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 pathlib
import numpy as np
import pandas as pd
import torch
from torch.utils.data import TensorDataset, DataLoader, BatchSampler
from torch.utils.data import WeightedRandomSampler
import scipy.sparse as ssp
import sklearn.preprocessing as prep
import sklearn.pipeline as ppln
from sklearn.utils import c... | dataset.py | import os
import pathlib
import numpy as np
import pandas as pd
import torch
from torch.utils.data import TensorDataset, DataLoader, BatchSampler
from torch.utils.data import WeightedRandomSampler
import scipy.sparse as ssp
import sklearn.preprocessing as prep
import sklearn.pipeline as ppln
from sklearn.utils import c... | 0.873336 | 0.560493 |
import numpy as np
from gensim import corpora
from keras.preprocessing import sequence
from nltk.tokenize import TreebankWordTokenizer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import check_is_fitted, column_or_1d
__author__ = "<NAME>"
__credits__ = "https://github.com/octo... | dsbox/ml/neural_networks/processing/text_classification.py | import numpy as np
from gensim import corpora
from keras.preprocessing import sequence
from nltk.tokenize import TreebankWordTokenizer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils.validation import check_is_fitted, column_or_1d
__author__ = "<NAME>"
__credits__ = "https://github.com/octo... | 0.858303 | 0.404684 |
from .parser import TokenGroup, TokenElement, TokenAttribute, is_quote, is_bracket
from .tokenizer import tokens
from .stringify import stringify
class ConvertState:
__slots__ = ('inserted', 'text', 'repeat_guard', 'repeaters', 'variables',
'_text_inserted')
def __init__(self, text: str = No... | emmet/abbreviation/convert.py | from .parser import TokenGroup, TokenElement, TokenAttribute, is_quote, is_bracket
from .tokenizer import tokens
from .stringify import stringify
class ConvertState:
__slots__ = ('inserted', 'text', 'repeat_guard', 'repeaters', 'variables',
'_text_inserted')
def __init__(self, text: str = No... | 0.674908 | 0.231386 |
from rdkit import Chem
import numpy as np
class SmilesVectorizer(object):
"""SMILES vectorizer and devectorizer, with support for SMILES enumeration (atom order randomization)
as data augmentation
:parameter charset: string containing the characters for the vectorization
can also be generat... | ddc_pub/vectorizers.py |
from rdkit import Chem
import numpy as np
class SmilesVectorizer(object):
"""SMILES vectorizer and devectorizer, with support for SMILES enumeration (atom order randomization)
as data augmentation
:parameter charset: string containing the characters for the vectorization
can also be generat... | 0.71602 | 0.571049 |
import re
from os import path
from setuptools import setup
from codecs import open
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
def read(*parts):
return open(path.join(... | setup.py | import re
from os import path
from setuptools import setup
from codecs import open
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
def read(*parts):
return open(path.join(... | 0.47025 | 0.160562 |
from __future__ import unicode_literals
from .imapclient_test import IMAPClientTest
from .util import Mock
class TestFolderStatus(IMAPClientTest):
def test_basic(self):
self.client._imap.status.return_value = (
"OK",
[b"foo (MESSAGES 3 RECENT 0 UIDNEXT 4 UIDVALIDITY 1435636895 UN... | tests/test_folder_status.py |
from __future__ import unicode_literals
from .imapclient_test import IMAPClientTest
from .util import Mock
class TestFolderStatus(IMAPClientTest):
def test_basic(self):
self.client._imap.status.return_value = (
"OK",
[b"foo (MESSAGES 3 RECENT 0 UIDNEXT 4 UIDVALIDITY 1435636895 UN... | 0.670177 | 0.291428 |
from datetime import datetime
from math import floor
import requests
from requests.exceptions import HTTPError
import json
import schedule # https://schedule.readthedocs.io/en/stable/
import time
def stahniOdjezdy(limit=1000):
# https://golemioapi.docs.apiary.io/#reference/public-transport/departure-boards/g... | PyPragueDepartures.py | from datetime import datetime
from math import floor
import requests
from requests.exceptions import HTTPError
import json
import schedule # https://schedule.readthedocs.io/en/stable/
import time
def stahniOdjezdy(limit=1000):
# https://golemioapi.docs.apiary.io/#reference/public-transport/departure-boards/g... | 0.200362 | 0.207938 |
from finviz.async_connector import Connector
from lxml import html
from lxml import etree
import requests
import urllib3
import os
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
TABLE = {
'Overview': '110',
'Valuation': '120',
'Ownership': '130',
'Performance': '140',
'Custom'... | finviz/screener.py | from finviz.async_connector import Connector
from lxml import html
from lxml import etree
import requests
import urllib3
import os
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
TABLE = {
'Overview': '110',
'Valuation': '120',
'Ownership': '130',
'Performance': '140',
'Custom'... | 0.394784 | 0.089455 |
from django.utils.translation import ugettext_noop as _
from api import status
from api.api_views import APIView
from api.exceptions import ObjectNotFound, PreconditionRequired, ObjectAlreadyExists
from api.task.response import SuccessTaskResponse
from api.utils.db import get_object
from api.dc.storage.serializers imp... | api/dc/storage/api_views.py | from django.utils.translation import ugettext_noop as _
from api import status
from api.api_views import APIView
from api.exceptions import ObjectNotFound, PreconditionRequired, ObjectAlreadyExists
from api.task.response import SuccessTaskResponse
from api.utils.db import get_object
from api.dc.storage.serializers imp... | 0.390243 | 0.096025 |
from astropy import units as u, constants as const
import numpy as np
from ..nuclear import nuclear_binding_energy, nuclear_reaction_energy, mass_energy
from plasmapy.utils.pytest_helpers import run_test, run_test_equivalent_calls
from plasmapy.atomic.exceptions import AtomicError, InvalidParticleError
import pytest
... | plasmapy/atomic/tests/test_nuclear.py | from astropy import units as u, constants as const
import numpy as np
from ..nuclear import nuclear_binding_energy, nuclear_reaction_energy, mass_energy
from plasmapy.utils.pytest_helpers import run_test, run_test_equivalent_calls
from plasmapy.atomic.exceptions import AtomicError, InvalidParticleError
import pytest
... | 0.846483 | 0.585012 |
import os
# Third party imports
from fastapi import Depends, APIRouter, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from dotenv import load_dotenv
# Local imports
from .auth_db import get_user
from .encryption import encrypt_text, decrypt_token, encrypt_token
fro... | api/auth/authenticate.py | import os
# Third party imports
from fastapi import Depends, APIRouter, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from dotenv import load_dotenv
# Local imports
from .auth_db import get_user
from .encryption import encrypt_text, decrypt_token, encrypt_token
fro... | 0.695441 | 0.096663 |
import math
import matplotlib.pyplot as plt
import numpy as np
import gtsam
import gtsam.utils.plot as gtsam_plot
def report_on_progress(graph: gtsam.NonlinearFactorGraph, current_estimate: gtsam.Values,
key: int):
"""Print and plot incremental progress of the robot for 2D Pose SLAM using... | python/gtsam/examples/Pose2ISAM2Example.py | import math
import matplotlib.pyplot as plt
import numpy as np
import gtsam
import gtsam.utils.plot as gtsam_plot
def report_on_progress(graph: gtsam.NonlinearFactorGraph, current_estimate: gtsam.Values,
key: int):
"""Print and plot incremental progress of the robot for 2D Pose SLAM using... | 0.869977 | 0.750256 |
from modules.extractors.doc import DocExtractor
from modules.metadata import Metadata
import rtf2xml.ParseRtf
class RtfExtractor(DocExtractor):
"""Class for handling RTF file data extraction.
We will mostly be using the same logic as for MSDoc files, but we need
another way to extract metadata, as ... | modules/extractors/rtf.py | from modules.extractors.doc import DocExtractor
from modules.metadata import Metadata
import rtf2xml.ParseRtf
class RtfExtractor(DocExtractor):
"""Class for handling RTF file data extraction.
