code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from argparse import ArgumentParser
import json
import logging
import sys
from . import LOG_PARSER
from ..api import (MICRODROP_CONDA_ETC, MICRODROP_CONDA_SHARE, disable_plugin,
enable_plugin)
PLUGIN_PARSER = ArgumentParser(add_help=False, parents=[LOG_PARSER])
PLUGIN_PARSER.add_argument('--json',... | mpm/bin/api.py | from argparse import ArgumentParser
import json
import logging
import sys
from . import LOG_PARSER
from ..api import (MICRODROP_CONDA_ETC, MICRODROP_CONDA_SHARE, disable_plugin,
enable_plugin)
PLUGIN_PARSER = ArgumentParser(add_help=False, parents=[LOG_PARSER])
PLUGIN_PARSER.add_argument('--json',... | 0.410166 | 0.054199 |
from directional_clustering.fields import AbstractField
__all__ = ["Field"]
class Field(AbstractField):
"""
A concrete field.
Basically, a container for scalars and vectors.
One key can store exclusively one value at a time.
It is crucial to have it as a datastructure where a field's entries
... | src/directional_clustering/fields/field.py | from directional_clustering.fields import AbstractField
__all__ = ["Field"]
class Field(AbstractField):
"""
A concrete field.
Basically, a container for scalars and vectors.
One key can store exclusively one value at a time.
It is crucial to have it as a datastructure where a field's entries
... | 0.947051 | 0.670649 |
from test_include import *
import numpy as np
'''
# of queries: 5, number of bins in ISOMER: 7
# of queries: 10, number of bins in ISOMER: 30
# of queries: 15, number of bins in ISOMER: 80
# of queries: 20, number of bins in ISOMER: 203
# of queries: 25, number of bins in ISOMER: 603
# of queries: 30, number of bins i... | test/python/test_estimate_normal.py | from test_include import *
import numpy as np
'''
# of queries: 5, number of bins in ISOMER: 7
# of queries: 10, number of bins in ISOMER: 30
# of queries: 15, number of bins in ISOMER: 80
# of queries: 20, number of bins in ISOMER: 203
# of queries: 25, number of bins in ISOMER: 603
# of queries: 30, number of bins i... | 0.376967 | 0.700203 |
import csv
import numpy as np
import math
PREFER_WORSE = False # When true, means that rewarding tends to have worse rewards coming first rather than better
def reorder_rewards_by_quartile(reward_in_file, reward_out_file, ordering_function,softmax_beta):
with open(reward_in_file, newline='') as inf, open(reward_o... | louie_experiments/reorder_samples_in_rewards.py | import csv
import numpy as np
import math
PREFER_WORSE = False # When true, means that rewarding tends to have worse rewards coming first rather than better
def reorder_rewards_by_quartile(reward_in_file, reward_out_file, ordering_function,softmax_beta):
with open(reward_in_file, newline='') as inf, open(reward_o... | 0.386879 | 0.452596 |
__all__ = ["IterValueGenerator", "DependentValueGenerator", "Zip", "Product"]
class ValueGenerator(object):
"""Value generator.."""
def __init__(self, name, limit=float("inf")):
"""Base class of a value generators."""
self._name = name
self._cached_value = None
self._limit = ... | protofuzz/gen.py |
__all__ = ["IterValueGenerator", "DependentValueGenerator", "Zip", "Product"]
class ValueGenerator(object):
"""Value generator.."""
def __init__(self, name, limit=float("inf")):
"""Base class of a value generators."""
self._name = name
self._cached_value = None
self._limit = ... | 0.778649 | 0.241803 |
from typing import Optional, List
from enum import Enum
import requests
from fastapi import APIRouter, Depends, Query, HTTPException
from sqlalchemy import func, or_
from sqlalchemy.orm import contains_eager
from .db import SessionLocal, get_db, models
from .schemas import Person, OrgClassification
from .pagination imp... | api/people.py | from typing import Optional, List
from enum import Enum
import requests
from fastapi import APIRouter, Depends, Query, HTTPException
from sqlalchemy import func, or_
from sqlalchemy.orm import contains_eager
from .db import SessionLocal, get_db, models
from .schemas import Person, OrgClassification
from .pagination imp... | 0.805211 | 0.173673 |
import glob
import os
from arguments import get_args
from gym.spaces.box import Box
from model import Policy
import numpy as np
import torch
import torch.nn as nn
args = get_args()
args.demos_dir = '/usr/local/google/home/alexisjacq/' + args.demos_dir
args.rewards_dir = '/usr/local/google/home/alexisjacq/' + args.re... | lfl/mujoco/lfl.py | import glob
import os
from arguments import get_args
from gym.spaces.box import Box
from model import Policy
import numpy as np
import torch
import torch.nn as nn
args = get_args()
args.demos_dir = '/usr/local/google/home/alexisjacq/' + args.demos_dir
args.rewards_dir = '/usr/local/google/home/alexisjacq/' + args.re... | 0.688364 | 0.274777 |
import os
import sys
import threading
import asyncio
from datetime import datetime
from queue import Empty
from typing import List, Callable
from zthreading.events import EventHandler, get_active_loop, Event
from zthreading.exceptions import TaskOperationException
def get_asyncio_future_event_loop(task: asyncio.Tas... | zthreading/tasks.py | import os
import sys
import threading
import asyncio
from datetime import datetime
from queue import Empty
from typing import List, Callable
from zthreading.events import EventHandler, get_active_loop, Event
from zthreading.exceptions import TaskOperationException
def get_asyncio_future_event_loop(task: asyncio.Tas... | 0.589835 | 0.127435 |
import os
import yaml
import json
from RoboticsLanguage.Base import Utilities
from RoboticsLanguage.Tools import Templates
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
def output(code, parameters):
Utilities.logging.info("Output generic...")
... | RoboticsLanguage/Outputs/Generic/Output.py | import os
import yaml
import json
from RoboticsLanguage.Base import Utilities
from RoboticsLanguage.Tools import Templates
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
def output(code, parameters):
Utilities.logging.info("Output generic...")
... | 0.114542 | 0.063222 |
from __future__ import absolute_import
from __future__ import unicode_literals
from influxdb import InfluxDBClient
from oslo_config import cfg
from oslo_log import log
from watcher_metering.store.base import MetricsStoreClientBase
from watcher_metering.store.base import MetricsStoreError
LOG = log.getLogger(__name... | watcher_metering/store/influxdb.py |
from __future__ import absolute_import
from __future__ import unicode_literals
from influxdb import InfluxDBClient
from oslo_config import cfg
from oslo_log import log
from watcher_metering.store.base import MetricsStoreClientBase
from watcher_metering.store.base import MetricsStoreError
LOG = log.getLogger(__name... | 0.832237 | 0.077169 |
import gdal, osr
import numpy as np
from math import ceil
from .wrapper import array, full
from .gdalio import _getDataset, _fromDataset
from .gdalspatial import _Projection, _Transformer
gdal.UseExceptions()
gdal.PushErrorHandler('CPLQuietErrorHandler')
_RESAMPLING = {
# A documentation would be nice.
# The... | jams/geoarray/geoarray/gdalfuncs.py |
import gdal, osr
import numpy as np
from math import ceil
from .wrapper import array, full
from .gdalio import _getDataset, _fromDataset
from .gdalspatial import _Projection, _Transformer
gdal.UseExceptions()
gdal.PushErrorHandler('CPLQuietErrorHandler')
