code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import json
import collections
import requests
from sseclient import SSEClient
from typing import List, Union, Optional
from nexussdk.utils.store import storage
# to make sure the output response dictionary are always ordered like the response's json
decode_json_ordered = json.JSONDecoder(object_pairs_hook=collections... | nexussdk/utils/http.py | import json
import collections
import requests
from sseclient import SSEClient
from typing import List, Union, Optional
from nexussdk.utils.store import storage
# to make sure the output response dictionary are always ordered like the response's json
decode_json_ordered = json.JSONDecoder(object_pairs_hook=collections... | 0.744285 | 0.23772 |
import argparse
import os
import logging
import textwrap
import sys
from AdjusterMain import adjust
class ArgumentDefaultsHelpFormatter(argparse.RawTextHelpFormatter):
def _get_help_string(self, action):
return textwrap.dedent(action.help)
def main():
parser = argparse.ArgumentParser(formatter_class... | Adjuster.py | import argparse
import os
import logging
import textwrap
import sys
from AdjusterMain import adjust
class ArgumentDefaultsHelpFormatter(argparse.RawTextHelpFormatter):
def _get_help_string(self, action):
return textwrap.dedent(action.help)
def main():
parser = argparse.ArgumentParser(formatter_class... | 0.385722 | 0.110088 |
import torch
import torchvision.transforms as transforms
import torch.utils.data as data
import os
from pycocotools.coco import COCO
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
class CocoDataset(data.Dataset):
"""COCO Custom Dataset compatible with torch.utils.data.DataLoader."""
d... | baselines/profill/profill_loader.py | import torch
import torchvision.transforms as transforms
import torch.utils.data as data
import os
from pycocotools.coco import COCO
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
class CocoDataset(data.Dataset):
"""COCO Custom Dataset compatible with torch.utils.data.DataLoader."""
d... | 0.887887 | 0.61115 |
from openerp.tests import common
class TestMail(common.SavepointCase):
@classmethod
def _init_mock_build_email(cls):
cls._build_email_args_list = []
cls._build_email_kwargs_list = []
def setUp(self):
super(TestMail, self).setUp()
self._build_email_args_list[:] = []
... | Code/odooerp/odoo-8.0/openerp/addons/mail/tests/common.py |
from openerp.tests import common
class TestMail(common.SavepointCase):
@classmethod
def _init_mock_build_email(cls):
cls._build_email_args_list = []
cls._build_email_kwargs_list = []
def setUp(self):
super(TestMail, self).setUp()
self._build_email_args_list[:] = []
... | 0.481698 | 0.081923 |
from __future__ import (absolute_import, division, print_function, unicode_literals)
import numpy as np
import multiprocessing
from functools import partial
from .rectangular_mesh import RectangularDoubleMesh
from .mesh_helpers import _set_approximate_cell_sizes, _cell1_parallelization_indices
from .cpairs import npai... | halotools/mock_observables/pair_counters/npairs_per_object_3d.py | from __future__ import (absolute_import, division, print_function, unicode_literals)
import numpy as np
import multiprocessing
from functools import partial
from .rectangular_mesh import RectangularDoubleMesh
from .mesh_helpers import _set_approximate_cell_sizes, _cell1_parallelization_indices
from .cpairs import npai... | 0.915861 | 0.543833 |
import pandas as pd
import numpy as np
import httpx
import asyncio
import json
import sys
import os
def process_corpus(input_spreadsheet):
# Verify that the input sheet exists
input_tab = "core_corpus"
print(f"beslaktade: Verifying {input_spreadsheet}")
xl = pd.ExcelFile(input_spreadsheet)
sheet_na... | beslaktade.py | import pandas as pd
import numpy as np
import httpx
import asyncio
import json
import sys
import os
def process_corpus(input_spreadsheet):
# Verify that the input sheet exists
input_tab = "core_corpus"
print(f"beslaktade: Verifying {input_spreadsheet}")
xl = pd.ExcelFile(input_spreadsheet)
sheet_na... | 0.093208 | 0.178025 |
import os
import xml.etree.ElementTree as ElementTree
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from src.PainterWidget import PainterWidget
from src.DragWidget import DragWidget
from src.Slider import Slider
from src.utils import log_method_name, prepare_cfg, load_styles, default_league_name, xml_indent
... | src/SettingsWidget.py | import os
import xml.etree.ElementTree as ElementTree
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from src.PainterWidget import PainterWidget
from src.DragWidget import DragWidget
from src.Slider import Slider
from src.utils import log_method_name, prepare_cfg, load_styles, default_league_name, xml_indent
... | 0.333069 | 0.079246 |
# Author: <NAME>
# License: MIT
# ULR: https://github.com/iblis-ms/python_cmake_build_system
import os
import subprocess
from builtins import staticmethod
import sys
import urllib.request
import logging
from .sysOp import SysOp
class Utils:
"""
Class that helps running CMake.
"""
@stat... | buildSystemTests/testModules/utils.py |
# Author: <NAME>
# License: MIT
# ULR: https://github.com/iblis-ms/python_cmake_build_system
import os
import subprocess
from builtins import staticmethod
import sys
import urllib.request
import logging
from .sysOp import SysOp
class Utils:
"""
Class that helps running CMake.
"""
@stat... | 0.460774 | 0.113187 |
if __name__ != 'pcdsdevices.signal':
raise RuntimeError('A script tried to import pcdsdevices.signal '
'instead of the signal built-in module. This '
'usually happens when a script is run from '
'inside the pcdsdevices directory and can cause '
... | pcdsdevices/signal.py | if __name__ != 'pcdsdevices.signal':
raise RuntimeError('A script tried to import pcdsdevices.signal '
'instead of the signal built-in module. This '
'usually happens when a script is run from '
'inside the pcdsdevices directory and can cause '
... | 0.822439 | 0.370553 |
import random
from generate_gif import pre_process, convert2gif
from save_video import save_video
import numpy as np
import os
def select_frames(video_len):
# make sure duration > 2s
max_end = video_len - 60
start = random.randint(0, max_end)
min_start = start + 60
end = random.randint(min_start,... | util/generate_data.py | import random
from generate_gif import pre_process, convert2gif
from save_video import save_video
import numpy as np
import os
def select_frames(video_len):
# make sure duration > 2s
max_end = video_len - 60
start = random.randint(0, max_end)
min_start = start + 60
end = random.randint(min_start,... | 0.158663 | 0.206834 |
from __future__ import division
from itertools import product
from collections import Counter, defaultdict
import json
def get_author_json():
'''Return the clean_spenserian_author_data.json'''
with open(author_file) as f:
return json.load(f)
def get_raw_frequencies():
'''Find the cooccurrence count for each... | assets/posts/spenserian-networks/utils/charts/get_author_cooccurrence_data.py | from __future__ import division
from itertools import product
from collections import Counter, defaultdict
import json
def get_author_json():
'''Return the clean_spenserian_author_data.json'''
with open(author_file) as f:
return json.load(f)
def get_raw_frequencies():
'''Find the cooccurrence count for each... | 0.675122 | 0.389314 |
import os,sys
import numpy as np
import ROOT as rt
from array import array
from larcv import larcv
from ROOT import divalgo
from ROOT import std
rt.gStyle.SetOptStat(0)
divider = divalgo.DividerAlgo()
uwires = std.vector('int')()
vwires = std.vector('int')()
ywires = std.vector('int')()
# Draw TPC projection
c = ... | larcv/app/arxiv/arxiv/HiResDivider/test_divideralgo.py | import os,sys
import numpy as np
import ROOT as rt
from array import array
from larcv import larcv
from ROOT import divalgo
from ROOT import std
rt.gStyle.SetOptStat(0)
divider = divalgo.DividerAlgo()
uwires = std.vector('int')()
vwires = std.vector('int')()
ywires = std.vector('int')()
# Draw TPC projection
c = ... | 0.178669 | 0.3078 |
import datetime
