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 ..Framework.SuperResolution import SuperResolution
from ..Arch.Residual import msrb
import tensorflow as tf
def _normalize(inputs):
rgb_mean = (0.4488, 0.4371, 0.4040)
return inputs / 255 - rgb_mean
def _denormalize(inputs):
rgb_mean = (0.4488, 0.4371, 0.4040)
return (inputs + rgb_mean) * 255
... | VLLV/Models/Msrn.py | from ..Framework.SuperResolution import SuperResolution
from ..Arch.Residual import msrb
import tensorflow as tf
def _normalize(inputs):
rgb_mean = (0.4488, 0.4371, 0.4040)
return inputs / 255 - rgb_mean
def _denormalize(inputs):
rgb_mean = (0.4488, 0.4371, 0.4040)
return (inputs + rgb_mean) * 255
... | 0.75401 | 0.224331 |
import sys
from .node import Node
from .Fila import Queue
class RB_Tree:
def __init__(self):
self.TNULL = Node(0)
self.TNULL.color = 0
self.TNULL.left = None
self.TNULL.right = None
self.root = self.TNULL
def insert(self, key):
node = Node(key)
node.p... | AVL/Rubro_Negra_Tree/RB_Tree.py | import sys
from .node import Node
from .Fila import Queue
class RB_Tree:
def __init__(self):
self.TNULL = Node(0)
self.TNULL.color = 0
self.TNULL.left = None
self.TNULL.right = None
self.root = self.TNULL
def insert(self, key):
node = Node(key)
node.p... | 0.325735 | 0.34443 |
import os
from textwrap import dedent
envs = {
"api_token": os.getenv("TELEGRAM_API_TOKEN"),
"devs": os.getenv("LOG_RECIPIENTS", "").split(","),
"asap_freq": int(os.getenv("ASAP_UPDATE_FREQ", 5 * 60)),
"pkl_location": os.getenv("BOT_DATA", ".")
}
strings = {
"welcome": dedent("""\
Welcome... | localconfig.py | import os
from textwrap import dedent
envs = {
"api_token": os.getenv("TELEGRAM_API_TOKEN"),
"devs": os.getenv("LOG_RECIPIENTS", "").split(","),
"asap_freq": int(os.getenv("ASAP_UPDATE_FREQ", 5 * 60)),
"pkl_location": os.getenv("BOT_DATA", ".")
}
strings = {
"welcome": dedent("""\
Welcome... | 0.378689 | 0.279945 |
## Imports
from __future__ import annotations
from abc import ABC, abstractmethod
from enum import IntEnum, auto
from typing import Any, TextIO
## Classes
class NodeBase(ABC):
"""AST Base Node"""
# -Instance Methods
@abstractmethod
def compile(self, file: TextIO) -> None:
'''Compile the ... | ember/frontend/node.py |
## Imports
from __future__ import annotations
from abc import ABC, abstractmethod
from enum import IntEnum, auto
from typing import Any, TextIO
## Classes
class NodeBase(ABC):
"""AST Base Node"""
# -Instance Methods
@abstractmethod
def compile(self, file: TextIO) -> None:
'''Compile the ... | 0.772659 | 0.227126 |
from typing import List
from tqdm.auto import tqdm
from nemo.collections.asr.models.ctc_models import EncDecCTCModel
from nemo.utils import logging
def transcribe_partial_audio(
asr_model,
path2manifest: str,
batch_size: int = 4,
logprobs: bool = False,
return_hypotheses: bool = False,
num_w... | nemo/collections/asr/parts/utils/transcribe_utils.py | from typing import List
from tqdm.auto import tqdm
from nemo.collections.asr.models.ctc_models import EncDecCTCModel
from nemo.utils import logging
def transcribe_partial_audio(
asr_model,
path2manifest: str,
batch_size: int = 4,
logprobs: bool = False,
return_hypotheses: bool = False,
num_w... | 0.857768 | 0.396769 |
from typing import Dict
import numpy as np
import scipy
import tensorflow as tf
from core import BaseDataSource, BaseModel
from datasources import UnityEyes
import util.gaze
class DPG(BaseModel):
"""Deep Pictorial Gaze architecture as introduced in [Park et al. ECCV'18]."""
def __init__(self, tensorflow_se... | src/models/dpg.py | from typing import Dict
import numpy as np
import scipy
import tensorflow as tf
from core import BaseDataSource, BaseModel
from datasources import UnityEyes
import util.gaze
class DPG(BaseModel):
"""Deep Pictorial Gaze architecture as introduced in [Park et al. ECCV'18]."""
def __init__(self, tensorflow_se... | 0.868465 | 0.278863 |
import pprint
import re # noqa: F401
import six
class PerOperationLimitConstantResponse(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attrib... | tmapi/models/per_operation_limit_constant_response.py | import pprint
import re # noqa: F401
import six
class PerOperationLimitConstantResponse(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attrib... | 0.822011 | 0.090414 |
import numpy as np
import pyarrow
from katana import (
OrderedByIntegerMetric,
UserContext,
do_all,
do_all_operator,
for_each,
for_each_operator,
obim_metric,
set_active_threads,
)
from katana.local import Graph, ReduceMax, ReduceSum, atomic_min
from katana.local.datastructures import I... | python/test/lonestar/sssp.py | import numpy as np
import pyarrow
from katana import (
OrderedByIntegerMetric,
UserContext,
do_all,
do_all_operator,
for_each,
for_each_operator,
obim_metric,
set_active_threads,
)
from katana.local import Graph, ReduceMax, ReduceSum, atomic_min
from katana.local.datastructures import I... | 0.233095 | 0.333639 |
from dataclasses import dataclass
from pants.backend.python.target_types import PythonSourceField
from pants.backend.python.util_rules.interpreter_constraints import InterpreterConstraints
from pants.backend.python.util_rules.pex_environment import PythonExecutable
from pants.core.util_rules.source_files import Sourc... | src/python/pants/backend/python/dependency_inference/import_parser.py |
from dataclasses import dataclass
from pants.backend.python.target_types import PythonSourceField
from pants.backend.python.util_rules.interpreter_constraints import InterpreterConstraints
from pants.backend.python.util_rules.pex_environment import PythonExecutable
from pants.core.util_rules.source_files import Sourc... | 0.558809 | 0.175927 |
try:
from mock import MagicMock, patch
has_mock = True
except ImportError:
has_mock = False
patch = lambda x: lambda y: None
from saltunittest import TestCase, skipIf
from salt.modules import pip
pip.__salt__ = {"cmd.which_bin":lambda _:"pip"}
@skipIf(has_mock is False, "mock python module is unavail... | tests/unit/modules/pip_test.py | try:
from mock import MagicMock, patch
has_mock = True
except ImportError:
has_mock = False
patch = lambda x: lambda y: None
from saltunittest import TestCase, skipIf
from salt.modules import pip
pip.__salt__ = {"cmd.which_bin":lambda _:"pip"}
@skipIf(has_mock is False, "mock python module is unavail... | 0.518059 | 0.159414 |
from alerta.models.alert import Alert
from alerta.webhooks import WebhookBase
import json
class AzureMonitorWebhook(WebhookBase):
def incoming(self, query_string, payload):
# Environment is not avaible in the payload, use request param.
try:
environment = query_string['enviro... | webhooks/azuremonitor/alerta_azuremonitor.py | from alerta.models.alert import Alert
from alerta.webhooks import WebhookBase
import json
class AzureMonitorWebhook(WebhookBase):
def incoming(self, query_string, payload):