_RESAMPLING = {
# A documentation would be nice.
# The... | 0.576304 | 0.210726 |
from __future__ import print_function
import os
import sys
import struct
import argparse
from libxed import LibXED
from ctypes import create_string_buffer, addressof
sys.path.append(os.environ['PERF_EXEC_PATH'] + \
'/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
from perf_trace_context import perf_set_itrace_op... | tools/perf/scripts/python/intel-pt-events.py |
from __future__ import print_function
import os
import sys
import struct
import argparse
from libxed import LibXED
from ctypes import create_string_buffer, addressof
sys.path.append(os.environ['PERF_EXEC_PATH'] + \
'/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
from perf_trace_context import perf_set_itrace_op... | 0.195748 | 0.088899 |
import numpy as np
import matplotlib.pyplot as plt
import datetime
import os
import tensorflow as tf
def timeseries_plot_with_std_bands(timeseries, window_size: int, xlabel=None, ylabel=None, xticks=None, color='C0'):
_timeseries = np.array(timeseries)
i = 0
means = []
stds = []
while i + window_s... | reinforceflow/utils/logging.py | import numpy as np
import matplotlib.pyplot as plt
import datetime
import os
import tensorflow as tf
def timeseries_plot_with_std_bands(timeseries, window_size: int, xlabel=None, ylabel=None, xticks=None, color='C0'):
_timeseries = np.array(timeseries)
i = 0
means = []
stds = []
while i + window_s... | 0.416797 | 0.375477 |
import matplotlib.pyplot as plt
def getResiduals(resFile):
my_file = open(resFile, "r")
txt = my_file.read()
my_file.close()
sec = txt.split('((')
resDict = dict()
keys = []
for i in range(1,len(sec)):
title = sec[i].split(')')[0]
key = title.split('"')[1]
keys.appen... | residualExtract.py | import matplotlib.pyplot as plt
def getResiduals(resFile):
my_file = open(resFile, "r")
txt = my_file.read()
my_file.close()
sec = txt.split('((')
resDict = dict()
keys = []
for i in range(1,len(sec)):
title = sec[i].split(')')[0]
key = title.split('"')[1]
keys.appen... | 0.210604 | 0.369969 |
import pyarrow as pa
from typing import Dict, Any
from meillionen.meillionen import ResourceBuilder, DataFrameSchema, TensorSchema, Schemaless
from meillionen.resource import RESOURCES, VALIDATORS
class FuncBase:
SERIALIZERS = None
def __init__(self, sources: Dict[str, Any], sinks: Dict[str, Any]):
... | meillionen-mt-python/meillionen/function.py | import pyarrow as pa
from typing import Dict, Any
from meillionen.meillionen import ResourceBuilder, DataFrameSchema, TensorSchema, Schemaless
from meillionen.resource import RESOURCES, VALIDATORS
class FuncBase:
SERIALIZERS = None
def __init__(self, sources: Dict[str, Any], sinks: Dict[str, Any]):
... | 0.777173 | 0.253382 |
import base64
import functools
import logging
import re
import requests
import sys
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from mitmproxy import http, ctx
from mitmproxy.script import concurrent
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
# ... | ssdr.py | import base64
import functools
import logging
import re
import requests
import sys
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor
from mitmproxy import http, ctx
from mitmproxy.script import concurrent
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
# ... | 0.401101 | 0.127029 |
import html
import re
from heybrochecklog.shared import format_pattern as fmt_ptn
def eac_track_matches(translation):
"""Generate the list of to-match lines from translations."""
source_one = {
'log4': ['1269', '1270', '1217', '1299', '1227', '1218'],
'good': ['1220', '1281'],
'crc': ... | heybrochecklog/markup/matches.py | import html
import re
from heybrochecklog.shared import format_pattern as fmt_ptn
def eac_track_matches(translation):
"""Generate the list of to-match lines from translations."""
source_one = {
'log4': ['1269', '1270', '1217', '1299', '1227', '1218'],
'good': ['1220', '1281'],
'crc': ... | 0.672224 | 0.276608 |
from dependency_injector import providers, containers
from annotation import AnnotationHandler
from camera import CameraHandler
from feedback import FeedbackHandler
from image import ImageHandler
from user import UserHandler
from base import BaseConnection
class AttributeFactory(providers.Provider):
__slots__ = ... | source/backend/database/containers.py | from dependency_injector import providers, containers
from annotation import AnnotationHandler
from camera import CameraHandler
from feedback import FeedbackHandler
from image import ImageHandler
from user import UserHandler
from base import BaseConnection
class AttributeFactory(providers.Provider):
__slots__ = ... | 0.478041 | 0.112405 |
import asyncio
import unittest
import unittest.mock
from test.base_test import BaseTest
from idfy_sdk.version import version
import idfy_sdk
class TestIdentification(BaseTest):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.identification_service = idfy_sdk.services.Identification... | test/test_services/test_identification.py | import asyncio
import unittest
import unittest.mock
from test.base_test import BaseTest
from idfy_sdk.version import version
import idfy_sdk
class TestIdentification(BaseTest):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.identification_service = idfy_sdk.services.Identification... | 0.453746 | 0.343369 |
from unittest.main import main
from flask import app
from flask.typing import StatusCode
import unittest
import sys, os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
from main import app
class Flas... | UnitTesting/login_page_testing.py | from unittest.main import main
from flask import app
from flask.typing import StatusCode
import unittest
import sys, os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
from main import app
class Flas... | 0.287168 | 0.158435 |
import argparse
import json
import sys
import pandas as pd
from sklearn import metrics
from sklearn.externals import joblib
import sklearn.svm as svm
import sklearn.grid_search as grid_search
import sklearn.cross_validation as cv
import sklearn.preprocessing as prep
import genre_classifier.log as log
__author__ = '<NA... | bin/train_model.py | import argparse
import json
import sys
import pandas as pd
from sklearn import metrics
from sklearn.externals import joblib
import sklearn.svm as svm
import sklearn.grid_search as grid_search
import sklearn.cross_validation as cv
import sklearn.preprocessing as prep
import genre_classifier.log as log
__author__ = '<NA... | 0.389663 | 0.376795 |
from tqdm import tqdm
import os
import shutil
import numpy as np
import pandas as pd
from models import *
from metrics import *
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from torch.autograd import Variable
import torch.utils.tensorboard as tb
import ... | Code/MNIST.py | from tqdm import tqdm
import os
import shutil
import numpy as np
import pandas as pd
from models import *
from metrics import *
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
from torch.autograd import Variable
import torch.utils.tensorboard as tb
import ... | 0.69181 | 0.352759 |
import logging
import copy
from spaceone.core.service import *
from spaceone.core import utils
from spaceone.statistics.error import *
from spaceone.statistics.manager.resource_manager import ResourceManager
from spaceone.statistics.manager.schedule_manager import ScheduleManager
_LOGGER = logging.getLogger(__name__... | src/spaceone/statistics/service/schedule_service.py | import logging
import copy
from spaceone.core.service import *
from spaceone.core import utils
from spaceone.statistics.error import *
from spaceone.statistics.manager.resource_manager import ResourceManager
from spaceone.statistics.manager.schedule_manager import ScheduleManager
_LOGGER = logging.getLogger(__name__... | 0.611962 | 0.084985 |
from typing import List
from scienco import Indexes
from scienco import automated_readability_index
from scienco import coleman_liau_index