import time
from dateutil import tz
from testtools import matchers
import yaql.tests
DT = datetime.datetime
TS = datetime.timedelta
class TestDatetime(yaql.tests.TestCase):
def test_build_datetime_components(self):
dt = DT(2015, 8, 29, tzinfo=tz.tzutc())
self.assertEqual(
... | yaql/tests/test_datetime.py |
import datetime
import time
from dateutil import tz
from testtools import matchers
import yaql.tests
DT = datetime.datetime
TS = datetime.timedelta
class TestDatetime(yaql.tests.TestCase):
def test_build_datetime_components(self):
dt = DT(2015, 8, 29, tzinfo=tz.tzutc())
self.assertEqual(
... | 0.508056 | 0.367838 |
from django.contrib.messages import get_messages
from homeschool.courses.tests.factories import (
CourseFactory,
CourseTaskFactory,
GradedWorkFactory,
)
from homeschool.schools.tests.factories import GradeLevelFactory, SchoolYearFactory
from homeschool.students.models import Coursework, Enrollment, Grade, ... | homeschool/students/tests/test_views.py | from django.contrib.messages import get_messages
from homeschool.courses.tests.factories import (
CourseFactory,
CourseTaskFactory,
GradedWorkFactory,
)
from homeschool.schools.tests.factories import GradeLevelFactory, SchoolYearFactory
from homeschool.students.models import Coursework, Enrollment, Grade, ... | 0.651355 | 0.40751 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .deeplab.batchnorm import SynchronizedBatchNorm2d
from .deeplab.aspp import build_aspp
from .deeplab.decoder import build_decoder
from .deeplab.backbone import build_backbone
from .preprocessing import Preprocessing
class CurbNetD(nn.Module):
... | src/network/curbnet_d.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .deeplab.batchnorm import SynchronizedBatchNorm2d
from .deeplab.aspp import build_aspp
from .deeplab.decoder import build_decoder
from .deeplab.backbone import build_backbone
from .preprocessing import Preprocessing
class CurbNetD(nn.Module):
... | 0.906782 | 0.373904 |
import re
import os
import argparse
# parse input
parser = argparse.ArgumentParser()
parser.add_argument('-i','--input_featurecounts', type=str,
help='Path to file output from featureCounts program.',
required = True)
parser.add_argument('-b','--barcodes', type=str,
help='Path to Cell Ranger f... | subset_cells.py |
import re
import os
import argparse
# parse input
parser = argparse.ArgumentParser()
parser.add_argument('-i','--input_featurecounts', type=str,
help='Path to file output from featureCounts program.',
required = True)
parser.add_argument('-b','--barcodes', type=str,
help='Path to Cell Ranger f... | 0.180865 | 0.090374 |
import argparse
import numpy as np
import time
import pickle
import random
import tensorflow as tf
import utils.dataset as dataset
import utils.clicks as clk
import utils.nnmodel as nn
import utils.optimization as opt
import utils.evaluation as evl
parser = argparse.ArgumentParser()
# parser.add_argument("model_fil... | pretrained_run.py |
import argparse
import numpy as np
import time
import pickle
import random
import tensorflow as tf
import utils.dataset as dataset
import utils.clicks as clk
import utils.nnmodel as nn
import utils.optimization as opt
import utils.evaluation as evl
parser = argparse.ArgumentParser()
# parser.add_argument("model_fil... | 0.52683 | 0.148602 |
import os
import ast
import tempfile
from fabfile.config import *
from distutils.version import LooseVersion
def copy_pkg(tgt_host, pkg_file):
with settings(host_string = tgt_host):
put(pkg_file, use_sudo=True)
#end _copy_pkg
def install_pkg(tgt_host, pkg_file):
with settings(host_string = tgt_host):... | fabfile/utils/fabos.py | import os
import ast
import tempfile
from fabfile.config import *
from distutils.version import LooseVersion
def copy_pkg(tgt_host, pkg_file):
with settings(host_string = tgt_host):
put(pkg_file, use_sudo=True)
#end _copy_pkg
def install_pkg(tgt_host, pkg_file):
with settings(host_string = tgt_host):... | 0.109765 | 0.079317 |
import logging
from odoo import api, models, _
from odoo.addons.wxwork_api.api.corp_api import CorpApi, CORP_API_TYPE
from odoo.addons.wxwork_api.api.abstract_api import ApiException
from odoo.addons.wxwork_api.api.error_code import Errcode
from datetime import datetime, timedelta
import pytz
_logger = logging.getLo... | wxwork_message/models/wxwork_message_api.py |
import logging
from odoo import api, models, _
from odoo.addons.wxwork_api.api.corp_api import CorpApi, CORP_API_TYPE
from odoo.addons.wxwork_api.api.abstract_api import ApiException
from odoo.addons.wxwork_api.api.error_code import Errcode
from datetime import datetime, timedelta
import pytz
_logger = logging.getLo... | 0.287968 | 0.09277 |
class Solution(object):
def crackSafe(self, n, k):
"""
:type n: int
:type k: int
:rtype: str
"""
M = k**(n-1)
P = [q*k+i for i in xrange(k) for q in xrange(M)] # rotate: i*k^(n-1) + q => q*k + i
result = [str(k-1)]*(n-1)
for i in xrange(k**n)... | Algo and DSA/LeetCode-Solutions-master/Python/cracking-the-safe.py |
class Solution(object):
def crackSafe(self, n, k):
"""
:type n: int
:type k: int
:rtype: str
"""
M = k**(n-1)
P = [q*k+i for i in xrange(k) for q in xrange(M)] # rotate: i*k^(n-1) + q => q*k + i
result = [str(k-1)]*(n-1)
for i in xrange(k**n)... | 0.701713 | 0.345492 |
import unittest
from graphql.type import GraphQLList
from graphql.utilities import print_schema
from graphql.validation import validate
from ..ast_manipulation import safe_parse_graphql
from ..macros import get_schema_for_macro_definition, get_schema_with_macros
from ..macros.macro_edge.directives import (
DIRECT... | graphql_compiler/tests/test_macro_schema.py | import unittest
from graphql.type import GraphQLList
from graphql.utilities import print_schema
from graphql.validation import validate
from ..ast_manipulation import safe_parse_graphql
from ..macros import get_schema_for_macro_definition, get_schema_with_macros
from ..macros.macro_edge.directives import (
DIRECT... | 0.519765 | 0.34414 |
import numpy as np
from typing import Tuple
from IMLearn.metalearners.adaboost import AdaBoost
from IMLearn.learners.classifiers import DecisionStump
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
def generate_data(n: int, noise_ratio: float) -> Tuple[np.ndarray, np.n... | exercises/adaboost_scenario.py | import numpy as np
from typing import Tuple
from IMLearn.metalearners.adaboost import AdaBoost
from IMLearn.learners.classifiers import DecisionStump
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
def generate_data(n: int, noise_ratio: float) -> Tuple[np.ndarray, np.n... | 0.928979 | 0.662476 |
UVISfilters = """<option VALUE="F218W">F218W (ISM feature)
<option VALUE="F200LP">F200LP (Clear)
<option VALUE="F225W">F225W (UV)
<option VALUE="F275W">F275W (UV)
<option VALUE="F300X">F300X (Long Pass)
<option VALUE="F336W">F336W (U)
... | stellarpop/filters/createWFC3/make_cl.py | UVISfilters = """<option VALUE="F218W">F218W (ISM feature)
<option VALUE="F200LP">F200LP (Clear)
<option VALUE="F225W">F225W (UV)
<option VALUE="F275W">F275W (UV)
<option VALUE="F300X">F300X (Long Pass)
<option VALUE="F336W">F336W (U)
... | 0.413596 | 0.126461 |
import tensorflow as tf
import tf_utils
class ActorNetwork(object):
def __init__(self, state_size, action_size, lr, n_h1=400, n_h2=300, tau=0.001):
self.state_size = state_size
self.action_size = action_size
self.optimizer = tf.train.AdamOptimizer(lr)
self.tau = tau
self.n_h1 = n_h1
sel... | ddpg/actor.py |
import tensorflow as tf
import tf_utils
class ActorNetwork(object):
def __init__(self, state_size, action_size, lr, n_h1=400, n_h2=300, tau=0.001):
self.state_size = state_size
self.action_size = action_size
self.optimizer = tf.train.AdamOptimizer(lr)
self.tau = tau
self.n_h1 = n_h1
sel... | 0.492188 | 0.212457 |
import logging
logger = logging.getLogger(__name__)
class Harmony(object):
# numeric representation of the Circle of 5ths.
HARMONY = {
'G': 1,
'D': 2,
'A': 3,
'E': 4,
'B': 5,
'F#': 6,
'Gb': 6,
'Db': 7,
'C#': 7,
'Ab': 8,
'... | harmonic_shuffle/harmony.py | import logging
logger = logging.getLogger(__name__)
class Harmony(object):