We will mostly be using the same logic as for MSDoc files, but we need
another way to extract metadata, as ... | 0.555918 | 0.302404 |
__author__ = '<NAME>'
import argparse
from RouToolPa.Routines import MatplotlibRoutines
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", action="store", dest="input", required=True,
type=lambda s : s.split(","),
help="Comma separated list of two input f... | scripts/draw/draw_tetra_histogram_with_two_logscaled.py | __author__ = '<NAME>'
import argparse
from RouToolPa.Routines import MatplotlibRoutines
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input", action="store", dest="input", required=True,
type=lambda s : s.split(","),
help="Comma separated list of two input f... | 0.328206 | 0.171755 |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from de... | pybind/slxos/v16r_1_00b/isis_state/router_isis_config/reverse_metric/__init__.py | from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from de... | 0.680348 | 0.066448 |
from typing import Dict, List, Optional, Tuple, Union
import re
SYNTAX_ERROR = "SyntaxError"
RUNTIME_ERROR = "RuntimeError"
class Number:
def __init__(self, value: int) -> None:
self.value = value
def run(self, variables: Dict[str, int]) -> int:
return self.value
class Operator:
def... | rec.py | from typing import Dict, List, Optional, Tuple, Union
import re
SYNTAX_ERROR = "SyntaxError"
RUNTIME_ERROR = "RuntimeError"
class Number:
def __init__(self, value: int) -> None:
self.value = value
def run(self, variables: Dict[str, int]) -> int:
return self.value
class Operator:
def... | 0.84916 | 0.419172 |
import numpy as np
from atom.api import (Enum, Str, set_default)
from exopy.tasks.api import SimpleTask, validators
ARR_VAL = validators.Feval(types=np.ndarray)
class ArrayExtremaTask(SimpleTask):
""" Store the pair(s) of index/value for the extrema(s) of an array.
Wait for any parallel operation before ex... | exopy_hqc_legacy/tasks/tasks/util/array_tasks.py | import numpy as np
from atom.api import (Enum, Str, set_default)
from exopy.tasks.api import SimpleTask, validators
ARR_VAL = validators.Feval(types=np.ndarray)
class ArrayExtremaTask(SimpleTask):
""" Store the pair(s) of index/value for the extrema(s) of an array.
Wait for any parallel operation before ex... | 0.589598 | 0.442335 |
from dataclasses import dataclass, field
from typing import List
import pandas as pd
import xlwings as xw
import datetime
class PyMoiReader:
def read(self) -> pd.DataFrame:
pass
class CsvReader(PyMoiReader):
def __init__(self, fullname, delimiter=',', quotechar='"'):
self.fullname = fullname... | pymoi/reader.py | from dataclasses import dataclass, field
from typing import List
import pandas as pd
import xlwings as xw
import datetime
class PyMoiReader:
def read(self) -> pd.DataFrame:
pass
class CsvReader(PyMoiReader):
def __init__(self, fullname, delimiter=',', quotechar='"'):
self.fullname = fullname... | 0.591841 | 0.226891 |
import datajoint as dj
schema = dj.Schema()
def activate(schema_name, create_schema=True, create_tables=True):
"""
activate(schema_name, create_schema=True, create_tables=True)
:param schema_name: schema name on the database server to activate the `lab` element
:param create_schema: when True... | element_lab/lab.py | import datajoint as dj
schema = dj.Schema()
def activate(schema_name, create_schema=True, create_tables=True):
"""
activate(schema_name, create_schema=True, create_tables=True)
:param schema_name: schema name on the database server to activate the `lab` element
:param create_schema: when True... | 0.552057 | 0.365174 |
from flask import Flask, request, render_template
import pandas as pd
import pickle
import numpy as np
from sklearn.externals import joblib
from sklearn.preprocessing import StandardScaler
import re
app = Flask(__name__, template_folder="templates")
# Load the model
model = joblib.load('./models/model.p')
scaler = jo... | Deploying your ML Model/WebProject1/website.py | from flask import Flask, request, render_template
import pandas as pd
import pickle
import numpy as np
from sklearn.externals import joblib
from sklearn.preprocessing import StandardScaler
import re
app = Flask(__name__, template_folder="templates")
# Load the model
model = joblib.load('./models/model.p')
scaler = jo... | 0.491212 | 0.075892 |
import pytz
from custom_components.hass_opensprinkler import CONF_CONFIG, CONF_STATIONS, DOMAIN
from datetime import datetime, timedelta
from homeassistant.util import Throttle
from homeassistant.helpers.entity import Entity
SCAN_INTERVAL = timedelta(seconds=5)
utc_tz = pytz.timezone('UTC')
def setup_platf... | hass_opensprinkler/sensor.py | import pytz
from custom_components.hass_opensprinkler import CONF_CONFIG, CONF_STATIONS, DOMAIN
from datetime import datetime, timedelta
from homeassistant.util import Throttle
from homeassistant.helpers.entity import Entity
SCAN_INTERVAL = timedelta(seconds=5)
utc_tz = pytz.timezone('UTC')
def setup_platf... | 0.722723 | 0.144149 |
import dao.PersonDAO as PersonDAO
import manager.PermissionManager as PermissionManager
def get_all():
get_first_name_last_name(None, None)
def get_first_name(first_name):
get_first_name_last_name(first_name, None)
def get_last_name(last_name):
get_first_name_last_name(None, last_name)
def get_fir... | manager/PersonManager.py |
import dao.PersonDAO as PersonDAO
import manager.PermissionManager as PermissionManager
def get_all():
get_first_name_last_name(None, None)
def get_first_name(first_name):
get_first_name_last_name(first_name, None)
def get_last_name(last_name):
get_first_name_last_name(None, last_name)
def get_fir... | 0.265024 | 0.105487 |
from abc import abstractmethod
from typing import (
List,
Union,
Dict,
Tuple
)
from mockintosh.constants import PYBARS, JINJA
from mockintosh.performance import PerformanceProfile
from mockintosh.exceptions import (
CommaInTagIsForbidden
)
from mockintosh.templating import TemplateRenderer
class ... | mockintosh/config.py | from abc import abstractmethod
from typing import (
List,
Union,
Dict,
Tuple
)
from mockintosh.constants import PYBARS, JINJA
from mockintosh.performance import PerformanceProfile
from mockintosh.exceptions import (
CommaInTagIsForbidden
)
from mockintosh.templating import TemplateRenderer
class ... | 0.7773 | 0.134236 |
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'dataproc'
class AcceleratorConfig(_messages.Message):
r"""Specifies the type and number of accelerator cards attached to the
instances of an instance group (see... | lib/googlecloudsdk/third_party/apis/dataproc/v1beta2/dataproc_v1beta2_messages.py |
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'dataproc'
class AcceleratorConfig(_messages.Message):
r"""Specifies the type and number of accelerator cards attached to the
instances of an instance group (see... | 0.912602 | 0.257859 |
import models
import util.validation
from database import db_txn
from linkr import db
from util.exception import *
@db_txn
def add_link(alias, outgoing_url, password=<PASSWORD>, user_id=None, require_recaptcha=False):
"""
Add a new link to the database after performing necessary input validation.
:param ... | database/link.py | import models
import util.validation
from database import db_txn
from linkr import db
from util.exception import *
@db_txn
def add_link(alias, outgoing_url, password=<PASSWORD>, user_id=None, require_recaptcha=False):
"""
Add a new link to the database after performing necessary input validation.