from scienco import compute_indexes
from scienco import flesch_reading_ease_score
def test_flesch_reading_ease_score() -> None:
null_metrics: List[float] = [
flesch_... | tests/test_indexes.py |
from typing import List
from scienco import Indexes
from scienco import automated_readability_index
from scienco import coleman_liau_index
from scienco import compute_indexes
from scienco import flesch_reading_ease_score
def test_flesch_reading_ease_score() -> None:
null_metrics: List[float] = [
flesch_... | 0.866839 | 0.673302 |
import numpy as np
import pdb
import matplotlib.pyplot as plt
class SignalGeneration:
def RandomRegressionCoefficientGenerator(self,noOfPowers = None):
coefficientsList = np.array([])
coefficientsList = np.append(coefficientsList,np.random.random())
if noOfPowers is None:
noOfPowers = np.random... | FaultyMachineSystem/PlantModel.py | import numpy as np
import pdb
import matplotlib.pyplot as plt
class SignalGeneration:
def RandomRegressionCoefficientGenerator(self,noOfPowers = None):
coefficientsList = np.array([])
coefficientsList = np.append(coefficientsList,np.random.random())
if noOfPowers is None:
noOfPowers = np.random... | 0.141222 | 0.44734 |
import pytest
from django.template import Context
from django.test.utils import override_settings
from utils import TagTestCase
from analytical.templatetags.uservoice import UserVoiceNode
from analytical.utils import AnalyticalException
@override_settings(USERVOICE_WIDGET_KEY='<KEY>')
class UserVoiceTagTestCase(TagT... | tests/unit/test_tag_uservoice.py | import pytest
from django.template import Context
from django.test.utils import override_settings
from utils import TagTestCase
from analytical.templatetags.uservoice import UserVoiceNode
from analytical.utils import AnalyticalException
@override_settings(USERVOICE_WIDGET_KEY='<KEY>')
class UserVoiceTagTestCase(TagT... | 0.540196 | 0.478894 |
# pylint: disable=redefined-outer-name,too-few-public-methods,invalid-name
import os
import shutil
import pytest
import webtest as wt
from passaas.app import create_app
from passaas.config import TestConfig, Config
# These modules contain extra configuration for testing misconfigured apps and map to
# directories in... | tests/conftest.py | # pylint: disable=redefined-outer-name,too-few-public-methods,invalid-name
import os
import shutil
import pytest
import webtest as wt
from passaas.app import create_app
from passaas.config import TestConfig, Config
# These modules contain extra configuration for testing misconfigured apps and map to
# directories in... | 0.461017 | 0.165627 |
import logging
import datetime
import shutil
import tempfile
from pathlib import Path
import re
import aiohttp
import ai_training as ait
import ai_training.training_process as aitp
from embedding.text_classifier_class import EmbeddingComparison
from embedding.word2vec_client import Word2VecClient
from embedding.enti... | src/embedding/training_process.py | import logging
import datetime
import shutil
import tempfile
from pathlib import Path
import re
import aiohttp
import ai_training as ait
import ai_training.training_process as aitp
from embedding.text_classifier_class import EmbeddingComparison
from embedding.word2vec_client import Word2VecClient
from embedding.enti... | 0.545891 | 0.124905 |
from __future__ import print_function
import os
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from regression.feature_utils.base_feature_test import BaseFeatureTest
from regression.python_test_utils ... | pgAdmin/feature_tests/pg_utilities_backup_restore_test.py |
from __future__ import print_function
import os
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from regression.feature_utils.base_feature_test import BaseFeatureTest
from regression.python_test_utils ... | 0.398875 | 0.169406 |
import time
from beerDatabase import *
from brewDatabase import *
def homePage():
print("\033[1;35;49m-----------------------------------------")
print("--- \U0001F37B \033[1;37;49m Welcome to Nikki's Brewery \U0001F37B \033[1;35;49m---")
print("-----------------------------------------")
print("\033[0... | homePages.py | import time
from beerDatabase import *
from brewDatabase import *
def homePage():
print("\033[1;35;49m-----------------------------------------")
print("--- \U0001F37B \033[1;37;49m Welcome to Nikki's Brewery \U0001F37B \033[1;35;49m---")
print("-----------------------------------------")
print("\033[0... | 0.140897 | 0.100481 |
# 首先写系统内置模块
import sys
import os
from datetime import datetime, timedelta, time, date
import copy
import traceback
import numpy as np
from collections import OrderedDict
import csv
# 然后是自己编写的模块
from vnpy.trader.utility import round_to
from vnpy.app.cta_strategy_pro.template import (CtaProFutureTemplate, ... | vnpy/app/cta_strategy_pro/strategies/strategy_DualThrust_Future_S2.py |
# 首先写系统内置模块
import sys
import os
from datetime import datetime, timedelta, time, date
import copy
import traceback
import numpy as np
from collections import OrderedDict
import csv
# 然后是自己编写的模块
from vnpy.trader.utility import round_to
from vnpy.app.cta_strategy_pro.template import (CtaProFutureTemplate, ... | 0.206174 | 0.109658 |
from src.data.musdb_amss_dataset.abstract import MUSDB_AMSS_Training_Dataset, MUSDB_AMSS_Validation_Dataset
from src.data.musdb_amss_dataset.musdb_amss_definitions import musdb_amss_config
class task2_config:
training_amss_set = musdb_amss_config.amss_mute + \
musdb_amss_config.amss_separa... | src/data/musdb_amss_dataset/amss_task2_datasets.py | from src.data.musdb_amss_dataset.abstract import MUSDB_AMSS_Training_Dataset, MUSDB_AMSS_Validation_Dataset
from src.data.musdb_amss_dataset.musdb_amss_definitions import musdb_amss_config
class task2_config:
training_amss_set = musdb_amss_config.amss_mute + \
musdb_amss_config.amss_separa... | 0.494629 | 0.198899 |
__author__ = 'riko'
import unittest
import ranking_systems as rs
class TestRating(unittest.TestCase):
'''
Test cases for class Rating.
'''
def test_get_sigma(self):
'''
Tests get_sigma method. It indirectly tests methods __init__ and update.
:return: void.
'''
... | ranking_systems/tests/test_modified_glicko_ranking.py | __author__ = 'riko'
import unittest
import ranking_systems as rs
class TestRating(unittest.TestCase):
'''
Test cases for class Rating.
'''
def test_get_sigma(self):
'''
Tests get_sigma method. It indirectly tests methods __init__ and update.
:return: void.
'''
... | 0.771672 | 0.559952 |
from typing import Any, Callable, List, Mapping, Optional
from snorkel.preprocess import BasePreprocessor
from snorkel.types import DataPoint
class LabelingFunction:
"""Base class for labeling functions.
A labeling function (LF) is a function that takes a data point
as input and produces an integer labe... | snorkel/labeling/lf/core.py | from typing import Any, Callable, List, Mapping, Optional
from snorkel.preprocess import BasePreprocessor
from snorkel.types import DataPoint
class LabelingFunction:
"""Base class for labeling functions.
A labeling function (LF) is a function that takes a data point
as input and produces an integer labe... | 0.936836 | 0.61315 |
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DatasetModel'... | hydra_datastore/migrations/0001_initial.py |
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='DatasetModel'... | 0.505127 | 0.156846 |
import json
import os
from glob import glob
import torch
from torch.utils import data
from ..dataset import Dataset
# TODO (John): Rewrite this to use googledrivedownloader
def load_wikihop(directory, masked=False):
"""Loads the Wiki- or MedHop dataset given at `directory`.
Loads the Wiki- or MedHop datas... | src/utils/dataset_utils.py | import json
import os
from glob import glob
import torch
from torch.utils import data
from ..dataset import Dataset
# TODO (John): Rewrite this to use googledrivedownloader
def load_wikihop(directory, masked=False):
"""Loads the Wiki- or MedHop dataset given at `directory`.