# Environment is not avaible in the payload, use request param.
try:
environment = query_string['enviro... | 0.317638 | 0.125199 |
import pytz
import json
from tzlocal import get_localzone
from datetime import datetime, timedelta
from django.core import serializers
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from orchestrator.models import *
def redirect_overview(request):
return re... | automation_orchestrator/dashboard/views.py | import pytz
import json
from tzlocal import get_localzone
from datetime import datetime, timedelta
from django.core import serializers
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from orchestrator.models import *
def redirect_overview(request):
return re... | 0.375134 | 0.20951 |
import pytest
from os.path import join
from numpy import zeros, exp, pi, real, meshgrid, mean
from multiprocessing import cpu_count
from numpy.testing import assert_array_almost_equal
from SciDataTool import DataTime, VectorField, Data1D
import csv
import numpy as np
import matplotlib.pyplot as plt
from pyleecan.Clas... | Tests/Validation/Force/test_ForceTensor.py | import pytest
from os.path import join
from numpy import zeros, exp, pi, real, meshgrid, mean
from multiprocessing import cpu_count
from numpy.testing import assert_array_almost_equal
from SciDataTool import DataTime, VectorField, Data1D
import csv
import numpy as np
import matplotlib.pyplot as plt
from pyleecan.Clas... | 0.588534 | 0.55652 |
"""Client used or interacting with our language identification api"""
import json
from .generic_api_client import GenericApiClient
from .models import LanguageIdentificationJob, LanguageIdentificationResult
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
class Language... | src/rev_ai/language_identification_client.py | """Client used or interacting with our language identification api"""
import json
from .generic_api_client import GenericApiClient
from .models import LanguageIdentificationJob, LanguageIdentificationResult
try:
from urllib.parse import urljoin
except ImportError:
from urlparse import urljoin
class Language... | 0.881398 | 0.136292 |
import time
import unittest
from hashlib import sha1, sha256 as sha2
from rnglib import SimpleRNG
from xlcrypto import XLFilterError
from xlcrypto.filters import CountingBloom, KeySelector
RNG = SimpleRNG(time.time())
class TestCountingBloom(unittest.TestCase):
""" Exercise the CountingBloom filter. """
de... | tests/test_counting_bloom.py | import time
import unittest
from hashlib import sha1, sha256 as sha2
from rnglib import SimpleRNG
from xlcrypto import XLFilterError
from xlcrypto.filters import CountingBloom, KeySelector
RNG = SimpleRNG(time.time())
class TestCountingBloom(unittest.TestCase):
""" Exercise the CountingBloom filter. """
de... | 0.36659 | 0.474388 |
import threading
from datetime import datetime
from azure.iot.device import IoTHubModuleClient
import json
import logging
class ListenThread(threading.Thread):
def __init__(self, infer_cache):
super().__init__()
self.infer_cache = infer_cache
self.daemon = True
self.module_client = ... | deploy/edge/http-cpu/app/listen_thread.py | import threading
from datetime import datetime
from azure.iot.device import IoTHubModuleClient
import json
import logging
class ListenThread(threading.Thread):
def __init__(self, infer_cache):
super().__init__()
self.infer_cache = infer_cache
self.daemon = True
self.module_client = ... | 0.354992 | 0.110208 |
import os
import numpy as np
from .base_dataset import BaseDataset
from ltr.data.image_loader import default_image_loader
import xml.etree.ElementTree as ET
import glob
import json
from collections import OrderedDict
import nltk
from nltk.corpus import wordnet
from ltr.admin.environment import env_settings
class Imag... | PaddleCV/tracking/ltr/dataset/imagenetdet.py | import os
import numpy as np
from .base_dataset import BaseDataset
from ltr.data.image_loader import default_image_loader
import xml.etree.ElementTree as ET
import glob
import json
from collections import OrderedDict
import nltk
from nltk.corpus import wordnet
from ltr.admin.environment import env_settings
class Imag... | 0.618204 | 0.215021 |
import os
import pickle
import tqdm
import pandas as pd
from data_setting import *
def F1_score(detected_communities, ground_truth_communities):
precision = calculate_precision(detected_communities, ground_truth_communities)
recall = calculate_recall(detected_communities, ground_truth_communities)
if pre... | evaluate_community.py | import os
import pickle
import tqdm
import pandas as pd
from data_setting import *
def F1_score(detected_communities, ground_truth_communities):
precision = calculate_precision(detected_communities, ground_truth_communities)
recall = calculate_recall(detected_communities, ground_truth_communities)
if pre... | 0.341253 | 0.300771 |
import six
from ecl.tests.functional import base
class TestOperation(base.BaseFunctionalTest):
@classmethod
def setUpClass(cls):
super(TestOperation, cls).setUpClass()
mcics = list(cls.conn.connectivity.mcics())
cls.one_mcic = None
cls.one_operation = None
cls.one_c... | ecl/tests/functional/connectivity/v1/test_operation.py |
import six
from ecl.tests.functional import base
class TestOperation(base.BaseFunctionalTest):
@classmethod
def setUpClass(cls):
super(TestOperation, cls).setUpClass()
mcics = list(cls.conn.connectivity.mcics())
cls.one_mcic = None
cls.one_operation = None
cls.one_c... | 0.323166 | 0.317916 |
import chainer
import torch
from e2e_asr_attctc_th import torch_is_old
import lm_chainer
import lm_pytorch
def transfer_lstm(ch_lstm, th_lstm):
ch_lstm.upward.W.data[:] = 1
th_lstm.weight_ih.data[:] = torch.from_numpy(ch_lstm.upward.W.data)
ch_lstm.upward.b.data[:] = 1
th_lstm.bias_hh.data[:] = torch... | test/test_lm.py | import chainer
import torch
from e2e_asr_attctc_th import torch_is_old
import lm_chainer
import lm_pytorch
def transfer_lstm(ch_lstm, th_lstm):
ch_lstm.upward.W.data[:] = 1
th_lstm.weight_ih.data[:] = torch.from_numpy(ch_lstm.upward.W.data)
ch_lstm.upward.b.data[:] = 1
th_lstm.bias_hh.data[:] = torch... | 0.564219 | 0.454048 |
import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
import argparse
import glob
import re
from collections import OrderedDict
# Import global variables
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(SCRIPT_DIR))
from g... | train/plot_training_progress.py | import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
import os
import sys
import argparse
import glob
import re
from collections import OrderedDict
# Import global variables
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.dirname(SCRIPT_DIR))
from g... | 0.545044 | 0.371564 |
import argparse
import pylab as pl
import neurom as nm
from neurom.io.utils import get_morph_files
def parse_args():
'''Parse command line arguments'''
parser = argparse.ArgumentParser(description='Feature Comparison Between Different Cells')
parser.add_argument('-d',
'--datapath... | examples/features_graph_table.py | import argparse
import pylab as pl
import neurom as nm
from neurom.io.utils import get_morph_files
def parse_args():
'''Parse command line arguments'''
parser = argparse.ArgumentParser(description='Feature Comparison Between Different Cells')
parser.add_argument('-d',
'--datapath... | 0.705379 | 0.349366 |
import nltk
import argparse
import pickle
from collections import Counter
import string
import os
import os.path as osp
from data_utils import get_karpathy_split, get_refcoco_captions
from vocab import Vocabulary
def build_vocab(caption_list, threshold):
"""Build a simple vocabulary wrapper."""
vocab = Voca... | build_vocab.py | import nltk
import argparse
import pickle
from collections import Counter
import string
import os
import os.path as osp
from data_utils import get_karpathy_split, get_refcoco_captions
from vocab import Vocabulary
def build_vocab(caption_list, threshold):
"""Build a simple vocabulary wrapper."""
vocab = Voca... | 0.479747 | 0.166269 |
# Part of the PsychoPy library
# Copyright (C) 2002-2018 <NAME> (C) 2019-2021 Open Science Tools Ltd.
# Distributed under the terms of the GNU General Public License (GPL).
import os
import subprocess
import sys
import wx
from psychopy.app.colorpicker import PsychoColorPicker
from psychopy.app.dialogs import ListWi... | venv/Lib/site-packages/psychopy/app/builder/dialogs/paramCtrls.py |
# Part of the PsychoPy library
# Copyright (C) 2002-2018 <NAME> (C) 2019-2021 Open Science Tools Ltd.
# Distributed under the terms of the GNU General Public License (GPL).
import os
import subprocess
import sys
import wx
from psychopy.app.colorpicker import PsychoColorPicker
from psychopy.app.dialogs import ListWi... | 0.558688 | 0.110208 |
#--------------------
# System wide imports
# -------------------
from __future__ import generators # needs to be at the top of your module
import os
import os.path
import sys
import argparse
import sqlite3
import os
import os.path
import datetime as Datetime
# Access template withing the package
from pkg_res... | tdbtool/s4a.py |
#--------------------
# System wide imports
# -------------------
from __future__ import generators # needs to be at the top of your module
import os
import os.path
import sys
import argparse
import sqlite3
import os
import os.path
import datetime as Datetime
# Access template withing the package
from pkg_res... | 0.358915 | 0.10026 |
import re
from collections import namedtuple
from .utils import sort_callbacks
Message = namedtuple(
"Message",
"text attachments from_id peer_id date raw_update"
)
Message.__doc__ = """
Text message with possible attachments.
:param text: text message of update
:param attachments: tuple of instances of :... | kutana/plugin.py |
import re
from collections import namedtuple
from .utils import sort_callbacks
Message = namedtuple(
"Message",
"text attachments from_id peer_id date raw_update"
)
Message.__doc__ = """
Text message with possible attachments.