:param ... | 0.75401 | 0.15704 |
import os
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
class PairFM(nn.Module):
def __init__(self,
user_num,
item_num,
factors=84,
epochs=20,
lr=0.... | daisy/model/pair/FMRecommender.py | import os
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
class PairFM(nn.Module):
def __init__(self,
user_num,
item_num,
factors=84,
epochs=20,
lr=0.... | 0.908193 | 0.314051 |
import os
import unittest
from armi.nuclearDataIO.cccc import isotxs
from armi.utils import plotting
from armi.reactor.tests import test_reactors
from armi.tests import ISOAA_PATH, TEST_ROOT
from armi.reactor.flags import Flags
from armi.utils.directoryChangers import TemporaryDirectoryChanger
class TestPlotting(uni... | armi/utils/tests/test_plotting.py | import os
import unittest
from armi.nuclearDataIO.cccc import isotxs
from armi.utils import plotting
from armi.reactor.tests import test_reactors
from armi.tests import ISOAA_PATH, TEST_ROOT
from armi.reactor.flags import Flags
from armi.utils.directoryChangers import TemporaryDirectoryChanger
class TestPlotting(uni... | 0.626696 | 0.48621 |
import os
import shutil
import unittest
import tempfile
from telemetry.core import util
from telemetry.internal.backends.chrome import crx_id
class CrxIdUnittest(unittest.TestCase):
CRX_ID_DIR = util.GetUnittestDataDir()
PACKED_CRX = os.path.join(CRX_ID_DIR,
'jebgalgnebhfojomionfpkfel... | telemetry/telemetry/internal/backends/chrome/crx_id_unittest.py | import os
import shutil
import unittest
import tempfile
from telemetry.core import util
from telemetry.internal.backends.chrome import crx_id
class CrxIdUnittest(unittest.TestCase):
CRX_ID_DIR = util.GetUnittestDataDir()
PACKED_CRX = os.path.join(CRX_ID_DIR,
'jebgalgnebhfojomionfpkfel... | 0.255715 | 0.243238 |
import base64
import json
import random
from pathlib import Path
import imagehash
import numpy as np
from raymon.profiling.extractors import SimpleExtractor
class FixedSubpatchSimilarity(SimpleExtractor):
_attrs = ["patch", "refs"]
_patch_keys = ["x0", "y0", "<KEY>"]
def __init__(self, patch, refs=None... | raymon/profiling/extractors/vision/similarity.py | import base64
import json
import random
from pathlib import Path
import imagehash
import numpy as np
from raymon.profiling.extractors import SimpleExtractor
class FixedSubpatchSimilarity(SimpleExtractor):
_attrs = ["patch", "refs"]
_patch_keys = ["x0", "y0", "<KEY>"]
def __init__(self, patch, refs=None... | 0.737158 | 0.224491 |
from dataclasses import dataclass
from datetime import date, timedelta, datetime
from typing import Iterable, Union, List
import pandas as pd
import numpy as np
@dataclass
class DateRange:
start_date: date
end_date: date
def __init__(self, start_date, end_date):
self.start_date = safe_convert_to_... | pvoutput/daterange.py | from dataclasses import dataclass
from datetime import date, timedelta, datetime
from typing import Iterable, Union, List
import pandas as pd
import numpy as np
@dataclass
class DateRange:
start_date: date
end_date: date
def __init__(self, start_date, end_date):
self.start_date = safe_convert_to_... | 0.844537 | 0.314656 |
import os
import mock
from oslo_serialization import jsonutils
from watcher.common import context
from watcher.common import exception
from watcher.common import nova_helper
from watcher.common import service as watcher_service
from watcher.decision_engine.model import element
from watcher.decision_engine.model.noti... | python-watcher-2.0.0/watcher/tests/decision_engine/model/notification/test_nova_notifications.py |
import os
import mock
from oslo_serialization import jsonutils
from watcher.common import context
from watcher.common import exception
from watcher.common import nova_helper
from watcher.common import service as watcher_service
from watcher.decision_engine.model import element
from watcher.decision_engine.model.noti... | 0.496338 | 0.096748 |
import pandas as pd
import numpy as np
from sklearn.linear_model import RidgeCV
from sklearn import metrics
from utils.constants import Maps
# Pandas options for better printing
pd.set_option('display.max_columns', 500)
pd.set_option('display.max_rows', 1000)
pd.set_option('display.width', 1000)
# Read in our scored... | player_rating.py | import pandas as pd
import numpy as np
from sklearn.linear_model import RidgeCV
from sklearn import metrics
from utils.constants import Maps
# Pandas options for better printing
pd.set_option('display.max_columns', 500)
pd.set_option('display.max_rows', 1000)
pd.set_option('display.width', 1000)
# Read in our scored... | 0.804291 | 0.371906 |
import sqlite3
from models.sl_logger import SlLogger
logger = SlLogger.get_logger(__name__)
class UserModel:
def __init__(self, _id, username, password, pswd_hint):
self.id = _id
self.username = username
self.password = password
self.pswd_hint = pswd_hint
@classmethod
def... | models/user.py | import sqlite3
from models.sl_logger import SlLogger
logger = SlLogger.get_logger(__name__)
class UserModel:
def __init__(self, _id, username, password, pswd_hint):
self.id = _id
self.username = username
self.password = password
self.pswd_hint = pswd_hint
@classmethod
def... | 0.376623 | 0.063628 |
import psycopg2
def read_db(product_id, track_order):
try:
connection = psycopg2.connect(database = 'tracklist', user = 'allex', password = '',
host = '172.16.17.32',
port = '5432')
except psycopg2.Error as err:
print(... | read_db.py | import psycopg2
def read_db(product_id, track_order):
try:
connection = psycopg2.connect(database = 'tracklist', user = 'allex', password = '',
host = '172.16.17.32',
port = '5432')
except psycopg2.Error as err:
print(... | 0.244183 | 0.094093 |
from __future__ import print_function, division
from warnings import warn
import pandas as pd
import numpy as np
import pickle
import copy
from nilmtk.utils import find_nearest
from nilmtk.feature_detectors import cluster
from nilmtk.disaggregate import Disaggregator
from nilmtk.datastore import HDFDataStore
# Fix t... | nilmtk/disaggregate/combinatorial_optimisation.py | from __future__ import print_function, division
from warnings import warn
import pandas as pd
import numpy as np
import pickle
import copy
from nilmtk.utils import find_nearest
from nilmtk.feature_detectors import cluster
from nilmtk.disaggregate import Disaggregator
from nilmtk.datastore import HDFDataStore
# Fix t... | 0.739705 | 0.482307 |
import contextlib
import tensorflow as tf
import tensorflow_gan as tfgan
sn_gettr = tfgan.features.spectral_normalization_custom_getter
def snconv2d(input_, output_dim, k_h=3, k_w=3, d_h=2, d_w=2, training=True,
name='snconv2d'):
"""Creates a 2d conv-layer with Spectral Norm applied to the weights.
... | galaxy2galaxy/layers/spectral_ops.py | import contextlib
import tensorflow as tf
import tensorflow_gan as tfgan
sn_gettr = tfgan.features.spectral_normalization_custom_getter
def snconv2d(input_, output_dim, k_h=3, k_w=3, d_h=2, d_w=2, training=True,
name='snconv2d'):
"""Creates a 2d conv-layer with Spectral Norm applied to the weights.
