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 torch
import tqdm
import numpy as np
from models import build_model_and_tokenizer
from dataset.tianchi_2020_dataset import get_test_dataloader
def _batch_trans(batch, device):
batch = tuple(t.to(device) for t in batch)
batch_data ={
'input_ids': batch[0],
'attention_mask': batch[1],
... | tools/infer.py | import torch
import tqdm
import numpy as np
from models import build_model_and_tokenizer
from dataset.tianchi_2020_dataset import get_test_dataloader
def _batch_trans(batch, device):
batch = tuple(t.to(device) for t in batch)
batch_data ={
'input_ids': batch[0],
'attention_mask': batch[1],
... | 0.498047 | 0.248762 |
import logging
from typing import Any, List, Optional, Union
from eth_typing import URI
from web3 import HTTPProvider
from web3._utils.rpc_abi import RPC
from web3.middleware.geth_poa import geth_poa_cleanup
from web3.types import RPCEndpoint, RPCResponse
logger = logging.getLogger(__name__)
class NoActiveProviderE... | web3_multi_provider/multi_http_provider.py | import logging
from typing import Any, List, Optional, Union
from eth_typing import URI
from web3 import HTTPProvider
from web3._utils.rpc_abi import RPC
from web3.middleware.geth_poa import geth_poa_cleanup
from web3.types import RPCEndpoint, RPCResponse
logger = logging.getLogger(__name__)
class NoActiveProviderE... | 0.769124 | 0.126623 |
__author__ = 'luckydonald'
from . import encoding
from .utils import escape # validate_input
from .exceptions import ArgumentParseError
from os import path # file checking.
import logging
logger = logging.getLogger(__name__)
class Argument(object):
def __init__(self, name, optional=False, multible=False):
self.n... | pytg2/argument_types.py | __author__ = 'luckydonald'
from . import encoding
from .utils import escape # validate_input
from .exceptions import ArgumentParseError
from os import path # file checking.
import logging
logger = logging.getLogger(__name__)
class Argument(object):
def __init__(self, name, optional=False, multible=False):
self.n... | 0.401453 | 0.258081 |
import os
import importlib
import argparse
COLLATE_FN_REGISTRY = {}
def register_collate_fn(name):
def register_collate_fn_method(f):
if name in COLLATE_FN_REGISTRY:
raise ValueError(
"Cannot register duplicate collate function ({})".format(name)
)
COLLATE... | data/collate_fns/__init__.py |
import os
import importlib
import argparse
COLLATE_FN_REGISTRY = {}
def register_collate_fn(name):
def register_collate_fn_method(f):
if name in COLLATE_FN_REGISTRY:
raise ValueError(
"Cannot register duplicate collate function ({})".format(name)
)
COLLATE... | 0.374219 | 0.101679 |
import re
from pywriter.html.html_file import HtmlFile
from pywriter.model.splitter import Splitter
class HtmlProof(HtmlFile):
"""HTML proof reading file representation.
Import a manuscript with visibly tagged chapters and scenes.
"""
DESCRIPTION = 'Tagged manuscript for proofing'
SUFF... | src/pywriter/html/html_proof.py | import re
from pywriter.html.html_file import HtmlFile
from pywriter.model.splitter import Splitter
class HtmlProof(HtmlFile):
"""HTML proof reading file representation.
Import a manuscript with visibly tagged chapters and scenes.
"""
DESCRIPTION = 'Tagged manuscript for proofing'
SUFF... | 0.469277 | 0.155142 |
from sqlalchemy import orm
from infosystem.database import db
from infosystem.common.subsystem import entity
class TimelineEvent(entity.Entity, db.Model):
LIMIT_SEARCH = 30
attributes = ['domain_id', 'event_at', 'event_by', 'lat', 'lon',
'description', 'entity', 'entity_id']
attributes... | infosystem/subsystem/timeline_event/resource.py | from sqlalchemy import orm
from infosystem.database import db
from infosystem.common.subsystem import entity
class TimelineEvent(entity.Entity, db.Model):
LIMIT_SEARCH = 30
attributes = ['domain_id', 'event_at', 'event_by', 'lat', 'lon',
'description', 'entity', 'entity_id']
attributes... | 0.58818 | 0.057493 |
import os
import re
from typing import Optional, Sequence
from magmap.io import export_regions
from magmap.settings import config
from magmap.stats import vols
_logger = config.logger.getChild(__name__)
def build_labels_diff_images(paths: Optional[Sequence[str]] = None):
"""Build labels difference images for g... | magmap/atlas/reg_tasks.py |
import os
import re
from typing import Optional, Sequence
from magmap.io import export_regions
from magmap.settings import config
from magmap.stats import vols
_logger = config.logger.getChild(__name__)
def build_labels_diff_images(paths: Optional[Sequence[str]] = None):
"""Build labels difference images for g... | 0.897746 | 0.36108 |
from __future__ import absolute_import, division
from functools import partial
from python_lib.shell_command_helper import ShellCommandHelper
from utils import get_logger
class OvsHelper:
"""Class to build OVS bridges, VxLANs and other network components"""
DEFAULT_VXLAN_PORT = 4789
VXLAN_CMD_FMT = 'ip ... | device_coupler/ovs_helper.py |
from __future__ import absolute_import, division
from functools import partial
from python_lib.shell_command_helper import ShellCommandHelper
from utils import get_logger
class OvsHelper:
"""Class to build OVS bridges, VxLANs and other network components"""
DEFAULT_VXLAN_PORT = 4789
VXLAN_CMD_FMT = 'ip ... | 0.69233 | 0.093595 |
from math import radians
import bpy
import os
from mathutils import Vector, Matrix
def get_max(ob):
mx = Vector((-1000., -1000., -1000.))
for vx in ob.data.vertices:
p = ob.matrix_world * vx.co
mx.x = max(mx.x, p.x)
mx.y = max(mx.y, p.y)
mx.z = max(mx.z, p.z)
return m... | imapper/blender/replace_objects_w_models.py | from math import radians
import bpy
import os
from mathutils import Vector, Matrix
def get_max(ob):
mx = Vector((-1000., -1000., -1000.))
for vx in ob.data.vertices:
p = ob.matrix_world * vx.co
mx.x = max(mx.x, p.x)
mx.y = max(mx.y, p.y)
mx.z = max(mx.z, p.z)
return m... | 0.466359 | 0.363816 |
import datetime
import json
import pathlib
import re
import sys
from vaccine_feed_ingest_schema import location as schema
from vaccine_feed_ingest.utils.log import getLogger
from vaccine_feed_ingest.utils.normalize import normalize_phone, normalize_url
logger = getLogger(__file__)
def _get_id(site: dict) -> str:
... | vaccine_feed_ingest/runners/nc/myspot_gov/normalize.py |
import datetime
import json
import pathlib
import re
import sys
from vaccine_feed_ingest_schema import location as schema
from vaccine_feed_ingest.utils.log import getLogger
from vaccine_feed_ingest.utils.normalize import normalize_phone, normalize_url
logger = getLogger(__file__)
def _get_id(site: dict) -> str:
... | 0.361165 | 0.183466 |
import uuid
from pyvultr.base_api import SupportHttpMethod
from pyvultr.v2 import StartupScript
from pyvultr.v2.enums import StartupScriptType
from tests.v2 import BaseTestV2
class TestStartupScript(BaseTestV2):
def test_list(self):
"""Test list scripts."""
with self._get("response/startup_script... | tests/v2/test_startup_script.py | import uuid
from pyvultr.base_api import SupportHttpMethod
from pyvultr.v2 import StartupScript
from pyvultr.v2.enums import StartupScriptType
from tests.v2 import BaseTestV2
class TestStartupScript(BaseTestV2):
def test_list(self):
"""Test list scripts."""