Loads the Wiki- or MedHop datas... | 0.722331 | 0.621369 |
from __future__ import absolute_import, unicode_literals
import pytest
import pytz
import uuid
from datetime import datetime, timedelta
from celery.contrib.pytest import (celery_app, celery_enable_logging,
celery_parameters, depends_on_current_app,
... | tests/unit/conftest.py | from __future__ import absolute_import, unicode_literals
import pytest
import pytz
import uuid
from datetime import datetime, timedelta
from celery.contrib.pytest import (celery_app, celery_enable_logging,
celery_parameters, depends_on_current_app,
... | 0.463687 | 0.153042 |
import json
import os
import re
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, Iterable, Set
import peony
from peony import PeonyClient
from rin import Service, priv
from rin.config import twitter as cfg
from rin.typing import MessageSegment as ms
from . import... | rin/modules/twitter/stream/follow.py |
import json
import os
import re
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, Iterable, Set
import peony
from peony import PeonyClient
from rin import Service, priv
from rin.config import twitter as cfg
from rin.typing import MessageSegment as ms
from . import... | 0.431944 | 0.087291 |
import csv
import io
import json
import os
import re
import zipfile
from enum import Enum
BASEDIR = os.path.dirname(os.path.realpath(__file__))
NAMES_ZIP = os.path.join(BASEDIR, "names.zip")
TOTALS_HTML = os.path.join(BASEDIR, "numberUSbirths.html")
OUTPUT_JSON = os.path.join(BASEDIR, "national-data.json")
FILENAM... | data-to-json.py |
import csv
import io
import json
import os
import re
import zipfile
from enum import Enum
BASEDIR = os.path.dirname(os.path.realpath(__file__))
NAMES_ZIP = os.path.join(BASEDIR, "names.zip")
TOTALS_HTML = os.path.join(BASEDIR, "numberUSbirths.html")
OUTPUT_JSON = os.path.join(BASEDIR, "national-data.json")
FILENAM... | 0.287368 | 0.17146 |
from builtins import object
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers
from rest_framework_json_api.relations import ResourceRelatedField
from rest_framework_json_api.serializers import ModelSerializer
from bluebottle.activities.models import Activity, Contribution
f... | bluebottle/activities/utils.py | from builtins import object
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers
from rest_framework_json_api.relations import ResourceRelatedField
from rest_framework_json_api.serializers import ModelSerializer
from bluebottle.activities.models import Activity, Contribution
f... | 0.700997 | 0.13707 |
# -----------------------------------
# # VISTAS
from vistas import vista_renameONEV1 as renameONE # importando la vista renombrar un solo archivo
# -----------------------------------
# CONTROLADOR
from controlador.control_principal import * # funcion leer rutas
# CLASE controlador para Renombrar un solo archivo... | controlador/control_renombrar_un_archivo.py |
# -----------------------------------
# # VISTAS
from vistas import vista_renameONEV1 as renameONE # importando la vista renombrar un solo archivo
# -----------------------------------
# CONTROLADOR
from controlador.control_principal import * # funcion leer rutas
# CLASE controlador para Renombrar un solo archivo... | 0.222785 | 0.139836 |
from __future__ import print_function
import sys
import os
import math
import pprint
import re
import doctest
import itertools
import collections
import logging
from collections import defaultdict
from functools import reduce
# create absolute mydir
mydir = os.path.abspath(os.path.dirname(__file__))
sys.path.append(o... | day7/day7p2.py | from __future__ import print_function
import sys
import os
import math
import pprint
import re
import doctest
import itertools
import collections
import logging
from collections import defaultdict
from functools import reduce
# create absolute mydir
mydir = os.path.abspath(os.path.dirname(__file__))
sys.path.append(o... | 0.129554 | 0.10026 |
"""Vehicles Routing Problem (VRP)."""
# [START import]
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp
# [END import]
# [START solution_printer]
def print_solution(manager, routing, solution):
"""Prints solution on console."""
print(f'Objective: {solutio... | ortools/constraint_solver/samples/vrp_with_time_limit.py | """Vehicles Routing Problem (VRP)."""
# [START import]
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp
# [END import]
# [START solution_printer]
def print_solution(manager, routing, solution):
"""Prints solution on console."""
print(f'Objective: {solutio... | 0.791459 | 0.492981 |
import http
from brunns.builder import Builder, a_boolean, a_string, an_integer, one_of
from brunns.builder.email import EmailAddressBuilder
from brunns.builder.internet import UrlBuilder
from mbtest.imposters import (
Copy,
Imposter,
InjectionResponse,
Key,
Lookup,
Predicate,
Proxy,
R... | tests/utils/builders.py | import http
from brunns.builder import Builder, a_boolean, a_string, an_integer, one_of
from brunns.builder.email import EmailAddressBuilder
from brunns.builder.internet import UrlBuilder
from mbtest.imposters import (
Copy,
Imposter,
InjectionResponse,
Key,
Lookup,
Predicate,
Proxy,
R... | 0.606382 | 0.313893 |
import datetime
import json
import unittest
import webapp2
import webtest
import endpoints
from protorpc import protojson
from appengine_module.trooper_o_matic import controller
from appengine_module.trooper_o_matic import cron
from appengine_module.trooper_o_matic import models
from appengine_module.trooper_o_matic... | appengine/trooper_o_matic/appengine_module/trooper_o_matic/test/trooper_o_api_test.py |
import datetime
import json
import unittest
import webapp2
import webtest
import endpoints
from protorpc import protojson
from appengine_module.trooper_o_matic import controller
from appengine_module.trooper_o_matic import cron
from appengine_module.trooper_o_matic import models
from appengine_module.trooper_o_matic... | 0.411466 | 0.132824 |
from datetime import datetime
from tagging.fields import TagField
from django.db import models
from django.contrib.auth.models import User
from bluechannel.media.models import Media
from bluechannel.categories.models import Category
from django.utils.translation import ugettext_lazy as _
# Published Event Manager
clas... | bluechannel/blog/models.py | from datetime import datetime
from tagging.fields import TagField
from django.db import models
from django.contrib.auth.models import User
from bluechannel.media.models import Media
from bluechannel.categories.models import Category
from django.utils.translation import ugettext_lazy as _
# Published Event Manager
clas... | 0.540681 | 0.08292 |
from asyncio import coroutine
from . import exceptions
from . import templatenodes as nodes
from . import environment
from . import interpolatedstr
from . import expression
from .platform import bs4
from .utils import delayedupdater
class RenderFactory:
AVAILABLE = {}
@classmethod
def register(cls, Node... | src/brython_jinja2/rendernodes.py |
from asyncio import coroutine
from . import exceptions
from . import templatenodes as nodes
from . import environment
from . import interpolatedstr
from . import expression
from .platform import bs4
from .utils import delayedupdater
class RenderFactory:
AVAILABLE = {}
@classmethod
def register(cls, Node... | 0.436982 | 0.147095 |
import os
import discord
from dotenv import load_dotenv
import datetime
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
GUILD = os.getenv('DISCORD_GUILD_NAME')
bot = discord.Client()
@bot.event
async def on_ready():
for guild in bot.guilds:
if guild.name == GUILD:
break
print("OK")
@bot... | bot.py | import os
import discord
from dotenv import load_dotenv
import datetime
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
GUILD = os.getenv('DISCORD_GUILD_NAME')
bot = discord.Client()
@bot.event
async def on_ready():
for guild in bot.guilds:
if guild.name == GUILD:
break
print("OK")
@bot... | 0.113162 | 0.146362 |
class Node:
def __init__(self, left=None, right=None, val):
self.val = val
self.left = left
self.right = right
self.height = 1
# Balance factor to determine whether rotation is needed: rightHeight - leftHeight
self.bf = 0
class AVLTree:
def __init__(self):
... | algorithms/practice/AVLTree.py |
class Node:
def __init__(self, left=None, right=None, val):
self.val = val
self.left = left
self.right = right
self.height = 1
# Balance factor to determine whether rotation is needed: rightHeight - leftHeight
self.bf = 0
class AVLTree:
def __init__(self):
... | 0.779028 | 0.384594 |
from typing import Iterable, List, Tuple, cast, Optional
import numpy as np
from cirq import ops, extension
from cirq.circuits.circuit import Circuit
from cirq.circuits.optimization_pass import (
PointOptimizationSummary,
PointOptimizer,
)
class MergeSingleQubitGates(PointOptimizer):
"""Combines adjacen... | cirq/circuits/merge_single_qubit_gates.py | from typing import Iterable, List, Tuple, cast, Optional
import numpy as np
from cirq import ops, extension
from cirq.circuits.circuit import Circuit
from cirq.circuits.optimization_pass import (
PointOptimizationSummary,
PointOptimizer,
)
class MergeSingleQubitGates(PointOptimizer):
"""Combines adjacen... | 0.948692 | 0.494751 |
from __future__ import division
from __future__ import absolute_import
import os
import random
import fnmatch
import numpy as np
from PIL import Image
from scipy import misc
from glob import glob
import skimage.transform
def deprocess(x):
# [-1,1] -> [0, 1]
return (x+1.0)*0.5
def preprocess(x):
# [0,255] ... | utils/data_utils.py | from __future__ import division
from __future__ import absolute_import
import os
import random
import fnmatch
import numpy as np
from PIL import Image
from scipy import misc
from glob import glob
import skimage.transform
def deprocess(x):
# [-1,1] -> [0, 1]
return (x+1.0)*0.5
def preprocess(x):
# [0,255] ... | 0.304765 | 0.140071 |
import torch
import torch.nn as nn
from backbones.backbone_type import BackboneType
from backbones.resnet import ViewDense, resnet18
from efficientnet_pytorch import EfficientNet
class Reshape(nn.Module):
def __init__(self, *args):
super(Reshape, self).__init__()
self.shape = args
def forwar... | code/backbones/interface.py | import torch
import torch.nn as nn
from backbones.backbone_type import BackboneType
from backbones.resnet import ViewDense, resnet18
from efficientnet_pytorch import EfficientNet
class Reshape(nn.Module):
def __init__(self, *args):
super(Reshape, self).__init__()
self.shape = args
def forwar... | 0.9363 | 0.362236 |
from __future__ import annotations
import asyncio
from datetime import datetime
import json
import logging
import os
from pathlib import Path
import re
from typing import Any, Final
from aiohttp import ClientConnectorError, ClientError, ClientSession, TCPConnector
from hahomematic import config
from hahomematic.cons... | hahomematic/json_rpc_client.py | from __future__ import annotations
import asyncio
from datetime import datetime
import json
import logging
import os
from pathlib import Path
import re
from typing import Any, Final
from aiohttp import ClientConnectorError, ClientError, ClientSession, TCPConnector
from hahomematic import config
from hahomematic.cons... | 0.654122 | 0.075687 |
from . import FixtureTest
class NormalizePoiKind(FixtureTest):
def test_aeroway_gate(self):
# Node: Gate G102 (1096088604)
self.load_fixtures(['http://www.openstreetmap.org/node/1096088604'])
self.assert_has_feature(
16, 10487, 25366, 'pois',
{'id': 1096088604, 'ki... | integration-test/844-normalize-poi-kind.py | from . import FixtureTest
class NormalizePoiKind(FixtureTest):
def test_aeroway_gate(self):
# Node: Gate G102 (1096088604)
self.load_fixtures(['http://www.openstreetmap.org/node/1096088604'])
self.assert_has_feature(
16, 10487, 25366, 'pois',
{'id': 1096088604, 'ki... | 0.316158 | 0.386474 |
import argparse
from typing import Callable
import tensorflow as tf
import tensorflow_addons as tfa
from dataset import load, Split
from nfnet import NFNet, nfnet_params
NUM_CLASSES = 1000
NUM_IMAGES = 1281167
def parse_args():
"""Parse command line arguments."""