... | 0.917342 | 0.671982 |
from __future__ import annotations
import json
import os
import re
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from typing import Any, Collection, Optional
from dotenv import load_dotenv
from .logger import set_log
from .util import datetime_parser, open_query, postgres_date... | src/duneapi/types.py | from __future__ import annotations
import json
import os
import re
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from typing import Any, Collection, Optional
from dotenv import load_dotenv
from .logger import set_log
from .util import datetime_parser, open_query, postgres_date... | 0.654122 | 0.265577 |
import asyncio
from FIREX.utils import admin_cmd, edit_or_reply, sudo_cmd
from userbot import *
from userbot.cmdhelp import CmdHelp
DEFAULTUSER = str(ALIVE_NAME) if ALIVE_NAME else "ν2.ο"
@bot.on(admin_cmd(pattern="think$"))
@bot.on(sudo_cmd(pattern="think$", allow_sudo=True))
async def _(event):
if event.fwd_f... | userbot/plugins/Xtra_Plugin/animations.py | import asyncio
from FIREX.utils import admin_cmd, edit_or_reply, sudo_cmd
from userbot import *
from userbot.cmdhelp import CmdHelp
DEFAULTUSER = str(ALIVE_NAME) if ALIVE_NAME else "ν2.ο"
@bot.on(admin_cmd(pattern="think$"))
@bot.on(sudo_cmd(pattern="think$", allow_sudo=True))
async def _(event):
if event.fwd_f... | 0.17774 | 0.065276 |
import unittest
from domain_scoring.domain_value_transformer import NaiveTransformer, SMALLER
from util.lists import all_pairs
class NaiveDomainValueTransformerTest(unittest.TestCase):
def setUp(self):
self.transformer = NaiveTransformer()
self.oracle = self._create_oracle(range(6))
def test... | tests/domain_scoring/domain_value_transformer_test.py | import unittest
from domain_scoring.domain_value_transformer import NaiveTransformer, SMALLER
from util.lists import all_pairs
class NaiveDomainValueTransformerTest(unittest.TestCase):
def setUp(self):
self.transformer = NaiveTransformer()
self.oracle = self._create_oracle(range(6))
def test... | 0.582135 | 0.645092 |
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"CheckpointingNotSupported": "00_callbacks.ipynb",
"GradientCheckpointing": "00_callbacks.ipynb",
"Singleton": "00_utils.ipynb",
"str_to_type": "00_utils.ipynb",
"print_versions": "00_utils.ipynb",
"set... | blurr/_nbdev.py |
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"CheckpointingNotSupported": "00_callbacks.ipynb",
"GradientCheckpointing": "00_callbacks.ipynb",
"Singleton": "00_utils.ipynb",
"str_to_type": "00_utils.ipynb",
"print_versions": "00_utils.ipynb",
"set... | 0.547948 | 0.411702 |
import math
import pandas as pd
import os
class BaseGeoCalculations():
@staticmethod
def __getLength(lon_max, lon_min):
return lon_max - lon_min
@staticmethod
def __getWidth(lat_max, lat_min):
return lat_max - lat_min
@staticmethod
# Returns a tuple with the side length and ... | AcridotheresCristatellusExpansion/ACExpansion/utils/utils_get_map_parameters.py | import math
import pandas as pd
import os
class BaseGeoCalculations():
@staticmethod
def __getLength(lon_max, lon_min):
return lon_max - lon_min
@staticmethod
def __getWidth(lat_max, lat_min):
return lat_max - lat_min
@staticmethod
# Returns a tuple with the side length and ... | 0.72952 | 0.193471 |
import sys
import importlib
def _get_deps_info():
"""Overview of the installed version of main dependencies
Returns
-------
deps_info: dict
version information on relevant Python libraries
"""
deps = [
"pip",
"setuptools",
"imblearn",
"sklearn",
... | imblearn/utils/_show_versions.py |
import sys
import importlib
def _get_deps_info():
"""Overview of the installed version of main dependencies
Returns
-------
deps_info: dict
version information on relevant Python libraries
"""
deps = [
"pip",
"setuptools",
"imblearn",
"sklearn",
... | 0.437583 | 0.208139 |
import os
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
import keras
from framesandoflow import files2frames, images_normalize
class FramesGenerator(keras.utils.Sequence):
"""
Read and yields video frames/optical flow for Keras.model.fit_generator
"""
def __ini... | datagenerator.py | import os
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
import keras
from framesandoflow import files2frames, images_normalize
class FramesGenerator(keras.utils.Sequence):
"""
Read and yields video frames/optical flow for Keras.model.fit_generator
"""
def __ini... | 0.735262 | 0.29726 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'GeoLocation.lat'
db.alter_column(u'faver_geolocation', 'lat', self.gf('django.... | trolly/faver/migrations/0007_auto__chg_field_geolocation_lat__chg_field_geolocation_long.py | from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'GeoLocation.lat'
db.alter_column(u'faver_geolocation', 'lat', self.gf('django.... | 0.502686 | 0.090574 |
import base64
import json
from typing import Any, Dict, List
from google.protobuf.json_format import Parse, ParseDict
from cosmpy.common.rest_client import RestClient
from cosmpy.protos.cosmos.crypto.secp256k1.keys_pb2 import ( # noqa: F401 # pylint: disable=unused-import
PubKey as ProtoPubKey,
)
from cosmpy.pr... | cosmpy/tx/rest_client.py | import base64
import json
from typing import Any, Dict, List
from google.protobuf.json_format import Parse, ParseDict
from cosmpy.common.rest_client import RestClient
from cosmpy.protos.cosmos.crypto.secp256k1.keys_pb2 import ( # noqa: F401 # pylint: disable=unused-import
PubKey as ProtoPubKey,
)
from cosmpy.pr... | 0.782579 | 0.077204 |
import os
import tempfile
import unittest
import logging
from pyidf import ValidationLevel
import pyidf
from pyidf.idf import IDF
from pyidf.hvac_design_objects import SizingSystem
log = logging.getLogger(__name__)
class TestSizingSystem(unittest.TestCase):
def setUp(self):
self.fd, self.path = tempfile.... | tests/test_sizingsystem.py | import os
import tempfile
import unittest
import logging
from pyidf import ValidationLevel
import pyidf
from pyidf.idf import IDF
from pyidf.hvac_design_objects import SizingSystem
log = logging.getLogger(__name__)
class TestSizingSystem(unittest.TestCase):
def setUp(self):
self.fd, self.path = tempfile.... | 0.355663 | 0.141281 |
from typing import Optional
from torch import nn
from torch.nn import functional as F
from ..ff import FF
class SpeechLSTM(nn.Module):
"""A bidirectional LSTM encoder with subsampling for speech features.
The number of LSTM layers is defined by the `layers` argument, i.e.
`1_1_2_2_1_1` denotes 6 LSTM l... | pysimt/layers/encoders/speech_lstm.py | from typing import Optional
from torch import nn
from torch.nn import functional as F
from ..ff import FF
class SpeechLSTM(nn.Module):
"""A bidirectional LSTM encoder with subsampling for speech features.
The number of LSTM layers is defined by the `layers` argument, i.e.
`1_1_2_2_1_1` denotes 6 LSTM l... | 0.962205 | 0.671773 |
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import *
import numpy as np
from scipy import interpolate, linalg, signal
class FirstOrder(signal.TransferFunction):
"""First order heat capacity differential equation model.
The... | heatcapacity/fit.py | from __future__ import (absolute_import, division,
print_function, unicode_literals)
from future.builtins import *
import numpy as np
from scipy import interpolate, linalg, signal
class FirstOrder(signal.TransferFunction):
"""First order heat capacity differential equation model.
The... | 0.928975 | 0.52476 |
from sage.structure.sage_object import SageObject
from sage.rings.all import Integer, infinity, ZZ, QQ, CC
from sage.modules.free_module import span
from sage.modular.modform.constructor import Newform, CuspForms
from sage.modular.arithgroup.congroup_gamma0 import is_Gamma0
from sage.misc.misc_c import prod
class Ls... | src/sage/modular/abvar/lseries.py |
from sage.structure.sage_object import SageObject
from sage.rings.all import Integer, infinity, ZZ, QQ, CC
from sage.modules.free_module import span
from sage.modular.modform.constructor import Newform, CuspForms
from sage.modular.arithgroup.congroup_gamma0 import is_Gamma0
from sage.misc.misc_c import prod
class Ls... | 0.875946 | 0.510558 |
import json
import time, datetime
import os
import shutil
class V2XDataCollector:
def __init__(self, environment:str):
self.environment = environment
self.loggingDirectory = None
self.initializationTimestamp = None
self.hostBsmLogfile = None
self.remoteBsmLogfile = None
... | src/common/v2x-data-collector/V2XDataCollector.py | import json
import time, datetime
import os
import shutil
class V2XDataCollector:
def __init__(self, environment:str):
self.environment = environment
self.loggingDirectory = None
self.initializationTimestamp = None
self.hostBsmLogfile = None
self.remoteBsmLogfile = None
... | 0.116337 | 0.107204 |
SC ={ 'DRV_ERROR_CODES': 20001,
'DRV_SUCCESS': 20002,
'DRV_VXDNOTINSTALLED' : 20003,
'DRV_ERROR_SCAN' : 20004,
'DRV_ERROR_CHECK_SUM' : 20005,
'DRV_ERROR_FILELOAD' : 20006,
'DRV_UNKNOWN_FUNCTION' : 20007,
'DRV_ERROR_VXD_INIT' : 20008,
'DRV_ERROR_ADDRESS'... | labscript_devices/AndorSolis/andor_sdk/status_codes.py |
SC ={ 'DRV_ERROR_CODES': 20001,
'DRV_SUCCESS': 20002,
'DRV_VXDNOTINSTALLED' : 20003,
'DRV_ERROR_SCAN' : 20004,
'DRV_ERROR_CHECK_SUM' : 20005,
'DRV_ERROR_FILELOAD' : 20006,
'DRV_UNKNOWN_FUNCTION' : 20007,
'DRV_ERROR_VXD_INIT' : 20008,
'DRV_ERROR_ADDRESS'... | 0.159021 | 0.058319 |
import serial
import struct
import time
import sys
from numpy import *
class sutterMP285 :
'Class which allows interaction with the Sutter Manipulator 285'
def __init__(self):
self.verbose = 1. # level of messages
self.timeOut = 30 # timeout in sec
# initialize serial connection to controlle... | sutterMP285.py |
import serial
import struct
import time
import sys
from numpy import *
class sutterMP285 :
'Class which allows interaction with the Sutter Manipulator 285'
def __init__(self):
self.verbose = 1. # level of messages
self.timeOut = 30 # timeout in sec
# initialize serial connection to controlle... | 0.182244 | 0.151749 |
import sys
import copy
import tempfile
import pytest
import torch
import numpy as np
import nibabel as nib
import torchio as tio
from ..utils import TorchioTestCase
class TestImage(TorchioTestCase):
"""Tests for `Image`."""