with self._get("response/startup_script... | 0.68721 | 0.201833 |
# Add Kitchen assets adept_envs/ folder to the python path.
import sys
import os
parent_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(parent_dir, "kitchen_assets/adept_envs"))
import time
import numpy as np
import mujoco_py
import copy
from adept_envs.franka.kitchen_multitask_v0 impor... | envs/kitchen.py |
# Add Kitchen assets adept_envs/ folder to the python path.
import sys
import os
parent_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(parent_dir, "kitchen_assets/adept_envs"))
import time
import numpy as np
import mujoco_py
import copy
from adept_envs.franka.kitchen_multitask_v0 impor... | 0.524882 | 0.389837 |
import os, uuid, subprocess, logging, time, re
from .db_utils import DBUtils
from CTFd import utils
from .models import ADAChallenge, GlowwormContainers, GlowwormCheckLog, GlowwormAttacks
from .extensions import get_round
from CTFd.utils.logging import log
from CTFd.models import db, Users, Teams
from .extensions impor... | CTFd/plugins/ctfd_glowworm/docker_utils.py | import os, uuid, subprocess, logging, time, re
from .db_utils import DBUtils
from CTFd import utils
from .models import ADAChallenge, GlowwormContainers, GlowwormCheckLog, GlowwormAttacks
from .extensions import get_round
from CTFd.utils.logging import log
from CTFd.models import db, Users, Teams
from .extensions impor... | 0.159577 | 0.050331 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import tensorflow as tf
from tf_agents.agents.dqn import dqn_agent
from tf_agents.environments import time_step as ts
from tf_agents.networks import network
from tf_agent... | tf_agents/agents/dqn/dqn_agent_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import tensorflow as tf
from tf_agents.agents.dqn import dqn_agent
from tf_agents.environments import time_step as ts
from tf_agents.networks import network
from tf_agent... | 0.723798 | 0.308242 |
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descrip... | resultstoresearch/server/resultstoresearch/resultstoresearchapi/coverage_pb2.py |
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descrip... | 0.29584 | 0.113383 |
from __future__ import unicode_literals
import frappe
import erpnext
import unittest
from frappe.utils import nowdate, add_days
from erpnext.tests.utils import create_test_contact_and_address
from erpnext.stock.doctype.delivery_trip.delivery_trip import notify_customers, get_contact_and_address
class TestDeliveryTrip... | frappe-bench/apps/erpnext/erpnext/stock/doctype/delivery_trip/test_delivery_trip.py | from __future__ import unicode_literals
import frappe
import erpnext
import unittest
from frappe.utils import nowdate, add_days
from erpnext.tests.utils import create_test_contact_and_address
from erpnext.stock.doctype.delivery_trip.delivery_trip import notify_customers, get_contact_and_address
class TestDeliveryTrip... | 0.298798 | 0.114492 |
import os
import sys
import math
import tensorflow as tf
import model_helper as _mh
from pathlib import Path
PROJECT_PATH = Path(__file__).absolute().parent
sys.path.insert(0, str(PROJECT_PATH))
from utils.log import log_info as _info
from utils.log import log_error as _error
def tranformer_model(input_tensor,
... | transformer.py |
import os
import sys
import math
import tensorflow as tf
import model_helper as _mh
from pathlib import Path
PROJECT_PATH = Path(__file__).absolute().parent
sys.path.insert(0, str(PROJECT_PATH))
from utils.log import log_info as _info
from utils.log import log_error as _error
def tranformer_model(input_tensor,
... | 0.756987 | 0.342091 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
... | patients/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
... | 0.617628 | 0.196017 |
# isort: FIRSTPARTY
from dbus_client_gen import DbusClientUniqueResultError
# isort: LOCAL
from stratis_cli import StratisCliErrorCodes
from .._misc import RUNNER, TEST_RUNNER, SimTestCase, device_name_list
_DEVICE_STRATEGY = device_name_list(1)
class ListTestCase(SimTestCase):
"""
Test listing devices for... | tests/whitebox/integration/physical/test_list.py | # isort: FIRSTPARTY
from dbus_client_gen import DbusClientUniqueResultError
# isort: LOCAL
from stratis_cli import StratisCliErrorCodes
from .._misc import RUNNER, TEST_RUNNER, SimTestCase, device_name_list
_DEVICE_STRATEGY = device_name_list(1)
class ListTestCase(SimTestCase):
"""
Test listing devices for... | 0.421314 | 0.143848 |
from collections import OrderedDict
import os
import pathlib
import re
import xml.etree.ElementTree as et
def get_filename(element):
return element.attrib['filename']
def get_name(element):
return element.attrib['name']
def get_value(element):
return int(element.attrib['value'], 0)
def get_start(elemen... | src/intel/genxml/gen_sort_tags.py |
from collections import OrderedDict
import os
import pathlib
import re
import xml.etree.ElementTree as et
def get_filename(element):
return element.attrib['filename']
def get_name(element):
return element.attrib['name']
def get_value(element):
return int(element.attrib['value'], 0)
def get_start(elemen... | 0.584271 | 0.306177 |
import kol.Error as Error
from .GenericRequest import GenericRequest
from kol.manager import PatternManager
from kol.util import ParseResponseUtils
class CafeRequest(GenericRequest):
"Purchases items from a cafe."
CHEZ_SNOOTEE ='1'
MICROBREWERY = '2'
HELLS_KITCHEN = '3'
def __init__(self, session... | kol/request/CafeConsumeRequest.py | import kol.Error as Error
from .GenericRequest import GenericRequest
from kol.manager import PatternManager
from kol.util import ParseResponseUtils
class CafeRequest(GenericRequest):
"Purchases items from a cafe."
CHEZ_SNOOTEE ='1'
MICROBREWERY = '2'
HELLS_KITCHEN = '3'
def __init__(self, session... | 0.4436 | 0.063106 |
import os, sys
import subprocess
import time
from termcolor import colored
def getCol(col, line):
p1 = line.find(col)
if p1<0 : return ""
p2 = p1 + len(col) + 1
p3 = line.find('"',p2+1)
return line[p2+1:p3]
def updateCamera():
print " -> Update device rules: eye(s)..."
try:
res... | src/nimbro/scripts/set_camera.py | import os, sys
import subprocess
import time
from termcolor import colored
def getCol(col, line):
p1 = line.find(col)
if p1<0 : return ""
p2 = p1 + len(col) + 1
p3 = line.find('"',p2+1)
return line[p2+1:p3]
def updateCamera():
print " -> Update device rules: eye(s)..."
try:
res... | 0.060218 | 0.148664 |
from to_python.core.types import FunctionType, \
FunctionArgument, \
FunctionArgumentValues, \
FunctionReturnTypes, \
FunctionSignature, \
FunctionDoc, \
FunctionOOP, \
FunctionOOPField, \
CompoundOOPData, \
FunctionData, \
CompoundFunctionData
DUMP_PARTIAL = [
CompoundOOPDa... | oops/ped_functions.py | from to_python.core.types import FunctionType, \
FunctionArgument, \
FunctionArgumentValues, \
FunctionReturnTypes, \
FunctionSignature, \
FunctionDoc, \
FunctionOOP, \
FunctionOOPField, \
CompoundOOPData, \
FunctionData, \
CompoundFunctionData
DUMP_PARTIAL = [
CompoundOOPDa... | 0.698741 | 0.438424 |
import json
import os
import pkgutil
import tempfile
import dataset
import jsonpointer
from flattentool import unflatten
from jsonschema import FormatChecker
from jsonschema.validators import Draft4Validator, RefResolver
from ocdsmerge.util import get_release_schema_url, get_tags
from scrapy.exceptions import DropItem... | kingfisher_scrapy/pipelines.py | import json
import os
import pkgutil
import tempfile
import dataset
import jsonpointer
from flattentool import unflatten
from jsonschema import FormatChecker
from jsonschema.validators import Draft4Validator, RefResolver
from ocdsmerge.util import get_release_schema_url, get_tags
from scrapy.exceptions import DropItem... | 0.439507 | 0.095983 |
from __future__ import annotations
from dataclasses import dataclass, field
from typing import List, Dict, TYPE_CHECKING
from reamber.base.Map import Map
from reamber.base.lists import TimedList
from reamber.sm.SMBpm import SMBpm
from reamber.sm.SMConst import SMConst
from reamber.sm.SMFake import SMFake
from reamber... | reamber/sm/SMMap.py | from __future__ import annotations
from dataclasses import dataclass, field
from typing import List, Dict, TYPE_CHECKING
from reamber.base.Map import Map
from reamber.base.lists import TimedList
from reamber.sm.SMBpm import SMBpm
from reamber.sm.SMConst import SMConst
from reamber.sm.SMFake import SMFake
from reamber... | 0.814459 | 0.361756 |
import pyecharts.options as opts
from pyecharts.charts import Line, Page
from pyecharts.commons.utils import JsCode
from pyecharts.faker import Collector, Faker
C = Collector()
@C.funcs
def line_base() -> Line:
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
... | example/line_example.py | import pyecharts.options as opts
from pyecharts.charts import Line, Page
from pyecharts.commons.utils import JsCode
from pyecharts.faker import Collector, Faker
C = Collector()
@C.funcs
def line_base() -> Line:
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
... | 0.431345 | 0.245469 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from hubspot.automation.actions.api_client import ApiClient
from hubspot.automation.actions.exceptions import ApiTypeError, ApiValueError # noqa: F401
class FunctionsApi(object):
"""NOTE: Th... | hubspot/automation/actions/api/functions_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from hubspot.automation.actions.api_client import ApiClient
from hubspot.automation.actions.exceptions import ApiTypeError, ApiValueError # noqa: F401
class FunctionsApi(object):
"""NOTE: Th... | 0.764584 | 0.06832 |
from os import access, R_OK
from django.core.management.base import BaseCommand
from canary_log_api.models import CanaryLogItem
from canary_utils.lib.util import SSLVerify, print_error
class Command(BaseCommand):
help = "Check certificate validity."