ap = argparse.ArgumentParser()
ap.add_... | train.py | import argparse
from typing import Callable
import tensorflow as tf
import tensorflow_addons as tfa
from dataset import load, Split
from nfnet import NFNet, nfnet_params
NUM_CLASSES = 1000
NUM_IMAGES = 1281167
def parse_args():
"""Parse command line arguments."""
ap = argparse.ArgumentParser()
ap.add_... | 0.915762 | 0.237079 |
import os
import discord
from dotenv import load_dotenv
import random
import pyfiglet
import requests
import re
import horny
from infocommand import *
import poker
load_dotenv()
TOKEN = os.getenv("DISCORD_TOKEN")
TARGET_SERVER_1 = os.getenv("TARGET_SERVER_1")
OUTPUT_CHANNEL_1 = os.getenv("OUTPUT_CHANNEL_1")
reading_... | smegbot.py | import os
import discord
from dotenv import load_dotenv
import random
import pyfiglet
import requests
import re
import horny
from infocommand import *
import poker
load_dotenv()
TOKEN = os.getenv("DISCORD_TOKEN")
TARGET_SERVER_1 = os.getenv("TARGET_SERVER_1")
OUTPUT_CHANNEL_1 = os.getenv("OUTPUT_CHANNEL_1")
reading_... | 0.176175 | 0.093719 |
import pygame
'''
Class created using code from https://www.pygame.org/wiki/IntersectingLineDetection
Mathematic explanation: https://www.mathopenref.com/coordintersection.html
'''
class CollisionUtility:
@staticmethod
def check_lander_collision_with_surface(lander, surface):
lander_... | CollisionUtility.py | import pygame
'''
Class created using code from https://www.pygame.org/wiki/IntersectingLineDetection
Mathematic explanation: https://www.mathopenref.com/coordintersection.html
'''
class CollisionUtility:
@staticmethod
def check_lander_collision_with_surface(lander, surface):
lander_... | 0.744192 | 0.562297 |
import os
import json
import numpy as np
import functools
import dataloader as dta
import models as mdl
import tensorflow as tf
import tensorflow_federated as tff
import datetime
from tensorboard.plugins.hparams import api as hp
import plots
import warnings
warnings.simplefilter('ignore')
class Algorithm(object):
... | experiments.py | import os
import json
import numpy as np
import functools
import dataloader as dta
import models as mdl
import tensorflow as tf
import tensorflow_federated as tff
import datetime
from tensorboard.plugins.hparams import api as hp
import plots
import warnings
warnings.simplefilter('ignore')
class Algorithm(object):
... | 0.794185 | 0.200969 |
import os
from mic import msger
from mic.utils import runner, misc
from mic.utils.errors import CreatorError
from mic.utils.fs_related import find_binary_path
from mic.imager.baseimager import BaseImageCreator
class FsImageCreator(BaseImageCreator):
def __init__(self, cfgmgr = None, pkgmgr = None):
self.... | hio-yocto-bsp/sources/poky/scripts/lib/mic/imager/fs.py |
import os
from mic import msger
from mic.utils import runner, misc
from mic.utils.errors import CreatorError
from mic.utils.fs_related import find_binary_path
from mic.imager.baseimager import BaseImageCreator
class FsImageCreator(BaseImageCreator):
def __init__(self, cfgmgr = None, pkgmgr = None):
self.... | 0.23926 | 0.079961 |
import torch
from ..utils import _log_api_usage_once
from .giou_loss import _upcast
def complete_box_iou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.Tensor:
"""
Gradient-friendly IoU loss with an additional penalty that is non-zero... | torchvision/ops/ciou_loss.py | import torch
from ..utils import _log_api_usage_once
from .giou_loss import _upcast
def complete_box_iou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.Tensor:
"""
Gradient-friendly IoU loss with an additional penalty that is non-zero... | 0.899177 | 0.799011 |
import asyncio
from async_generator import asynccontextmanager
import pytest
from trinity.tools.bcc_factories import (
AsyncBeaconChainDBFactory,
BeaconBlockFactory,
BeaconChainSyncerFactory,
ConnectionPairFactory,
)
@asynccontextmanager
async def get_sync_setup(request, event_loop, event_bus, alice... | tests/libp2p/bcc/test_syncing.py | import asyncio
from async_generator import asynccontextmanager
import pytest
from trinity.tools.bcc_factories import (
AsyncBeaconChainDBFactory,
BeaconBlockFactory,
BeaconChainSyncerFactory,
ConnectionPairFactory,
)
@asynccontextmanager
async def get_sync_setup(request, event_loop, event_bus, alice... | 0.571408 | 0.327547 |
import fixture
import unittest
from test_doubles import FeedGeneratorFactoryStub
from test_doubles import FeedGeneratorSpy
from test_doubles import TimeUtilStub
from test_doubles import ConsoleOutputterStub
from lib.render_path import RenderPath
from lib.rss_generator import RssGenerator
class RssGeneratorTest(unittes... | tests/RssGeneratorTest.py | import fixture
import unittest
from test_doubles import FeedGeneratorFactoryStub
from test_doubles import FeedGeneratorSpy
from test_doubles import TimeUtilStub
from test_doubles import ConsoleOutputterStub
from lib.render_path import RenderPath
from lib.rss_generator import RssGenerator
class RssGeneratorTest(unittes... | 0.226869 | 0.264198 |
from __future__ import division, unicode_literals
from .. import config
def filterObsoletes(refs, replacedSpecs, ignoredSpecs, localShortname=None, localSpec=None):
# Remove any ignored or obsoleted specs
possibleSpecs = set(ref.spec for ref in refs)
if localSpec:
possibleSpecs.add(localSpec)
... | bikeshed/refs/utils.py | from __future__ import division, unicode_literals
from .. import config
def filterObsoletes(refs, replacedSpecs, ignoredSpecs, localShortname=None, localSpec=None):
# Remove any ignored or obsoleted specs
possibleSpecs = set(ref.spec for ref in refs)
if localSpec:
possibleSpecs.add(localSpec)
... | 0.550124 | 0.248697 |
import unittest
import os
import json
import numpy as np
from moto import mock_s3
import rastervision as rv
from rastervision.data.label_source import ObjectDetectionGeoJSONSource
from rastervision.data.label_source.utils import (
add_classes_to_geojson, geojson_to_object_detection_labels)
from rastervision.data... | tests/data/label_source/test_object_detection_geojson_source.py | import unittest
import os
import json
import numpy as np
from moto import mock_s3
import rastervision as rv
from rastervision.data.label_source import ObjectDetectionGeoJSONSource
from rastervision.data.label_source.utils import (
add_classes_to_geojson, geojson_to_object_detection_labels)
from rastervision.data... | 0.549641 | 0.350699 |
import numpy as np
from sklearn.externals import joblib
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets
from torch.autograd import Variable
from sklearn.model_selection import train_test_split
from tensorboardX import SummaryWriter... | game2048/agent_voting.py | import numpy as np
from sklearn.externals import joblib
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets
from torch.autograd import Variable
from sklearn.model_selection import train_test_split
from tensorboardX import SummaryWriter... | 0.798698 | 0.230422 |
import numpy as np
from prssm.utils.utils import retrieve_config
def init_inducing_inputs(config_inducing_inputs, P, D, **kwargs):
"""
Initialize GP inducing inputs
:param method: string, any of 'kmeans', 'random', 'randomXpermutedU'
:param P: number of inducing inputs
:param D: dimensionality o... | prssm/utils/initialization.py | import numpy as np
