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 os
import pytest
from diffsync.exceptions import ObjectNotFound
import network_importer.config as config
from network_importer.adapters.nautobot_api.models import NautobotInterface, NautobotDevice, NautobotVlan
from network_importer.adapters.nautobot_api.exceptions import NautobotObjectNotValid
ROOT = os.path... | tests/unit/adapters/nautobot_api/models/test_nautobot_interface.py | import os
import pytest
from diffsync.exceptions import ObjectNotFound
import network_importer.config as config
from network_importer.adapters.nautobot_api.models import NautobotInterface, NautobotDevice, NautobotVlan
from network_importer.adapters.nautobot_api.exceptions import NautobotObjectNotValid
ROOT = os.path... | 0.50708 | 0.426441 |
import SimpleHTTPServer
import SocketServer
import os
from urlparse import parse_qs
from cgi import parse_header
import shutil
import json
from subprocess import Popen, PIPE, STDOUT
PORT = 8000
def get_directory(name):
return os.path.abspath(os.path.join(os.path.dirname(__file__), '..', name))
# Add the corresp... | srv/server27plain.py |
import SimpleHTTPServer
import SocketServer
import os
from urlparse import parse_qs
from cgi import parse_header
import shutil
import json
from subprocess import Popen, PIPE, STDOUT
PORT = 8000
def get_directory(name):
return os.path.abspath(os.path.join(os.path.dirname(__file__), '..', name))
# Add the corresp... | 0.143278 | 0.071332 |
import math
import torch
import torch.nn as nn
from timm.models.layers import to_2tuple, trunc_normal_
class AttentionWithRelPos(nn.Module):
def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.,
attn_map_dim=None, num_cls_tokens=1):
super().__i... | regionvit/attention/attention_variants.py |
import math
import torch
import torch.nn as nn
from timm.models.layers import to_2tuple, trunc_normal_
class AttentionWithRelPos(nn.Module):
def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.,
attn_map_dim=None, num_cls_tokens=1):
super().__i... | 0.874225 | 0.46563 |
import json
from flask import current_app
import requests
from requests.auth import HTTPBasicAuth
class TidePool():
"""A handle to the TP backend"""
def __init__(self, account: dict):
"""Init object from env settings"""
current_app.logger.info('Called TP init: ' + account['username'])
... | demos/proxy/app/tidepool.py | import json
from flask import current_app
import requests
from requests.auth import HTTPBasicAuth
class TidePool():
"""A handle to the TP backend"""
def __init__(self, account: dict):
"""Init object from env settings"""
current_app.logger.info('Called TP init: ' + account['username'])
... | 0.213295 | 0.049085 |
import copy
import numpy as np
import graphgallery as gg
def subgraph(graph, *,
nodes_to_keep=None,
nodes_to_remove=None):
r"""Create a graph with the specified subset of nodes.
Exactly one of (nodes_to_remove, nodes_to_keep) should be provided, while the other stays None.
... | graphgallery/functional/graph_level/subgraph.py | import copy
import numpy as np
import graphgallery as gg
def subgraph(graph, *,
nodes_to_keep=None,
nodes_to_remove=None):
r"""Create a graph with the specified subset of nodes.
Exactly one of (nodes_to_remove, nodes_to_keep) should be provided, while the other stays None.
... | 0.40028 | 0.436862 |
from office365.runtime.client_result import ClientResult
from office365.runtime.client_value_collection import ClientValueCollection
from office365.runtime.queries.client_query import ClientQuery
from office365.runtime.queries.service_operation_query import ServiceOperationQuery
from office365.runtime.resource_path imp... | office365/sharepoint/webs/web.py | from office365.runtime.client_result import ClientResult
from office365.runtime.client_value_collection import ClientValueCollection
from office365.runtime.queries.client_query import ClientQuery
from office365.runtime.queries.service_operation_query import ServiceOperationQuery
from office365.runtime.resource_path imp... | 0.717111 | 0.063279 |
import base64
import json
from flask import url_for
headers = {"Authorization": "Basic %s" % base64.b64encode(bytes("admin1:pass1", 'ascii')).decode('ascii')}
def post_message(client, data):
messages = client.post(url_for("messages"), data=json.dumps(data), headers=headers)
assert messages.status_code == 200... | tests/test_controllers.py | import base64
import json
from flask import url_for
headers = {"Authorization": "Basic %s" % base64.b64encode(bytes("admin1:pass1", 'ascii')).decode('ascii')}
def post_message(client, data):
messages = client.post(url_for("messages"), data=json.dumps(data), headers=headers)
assert messages.status_code == 200... | 0.318485 | 0.292498 |
# -*- coding: utf-8 -*-
from contextlib import closing
from django.urls import reverse
from django.test import TestCase
from huxley.core.models import Assignment, Committee, Country, Delegate, School
from huxley.utils.test import models, TestFiles
class DelegateAdminTest(TestCase):
fixtures = ['conference']
... | huxley/core/tests/admin/test_delegate.py |
# -*- coding: utf-8 -*-
from contextlib import closing
from django.urls import reverse
from django.test import TestCase
from huxley.core.models import Assignment, Committee, Country, Delegate, School
from huxley.utils.test import models, TestFiles
class DelegateAdminTest(TestCase):
fixtures = ['conference']
... | 0.333937 | 0.226292 |
import collections
import warnings
import imp
class Dispatcher(object):
"""
Construct a Dispatcher from profiles (paths to python modules)
TODO: warn on shadowing an existing definition from another module
TODO: fix bug - spreading the logic for one action across multiple
modules does not wor... | yuuki/dispatch.py | import collections
import warnings
import imp
class Dispatcher(object):
"""
Construct a Dispatcher from profiles (paths to python modules)
TODO: warn on shadowing an existing definition from another module
TODO: fix bug - spreading the logic for one action across multiple
modules does not wor... | 0.222616 | 0.179836 |
import click
import logging
import shutil
import os
import lmctl.cli.lifecycle as lifecycle_cli
import lmctl.project.package.core as pkgs
from lmctl.cli.format import determine_format_class
from lmctl.cli.cmd_tags import project_tag
logger = logging.getLogger(__name__)
@project_tag
@click.group(short_help='Onboard a ... | lmctl/cli/commands/pkg.py | import click
import logging
import shutil
import os
import lmctl.cli.lifecycle as lifecycle_cli
import lmctl.project.package.core as pkgs
from lmctl.cli.format import determine_format_class
from lmctl.cli.cmd_tags import project_tag
logger = logging.getLogger(__name__)
@project_tag
@click.group(short_help='Onboard a ... | 0.330687 | 0.105995 |
from logging import getLogger
from pkg_resources import get_distribution
from openprocurement.auctions.core.utils import (
# remove_draft_bids,
upload_file as base_upload_file,
get_file as base_get_file,
API_DOCUMENT_BLACKLISTED_FIELDS as DOCUMENT_BLACKLISTED_FIELDS,
context_unpack,
calculate_... | openprocurement/auctions/geb/utils.py | from logging import getLogger
from pkg_resources import get_distribution
from openprocurement.auctions.core.utils import (
# remove_draft_bids,
upload_file as base_upload_file,
get_file as base_get_file,
API_DOCUMENT_BLACKLISTED_FIELDS as DOCUMENT_BLACKLISTED_FIELDS,
context_unpack,
calculate_... | 0.493409 | 0.157396 |
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
import os
import tempfile
import unittest
from chainer import optimizers
from chainer import testin... | tests/agents_tests/test_agents.py | from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
import os
import tempfile
import unittest
from chainer import optimizers
from chainer import testin... | 0.703549 | 0.406626 |
import os
import os.path
import requests
from vgazer.command import RunCommand
from vgazer.exceptions import CommandError
from vgazer.exceptions import InstallError
from vgazer.platform import GetInstallPrefix
from vgazer.platform import GetPkgConfig
from vgazer.platform import GetTriplet
from vgazer.st... | vgazer/install/custom_installer/freetype.py | import os
import os.path
import requests
from vgazer.command import RunCommand
from vgazer.exceptions import CommandError
from vgazer.exceptions import InstallError
from vgazer.platform import GetInstallPrefix
from vgazer.platform import GetPkgConfig
from vgazer.platform import GetTriplet
from vgazer.st... | 0.134577 | 0.055413 |
CORRUPTION_SCORES = {")": 3, "]": 57, "}": 1197, ">": 25137}
AUTOCOMPLETION_SCORES = {")": 1, "]": 2, "}": 3, ">": 4}
OPENING_BRACKETS = "({[<"
OPEN2CLOSE = {"(": ")", "[": "]", "{": "}", "<": ">"}
TEST_FILENAME = "test_advent10.txt"
def read_input(filename=TEST_FILENAME):
"""return test data if no file is given"... | 10/advent10.py | CORRUPTION_SCORES = {")": 3, "]": 57, "}": 1197, ">": 25137}
AUTOCOMPLETION_SCORES = {")": 1, "]": 2, "}": 3, ">": 4}
OPENING_BRACKETS = "({[<"
OPEN2CLOSE = {"(": ")", "[": "]", "{": "}", "<": ">"}
TEST_FILENAME = "test_advent10.txt"
def read_input(filename=TEST_FILENAME):
"""return test data if no file is given"... | 0.434941 | 0.253465 |
import logging
import subprocess
# ========== Logging setup ==========
syslog = logging.getLogger(__name__)
# ========== Classes ==========
class RepoAddError(BaseException):
"""Exception when the repo-add or repo-remove script fails."""