def add_arguments(self, parser):
parser.add_argu... | toucan/canary_utils/management/commands/ssl_check.py | from os import access, R_OK
from django.core.management.base import BaseCommand
from canary_log_api.models import CanaryLogItem
from canary_utils.lib.util import SSLVerify, print_error
class Command(BaseCommand):
help = "Check certificate validity."
def add_arguments(self, parser):
parser.add_argu... | 0.364551 | 0.090977 |
import os
import sys
import textwrap
from typing import Set, List, Optional
from extract_wheels.lib import wheel
def pkg_resources_style_namespace_packages(wheel_dir: str) -> Set[str]:
"""Discovers namespace packages implemented using the 'pkg_resources-style namespace packages' method.
"While this approach... | extract_wheels/lib/namespace_pkgs.py | import os
import sys
import textwrap
from typing import Set, List, Optional
from extract_wheels.lib import wheel
def pkg_resources_style_namespace_packages(wheel_dir: str) -> Set[str]:
"""Discovers namespace packages implemented using the 'pkg_resources-style namespace packages' method.
"While this approach... | 0.753648 | 0.216198 |
from datetime import date, datetime
import jsonpickle
from bson import ObjectId
from cryptodataaccess.Transactions.TransactionRepository import TransactionRepository
from cryptodataaccess.Transactions.TransactionMongoStore import TransactionMongoStore
from cryptodataaccess.Users.UsersMongoStore import UsersMongoStore
... | CryptoCalculatorService/tests/BalanceService_test.py | from datetime import date, datetime
import jsonpickle
from bson import ObjectId
from cryptodataaccess.Transactions.TransactionRepository import TransactionRepository
from cryptodataaccess.Transactions.TransactionMongoStore import TransactionMongoStore
from cryptodataaccess.Users.UsersMongoStore import UsersMongoStore
... | 0.513912 | 0.131062 |
import unittest
import os
import json
import sppas
from sppas import sppasTypeError, u
from ..fileref import sppasAttribute, FileReference
from ..filedata import FileData
from ..filebase import States
# ---------------------------------------------------------------------------
class TestsppasAttribute(unittest.Tes... | sppas/sppas/src/files/tests/test_filedata.py | import unittest
import os
import json
import sppas
from sppas import sppasTypeError, u
from ..fileref import sppasAttribute, FileReference
from ..filedata import FileData
from ..filebase import States
# ---------------------------------------------------------------------------
class TestsppasAttribute(unittest.Tes... | 0.445288 | 0.369969 |
from noOD import No
class ListaLigada:
def __init__(self):
self.cabeca = None
self._tamanho = 0
def append(self, cdX, cdY, IDpessoa):
if self.cabeca:
atual = self.cabeca
while atual.prox is not None and (atual.coordenada_dX != cdX or atual.coordenada_dY != cdY)... | Algoritmos e Estruturas de Dados II/EP1/ListaODsimples.py | from noOD import No
class ListaLigada:
def __init__(self):
self.cabeca = None
self._tamanho = 0
def append(self, cdX, cdY, IDpessoa):
if self.cabeca:
atual = self.cabeca
while atual.prox is not None and (atual.coordenada_dX != cdX or atual.coordenada_dY != cdY)... | 0.318485 | 0.519826 |
import sys
sys.path.append('../')
def ImportAriesByScenario(scenarioName, start_date, end_date, Area, CorpID = ['ALL']):
from Model import BPXDatabase as bpxdb
from Model import QueryFile as qf
import pandas as pd
#Create ODS and EDW objects
Success = True
Messages = []
combined... | local/Model/ImportUtility.py | import sys
sys.path.append('../')
def ImportAriesByScenario(scenarioName, start_date, end_date, Area, CorpID = ['ALL']):
from Model import BPXDatabase as bpxdb
from Model import QueryFile as qf
import pandas as pd
#Create ODS and EDW objects
Success = True
Messages = []
combined... | 0.247351 | 0.136177 |
from itertools import chain
from logzero import logger
import pandas as pd
from intervaltree import Interval, IntervalTree
import pysam
from . import data, genes, settings
from .exceptions import ExcovisException
from .cache import cache
@cache.memoize()
def load_all_data():
"""Load all meta data information fr... | excovis/store.py | from itertools import chain
from logzero import logger
import pandas as pd
from intervaltree import Interval, IntervalTree
import pysam
from . import data, genes, settings
from .exceptions import ExcovisException
from .cache import cache
@cache.memoize()
def load_all_data():
"""Load all meta data information fr... | 0.616012 | 0.409693 |
import base64
import os
import re
import subprocess
import yaml
SHELF = os.path.expanduser('~/.config/easy2fa/accounts')
TYPES = ['counter', 'timer']
class AccountStorage(object):
def __init__(self, filename=SHELF):
self.filename = filename
self._safety_check()
self.shelf = None
... | easy2fa/storage.py |
import base64
import os
import re
import subprocess
import yaml
SHELF = os.path.expanduser('~/.config/easy2fa/accounts')
TYPES = ['counter', 'timer']
class AccountStorage(object):
def __init__(self, filename=SHELF):
self.filename = filename
self._safety_check()
self.shelf = None
... | 0.320396 | 0.223631 |
from F2x.parser import tree
class VarDecl(tree.VarDecl):
"""
A variable declaration.
The following properties are available:
- name: The symbolic name of the variable.
- type: The C type of this variable. This might be a basic type (REAL, INTEGER, LOGICAL) or TYPE(C) for any
other ty... | src/F2x/parser/plyplus/tree.py | from F2x.parser import tree
class VarDecl(tree.VarDecl):
"""
A variable declaration.
The following properties are available:
- name: The symbolic name of the variable.