# numeric representation of the Circle of 5ths.
HARMONY = {
'G': 1,
'D': 2,
'A': 3,
'E': 4,
'B': 5,
'F#': 6,
'Gb': 6,
'Db': 7,
'C#': 7,
'Ab': 8,
'... | 0.790369 | 0.243642 |
from __future__ import absolute_import
from bigmler.tests.world import (world, common_setup_module,
common_teardown_module, teardown_class)
import bigmler.tests.basic_tst_prediction_steps as test_pred
import bigmler.tests.basic_batch_tst_prediction_steps as test_batch_pred
import big... | bigmler/tests/test_02_batch_predictions.py | from __future__ import absolute_import
from bigmler.tests.world import (world, common_setup_module,
common_teardown_module, teardown_class)
import bigmler.tests.basic_tst_prediction_steps as test_pred
import bigmler.tests.basic_batch_tst_prediction_steps as test_batch_pred
import big... | 0.598782 | 0.407864 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import capslayer as cl
import tensorflow as tf
from config import cfg
class Model(object):
def __init__(self, height, width, channels, num_label):
self.height = height
... | models/baseline.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import capslayer as cl
import tensorflow as tf
from config import cfg
class Model(object):
def __init__(self, height, width, channels, num_label):
self.height = height
... | 0.865309 | 0.255349 |
import json
import logging
import re
from ..utils.crawler import Crawler
logger = logging.getLogger(__name__)
search_url = 'https://wordexcerpt.com/?s=%s&post_type=wp-manga'
class WordExcerptCrawler(Crawler):
base_url = [
'https://wordexcerpt.com/',
'https://wordexcerpt.org/'
]
def s... | lncrawl/sources/wordexcerpt.py | import json
import logging
import re
from ..utils.crawler import Crawler
logger = logging.getLogger(__name__)
search_url = 'https://wordexcerpt.com/?s=%s&post_type=wp-manga'
class WordExcerptCrawler(Crawler):
base_url = [
'https://wordexcerpt.com/',
'https://wordexcerpt.org/'
]
def s... | 0.137822 | 0.095983 |
from typing import Optional
from PySide2.QtCore import Qt
from PySide2.QtWidgets import QWidget, QVBoxLayout, QLineEdit, QTreeWidget, QTreeWidgetItem, QPushButton
from angr.analyses.decompiler.decompilation_options import options as dec_options
from angr.analyses.decompiler.optimization_passes import get_optimization... | angrmanagement/ui/widgets/qdecomp_options.py | from typing import Optional
from PySide2.QtCore import Qt
from PySide2.QtWidgets import QWidget, QVBoxLayout, QLineEdit, QTreeWidget, QTreeWidgetItem, QPushButton
from angr.analyses.decompiler.decompilation_options import options as dec_options
from angr.analyses.decompiler.optimization_passes import get_optimization... | 0.771456 | 0.10581 |
from __future__ import absolute_import
from __future__ import print_function
import re
# Verilog Signal Type Checker
def isType(termtype, matchtype):
for t in termtype:
if t == matchtype:
return True
return False
def isInput(termtype):
return isType(termtype, 'Input')
def isOutput(... | src/pyverilog/utils/signaltype.py | from __future__ import absolute_import
from __future__ import print_function
import re
# Verilog Signal Type Checker
def isType(termtype, matchtype):
for t in termtype:
if t == matchtype:
return True
return False
def isInput(termtype):
return isType(termtype, 'Input')
def isOutput(... | 0.552178 | 0.251513 |
from abc import ABC
from typing import Any, Optional, Protocol, Dict, List
from neighborly.core.ecs import Component, GameObject
from neighborly.core.rng import IRandNumGenerator
from neighborly.core.utils.tracery import set_grammar_rng
class AbstractFactory(ABC):
"""Abstract class for factory instances
Att... | src/neighborly/core/engine.py | from abc import ABC
from typing import Any, Optional, Protocol, Dict, List
from neighborly.core.ecs import Component, GameObject
from neighborly.core.rng import IRandNumGenerator
from neighborly.core.utils.tracery import set_grammar_rng
class AbstractFactory(ABC):
"""Abstract class for factory instances
Att... | 0.930553 | 0.338419 |
import pytest
from chispa import assert_df_equality
from cishouseholds.derive import assign_from_lookup
@pytest.fixture
def expected_df(spark_session):
return spark_session.createDataFrame(
data=[
("No", "No", 0),
("Yes", "No", 3),
("Yes", "Yes", 1),
("Yes"... | tests/derive/test_assign_from_lookup.py | import pytest
from chispa import assert_df_equality
from cishouseholds.derive import assign_from_lookup
@pytest.fixture
def expected_df(spark_session):
return spark_session.createDataFrame(
data=[
("No", "No", 0),
("Yes", "No", 3),
("Yes", "Yes", 1),
("Yes"... | 0.626353 | 0.583767 |
import sys
sys.path.insert(0, '/opt/project')
import os
import sys
import torch
import logging
import torchaudio
import speechbrain as sb
from tqdm.contrib import tqdm
from hyperpyyaml import load_hyperpyyaml
from speechbrain.utils.metric_stats import EER, minDCF
from speechbrain.utils.data_utils import download_file... | recipes/VoxCeleb12/SpeakerRec/speaker_verification_cosine.py | import sys
sys.path.insert(0, '/opt/project')
import os
import sys
import torch
import logging
import torchaudio
import speechbrain as sb
from tqdm.contrib import tqdm
from hyperpyyaml import load_hyperpyyaml
from speechbrain.utils.metric_stats import EER, minDCF
from speechbrain.utils.data_utils import download_file... | 0.622918 | 0.274753 |
import ConfigParser
import argparse
import calc_price
import cctools
import datetime
import itertools
import logging
import notify_send_handler
import os
import reportlab.lib # sudo apt-get install python-reportlab
import reportlab.platypus
# Best reportlab reference is the ReportLab User's Guide.
# Convenience cons... | gen-price-list.py | import ConfigParser
import argparse
import calc_price
import cctools
import datetime
import itertools
import logging
import notify_send_handler
import os
import reportlab.lib # sudo apt-get install python-reportlab
import reportlab.platypus
# Best reportlab reference is the ReportLab User's Guide.
# Convenience cons... | 0.515376 | 0.143548 |
from bentoml.saved_bundle import load_bento_service_metadata
from sagemaker.lambda_function import LAMBDA_FUNCION_CODE
def gen_model(model_name, image_tag, timeout, num_of_workers):
"""
Generates the Sagemaker model that will be loaded to the endpoint instances.
"""
model = {
"SagemakerModel"... | sagemaker/generate_resources.py | from bentoml.saved_bundle import load_bento_service_metadata
from sagemaker.lambda_function import LAMBDA_FUNCION_CODE
def gen_model(model_name, image_tag, timeout, num_of_workers):
"""
Generates the Sagemaker model that will be loaded to the endpoint instances.
"""
model = {
"SagemakerModel"... | 0.615666 | 0.276092 |
import sys #Adding parameter
import requests #Line notify requests
import datetime #Catch the time
from pathlib import Path #Get the file path
from LunarSolarConverter import LunarSolarConverter #Transform Solar calendar to Lunar calendar
import random #Random pick picture
stat = sys.argv[1]
HBD = ['4-1', '8-7','10-21... | Message_Notification/Code/Line_Greet.py | import sys #Adding parameter
import requests #Line notify requests
import datetime #Catch the time
from pathlib import Path #Get the file path
from LunarSolarConverter import LunarSolarConverter #Transform Solar calendar to Lunar calendar
import random #Random pick picture
stat = sys.argv[1]
HBD = ['4-1', '8-7','10-21... | 0.107701 | 0.238816 |
from spack import *
class Mxnet(MakefilePackage):
"""MXNet is a deep learning framework
designed for both efficiency and flexibility."""
homepage = "http://mxnet.io"
url = "https://github.com/apache/incubator-mxnet/archive/0.10.0.post2.tar.gz"
version('1.3.0', sha256='c00d6fbb2947144ce36c8... | var/spack/repos/builtin/packages/mxnet/package.py |
from spack import *
class Mxnet(MakefilePackage):
"""MXNet is a deep learning framework
designed for both efficiency and flexibility."""