def test_image_not_found(self):
with self.assertRaises(FileNotFoundError):
... | tests/data/test_image.py | import sys
import copy
import tempfile
import pytest
import torch
import numpy as np
import nibabel as nib
import torchio as tio
from ..utils import TorchioTestCase
class TestImage(TorchioTestCase):
"""Tests for `Image`."""
def test_image_not_found(self):
with self.assertRaises(FileNotFoundError):
... | 0.615203 | 0.583619 |
from __future__ import absolute_import, division, print_function
import logging
from collections import defaultdict, namedtuple
import pytest
import torch
import pyro
import pyro.distributions as dist
import pyro.optim as optim
from pyro.contrib.gp.kernels import Cosine, Matern32, RBF, WhiteNoise
from pyro.contrib.g... | tests/contrib/gp/test_models.py | from __future__ import absolute_import, division, print_function
import logging
from collections import defaultdict, namedtuple
import pytest
import torch
import pyro
import pyro.distributions as dist
import pyro.optim as optim
from pyro.contrib.gp.kernels import Cosine, Matern32, RBF, WhiteNoise
from pyro.contrib.g... | 0.836921 | 0.504516 |
from numpy import random
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
def adjust_spines(ax, spines):
"""
removing the spines from a matplotlib graphics.
taken from matplotlib gallery anonymous author.
parameters
----------
ax: a matplolib ax... | inkdrops.py | from numpy import random
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
def adjust_spines(ax, spines):
"""
removing the spines from a matplotlib graphics.
taken from matplotlib gallery anonymous author.
parameters
----------
ax: a matplolib ax... | 0.388618 | 0.59408 |
from vmaf.config import VmafConfig
dataset_name = 'test_image'
yuv_fmt = 'yuv444p'
ref_videos = [
{'content_id': 0,
'content_name': '100007',
'height': 321,
'path': VmafConfig.test_resource_path('test_image_yuv', '100007.yuv'),
'width': 481},
{'content_id': 1,
'content_name': '100039',
'height': 321,
... | python/test/resource/test_image_dataset_noisy.py | from vmaf.config import VmafConfig
dataset_name = 'test_image'
yuv_fmt = 'yuv444p'
ref_videos = [
{'content_id': 0,
'content_name': '100007',
'height': 321,
'path': VmafConfig.test_resource_path('test_image_yuv', '100007.yuv'),
'width': 481},
{'content_id': 1,
'content_name': '100039',
'height': 321,
... | 0.433742 | 0.159479 |
"""MySQL prerequisite."""
import logging
import os
from spet.lib.utilities import download
from spet.lib.utilities import execute
from spet.lib.utilities import extract
from spet.lib.utilities import prettify
class MySQL:
"""MySQL prerequisite.
Args:
mysql_ver (str): Version number for MySQL
... | spet/lib/prerequisites/mysql.py | """MySQL prerequisite."""
import logging
import os
from spet.lib.utilities import download
from spet.lib.utilities import execute
from spet.lib.utilities import extract
from spet.lib.utilities import prettify
class MySQL:
"""MySQL prerequisite.
Args:
mysql_ver (str): Version number for MySQL
... | 0.753829 | 0.098209 |
from django.db import migrations, models
import django.db.models.deletion
import martor.models
class Migration(migrations.Migration):
initial = True
dependencies = [
('tag', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Comment',
fields=[
... | django/codentino/apps/blog/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
import martor.models
class Migration(migrations.Migration):
initial = True
dependencies = [
('tag', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Comment',
fields=[
... | 0.60743 | 0.191365 |
import numpy
from io_funcs.binary_io import BinaryIOCollection
import logging
class MinMaxNormalisation(object):
def __init__(self, feature_dimension, min_value = 0.01, max_value = 0.99, min_vector = 0.0, max_vector = 0.0, exclude_columns=[]):
# this is the wrong name for this logger because we can also... | src/frontend/min_max_norm.py |
import numpy
from io_funcs.binary_io import BinaryIOCollection
import logging
class MinMaxNormalisation(object):
def __init__(self, feature_dimension, min_value = 0.01, max_value = 0.99, min_vector = 0.0, max_vector = 0.0, exclude_columns=[]):
# this is the wrong name for this logger because we can also... | 0.454956 | 0.386127 |
from functools import partial
import glob
import os
import shutil
import threading
import unittest
from absl.testing import absltest
import jax
import jax.numpy as jnp
import jax.profiler
from jax.config import config
import jax.test_util as jtu
try:
import portpicker
except ImportError:
portpicker = None
try:
... | tests/profiler_test.py |
from functools import partial
import glob
import os
import shutil
import threading
import unittest
from absl.testing import absltest
import jax
import jax.numpy as jnp
import jax.profiler
from jax.config import config
import jax.test_util as jtu
try:
import portpicker
except ImportError:
portpicker = None
try:
... | 0.498535 | 0.193776 |
from __future__ import absolute_import, print_function, unicode_literals
import re
import debug # pyflakes:ignore
from ietf.submit.parsers.base import FileParser
class PlainParser(FileParser):
ext = 'txt'
mimetypes = ['text/plain', ]
def __init__(self, fd):
super(P... | ietf/submit/parsers/plain_parser.py |
from __future__ import absolute_import, print_function, unicode_literals
import re
import debug # pyflakes:ignore
from ietf.submit.parsers.base import FileParser
class PlainParser(FileParser):
ext = 'txt'
mimetypes = ['text/plain', ]
def __init__(self, fd):
super(P... | 0.4917 | 0.100481 |
import six as _six
from flytekit.common import sdk_bases as _sdk_bases
from flytekit.common.exceptions import user as _user_exceptions
from flytekit.models.core import identifier as _core_identifier
class Identifier(_core_identifier.Identifier, metaclass=_sdk_bases.ExtendedSdkType):
_STRING_TO_TYPE_MAP = {
... | flytekit/common/core/identifier.py | import six as _six
from flytekit.common import sdk_bases as _sdk_bases
from flytekit.common.exceptions import user as _user_exceptions
from flytekit.models.core import identifier as _core_identifier
class Identifier(_core_identifier.Identifier, metaclass=_sdk_bases.ExtendedSdkType):
_STRING_TO_TYPE_MAP = {
... | 0.677794 | 0.108378 |
MV_OK = 0x00000000 # < 成功，无错误 | en:Successed, no error
MV_E_HANDLE = 0x80000000 # < 错误或无效的句柄 | en:Error or invalid handle
MV_E_SUPPORT = 0x80000001 # < 不支持的功能 | en:Not supported function
MV_E_BUFOVER ... | hik-driver/MVS/Samples/Python/MvImport/MvErrorDefine_const.py |
MV_OK = 0x00000000 # < 成功，无错误 | en:Successed, no error
MV_E_HANDLE = 0x80000000 # < 错误或无效的句柄 | en:Error or invalid handle
MV_E_SUPPORT = 0x80000001 # < 不支持的功能 | en:Not supported function
MV_E_BUFOVER ... | 0.300746 | 0.07843 |
import os
import re
from time import time
from pygaggle.rerank.base import Query, Text
from pygaggle.rerank.transformer import MonoT5
def main():
DATA_DIR = "/home/l224016/projects/ia376_projeto_final/data/robust04/"
RUNS_DIR = "/home/l224016/projects/ia376_projeto_final/data/robust04/runs"
SEGMENTS_DIR =... | codigos/t5_reranker_robust04.py | import os
import re
from time import time
from pygaggle.rerank.base import Query, Text
from pygaggle.rerank.transformer import MonoT5
def main():
DATA_DIR = "/home/l224016/projects/ia376_projeto_final/data/robust04/"
RUNS_DIR = "/home/l224016/projects/ia376_projeto_final/data/robust04/runs"
SEGMENTS_DIR =... | 0.331552 | 0.138958 |
from PySide2.QtWidgets import QMainWindow, QWidget, QVBoxLayout, QFileDialog
from PySide2.QtCore import Qt
# parent UI
from ui_node_manager_mainwindow import Ui_MainWindow
# custom content
from Node import Node
from Node_ListWidget import Node_ListWidget
from NodeContentWidget import NodeContentWidget
from SaveDialog i... | pyScript_NodeManager/MainWindow.py | from PySide2.QtWidgets import QMainWindow, QWidget, QVBoxLayout, QFileDialog
from PySide2.QtCore import Qt
# parent UI
from ui_node_manager_mainwindow import Ui_MainWindow
# custom content
from Node import Node
from Node_ListWidget import Node_ListWidget
from NodeContentWidget import NodeContentWidget
from SaveDialog i... | 0.211906 | 0.053874 |
from scipy.interpolate import InterpolatedUnivariateSpline as _spline
import numpy as np
import scipy.integrate as intg
class NaNException(Exception):
pass
def hmf_integral_gtm(M, dndm, mass_density=False):
"""
Cumulatively integrate dn/dm.