- type: The C type of this variable. This might be a basic type (REAL, INTEGER, LOGICAL) or TYPE(C) for any
other ty... | 0.475118 | 0.217691 |
import numpy as np
import matplotlib.pyplot as plt
from pandas import DataFrame, Series
def get_expression_value_fracs(expression: np.ndarray, max_val: int = 10, round: int = 3):
expression = np.array(expression)
n_transcripts_per_gene = expression.flatten().astype(int)
n_transcripts_per_gene = n_transcri... | src/count_matrix_metrics.py | import numpy as np
import matplotlib.pyplot as plt
from pandas import DataFrame, Series
def get_expression_value_fracs(expression: np.ndarray, max_val: int = 10, round: int = 3):
expression = np.array(expression)
n_transcripts_per_gene = expression.flatten().astype(int)
n_transcripts_per_gene = n_transcri... | 0.543833 | 0.745422 |
import torch
import torch.nn as nn
from onmt.Models import EncoderBase, RNNDecoderBase, NMTModel
def multimodal_model_class_by_key(key):
d = {
'hsm': HiddenStateMergeLayerMMM,
'fvtl': FirstViewThenListenMMM,
'gm': GeneratorMergeMMM,
'fvtl+gm': FirstViewThenListenFinallyViewMMM
... | onmt/modules/MultiModalModel.py | import torch
import torch.nn as nn
from onmt.Models import EncoderBase, RNNDecoderBase, NMTModel
def multimodal_model_class_by_key(key):
d = {
'hsm': HiddenStateMergeLayerMMM,
'fvtl': FirstViewThenListenMMM,
'gm': GeneratorMergeMMM,
'fvtl+gm': FirstViewThenListenFinallyViewMMM
... | 0.961858 | 0.633977 |
import pytest
from MusicXMLSynthesizer.utils import parse_notes_meta_to_list
from MusicXMLSynthesizer.Synthesizer import Synthesizer
from utility.testHelper import create_synthesizer
import numpy as np
from lxml import etree as ET
#
# Naming convention: test_[CLASS_NAME]_[FUNCTION_NAME]_[CONDITION]
#
def test_Synth... | tests/test_unit_Synthesizer.py | import pytest
from MusicXMLSynthesizer.utils import parse_notes_meta_to_list
from MusicXMLSynthesizer.Synthesizer import Synthesizer
from utility.testHelper import create_synthesizer
import numpy as np
from lxml import etree as ET
#
# Naming convention: test_[CLASS_NAME]_[FUNCTION_NAME]_[CONDITION]
#
def test_Synth... | 0.272702 | 0.399548 |
import os
import requests
from packaging.specifiers import SpecifierSet, InvalidSpecifier
from packaging.version import Version, InvalidVersion
DL_ZIPBALL = "https://github.com/{0}/{1}/archive/{2}.zip"
API_RELEASES = "https://api.github.com/repos/{0}/{1}/releases"
COMMIT_RELEASES = "https://api.github.com/repos/{0}/{... | lambentlight/github.py | import os
import requests
from packaging.specifiers import SpecifierSet, InvalidSpecifier
from packaging.version import Version, InvalidVersion
DL_ZIPBALL = "https://github.com/{0}/{1}/archive/{2}.zip"
API_RELEASES = "https://api.github.com/repos/{0}/{1}/releases"
COMMIT_RELEASES = "https://api.github.com/repos/{0}/{... | 0.432183 | 0.214671 |
from accounts.models import Role, User, UserRole
class TestData(object):
public_users = []
core_members = []
collaborators = []
public_users_usernames = [
'public_user_1',
'public_user_2',
'public_user_3',
]
core_members_usernames = [
'core_member_1',
... | dwfcommon/tests/utils.py | from accounts.models import Role, User, UserRole
class TestData(object):
public_users = []
core_members = []
collaborators = []
public_users_usernames = [
'public_user_1',
'public_user_2',
'public_user_3',
]
core_members_usernames = [
'core_member_1',
... | 0.516595 | 0.169819 |
from aiogram import types
from state_manager import Depends
from state_manager.models.dependencys.aiogram import AiogramStateManager
from state_manager.routes.aiogram import AiogramRouter
from app.db.enum import City, Representation
from app.db.repositories.settings import SettingsRepository
from app.db.repositories.u... | app/handlers/start.py | from aiogram import types
from state_manager import Depends
from state_manager.models.dependencys.aiogram import AiogramStateManager
from state_manager.routes.aiogram import AiogramRouter
from app.db.enum import City, Representation
from app.db.repositories.settings import SettingsRepository
from app.db.repositories.u... | 0.439026 | 0.165897 |
import time
class TransactionListener:
def __init__(self, client, blockchain_mode=None,
start_block=None, end_block=None,
only_ops=True):
self.client = client
self.blockchain_mode = blockchain_mode or "irreversible"
self.start_block = start_block
... | lightsteem/helpers/event_listener.py | import time
class TransactionListener:
def __init__(self, client, blockchain_mode=None,
start_block=None, end_block=None,
only_ops=True):
self.client = client
self.blockchain_mode = blockchain_mode or "irreversible"
self.start_block = start_block
... | 0.562537 | 0.113432 |
quotes = [
{
"headline": "<NAME> über schlechte Chancen",
"content": "Wenn etwas wichtig genug ist, dann mach es, auch wenn alle Chancen gegen dich stehen."
},
{
"headline": "<NAME> über den Aufbau einer Firma",
"content": "Eine Firma aufzubauen ist wie Kuchen backen. Man bra... | skill/quotes.py | quotes = [
{
"headline": "<NAME> über schlechte Chancen",
"content": "Wenn etwas wichtig genug ist, dann mach es, auch wenn alle Chancen gegen dich stehen."
},
{
"headline": "<NAME> über den Aufbau einer Firma",
"content": "Eine Firma aufzubauen ist wie Kuchen backen. Man bra... | 0.233706 | 0.298794 |
import netCDF4 as nc4
def create_monthly_file(writefile,vars_out_salin,vars_out_non_salin,salinity_values,parameters):
'''Creates netCDF dataset for monthly mean output data with all required variables and dimensions. Output variables have two dimensions: a record dimension (with associated month, year and buoy n... | nc_functions.py |
import netCDF4 as nc4
def create_monthly_file(writefile,vars_out_salin,vars_out_non_salin,salinity_values,parameters):
'''Creates netCDF dataset for monthly mean output data with all required variables and dimensions. Output variables have two dimensions: a record dimension (with associated month, year and buoy n... | 0.399812 | 0.384854 |
import twitter
from .config import CONSUMER_KEY, CONSUMER_SECRET
class twitter_api:
def request_token(self, hosturl, token_filename=None, open_browser=True):
oc = hosturl + 'oauth_callback'
tw = twitter.Twitter(
auth=twitter.OAuth('', '', CONSUMER_KEY, CONSUMER_SECRET),
fo... | view/twmng.py | import twitter
from .config import CONSUMER_KEY, CONSUMER_SECRET
class twitter_api:
def request_token(self, hosturl, token_filename=None, open_browser=True):
oc = hosturl + 'oauth_callback'
tw = twitter.Twitter(
auth=twitter.OAuth('', '', CONSUMER_KEY, CONSUMER_SECRET),
fo... | 0.150465 | 0.083516 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | workspaces/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | 0.523177 | 0.135346 |
import cv2
import numpy as np
from PIL import Image
import PIL.Image
import PIL.ImageFont
import PIL.ImageOps
import PIL.ImageDraw
import os
class fragile(object):
class Break(Exception):
"""Break out of the with statement"""
def __init__(self, value):
self.value = value
def __enter__(self)... | ascii_art.py | import cv2
import numpy as np
from PIL import Image
import PIL.Image
import PIL.ImageFont
import PIL.ImageOps
import PIL.ImageDraw
import os
class fragile(object):
class Break(Exception):
"""Break out of the with statement"""
def __init__(self, value):
self.value = value
def __enter__(self)... | 0.439026 | 0.164449 |
import socket
import sys
import getopt
import threading
import subprocess
import getpass