# ========== Functions ==========
def db_modify(operation, db, *args):
... | packaging_scripts/repos.py | import logging
import subprocess
# ========== Logging setup ==========
syslog = logging.getLogger(__name__)
# ========== Classes ==========
class RepoAddError(BaseException):
"""Exception when the repo-add or repo-remove script fails."""
# ========== Functions ==========
def db_modify(operation, db, *args):
... | 0.516108 | 0.171824 |
import json
import re
import nibabel
import numpy
import spire
from .. import entrypoint
from ..cli import *
class TotalField(spire.TaskFactory):
""" Unwrapping and total susceptibility field of the MEDI toolbox.
"""
def __init__(
self, magnitude: str, phase: str, f_total: str, medi_tool... | src/erwin/qsm/total_field.py | import json
import re
import nibabel
import numpy
import spire
from .. import entrypoint
from ..cli import *
class TotalField(spire.TaskFactory):
""" Unwrapping and total susceptibility field of the MEDI toolbox.
"""
def __init__(
self, magnitude: str, phase: str, f_total: str, medi_tool... | 0.697197 | 0.331444 |
import sys
import requests
from lxml import etree
import json
import time
class DigCvnt:
def __init__(self):
self.url = "http://www.rrys2019.com/user/login"
self.headers = {
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.1... | digcvnt.py |
import sys
import requests
from lxml import etree
import json
import time
class DigCvnt:
def __init__(self):
self.url = "http://www.rrys2019.com/user/login"
self.headers = {
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.1... | 0.090552 | 0.065845 |
import functools
import logging
from typing import Dict, Union
import attrdict
import datasets
import numpy as np
import transformers
import determined.pytorch as det_torch
import model_hub.huggingface as hf
import model_hub.utils as utils
class XNLITrial(hf.BaseTransformerTrial):
def __init__(self, context: de... | model_hub/examples/huggingface/text-classification/xnli_trial.py | import functools
import logging
from typing import Dict, Union
import attrdict
import datasets
import numpy as np
import transformers
import determined.pytorch as det_torch
import model_hub.huggingface as hf
import model_hub.utils as utils
class XNLITrial(hf.BaseTransformerTrial):
def __init__(self, context: de... | 0.894209 | 0.313945 |
import json
import multiprocessing
import os
import tempfile
import tensorflow as tf
from sagemaker_tensorflow import PipeModeDataset
print("Starting estimator script")
ds = PipeModeDataset("elizabeth")
class BenchmarkConfig(object):
def __init__(self):
self.hp = json.load(open('/opt/ml/input/config/hy... | test/integ/scripts/estimator_script.py | import json
import multiprocessing
import os
import tempfile
import tensorflow as tf
from sagemaker_tensorflow import PipeModeDataset
print("Starting estimator script")
ds = PipeModeDataset("elizabeth")
class BenchmarkConfig(object):
def __init__(self):
self.hp = json.load(open('/opt/ml/input/config/hy... | 0.712532 | 0.176743 |
import argparse
data_dir = "data/"
def get_argparser(experiment="ersstv5"):
"""
:param experiment: ersstv5, or cnn_data
:return:
"""
parser = argparse.ArgumentParser(description='PyTorch ENSO Time series forecasting')
parser.add_argument("--data_dir", type=str, default=r'data/')
parser.... | hyperparams_and_args.py | import argparse
data_dir = "data/"
def get_argparser(experiment="ersstv5"):
"""
:param experiment: ersstv5, or cnn_data
:return:
"""
parser = argparse.ArgumentParser(description='PyTorch ENSO Time series forecasting')
parser.add_argument("--data_dir", type=str, default=r'data/')
parser.... | 0.732687 | 0.121035 |
import base64
import json
import time
import sdk.util as util
from sdk.data.Mappable import Mappable
class CANFrame(Mappable):
"""CAN Frame data class"""
__slots__ = ('timestamp', 'frame_id', 'data', 'response')
def __init__(self, frame_id, data):
"""
:param int frame_id:
:param... | python/sdk/data/CANFrame.py | import base64
import json
import time
import sdk.util as util
from sdk.data.Mappable import Mappable
class CANFrame(Mappable):
"""CAN Frame data class"""
__slots__ = ('timestamp', 'frame_id', 'data', 'response')
def __init__(self, frame_id, data):
"""
:param int frame_id:
:param... | 0.486332 | 0.236307 |
import shutil, path
import names
random = names.random
random.seed(0)
fname = path.Path(__file__).stem
root = path.Path(f'{fname}_cases')
if not root.exists():
root.mkdir()
names_bank = [names.get_full_name() for _ in range(30)]
gen_grade = lambda: random.randint(0, 100)
gen_sid = lambda: f'520... | codes/20fall/lab08/学生成绩管理程序/lab08_学生成绩管理程序.py | import shutil, path
import names
random = names.random
random.seed(0)
fname = path.Path(__file__).stem
root = path.Path(f'{fname}_cases')
if not root.exists():
root.mkdir()
names_bank = [names.get_full_name() for _ in range(30)]
gen_grade = lambda: random.randint(0, 100)
gen_sid = lambda: f'520... | 0.197444 | 0.124772 |
from settings import *
from PIL import Image
from PIL import ImageTk
import cv2
import imutils
import sys
import tkinter as tki
from guiManager import GuiManager
class MosquitoTracker:
def __init__(self, webcamId):
# Used to quit running when the GUI thread decides
self.running = True
... | mosquitoTracker.py | from settings import *
from PIL import Image
from PIL import ImageTk
import cv2
import imutils
import sys
import tkinter as tki
from guiManager import GuiManager
class MosquitoTracker:
def __init__(self, webcamId):
# Used to quit running when the GUI thread decides
self.running = True
... | 0.443841 | 0.130147 |
import unittest
import urllib
import os
import datetime
from dateutil.relativedelta import relativedelta
import netCDF4
import numpy as np
from ocw.dataset import Dataset
import ocw.utils as utils
class TestDecodeTimes(unittest.TestCase):
test_model = '../ocw-ui/backend/tests/example_data/lat_lon_time.nc'
... | ocw/tests/test_utils.py |
import unittest
import urllib
import os
import datetime
from dateutil.relativedelta import relativedelta
import netCDF4
import numpy as np
from ocw.dataset import Dataset
import ocw.utils as utils
class TestDecodeTimes(unittest.TestCase):
test_model = '../ocw-ui/backend/tests/example_data/lat_lon_time.nc'
... | 0.587825 | 0.544741 |
import os
import time
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
import torch.nn.functional as F
import warnings
from torch.optim import Adam
from tqdm import tqdm
warnings.simplefilter("ignore")
class modelTrainer:
def __init__(self, model: nn.Module, criterion: nn.Module... | src/train.py | import os
import time
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
import torch.nn.functional as F
import warnings
from torch.optim import Adam
from tqdm import tqdm
warnings.simplefilter("ignore")
class modelTrainer:
def __init__(self, model: nn.Module, criterion: nn.Module... | 0.89328 | 0.31008 |
{
'includes': [
'src/common_settings.gypi', # Common settings
],
'targets': [
{
'target_name': 'auto_tests',
'type': 'none',
'dependencies': [
'src/voice_engine.gyp:voe_auto_test',
'src/video_engine.gyp:vie_auto_test',
],
},
{
'target_name': 'cmd_test'... | webrtc.gyp |
{
'includes': [
'src/common_settings.gypi', # Common settings
],
'targets': [
{
'target_name': 'auto_tests',
'type': 'none',
'dependencies': [
'src/voice_engine.gyp:voe_auto_test',
'src/video_engine.gyp:vie_auto_test',
],
},
{
'target_name': 'cmd_test'... | 0.302082 | 0.176707 |
import cherrypy
from controllers.base import BaseController
import models.dbtool as DB
from peewee import IntegrityError
import json
class SettingsController(BaseController):
@cherrypy.expose
def index(self):
# @TODO display the status of the indexers
indexers = DB.Indexers.select()
... | controllers/settings.py | import cherrypy
from controllers.base import BaseController
import models.dbtool as DB
from peewee import IntegrityError
import json
class SettingsController(BaseController):
@cherrypy.expose
def index(self):
# @TODO display the status of the indexers
indexers = DB.Indexers.select()
... | 0.284377 | 0.176991 |
from typing import Callable, Dict, Optional, Sequence
from rnnr.callbacks import save
from sacred.run import Run
from text2array import Vocab
import torch
from crf import DepTreeCRF
from evaluation import count_correct
def set_train_mode(model: torch.nn.Module, training: bool = True) -> Callable[[dict], None]:
... | callbacks.py |
from typing import Callable, Dict, Optional, Sequence
from rnnr.callbacks import save
from sacred.run import Run
from text2array import Vocab
import torch
from crf import DepTreeCRF
from evaluation import count_correct
def set_train_mode(model: torch.nn.Module, training: bool = True) -> Callable[[dict], None]:
... | 0.945362 | 0.358578 |
import logging
import sys
import mcpi
from mcpi.minecraft import Minecraft
from minecraftstuff import MinecraftDrawing
from .renderer import Renderer
from mcthings.blocks_memory import BlocksMemory
class _Server:
"""
A Server manages the connection with the Minecraft server.