:param text: text message of update
:param attachments: tuple of instances of :... | 0.852414 | 0.214537 |
import json
import csv
import os
import sqlite3 as db
from openpyxl import Workbook
#mencari home direktori
def home():
"""cari alamat HOME"""
if os.name == 'nt':
try:
result = os.path.join(os.environ["HOMEPATH"], "My Documents")
except Exception:
result =... | absensi/output.py | import json
import csv
import os
import sqlite3 as db
from openpyxl import Workbook
#mencari home direktori
def home():
"""cari alamat HOME"""
if os.name == 'nt':
try:
result = os.path.join(os.environ["HOMEPATH"], "My Documents")
except Exception:
result =... | 0.105821 | 0.081228 |
import numpy as np
from .base_fitter import BaseFitter, reload_scans
from .results import FitResult, FitResultSeries
from ..models import DefaultTrainedModel
from ..xrrloader import FioLoader, NotReflectivityScanError
class FioFitter(BaseFitter):
@property
def file_stem(self):
return self._file_name... | mlreflect/curve_fitter/fio_fitter.py | import numpy as np
from .base_fitter import BaseFitter, reload_scans
from .results import FitResult, FitResultSeries
from ..models import DefaultTrainedModel
from ..xrrloader import FioLoader, NotReflectivityScanError
class FioFitter(BaseFitter):
@property
def file_stem(self):
return self._file_name... | 0.872761 | 0.527012 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import io
import os
import urllib
import zipfile
import numpy as np
import pandas
from sklearn import preprocessing
def load_synthetic_data(data_name, dict_no, seed=0):
"""Generates synthetic datasets.
T... | rllim/data_loading.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import io
import os
import urllib
import zipfile
import numpy as np
import pandas
from sklearn import preprocessing
def load_synthetic_data(data_name, dict_no, seed=0):
"""Generates synthetic datasets.
T... | 0.727007 | 0.394434 |
from __future__ import absolute_import as _
import os
import re
import datetime
from inquirer import prompt, Text, List, Checkbox
from .config import get_config_file
from .licenses import LICENSES
from .classifiers import PLATFORMS
from .changelog import get_changelog_content
from .manifest import get_manifest_content... | pystart/cmd.py | from __future__ import absolute_import as _
import os
import re
import datetime
from inquirer import prompt, Text, List, Checkbox
from .config import get_config_file
from .licenses import LICENSES
from .classifiers import PLATFORMS
from .changelog import get_changelog_content
from .manifest import get_manifest_content... | 0.443841 | 0.056783 |
load(
"//configs/dependency-tracking:ubuntu1604.bzl",
BAZEL_LATEST = "bazel",
)
load(
"//rules/rbe_repo:build_gen.bzl",
"create_alias_platform",
"create_config_aliases",
"create_export_platform",
"create_external_repo_platform",
"create_java_runtime",
)
load(
"//rules/rbe_repo:checke... | rules/rbe_repo.bzl | load(
"//configs/dependency-tracking:ubuntu1604.bzl",
BAZEL_LATEST = "bazel",
)
load(
"//rules/rbe_repo:build_gen.bzl",
"create_alias_platform",
"create_config_aliases",
"create_export_platform",
"create_external_repo_platform",
"create_java_runtime",
)
load(
"//rules/rbe_repo:checke... | 0.40439 | 0.12932 |
import unittest
import unicodedata
from cltk.corpus.middle_high_german.alphabet import normalize_middle_high_german
from cltk.stem.middle_high_german.stem import stemmer_middle_high_german as middle_high_german_stemmer
from cltk.stop.middle_high_german.stops import STOPS_LIST as MIDDLE_HIGH_GERMAN_STOPS
from cltk.pho... | cltk/tests/test_test_middle_high_german.py |
import unittest
import unicodedata
from cltk.corpus.middle_high_german.alphabet import normalize_middle_high_german
from cltk.stem.middle_high_german.stem import stemmer_middle_high_german as middle_high_german_stemmer
from cltk.stop.middle_high_german.stops import STOPS_LIST as MIDDLE_HIGH_GERMAN_STOPS
from cltk.pho... | 0.530966 | 0.377426 |
from osgeo import gdal
import rasterio
from affine import Affine
import numpy as np
import logging
from ..utils.raster import reorder_axes
from ..utils.log import _get_logging_level
import os
def get_geo_transform(raster_src):
"""Get the geotransform for a raster image source.
Arguments
---------
ras... | solaris/raster/image.py | from osgeo import gdal
import rasterio
from affine import Affine
import numpy as np
import logging
from ..utils.raster import reorder_axes
from ..utils.log import _get_logging_level
import os
def get_geo_transform(raster_src):
"""Get the geotransform for a raster image source.
Arguments
---------
ras... | 0.86342 | 0.534916 |
import sys
from subprocess import Popen
PORT = 7531
if sys.version_info[0] < 3: # python 2
import BaseHTTPServer
import urlparse
class CompatibilityMixin:
def send_body(self, msg):
self.wfile.write(msg+'\n')
self.wfile.close()
else: # python 3
import http.server as B... | play_with_mpv.py |
import sys
from subprocess import Popen
PORT = 7531
if sys.version_info[0] < 3: # python 2
import BaseHTTPServer
import urlparse
class CompatibilityMixin:
def send_body(self, msg):
self.wfile.write(msg+'\n')
self.wfile.close()
else: # python 3
import http.server as B... | 0.186539 | 0.051797 |
import pytest
import numpy as np
from . import variables
from .variables import wrap_arg
def test_softmax_categorical_deterministic() -> None:
token = variables.SoftmaxCategorical(["blu", "blublu", "blublublu"], deterministic=True)
assert token.data_to_arguments([1, 1, 1.01], deterministic=False) == wrap_arg... | nevergrad/instrumentation/test_variables.py |
import pytest
import numpy as np
from . import variables
from .variables import wrap_arg
def test_softmax_categorical_deterministic() -> None:
token = variables.SoftmaxCategorical(["blu", "blublu", "blublublu"], deterministic=True)
assert token.data_to_arguments([1, 1, 1.01], deterministic=False) == wrap_arg... | 0.7324 | 0.708414 |
from telemetry.value import scalar
from metrics import memory
from metrics import Metric
class SystemMemoryMetric(Metric):
"""SystemMemoryMetric gathers system memory statistic.
This metric collects system memory stats per test. It reports the difference
(delta) in system memory starts from the start of the... | tools/perf/metrics/system_memory.py |
from telemetry.value import scalar
from metrics import memory
from metrics import Metric
class SystemMemoryMetric(Metric):
"""SystemMemoryMetric gathers system memory statistic.
This metric collects system memory stats per test. It reports the difference
(delta) in system memory starts from the start of the... | 0.93086 | 0.516656 |
import numpy as np
from numpy.testing import assert_allclose
import openpnm as op
class TransientFickianDiffusionTest:
def setup_class(self):
np.random.seed(0)
self.net = op.network.Cubic(shape=[4, 3, 1], spacing=1.0)
self.geo = op.geometry.GenericGeometry(network=self.net,
... | tests/unit/algorithms/TransientFickianDiffusionTest.py | import numpy as np
from numpy.testing import assert_allclose
import openpnm as op
class TransientFickianDiffusionTest:
def setup_class(self):
np.random.seed(0)
self.net = op.network.Cubic(shape=[4, 3, 1], spacing=1.0)
self.geo = op.geometry.GenericGeometry(network=self.net,
... | 0.600774 | 0.478407 |
from . import util
IMAGES = {
# Used to build Flutter_Android in Debian9, since the underlying build
# scripts require jdk8.
'Debian9': (
'gcr.io/skia-public/debian9@sha256:'
'5541f5674eee0a1558f1335c711f674f85f96b9ae8fb6c289f42dd81479a768e'),
}
def compile_fn(api, checkout_root, out_dir)... | infra/bots/recipe_modules/build/flutter.py |
from . import util
IMAGES = {
# Used to build Flutter_Android in Debian9, since the underlying build
# scripts require jdk8.
'Debian9': (
'gcr.io/skia-public/debian9@sha256:'
'5541f5674eee0a1558f1335c711f674f85f96b9ae8fb6c289f42dd81479a768e'),
}
def compile_fn(api, checkout_root, out_dir)... | 0.381104 | 0.081739 |
import numpy as np
def pointless_sort(x):
"""
This function always returns the same values to show how testing
works, check out the `test/test_alg.py` file to see.
"""
return np.array([1,2,3])
def insertionsort(x):
"""
input: insertsion sort takes in a list or numpy array
output: retur... | scripts/algs.py | import numpy as np
def pointless_sort(x):
"""
This function always returns the same values to show how testing
works, check out the `test/test_alg.py` file to see.