from textwrap import dedent
from typing import Tuple, Union, List
class Helpers:
"""Static functions, to use as helpers"""
@staticmethod
def send_data(to_socket: socket.socket, data_stream: bytes,
... | _netcat.py | import socket
import sys
import getopt
import threading
import subprocess
import getpass
from textwrap import dedent
from typing import Tuple, Union, List
class Helpers:
"""Static functions, to use as helpers"""
@staticmethod
def send_data(to_socket: socket.socket, data_stream: bytes,
... | 0.52756 | 0.09314 |
import sys, os
import numpy as np
import yaml
def detect_images_type(folder):
images = []
if not os.path.isdir(folder):
raise Exception('{} does not exist'.format(folder))
sys.exit(-1)
for root, _, fnames in sorted(os.walk(folder)):
for fname in sorted(fnames):
tmp_type ... | src/utils.py | import sys, os
import numpy as np
import yaml
def detect_images_type(folder):
images = []
if not os.path.isdir(folder):
raise Exception('{} does not exist'.format(folder))
sys.exit(-1)
for root, _, fnames in sorted(os.walk(folder)):
for fname in sorted(fnames):
tmp_type ... | 0.130368 | 0.109182 |
import os
import cv2
import pickle
import imutils
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import precision_recall_fscore_support as prfs
from tensorflow.keras.optimizers import Adam, SGD
from tensorflo... | traffic_sign_classifier.py | import os
import cv2
import pickle
import imutils
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import precision_recall_fscore_support as prfs
from tensorflow.keras.optimizers import Adam, SGD
from tensorflo... | 0.641422 | 0.368178 |
from mypkg.db_settings import session
from prompt_toolkit.application import Application
from prompt_toolkit.layout import HSplit, VSplit, Layout, DummyControl, Window
from prompt_toolkit.widgets import Label, TextArea, Frame
from prompt_toolkit.styles import Style
from prompt_toolkit.key_binding import KeyBinding... | mypkg/prompts/main_prompt.py | from mypkg.db_settings import session
from prompt_toolkit.application import Application
from prompt_toolkit.layout import HSplit, VSplit, Layout, DummyControl, Window
from prompt_toolkit.widgets import Label, TextArea, Frame
from prompt_toolkit.styles import Style
from prompt_toolkit.key_binding import KeyBinding... | 0.225672 | 0.103703 |
import os
from test.data import TEST_DATA_DIR, bob, cheese, hates, likes, michel, pizza, tarek
from rdflib import Dataset, URIRef
timblcardn3 = open(os.path.join(TEST_DATA_DIR, "timbl-card.n3")).read()
def add_stuff(graph):
graph.add((tarek, likes, pizza))
graph.add((tarek, likes, cheese))
graph.add((ta... | test/test_dataset/test_dataset_generators.py | import os
from test.data import TEST_DATA_DIR, bob, cheese, hates, likes, michel, pizza, tarek
from rdflib import Dataset, URIRef
timblcardn3 = open(os.path.join(TEST_DATA_DIR, "timbl-card.n3")).read()
def add_stuff(graph):
graph.add((tarek, likes, pizza))
graph.add((tarek, likes, cheese))
graph.add((ta... | 0.535098 | 0.448909 |
from toolbox.AirWatchAPI import AirWatchAPI as airwatch
from toolbox.csvReport import csvReport
import argparse
import sys
""" Accepted Arguments """
parser = argparse.ArgumentParser(description='AirWatch Custom Attributes Search')
parser.add_argument('name', help='Get list of devices with matching attribute name')
p... | searchCustomAttributes.py |
from toolbox.AirWatchAPI import AirWatchAPI as airwatch
from toolbox.csvReport import csvReport
import argparse
import sys
""" Accepted Arguments """
parser = argparse.ArgumentParser(description='AirWatch Custom Attributes Search')
parser.add_argument('name', help='Get list of devices with matching attribute name')
p... | 0.212477 | 0.072276 |
import collectd
import sys
import time
import pynsca
from pynsca import NSCANotifier
import json
import hashlib
PLUGIN_NAME = 'collectd_notification'
# notitifcation :
# severity => NOTIF_FAILURE || NOTIF_WARNING || NOTIF_OKAY,
# time => time (),
# message => 'status message',
# host => $hostname_g,
# plugin... | collectd_notification.py | import collectd
import sys
import time
import pynsca
from pynsca import NSCANotifier
import json
import hashlib
PLUGIN_NAME = 'collectd_notification'
# notitifcation :
# severity => NOTIF_FAILURE || NOTIF_WARNING || NOTIF_OKAY,
# time => time (),
# message => 'status message',
# host => $hostname_g,
# plugin... | 0.159774 | 0.073796 |
import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.httpserver
import json
import lcm
import threading
### SETTINGS
import settings
import forseti2
LCM_URI = settings.LCM_URI
TYPES_ROOT = forseti2
### END SETTINGS
class WSHandler(tornado.websocket.WebSocketHandler):
def open(self):
... | src/lcm_ws_bridge.py | import tornado.ioloop
import tornado.web
import tornado.websocket
import tornado.httpserver
import json
import lcm
import threading
### SETTINGS
import settings
import forseti2
LCM_URI = settings.LCM_URI
TYPES_ROOT = forseti2
### END SETTINGS
class WSHandler(tornado.websocket.WebSocketHandler):
def open(self):
... | 0.389779 | 0.099208 |
import sys
import os
import shutil
import tempfile
import hashlib
import datetime
from time import time
PY3K = sys.version_info >= (3, 0)
if PY3K:
import urllib.request as ulib
import urllib.parse as urlparse
import http.cookiejar as cjar
else:
import urllib2 as ulib
import urlparse
import co... | wgetter.py | import sys
import os
import shutil
import tempfile
import hashlib
import datetime
from time import time
PY3K = sys.version_info >= (3, 0)
if PY3K:
import urllib.request as ulib
import urllib.parse as urlparse
import http.cookiejar as cjar
else:
import urllib2 as ulib
import urlparse
import co... | 0.416203 | 0.247521 |
from math import ceil
from functools import cached_property
class Paginator:
ELLIPSIS = '...'
def __init__(self, object_list, per_page, count):
"""
Pagintator class.
:param object_list: Can be any iterable or tortoise queryset.
If it's a queryset, tortoise's .offset() and... | tornadmin/utils/paginator.py | from math import ceil
from functools import cached_property
class Paginator:
ELLIPSIS = '...'
def __init__(self, object_list, per_page, count):
"""
Pagintator class.
:param object_list: Can be any iterable or tortoise queryset.
If it's a queryset, tortoise's .offset() and... | 0.805709 | 0.275127 |
from typing import Dict, Iterable, Union
from operator import attrgetter
import numpy as np
from numpy import ndarray
from netprop.data import Data
class DormModel:
"""
Definition or method model
"""
def __init__(self,
name: str,
covs: Iterable[str],
... | src/netprop/dorm_model.py | from typing import Dict, Iterable, Union
from operator import attrgetter
import numpy as np
from numpy import ndarray
from netprop.data import Data
class DormModel:
"""
Definition or method model
"""
def __init__(self,
name: str,
covs: Iterable[str],
... | 0.902074 | 0.339417 |
import datetime;
import pickle;
import re;
import sys;
try:
temp = pickle.load(open('dump.dat'))#created in emailGrab
parsed = open("parsed.dat", "w")
except IOError:
print 'Error opening one or more files.'
sys.exit(1);
line = ''
count = 0
hex = re.compile('[0-9A-F]{2}')
#Packet-specific parsers
def parsegps... | eon/eon/src/util/vis/Parsing/older/newParse.py |
import datetime;
import pickle;
import re;
import sys;
try:
temp = pickle.load(open('dump.dat'))#created in emailGrab
parsed = open("parsed.dat", "w")
except IOError:
print 'Error opening one or more files.'