Every World must have a Ser... | mcthings/renderers/raspberry_pi.py | import logging
import sys
import mcpi
from mcpi.minecraft import Minecraft
from minecraftstuff import MinecraftDrawing
from .renderer import Renderer
from mcthings.blocks_memory import BlocksMemory
class _Server:
"""
A Server manages the connection with the Minecraft server.
Every World must have a Ser... | 0.525125 | 0.354126 |
import keras
import numpy as np
import cv2
import shutil
from keras.models import load_model
from scan_lib import scan_data as sc
def data_generator_declare():
print('Все файлы должны быть в формате - img999.jpg. ' +
'Формат может быть pdf, jpg, png. Каждому скану ' +
'должна соответствовать ф... | scan_lib/nero.py | import keras
import numpy as np
import cv2
import shutil
from keras.models import load_model
from scan_lib import scan_data as sc
def data_generator_declare():
print('Все файлы должны быть в формате - img999.jpg. ' +
'Формат может быть pdf, jpg, png. Каждому скану ' +
'должна соответствовать ф... | 0.449393 | 0.274306 |
from datetime import datetime
#Fixed deltatime used to geenerate web reports
# 2021-05-26
d_periods = {
'0t': ['DateTime', '0s', 0],
'1t': ['DateTime', '1min', 0],
'5t': ['DateTime', '5min', 0],
'15t': ['qH', '15min', 0],
'1h': ['hour', 'hour', -1],
... | src/susee/see_dict.py |
from datetime import datetime
#Fixed deltatime used to geenerate web reports
# 2021-05-26
d_periods = {
'0t': ['DateTime', '0s', 0],
'1t': ['DateTime', '1min', 0],
'5t': ['DateTime', '5min', 0],
'15t': ['qH', '15min', 0],
'1h': ['hour', 'hour', -1],
... | 0.31321 | 0.236417 |
import numpy as np
from ote_sdk.entities.annotation import (
Annotation,
AnnotationSceneEntity,
AnnotationSceneKind,
)
from ote_sdk.entities.dataset_item import DatasetItemEntity
from ote_sdk.entities.datasets import DatasetEntity
from ote_sdk.entities.id import ID
from ote_sdk.entities.image import Image
... | external/deep-object-reid/tests/sc_input_params_validation/helpers.py | import numpy as np
from ote_sdk.entities.annotation import (
Annotation,
AnnotationSceneEntity,
AnnotationSceneKind,
)
from ote_sdk.entities.dataset_item import DatasetItemEntity
from ote_sdk.entities.datasets import DatasetEntity
from ote_sdk.entities.id import ID
from ote_sdk.entities.image import Image
... | 0.601594 | 0.311165 |
from abc import ABCMeta, abstractmethod
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops impo... | sequencing/decoders/decoder.py | from abc import ABCMeta, abstractmethod
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import tensor_util
from tensorflow.python.ops impo... | 0.941142 | 0.389401 |
import tensorflow as tf
import numpy as np
import random
from collections import deque
# Hyper Parameters:
FRAME_PER_ACTION = 1
GAMMA = 0.99 # decay rate of past observations
OBSERVE = 100. # timesteps to observe before training
EXPLORE = 200000. # frames over which to anneal epsilon
FINAL_EPSILON = 0#0.001 # fina... | RL Learning/DRL-FlappyBird-master/BrainDQN_Nature.py |
import tensorflow as tf
import numpy as np
import random
from collections import deque
# Hyper Parameters:
FRAME_PER_ACTION = 1
GAMMA = 0.99 # decay rate of past observations
OBSERVE = 100. # timesteps to observe before training
EXPLORE = 200000. # frames over which to anneal epsilon
FINAL_EPSILON = 0#0.001 # fina... | 0.46223 | 0.468 |
import os
from six.moves import configparser
from .decorators import suppress_all_exceptions
PRIVACY_STATEMENT = """
Welcome to iotedgedev!
-------------------------
Telemetry
---------
The iotedgedev collects usage data in order to improve your experience.
The data is anonymous and does not include commandline argu... | iotedgedev/telemetryconfig.py | import os
from six.moves import configparser
from .decorators import suppress_all_exceptions
PRIVACY_STATEMENT = """
Welcome to iotedgedev!
-------------------------
Telemetry
---------
The iotedgedev collects usage data in order to improve your experience.
The data is anonymous and does not include commandline argu... | 0.351979 | 0.099295 |
import argparse
import csv
import re
from datetime import (
datetime,
)
from itertools import (
chain,
)
from os import (
path,
)
from typing import (
Iterator,
List,
NamedTuple,
Tuple,
TypeVar,
)
from git import (
Repo,
)
class LogEntry(NamedTuple):
"""
Represents a log e... | bin/logit.py | import argparse
import csv
import re
from datetime import (
datetime,
)
from itertools import (
chain,
)
from os import (
path,
)
from typing import (
Iterator,
List,
NamedTuple,
Tuple,
TypeVar,
)
from git import (
Repo,
)
class LogEntry(NamedTuple):
"""
Represents a log e... | 0.742795 | 0.37605 |
import datetime
import json
import logging
import os
import subprocess
import time
from contextlib import suppress
from typing import Any, List, Optional
__version__ = '0.0.19'
def bash_command(command: list) -> Optional[str]:
"""
Run external commands.
:param command: A list object containing the comma... | modules/core.py | import datetime
import json
import logging
import os
import subprocess
import time
from contextlib import suppress
from typing import Any, List, Optional
__version__ = '0.0.19'
def bash_command(command: list) -> Optional[str]:
"""
Run external commands.