"""
return np.array([1,2,3])
def insertionsort(x):
"""
input: insertsion sort takes in a list or numpy array
output: retur... | 0.542863 | 0.846514 |
import unittest
import numpy as np
from io import BytesIO
import h5py
from exetera.core import session
from exetera.core import fields
from exetera.core import dataframe
from exetera.core import persistence as per
from exetera.core import utils
from exetera.core import field_importers as fi
class TestCreateThenLoa... | tests/test_session.py | import unittest
import numpy as np
from io import BytesIO
import h5py
from exetera.core import session
from exetera.core import fields
from exetera.core import dataframe
from exetera.core import persistence as per
from exetera.core import utils
from exetera.core import field_importers as fi
class TestCreateThenLoa... | 0.524882 | 0.50769 |
import types
from googlecloudsdk.api_lib.test import arg_file
from googlecloudsdk.api_lib.test import arg_validate
from googlecloudsdk.calliope import arg_parsers
from googlecloudsdk.core import log
def AddCommonTestRunArgs(parser):
"""Register args which are common to all 'gcloud test run' commands.
Args:
... | google-cloud-sdk/.install/.backup/lib/googlecloudsdk/api_lib/test/arg_util.py | import types
from googlecloudsdk.api_lib.test import arg_file
from googlecloudsdk.api_lib.test import arg_validate
from googlecloudsdk.calliope import arg_parsers
from googlecloudsdk.core import log
def AddCommonTestRunArgs(parser):
"""Register args which are common to all 'gcloud test run' commands.
Args:
... | 0.606964 | 0.147832 |
import logging
from e2e.utils.cognito_bootstrap import common
from e2e.utils.aws.acm import AcmCertificate
from e2e.utils.aws.cognito import CustomDomainCognitoUserPool
from e2e.utils.aws.route53 import Route53HostedZone
from e2e.utils.utils import print_banner, load_yaml_file
from e2e.utils.load_balancer.lb_resources... | tests/e2e/utils/cognito_bootstrap/cognito_resources_cleanup.py | import logging
from e2e.utils.cognito_bootstrap import common
from e2e.utils.aws.acm import AcmCertificate
from e2e.utils.aws.cognito import CustomDomainCognitoUserPool
from e2e.utils.aws.route53 import Route53HostedZone
from e2e.utils.utils import print_banner, load_yaml_file
from e2e.utils.load_balancer.lb_resources... | 0.300643 | 0.08389 |
VERSION_PROCESSING = 3
VERSION_METADATA = 'beta'
VERSION = "0.4.1-{m}".format(m=VERSION_METADATA)
__author__ = "<NAME>"
__copyright__ = "Copyright 2017, The Regents of the University of California, through Lawrence Berkeley National Laboratory"
__credits__ = ["<NAME> <<EMAIL>>",
"<NAME> <<EMAIL>>",
... | oneflux/__init__.py | VERSION_PROCESSING = 3
VERSION_METADATA = 'beta'
VERSION = "0.4.1-{m}".format(m=VERSION_METADATA)
__author__ = "<NAME>"
__copyright__ = "Copyright 2017, The Regents of the University of California, through Lawrence Berkeley National Laboratory"
__credits__ = ["<NAME> <<EMAIL>>",
"<NAME> <<EMAIL>>",
... | 0.301156 | 0.070752 |
from PWGJE.EMCALJetTasks.Tracks.analysis.base.Graphics import TwoPanelPlot, GraphicsObject, Style, Frame
from PWGJE.EMCALJetTasks.Tracks.analysis.base.SpectrumFitter import SpectrumFitter
from PWGJE.EMCALJetTasks.Tracks.analysis.base.DataCollection import DataCollection, Datapoint
from copy import deepcopy
from ROOT im... | PWGJE/EMCALJetTasks/Tracks/analysis/plots/TrackYieldEventPlot.py | from PWGJE.EMCALJetTasks.Tracks.analysis.base.Graphics import TwoPanelPlot, GraphicsObject, Style, Frame
from PWGJE.EMCALJetTasks.Tracks.analysis.base.SpectrumFitter import SpectrumFitter
from PWGJE.EMCALJetTasks.Tracks.analysis.base.DataCollection import DataCollection, Datapoint
from copy import deepcopy
from ROOT im... | 0.749729 | 0.252836 |
import torch.nn as nn
from .lightcnn import LightCNN, LowHead
from .at import (
ContextBlock,
StripPooling,
)
def getATModule(at_type):
if at_type == 'CB':
return ContextBlock
if at_type == 'SP':
return StripPooling
raise NotImplementedError('{} not implemented'.format(at_type))
... | models/lightcnn_at.py | import torch.nn as nn
from .lightcnn import LightCNN, LowHead
from .at import (
ContextBlock,
StripPooling,
)
def getATModule(at_type):
if at_type == 'CB':
return ContextBlock
if at_type == 'SP':
return StripPooling
raise NotImplementedError('{} not implemented'.format(at_type))
... | 0.883701 | 0.341802 |
# General imports
import os
import numpy as np
import cv2
from utils import conv2d
from utils import atranspose
import torch
from models.network_dncnn import DnCNN as net
def mace(LR,numagents,c,args):
'''
This is a Python implementation of the MACE framework written about in 4D X-Ray CT Reconstruction using... | demos/MDF/utils/maceutils.py | # General imports
import os
import numpy as np
import cv2
from utils import conv2d
from utils import atranspose
import torch
from models.network_dncnn import DnCNN as net
def mace(LR,numagents,c,args):
'''
This is a Python implementation of the MACE framework written about in 4D X-Ray CT Reconstruction using... | 0.526586 | 0.706524 |
import os.path
from data.base_dataset import BaseDataset
from data.image_folder import make_dataset
import pandas as pd
from util import pose_utils
import numpy as np
import torch
from tqdm import tqdm
class HMUBIDataset(BaseDataset):
@staticmethod
def modify_commandline_options(parser, is_train):
pa... | models/Global-Flow-Local-Attention/data/hmubi_dataset.py | import os.path
from data.base_dataset import BaseDataset
from data.image_folder import make_dataset
import pandas as pd
from util import pose_utils
import numpy as np
import torch
from tqdm import tqdm
class HMUBIDataset(BaseDataset):
@staticmethod
def modify_commandline_options(parser, is_train):
pa... | 0.276984 | 0.115686 |
from pathlib import Path
import dash_core_components as dcc
import dash_html_components as html
from ...api_doc import ApiDoc
from ...helpers import ExampleContainer, HighlightedSource
from ...metadata import get_component_metadata
from .button import spinners as spinners_button
from .grow import spinners as spinners... | docs/components_page/components/spinner/__init__.py | from pathlib import Path
import dash_core_components as dcc
import dash_html_components as html
from ...api_doc import ApiDoc
from ...helpers import ExampleContainer, HighlightedSource
from ...metadata import get_component_metadata
from .button import spinners as spinners_button
from .grow import spinners as spinners... | 0.754282 | 0.225566 |
from .framework import (Framework, Keys, main)
from Box2D import (b2EdgeShape, b2FixtureDef, b2PolygonShape, b2_dynamicBody,
b2_kinematicBody, b2_staticBody)
class BodyTypes(Framework):
name = "Body Types"
description = "Change body type keys: (d) dynamic, (s) static, (k) kinematic"
sp... | examples/body_types.py |
from .framework import (Framework, Keys, main)
from Box2D import (b2EdgeShape, b2FixtureDef, b2PolygonShape, b2_dynamicBody,
b2_kinematicBody, b2_staticBody)
class BodyTypes(Framework):
name = "Body Types"
description = "Change body type keys: (d) dynamic, (s) static, (k) kinematic"
sp... | 0.756627 | 0.431105 |
from twisted.cred import checkers, portal
from twisted.test import proto_helpers
from twisted.words.protocols import irc
from twisted.words.service import InMemoryWordsRealm, IRCFactory, IRCUser
from twisted.words.test.test_irc import IRCTestCase
class IRCUserTests(IRCTestCase):
"""
Isolated tests for L{IRCUs... | src/twisted/words/test/test_irc_service.py | from twisted.cred import checkers, portal
from twisted.test import proto_helpers
from twisted.words.protocols import irc
from twisted.words.service import InMemoryWordsRealm, IRCFactory, IRCUser
from twisted.words.test.test_irc import IRCTestCase
class IRCUserTests(IRCTestCase):
"""
Isolated tests for L{IRCUs... | 0.558086 | 0.231918 |
import fastapi
import uvicorn
from fastapi import status
from sqlalchemy.orm import Session
from starlette.staticfiles import StaticFiles
from db.base import Base
from db.crud.allergies import create_allergie
from db.crud.cuisine import create_cuisine
from db.database import engine
from schemes import Allergies
from s... | app/main.py | import fastapi
import uvicorn
from fastapi import status
from sqlalchemy.orm import Session
from starlette.staticfiles import StaticFiles
from db.base import Base
from db.crud.allergies import create_allergie
from db.crud.cuisine import create_cuisine
from db.database import engine
from schemes import Allergies
from s... | 0.604749 | 0.071559 |
from discord.ext import commands
from disnake.ext import commands as commandsnake
import aiohttp
from typing import Union
import asyncio
from .modules import Bots, Servers, Users
class BoticordClient:
"""
This class is used to make it much easier to use the Boticord API.