sys.exit(1);
line = ''
count = 0
hex = re.compile('[0-9A-F]{2}')
#Packet-specific parsers
def parsegps... | 0.101974 | 0.119408 |
import collections
import numpy
import os
import six.moves.urllib
import tarfile
import texmex_python
def get_gmm_random_dataset(k, dimension=100, test_size=5000, train_size=500):
def random_gmm(k, n_sample):
result = numpy.zeros((n_sample, dimension))
for _ in range(k):
cov_source = n... | pqkmeans/evaluation.py | import collections
import numpy
import os
import six.moves.urllib
import tarfile
import texmex_python
def get_gmm_random_dataset(k, dimension=100, test_size=5000, train_size=500):
def random_gmm(k, n_sample):
result = numpy.zeros((n_sample, dimension))
for _ in range(k):
cov_source = n... | 0.343672 | 0.214486 |
import os
import sys
import json
import numpy as np
import dataloader.file_io.get_path as gp
import dataloader.definitions.labels_file as lf
class DatasetParameterset:
"""A class that contains all dataset-specific parameters
- K: Extrinsic camera matrix as a Numpy array. If not available, take None
... | merged_depth/nets/SGDepth/dataloader/pt_data_loader/dataset_parameterset.py |
import os
import sys
import json
import numpy as np
import dataloader.file_io.get_path as gp
import dataloader.definitions.labels_file as lf
class DatasetParameterset:
"""A class that contains all dataset-specific parameters
- K: Extrinsic camera matrix as a Numpy array. If not available, take None
... | 0.554229 | 0.37439 |
import sys
from .bitcoin import Transaction, TransactionInput, TransactionOutput
from .users import UserNetwork
class TransactionNetwork:
""" List of transactions with an unique set of all encountered addresses
(as inputs or outputs of all transactions)
"""
def __init__(self):
self.addres... | app/transactions.py | import sys
from .bitcoin import Transaction, TransactionInput, TransactionOutput
from .users import UserNetwork
class TransactionNetwork:
""" List of transactions with an unique set of all encountered addresses
(as inputs or outputs of all transactions)
"""
def __init__(self):
self.addres... | 0.619586 | 0.415373 |
from .device import Device
from threading import Timer
from .const import (
LOGGER,
STATUS_RESPONSE_INPUTS,
STATUS_RESPONSE_INPUTS_INPUT,
STATUS_RESPONSE_INPUTS_EVENT,
STATUS_RESPONSE_INPUTS_EVENT_CNT
)
class Switch(Device):
"""Class to represent a power meter value"""
def __i... | pyShelly/switch.py |
from .device import Device
from threading import Timer
from .const import (
LOGGER,
STATUS_RESPONSE_INPUTS,
STATUS_RESPONSE_INPUTS_INPUT,
STATUS_RESPONSE_INPUTS_EVENT,
STATUS_RESPONSE_INPUTS_EVENT_CNT
)
class Switch(Device):
"""Class to represent a power meter value"""
def __i... | 0.527073 | 0.12363 |
from abc import ABC
from video_streaming import settings
from video_streaming.celery import celery_app
from video_streaming.core.tasks import ChainCallbackMixin
from video_streaming.ffmpeg.utils import FfmpegCallback
from video_streaming.ffmpeg.constants import TASK_DECORATOR_KWARGS
from .base import BaseStreamingTask
... | video-streaming/video_streaming/ffmpeg/tasks/create_playlist.py | from abc import ABC
from video_streaming import settings
from video_streaming.celery import celery_app
from video_streaming.core.tasks import ChainCallbackMixin
from video_streaming.ffmpeg.utils import FfmpegCallback
from video_streaming.ffmpeg.constants import TASK_DECORATOR_KWARGS
from .base import BaseStreamingTask
... | 0.550124 | 0.120853 |
from scipy.optimize import fsolve
def interpolator(value , x_series, y_series):
if not(len(x_series) == len(y_series)):
print('x and y must have the same lenght')
return 'ERR'
for i in range(1, len(x_series)):
if (value <= x_series[i]) and (value >= x_series[i - 1]):
... | Code/Performance/Functions.py | from scipy.optimize import fsolve
def interpolator(value , x_series, y_series):
if not(len(x_series) == len(y_series)):
print('x and y must have the same lenght')
return 'ERR'
for i in range(1, len(x_series)):
if (value <= x_series[i]) and (value >= x_series[i - 1]):
... | 0.316053 | 0.602997 |
import argparse
from typing import List
from pydantic import BaseModel, Field
from MHDDoS.methods.methods import Methods
class Arguments(BaseModel):
targets: List[str] = Field(default=[])
config: str = Field(default=None)
config_fetch_interval: float = Field(default=600)
attack_methods: List[str] = ... | utils/input_args.py | import argparse
from typing import List
from pydantic import BaseModel, Field
from MHDDoS.methods.methods import Methods
class Arguments(BaseModel):
targets: List[str] = Field(default=[])
config: str = Field(default=None)
config_fetch_interval: float = Field(default=600)
attack_methods: List[str] = ... | 0.717012 | 0.201401 |
import re
import io
day23 = __import__("day-23")
process = day23.process_gen
def get_intcode():
with open('day-25.txt', 'r') as f:
text = f.read().strip()
idata = [int(x) for x in text.split(',')]
return idata
def parse_output(text):
lines = text.split('\n')
name, doors, items = None, [],... | day-25.py | import re
import io
day23 = __import__("day-23")
process = day23.process_gen
def get_intcode():
with open('day-25.txt', 'r') as f:
text = f.read().strip()
idata = [int(x) for x in text.split(',')]
return idata
def parse_output(text):
lines = text.split('\n')
name, doors, items = None, [],... | 0.099607 | 0.1602 |
import configparser
from influxdb_client import InfluxDBClient
from influxdb_client.client.write_api import SYNCHRONOUS
class PysentelConfig(object):
"""
Module for handling configs in an easy and objected manner.
"""
def __init__(self):
"""
Initialization constructor - create config-... | pysentel/helpers.py | import configparser
from influxdb_client import InfluxDBClient
from influxdb_client.client.write_api import SYNCHRONOUS
class PysentelConfig(object):
"""
Module for handling configs in an easy and objected manner.
"""
def __init__(self):
"""
Initialization constructor - create config-... | 0.662141 | 0.129623 |
class HiveConnectParams(object):
"""Implementation of the 'HiveConnectParams' model.
Specifies an Object containing information about a registered Hive
source.
Attributes:
hdfs_entity_id (int|long): Specifies the entity id of the HDFS source
for this Hive
kerberos_princi... | cohesity_management_sdk/models/hive_connect_params.py |
class HiveConnectParams(object):
"""Implementation of the 'HiveConnectParams' model.
Specifies an Object containing information about a registered Hive
source.
Attributes:
hdfs_entity_id (int|long): Specifies the entity id of the HDFS source
for this Hive
kerberos_princi... | 0.863363 | 0.405802 |
import argparse
import sys
import tempfile
from time import time
import random
from os import listdir
from os.path import isfile, join
import pandas
import numpy as np
import tensorflow as tf
from sklearn import metrics
# model settings
# Static seed to allow for reproducability between training runs
tf.set_random_... | Chatbot_KG/stock/MLP.py | import argparse
import sys
import tempfile
from time import time
import random
from os import listdir
from os.path import isfile, join
import pandas
import numpy as np
import tensorflow as tf
from sklearn import metrics
# model settings
# Static seed to allow for reproducability between training runs
tf.set_random_... | 0.54819 | 0.419232 |
import sys
from PyQt5.QtWidgets import QDialog, QApplication, QPushButton, QVBoxLayout
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
import matplotlib.dates as mda... | Interfaz/PlotWindow.py | import sys
from PyQt5.QtWidgets import QDialog, QApplication, QPushButton, QVBoxLayout
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
import matplotlib.dates as mda... | 0.542621 | 0.314702 |
import argparse
import os
import sys
from enerpi.base import BASE_PATH, DATA_PATH, CONFIG, log, check_resource_files, NGINX_CONFIG_FILE, UWSGI_CONFIG_FILE
from enerpi.prettyprinting import print_secc, print_cyan, print_red, print_magenta
FLASK_WEBSERVER_PORT = CONFIG.getint('ENERPI_WEBSERVER', 'FLASK_WEBSERVER_PORT',... | enerpiweb/command_enerpiweb.py | import argparse
import os
import sys
from enerpi.base import BASE_PATH, DATA_PATH, CONFIG, log, check_resource_files, NGINX_CONFIG_FILE, UWSGI_CONFIG_FILE
from enerpi.prettyprinting import print_secc, print_cyan, print_red, print_magenta
FLASK_WEBSERVER_PORT = CONFIG.getint('ENERPI_WEBSERVER', 'FLASK_WEBSERVER_PORT',... | 0.212069 | 0.046812 |
from .base_options import BaseOptions
class TrainOptions(BaseOptions):
"""This class includes training options.
It also includes shared options defined in BaseOptions.
"""
def initialize(self, parser):
parser = BaseOptions.initialize(self, parser)
# visualization parameters
p... | options/train_options.py | from .base_options import BaseOptions
class TrainOptions(BaseOptions):
"""This class includes training options.
It also includes shared options defined in BaseOptions.