Parameters
----------
M : array_like
Array o... | hmf/integrate_hmf.py | from scipy.interpolate import InterpolatedUnivariateSpline as _spline
import numpy as np
import scipy.integrate as intg
class NaNException(Exception):
pass
def hmf_integral_gtm(M, dndm, mass_density=False):
"""
Cumulatively integrate dn/dm.
Parameters
----------
M : array_like
Array o... | 0.890491 | 0.524273 |
import numpy as np
from optuna import Trial
from sklearn.decomposition import PCA
import mutation_prediction.data as data
import mutation_prediction.embeddings.aaindex as aaindex
from mutation_prediction.data import Dataset
from mutation_prediction.embeddings import Embedding, EmbeddingMatrix
class AcidsOneHot(Embed... | mutation_prediction/embeddings/acids.py | import numpy as np
from optuna import Trial
from sklearn.decomposition import PCA
import mutation_prediction.data as data
import mutation_prediction.embeddings.aaindex as aaindex
from mutation_prediction.data import Dataset
from mutation_prediction.embeddings import Embedding, EmbeddingMatrix
class AcidsOneHot(Embed... | 0.691602 | 0.439807 |
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor, LongTensor
from torch_geometric.typing import OptTensor
from tsl.nn.functional import reverse_tensor
from tsl.nn.layers.graph_convs.grin_cell import GRIL
from tsl.utils.parser_utils import str_to_bool
from ...base.embedding impor... | tsl/nn/models/imputation/grin_model.py | from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor, LongTensor
from torch_geometric.typing import OptTensor
from tsl.nn.functional import reverse_tensor
from tsl.nn.layers.graph_convs.grin_cell import GRIL
from tsl.utils.parser_utils import str_to_bool
from ...base.embedding impor... | 0.963057 | 0.582135 |
import datetime, copy, os
import matchesDealEngine
class CBaseStrategy(object):
def __init__(self, stockCode):
super(CBaseStrategy, self).__init__()
self.stockCode = stockCode
self.customInit()
self.initCashe()
#最新数据
self.currentData = {}
#连接池，用于发送信号
self.requesHandlerObjList = []
#数据缓存
#当前时间，最近的一... | baseStrategy.py | import datetime, copy, os
import matchesDealEngine
class CBaseStrategy(object):
def __init__(self, stockCode):
super(CBaseStrategy, self).__init__()
self.stockCode = stockCode
self.customInit()
self.initCashe()
#最新数据
self.currentData = {}
#连接池，用于发送信号
self.requesHandlerObjList = []
#数据缓存
#当前时间，最近的一... | 0.081695 | 0.124665 |
from bresenham import bresenham
from scipy.spatial import Voronoi
import numpy as np
from queue import PriorityQueue
import networkx as nx
def closest_node(graph, current_position):
'''
Compute the closest node in the graph to the current position
'''
closest_node = None
dist = 100000
xy_posit... | lib/voronoi_utils.py | from bresenham import bresenham
from scipy.spatial import Voronoi
import numpy as np
from queue import PriorityQueue
import networkx as nx
def closest_node(graph, current_position):
'''
Compute the closest node in the graph to the current position
'''
closest_node = None
dist = 100000
xy_posit... | 0.729905 | 0.574275 |
from cStringIO import StringIO
from zope.interface import implements
from zope.interface.verify import verifyObject
from twisted.trial import unittest
from twisted.internet import reactor
from twisted.internet.address import IPv4Address
from twisted.internet.defer import Deferred
from twisted.web import server, resou... | twisted/web/test/test_web.py | from cStringIO import StringIO
from zope.interface import implements
from zope.interface.verify import verifyObject
from twisted.trial import unittest
from twisted.internet import reactor
from twisted.internet.address import IPv4Address
from twisted.internet.defer import Deferred
from twisted.web import server, resou... | 0.437583 | 0.188884 |
import logging
from threading import Thread, Lock
from impacket.structure import Structure
lock = Lock()
class RemComMessage(Structure):
structure = (
('Command','4096s=""'),
('WorkingDir','260s=""'),
('Priority','<L=0x20'),
('ProcessID','<L=0x01'),
('Machine','260s=""')... | lib/psexec.py |
import logging
from threading import Thread, Lock
from impacket.structure import Structure
lock = Lock()
class RemComMessage(Structure):
structure = (
('Command','4096s=""'),
('WorkingDir','260s=""'),
('Priority','<L=0x20'),
('ProcessID','<L=0x01'),
('Machine','260s=""')... | 0.361616 | 0.039862 |
import torch
import math
import numpy as np
class LabelGuessor(object):
def __init__(self, thresh):
self.thresh = thresh
def __call__(self, model, ims, balance, delT):
org_state = {
k: v.clone().detach()
for k, v in model.state_dict().items()
}
is_train... | PT-BOSS/label_guessor.py | import torch
import math
import numpy as np
class LabelGuessor(object):
def __init__(self, thresh):
self.thresh = thresh
def __call__(self, model, ims, balance, delT):
org_state = {
k: v.clone().detach()
for k, v in model.state_dict().items()
}
is_train... | 0.247714 | 0.384768 |
import matplotlib.pyplot
import seaborn
import pandas
import numpy
class TfidfPlotter:
color = seaborn.color_palette()
def plot(
self,
dataset,
tfidf_mat,
tfidf_features,
labels,
top_n=10,
):
print('calculating top tfidf scores per label')
m... | plotting_utils/plot_tfidf.py | import matplotlib.pyplot
import seaborn
import pandas
import numpy
class TfidfPlotter:
color = seaborn.color_palette()
def plot(
self,
dataset,
tfidf_mat,
tfidf_features,
labels,
top_n=10,
):
print('calculating top tfidf scores per label')
m... | 0.385375 | 0.333273 |
import json
from Utils import RAR
from Utils import Download
from rarfile import RarFile
from Utils import Json
import os
class ModelMan :
def __init__(self ,googleDriveId:str , name:str , fileName:str):
self.name = name
self.fileName = fileName
self.googleDriveId = googleDriveId
def D... | Src/ModelM.py | import json
from Utils import RAR
from Utils import Download
from rarfile import RarFile
from Utils import Json
import os
class ModelMan :
def __init__(self ,googleDriveId:str , name:str , fileName:str):
self.name = name
self.fileName = fileName
self.googleDriveId = googleDriveId
def D... | 0.103942 | 0.078395 |
import os
import sys
import time
import text_utils as tu
from rfid_mifare_cloner import (
is_tag_reader_connected,
create_dump_tag,
write_new_tag,
check_dependencies_installled,
)
from exceptions import TagNotFoundException, NotClassifMifareTagException
def welcome_screen():
""" Only shown when t... | RFID_mifare_cloner/cli.py |
import os
import sys
import time
import text_utils as tu
from rfid_mifare_cloner import (
is_tag_reader_connected,
create_dump_tag,
write_new_tag,
check_dependencies_installled,
)
from exceptions import TagNotFoundException, NotClassifMifareTagException
def welcome_screen():
""" Only shown when t... | 0.268174 | 0.074703 |
from __future__ import unicode_literals
import core.models
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('proposals', '0020_auto_20160202_1048'),
]
operations = [
migrations.AlterField(
model_name='talkproposal',
name='... | src/proposals/migrations/0021_auto_20160222_0709.py | from __future__ import unicode_literals
import core.models
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('proposals', '0020_auto_20160202_1048'),
]
operations = [
migrations.AlterField(
model_name='talkproposal',
name='... | 0.58522 | 0.17989 |
from discord import Guild
from discord.errors import NotFound
from contextlib import suppress
from src.utils import channel_to_dict, member_to_dict, role_to_dict, user_to_dict, guild_to_dict
class Pools:
def __init__(self, bot):
self.nonexistant = []
self.bot = bot
async def get_all_emoji(s... | shard/src/api/pools.py | from discord import Guild
from discord.errors import NotFound
from contextlib import suppress
from src.utils import channel_to_dict, member_to_dict, role_to_dict, user_to_dict, guild_to_dict
class Pools:
def __init__(self, bot):
self.nonexistant = []
self.bot = bot
async def get_all_emoji(s... | 0.494629 | 0.097262 |
import sys
import pandas as pd
from sqlalchemy import create_engine
def transform_categories(categories_df):
"""
Makes transformations in the categories data.