:param command: A list object containing the comma... | 0.715623 | 0.205655 |
import numpy as np
from matplotlib.colors import ListedColormap
_lut05 = np.array([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... | ipychord3/cmaps.py | import numpy as np
from matplotlib.colors import ListedColormap
_lut05 = np.array([[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... | 0.240239 | 0.107531 |
from __future__ import unicode_literals
from dfdatetime import posix_time as dfdatetime_posix_time
from plaso.containers import time_events
from plaso.lib import eventdata
from plaso.parsers import sqlite
from plaso.parsers.sqlite_plugins import interface
class TestingFoobarEventData(events.EventData):
"""testing... | test_data/plaso_testing_sqlite_plugin.py | from __future__ import unicode_literals
from dfdatetime import posix_time as dfdatetime_posix_time
from plaso.containers import time_events
from plaso.lib import eventdata
from plaso.parsers import sqlite
from plaso.parsers.sqlite_plugins import interface
class TestingFoobarEventData(events.EventData):
"""testing... | 0.812533 | 0.267157 |
from __future__ import print_function
import bpy
from bpy.types import Operator, Panel, PropertyGroup, WindowManager
from bpy.props import PointerProperty, StringProperty, IntProperty, FloatProperty, BoolProperty
import sys
paths = [
#PYTHON_PATH,
PROJECT_DIR
]
for p in paths:
sys.path.insert(0, p)
from ma... | automask.py | from __future__ import print_function
import bpy
from bpy.types import Operator, Panel, PropertyGroup, WindowManager
from bpy.props import PointerProperty, StringProperty, IntProperty, FloatProperty, BoolProperty
import sys
paths = [
#PYTHON_PATH,
PROJECT_DIR
]
for p in paths:
sys.path.insert(0, p)
from ma... | 0.465873 | 0.26824 |
import sys
import unittest
import soundfile
from porcupine import Porcupine
from util import *
class PorcupineTestCase(unittest.TestCase):
def test_process(self):
porcupine = Porcupine(
access_key=sys.argv[1],
library_path=pv_library_path('../..'),
model_path=pv_model... | binding/python/test_porcupine.py |
import sys
import unittest
import soundfile
from porcupine import Porcupine
from util import *
class PorcupineTestCase(unittest.TestCase):
def test_process(self):
porcupine = Porcupine(
access_key=sys.argv[1],
library_path=pv_library_path('../..'),
model_path=pv_model... | 0.267504 | 0.209389 |
import unittest
from lxml import etree
from recipemd.pieces import *
from recipemd.utils import XmlTestMixin
from recipemd.serializer.xml import serialize
class serializeTests(unittest.TestCase, XmlTestMixin):
def test_ingredient_all(self):
i = Ingredient('name', 'amount', 'unit')
e = etree.Elemen... | tests/test_xml.py | import unittest
from lxml import etree
from recipemd.pieces import *
from recipemd.utils import XmlTestMixin
from recipemd.serializer.xml import serialize
class serializeTests(unittest.TestCase, XmlTestMixin):
def test_ingredient_all(self):
i = Ingredient('name', 'amount', 'unit')
e = etree.Elemen... | 0.489992 | 0.582966 |
import json
import os
import sys
from abc import abstractmethod
from operations.chain import Chain
from operations.command import Command
from operations.subtitles import Subtitle
class GenerateGifIt(object):
def get_instance(self, options={}):
instance = self.__create_instance(options)
r... | operations/gif_it.py | import json
import os
import sys
from abc import abstractmethod
from operations.chain import Chain
from operations.command import Command
from operations.subtitles import Subtitle
class GenerateGifIt(object):
def get_instance(self, options={}):
instance = self.__create_instance(options)
r... | 0.294925 | 0.102215 |
from typing import TYPE_CHECKING
from discord import Member, User
from .managerbase import BaseManager
if TYPE_CHECKING:
from typing import Union
from k2modules.util import OptionalMember
action_messages = {
'warn': ('\N{WARNING SIGN}', 'Warn', 'warned', {'moderator-logs'}),
'ban': ('\N{NO ENTRY}', ... | k2modules/util/userlog.py | from typing import TYPE_CHECKING
from discord import Member, User
from .managerbase import BaseManager
if TYPE_CHECKING:
from typing import Union
from k2modules.util import OptionalMember
action_messages = {
'warn': ('\N{WARNING SIGN}', 'Warn', 'warned', {'moderator-logs'}),
'ban': ('\N{NO ENTRY}', ... | 0.634543 | 0.099733 |
from credo.structure.credentials import Credentials, SamlCredentials
from credo.structure.repository import Repository
from credo.structure.account import Account
from credo.structure.user import User
import logging
import json
import os
log = logging.getLogger("credo.structure.credential_path")
class CredentialPath... | credo/structure/credential_path.py | from credo.structure.credentials import Credentials, SamlCredentials
from credo.structure.repository import Repository
from credo.structure.account import Account
from credo.structure.user import User
import logging
import json
import os
log = logging.getLogger("credo.structure.credential_path")
class CredentialPath... | 0.483161 | 0.070752 |
from prune import prune
from rest_framework.response import Response
from .get_field_keys import get_field_keys
from .subpaths import subpaths
class FileNameMixin:
def get_filename(self, request, response):
try:
return request.path_info.replace("/", "_").strip("_")
except:
... | rest_framework_more/mixins.py | from prune import prune
from rest_framework.response import Response
from .get_field_keys import get_field_keys
from .subpaths import subpaths
class FileNameMixin:
def get_filename(self, request, response):
try:
return request.path_info.replace("/", "_").strip("_")
except:
... | 0.38549 | 0.067547 |
import math
from .utils import build_mantissa
from .mantissa_operation import compare, mantissa_sum, mantissa_sub, mantissa_mul, mantissa_div
class FPANumber:
def __init__(self, base, exponent, mantissa, sign):
self._base = base
self._exponent = exponent
self._mantissa = mantissa
... | fpa/fpa.py | import math
from .utils import build_mantissa
from .mantissa_operation import compare, mantissa_sum, mantissa_sub, mantissa_mul, mantissa_div
class FPANumber:
def __init__(self, base, exponent, mantissa, sign):
self._base = base
self._exponent = exponent
self._mantissa = mantissa
... | 0.482917 | 0.206754 |
from kivy.clock import Clock
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.widget import Widget
from kivy.core.window import Window
from kivy.lang import Builder
from appkit.src.akstatusbar import AKStatusBar
from appkit.src.akmenu import AKMenu
from appkit.src.akprojects import AKProjects
from appkit.src.proj... | src/akappwid.py | from kivy.clock import Clock
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.widget import Widget
from kivy.core.window import Window
from kivy.lang import Builder
from appkit.src.akstatusbar import AKStatusBar
from appkit.src.akmenu import AKMenu
from appkit.src.akprojects import AKProjects
from appkit.src.proj... | 0.434341 | 0.062189 |
import ssl
import os.path
import settings as settings_file
def getSslOpts():
'''
Verify the SSL cert exists in the proper place.
'''
certpath = './rabbit_pub_cert/'
caCert = os.path.abspath(os.path.join(certpath, './cacert.pem'))
cert = os.path.abspath(os.path.join(certpath, './cert1.pem'))
keyf = os.path.abs... | FetchAgent/MessageSettings.py | import ssl
import os.path
import settings as settings_file
def getSslOpts():
'''
Verify the SSL cert exists in the proper place.
'''
certpath = './rabbit_pub_cert/'
caCert = os.path.abspath(os.path.join(certpath, './cacert.pem'))
cert = os.path.abspath(os.path.join(certpath, './cert1.pem'))
keyf = os.path.abs... | 0.272605 | 0.116563 |
import logging
from structlog import wrap_logger
logger = wrap_logger(logging.getLogger(__name__))
class PartyServiceMock:
def get_business_details(self, business_ids):
"""Return mock business details"""
business_details = [
self._business_details.get(business_id)
for bus... | secure_message/api_mocks/party_service_mock.py | import logging
from structlog import wrap_logger
logger = wrap_logger(logging.getLogger(__name__))
class PartyServiceMock:
def get_business_details(self, business_ids):
"""Return mock business details"""
business_details = [
self._business_details.get(business_id)
for bus... | 0.50293 | 0.275928 |
import pytest
import smt_switch as ss
import pono
from typing import Set
@pytest.mark.parametrize("create_solver", ss.solvers.values())
def test_fts_unroller(create_solver):
solver = create_solver(False)
bvsort4 = solver.make_sort(ss.sortkinds.BV, 4)
bvsort8 = solver.make_sort(ss.sortkinds.BV, 8)
arrs... | tests/python/test_unroller.py | import pytest
import smt_switch as ss
import pono
from typing import Set
@pytest.mark.parametrize("create_solver", ss.solvers.values())
def test_fts_unroller(create_solver):
solver = create_solver(False)
bvsort4 = solver.make_sort(ss.sortkinds.BV, 4)
bvsort8 = solver.make_sort(ss.sortkinds.BV, 8)
arrs... | 0.680985 | 0.759761 |
mode: python; py-indent-offset: 4; tab-width: 8; coding:utf-8
'''
from sos_trades_core.sos_processes.processes_factory import SoSProcessFactory
from importlib import import_module
from os.path import dirname, isdir
from os import listdir, makedirs
from tempfile import gettempdir
class UseCaseFailedException(Exception... | sos_trades_core/sos_processes/run_all_usecases.py | mode: python; py-indent-offset: 4; tab-width: 8; coding:utf-8
'''
from sos_trades_core.sos_processes.processes_factory import SoSProcessFactory
from importlib import import_module
from os.path import dirname, isdir
from os import listdir, makedirs
from tempfile import gettempdir
class UseCaseFailedException(Exception... | 0.407451 | 0.079068 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
class ImageCoder(object):
"""Helper class that provides TensorFlow image coding utilities.
