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 keras
import gin
@gin.configurable
def ResNet50(input_shape=None, pooling=None, classes=3):
"""Instantiates the ResNet50 architecture."""
img_input = keras.layers.Input(shape=input_shape)
x = keras.layers.ZeroPadding2D(padding=(3, 3), name='conv1_pad')(img_input)
x = keras.layers.Conv2D(... | cv_framework/model_definitions/ResNet50.py | import keras
import gin
@gin.configurable
def ResNet50(input_shape=None, pooling=None, classes=3):
"""Instantiates the ResNet50 architecture."""
img_input = keras.layers.Input(shape=input_shape)
x = keras.layers.ZeroPadding2D(padding=(3, 3), name='conv1_pad')(img_input)
x = keras.layers.Conv2D(... | 0.813424 | 0.450782 |
import os
import sys
def wrapper(content):
return """
platform :ios, '9.0'
inhibit_all_warnings!
use_frameworks!
plugin "cocoapods-binary"
target 'Binary' do
%s
end
""" % content
def save_to_podfile(text):
path = os.path.dirname(os.path.abspath(__file__))
path += "/Podfile"
file = open(path, "w+"... | test/change_podfile.py | import os
import sys
def wrapper(content):
return """
platform :ios, '9.0'
inhibit_all_warnings!
use_frameworks!
plugin "cocoapods-binary"
target 'Binary' do
%s
end
""" % content
def save_to_podfile(text):
path = os.path.dirname(os.path.abspath(__file__))
path += "/Podfile"
file = open(path, "w+"... | 0.252292 | 0.182571 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: ipa_sudocmdgroup
author: <NAME> (@Nosmoht)
short_descriptio... | venv/lib/python2.7/site-packages/ansible/modules/identity/ipa/ipa_sudocmdgroup.py |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: ipa_sudocmdgroup
author: <NAME> (@Nosmoht)
short_descriptio... | 0.590779 | 0.124293 |
import random
from collections import defaultdict
from string import letters
from lxml.builder import ElementMaker
from lxml import etree
def host_and_page(url):
""" Splits a `url` into the hostname and the rest of the url. """
url = url.split('//')[1]
parts = url.split('/')
host = parts[0]
page =... | yalign/utils.py | import random
from collections import defaultdict
from string import letters
from lxml.builder import ElementMaker
from lxml import etree
def host_and_page(url):
""" Splits a `url` into the hostname and the rest of the url. """
url = url.split('//')[1]
parts = url.split('/')
host = parts[0]
page =... | 0.602412 | 0.151059 |
from datetime import datetime
from decimal import Decimal
from django.contrib.postgres import fields as psql_fields
from django.db import models
import pytest
from avocato.exceptions import AvocatoError
from avocato.fields import IntField, MethodField
from avocato.validators import Length, OneOf
from avocato.vendors... | tests/avocato/vendors/test_django.py | from datetime import datetime
from decimal import Decimal
from django.contrib.postgres import fields as psql_fields
from django.db import models
import pytest
from avocato.exceptions import AvocatoError
from avocato.fields import IntField, MethodField
from avocato.validators import Length, OneOf
from avocato.vendors... | 0.644673 | 0.436442 |
URLS = {
# Issue comments
'GET_COMMENTS': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/',
'GET_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/%(comment_id)s/',
'CREATE_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comment... | bitbucket/issue_comment.py | URLS = {
# Issue comments
'GET_COMMENTS': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/',
'GET_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comments/%(comment_id)s/',
'CREATE_COMMENT': 'repositories/%(username)s/%(repo_slug)s/issues/%(issue_id)s/comment... | 0.45423 | 0.104432 |
''' plot tsdiffana parameters '''
from __future__ import absolute_import
import numpy as np
import nipy
from .timediff import time_slice_diffs
from nipy.externals.six import string_types