You can pass `lib` parameter to... | boticordpy/client.py | from discord.ext import commands
from disnake.ext import commands as commandsnake
import aiohttp
from typing import Union
import asyncio
from .modules import Bots, Servers, Users
class BoticordClient:
"""
This class is used to make it much easier to use the Boticord API.
You can pass `lib` parameter to... | 0.875135 | 0.182062 |
import numpy as np
from math import sqrt
from anim_utils.animation_data.utils import convert_quaternion_frame_to_cartesian_frame, align_point_clouds_2D, transform_point_cloud, calculate_point_cloud_distance
from .keyframe_constraint_base import KeyframeConstraintBase
from .. import SPATIAL_CONSTRAINT_TYPE_KEYFRAME_POSE... | morphablegraphs/constraints/spatial_constraints/keyframe_constraints/pose_constraint.py | import numpy as np
from math import sqrt
from anim_utils.animation_data.utils import convert_quaternion_frame_to_cartesian_frame, align_point_clouds_2D, transform_point_cloud, calculate_point_cloud_distance
from .keyframe_constraint_base import KeyframeConstraintBase
from .. import SPATIAL_CONSTRAINT_TYPE_KEYFRAME_POSE... | 0.800809 | 0.427576 |
import os
import platform
import shutil
from subprocess import Popen, PIPE
from eplaunch.workflows.base import BaseEPLaunchWorkflow1, EPLaunchWorkflowResponse1
class ColumnNames(object):
AverageSurfTemp = 'Avg Surf Temp [C]'
AmplitudeSurfTemp = 'Amp Surf Temp [C]'
PhaseConstant = 'Phase Constant [days]'
... | energyplus/EnergyPlus-9-0-1/workflows/calc_soil_surface_temp.py | import os
import platform
import shutil
from subprocess import Popen, PIPE
from eplaunch.workflows.base import BaseEPLaunchWorkflow1, EPLaunchWorkflowResponse1
class ColumnNames(object):
AverageSurfTemp = 'Avg Surf Temp [C]'
AmplitudeSurfTemp = 'Amp Surf Temp [C]'
PhaseConstant = 'Phase Constant [days]'
... | 0.297266 | 0.140749 |
from __future__ import unicode_literals
import codecs
import json
from ..utils import check_executable, to_str
from ..compat import compat_str
from subprocess import Popen, PIPE
from os.path import join
# (mostly joke) wrappers for NodeJS WebSocket packages
if check_executable('node', ['-v']) and check_executable(... | yt_dlp/websocket/nodejs.py | from __future__ import unicode_literals
import codecs
import json
from ..utils import check_executable, to_str
from ..compat import compat_str
from subprocess import Popen, PIPE
from os.path import join
# (mostly joke) wrappers for NodeJS WebSocket packages
if check_executable('node', ['-v']) and check_executable(... | 0.389314 | 0.184272 |
from billy.scrape import ScrapeError, NoDataForPeriod
from billy.scrape.legislators import LegislatorScraper, Legislator
from billy.scrape.committees import Committee
import lxml.html
import re, contextlib
HI_BASE_URL = "http://capitol.hawaii.gov"
def get_legislator_listing_url(chamber):
chamber = {"lower": "... | openstates/openstates-master/openstates/hi/legislators.py | from billy.scrape import ScrapeError, NoDataForPeriod
from billy.scrape.legislators import LegislatorScraper, Legislator
from billy.scrape.committees import Committee
import lxml.html
import re, contextlib
HI_BASE_URL = "http://capitol.hawaii.gov"
def get_legislator_listing_url(chamber):
chamber = {"lower": "... | 0.225076 | 0.175874 |
import numpy as np
import pytest
from l5kit.data import (
ChunkedDataset,
filter_agents_by_frames,
filter_agents_by_track_id,
get_agents_slice_from_frames,
get_frames_slice_from_scenes,
get_tl_faces_slice_from_frames,
)
@pytest.mark.parametrize("frame_bound", [0, 10, 50, 100])
def test_get_fr... | l5kit/l5kit/tests/data/filter_test.py | import numpy as np
import pytest
from l5kit.data import (
ChunkedDataset,
filter_agents_by_frames,
filter_agents_by_track_id,
get_agents_slice_from_frames,
get_frames_slice_from_scenes,
get_tl_faces_slice_from_frames,
)
@pytest.mark.parametrize("frame_bound", [0, 10, 50, 100])
def test_get_fr... | 0.648689 | 0.656059 |
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
from pants.backend.graph_info.subsystems.cloc_binary import ClocBinary
from pants.base.build_environment import get_buildroot
from pants.base.exceptions im... | src/python/pants/backend/graph_info/tasks/cloc.py |
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
from pants.backend.graph_info.subsystems.cloc_binary import ClocBinary
from pants.base.build_environment import get_buildroot
from pants.base.exceptions im... | 0.499268 | 0.098729 |
import rospy
import math
import numpy as np
from geometry_msgs.msg import Twist, Point, Quaternion
from tf.transformations import euler_from_quaternion
from gazebo_msgs.msg import LinkStates
from geometry_msgs.msg import Pose
class MeasureAreaCovered:
def __init__(self):
self.link_name = 'turtlebot3_burg... | part2/python/measure_coverage.py |
import rospy
import math
import numpy as np
from geometry_msgs.msg import Twist, Point, Quaternion
from tf.transformations import euler_from_quaternion
from gazebo_msgs.msg import LinkStates
from geometry_msgs.msg import Pose
class MeasureAreaCovered:
def __init__(self):
self.link_name = 'turtlebot3_burg... | 0.5083 | 0.349935 |
import json
import pygame
from drawable import Drawable
class Tile(Drawable):
COLOR_UNREVEALED = (193, 192, 193)
COLOR_REVEALED = (193, 192, 193)
COLOR_REVEALED_MINE = (255, 192, 193)
MINE_DANGER = 9
# Load indicative 'danger level' colors from external json file
with open('json/colors_dang... | tile.py | import json
import pygame
from drawable import Drawable
class Tile(Drawable):
COLOR_UNREVEALED = (193, 192, 193)
COLOR_REVEALED = (193, 192, 193)
COLOR_REVEALED_MINE = (255, 192, 193)
MINE_DANGER = 9
# Load indicative 'danger level' colors from external json file
with open('json/colors_dang... | 0.490236 | 0.145206 |
try:
import numeric
SIMPLEGUICS2PYGAME = False
except ImportError:
import SimpleGUICS2Pygame.numeric as numeric
SIMPLEGUICS2PYGAME = True
if SIMPLEGUICS2PYGAME:
from sys import version as python_version
PYTHON_VERSION = 'Python ' + python_version.split()[0]
else:
PYTHON_VERSION = 'CodeS... | venv/lib/python2.7/site-packages/SimpleGUICS2Pygame/test/test_numeric.py | try:
import numeric
SIMPLEGUICS2PYGAME = False
except ImportError:
import SimpleGUICS2Pygame.numeric as numeric
SIMPLEGUICS2PYGAME = True
if SIMPLEGUICS2PYGAME:
from sys import version as python_version
PYTHON_VERSION = 'Python ' + python_version.split()[0]
else:
PYTHON_VERSION = 'CodeS... | 0.394667 | 0.599133 |
from __future__ import absolute_import
from xml.etree import ElementTree
import six.moves.urllib.request, six.moves.urllib.parse, six.moves.urllib.error
from . import plexapp
from . import plexconnection
from . import plexserver
from . import myplexrequest
from . import callback
from . import util
class MyPlexManage... | lib/_included_packages/plexnet/myplexmanager.py | from __future__ import absolute_import
from xml.etree import ElementTree
import six.moves.urllib.request, six.moves.urllib.parse, six.moves.urllib.error
from . import plexapp
from . import plexconnection
from . import plexserver
from . import myplexrequest
from . import callback
from . import util
class MyPlexManage... | 0.320821 | 0.046595 |
import sys
import pygame
from time import sleep
from settings import Settings
from ship import Ship
from bullet import Bullet
from alien import Alien
from game_stats import GameStats
from button import Button
from scoreboard import Scoreboard
from difficulty import Difficulty
class AlienInvasion:
'''docs... | alien_invasion/alien_invasion.py | import sys
import pygame
from time import sleep
from settings import Settings
from ship import Ship
from bullet import Bullet
from alien import Alien
from game_stats import GameStats
from button import Button
from scoreboard import Scoreboard
from difficulty import Difficulty
class AlienInvasion:
'''docs... | 0.1151 | 0.05848 |
import csv, json, time, collections
ds_pass_msg = dict( error_severity='na', error_message='No handle registry errors detected' )