Taken from
https://github.com/tensorflow/models/blob/master/in... | src/datasets/common.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
class ImageCoder(object):
"""Helper class that provides TensorFlow image coding utilities.
Taken from
https://github.com/tensorflow/models/blob/master/in... | 0.953253 | 0.562657 |
import logging
from requests.exceptions import HTTPError
from rest_framework.status import HTTP_404_NOT_FOUND
from django.conf import settings
from django.db import transaction
from courses.constants import PROGRAM_TEXT_ID_PREFIX
from courses.models import (
CourseRunGrade,
CourseRunCertificate,
ProgramCer... | courses/utils.py | import logging
from requests.exceptions import HTTPError
from rest_framework.status import HTTP_404_NOT_FOUND
from django.conf import settings
from django.db import transaction
from courses.constants import PROGRAM_TEXT_ID_PREFIX
from courses.models import (
CourseRunGrade,
CourseRunCertificate,
ProgramCer... | 0.74158 | 0.248771 |
from .. import wire
from .. import gate
from . import DEC
Wire = wire.Wire
Bus4 = wire.Bus4
Bus8 = wire.Bus8
Bus16 = wire.Bus16
class Demultiplexer1To2:
"""Construct a new 1-to-2 demultiplexer.
Args:
enable: An object of type Wire. Enables the demultiplexer.
select: An object of type Wire. T... | bitwise/signal/DEMUX.py | from .. import wire
from .. import gate
from . import DEC
Wire = wire.Wire
Bus4 = wire.Bus4
Bus8 = wire.Bus8
Bus16 = wire.Bus16
class Demultiplexer1To2:
"""Construct a new 1-to-2 demultiplexer.
Args:
enable: An object of type Wire. Enables the demultiplexer.
select: An object of type Wire. T... | 0.764012 | 0.328031 |
import json
import copy
from pgadmin.utils.route import BaseTestGenerator
from regression.python_test_utils import test_utils as utils
class ServersAddTestCase(BaseTestGenerator):
""" This class will add the servers under default server group. """
scenarios = [
# Fetch the default url for server obj... | pgAdmin/browser/server_groups/servers/tests/test_server_add.py |
import json
import copy
from pgadmin.utils.route import BaseTestGenerator
from regression.python_test_utils import test_utils as utils
class ServersAddTestCase(BaseTestGenerator):
""" This class will add the servers under default server group. """
scenarios = [
# Fetch the default url for server obj... | 0.512449 | 0.150559 |
import pygame as pg
from pygame.locals import *
from blueprints.attribute_blueprint import AttributeBlueprint as AB
from blueprints.blueprint import Blueprint
from blueprints.character_blueprint import CharacterBlueprint as CB
from blueprints.function_blueprint import FunctionBlueprint as FB
from blueprints.sprite_blu... | BlueprintsApp/main/gui/forms/blueprint_control_form.py | import pygame as pg
from pygame.locals import *
from blueprints.attribute_blueprint import AttributeBlueprint as AB
from blueprints.blueprint import Blueprint
from blueprints.character_blueprint import CharacterBlueprint as CB
from blueprints.function_blueprint import FunctionBlueprint as FB
from blueprints.sprite_blu... | 0.331228 | 0.104798 |
r"""Add HuggingFace Datasets.
Script to convert code for dataset in HuggingFace to tensorflow datasets
To convert a dataset from huggingface, first clone the git repo of
huggingface to local device.
To clone, copy and execute the following command in terminal
git clone https://github.com/huggingface/nlp.git
This ... | tensorflow_datasets/scripts/cleanup/convert_nlp.py |
r"""Add HuggingFace Datasets.
Script to convert code for dataset in HuggingFace to tensorflow datasets
To convert a dataset from huggingface, first clone the git repo of
huggingface to local device.
To clone, copy and execute the following command in terminal
git clone https://github.com/huggingface/nlp.git
This ... | 0.858926 | 0.4575 |
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.impo... | pysnmp/RSTONE-RS-AGENTCAP-MIB.py | Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.impo... | 0.415136 | 0.163179 |
from components.build_post_list import build_post_list
from components.tweet_cleaning import emoji_free_text, url_free_text
# Base and Cleaning
import pandas as pd
import re
import string
# Natural Language Processing (NLP)
import spacy
from spacy.tokenizer import Tokenizer
from gensim.corpora import Dictionary
from ... | app/components/build_model.py | from components.build_post_list import build_post_list
from components.tweet_cleaning import emoji_free_text, url_free_text
# Base and Cleaning
import pandas as pd
import re
import string
# Natural Language Processing (NLP)
import spacy
from spacy.tokenizer import Tokenizer
from gensim.corpora import Dictionary
from ... | 0.578091 | 0.173148 |
from pydclib.pydclib import bin2hstr
from dc.core.State import State
from dc.core.StateContainer import StateContainer
from dc.core.VoteStats import VoteStats
from dc.core.OptimizedAddressState import OptimizedAddressState
from dc.core.MultiSigAddressState import MultiSigAddressState
from dc.core.misc import logger
fr... | src/dc/core/txs/multisig/MultiSigSpend.py | from pydclib.pydclib import bin2hstr
from dc.core.State import State
from dc.core.StateContainer import StateContainer
from dc.core.VoteStats import VoteStats
from dc.core.OptimizedAddressState import OptimizedAddressState
from dc.core.MultiSigAddressState import MultiSigAddressState
from dc.core.misc import logger
fr... | 0.758421 | 0.2778 |
import sys
import data
import json
import pika
import time
import random
import datetime
class Feeder():
def __init__(self, fnQuery='query.txt'):
self.PATH_CONFIG = './config/'
self.queries = []
self.EXCHANGE_NAME = 'e_crawler'
self.IN_QUEUE_NAME = 'q_feeds'
self.OUT_QUEUE... | 2. message queue/mission6/feeder.py | import sys
import data
import json
import pika
import time
import random
import datetime
class Feeder():
def __init__(self, fnQuery='query.txt'):
self.PATH_CONFIG = './config/'
self.queries = []
self.EXCHANGE_NAME = 'e_crawler'
self.IN_QUEUE_NAME = 'q_feeds'
self.OUT_QUEUE... | 0.205376 | 0.070848 |
from pydpiper.pipeline import *
import networkx as nx
def generateFile(i):
return("filename_" + str(i) + ".mnc")
class TestSgeScript():
def setup_method(self, method):
self.p = Pipeline()
startFileA = generateFile(1)
startFileB = generateFile(5)
self.p.addStage(CmdStage(["... | pydpiper_testing/test_sge_script.py |
from pydpiper.pipeline import *
import networkx as nx
def generateFile(i):
return("filename_" + str(i) + ".mnc")
class TestSgeScript():
def setup_method(self, method):
self.p = Pipeline()
startFileA = generateFile(1)
startFileB = generateFile(5)
self.p.addStage(CmdStage(["... | 0.376852 | 0.219819 |
from django import forms
from django.contrib import admin
from dynamic_raw_id.widgets import DynamicRawIDWidget
class DynamicRawIDFilterForm(forms.Form):
"""Form for dynamic_raw_id filter."""
def __init__(self, rel, admin_site, field_name, **kwargs):
"""Construct field for given field rel."""