def plot_tsdiffs(results, axes=None):
''' Plotting routine for time series difference metrics
Requires matplotlib
P... | nipy/algorithms/diagnostics/tsdiffplot.py | ''' plot tsdiffana parameters '''
from __future__ import absolute_import
import numpy as np
import nipy
from .timediff import time_slice_diffs
from nipy.externals.six import string_types
def plot_tsdiffs(results, axes=None):
''' Plotting routine for time series difference metrics
Requires matplotlib
P... | 0.918957 | 0.600042 |
import elasticsearch
import curator
import os
import click
from click import testing as clicktest
from mock import patch, Mock
from . import CuratorTestCase
import logging
logger = logging.getLogger(__name__)
host, port = os.environ.get('TEST_ES_SERVER', 'localhost:9200').split(':')
port = int(port) if port else 920... | test/integration/test_cli_utils.py | import elasticsearch
import curator
import os
import click
from click import testing as clicktest
from mock import patch, Mock
from . import CuratorTestCase
import logging
logger = logging.getLogger(__name__)
host, port = os.environ.get('TEST_ES_SERVER', 'localhost:9200').split(':')
port = int(port) if port else 920... | 0.328206 | 0.138695 |
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3 ")
buf.write("U\4\2\t\2\4\3\t\... | ginaTareaParser.py | from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3 ")
buf.write("U\4\2\t\2\4\3\t\... | 0.261802 | 0.242845 |
from __future__ import print_function, division
import numpy
#fiducial setup uses these
from galpy.potential import MWPotential, vcirc, omegac, epifreq, verticalfreq
from galpy.actionAngle import actionAngleAdiabatic, actionAngleStaeckel
from galpy.df import quasiisothermaldf
aAA= actionAngleAdiabatic(pot=MWPotential,c... | tests/test_pv2qdf.py | from __future__ import print_function, division
import numpy
#fiducial setup uses these
from galpy.potential import MWPotential, vcirc, omegac, epifreq, verticalfreq
from galpy.actionAngle import actionAngleAdiabatic, actionAngleStaeckel
from galpy.df import quasiisothermaldf
aAA= actionAngleAdiabatic(pot=MWPotential,c... | 0.560253 | 0.410934 |
from oauthlib.common import Request
from oauthlib.oauth1 import (
SIGNATURE_HMAC_SHA1, SIGNATURE_HMAC_SHA256, SIGNATURE_PLAINTEXT,
SIGNATURE_RSA, SIGNATURE_TYPE_BODY, SIGNATURE_TYPE_QUERY,
)
from oauthlib.oauth1.rfc5849 import Client
from tests.unittest import TestCase
class ClientRealmTests(TestCase):
... | tests/oauth1/rfc5849/test_client.py | from oauthlib.common import Request
from oauthlib.oauth1 import (
SIGNATURE_HMAC_SHA1, SIGNATURE_HMAC_SHA256, SIGNATURE_PLAINTEXT,
SIGNATURE_RSA, SIGNATURE_TYPE_BODY, SIGNATURE_TYPE_QUERY,
)
from oauthlib.oauth1.rfc5849 import Client
from tests.unittest import TestCase
class ClientRealmTests(TestCase):
... | 0.615666 | 0.247072 |
# Copyright (C) 2016 Intel Corporation
# Released under the MIT license (see COPYING.MIT)
import signal
import unittest
from common import setup_sys_path, TestBase
setup_sys_path()
from oeqa.core.exception import OEQADependency
from oeqa.core.utils.test import getCaseMethod, getSuiteCasesNames, getSuiteCasesIDs
cl... | layers/poky/meta/lib/oeqa/core/tests/test_decorators.py |
# Copyright (C) 2016 Intel Corporation
# Released under the MIT license (see COPYING.MIT)
import signal
import unittest
from common import setup_sys_path, TestBase
setup_sys_path()
from oeqa.core.exception import OEQADependency
from oeqa.core.utils.test import getCaseMethod, getSuiteCasesNames, getSuiteCasesIDs
cl... | 0.592902 | 0.402744 |
import inspect
import ray
from ray.util.annotations import _is_annotated
IGNORE_PATHS = {
".impl.",
".backend.",
".experimental.",
".internal.",
".generated.",
".test_utils.",
".annotations.",
".deprecation",
}
def _fullname(attr):
"""Fully qualified name of an attribute."""