input_dataset_list = 'c3s34g_pids_qcTest_Oct2020.txt'
major_error_codes = {'ERROR.ds.0900'}
major_error_codes = set()
minor_error_codes = {'ERROR.ds.0040'}
CHECK_MASKS = False
class Jpre... | scripts/jprep_handle.py | import csv, json, time, collections
ds_pass_msg = dict( error_severity='na', error_message='No handle registry errors detected' )
input_dataset_list = 'c3s34g_pids_qcTest_Oct2020.txt'
major_error_codes = {'ERROR.ds.0900'}
major_error_codes = set()
minor_error_codes = {'ERROR.ds.0040'}
CHECK_MASKS = False
class Jpre... | 0.112539 | 0.24335 |
from watson_developer_cloud import NaturalLanguageUnderstandingV1
from watson_developer_cloud.natural_language_understanding_v1 import \
Features, EntitiesOptions, KeywordsOptions, CategoriesOptions
class NLUUtils:
"""NLUUtils class defines connection to NLU service and provides a way to analyze text sentimen... | cloud/applications/cars-4-you/nlu_utils.py | from watson_developer_cloud import NaturalLanguageUnderstandingV1
from watson_developer_cloud.natural_language_understanding_v1 import \
Features, EntitiesOptions, KeywordsOptions, CategoriesOptions
class NLUUtils:
"""NLUUtils class defines connection to NLU service and provides a way to analyze text sentimen... | 0.778397 | 0.290515 |
AUTO_STOP=False
DATADIR='data'
SHORTCUT_PREFIX='s'
OUTDIR='render'
TASKFN='task.org'
BACKLOG='Backlog'
STORY_SEPARATOR='/'
STATUSES=['REVIEW','DOING','TODO','DONE','DUPE','POSTPONED','CANCELLED', 'PARENT', 'STORAGE']
DONESTATES=['DONE','DUPE','CANCELLED','POSTPONED']
DOINGSTATES=['REVIEW','DOING']
DEFAULT_STATUS='TODO... | config.py | AUTO_STOP=False
DATADIR='data'
SHORTCUT_PREFIX='s'
OUTDIR='render'
TASKFN='task.org'
BACKLOG='Backlog'
STORY_SEPARATOR='/'
STATUSES=['REVIEW','DOING','TODO','DONE','DUPE','POSTPONED','CANCELLED', 'PARENT', 'STORAGE']
DONESTATES=['DONE','DUPE','CANCELLED','POSTPONED']
DOINGSTATES=['REVIEW','DOING']
DEFAULT_STATUS='TODO... | 0.199932 | 0.081009 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import time
class OneAndOneResources:
firewall_policy = 'firewall_policy'
load_balancer = 'load_balancer'
monitoring_policy = 'monitoring_policy'
private_network = 'private_network'
public_ip = 'public_ip'
... | Collections-a-installer/community-general-2.4.0/plugins/module_utils/oneandone.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import time
class OneAndOneResources:
firewall_policy = 'firewall_policy'
load_balancer = 'load_balancer'
monitoring_policy = 'monitoring_policy'
private_network = 'private_network'
public_ip = 'public_ip'
... | 0.688154 | 0.077797 |
from datasette import hookimpl
import click
import json
from subprocess import call
from .common import (
add_common_publish_arguments_and_options,
fail_if_publish_binary_not_installed,
)
from ..utils import temporary_docker_directory
@hookimpl
def publish_subcommand(publish):
@publish.command()
@add... | datasette/publish/now.py | from datasette import hookimpl
import click
import json
from subprocess import call
from .common import (
add_common_publish_arguments_and_options,
fail_if_publish_binary_not_installed,
)
from ..utils import temporary_docker_directory
@hookimpl
def publish_subcommand(publish):
@publish.command()
@add... | 0.27338 | 0.096408 |
import logging
import gobject
from datetime import datetime, timedelta
# Victron packages
from ve_utils import exit_on_error
from delegates.base import SystemCalcDelegate
# Path constants
BLPATH = "/Settings/CGwacs/BatteryLife";
STATE_PATH = BLPATH + "/State";
FLAGS_PATH = BLPATH + "/Flags";
SOC_LIMIT_PATH = BLPATH +... | delegates/batterylife.py | import logging
import gobject
from datetime import datetime, timedelta
# Victron packages
from ve_utils import exit_on_error
from delegates.base import SystemCalcDelegate
# Path constants
BLPATH = "/Settings/CGwacs/BatteryLife";
STATE_PATH = BLPATH + "/State";
FLAGS_PATH = BLPATH + "/Flags";
SOC_LIMIT_PATH = BLPATH +... | 0.469763 | 0.15704 |
from __future__ import print_function
import idc
import idaapi
import idautils
import flare_emu
tests = {"from MultiByteToWideChar\r\n":["this is a test".encode("utf-16"), 15],
"from WideCharToMultiByte\r\n":["this is a test", 15],
"truncated MultiByteToWideChar":["this".encode("utf-16"),... | tests/flare_emu_test_hooks.py |
from __future__ import print_function
import idc
import idaapi
import idautils
import flare_emu
tests = {"from MultiByteToWideChar\r\n":["this is a test".encode("utf-16"), 15],
"from WideCharToMultiByte\r\n":["this is a test", 15],
"truncated MultiByteToWideChar":["this".encode("utf-16"),... | 0.293202 | 0.25678 |
from tenzing.core.models import tenzing_model, model_relation
from tenzing.core.mixins import optionMixin
from tenzing.utils import singleton, test_utils
from tenzing.core import plotting
from tenzing.core.summary import create_frequency_table
import os
import logging
import pandas.api.types as pdt
import pandas as pd
... | src/tenzing/core/model_implementations/types.py | from tenzing.core.models import tenzing_model, model_relation
from tenzing.core.mixins import optionMixin
from tenzing.utils import singleton, test_utils
from tenzing.core import plotting
from tenzing.core.summary import create_frequency_table
import os
import logging
import pandas.api.types as pdt
import pandas as pd
... | 0.832407 | 0.636466 |
from keras.layers import Input, merge, Dropout, Dense, Lambda, Flatten, Activation
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import MaxPooling2D, Convolution2D, AveragePooling2D
from keras.models import Model
from keras import backend as K
import warnings
warnings.filte... | inception_resnet_v1.py | from keras.layers import Input, merge, Dropout, Dense, Lambda, Flatten, Activation
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import MaxPooling2D, Convolution2D, AveragePooling2D
from keras.models import Model
from keras import backend as K
import warnings
warnings.filte... | 0.946287 | 0.685581 |
import sys
import cv2
import numpy as np
from PyQt4 import QtGui, QtCore, Qt
from ui import Ui_MainWindow
class Video():
def __init__(self,capture):
self.capture = capture
self.currentFrame=np.array([])
def captureFrame(self):
"""
capture frame and return captured frame
... | webcam_qt/qtcvmain.py | import sys
import cv2
import numpy as np
from PyQt4 import QtGui, QtCore, Qt
from ui import Ui_MainWindow
class Video():
def __init__(self,capture):
self.capture = capture
self.currentFrame=np.array([])
def captureFrame(self):
"""
capture frame and return captured frame
... | 0.186502 | 0.128034 |
from __future__ import absolute_import
import struct
import pytest
import os
import sys
try:
import simplejson as json
except ImportError:
import json # pyflakes.ignore
# shunt '..' into sys.path since we are in a 'tests' subdirectory
base_dir = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(_... | tests/test_command.py | from __future__ import absolute_import
import struct
import pytest
import os
import sys
try:
import simplejson as json
except ImportError:
import json # pyflakes.ignore
# shunt '..' into sys.path since we are in a 'tests' subdirectory
base_dir = os.path.abspath(os.path.join(os.path.dirname(os.path.abspath(_... | 0.323273 | 0.111338 |
def create_rf_estimator(verbose, random_state, n_jobs):
from sklearn.ensemble import RandomForestClassifier
return RandomForestClassifier(n_estimators=50, min_samples_split=2, min_samples_leaf=2,
max_features='auto', max_depth=30, bootstrap=False,
... | notebooks/lib/classifiers.py | def create_rf_estimator(verbose, random_state, n_jobs):
from sklearn.ensemble import RandomForestClassifier
return RandomForestClassifier(n_estimators=50, min_samples_split=2, min_samples_leaf=2,
max_features='auto', max_depth=30, bootstrap=False,
... | 0.834137 | 0.286034 |
import ctypes
import random
import string
from binascii import unhexlify, hexlify
from libnacl import crypto_box_SECRETKEYBYTES, nacl, crypto_box_PUBLICKEYBYTES
from common.exceptions import PlenumValueError