homepage = "http://mxnet.io"
url = "https://github.com/apache/incubator-mxnet/archive/0.10.0.post2.tar.gz"
version('1.3.0', sha256='c00d6fbb2947144ce36c8... | 0.699357 | 0.099164 |
"""PID Base Provider."""
from flask_babelex import lazy_gettext as _
from invenio_pidstore.errors import PIDDoesNotExistError
from invenio_pidstore.models import PersistentIdentifier, PIDStatus
from sqlalchemy.orm.exc import NoResultFound
class BaseClient:
"""PID Client base class."""
def __init__(self, nam... | invenio_rdm_records/services/pids/providers/base.py |
"""PID Base Provider."""
from flask_babelex import lazy_gettext as _
from invenio_pidstore.errors import PIDDoesNotExistError
from invenio_pidstore.models import PersistentIdentifier, PIDStatus
from sqlalchemy.orm.exc import NoResultFound
class BaseClient:
"""PID Client base class."""
def __init__(self, nam... | 0.903318 | 0.182772 |
from typing import List, Optional
from ....models.models import AgendaItem
from ....shared.exceptions import ActionException
from ....shared.filters import FilterOperator
from ....shared.patterns import FullQualifiedId
from ....shared.schema import id_list_schema
from ...generics.update import UpdateAction
from ...mix... | openslides_backend/action/actions/agenda_item/assign.py | from typing import List, Optional
from ....models.models import AgendaItem
from ....shared.exceptions import ActionException
from ....shared.filters import FilterOperator
from ....shared.patterns import FullQualifiedId
from ....shared.schema import id_list_schema
from ...generics.update import UpdateAction
from ...mix... | 0.81372 | 0.226228 |
from __future__ import (
absolute_import, division, print_function, unicode_literals
)
import pytest
from docx.enum.style import WD_STYLE_TYPE
from docx.styles.style import (
BaseStyle, _CharacterStyle, _ParagraphStyle, _NumberingStyle,
StyleFactory, _TableStyle
)
from docx.text.font import Font
from docx... | tests/styles/test_style.py | from __future__ import (
absolute_import, division, print_function, unicode_literals
)
import pytest
from docx.enum.style import WD_STYLE_TYPE
from docx.styles.style import (
BaseStyle, _CharacterStyle, _ParagraphStyle, _NumberingStyle,
StyleFactory, _TableStyle
)
from docx.text.font import Font
from docx... | 0.698227 | 0.302008 |
import signal
from unittest.mock import patch
from pytest import raises
from entrypoint.dumb_init import (
SignalRewrites,
SignalIgnores,
forward_signal,
handle_signal,
init,
)
def test_rewrites_invalid_names():
"""SignalRewrites raise an error if invalid signal names given."""
rewrites =... | tests/dumb_init_test.py |
import signal
from unittest.mock import patch
from pytest import raises
from entrypoint.dumb_init import (
SignalRewrites,
SignalIgnores,
forward_signal,
handle_signal,
init,
)
def test_rewrites_invalid_names():
"""SignalRewrites raise an error if invalid signal names given."""
rewrites =... | 0.78037 | 0.667378 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
from environment_model.mini_pacman.model.basic_blocks import BasicBlock
from model_helpers.flatten import Flatten
from model_helpers.model_initialization import xavier_weights_init
class MiniPacmanEnvModelClassLabel... | environment_model/mini_pacman/model/env_model_label.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
from environment_model.mini_pacman.model.basic_blocks import BasicBlock
from model_helpers.flatten import Flatten
from model_helpers.model_initialization import xavier_weights_init
class MiniPacmanEnvModelClassLabel... | 0.899606 | 0.492066 |
from __future__ import print_function, unicode_literals
from PyInquirer import prompt, print_json
from tracra_export import writeMails
from mailbox import MailboxAnalyzeObject
from oauth_utils import openOauthWebsite, generateOauthString
import pandas as pd
import os, sys
from multiprocessing import freeze_support
cla... | tracra_altmain.py | from __future__ import print_function, unicode_literals
from PyInquirer import prompt, print_json
from tracra_export import writeMails
from mailbox import MailboxAnalyzeObject
from oauth_utils import openOauthWebsite, generateOauthString
import pandas as pd
import os, sys
from multiprocessing import freeze_support
cla... | 0.231701 | 0.160463 |
import time
import pytest
from blacksheep.cookies import parse_cookie
from blacksheep.messages import Request
from blacksheep.server.responses import text
from blacksheep.sessions import JSONSerializer, Session, SessionMiddleware
from blacksheep.sessions.crypto import FernetEncryptor
from cryptography.fernet import Fe... | tests/test_sessions.py | import time
import pytest
from blacksheep.cookies import parse_cookie
from blacksheep.messages import Request
from blacksheep.server.responses import text
from blacksheep.sessions import JSONSerializer, Session, SessionMiddleware
from blacksheep.sessions.crypto import FernetEncryptor
from cryptography.fernet import Fe... | 0.656108 | 0.546315 |
import numpy as np
import pandas as pd
from functools import wraps
from multiprocessing.pool import Pool
from . import meta
def pass_through_func():
return {}
def get_all_dataset_stuff(dataset_name):
funcs = meta.get_funcs_for_dataset(dataset_name, globals())
# we call these now
read_csv_kwargs = ... | pydob/pydob/wrangle.py | import numpy as np
import pandas as pd
from functools import wraps
from multiprocessing.pool import Pool
from . import meta
def pass_through_func():
return {}
def get_all_dataset_stuff(dataset_name):
funcs = meta.get_funcs_for_dataset(dataset_name, globals())
# we call these now
read_csv_kwargs = ... | 0.51879 | 0.343727 |
import numpy as np
from .spherical_harmonics import SphericalHarmonics
class Grid(object):
def __init__(self, step=None, shape=None, center=None):
"""
returns the rectangular uniform (in each dimension) grid
with the midpoint (center of mass) at
`center`, the cell diagonal `step... | bem/grid.py |
import numpy as np
from .spherical_harmonics import SphericalHarmonics
class Grid(object):
def __init__(self, step=None, shape=None, center=None):
"""
returns the rectangular uniform (in each dimension) grid
with the midpoint (center of mass) at
`center`, the cell diagonal `step... | 0.951333 | 0.674281 |
from functools import wraps
from flask import Flask, render_template, request, redirect, session, jsonify
from SPARQLWrapper import SPARQLWrapper, JSON
from flask_mail import Mail, Message
import requests
import re
app = Flask(__name__)
app.secret_key = b'\<KEY>'
mail= Mail(app)
app.config['MAIL_SERVER']... | main.py | from functools import wraps
from flask import Flask, render_template, request, redirect, session, jsonify
from SPARQLWrapper import SPARQLWrapper, JSON
from flask_mail import Mail, Message
import requests
import re
app = Flask(__name__)
app.secret_key = b'\<KEY>'
mail= Mail(app)
app.config['MAIL_SERVER']... | 0.257765 | 0.056757 |
import random
colors = ["black", "blue", "green", "red", "yellow", "white"]
def set_master_code():
return [get_random_color() for i in range(0,4)]
def get_random_color():
return colors[random.randint(0, 5)]
def code_breaker_play(master_code, player_code):
play_feedback = []
for i in range(0,4):
... | codebreaker.py | import random
colors = ["black", "blue", "green", "red", "yellow", "white"]
def set_master_code():
return [get_random_color() for i in range(0,4)]
def get_random_color():
return colors[random.randint(0, 5)]
def code_breaker_play(master_code, player_code):
play_feedback = []
for i in range(0,4):
... | 0.26341 | 0.176689 |
import csv
import cv2
import numpy as np
lines = []
with open('/Udacity/driving_log.csv') as csvfile:
reader = csv.reader(csvfile)
for line in reader:
lines.append(line)
images = []
measurements = []
n = 0
for line in lines:
if n > 0:
source_path = line[0]
filename = sou... | model.py | import csv
import cv2
import numpy as np
lines = []
with open('/Udacity/driving_log.csv') as csvfile:
reader = csv.reader(csvfile)
for line in reader:
lines.append(line)
images = []
measurements = []
n = 0
for line in lines:
if n > 0:
source_path = line[0]
filename = sou... | 0.537527 | 0.277589 |
import logging
import random
from . import formulas
from .slipnet import slipnet
from .workspace import workspace
from .workspace_object import WorkspaceObject
class Group(WorkspaceObject):
# pylint: disable=too-many-instance-attributes
def __init__(
self, string, group_category, direction_category, ... | copycat/group.py | import logging
import random
from . import formulas
from .slipnet import slipnet
from .workspace import workspace
from .workspace_object import WorkspaceObject
class Group(WorkspaceObject):
# pylint: disable=too-many-instance-attributes
def __init__(
self, string, group_category, direction_category, ... | 0.556159 | 0.154887 |
import AnimatedProp
from direct.actor import Actor
from direct.interval.IntervalGlobal import *
from toontown.effects.Splash import *
from toontown.effects.Ripples import *
import random
class FishAnimatedProp(AnimatedProp.AnimatedProp):
def __init__(self, node):
AnimatedProp.AnimatedProp.__init__(self, n... | toontown/hood/FishAnimatedProp.py | import AnimatedProp
from direct.actor import Actor
from direct.interval.IntervalGlobal import *
from toontown.effects.Splash import *
from toontown.effects.Ripples import *
import random
class FishAnimatedProp(AnimatedProp.AnimatedProp):
def __init__(self, node):
AnimatedProp.AnimatedProp.__init__(self, n... | 0.444324 | 0.138637 |
import os
from Weather import Weather
from TimeCompare import TimeCompare
import SunTimes
from SendMail import SendMail
from MiningState import MiningState
import psutil
from ConfigController import ConfigController
import sunmine_logger
import datetime
config = ConfigController()
send_mail = SendMail()
logger = sunm... | main.py | import os
from Weather import Weather
from TimeCompare import TimeCompare
import SunTimes
from SendMail import SendMail
from MiningState import MiningState
import psutil
from ConfigController import ConfigController
import sunmine_logger
import datetime
config = ConfigController()
send_mail = SendMail()
logger = sunm... | 0.20091 | 0.059047 |
import collections
import os
import subprocess
import numpy as np
from mlperf_logging.mllog import constants
from mlperf_logging import mllog
class MPIWrapper(object):
def __init__(self):
self.comm = None
self.MPI = None
def get_comm(self):
if self.comm is None:
import mpi4... | Inspur/benchmarks/resnet/implementations/mxnet/mlperf_log_utils.py | import collections
import os
import subprocess
import numpy as np
from mlperf_logging.mllog import constants
from mlperf_logging import mllog
class MPIWrapper(object):
def __init__(self):
self.comm = None
self.MPI = None
def get_comm(self):
if self.comm is None:
import mpi4... | 0.436622 | 0.148417 |
import inspect
import functools
import sys
import weakref
import re
from libmirheo import *
__all__ = ["version", "tools"]
# Global variable for the mirheo coordination class
# Used in decorators to access compute task status
# This variable made a weak reference to not prevent
# cleanup of the simulation
__coordin... | mirheo/__init__.py |
import inspect
import functools
import sys
import weakref
import re
from libmirheo import *
__all__ = ["version", "tools"]
# Global variable for the mirheo coordination class
# Used in decorators to access compute task status
# This variable made a weak reference to not prevent
# cleanup of the simulation
__coordin... | 0.605099 | 0.275093 |
import torch
import argparse
# ----- Parser -----
def parser():
PARSER = argparse.ArgumentParser(description='Training parameters.')
# Dataset
PARSER.add_argument('--dataset', default='CelebA', type=str,
choices=['CIFAR10', 'CelebA', 'Imagenette', 'ImageNet32', 'ImageNet64'],
... | src/utils/args.py | import torch
import argparse
# ----- Parser -----
def parser():
PARSER = argparse.ArgumentParser(description='Training parameters.')
# Dataset
PARSER.add_argument('--dataset', default='CelebA', type=str,
choices=['CIFAR10', 'CelebA', 'Imagenette', 'ImageNet32', 'ImageNet64'],
... | 0.714528 | 0.121842 |
''' Автор ArtyLa '''
import os, sys, re, logging
import requests
import store
icon = '789C73F235636100033320D600620128666450804840E591C1FFFFFF071CCF4C6320099F011277EFDE255B3FCC0C4AF48330797E35A6BA7E505880FC43AEFBC9D14B49F8E18E3F630AD30FA5FA49F1C34C0AC30FA19F9CF843D64F090600F649FC19'
login_url = 'https://www.si... | plugin/sipnet.py | ''' Автор ArtyLa '''
import os, sys, re, logging
import requests
import store
icon = '789C73F235636100033320D600620128666450804840E591C1FFFFFF071CCF4C6320099F011277EFDE255B3FCC0C4AF48330797E35A6BA7E505880FC43AEFBC9D14B49F8E18E3F630AD30FA5FA49F1C34C0AC30FA19F9CF843D64F090600F649FC19'
login_url = 'https://www.si... | 0.141104 | 0.116337 |
from .. import admin
from ..forms.preview_form import PreviewForm
from flask import render_template, redirect, url_for, flash
from ...models import Preview
from werkzeug.utils import secure_filename
from app.utils.alter_filename import change_filename
from ...models import db
from app import app
import os
from .decorat... | app/admin/views/preview.py | from .. import admin
from ..forms.preview_form import PreviewForm
from flask import render_template, redirect, url_for, flash
from ...models import Preview
from werkzeug.utils import secure_filename
from app.utils.alter_filename import change_filename
from ...models import db
from app import app
import os
from .decorat... | 0.250454 | 0.041057 |
from __future__ import absolute_import
import logging
import re
from contextlib import closing
import feedparser
import requests
from lxml import etree
from ._core import SimpleObject, DataSource, fetch_file, RemoteFetchException
from .compat import urljoin
DEFAULT_CONNECT_TIMEOUT_SECS = 100
_log = logging.getLogg... | fetch/http.py | from __future__ import absolute_import
import logging
import re
from contextlib import closing
import feedparser
import requests
from lxml import etree
from ._core import SimpleObject, DataSource, fetch_file, RemoteFetchException
from .compat import urljoin
DEFAULT_CONNECT_TIMEOUT_SECS = 100
_log = logging.getLogg... | 0.747892 | 0.074366 |
from cps import *
import math, random, time
DEBUG = 0
class GillespieChannel(AgentChannel):
""" Performs Gillespie SSA """
def __init__(self, propensity_fcn, stoich_list):
self.propensity_fcn = propensity_fcn
self.stoich_list = stoich_list
self.tau = None
self.mu = None
d... | examples/model_svd.py |
from cps import *
import math, random, time
DEBUG = 0
class GillespieChannel(AgentChannel):
""" Performs Gillespie SSA """
def __init__(self, propensity_fcn, stoich_list):
self.propensity_fcn = propensity_fcn
self.stoich_list = stoich_list
self.tau = None
self.mu = None
d... | 0.42179 | 0.275614 |
from ..expressions.core import Operator, Comparison
from ..expressions.variables import _BoolVarImpl
from ..expressions.utils import is_any_list
from .flatten_model import negated_normal
"""
Transformations regarding reification constraints.
There are three types of reification (BV=BoolVar, BE=BoolExpr):
- BV ... | cpmpy/transformations/reification.py | from ..expressions.core import Operator, Comparison
from ..expressions.variables import _BoolVarImpl
from ..expressions.utils import is_any_list
from .flatten_model import negated_normal
"""
Transformations regarding reification constraints.