Arguments:
categories_df: the categories dataframe
Output:
categories_df_trans: the transformed categories dataframe
""... | data/process_data.py | import sys
import pandas as pd
from sqlalchemy import create_engine
def transform_categories(categories_df):
"""
Makes transformations in the categories data.
Arguments:
categories_df: the categories dataframe
Output:
categories_df_trans: the transformed categories dataframe
""... | 0.639624 | 0.51251 |
class Entry:
def __init__(self, tagged, untagged):
self.tagged = tagged
self.untagged = untagged
def get_tagged(self):
return self.tagged
def get_untagged(self):
return self.untagged
@staticmethod
def decode(data):
f_tagged = None
if "tagged" in data:
f_tagged = data["tagged"... | it/interfaces/structures/default/python/test.py | class Entry:
def __init__(self, tagged, untagged):
self.tagged = tagged
self.untagged = untagged
def get_tagged(self):
return self.tagged
def get_untagged(self):
return self.untagged
@staticmethod
def decode(data):
f_tagged = None
if "tagged" in data:
f_tagged = data["tagged"... | 0.781247 | 0.221793 |
__author__ = '<NAME>'
__date__ = '2019-11-17'
__copyright__ = '(C) 2019, <NAME>'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsProcessingException,
QgsProcessingAlgorithm,
... | processing_provider/Survey_traverseAdjustment.py | __author__ = '<NAME>'
__date__ = '2019-11-17'
__copyright__ = '(C) 2019, <NAME>'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsProcessingException,
QgsProcessingAlgorithm,
... | 0.623721 | 0.207757 |
import unittest
import jinja2
import app
class OSTemplateViewTestCase(unittest.TestCase):
def setUp(self):
config = app.ConfigWrapper()
self.app = app.app(config).test_client()
def test_latest_defaults(self):
obs = self.app.get('/')
exp = jinja2.Template(TEMPLATE).render(tag... | tests.py | import unittest
import jinja2
import app
class OSTemplateViewTestCase(unittest.TestCase):
def setUp(self):
config = app.ConfigWrapper()
self.app = app.app(config).test_client()
def test_latest_defaults(self):
obs = self.app.get('/')
exp = jinja2.Template(TEMPLATE).render(tag... | 0.54819 | 0.271783 |
from unittest import TestCase
from unittest.mock import MagicMock, patch, Mock
from samcli.lib.sync.sync_flow_factory import SyncFlowFactory
from samcli.lib.utils.cloudformation import CloudFormationResourceSummary
class TestSyncFlowFactory(TestCase):
def create_factory(self, auto_dependency_layer: bool = False)... | tests/unit/lib/sync/test_sync_flow_factory.py | from unittest import TestCase
from unittest.mock import MagicMock, patch, Mock
from samcli.lib.sync.sync_flow_factory import SyncFlowFactory
from samcli.lib.utils.cloudformation import CloudFormationResourceSummary
class TestSyncFlowFactory(TestCase):
def create_factory(self, auto_dependency_layer: bool = False)... | 0.693992 | 0.308737 |
from __future__ import print_function
import itertools
from PhysicsTools.Heppy.analyzers.core.VertexHistograms import VertexHistograms
from PhysicsTools.Heppy.analyzers.core.Analyzer import Analyzer
from PhysicsTools.Heppy.analyzers.core.AutoHandle import AutoHandle
from PhysicsTools.HeppyCore.statistics.average impor... | PhysicsTools/Heppy/python/analyzers/objects/VertexAnalyzer.py | from __future__ import print_function
import itertools
from PhysicsTools.Heppy.analyzers.core.VertexHistograms import VertexHistograms
from PhysicsTools.Heppy.analyzers.core.Analyzer import Analyzer
from PhysicsTools.Heppy.analyzers.core.AutoHandle import AutoHandle
from PhysicsTools.HeppyCore.statistics.average impor... | 0.658198 | 0.219923 |
# <codecell>
from pandas import read_csv
import os, os.path
import csv
import matplotlib.pyplot as plt
import re
import dateutil.parser
os.chdir('/home/will/HIVReportGen/')
# <codecell>
def extract_YOB(inp):
try:
return float(inp.split('-')[0])
except AttributeError:
return float(inp)
e... | DemoGraphs.py |
# <codecell>
from pandas import read_csv
import os, os.path
import csv
import matplotlib.pyplot as plt
import re
import dateutil.parser
os.chdir('/home/will/HIVReportGen/')
# <codecell>
def extract_YOB(inp):
try:
return float(inp.split('-')[0])
except AttributeError:
return float(inp)
e... | 0.248717 | 0.211702 |
import atexit
import builtins
import os
import tempfile
import webbrowser
from types import TracebackType
from typing import Any, Dict, Iterator, Optional, Union
from urllib import parse
import certifi
import lomond
import requests
import simplejson
import determined_common.requests
from determined_common.api import ... | common/determined_common/api/request.py | import atexit
import builtins
import os
import tempfile
import webbrowser
from types import TracebackType
from typing import Any, Dict, Iterator, Optional, Union
from urllib import parse
import certifi
import lomond
import requests
import simplejson
import determined_common.requests
from determined_common.api import ... | 0.68342 | 0.24979 |
import importlib
import os
from pathlib import Path
from typing import Any
import pytest
from pydolphinscheduler.core import configuration
from pydolphinscheduler.core.configuration import (
BUILD_IN_CONFIG_PATH,
config_path,
get_single_config,
set_single_config,
)
from pydolphinscheduler.exceptions i... | dolphinscheduler-python/pydolphinscheduler/tests/core/test_configuration.py | import importlib
import os
from pathlib import Path
from typing import Any
import pytest
from pydolphinscheduler.core import configuration
from pydolphinscheduler.core.configuration import (
BUILD_IN_CONFIG_PATH,
config_path,
get_single_config,
set_single_config,
)
from pydolphinscheduler.exceptions i... | 0.615435 | 0.322993 |
from __future__ import with_statement
from pybench import Test
class WithFinally(Test):
version = 2.0
operations = 20
rounds = 80000
class ContextManager(object):
def __enter__(self):
pass
def __exit__(self, exc, val, tb):
pass
def test(self):
cm ... | tests/benchmarks/pybench/With.py | from __future__ import with_statement
from pybench import Test
class WithFinally(Test):
version = 2.0
operations = 20
rounds = 80000
class ContextManager(object):
def __enter__(self):
pass
def __exit__(self, exc, val, tb):
pass
def test(self):
cm ... | 0.493409 | 0.127979 |
import os
import sys
import json
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
class WindowClassificationTrainUpdateLossParam(QtWidgets.QWidget):
forward_train = QtCore.pyqtSignal();
backward_scheduler_param = QtCore.pyqtSignal();
def __init__(self):
... | classification/training/update/WindowClassificationTrainUpdateLossParam.py | import os
import sys
import json
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
class WindowClassificationTrainUpdateLossParam(QtWidgets.QWidget):
forward_train = QtCore.pyqtSignal();
backward_scheduler_param = QtCore.pyqtSignal();
def __init__(self):
... | 0.267217 | 0.122944 |
import math
from collections import defaultdict
import bisect
import numpy as np
from unittest.mock import MagicMock
from mmdet.datasets import (ClassBalancedDataset, ConcatDataset, CustomDataset,