from prssm.utils.utils import retrieve_config
def init_inducing_inputs(config_inducing_inputs, P, D, **kwargs):
"""
Initialize GP inducing inputs
:param method: string, any of 'kmeans', 'random', 'randomXpermutedU'
:param P: number of inducing inputs
:param D: dimensionality o... | 0.782621 | 0.683499 |
from abc import abstractmethod
from django.http.response import JsonResponse, \
DjangoJSONEncoder, \
HttpResponsePermanentRedirect, \
HttpResponseRedirect, \
HttpResponseGone
from django.urls.base import reverse
class FlashMessage:
def set_message(self, message):
self.request.session['mes... | kungfucms/apps/system/mixins.py |
from abc import abstractmethod
from django.http.response import JsonResponse, \
DjangoJSONEncoder, \
HttpResponsePermanentRedirect, \
HttpResponseRedirect, \
HttpResponseGone
from django.urls.base import reverse
class FlashMessage:
def set_message(self, message):
self.request.session['mes... | 0.554953 | 0.06486 |
import argparse
import numpy as np
import math
import os
import os.path as osp
from PIL import Image
parser = argparse.ArgumentParser(description="Calculates average PSNR for all pairs od images (*_hr.png and _sr)")
parser.add_argument("--input_folder_path", default="", type=str, help="path to folder with input image... | pytorch_toolkit/super_resolution/misc/eval.py |
import argparse
import numpy as np
import math
import os
import os.path as osp
from PIL import Image
parser = argparse.ArgumentParser(description="Calculates average PSNR for all pairs od images (*_hr.png and _sr)")
parser.add_argument("--input_folder_path", default="", type=str, help="path to folder with input image... | 0.338405 | 0.230335 |
import unittest
import random
from stup import packet
from stup.packet.packet import Packet
from stup import crypto
class PacketTest(unittest.TestCase):
def test_serialize_and_deserialize(self):
msg = Packet(b'foo')
self.assertEqual(msg.ver, 0)
self.assertEqual(msg.nonce, 0)
self.... | test/packet/test_packet.py |
import unittest
import random
from stup import packet
from stup.packet.packet import Packet
from stup import crypto
class PacketTest(unittest.TestCase):
def test_serialize_and_deserialize(self):
msg = Packet(b'foo')
self.assertEqual(msg.ver, 0)
self.assertEqual(msg.nonce, 0)
self.... | 0.521227 | 0.37014 |
import os
import sys
import re
from distutils.version import StrictVersion
try:
from fontTools import ttLib, version
from fontTools.ttLib.tables import S_V_G_
except ImportError:
print >> sys.stderr, "ERROR: FontTools Python module is not installed."
sys.exit(1)
# support for the SVG table was added to FontTools ... | previous_scripts/Setup_linux/source-code-pro/addSVGtable.py | import os
import sys
import re
from distutils.version import StrictVersion
try:
from fontTools import ttLib, version
from fontTools.ttLib.tables import S_V_G_
except ImportError:
print >> sys.stderr, "ERROR: FontTools Python module is not installed."
sys.exit(1)
# support for the SVG table was added to FontTools ... | 0.197058 | 0.109301 |
import os
import re
import urllib.parse
import discord
from discord.ext import commands
from assets import discord_funcs, internet_funcs
class WebSurf(commands.Cog, description='Fun commands using the Reddit API, and a few others.\n'
'Basically gets data from the internet.'):... | cogs/websurf.py | import os
import re
import urllib.parse
import discord
from discord.ext import commands
from assets import discord_funcs, internet_funcs
class WebSurf(commands.Cog, description='Fun commands using the Reddit API, and a few others.\n'
'Basically gets data from the internet.'):... | 0.443359 | 0.163846 |
from datetime import datetime
from typing import Dict, Iterable, Optional
from crowdin_api.api_resources.abstract.resources import BaseResource
from crowdin_api.api_resources.reports.enums import (
ContributionMode,
Currency,
Format,
GroupBy,
Unit,
)
from crowdin_api.api_resources.reports.types imp... | crowdin_api/api_resources/reports/resource.py | from datetime import datetime
from typing import Dict, Iterable, Optional
from crowdin_api.api_resources.abstract.resources import BaseResource
from crowdin_api.api_resources.reports.enums import (
ContributionMode,
Currency,
Format,
GroupBy,
Unit,
)
from crowdin_api.api_resources.reports.types imp... | 0.919552 | 0.302893 |
from __future__ import absolute_import, division, print_function
import math as _math
import random as _random
import sys as _sys
import time as _time
from copy import copy as _copy
from copy import deepcopy as _deepcopy
from random import randint as _randint
import numpy as np
from numpy import arange as _arange
cl... | src/chapter14/chapter14note.py | from __future__ import absolute_import, division, print_function
import math as _math
import random as _random
import sys as _sys
import time as _time
from copy import copy as _copy
from copy import deepcopy as _deepcopy
from random import randint as _randint
import numpy as np
from numpy import arange as _arange
cl... | 0.225417 | 0.599837 |
import pandas as pd
import time
import random
import numpy as np
import sys, os,pathlib
current_file_path = pathlib.Path(__file__).parent.absolute()
sys.path.insert(1,os.path.join(current_file_path,'build'))
from myBinds import Animal, GrassPatch, WolfSheep, space
class PARAMS:
steps = 1000
height=100
width=100
... | examples/wolf_sheep/Cppy/models.py | import pandas as pd
import time
import random
import numpy as np
import sys, os,pathlib
current_file_path = pathlib.Path(__file__).parent.absolute()
sys.path.insert(1,os.path.join(current_file_path,'build'))
from myBinds import Animal, GrassPatch, WolfSheep, space
class PARAMS:
steps = 1000
height=100
width=100
... | 0.150403 | 0.159675 |
from typing import List, Union
import numpy as np
from quara.loss_function.weighted_relative_entropy import (
WeightedRelativeEntropy,
WeightedRelativeEntropyOption,
)
from quara.math.entropy import (
relative_entropy_vector,
gradient_relative_entropy_2nd_vector,
)
from quara.math.probabil... | quara/loss_function/standard_qtomography_based_weighted_relative_entropy.py | from typing import List, Union
import numpy as np
from quara.loss_function.weighted_relative_entropy import (
WeightedRelativeEntropy,
WeightedRelativeEntropyOption,
)
from quara.math.entropy import (
relative_entropy_vector,
gradient_relative_entropy_2nd_vector,
)
from quara.math.probabil... | 0.951504 | 0.457561 |
import json
from termcolor import cprint
import numpy as np
from tabulate import tabulate
from time import time
from pathlib import Path
from evoflow import __version__ as evoflow_version
class Logger():
def __init__(self, system_info, backend):
self.system_info = system_info
self.ts = int(time())... | benchmark/benchmark/logger.py | import json
from termcolor import cprint
import numpy as np
from tabulate import tabulate
from time import time
from pathlib import Path
from evoflow import __version__ as evoflow_version
class Logger():
def __init__(self, system_info, backend):
self.system_info = system_info
self.ts = int(time())... | 0.292393 | 0.1532 |
import grpc
from controller.array_action import errors as array_errors
from controller.array_action.config import REPLICATION_DEFAULT_COPY_TYPE
from controller.array_action.storage_agent import get_agent