from stp_core.crypto.nacl_wrappers import Signer
# TODO: move it to crypto repo
# TODO returning a None when... | stp_core/crypto/util.py | import ctypes
import random
import string
from binascii import unhexlify, hexlify
from libnacl import crypto_box_SECRETKEYBYTES, nacl, crypto_box_PUBLICKEYBYTES
from common.exceptions import PlenumValueError
from stp_core.crypto.nacl_wrappers import Signer
# TODO: move it to crypto repo
# TODO returning a None when... | 0.367497 | 0.214034 |
from gamelogic import constants
from gamelogic.bubblesort import BubbleSort
from gamelogic.rngsus import RNGsus
class GameState():
def __init__(self, word=""):
self.__word = word
self.__state = word
self.__sorter = BubbleSort(self.__word)
self.__curr_state = 0
self.__frame... | gamelogic/gamestate.py | from gamelogic import constants
from gamelogic.bubblesort import BubbleSort
from gamelogic.rngsus import RNGsus
class GameState():
def __init__(self, word=""):
self.__word = word
self.__state = word
self.__sorter = BubbleSort(self.__word)
self.__curr_state = 0
self.__frame... | 0.487795 | 0.201204 |
from __future__ import absolute_import, print_function, division
from sklearn.decomposition import TruncatedSVD
from sklearn.utils import check_array
import numpy as np
from .solver import Solver
from .common import masked_mae
F32PREC = np.finfo(np.float32).eps
class IterativeSVD(Solver):
def __init__(
... | fancyimpute/iterative_svd.py |
from __future__ import absolute_import, print_function, division
from sklearn.decomposition import TruncatedSVD
from sklearn.utils import check_array
import numpy as np
from .solver import Solver
from .common import masked_mae
F32PREC = np.finfo(np.float32).eps
class IterativeSVD(Solver):
def __init__(
... | 0.863176 | 0.248568 |
import datetime
from dateutil.relativedelta import relativedelta
import re
import math
from typing import Tuple, Union
def today() -> str:
"""
Returns 'yyyy-mm-dd' date for today
>>> today() == datetime.date.today().strftime('%Y-%m-%d')
True
"""
return datetime.date.today().strftime("%Y-%m-%d... | yyyy_mm_dd/__init__.py | import datetime
from dateutil.relativedelta import relativedelta
import re
import math
from typing import Tuple, Union
def today() -> str:
"""
Returns 'yyyy-mm-dd' date for today
>>> today() == datetime.date.today().strftime('%Y-%m-%d')
True
"""
return datetime.date.today().strftime("%Y-%m-%d... | 0.819605 | 0.336059 |
load("//tools/bzl:maven_jar.bzl", "maven_jar")
def declare_nongoogle_deps():
"""loads dependencies that are not used at Google.
Changes to versions are exempt from library compliance review. New
dependencies must pass through library compliance review. This is
enforced by //lib:nongoogle_test.
"""... | tools/nongoogle.bzl | load("//tools/bzl:maven_jar.bzl", "maven_jar")
def declare_nongoogle_deps():
"""loads dependencies that are not used at Google.
Changes to versions are exempt from library compliance review. New
dependencies must pass through library compliance review. This is
enforced by //lib:nongoogle_test.
"""... | 0.374333 | 0.155944 |
"""
根据WSGI协议
仅需要应用开发者实现一个函数来响应HTTP请求。
例如：
def application(environ, start_response):
start_response('200 OK', [('Content-Type', 'text/html')])
return '<h1>Hello, web!</h1>'
该application函数便是一个复合WSGI标准的应用函数：
它接收两个参数environ、start_response.
environ:是一个包含所有HTTP请求信息的dict对象，由web服务器提供给后端应用。
start_response：一个由服务器提供的发送HTT... | Application.py | """
根据WSGI协议
仅需要应用开发者实现一个函数来响应HTTP请求。
例如：
def application(environ, start_response):
start_response('200 OK', [('Content-Type', 'text/html')])
return '<h1>Hello, web!</h1>'
该application函数便是一个复合WSGI标准的应用函数：
它接收两个参数environ、start_response.
environ:是一个包含所有HTTP请求信息的dict对象，由web服务器提供给后端应用。
start_response：一个由服务器提供的发送HTT... | 0.123247 | 0.347454 |
import os
from django import VERSION as DJANGO_VERSION
from django.conf.global_settings import * # NOQA
from wagtail import VERSION as WAGTAIL_VERSION
DEBUG = True
SITE_ID = 1
TIME_ZONE = 'Europe/London'
USE_TZ = True
USE_I18N = True
USE_L10N = True
LANGUAGE_CODE = 'en'
INSTALLED_APPS = (
'wagtailmenus',
... | wagtailmenus/settings/base.py | import os
from django import VERSION as DJANGO_VERSION
from django.conf.global_settings import * # NOQA
from wagtail import VERSION as WAGTAIL_VERSION
DEBUG = True
SITE_ID = 1
TIME_ZONE = 'Europe/London'
USE_TZ = True
USE_I18N = True
USE_L10N = True
LANGUAGE_CODE = 'en'
INSTALLED_APPS = (
'wagtailmenus',
... | 0.194291 | 0.053974 |
import boto3
import termcolor
# Create an S3 client
s3 = boto3.resource("s3")
s3_client = boto3.client("s3")
GROUPS_TO_CHECK = {
"http://acs.amazonaws.com/groups/global/AllUsers": "Everyone",
"http://acs.amazonaws.com/groups/global/AuthenticatedUsers": "Authenticated AWS users"
}
BUCKETS_TO_SKIP = {
}
... | s3Scan.py | import boto3
import termcolor
# Create an S3 client
s3 = boto3.resource("s3")
s3_client = boto3.client("s3")
GROUPS_TO_CHECK = {
"http://acs.amazonaws.com/groups/global/AllUsers": "Everyone",
"http://acs.amazonaws.com/groups/global/AuthenticatedUsers": "Authenticated AWS users"
}
BUCKETS_TO_SKIP = {
}
... | 0.33112 | 0.103794 |
import xarray as xr
import numpy as np
from scipy import stats
# compute the Pearson's r coefficient between x and y along time dimension
# valid for 1D xarrays of same shape
# TODO: check it for ND xarrays
def correlation_1D_1D_time(x, y):
anom_xy = (x-x.mean(dim='time'))*(y-y.mean(dim='time'))
anom_xx =... | processing/processing/utils/math.py | import xarray as xr
import numpy as np
from scipy import stats
# compute the Pearson's r coefficient between x and y along time dimension
# valid for 1D xarrays of same shape
# TODO: check it for ND xarrays
def correlation_1D_1D_time(x, y):
anom_xy = (x-x.mean(dim='time'))*(y-y.mean(dim='time'))
anom_xx =... | 0.374791 | 0.83868 |
from varben.common.bamobject import SV
import pysam
import traceback
def check_sv(sv_info, chrom_len):
min_size = 100
chr_id, start_id, end_id, type_id, freq_id = 0, 1, 2, 3, 4
trans_chr_id, trans_start_id, trans_end_id = 5, 6, 7
cnv_type_id, dup_num_id = 5, 5
try:
chrom, star... | varben/deal_sv/checkSVInput.py | from varben.common.bamobject import SV
import pysam
import traceback
def check_sv(sv_info, chrom_len):
min_size = 100
chr_id, start_id, end_id, type_id, freq_id = 0, 1, 2, 3, 4
trans_chr_id, trans_start_id, trans_end_id = 5, 6, 7
cnv_type_id, dup_num_id = 5, 5
try:
chrom, star... | 0.152947 | 0.135489 |
import pysendsms
from tests.tools import raise_error
def test_invalid_number():
error_message = 'Bad number input: Ex."277-453-2453"'
assert raise_error(ValueError, pysendsms.Contact, '702851171', 'AT&T', msg=error_message) # Short
assert raise_error(ValueError, pysendsms.Contact, '702851171100... | tests/test_contact.py |
import pysendsms
from tests.tools import raise_error
def test_invalid_number():
error_message = 'Bad number input: Ex."277-453-2453"'
assert raise_error(ValueError, pysendsms.Contact, '702851171', 'AT&T', msg=error_message) # Short
assert raise_error(ValueError, pysendsms.Contact, '702851171100... | 0.767254 | 0.360573 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy.signal
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import DeveloperAPI
def discount(x, gamma):
return scipy.signal.lfilter([1], [... | rllib/evaluation/postprocessing.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import scipy.signal
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import DeveloperAPI
def discount(x, gamma):
return scipy.signal.lfilter([1], [... | 0.861378 | 0.324556 |
from .defaults import DEFAULT_NAMESPACE, DEFAULT_CRD_API_VERSION
from .exceptions import UnrecognisedObjectKindError
from .api_version_parser import ApiVersionParser
from kubernetes.client.rest import ApiException
from openshift.dynamic.exceptions import api_exception, NotFoundError
import kubernetes.client as kubernet... | kubedriver/kubeclient/api_ctl.py | from .defaults import DEFAULT_NAMESPACE, DEFAULT_CRD_API_VERSION
from .exceptions import UnrecognisedObjectKindError