There are three types of reification (BV=BoolVar, BE=BoolExpr):
- BV ... | 0.602179 | 0.330985 |
from __future__ import absolute_import, division, print_function, unicode_literals
import pytest
import sys
from tests import debug
from tests.debug import runners
# When debuggee exits, there's no guarantee currently that all "output" events have
# already been sent. To ensure that they are, all tests below must s... | tests/debugpy/test_output.py |
from __future__ import absolute_import, division, print_function, unicode_literals
import pytest
import sys
from tests import debug
from tests.debug import runners
# When debuggee exits, there's no guarantee currently that all "output" events have
# already been sent. To ensure that they are, all tests below must s... | 0.360151 | 0.358409 |
import pytest
from drig.networks import ResNet
from drig.config import ImageCast, Stride
from drig.networks import ResNet
def test_residual_slab(batch_norm_tensor):
filters = 64
residual_slab = ResNet.residual_slab(
batch_norm_tensor,
filters,
channel_index=-1,
clip=True,
)... | _tests/networks/res_net_test.py | import pytest
from drig.networks import ResNet
from drig.config import ImageCast, Stride
from drig.networks import ResNet
def test_residual_slab(batch_norm_tensor):
filters = 64
residual_slab = ResNet.residual_slab(
batch_norm_tensor,
filters,
channel_index=-1,
clip=True,
)... | 0.758689 | 0.465023 |
import asyncio
import typing
import discord
from discord.ext import commands
action_first = "\N{BLACK LEFT-POINTING DOUBLE TRIANGLE WITH VERTICAL BAR}"
action_previous = "\N{BLACK LEFT-POINTING TRIANGLE}"
action_next = "\N{BLACK RIGHT-POINTING TRIANGLE}"
action_last = "\N{BLACK RIGHT-POINTING DOUBLE TRIANGLE WITH VER... | bot/utils/paginators.py | import asyncio
import typing
import discord
from discord.ext import commands
action_first = "\N{BLACK LEFT-POINTING DOUBLE TRIANGLE WITH VERTICAL BAR}"
action_previous = "\N{BLACK LEFT-POINTING TRIANGLE}"
action_next = "\N{BLACK RIGHT-POINTING TRIANGLE}"
action_last = "\N{BLACK RIGHT-POINTING DOUBLE TRIANGLE WITH VER... | 0.370112 | 0.106458 |
from scapy.all import *
import time
import csv
import datetime
import configparser
import threading
import queue
import ctypes
import sys
#----------------------Recuperation des infos pour la config reseau
list_lanData = []
with open('lan_config.txt') as txtfile:
data_lan = txtfile.readlines()
for row in data_lan:
... | test_scapy.py | from scapy.all import *
import time
import csv
import datetime
import configparser
import threading
import queue
import ctypes
import sys
#----------------------Recuperation des infos pour la config reseau
list_lanData = []
with open('lan_config.txt') as txtfile:
data_lan = txtfile.readlines()
for row in data_lan:
... | 0.174094 | 0.155655 |
from urllib2 import urlopen, URLError
from bs4 import BeautifulSoup
from os.path import join, dirname, basename
from os import makedirs
from errno import EEXIST
from threading import Thread
from Queue import Queue
from re import compile, sub
from sys import stderr, stdout
from itertools import takewhile
import argparse... | tools/arm_pack_manager/__init__.py | from urllib2 import urlopen, URLError
from bs4 import BeautifulSoup
from os.path import join, dirname, basename
from os import makedirs
from errno import EEXIST
from threading import Thread
from Queue import Queue
from re import compile, sub
from sys import stderr, stdout
from itertools import takewhile
import argparse... | 0.428114 | 0.140779 |
from __future__ import print_function
import os
import sys
REDISBOARD_SOCKET_CONNECT_TIMEOUT = 5
REDISBOARD_SOCKET_TIMEOUT = 5
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
}
}
SESSION_ENGINE = 'django.contrib.sessions.backends.db'
DATABASES = {
'default': {
... | run_redisboard.py | from __future__ import print_function
import os
import sys
REDISBOARD_SOCKET_CONNECT_TIMEOUT = 5
REDISBOARD_SOCKET_TIMEOUT = 5
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
}
}
SESSION_ENGINE = 'django.contrib.sessions.backends.db'
DATABASES = {
'default': {
... | 0.252292 | 0.07056 |
def localization(self):
""" English internationalization """
self.name = "FactoQuizBot"
self.dateTimeFormat = "%d/%m/%Y à %H:%M:%S"
# Support command ==============================================
self.cmdHelp_details = "= Command List =\n\n[Use {0}help <commandname> for details]\n"
self.cmdHe... | language/en.py | def localization(self):
""" English internationalization """
self.name = "FactoQuizBot"
self.dateTimeFormat = "%d/%m/%Y à %H:%M:%S"
# Support command ==============================================
self.cmdHelp_details = "= Command List =\n\n[Use {0}help <commandname> for details]\n"
self.cmdHe... | 0.374219 | 0.105303 |
import subprocess, os, time, json, psutil
from browserstack.local_binary import LocalBinary
from browserstack.bserrors import BrowserStackLocalError
class Local:
def __init__(self, key=None, binary_path=None, **kwargs):
self.key = os.environ['BROWSERSTACK_ACCESS_KEY'] if 'BROWSERSTACK_ACCESS_KEY' in os.environ e... | browserstack/local.py | import subprocess, os, time, json, psutil
from browserstack.local_binary import LocalBinary
from browserstack.bserrors import BrowserStackLocalError
class Local:
def __init__(self, key=None, binary_path=None, **kwargs):
self.key = os.environ['BROWSERSTACK_ACCESS_KEY'] if 'BROWSERSTACK_ACCESS_KEY' in os.environ e... | 0.299822 | 0.071884 |
import unittest
from mopidy.mpd.exceptions import (
MpdAckError,
MpdNoCommand,
MpdNoExistError,
MpdNotImplemented,
MpdPermissionError,
MpdSystemError,
MpdUnknownCommand,
)
class MpdExceptionsTest(unittest.TestCase):
def test_mpd_not_implemented_is_a_mpd_ack_error(self):
try:
... | tests/mpd/test_exceptions.py | import unittest
from mopidy.mpd.exceptions import (
MpdAckError,
MpdNoCommand,
MpdNoExistError,
MpdNotImplemented,
MpdPermissionError,
MpdSystemError,
MpdUnknownCommand,
)
class MpdExceptionsTest(unittest.TestCase):
def test_mpd_not_implemented_is_a_mpd_ack_error(self):
try:
... | 0.44746 | 0.362264 |
from collections import Mapping, Set, Sequence
# dual python 2/3 compatability, inspired by the "six" library
string_types = (str, unicode) if str is bytes else (str, bytes)
iteritems = lambda mapping: getattr(mapping, 'iteritems', mapping.items)()
def objwalk(obj, path=(), memo=None):
if memo is None:
m... | recipes/Python/577982_Recursively_walk_Python_objects/recipe-577982.py | from collections import Mapping, Set, Sequence
# dual python 2/3 compatability, inspired by the "six" library
string_types = (str, unicode) if str is bytes else (str, bytes)
iteritems = lambda mapping: getattr(mapping, 'iteritems', mapping.items)()
def objwalk(obj, path=(), memo=None):
if memo is None:
m... | 0.779028 | 0.379378 |
from __future__ import print_function
import unittest
from mock import patch
from pedemath.vec2 import Vec2
class Vec2InitTestCase(unittest.TestCase):
"""Test Vec2's constructor."""
def test_members_are_set(self):
"""Ensure the x and y members are set."""
v = Vec2(5.0, 6.0)
self... | pedemath/tests/test_vec2.py |
from __future__ import print_function
import unittest
from mock import patch
from pedemath.vec2 import Vec2
class Vec2InitTestCase(unittest.TestCase):
"""Test Vec2's constructor."""
def test_members_are_set(self):
"""Ensure the x and y members are set."""