MultiImageMixDataset, RepeatDataset)
def test_dataset_wrapper():
CustomDataset.load_ann... | tests/test_data/test_datasets/test_dataset_wrapper.py | import math
from collections import defaultdict
import bisect
import numpy as np
from unittest.mock import MagicMock
from mmdet.datasets import (ClassBalancedDataset, ConcatDataset, CustomDataset,
MultiImageMixDataset, RepeatDataset)
def test_dataset_wrapper():
CustomDataset.load_ann... | 0.612657 | 0.519034 |
import logging
import os
import random
import hydra
from hydra.utils import instantiate
import numpy as np
import torch
import wandb
from allennlp.nn.util import get_text_field_mask
from torch.distributions import Categorical
from omegaconf import OmegaConf
from viraal.config import (flatten_dict, get_key, pass_conf... | viraal/rerank/tag.py | import logging
import os
import random
import hydra
from hydra.utils import instantiate
import numpy as np
import torch
import wandb
from allennlp.nn.util import get_text_field_mask
from torch.distributions import Categorical
from omegaconf import OmegaConf
from viraal.config import (flatten_dict, get_key, pass_conf... | 0.535098 | 0.112893 |
import logging
from typing import Dict, Optional, Sequence, Type, Union
import tensorflow as tf
from tensorflow.keras.layers import Layer
from ..block.mlp import MLPBlock
from ..ranking_metric import AvgPrecisionAt, NDCGAt, RecallAt
from .base import PredictionTask
def name_fn(name, inp):
return "/".join([name,... | transformers4rec/tf/model/prediction_task.py | import logging
from typing import Dict, Optional, Sequence, Type, Union
import tensorflow as tf
from tensorflow.keras.layers import Layer
from ..block.mlp import MLPBlock
from ..ranking_metric import AvgPrecisionAt, NDCGAt, RecallAt
from .base import PredictionTask
def name_fn(name, inp):
return "/".join([name,... | 0.949412 | 0.297467 |
import os
import sys
import inspect
import meshlabxml as mlx
import platform
import glob
import shutil
import time
from threading import Thread
'''
Description: It takes via normal script "simplifybulk.py" 17 minutes to Decimate a 3M faces into 7 resolutions
[100K, 200K, 300K, 400K, 500K, 600K, 750K]... | simplifybulkthreaded.py |
import os
import sys
import inspect
import meshlabxml as mlx
import platform
import glob
import shutil
import time
from threading import Thread
'''
Description: It takes via normal script "simplifybulk.py" 17 minutes to Decimate a 3M faces into 7 resolutions
[100K, 200K, 300K, 400K, 500K, 600K, 750K]... | 0.108012 | 0.174164 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from dxm.lib.masking_api.api_client import ApiClient
class ReidentificationJobApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the cl... | dxm/lib/masking_api/api/reidentification_job_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from dxm.lib.masking_api.api_client import ApiClient
class ReidentificationJobApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the cl... | 0.712932 | 0.055926 |
from __future__ import division, unicode_literals, print_function, absolute_import
import numpy as np
import traitlets as tl
from podpac.core.node import NodeException
from podpac.core.units import UnitsDataArray
from podpac.core.utils import common_doc
from podpac.core.compositor.compositor import COMMON_COMPOSITOR_... | podpac/core/compositor/ordered_compositor.py | from __future__ import division, unicode_literals, print_function, absolute_import
import numpy as np
import traitlets as tl
from podpac.core.node import NodeException
from podpac.core.units import UnitsDataArray
from podpac.core.utils import common_doc
from podpac.core.compositor.compositor import COMMON_COMPOSITOR_... | 0.82425 | 0.461623 |
import os
import numpy as np
import pandas as pd
import time as tm
import rpy2.robjects as robjects
import tensorflow as tf
import math
import scipy.io as sio
import optunity as opt
from tensorflow.contrib.tensor_forest.python import tensor_forest
from tensorflow.python.ops import resources
import SparseMatrix as sm
... | Scripts/run_LAmbDA.py | import os
import numpy as np
import pandas as pd
import time as tm
import rpy2.robjects as robjects
import tensorflow as tf
import math
import scipy.io as sio
import optunity as opt
from tensorflow.contrib.tensor_forest.python import tensor_forest
from tensorflow.python.ops import resources
import SparseMatrix as sm
... | 0.287368 | 0.379091 |
from django.test import TransactionTestCase
from django.conf import settings
from django.test.client import Client
from spotseeker_server.models import Spot, SpotExtendedInfo
import simplejson as json
import random
from django.test.utils import override_settings
from mock import patch
from django.core import cache
from... | test/uw_spot/spot_put.py | from django.test import TransactionTestCase
from django.conf import settings
from django.test.client import Client
from spotseeker_server.models import Spot, SpotExtendedInfo
import simplejson as json
import random
from django.test.utils import override_settings
from mock import patch
from django.core import cache
from... | 0.549399 | 0.089694 |
u"""
Created at 2020.01.02
A python wrapper for running the netprophet to replace snakemake
"""
import os
import sys
import json
import logging
from argparse import ArgumentParser, ArgumentError
from multiprocessing import Pool
from shutil import rmtree
from subprocess import check_call, CalledProcessError
from tqdm... | main.py | u"""
Created at 2020.01.02
A python wrapper for running the netprophet to replace snakemake
"""
import os
import sys
import json
import logging
from argparse import ArgumentParser, ArgumentError
from multiprocessing import Pool
from shutil import rmtree
from subprocess import check_call, CalledProcessError
from tqdm... | 0.35209 | 0.146667 |
import sys
from functools import lru_cache, partial
from itertools import combinations
import generator_conf
import jinja2
def all_combinations(l):
return [x for n in range(len(l) + 1) for x in combinations(l, n)]
def indent(n, s):
return s.replace("\n", "\n" + " " * (n * 4))
def nested_statements(layers... | python/generate_from_jinja.py | import sys
from functools import lru_cache, partial
from itertools import combinations
import generator_conf
import jinja2
def all_combinations(l):
return [x for n in range(len(l) + 1) for x in combinations(l, n)]
def indent(n, s):
return s.replace("\n", "\n" + " " * (n * 4))
def nested_statements(layers... | 0.279632 | 0.126785 |
from RLTest import Env
import random
def aofTestCommon(env, reloadfn):
# TODO: Change this attribute in rmtest
env.cmd('ft.create', 'idx', 'schema',
'field1', 'text', 'field2', 'numeric')
reloadfn()
for x in range(1, 10):
env.assertCmdOk('ft.add', 'idx', 'd... | src/pytest/test_aof.py | from RLTest import Env
import random
def aofTestCommon(env, reloadfn):
# TODO: Change this attribute in rmtest
env.cmd('ft.create', 'idx', 'schema',
'field1', 'text', 'field2', 'numeric')
reloadfn()
for x in range(1, 10):
env.assertCmdOk('ft.add', 'idx', 'd... | 0.303216 | 0.361446 |