from .api_version_parser import ApiVersionParser
from kubernetes.client.rest import ApiException
from openshift.dynamic.exceptions import api_exception, NotFoundError
import kubernetes.client as kubernet... | 0.408395 | 0.079675 |
import pyverdict
import argparse
import logging
import os
import time
import pandas as pd
import pickle
import re
parser = argparse.ArgumentParser()
parser.add_argument('-s','-sampling_ratio',help='sampling ratio',dest='sampling_ratio',required=True)
args = parser.parse_args()
print(args.sampling_ratio)
sampling_ra... | code/Accuracy/verdict_runner_instacart.py | import pyverdict
import argparse
import logging
import os
import time
import pandas as pd
import pickle
import re
parser = argparse.ArgumentParser()
parser.add_argument('-s','-sampling_ratio',help='sampling ratio',dest='sampling_ratio',required=True)
args = parser.parse_args()
print(args.sampling_ratio)
sampling_ra... | 0.17621 | 0.076891 |
import json
from hashlib import md5
from io import StringIO
from pathlib import Path
from unittest.mock import patch
from django.core.management import call_command
import pytest
def _call_build_command(*args, **kwargs) -> str:
stdout = StringIO()
stderr = StringIO()
call_command(
"build",
... | tests/management/commands/build_command/test_build_command.py | import json
from hashlib import md5
from io import StringIO
from pathlib import Path
from unittest.mock import patch
from django.core.management import call_command
import pytest
def _call_build_command(*args, **kwargs) -> str:
stdout = StringIO()
stderr = StringIO()
call_command(
"build",
... | 0.409339 | 0.180179 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..submodules import word_module
from ..submodules import post_module
__author__ = "<NAME>"
class HierarchicalTransformer(nn.Module):
@staticmethod
def init_weights(layer):
if type(layer) == nn.Linear:
nn.init.xavier_n... | sgnlp/models/rumour_detection_twitter/modules/transformer/hierarchical_transformer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from ..submodules import word_module
from ..submodules import post_module
__author__ = "<NAME>"
class HierarchicalTransformer(nn.Module):
@staticmethod
def init_weights(layer):
if type(layer) == nn.Linear:
nn.init.xavier_n... | 0.915942 | 0.183484 |
import logging
from threading import RLock
from blatann.services.glucose.data_types import GlucoseMeasurement
from blatann.services.glucose.racp import RacpResponseCode
logger = logging.getLogger(__name__)
class IGlucoseDatabase(object):
"""
Defines the interface required for the Glucose Service ... | blatann/services/glucose/database.py | import logging
from threading import RLock
from blatann.services.glucose.data_types import GlucoseMeasurement
from blatann.services.glucose.racp import RacpResponseCode
logger = logging.getLogger(__name__)
class IGlucoseDatabase(object):
"""
Defines the interface required for the Glucose Service ... | 0.685423 | 0.398348 |
import random
import six
import lmdb
from torch.utils.data import Dataset, ConcatDataset, Subset
from torch.nn import functional as F
from PIL import Image
import numpy as np
class DataItemKeys:
"""
Keys, returned in dict by all dataset classes, to avoid misprints
"""
IMAGE = "image"
IMAGE_WIDTH = ... | recognition/src/data/dataset.py | import random
import six
import lmdb
from torch.utils.data import Dataset, ConcatDataset, Subset
from torch.nn import functional as F
from PIL import Image
import numpy as np
class DataItemKeys:
"""
Keys, returned in dict by all dataset classes, to avoid misprints
"""
IMAGE = "image"
IMAGE_WIDTH = ... | 0.789761 | 0.307436 |
from datetime import date
import model
from modules import query_sql
def profile(user_id):
# Запрос текущего веса пользователя (c)
query_real_weight = query_sql.real_weight_user(user_id)
# Запрос данных пользователя
profile_query = model.Profiles.query.filter_by(user_id=user_id).first()
return pr... | modules/profile_user.py | from datetime import date
import model
from modules import query_sql
def profile(user_id):
# Запрос текущего веса пользователя (c)
query_real_weight = query_sql.real_weight_user(user_id)
# Запрос данных пользователя
profile_query = model.Profiles.query.filter_by(user_id=user_id).first()
return pr... | 0.392919 | 0.452173 |
from django.db import migrations, models
import django.db.models.deletion
import ietf.utils.models
class Migration(migrations.Migration):
dependencies = [
('doc', '0009_move_non_url_externalurls_to_uploaded_filename'),
('name', '0005_reviewassignmentstatename'),
('person', '0008_auto_20... | ietf/review/migrations/0009_refactor_review_request.py |
from django.db import migrations, models
import django.db.models.deletion
import ietf.utils.models
class Migration(migrations.Migration):
dependencies = [
('doc', '0009_move_non_url_externalurls_to_uploaded_filename'),
('name', '0005_reviewassignmentstatename'),
('person', '0008_auto_20... | 0.484136 | 0.138171 |
import numpy as np
import matplotlib.pyplot as plt
import mir3.modules.tool.wav2spectrogram as wav2spec
eps = np.finfo(float).eps
def inDb(a):
return 20 * np.log10(a + eps)
def saveBMP(data, filename):
pass
def remove_random_noise(spectrogram, plot=False, outputPngName=None, filter_compensation='log10', pas... | remove_random_noise.py | import numpy as np
import matplotlib.pyplot as plt
import mir3.modules.tool.wav2spectrogram as wav2spec
eps = np.finfo(float).eps
def inDb(a):
return 20 * np.log10(a + eps)
def saveBMP(data, filename):
pass
def remove_random_noise(spectrogram, plot=False, outputPngName=None, filter_compensation='log10', pas... | 0.332852 | 0.367554 |
from __future__ import unicode_literals
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import uuid
import variants.models
class Migration(migrations.Migration):
dependenc... | importer/migrations/0005_auto_20200129_1600.py | from __future__ import unicode_literals
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.jsonb
from django.db import migrations, models
import django.db.models.deletion
import uuid
import variants.models
class Migration(migrations.Migration):
dependenc... | 0.534612 | 0.139924 |
DEPLOY_MSG = \
"""<soapenv:Envelope
xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/"
xmlns:met="http://soap.sforce.com/2006/04/metadata">
<soapenv:Header>
<met:CallOptions>
<met:client>{client}</met:client>
</met:CallOptions>
<met:SessionHeader>
<met:s... | simple_salesforce/messages.py | DEPLOY_MSG = \
"""<soapenv:Envelope
xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/"
xmlns:met="http://soap.sforce.com/2006/04/metadata">
<soapenv:Header>
<met:CallOptions>
<met:client>{client}</met:client>
</met:CallOptions>
<met:SessionHeader>
<met:s... | 0.241489 | 0.064624 |
import unittest
from pydeequ.profiles import ColumnProfilerRunBuilder, ColumnProfilerRunner
from pydeequ.analyzers import KLLParameters
from pyspark.sql import SparkSession, Row
class TestProfiles(unittest.TestCase):
@classmethod
def setUpClass(cls):
deequ_maven_coord = "com.amazon.deequ:deequ:1.0.3"
... | tests/test_profiles.py | import unittest
from pydeequ.profiles import ColumnProfilerRunBuilder, ColumnProfilerRunner
from pydeequ.analyzers import KLLParameters
from pyspark.sql import SparkSession, Row
class TestProfiles(unittest.TestCase):
@classmethod
def setUpClass(cls):
deequ_maven_coord = "com.amazon.deequ:deequ:1.0.3"
... | 0.644784 | 0.386532 |
import torch as th
from torch.nn.functional import relu
def intensity_at_t(mu, alpha, sequences_padded, mask, t):
"""Finds the hawkes intensity:
mu + alpha * sum( np.exp(-(t-s)) for s in points if s<=t )
Args:
mu: float
alpha: float
sequences_padded: 2d numpy array
mask: ... | tpp/processes/hawkes.py | import torch as th
from torch.nn.functional import relu
def intensity_at_t(mu, alpha, sequences_padded, mask, t):
"""Finds the hawkes intensity:
mu + alpha * sum( np.exp(-(t-s)) for s in points if s<=t )
Args:
mu: float
alpha: float
sequences_padded: 2d numpy array
mask: ... | 0.935722 | 0.755299 |