"""
def initialize(self, parser):
parser = BaseOptions.initialize(self, parser)
# visualization parameters
p... | 0.690455 | 0.216923 |
from typing import Tuple, List, Dict, Optional
import torch
from torch import Tensor
from transformers import AutoTokenizer, RobertaTokenizer
from torch.utils.data.dataset import Dataset, T_co, TensorDataset
class BaseDictCollator:
def __init__(self, add_mlm_labels: bool = False, mlm_probability: float = 0.15, t... | dataset/collators/base_collator.py | from typing import Tuple, List, Dict, Optional
import torch
from torch import Tensor
from transformers import AutoTokenizer, RobertaTokenizer
from torch.utils.data.dataset import Dataset, T_co, TensorDataset
class BaseDictCollator:
def __init__(self, add_mlm_labels: bool = False, mlm_probability: float = 0.15, t... | 0.940469 | 0.599895 |
import base64
import json
from copy import deepcopy
from typing import Any, Dict, Mapping
from flask import Blueprint, current_app, request
from mock import patch
from eduid_userdb import User
from eduid_userdb.fixtures.fido_credentials import u2f_credential, webauthn_credential
from eduid_userdb.fixtures.users impor... | src/eduid_common/authn/tests/test_fido_tokens.py | import base64
import json
from copy import deepcopy
from typing import Any, Dict, Mapping
from flask import Blueprint, current_app, request
from mock import patch
from eduid_userdb import User
from eduid_userdb.fixtures.fido_credentials import u2f_credential, webauthn_credential
from eduid_userdb.fixtures.users impor... | 0.605449 | 0.118334 |
from enum import Enum, auto
from ..geometry import Position, Vector, Size
from ..events import handlers
from .core import Align, ZOrder
from . import toolkit
from . import basic
from . import containers
from . import decorations
from . import renderers
class UIWidget:
def __init__(self, default_colors, *args,... | rogal/console/widgets.py | from enum import Enum, auto
from ..geometry import Position, Vector, Size
from ..events import handlers
from .core import Align, ZOrder
from . import toolkit
from . import basic
from . import containers
from . import decorations
from . import renderers
class UIWidget:
def __init__(self, default_colors, *args,... | 0.733261 | 0.139895 |
import copy
from .. import base
__all__ = ['SplitRegressor']
class SplitRegressor(base.Regressor):
"""Runs a different regressor based on the value of a specified attribute.
Parameters:
on (str): The feature on which to perform the split.
models (dict): A mapping between feature values and... | creme/compose/split.py | import copy
from .. import base
__all__ = ['SplitRegressor']
class SplitRegressor(base.Regressor):
"""Runs a different regressor based on the value of a specified attribute.
Parameters:
on (str): The feature on which to perform the split.
models (dict): A mapping between feature values and... | 0.878965 | 0.448426 |
"""Hyper-parameters support classes for TensorFlow Lattice estimators."""
from distutils.util import strtobool
import six
from tensorflow_lattice.python.lib import regularizers
class PerFeatureHParams(object):
"""Parameters object with per feature parametrization.
Each parameter can be overwritten for specific ... | tensorflow_lattice/python/estimators/hparams.py | """Hyper-parameters support classes for TensorFlow Lattice estimators."""
from distutils.util import strtobool
import six
from tensorflow_lattice.python.lib import regularizers
class PerFeatureHParams(object):
"""Parameters object with per feature parametrization.
Each parameter can be overwritten for specific ... | 0.958499 | 0.716305 |
import numpy as np
import dolfin as df
import ufl
import matplotlib.pyplot as plt
if __name__ == '__main__':
# Number of elements
nel = 200
# Local approximation order
p = 2
# Strength of nonlinearity
a = 10
# Construct mesh on [0,1]
mesh = df.IntervalMesh(nel,0,1)
... | newton.py | import numpy as np
import dolfin as df
import ufl
import matplotlib.pyplot as plt
if __name__ == '__main__':
# Number of elements
nel = 200
# Local approximation order
p = 2
# Strength of nonlinearity
a = 10
# Construct mesh on [0,1]
mesh = df.IntervalMesh(nel,0,1)
... | 0.743541 | 0.614365 |
import pytest
from unittest import mock
from molly.constants import TOP_20_PORTS, ALL_PORTS, FIRST_1000_PORTS
def test_basic_molly(_molly):
assert _molly.max_workers == 4
assert _molly.hostname == 'scanme.nmap.org'
assert _molly.mode == 'common'
_molly.max_workers = 20
_molly.target = 'localhost'
... | molly/tests/test_molly.py | import pytest
from unittest import mock
from molly.constants import TOP_20_PORTS, ALL_PORTS, FIRST_1000_PORTS
def test_basic_molly(_molly):
assert _molly.max_workers == 4
assert _molly.hostname == 'scanme.nmap.org'
assert _molly.mode == 'common'
_molly.max_workers = 20
_molly.target = 'localhost'
... | 0.590425 | 0.482002 |
import os
import subprocess
program = lambda num_runs, threshold: f'''
#include <vector>
#include "llvm/Analysis/InlineCost.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/InstIterator.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/LegacyPassManager.h"
#include "llvm/Pass.h"
#include "llvm/Support/raw_ostre... | run.py | import os
import subprocess
program = lambda num_runs, threshold: f'''
#include <vector>
#include "llvm/Analysis/InlineCost.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/InstIterator.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/LegacyPassManager.h"
#include "llvm/Pass.h"
#include "llvm/Support/raw_ostre... | 0.264833 | 0.052014 |
from tqdm import tqdm
import numpy as np
from typing import Any, Callable, List, Optional, Union
from alibi_detect.cd.base_online import BaseUniDriftOnline
from alibi_detect.utils.misc import quantile
from scipy.stats import hypergeom
import numba as nb
import warnings
class FETDriftOnline(BaseUniDriftOnline):
de... | alibi_detect/cd/fet_online.py | from tqdm import tqdm
import numpy as np
from typing import Any, Callable, List, Optional, Union
from alibi_detect.cd.base_online import BaseUniDriftOnline
from alibi_detect.utils.misc import quantile
from scipy.stats import hypergeom
import numba as nb
import warnings
class FETDriftOnline(BaseUniDriftOnline):
de... | 0.952849 | 0.554531 |
from base64 import b64encode, b64decode
from bs4 import BeautifulSoup as soup
from bz2 import BZ2File
from collections import Counter, OrderedDict
from copy import deepcopy
from datetime import datetime as dt, timedelta
try:
from etk.extractors.date_extractor import DateExtractor
except OSError:
from s... | datamart/materializers/wikitables_downloader/utils.py | from base64 import b64encode, b64decode
from bs4 import BeautifulSoup as soup
from bz2 import BZ2File
from collections import Counter, OrderedDict
from copy import deepcopy
from datetime import datetime as dt, timedelta
try:
from etk.extractors.date_extractor import DateExtractor
except OSError:
from s... | 0.328422 | 0.095097 |
import os
import sys
import getopt
from pptx import Presentation
from pptx.util import Inches
def main():
argv = sys.argv[1:]
pathtofiles = '.'
outputfile = 'test.pptx'
templatefile = './template.pptx'
sort = 'm'
try:
opts, args = getopt.getopt(argv,"hfi:o:t:",["imagelocationdirectory=... | photoslides/__main__.py | import os
import sys
import getopt
from pptx import Presentation
from pptx.util import Inches
def main():
argv = sys.argv[1:]
pathtofiles = '.'
outputfile = 'test.pptx'
templatefile = './template.pptx'
sort = 'm'
try:
opts, args = getopt.getopt(argv,"hfi:o:t:",["imagelocationdirectory=... | 0.098957 | 0.086054 |
import itertools as itt
import os
import tempfile
from ..biotools import blast_sequence
class PostProcessingMixin:
def compute_full_assembly_plan(self, id_prefix="S", id_digits=5):
""" """
counter = itt.count()
def rec(quote):
if not quote.accepted:
return quo... | dnaweaver/DnaQuote/PostProcessingMixin.py | import itertools as itt
import os
import tempfile
from ..biotools import blast_sequence
class PostProcessingMixin:
def compute_full_assembly_plan(self, id_prefix="S", id_digits=5):
""" """
counter = itt.count()
def rec(quote):
if not quote.accepted:
return quo... | 0.529263 | 0.138666 |
import logging
from typing import Dict, Sequence, Type, Optional, Callable, Union, Any
from concord.context import Context
from concord.exceptions import ExtensionManagerError
from concord.middleware import (
Middleware,
MiddlewareChain,
chain_of,
sequence_of,
MiddlewareResult,
)
log = logging.ge... | concord/extension.py | import logging
from typing import Dict, Sequence, Type, Optional, Callable, Union, Any
from concord.context import Context
from concord.exceptions import ExtensionManagerError
from concord.middleware import (
Middleware,
MiddlewareChain,
chain_of,
sequence_of,
MiddlewareResult,
)
log = logging.ge... | 0.897223 | 0.220741 |
import unittest
import numpy as np
from weis.multifidelity.models.testbed_components import simple_2D_high_model, simple_2D_low_model
from weis.multifidelity.methods.base_method import BaseMethod
class Test(unittest.TestCase):
def test_set_initial_point(self):
np.random.seed(13)
... | weis/multifidelity/test/test_base_method.py | import unittest
import numpy as np
from weis.multifidelity.models.testbed_components import simple_2D_high_model, simple_2D_low_model
from weis.multifidelity.methods.base_method import BaseMethod
class Test(unittest.TestCase):
def test_set_initial_point(self):
np.random.seed(13)
... | 0.424889 | 0.595669 |
from typing import Optional
from spectrumdevice import MockSpectrumCard, SpectrumCard
from spectrumdevice.devices.measurement import Measurement
from spectrumdevice.settings import (
AcquisitionMode,
CardType,
TriggerSource,
ExternalTriggerMode,
TriggerSettings,
AcquisitionSettings,
)
def st... | example_scripts/standard_single_mode.py | from typing import Optional
from spectrumdevice import MockSpectrumCard, SpectrumCard
from spectrumdevice.devices.measurement import Measurement
from spectrumdevice.settings import (
AcquisitionMode,
CardType,
TriggerSource,
ExternalTriggerMode,
TriggerSettings,
AcquisitionSettings,
)
def st... | 0.909574 | 0.166438 |
import os
import unittest
from datetime import datetime, timedelta, date
from flask import json
import sys
sys.path.append(".") # Adds higher directory to python modules path.