... | dynamic_raw_id/filters.py | from django import forms
from django.contrib import admin
from dynamic_raw_id.widgets import DynamicRawIDWidget
class DynamicRawIDFilterForm(forms.Form):
"""Form for dynamic_raw_id filter."""
def __init__(self, rel, admin_site, field_name, **kwargs):
"""Construct field for given field rel."""
... | 0.806243 | 0.116236 |
from django.db import models
from django.contrib.auth.models import User
import time
import datetime
# Create your models here.
class Plan(models.Model):
price_cents = models.IntegerField()
name = models.CharField(max_length=15)
num_bots_allowed = models.IntegerField()
max_trade_size_usd = mode... | billing/models.py | from django.db import models
from django.contrib.auth.models import User
import time
import datetime
# Create your models here.
class Plan(models.Model):
price_cents = models.IntegerField()
name = models.CharField(max_length=15)
num_bots_allowed = models.IntegerField()
max_trade_size_usd = mode... | 0.437343 | 0.186447 |
from http import HTTPStatus
from aiohttp.web_exceptions import HTTPNotFound, HTTPConflict, HTTPBadRequest
from aiohttp.web_response import Response
from aiohttp_validate import validate
from asyncpg import UniqueViolationError, ForeignKeyViolationError
from sqlalchemy import select
from storefront.handlers.base impor... | storefront/handlers/employees.py | from http import HTTPStatus
from aiohttp.web_exceptions import HTTPNotFound, HTTPConflict, HTTPBadRequest
from aiohttp.web_response import Response
from aiohttp_validate import validate
from asyncpg import UniqueViolationError, ForeignKeyViolationError
from sqlalchemy import select
from storefront.handlers.base impor... | 0.587233 | 0.150965 |
## @package helpers
# Module caffe2.python.tutorials.helpers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import skimage.io
import skimage.transform
def crop_center(img, cropx, cropy):
y, x,... | caffe2/python/tutorials/helpers.py |
## @package helpers
# Module caffe2.python.tutorials.helpers
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import skimage.io
import skimage.transform
def crop_center(img, cropx, cropy):
y, x,... | 0.492188 | 0.364382 |
import cmd
import requests
import base64
import re
class S4KTJPortal(cmd.Cmd):
'''
Srun4K/Tongji.Portal Command Line Tool
'''
intro = 'Srun4K/Tongji.Portal Command Line Tool.\nType help or ? to list commands.\n'
prompt = '(TJPortal) '
req_url = 'http://192.168.192.10/include/auth_action.p... | tjportal.py | import cmd
import requests
import base64
import re
class S4KTJPortal(cmd.Cmd):
'''
Srun4K/Tongji.Portal Command Line Tool
'''
intro = 'Srun4K/Tongji.Portal Command Line Tool.\nType help or ? to list commands.\n'
prompt = '(TJPortal) '
req_url = 'http://192.168.192.10/include/auth_action.p... | 0.105948 | 0.070432 |
import SMPythonTesting
import os
import os.path
import sys
from paraview import servermanager
SMPythonTesting.ProcessCommandLineArguments()
servermanager.Connect()
sourceProxy = servermanager.sources.RTAnalyticSource()
filterProxy = servermanager.filters.ExtractHistogram(Input=sourceProxy)
filterProxy.UpdatePipeli... | ParaViewCore/ServerManager/Testing/Python/CSVWriterReader.py |
import SMPythonTesting
import os
import os.path
import sys
from paraview import servermanager
SMPythonTesting.ProcessCommandLineArguments()
servermanager.Connect()
sourceProxy = servermanager.sources.RTAnalyticSource()
filterProxy = servermanager.filters.ExtractHistogram(Input=sourceProxy)
filterProxy.UpdatePipeli... | 0.126475 | 0.137475 |
import base64
import json
import tornado.gen as gen
from notebook.base.handlers import APIHandler, app_log
from jupyterlab_ucaip.service import UCAIPService, ManagementService
handlers = {}
def _create_handler(req_type, handler):
class Handler(APIHandler):
"""Handles the request types sent from the fronten... | jupyterlab_ucaip/jupyterlab_ucaip/handlers.py |
import base64
import json
import tornado.gen as gen
from notebook.base.handlers import APIHandler, app_log
from jupyterlab_ucaip.service import UCAIPService, ManagementService
handlers = {}
def _create_handler(req_type, handler):
class Handler(APIHandler):
"""Handles the request types sent from the fronten... | 0.358578 | 0.091301 |
expected_output = {
"bytes_available": 13755338752,
"bytes_used": 489017344,
"files": {
1: {
"file_date": "Oct 12 2020 07:23:32 +00:00",
"file_length": 4096,
"file_name": "/bootflash/"
},
2: {
"file_date": "Apr 20 2017 23:08:16 +00:00",
... | src/genie/libs/parser/iosxe/tests/ShowBootflash/cli/equal/golden_output_1_expected.py | expected_output = {
"bytes_available": 13755338752,
"bytes_used": 489017344,
"files": {
1: {
"file_date": "Oct 12 2020 07:23:32 +00:00",
"file_length": 4096,
"file_name": "/bootflash/"
},
2: {
"file_date": "Apr 20 2017 23:08:16 +00:00",
... | 0.315209 | 0.3534 |
import time
import copy
import numpy as np
from dataclasses import dataclass
from bayes import LogPosterior
from ReflectivitySolver import ReflectivitySolver
from utils import save_run, LogWriter as logger
class ProposedState():
""" Stores all variables related to a MCMC proposal."""
def __init__(self)... | src/MCMCmethods.py |
import time
import copy
import numpy as np
from dataclasses import dataclass
from bayes import LogPosterior
from ReflectivitySolver import ReflectivitySolver
from utils import save_run, LogWriter as logger
class ProposedState():
""" Stores all variables related to a MCMC proposal."""
def __init__(self)... | 0.869299 | 0.337176 |
from django.db import models
from django.contrib.auth.models import (
BaseUserManager,
AbstractBaseUser,
PermissionsMixin,
)
from django.core.mail import send_mail
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.conf import settings
from allauth.account... | systori/apps/user/models.py | from django.db import models
from django.contrib.auth.models import (
BaseUserManager,
AbstractBaseUser,
PermissionsMixin,
)
from django.core.mail import send_mail
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.conf import settings
from allauth.account... | 0.46393 | 0.070913 |
import matplotlib.pyplot as plt
import numpy as np
from dskc._settings import colors
from dskc.visualization.graphs.types.util import set_titles
def autolabel(ax, rects, bins, horizontal=False,
sum_data=1,
percentage=False,
value=True,
flip=False):
"""
... | dskc/visualization/graphs/types/bars/bars_util.py | import matplotlib.pyplot as plt
import numpy as np
from dskc._settings import colors
from dskc.visualization.graphs.types.util import set_titles
def autolabel(ax, rects, bins, horizontal=False,
sum_data=1,
percentage=False,
value=True,
flip=False):
"""
... | 0.593845 | 0.508117 |
import numpy as np
import torch
from torch import nn
from q_learning.utils import *
import torch.nn as nn
import torch.nn.functional as F
class DQN(nn.Module):
def __init__(self, input_shp, out_number):
super(DQN, self).__init__()
h, w, c_in = input_shp
# Q-learning network as described... | Project-Code/q_learning/model.py | import numpy as np
import torch
from torch import nn
from q_learning.utils import *
import torch.nn as nn
import torch.nn.functional as F
class DQN(nn.Module):
def __init__(self, input_shp, out_number):
super(DQN, self).__init__()
h, w, c_in = input_shp
# Q-learning network as described... | 0.90262 | 0.457197 |
import subprocess
import os
script_location = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
def simulate(mdp, top, gro, out, verbose=False, em_energy=False, mpi=False, nprocesses=4, dd=None, restraints=False):
""" A wrapper for running GROMACS molecular dynamics simulations
:param m... | LLC_Membranes/llclib/gromacs.py | import subprocess
import os
script_location = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
def simulate(mdp, top, gro, out, verbose=False, em_energy=False, mpi=False, nprocesses=4, dd=None, restraints=False):
""" A wrapper for running GROMACS molecular dynamics simulations
:param m... | 0.662469 | 0.289359 |
import numpy as np
import math
import gym
from gym import spaces
from gym.utils import seeding
import matplotlib.pyplot as plt
UNIT_H = 20 # pixels
SPEED_H = 25 # grid height
DISTANCE_W =1299 # grid width
UNIT_W=1
class TrainLine(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'... | dqn_env.py | import numpy as np
import math
import gym
from gym import spaces
from gym.utils import seeding
import matplotlib.pyplot as plt
UNIT_H = 20 # pixels
SPEED_H = 25 # grid height
DISTANCE_W =1299 # grid width
UNIT_W=1
class TrainLine(gym.Env):
metadata = {
'render.modes': ['human', 'rgb_array'... | 0.438184 | 0.319413 |
import typing as t # noqa: E902
import numpy as np
from ..activations import identity, relu, sigmoid, softmax
from ..base import BaseLayer
class Conv(BaseLayer):
"""2D convolutional layer.