from controller.common.csi_logger import get_stdout_logger
from controller.common.utils import set_current_thread_n... | controller/controller_server/addons_server.py | import grpc
from controller.array_action import errors as array_errors
from controller.array_action.config import REPLICATION_DEFAULT_COPY_TYPE
from controller.array_action.storage_agent import get_agent
from controller.common.csi_logger import get_stdout_logger
from controller.common.utils import set_current_thread_n... | 0.467575 | 0.10307 |
from openprocurement.tender.belowthreshold.utils import add_contract
from openprocurement.tender.core.validation import (
validate_patch_award_data,
validate_update_award_only_for_active_lots,
validate_update_award_in_not_allowed_status,
validate_update_award_with_accepted_complaint,
validate_operat... | src/openprocurement/tender/openua/views/award.py | from openprocurement.tender.belowthreshold.utils import add_contract
from openprocurement.tender.core.validation import (
validate_patch_award_data,
validate_update_award_only_for_active_lots,
validate_update_award_in_not_allowed_status,
validate_update_award_with_accepted_complaint,
validate_operat... | 0.412294 | 0.255393 |
import torch
import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
from pathlib import Path, PurePath
import sys
sys.path.insert(1,str(PurePath(Path.cwd()).parent))
sys.path.insert(1,str(PurePath(Path.cwd())))
from rdkit import Chem, DataStructs
from rdkit.Chem import AllChem
from NeuralGraph.mod... | examples/generate_nfp_cfp.py | import torch
import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
from pathlib import Path, PurePath
import sys
sys.path.insert(1,str(PurePath(Path.cwd()).parent))
sys.path.insert(1,str(PurePath(Path.cwd())))
from rdkit import Chem, DataStructs
from rdkit.Chem import AllChem
from NeuralGraph.mod... | 0.338296 | 0.224884 |
import asyncio
import difflib
import os
import random
import re
import string
import unicodedata
import urllib
from rich import print as rprint
import discord
import gtts
import humanize
from better_profanity import profanity
from discord.ext import commands
from discord.ext.commands import BucketType
import uwuify
fr... | src/extensions/text.py | import asyncio
import difflib
import os
import random
import re
import string
import unicodedata
import urllib
from rich import print as rprint
import discord
import gtts
import humanize
from better_profanity import profanity
from discord.ext import commands
from discord.ext.commands import BucketType
import uwuify
fr... | 0.444324 | 0.329446 |
import logging
from pathlib import Path
from typing import List
import yaml
import torch
from espnet_pytorch_library.batch_beam_search import BatchBeamSearch
from espnet_pytorch_library.beam_search import Hypothesis
from espnet_pytorch_library.e2e_asr_common import end_detect
class BatchBeamSearchOnlineSim(BatchB... | espnet_pytorch_library/batch_beam_search_online_sim.py |
import logging
from pathlib import Path
from typing import List
import yaml
import torch
from espnet_pytorch_library.batch_beam_search import BatchBeamSearch
from espnet_pytorch_library.beam_search import Hypothesis
from espnet_pytorch_library.e2e_asr_common import end_detect
class BatchBeamSearchOnlineSim(BatchB... | 0.811452 | 0.294 |
from fantastico.exceptions import FantasticoDbNotFoundError
from fantastico.mvc.models.model_filter import ModelFilter
from fantastico.mvc.models.model_filter_compound import ModelFilterAnd
from fantastico.oauth2.models.client_repository import ClientRepository
from fantastico.oauth2.models.clients import Client
from f... | fantastico/oauth2/models/tests/test_client_repository.py | from fantastico.exceptions import FantasticoDbNotFoundError
from fantastico.mvc.models.model_filter import ModelFilter
from fantastico.mvc.models.model_filter_compound import ModelFilterAnd
from fantastico.oauth2.models.client_repository import ClientRepository
from fantastico.oauth2.models.clients import Client
from f... | 0.723212 | 0.122839 |
import os
from flask import Flask
from github_webhook import Webhook
from worker import invoke
from github import Github
app = Flask(__name__)
webhook = Webhook(app, secret=os.environ.get('SECRET', 'youvebeenmade'))
g = Github(os.environ.get('GH_ACCESS_TOKEN', ''))
org = g.get_organization(os.environ.get('GH_ORGANIZAT... | main.py | import os
from flask import Flask
from github_webhook import Webhook
from worker import invoke
from github import Github
app = Flask(__name__)
webhook = Webhook(app, secret=os.environ.get('SECRET', 'youvebeenmade'))
g = Github(os.environ.get('GH_ACCESS_TOKEN', ''))
org = g.get_organization(os.environ.get('GH_ORGANIZAT... | 0.262842 | 0.101634 |
import discord
import secrets
import itertools
import random
import re
import os
from keepAlive import keep_alive
import requests
import json
client = discord.Client()
prefix = '&'
diceTypes = [4,6,8,10,12,20,100]
dnd5e_races = ["DragonBorn", "Dwarf", "Elf", "Gnome", "Half-Elf", "Halfing", "Half-Orc", "Human", "Tief... | main.py | import discord
import secrets
import itertools
import random
import re
import os
from keepAlive import keep_alive
import requests
import json
client = discord.Client()
prefix = '&'
diceTypes = [4,6,8,10,12,20,100]
dnd5e_races = ["DragonBorn", "Dwarf", "Elf", "Gnome", "Half-Elf", "Halfing", "Half-Orc", "Human", "Tief... | 0.209308 | 0.189765 |
import config
import json
import urllib.request, urllib.parse, urllib.error
import boto3
import botocore
import tempfile
import tarfile
import debian.arfile
import hashlib
import re
import sys
import os
def checksums(fname):
fh = open(fname, "rb")
md5 = hashlib.md5()
sha1 = hashlib.sha1()
sha256 = h... | s3apt.py | import config
import json
import urllib.request, urllib.parse, urllib.error
import boto3
import botocore
import tempfile
import tarfile
import debian.arfile
import hashlib
import re
import sys
import os
def checksums(fname):
fh = open(fname, "rb")
md5 = hashlib.md5()
sha1 = hashlib.sha1()
sha256 = h... | 0.2763 | 0.151247 |
from copy import deepcopy
import math
import random
import numpy as np
from frbpoppy.log import pprint
from frbpoppy.population import Population
from frbpoppy.rates import Rates, scale
class SurveyPopulation(Population):
"""Class to create a survey population of FRBs."""
def __init__(self, cosmic_pop, surv... | frbpoppy/survey_pop.py | from copy import deepcopy
import math
import random
import numpy as np
from frbpoppy.log import pprint
from frbpoppy.population import Population
from frbpoppy.rates import Rates, scale
class SurveyPopulation(Population):
"""Class to create a survey population of FRBs."""
def __init__(self, cosmic_pop, surv... | 0.829285 | 0.454835 |
import re
def subparser(subparsers):
"""Define the `kevlar localize` command-line interface."""
desc = """\
For each partition, compute the reference target sequence to use for
variant calling. NOTE: this command relies on the `bwa` program being in
the PATH environmental variable.
"""
... | kevlar/cli/localize.py |
import re
def subparser(subparsers):
"""Define the `kevlar localize` command-line interface."""
desc = """\
For each partition, compute the reference target sequence to use for
variant calling. NOTE: this command relies on the `bwa` program being in
the PATH environmental variable.