v = Vec2(5.0, 6.0)
self... | 0.907803 | 0.742212 |
import logging
import random
import texttable
try:
from . import (
ATEM, ATEM_IP, Camera, cameras, MidiNote, midi,
midi_to_pos, Pos, program_staging, randoms, standby_positions
)
except ImportError:
from __init__ import (
ATEM, ATEM_IP, Camera, cameras, MidiNote, midi,
midi_... | gracecam/main.py | import logging
import random
import texttable
try:
from . import (
ATEM, ATEM_IP, Camera, cameras, MidiNote, midi,
midi_to_pos, Pos, program_staging, randoms, standby_positions
)
except ImportError:
from __init__ import (
ATEM, ATEM_IP, Camera, cameras, MidiNote, midi,
midi_... | 0.654674 | 0.156652 |
from typing import Optional, List
from pytorch_transformers import (BertConfig,
BertModel,
BERT_PRETRAINED_MODEL_ARCHIVE_MAP,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP)
from nemo.backends.pytorch.nm import TrainableNM
from ... | collections/nemo_nlp/nemo_nlp/huggingface/bert.py | from typing import Optional, List
from pytorch_transformers import (BertConfig,
BertModel,
BERT_PRETRAINED_MODEL_ARCHIVE_MAP,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP)
from nemo.backends.pytorch.nm import TrainableNM
from ... | 0.950099 | 0.383237 |
import argparse
import datetime as dt
import signal
import sys
import socket
import platform
import threading
import time
from datetime import timedelta
from re import findall
from subprocess import check_output
from rpi_bad_power import new_under_voltage
import paho.mqtt.client as mqtt
import psutil
import pytz
import... | src/system_sensors.py | import argparse
import datetime as dt
import signal
import sys
import socket
import platform
import threading
import time
from datetime import timedelta
from re import findall
from subprocess import check_output
from rpi_bad_power import new_under_voltage
import paho.mqtt.client as mqtt
import psutil
import pytz
import... | 0.360264 | 0.103477 |
import toolbox
import logging
# Perform earthworks on a given lot, returns the height to start construction
def prepareLot(matrix, p, height_map, block):
areaScore = toolbox.getScoreArea_type4(height_map, p[2],p[3], p[4], p[5])
logging.info("Preparing lot {} with score {}".format(p, areaScore))
if areaScore != 0:... | Helper/Earthworks.py | import toolbox
import logging
# Perform earthworks on a given lot, returns the height to start construction
def prepareLot(matrix, p, height_map, block):
areaScore = toolbox.getScoreArea_type4(height_map, p[2],p[3], p[4], p[5])
logging.info("Preparing lot {} with score {}".format(p, areaScore))
if areaScore != 0:... | 0.421076 | 0.623835 |
import requests
import sys
from bs4 import BeautifulSoup
base_url = "https://en.wikipedia.org"
departure = "/wiki/J/22"
destination = "/wiki/Philosophy"
visited = [departure]
unwanted_elements = ["https", "http", "#", ".php",
":", "(disambiguation)", "wikimedia"]
def getting_to_philosophy():
... | getting_to_philosophy.py | import requests
import sys
from bs4 import BeautifulSoup
base_url = "https://en.wikipedia.org"
departure = "/wiki/J/22"
destination = "/wiki/Philosophy"
visited = [departure]
unwanted_elements = ["https", "http", "#", ".php",
":", "(disambiguation)", "wikimedia"]
def getting_to_philosophy():
... | 0.600305 | 0.428413 |
class MPC:
def __init__(self, params, logger, dtype, mvmt_model, trajgen, cost):
self.dtype = dtype
self.logger = logger
self.params = params
self.trajgen = trajgen
self.kinematics = mvmt_model
self.cost = cost
self.reset(init=True)
def reset(self, in... | mushr_rhc/mpc.py |
class MPC:
def __init__(self, params, logger, dtype, mvmt_model, trajgen, cost):
self.dtype = dtype
self.logger = logger
self.params = params
self.trajgen = trajgen
self.kinematics = mvmt_model
self.cost = cost
self.reset(init=True)
def reset(self, in... | 0.843251 | 0.251441 |
import yaml
import sys
import io
import os
import re
import hashlib
from functools import reduce
from flask import send_file
class Config(object):
def __init__(self):
self.dir = "/".join(sys.path[0].split("/")[:-2])
return None
def read_config(self, path):
"""
... | server/backend/app/classes/config.py |
import yaml
import sys
import io
import os
import re
import hashlib
from functools import reduce
from flask import send_file
class Config(object):
def __init__(self):
self.dir = "/".join(sys.path[0].split("/")[:-2])
return None
def read_config(self, path):
"""
... | 0.286868 | 0.087408 |
from __future__ import absolute_import, division, print_function
import cgi
import io
import re
import distutils.log
from distutils.command.check import check as _check
import six
from ..rst import render
# Regular expression used to capture and reformat doctuils warnings into
# something that a human can understa... | Libraries/Python/readme_renderer/v21.0/readme_renderer/integration/distutils.py | from __future__ import absolute_import, division, print_function
import cgi
import io
import re
import distutils.log
from distutils.command.check import check as _check
import six
from ..rst import render
# Regular expression used to capture and reformat doctuils warnings into
# something that a human can understa... | 0.785843 | 0.113187 |
from nintendo.nex import common
import logging
logger = logging.getLogger(__name__)
class DataStoreGetMetaParam(common.Structure):
def __init__(self):
super().__init__()
self.data_id = 0
self.persistence_target = PersistenceTarget()
self.result_option = 0
self.access_password = 0
def check_required(sel... | nintendo/nex/datastore.py |
from nintendo.nex import common
import logging
logger = logging.getLogger(__name__)
class DataStoreGetMetaParam(common.Structure):
def __init__(self):
super().__init__()
self.data_id = 0
self.persistence_target = PersistenceTarget()
self.result_option = 0
self.access_password = 0
def check_required(sel... | 0.382487 | 0.133443 |
import os
import tempfile
import zipfile
from abc import ABC, abstractmethod
from typing import Text, Dict, Any
from pathlib import Path
import oss2
from ai_flow.util.file_util.zip_file_util import make_dir_zipfile
class BlobManager(ABC):
"""
A BlobManager is responsible for uploading and downloading files a... | flink-ai-flow/ai_flow/project/blob_manager.py | import os
import tempfile
import zipfile
from abc import ABC, abstractmethod
from typing import Text, Dict, Any
from pathlib import Path
import oss2
from ai_flow.util.file_util.zip_file_util import make_dir_zipfile
class BlobManager(ABC):
"""
A BlobManager is responsible for uploading and downloading files a... | 0.715523 | 0.27583 |
import logging
from typing import Any
from typing import Dict
from typing import List
from typing import Union
# third party
import pandas as pd
# syft absolute
from syft import deserialize
from syft.core.common import UID
from syft.core.node.abstract.node import AbstractNodeClient
from syft.core.node.common.node_ser... | packages/syft/src/syft/core/node/common/client_manager/dataset_api.py | import logging
from typing import Any
from typing import Dict
from typing import List
from typing import Union
# third party
import pandas as pd
# syft absolute
from syft import deserialize
from syft.core.common import UID
from syft.core.node.abstract.node import AbstractNodeClient
from syft.core.node.common.node_ser... | 0.673084 | 0.11694 |
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals
)
import six
from math import ceil
from keras.models import Model
from keras.layers import (
Input,
Activation,
Dense,
Flatten
)
from keras.layers.convolutional import (
Conv3D,
AveragePooling3D,... | code/resnet3D.py | from __future__ import (
absolute_import,
division,
print_function,
unicode_literals
)
import six
from math import ceil
from keras.models import Model
from keras.layers import (
Input,
Activation,
Dense,
Flatten
)
from keras.layers.convolutional import (
Conv3D,
AveragePooling3D,... | 0.891622 | 0.448728 |
import datetime
import logging
import os
import pickle
import itertools
import numpy as np
_logger = logging.getLogger(__name__)
class DataLogWriter:
"""Serialization of snapshots."""
def __init__(self):
dirname = 'drivelogs'
timestr = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
... | pytocl/analysis.py | import datetime
import logging
import os
import pickle
import itertools
import numpy as np
_logger = logging.getLogger(__name__)
class DataLogWriter:
"""Serialization of snapshots."""