Attributes
----------
kernel_size : int
Height and Width of the 2D convolution window.
stride : in... | mini_keras/layers/conv2D.py | import typing as t # noqa: E902
import numpy as np
from ..activations import identity, relu, sigmoid, softmax
from ..base import BaseLayer
class Conv(BaseLayer):
"""2D convolutional layer.
Attributes
----------
kernel_size : int
Height and Width of the 2D convolution window.
stride : in... | 0.806548 | 0.592313 |
import os
import sys
import numpy
import time
from subprocess import Popen, PIPE
import random
GPA = tuple([ 0 + i for i in range(32) ])
GPB = tuple([ 32 + i for i in range(16) ])
GPC = tuple([ 64 + i for i in range(16) ])
GPD = tuple([ 96 + i for i in range(16) ])
GPE = tuple([ 128 + i for i in range(16) ])
GPF = tup... | host/sds.py | import os
import sys
import numpy
import time
from subprocess import Popen, PIPE
import random
GPA = tuple([ 0 + i for i in range(32) ])
GPB = tuple([ 32 + i for i in range(16) ])
GPC = tuple([ 64 + i for i in range(16) ])
GPD = tuple([ 96 + i for i in range(16) ])
GPE = tuple([ 128 + i for i in range(16) ])
GPF = tup... | 0.248261 | 0.305425 |
import pytest
import numpy as np
from numpy.testing import assert_equal, assert_allclose
from mne_rsa import searchlight, dsm_array, compute_dsm, compute_dsm_cv
from mne_rsa.dsm import _ensure_condensed, _n_items_from_dsm
class TestDsm:
"""Test computing a DSM"""
def test_basic(self):
"""Test basic ... | tests/test_dsm.py | import pytest
import numpy as np
from numpy.testing import assert_equal, assert_allclose
from mne_rsa import searchlight, dsm_array, compute_dsm, compute_dsm_cv
from mne_rsa.dsm import _ensure_condensed, _n_items_from_dsm
class TestDsm:
"""Test computing a DSM"""
def test_basic(self):
"""Test basic ... | 0.816772 | 0.829077 |
import sys, os, shutil, time
sys.path.append('..\\..\\')
import derpapi
import pygame
import github as git
from urllib.request import urlretrieve, urlopen, URLError
RUN = False
#screen init
try:
pygame.init()
except:
pygame.display.init()
def install(app_files, name):
if os.path.exists('.... | DerPi/apps/App Store/main.py | import sys, os, shutil, time
sys.path.append('..\\..\\')
import derpapi
import pygame
import github as git
from urllib.request import urlretrieve, urlopen, URLError
RUN = False
#screen init
try:
pygame.init()
except:
pygame.display.init()
def install(app_files, name):
if os.path.exists('.... | 0.02681 | 0.050729 |
from schema_registry.client import schema
from tests import data_gen
def assertLatest(self, meta_tuple, sid, schema, version):
self.assertNotEqual(sid, -1)
self.assertNotEqual(version, -1)
self.assertEqual(meta_tuple[0], sid)
self.assertEqual(meta_tuple[1], schema)
self.assertEqual(meta_tuple[2], ... | tests/client/test_schema_registration.py | from schema_registry.client import schema
from tests import data_gen
def assertLatest(self, meta_tuple, sid, schema, version):
self.assertNotEqual(sid, -1)
self.assertNotEqual(version, -1)
self.assertEqual(meta_tuple[0], sid)
self.assertEqual(meta_tuple[1], schema)
self.assertEqual(meta_tuple[2], ... | 0.688154 | 0.578151 |
version = '0.3';
ONE = 1;
MAX_WEIGHT = 1000000;
MIN_PRECISION = 32;
MAX_PRECISION = 127;
'''
The values below depend on MAX_PRECISION. If you choose to change it:
Apply the same change in file 'PrintIntScalingFactors.py', run it and paste the results below.
'''
FIXED_1 = 0x080000000000000000000000000000000;
F... | solidity/python/FormulaSolidityPort/__init__.py | version = '0.3';
ONE = 1;
MAX_WEIGHT = 1000000;
MIN_PRECISION = 32;
MAX_PRECISION = 127;
'''
The values below depend on MAX_PRECISION. If you choose to change it:
Apply the same change in file 'PrintIntScalingFactors.py', run it and paste the results below.
'''
FIXED_1 = 0x080000000000000000000000000000000;
F... | 0.253491 | 0.3143 |
from ObjectFactories.ItemFactory import ItemFactory
from osOps import *
from collectionOps import *
from itemOps import *
import datetime, argparse
CONST_COLLECTIONS_NAME = 'collections'
def generateArgumentsFromParser():
parser = parser = argparse.ArgumentParser(description="Runs the PyInventory utility for crea... | main.py | from ObjectFactories.ItemFactory import ItemFactory
from osOps import *
from collectionOps import *
from itemOps import *
import datetime, argparse
CONST_COLLECTIONS_NAME = 'collections'
def generateArgumentsFromParser():
parser = parser = argparse.ArgumentParser(description="Runs the PyInventory utility for crea... | 0.452052 | 0.139338 |
from argparse import Namespace
import GPy
import heapq
import numpy as np
from rdkit import Chem
from sklearn.ensemble import RandomForestRegressor
import torch.nn as nn
from typing import Any, Callable, List, Tuple
from .predict import predict
from chemprop.data import MoleculeDataset, StandardScaler
from chemprop.fe... | chemprop/train/uncertainty_estimator.py | from argparse import Namespace
import GPy
import heapq
import numpy as np
from rdkit import Chem
from sklearn.ensemble import RandomForestRegressor
import torch.nn as nn
from typing import Any, Callable, List, Tuple
from .predict import predict
from chemprop.data import MoleculeDataset, StandardScaler
from chemprop.fe... | 0.94119 | 0.624723 |
import os
import pickle
import atexit
import random
from fuzzywuzzy import process
from fuzzywuzzy import fuzz
import obonet # transforms OBO serialized ontologies in networks, source: https://github.com/dpavot/obonet
import networkx # helps in the above
# ----------------------------------------------------------... | src/ontology_preprocessing_test.py | import os
import pickle
import atexit
import random
from fuzzywuzzy import process
from fuzzywuzzy import fuzz
import obonet # transforms OBO serialized ontologies in networks, source: https://github.com/dpavot/obonet
import networkx # helps in the above
# ----------------------------------------------------------... | 0.26218 | 0.296311 |
import functools
import os
import tempfile
from unittest import mock
import gin
import tensorflow as tf
from dedal import multi_task
from dedal import vocabulary
from dedal.data import builder
from dedal.data import loaders
from dedal.models import aligners
from dedal.models import dedal
from dedal.models import enco... | dedal/train/training_loop_test.py | import functools
import os
import tempfile
from unittest import mock
import gin
import tensorflow as tf
from dedal import multi_task
from dedal import vocabulary
from dedal.data import builder
from dedal.data import loaders
from dedal.models import aligners
from dedal.models import dedal
from dedal.models import enco... | 0.547222 | 0.23316 |
import unittest
from transformers import AutoModel
from gr_nlp_toolkit.domain.document import Document
from gr_nlp_toolkit.processors.pos import POS
from gr_nlp_toolkit.processors.tokenizer import Tokenizer
from gr_nlp_toolkit.labels.pos_labels import pos_labels, pos_properties
class MyTestCase(unittest.TestCase):
... | test_gr_nlp_toolkit/test_processors/test_pos.py | import unittest
from transformers import AutoModel
from gr_nlp_toolkit.domain.document import Document
from gr_nlp_toolkit.processors.pos import POS
from gr_nlp_toolkit.processors.tokenizer import Tokenizer
from gr_nlp_toolkit.labels.pos_labels import pos_labels, pos_properties
class MyTestCase(unittest.TestCase):
... | 0.535827 | 0.612484 |
import decimal
import unittest
from orchid import (
measurement as om,
unit_system as units,
)
from tests import (custom_matchers as tcm)
from hamcrest import assert_that, equal_to
class TestUnitSystem(unittest.TestCase):
def test_canary(self):
assert_that(2 + 2, equal_to(4))
def test_abb... | tests/test_unit_system.py |
import decimal
import unittest
from orchid import (
measurement as om,
unit_system as units,
)
from tests import (custom_matchers as tcm)
from hamcrest import assert_that, equal_to
class TestUnitSystem(unittest.TestCase):
def test_canary(self):
assert_that(2 + 2, equal_to(4))
def test_abb... | 0.715523 | 0.557424 |
import re
def no_process(date_time_str):
return date_time_str
def fill_minutes(date_time_str):
return re.sub(r"(?<![:\d])(\d{1,2})(AM|PM)", r"\1:00\2", date_time_str, 0, re.IGNORECASE)
WN_FUNCTION_REGEX = re.compile(r'wn(\s+(?P<year>\d{4}))?'