"""
... | 0.753104 | 0.259636 |
import cv2
import numpy as np
class ExtractImageWidget(object):
def __init__(self):
self.original_image = cv2.imread('plane.PNG')
# Resize image, remove if you want raw image size
self.original_image = cv2.resize(self.original_image, (640, 556))
self.clone = self.original_image.cop... | 55541966-crop-angled-section-of-image/crop_angled_section_of_image.py | import cv2
import numpy as np
class ExtractImageWidget(object):
def __init__(self):
self.original_image = cv2.imread('plane.PNG')
# Resize image, remove if you want raw image size
self.original_image = cv2.resize(self.original_image, (640, 556))
self.clone = self.original_image.cop... | 0.682256 | 0.487368 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import pyplot
from matplotlib.figure import figaspect
import time
import os
import random
import threading
plt.rcdefaults()
pyplot.locator_params(nbins=5)
class PlotGenerator:
lock = threading.Lock()
def __init__(self):
self.fig_n = ... | web/dist/src/utils.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import pyplot
from matplotlib.figure import figaspect
import time
import os
import random
import threading
plt.rcdefaults()
pyplot.locator_params(nbins=5)
class PlotGenerator:
lock = threading.Lock()
def __init__(self):
self.fig_n = ... | 0.585694 | 0.300733 |
from django.db import models, connection
from datetime import datetime
from time import strftime
from .managers import BuildManager, DailyBuildReportManager
# Create your models here.
class UnixTimestampField(models.DateTimeField):
"""UnixTimestampField: creates a DateTimeField that is represented on the
da... | build/models.py | from django.db import models, connection
from datetime import datetime
from time import strftime
from .managers import BuildManager, DailyBuildReportManager
# Create your models here.
class UnixTimestampField(models.DateTimeField):
"""UnixTimestampField: creates a DateTimeField that is represented on the
da... | 0.732305 | 0.19095 |
from os.path import dirname, realpath
import yaml
import requests
from requests.auth import HTTPBasicAuth
AGENT_HEADER = ('Mozilla/5.0 (X11; Linux x86_64; rv:31.0) '
'Gecko/20100101 Firefox/31.0 Iceweasel/31.8.0')
ACCEPT_HEADER = ('text/html,application/xhtml+xml,'
'application/xml;q=0... | url_tool/url_tool.py | from os.path import dirname, realpath
import yaml
import requests
from requests.auth import HTTPBasicAuth
AGENT_HEADER = ('Mozilla/5.0 (X11; Linux x86_64; rv:31.0) '
'Gecko/20100101 Firefox/31.0 Iceweasel/31.8.0')
ACCEPT_HEADER = ('text/html,application/xhtml+xml,'
'application/xml;q=0... | 0.327346 | 0.059428 |
__author__ = 'clarkmatthew'
from collections import OrderedDict
import os
from namespace import Namespace
from simplecli import get_dict_from_file
import json
from pprint import pformat
from shutil import copyfile
import difflib
class Config(Namespace):
'''
Intention of this class is to provide utilities a... | simplecli/config.py | __author__ = 'clarkmatthew'
from collections import OrderedDict
import os
from namespace import Namespace
from simplecli import get_dict_from_file
import json
from pprint import pformat
from shutil import copyfile
import difflib
class Config(Namespace):
'''
Intention of this class is to provide utilities a... | 0.349533 | 0.087603 |
import argparse
import random
from collections import Counter
VALIDTOKENS = list('0123456789+')
PLUSTOKEN = '+'
def generate_sequence(num_token):
"""
Genera una nuova sequenza come stringa, dove ogni elemento ha la stessa
probabilità di essere inserito
"""
return ''.join([token for n in range(... | 23_03_es2.py | import argparse
import random
from collections import Counter
VALIDTOKENS = list('0123456789+')
PLUSTOKEN = '+'
def generate_sequence(num_token):
"""
Genera una nuova sequenza come stringa, dove ogni elemento ha la stessa
probabilità di essere inserito
"""
return ''.join([token for n in range(... | 0.380759 | 0.245814 |
import unittest
from pprint import pprint
from vit.list_batcher import ListBatcher
DEFAULT_BATCH_FROM = list('abcdefghijklmnopqrstuvwxyz')
def default_batcher():
batch_to = []
return ListBatcher(DEFAULT_BATCH_FROM, batch_to), batch_to
class TestListBatcher(unittest.TestCase):
def test_batch_default_bat... | test/test_list_batcher.py | import unittest
from pprint import pprint
from vit.list_batcher import ListBatcher
DEFAULT_BATCH_FROM = list('abcdefghijklmnopqrstuvwxyz')
def default_batcher():
batch_to = []
return ListBatcher(DEFAULT_BATCH_FROM, batch_to), batch_to
class TestListBatcher(unittest.TestCase):
def test_batch_default_bat... | 0.596551 | 0.341473 |
import logging
from persiantools.jdatetime import JalaliDateTime
from persiantools import characters, digits
from decimal import Decimal
from django.template import Library
import datetime
from django.utils.text import slugify
register = Library()
logger = logging.getLogger(__name__)
def valid_numeric(arg):
if isin... | mathfilters/templatetags/mathfilters.py | import logging
from persiantools.jdatetime import JalaliDateTime
from persiantools import characters, digits
from decimal import Decimal
from django.template import Library
import datetime
from django.utils.text import slugify
register = Library()
logger = logging.getLogger(__name__)
def valid_numeric(arg):
if isin... | 0.451568 | 0.25911 |
import random
from user import User
from credentials import Credentials
def create_new_credential(page_name, username, account_password):
"""Function to create a new account and its credentials"""
new_credential = Credentials(page_name, username, account_password)
return new_credential
def save_new_crede... | run.py | import random
from user import User
from credentials import Credentials
def create_new_credential(page_name, username, account_password):
"""Function to create a new account and its credentials"""
new_credential = Credentials(page_name, username, account_password)
return new_credential
def save_new_crede... | 0.153517 | 0.088112 |
from __future__ import absolute_import, division, print_function
from polyaxon_client.exceptions import PolyaxonClientException
from polyaxon_client.logger import logger
from polyaxon_client.transport.retry_transport import RetryTransportMixin
from polyaxon_client.workers.periodic_worker import PeriodicWorker
class ... | polyaxon_client/transport/periodic_transport.py | from __future__ import absolute_import, division, print_function
from polyaxon_client.exceptions import PolyaxonClientException
from polyaxon_client.logger import logger
from polyaxon_client.transport.retry_transport import RetryTransportMixin
from polyaxon_client.workers.periodic_worker import PeriodicWorker
class ... | 0.863607 | 0.060808 |
## port to python by Li Jun
## http://groups.google.com/group/pythoncia
import os, sys
from ctypes import *
up = 2
def setlibpath(up):
import sys
path = os.path.normpath(os.path.split(os.path.realpath(__file__))[0] + "\.." * up)
if path not in sys.path:
sys.path.append(path)
... | pyharoo/haru/demo/link_annotation.py |
## port to python by Li Jun
## http://groups.google.com/group/pythoncia
import os, sys
from ctypes import *
up = 2
def setlibpath(up):
import sys
path = os.path.normpath(os.path.split(os.path.realpath(__file__))[0] + "\.." * up)
if path not in sys.path:
sys.path.append(path)
... | 0.199113 | 0.079246 |
from itertools import product
from functools import partial
from string import ascii_letters, digits, punctuation
from hypothesis import given, assume, settings
import hypothesis.strategies as st
import pytest
from rapidfuzz import fuzz, process, utils, string_metric
import random
from math import isclose
def levens... | tests/test_hypothesis.py | from itertools import product
from functools import partial
from string import ascii_letters, digits, punctuation
from hypothesis import given, assume, settings
import hypothesis.strategies as st
import pytest
from rapidfuzz import fuzz, process, utils, string_metric
import random
from math import isclose
def levens... | 0.624294 | 0.399167 |
import os
import tqdm
import torch
import importlib
import numpy as np
from trainers.base_trainer import BaseTrainer
from trainers.utils.loss_utils import *
from evaluation.evaluation_metrics import *
class Trainer(BaseTrainer):
def __init__(self, cfg, args):
self.cfg = cfg
self.args = args
... | trainers/rotation_trainer.py | import os
import tqdm
import torch
import importlib
import numpy as np
from trainers.base_trainer import BaseTrainer
from trainers.utils.loss_utils import *
from evaluation.evaluation_metrics import *
class Trainer(BaseTrainer):
def __init__(self, cfg, args):
self.cfg = cfg
self.args = args
... | 0.686475 | 0.116362 |