pixel(image):
"""
Coordinates of the first white pixel in a binary image
Returns i,j image coordinates
"""
coords = nonzero(image)
i... | calibration/stars.py | import sys
import glob
import re
from pylab import *
from scipy.ndimage.measurements import center_of_mass
from collections import defaultdict
def find_next_while_pixel(image):
"""
Coordinates of the first white pixel in a binary image
Returns i,j image coordinates
"""
coords = nonzero(image)
i... | 0.623835 | 0.519095 |
import unittest
import datetime
import os.path
from davies.compass import *
DATA_DIR = 'tests/data/compass'
# Example Compass Project with:
# - NAD83 UTM Zone 13 base location
# - Two imported Data Files
# - One with 25 cave surveys, four fixed stations
# - One with 4 surface surveys
TESTFILE = os.path.join(DAT... | tests/test_compass.py | import unittest
import datetime
import os.path
from davies.compass import *
DATA_DIR = 'tests/data/compass'
# Example Compass Project with:
# - NAD83 UTM Zone 13 base location
# - Two imported Data Files
# - One with 25 cave surveys, four fixed stations
# - One with 4 surface surveys
TESTFILE = os.path.join(DAT... | 0.424412 | 0.529203 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases()
from builtins import *
from builtins import object
from copy import deepcopy
from genestack_client... | genestack_client/file_filters.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases()
from builtins import *
from builtins import object
from copy import deepcopy
from genestack_client... | 0.874104 | 0.185301 |
import json
import os
import logging
from common import (common_const, utils, line)
from validation.table_order_param_check import TableOrderParamCheck
from table_order.table_order_payment_order_info import TableOrderPaymentOrderInfo # noqa501
import paypayopa
# 環境変数
REDIRECT_URL = os.environ.get("REDIRECT_URL")
LO... | backend/APP/payment_create_qr_code/create_qr_code.py | import json
import os
import logging
from common import (common_const, utils, line)
from validation.table_order_param_check import TableOrderParamCheck
from table_order.table_order_payment_order_info import TableOrderPaymentOrderInfo # noqa501
import paypayopa
# 環境変数
REDIRECT_URL = os.environ.get("REDIRECT_URL")
LO... | 0.30767 | 0.084266 |
"""The classes and predicates to assist validate test config for test cases."""
from dataclasses import dataclass
import enum
import logging
import re
from typing import Callable, Optional
import unittest
from packaging import version as pkg_version
from framework import xds_flags
from framework import xds_k8s_flags
... | tools/run_tests/xds_k8s_test_driver/framework/helpers/skips.py | """The classes and predicates to assist validate test config for test cases."""
from dataclasses import dataclass
import enum
import logging
import re
from typing import Callable, Optional
import unittest
from packaging import version as pkg_version
from framework import xds_flags
from framework import xds_k8s_flags
... | 0.89217 | 0.358718 |
from django.contrib.auth import authenticate, get_user_model
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers
from rest_framework.authtoken.serializers import AuthTokenSerializer
from .models import (Category, Question, Comment, Request, Expen... | api/serializers.py | from django.contrib.auth import authenticate, get_user_model
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from rest_framework import serializers
from rest_framework.authtoken.serializers import AuthTokenSerializer
from .models import (Category, Question, Comment, Request, Expen... | 0.633297 | 0.110136 |
[
{
'date': '2014-01-01',
'description': 'Capodanno',
'locale': 'it-IT',
'notes': '',
'region': '',
'type': 'NF'
},
{
'date': '2014-01-06',
'description': 'Epifania',
'locale': 'it-IT',
'notes': '',
'region': '',
... | tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[it_IT-2014] 1.py | [
{
'date': '2014-01-01',
'description': 'Capodanno',
'locale': 'it-IT',
'notes': '',
'region': '',
'type': 'NF'
},
{
'date': '2014-01-06',
'description': 'Epifania',
'locale': 'it-IT',
'notes': '',
'region': '',
... | 0.399343 | 0.118334 |
from __future__ import (
print_function,
division,
absolute_import,
)
from collections import defaultdict
import numpy as np
from fancyimpute.knn import KNN
from fancyimpute.iterative_svd import IterativeSVD
from fancyimpute.simple_fill import SimpleFill
from fancyimpute.soft_impute import SoftImpute
from... | mhcflurry/imputation_helpers.py |
from __future__ import (
print_function,
division,
absolute_import,
)
from collections import defaultdict
import numpy as np
from fancyimpute.knn import KNN
from fancyimpute.iterative_svd import IterativeSVD
from fancyimpute.simple_fill import SimpleFill
from fancyimpute.soft_impute import SoftImpute
from... | 0.785802 | 0.312213 |
import numpy as np
import torch
from torch import nn
import copy
def pad_circular(x, pad):
"""
:param x: shape [B, C, H, W]
:param pad: int >= 0
:return:
"""
x = torch.cat([x, x[:, :, 0:pad, :]], dim=2)
x = torch.cat([x, x[:, :, :, 0:pad]], dim=3)
x = torch.cat([x[:, :, -2 * pad:-pad, ... | game_of_life/envs/world_pytorch.py | import numpy as np
import torch
from torch import nn
import copy
def pad_circular(x, pad):
"""
:param x: shape [B, C, H, W]
:param pad: int >= 0
:return:
"""
x = torch.cat([x, x[:, :, 0:pad, :]], dim=2)
x = torch.cat([x, x[:, :, :, 0:pad]], dim=3)
x = torch.cat([x[:, :, -2 * pad:-pad, ... | 0.800887 | 0.679571 |
import json
import os
import glob
import torch
from argparse import ArgumentParser
import cv2
import numpy as np
import tqdm
from segmentation.models import get_segmentation_model
from utils.image_transforms import get_crop
RESIZE_DIMS = (122, 28)
from utils.image_transforms import get_crop, apply_mask, get_sorted_p... | src/scripts/test-segmentation.py | import json
import os
import glob
import torch
from argparse import ArgumentParser
import cv2
import numpy as np
import tqdm
from segmentation.models import get_segmentation_model
from utils.image_transforms import get_crop
RESIZE_DIMS = (122, 28)
from utils.image_transforms import get_crop, apply_mask, get_sorted_p... | 0.486088 | 0.195057 |
from math import cos, pi, sqrt
class GameTile:
CO = cos(pi / 6)
def __init__(self, x, y):
self.x = x
self.y = y
self._x = self.x * self.CO
def dist(self, other):
return sqrt((self._x - other._x) ** 2 + (self.y - other.y) ** 2)
def neighbours(self):
return [
... | gametile.py | from math import cos, pi, sqrt
class GameTile:
CO = cos(pi / 6)
def __init__(self, x, y):
self.x = x
self.y = y
self._x = self.x * self.CO
def dist(self, other):
return sqrt((self._x - other._x) ** 2 + (self.y - other.y) ** 2)
def neighbours(self):
return [
... | 0.867345 | 0.398406 |
import torch
import pandas as pd
import numpy as np
from torch.utils.data import Dataset
from PIL import Image
import os, wget
__all__ = ['RefurbishCIFAR100']
class RefurbishCIFAR100(Dataset):
def __init__(self, root, refur=False, use_certain=False, transforms=None, target_transforms=None, download=True, verbose=... | data_utils/refurbish_cifar100.py | import torch
import pandas as pd
import numpy as np
from torch.utils.data import Dataset
from PIL import Image
import os, wget
__all__ = ['RefurbishCIFAR100']
class RefurbishCIFAR100(Dataset):
def __init__(self, root, refur=False, use_certain=False, transforms=None, target_transforms=None, download=True, verbose=... | 0.504394 | 0.317955 |