def __init__(self):
dirname = 'drivelogs'
timestr = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
... | 0.718693 | 0.102215 |
import smtplib
from email.message import EmailMessage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
from string import Template
import os
class Email(object):
"""Email Class"""
def __init__(self, host, port):
"""Set class att... | mail.py | import smtplib
from email.message import EmailMessage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
from string import Template
import os
class Email(object):
"""Email Class"""
def __init__(self, host, port):
"""Set class att... | 0.291787 | 0.073763 |
from __future__ import annotations
import dataclasses
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Iterable, List, Mapping, Optional, Tuple
from pants.backend.python.subsystems.python_native_code import PythonNativeCode
from pants.backend.python.util_rules import pex_enviro... | src/python/pants/backend/python/util_rules/pex_cli.py |
from __future__ import annotations
import dataclasses
import os
from dataclasses import dataclass
from pathlib import Path
from typing import Iterable, List, Mapping, Optional, Tuple
from pants.backend.python.subsystems.python_native_code import PythonNativeCode
from pants.backend.python.util_rules import pex_enviro... | 0.820972 | 0.186502 |
import logging
import os
import random
import string
from secrets import choice
from Cryptodome.Random.random import shuffle
PW_SPECIAL_CHARACTERS = '!@#$%()+;<>=?[]{}^.,'
def randomSample(sampleLength=0, sampleString=''):
sample = ''
use_secrets = False
try:
# Older version of Python (before... | keepercommander/generator.py | import logging
import os
import random
import string
from secrets import choice
from Cryptodome.Random.random import shuffle
PW_SPECIAL_CHARACTERS = '!@#$%()+;<>=?[]{}^.,'
def randomSample(sampleLength=0, sampleString=''):
sample = ''
use_secrets = False
try:
# Older version of Python (before... | 0.437583 | 0.17515 |
from embedding import Preprocessing_Embedding
import pandas as pd
from tensorflow.keras.callbacks import ReduceLROnPlateau,EarlyStopping
from sklearn.model_selection import train_test_split
import tensorflow as tf
def fit_embedding(path='clean_data.csv'):
""""Input : Path to the clean dataset
Outputs : Embedding mat... | model.py | from embedding import Preprocessing_Embedding
import pandas as pd
from tensorflow.keras.callbacks import ReduceLROnPlateau,EarlyStopping
from sklearn.model_selection import train_test_split
import tensorflow as tf
def fit_embedding(path='clean_data.csv'):
""""Input : Path to the clean dataset
Outputs : Embedding mat... | 0.861887 | 0.496216 |
from __future__ import print_function
import inspect
import traceback
import multiprocessing
import threading
import sys
try:
from . import LowLevel
from . import APIError
except Exception:
import LowLevel
import APIError
# For backwards compatibility
API = LowLevel
class _Command(object):
def ... | pynrfjprog/MultiAPI.py | from __future__ import print_function
import inspect
import traceback
import multiprocessing
import threading
import sys
try:
from . import LowLevel
from . import APIError
except Exception:
import LowLevel
import APIError
# For backwards compatibility
API = LowLevel
class _Command(object):
def ... | 0.592667 | 0.087136 |
import logging
from modules.andForensics.modules.utils.android_sqlite3 import SQLite3
from modules.andForensics.modules.utils.android_TSK import TSK
logger = logging.getLogger('andForensics')
class ImageInfo(object):
def extract_fs_information(case):
logger.info(' - File system information with TSK (lo... | modules/andForensics/modules/scanner/android_image_info_extractor.py | import logging
from modules.andForensics.modules.utils.android_sqlite3 import SQLite3
from modules.andForensics.modules.utils.android_TSK import TSK
logger = logging.getLogger('andForensics')
class ImageInfo(object):
def extract_fs_information(case):
logger.info(' - File system information with TSK (lo... | 0.179423 | 0.194215 |
import numpy as np
import cv2
import glob
import random
import math
import matplotlib.pyplot as plt
from ReadCameraModel import*
from mpl_toolkits.mplot3d import Axes3D
# Find skew matrix
def skew(imagePoint0,imagePoint1):
a = imagePoint0[0]
b = imagePoint0[1]
c = imagePoint0[2]
skew1 = np.array([[0,-... | src/visualOdometry.py | import numpy as np
import cv2
import glob
import random
import math
import matplotlib.pyplot as plt
from ReadCameraModel import*
from mpl_toolkits.mplot3d import Axes3D
# Find skew matrix
def skew(imagePoint0,imagePoint1):
a = imagePoint0[0]
b = imagePoint0[1]
c = imagePoint0[2]
skew1 = np.array([[0,-... | 0.486088 | 0.668326 |
import datetime
import os
import re
from functools import reduce
import geopandas as gpd
import pandas as pd
from osgeo import ogr
from shapely.ops import unary_union
"""
Statistical Units, Statistics Finland The material was downloaded from Statistics Finland's
interface service on 9 August 2019 with the licence CC... | elasticsearch-data-processing-scripts/dataLoader.py |
import datetime
import os
import re
from functools import reduce
import geopandas as gpd
import pandas as pd
from osgeo import ogr
from shapely.ops import unary_union
"""
Statistical Units, Statistics Finland The material was downloaded from Statistics Finland's
interface service on 9 August 2019 with the licence CC... | 0.47317 | 0.279208 |
import requests
import bs4
import datetime
import os
import json
import sys
def showall_jornais():
texto = "Os Jornais / revistas disponiveis são:\n" \
"1. <NAME>\n" \
"2. Jornal i\n" \
"3. Jornal de Notícias\n" \
"4. Público\n" \
"5. Diário ... | others/jornais.py | import requests
import bs4
import datetime
import os
import json
import sys
def showall_jornais():
texto = "Os Jornais / revistas disponiveis são:\n" \
"1. <NAME>\n" \
"2. Jornal i\n" \
"3. Jornal de Notícias\n" \
"4. Público\n" \
"5. Diário ... | 0.130272 | 0.116036 |
from __future__ import print_function, unicode_literals
import zulip
import chiron
class ZulipMessage(chiron.Message):
"""Chiron Zulip protocol class"""
def __init__(self, client, zulip_msg):
self._client = client
self._zulip = zulip_msg
def body(self):
return self._zulip['conte... | chiron_zulip.py |
from __future__ import print_function, unicode_literals
import zulip
import chiron
class ZulipMessage(chiron.Message):
"""Chiron Zulip protocol class"""
def __init__(self, client, zulip_msg):
self._client = client
self._zulip = zulip_msg
def body(self):
return self._zulip['conte... | 0.522446 | 0.114418 |
import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.utils.multiclass import unique_labels
class DataFrameUtils:
"""
utility functions for working with DataFrames
"""
TEST_DF = pd.Da... | lambdata_jwross24/df_utils.py | import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.utils.multiclass import unique_labels
class DataFrameUtils:
"""
utility functions for working with DataFrames
"""
TEST_DF = pd.Da... | 0.82308 | 0.575737 |
from django.shortcuts import render
from django.utils import timezone
from django.views.generic import (CreateView, FormView, ListView, UpdateView,
View)
from dss.Mixin import (FormJsonResponseMixin, JsonResponseMixin,
MultipleJsonResponseMixin)
from dss.Serializ... | user/views.py | from django.shortcuts import render
from django.utils import timezone
from django.views.generic import (CreateView, FormView, ListView, UpdateView,
View)
from dss.Mixin import (FormJsonResponseMixin, JsonResponseMixin,
MultipleJsonResponseMixin)
from dss.Serializ... | 0.414662 | 0.078008 |
from flask import Blueprint
from flask import flash
from flask import g
from flask import redirect
from flask import render_template
from flask import request
from flask import url_for
from werkzeug.exceptions import abort
from flask import session
from myapp.control.auth import login_required
from myapp.config.db impo... | myapp/control/dashboard.py | from flask import Blueprint
from flask import flash
from flask import g
from flask import redirect
from flask import render_template
from flask import request
from flask import url_for
from werkzeug.exceptions import abort
from flask import session
from myapp.control.auth import login_required
from myapp.config.db impo... | 0.405684 | 0.052814 |
# Pseudo Dual-Ported RAM
from migen import *
from litex.soc.interconnect import wishbone
"""
Pseudo Dual-Ported RAM that works similar to the original Apple ][ Woz design in
that CPU and Video display accesses are time division multiplexed. However,
the original memory ran with a 2MHz cycle giving 50% of the access... | hw/rtl/pdpspram.py |
# Pseudo Dual-Ported RAM
from migen import *
from litex.soc.interconnect import wishbone
"""
Pseudo Dual-Ported RAM that works similar to the original Apple ][ Woz design in
that CPU and Video display accesses are time division multiplexed. However,
the original memory ran with a 2MHz cycle giving 50% of the access... | 0.663015 | 0.476153 |
from __future__ import print_function, absolute_import
import os.path as osp
import numpy as np
import pdb
from glob import glob
import re
class DA(object):
def __init__(self, data_dir, source, target):
# source / target image root
self.source_images_dir = osp.join(data_dir, source)
self... | reid/datasets/domain_adaptation.py | from __future__ import print_function, absolute_import
import os.path as osp
import numpy as np
import pdb
from glob import glob
import re
class DA(object):
def __init__(self, data_dir, source, target):
# source / target image root
self.source_images_dir = osp.join(data_dir, source)
self... | 0.439747 | 0.129458 |
import tensorflow as tf
from utility.rl_loss import n_step_target
from utility.tf_utils import explained_variance
from algo.dqn.base import DQNBase, get_data_format, collect
class Agent(DQNBase):
@tf.function
def _learn(self, obs, action, reward, next_obs, discount, steps=1, IS_ratio=1):
next_action,... | algo/sac/agent.py | import tensorflow as tf
from utility.rl_loss import n_step_target
from utility.tf_utils import explained_variance
from algo.dqn.base import DQNBase, get_data_format, collect
class Agent(DQNBase):
@tf.function
def _learn(self, obs, action, reward, next_obs, discount, steps=1, IS_ratio=1):
next_action,... | 0.752286 | 0.222404 |