from extensions import db
from app import create_app
from config import TestConfig
from controllers.database.pandemic_whistle import PandemicWh... | tests/test_reports.py | import os
import unittest
from datetime import datetime, timedelta, date
from flask import json
import sys
sys.path.append(".") # Adds higher directory to python modules path.
from extensions import db
from app import create_app
from config import TestConfig
from controllers.database.pandemic_whistle import PandemicWh... | 0.296858 | 0.233335 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('billing', '0001_initial'),
('vendors', '0001_initial'),
('carts', '0002_auto_20200601_2225'),
('orders', '0001_initial'),
... | baby_backend/apps/orders/migrations/0002_auto_20200601_2225.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('billing', '0001_initial'),
('vendors', '0001_initial'),
('carts', '0002_auto_20200601_2225'),
('orders', '0001_initial'),
... | 0.589362 | 0.095645 |
import numpy as np
from RecSysFramework.Recommender.MatrixFactorization.MatrixFactorization_Cython import BPR_NNMF, BPRMF, FUNK_NNMF, FunkSVD
from RecSysFramework.Recommender.MatrixFactorization.PureSVD import PureSVD
from RecSysFramework.Recommender.KNN.ItemKNNCFRecommender import ItemKNNCF
from RecSysFramework.Recomm... | RecSysFramework/Experiments/recommended_items_popularity_analysis.py | import numpy as np
from RecSysFramework.Recommender.MatrixFactorization.MatrixFactorization_Cython import BPR_NNMF, BPRMF, FUNK_NNMF, FunkSVD
from RecSysFramework.Recommender.MatrixFactorization.PureSVD import PureSVD
from RecSysFramework.Recommender.KNN.ItemKNNCFRecommender import ItemKNNCF
from RecSysFramework.Recomm... | 0.539469 | 0.236494 |
from json import dumps
from unittest import TestCase, mock
from unittest.mock import Mock
import data_gathering_subsystem.data_modules.air_pollution.air_pollution as air_pollution
class TestAirPollution(TestCase):
@classmethod
def setUp(cls):
air_pollution.instance(log_to_stdout=False, log_to_telegr... | data_gathering_subsystem/test/data_modules/test_air_pollution.py | from json import dumps
from unittest import TestCase, mock
from unittest.mock import Mock
import data_gathering_subsystem.data_modules.air_pollution.air_pollution as air_pollution
class TestAirPollution(TestCase):
@classmethod
def setUp(cls):
air_pollution.instance(log_to_stdout=False, log_to_telegr... | 0.616128 | 0.525551 |
import settings
from utils import get_most_recent
from periscope_client import PeriscopeClient
logger = settings.get_logger('unis_client')
class UNISInstance:
def __init__(self, service):
self.service = service
self.config = service["properties"]["configurations"]
unis_url=self.config["uni... | blipp/unis_client.py | import settings
from utils import get_most_recent
from periscope_client import PeriscopeClient
logger = settings.get_logger('unis_client')
class UNISInstance:
def __init__(self, service):
self.service = service
self.config = service["properties"]["configurations"]
unis_url=self.config["uni... | 0.381911 | 0.223992 |
from abc import ABC
from nerdchess.config import MOVE_REGEX, letterlist, numbers
class Move(ABC):
"""
Represents a move in a game of chess.
Parameters:
move(String): A string that's tested with the regex
'[a-h][1-8][a-h][1-8]'
Attributes:
text(String): String re... | nerdchess/move.py | from abc import ABC
from nerdchess.config import MOVE_REGEX, letterlist, numbers
class Move(ABC):
"""
Represents a move in a game of chess.
Parameters:
move(String): A string that's tested with the regex
'[a-h][1-8][a-h][1-8]'
Attributes:
text(String): String re... | 0.93627 | 0.541894 |
import base64
import endpoints
import json
import os
from google.appengine.api import mail
from google.appengine.ext import deferred
from google.appengine.ext.webapp import template
from models import PrivateKeys
from models import Unsubscribed
from protorpc import remote
from subscribe_api_messages import RequestM... | subscribe_api.py | import base64
import endpoints
import json
import os
from google.appengine.api import mail
from google.appengine.ext import deferred
from google.appengine.ext.webapp import template
from models import PrivateKeys
from models import Unsubscribed
from protorpc import remote
from subscribe_api_messages import RequestM... | 0.569853 | 0.052863 |
import os
import posixpath
from typing import Callable
from fastapi import APIRouter, File, UploadFile, Depends, Query, Form, Body
from fastapi.responses import JSONResponse
from utils import http
from utils.security import safe_join
from ..config import get_upload
from ..schemas.upload_schema import UploadSchema
ro... | app/file/routes/upload.py | import os
import posixpath
from typing import Callable
from fastapi import APIRouter, File, UploadFile, Depends, Query, Form, Body
from fastapi.responses import JSONResponse
from utils import http
from utils.security import safe_join
from ..config import get_upload
from ..schemas.upload_schema import UploadSchema
ro... | 0.503174 | 0.188735 |
def logic(*args, **kwargs): # More complicated example of custom method. Allows for adding logic gates.
"""
Simple logic gate construct that can take any number of inputs
:param args: first arg is name of gate, all following args are input values
:param kwargs: true=true_condition(default=1) false=fa... | sketchymaths/sketchymathmethods/logic.py | def logic(*args, **kwargs): # More complicated example of custom method. Allows for adding logic gates.
"""
Simple logic gate construct that can take any number of inputs
:param args: first arg is name of gate, all following args are input values
:param kwargs: true=true_condition(default=1) false=fa... | 0.689096 | 0.397354 |
import torch
import torch.nn as nn
from network.head import *
from network.resnet import *
import torch.nn.functional as F
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import connected_components
import numpy as np
class ClInfoNCE(nn.Module):
def __init__(self, dim_hidden=2048, dim=128, model='res... | network/clinfo.py | import torch
import torch.nn as nn
from network.head import *
from network.resnet import *
import torch.nn.functional as F
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import connected_components
import numpy as np
class ClInfoNCE(nn.Module):
def __init__(self, dim_hidden=2048, dim=128, model='res... | 0.853303 | 0.45538 |
from Config import Config
from src.orm.SqlUtil import SqlUtil
from flask import Flask, request
from src.Handler.MetricHandler import MetricHandler
from src.Handler.MainHandler import MainHandler
from src.Handler.StatusHandler import StatusHandler
from src.Handler.GetHandler import GetHandler
import os
import sys
from ... | PrivateMonitorServer/main.py |
from Config import Config
from src.orm.SqlUtil import SqlUtil
from flask import Flask, request
from src.Handler.MetricHandler import MetricHandler
from src.Handler.MainHandler import MainHandler
from src.Handler.StatusHandler import StatusHandler
from src.Handler.GetHandler import GetHandler
import os
import sys
from ... | 0.197715 | 0.067393 |