r'(\s+(?P<week_number>\d{1,2}))?'... | date_format_mappings.py | import re
def no_process(date_time_str):
return date_time_str
def fill_minutes(date_time_str):
return re.sub(r"(?<![:\d])(\d{1,2})(AM|PM)", r"\1:00\2", date_time_str, 0, re.IGNORECASE)
WN_FUNCTION_REGEX = re.compile(r'wn(\s+(?P<year>\d{4}))?'
r'(\s+(?P<week_number>\d{1,2}))?'... | 0.496582 | 0.341473 |
import json
import os
import random
from typing import Tuple
import numpy as np
import torch
from PIL import Image
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import is_image_file
def read_annotation_file(path, img_root):
with open(path) as annotation_file:
annotation_... | geo/dataset.py | import json
import os
import random
from typing import Tuple
import numpy as np
import torch
from PIL import Image
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import is_image_file
def read_annotation_file(path, img_root):
with open(path) as annotation_file:
annotation_... | 0.723505 | 0.33463 |
import numpy as np
import xml.etree.cElementTree as ET
from xml.dom import minidom
from ase.data import atomic_masses
from ase.units import eV, Hartree, Bohr, Ry, J
import os
from collections import Iterable, namedtuple
from itertools import groupby
from TB2J.utils import symbol_number
import pickle
def write_tom_ucf... | TB2J/io_exchange/io_tomsasd.py | import numpy as np
import xml.etree.cElementTree as ET
from xml.dom import minidom
from ase.data import atomic_masses
from ase.units import eV, Hartree, Bohr, Ry, J
import os
from collections import Iterable, namedtuple
from itertools import groupby
from TB2J.utils import symbol_number
import pickle
def write_tom_ucf... | 0.226441 | 0.247044 |
# Std library imports
import os
import os.path as osp
from setuptools import setup
import shutil
import sys
import subprocess
from distutils.command.install_data import install_data
# Third party imports
# Local imports
# =============================================================================
# Constants
# ==... | setup.py | # Std library imports
import os
import os.path as osp
from setuptools import setup
import shutil
import sys
import subprocess
from distutils.command.install_data import install_data
# Third party imports
# Local imports
# =============================================================================
# Constants
# ==... | 0.351756 | 0.093802 |
from __future__ import print_function
from collections import defaultdict
from datetime import datetime
from tempfile import mkstemp
import codecs
import gc
import logging
import os
import re
import time
from praw import Reddit
from prawcore.exceptions import RequestException
from six import iteritems, text_type as t... | prawtools/stats.py | from __future__ import print_function
from collections import defaultdict
from datetime import datetime
from tempfile import mkstemp
import codecs
import gc
import logging
import os
import re
import time
from praw import Reddit
from prawcore.exceptions import RequestException
from six import iteritems, text_type as t... | 0.677261 | 0.084417 |
from typing import List, Sequence, Tuple
import numpy as np
from deepchem.utils.typing import RDKitAtom, RDKitBond, RDKitMol
from deepchem.feat.graph_data import GraphData
from deepchem.feat.base_classes import MolecularFeaturizer
from deepchem.utils.molecule_feature_utils import get_atom_type_one_hot, \
construct_h... | deepchem/feat/molecule_featurizers/mol_graph_conv_featurizer.py | from typing import List, Sequence, Tuple
import numpy as np
from deepchem.utils.typing import RDKitAtom, RDKitBond, RDKitMol
from deepchem.feat.graph_data import GraphData
from deepchem.feat.base_classes import MolecularFeaturizer
from deepchem.utils.molecule_feature_utils import get_atom_type_one_hot, \
construct_h... | 0.960435 | 0.54353 |
from h2oaicore.transformer_utils import CustomTransformer
import datatable as dt
import numpy as np
import string
class WordBaseTransformer:
@staticmethod
def get_default_properties():
return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1)
def fit_transform(self, X: dt.Frame,... | transformers/nlp/text_meta_transformers.py | from h2oaicore.transformer_utils import CustomTransformer
import datatable as dt
import numpy as np
import string
class WordBaseTransformer:
@staticmethod
def get_default_properties():
return dict(col_type="text", min_cols=1, max_cols=1, relative_importance=1)
def fit_transform(self, X: dt.Frame,... | 0.708112 | 0.542257 |
import torch
from .shape_layer import ShapeLayer
from .homogeneous_transform_layer import HomogeneousTransformationLayer
class HomogeneousShapeLayer(torch.nn.Module):
"""
Module to Perform a Shape Prediction
(including a global homogeneous transformation)
"""
def __init__(self, shapes, n_dims, u... | shapenet/layer/homogeneous_shape_layer.py |
import torch
from .shape_layer import ShapeLayer
from .homogeneous_transform_layer import HomogeneousTransformationLayer
class HomogeneousShapeLayer(torch.nn.Module):
"""
Module to Perform a Shape Prediction
(including a global homogeneous transformation)
"""
def __init__(self, shapes, n_dims, u... | 0.94502 | 0.473962 |
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'1' ,'n1':'B' ,'n2':'B'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'2' ,'n1':'+' ,'n2':'B'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'3' ,'n1':'B' ,'n2':'+'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,... | testpy/waltzdb_data.py | create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'1' ,'n1':'B' ,'n2':'B'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'2' ,'n1':'+' ,'n2':'B'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,'lid':'3' ,'n1':'B' ,'n2':'+'})
create_and_assert({'t':'label' ,'j_t':'2j' ,'name':'L' ,... | 0.149935 | 0.184786 |
from peewee import *
from playhouse.migrate import migrate
from config import database, migrator
import datetime
database.connect()
def atomic():
''' To run a bunch of stuff within a transaction; e.g.:
with model.atomic() as xact:
foo
bar
baz
if error:
xact.rollba... | dc_common/model.py |
from peewee import *
from playhouse.migrate import migrate
from config import database, migrator
import datetime
database.connect()
def atomic():
''' To run a bunch of stuff within a transaction; e.g.:
with model.atomic() as xact:
foo
bar
baz
if error:
xact.rollba... | 0.694717 | 0.170681 |
lst = [6, 7, 3, 0, 4, 8, 15, 4]
# 冒泡排序算法
def bubbleSort(arr):
sum = len(arr)
for i in range(sum - 1):
for j in range(sum - i - 1):
if arr[j] < arr[j + 1]:
temp = arr[j + 1]
arr[j + 1] = arr[j]
arr[j] = temp
# 插入排序算法
def insertionSort(arr):
... | arithmetic/sort.py | lst = [6, 7, 3, 0, 4, 8, 15, 4]
# 冒泡排序算法
def bubbleSort(arr):
sum = len(arr)
for i in range(sum - 1):
for j in range(sum - i - 1):
if arr[j] < arr[j + 1]:
temp = arr[j + 1]
arr[j + 1] = arr[j]
arr[j] = temp
# 插入排序算法
def insertionSort(arr):
... | 0.175856 | 0.495728 |