... | ci/lint/check_api_annotations.py |
import inspect
import ray
from ray.util.annotations import _is_annotated
IGNORE_PATHS = {
".impl.",
".backend.",
".experimental.",
".internal.",
".generated.",
".test_utils.",
".annotations.",
".deprecation",
}
def _fullname(attr):
"""Fully qualified name of an attribute."""
... | 0.599954 | 0.158207 |
import torch
import torch.nn as nn
import string
import os
import time
import random
from torch.functional import Tensor
from utils import Utils
from recurrent_neural_network import RecurrentNeuralNetwork
from typing import List, Tuple, Any
class Program():
def __init__(self, learning_rate: float = 0.005, iterations... | recurrent_neural_network_1/program.py | import torch
import torch.nn as nn
import string
import os
import time
import random
from torch.functional import Tensor
from utils import Utils
from recurrent_neural_network import RecurrentNeuralNetwork
from typing import List, Tuple, Any
class Program():
def __init__(self, learning_rate: float = 0.005, iterations... | 0.813313 | 0.320223 |
from twisted.application.service import Service, IService
from twisted.python import filepath
from twisted.trial import unittest
from axiom.store import Store
from axiom.item import Item
from axiom.substore import SubStore
from axiom.attributes import text, bytes, boolean, inmemory
class SubStored(Item):
sche... | axiom/test/test_substore.py | from twisted.application.service import Service, IService
from twisted.python import filepath
from twisted.trial import unittest
from axiom.store import Store
from axiom.item import Item
from axiom.substore import SubStore
from axiom.attributes import text, bytes, boolean, inmemory
class SubStored(Item):
sche... | 0.408867 | 0.257322 |
import unittest
import pyglet
from pyglet.text import caret, document, layout
doctext = """
<html>
<head>
(metadata including title is not displayed.)
<title>Test document</title>
</head>
<body>
<h1>HTML test document</h1>
<p>Several paragraphs of HTML formatted text follow. Ensure they are
... | tests/interactive/text/html.py | import unittest
import pyglet
from pyglet.text import caret, document, layout
doctext = """
<html>
<head>
(metadata including title is not displayed.)
<title>Test document</title>
</head>
<body>
<h1>HTML test document</h1>
<p>Several paragraphs of HTML formatted text follow. Ensure they are
... | 0.466603 | 0.393676 |
from __future__ import absolute_import, print_function
import os, sys
import warnings
import numpy
from pdb import set_trace
# Add the path to bbob_pproc
if __name__ == "__main__":
# append path without trailing '/bbob_pproc', using os.sep fails in mingw32
#sys.path.append(filepath.replace('\\', '/').rsplit('... | bbob/bbob_pproc/ppconverrorbars.py | from __future__ import absolute_import, print_function
import os, sys
import warnings
import numpy
from pdb import set_trace
# Add the path to bbob_pproc
if __name__ == "__main__":
# append path without trailing '/bbob_pproc', using os.sep fails in mingw32
#sys.path.append(filepath.replace('\\', '/').rsplit('... | 0.19729 | 0.254104 |
import numpy as np
class GaussianNB:
def __init__(self, random_state=None, verbose=0):
self.random_state = random_state
self.verbose = int(verbose)
self.estimator = None
def fit(self, X, y, sample_weight=None):
self.iterative_fit(X, y, n_iter=2, refit=True)
iteration... | mosaic_ml/model_config/classification/gaussian_nb.py | import numpy as np
class GaussianNB:
def __init__(self, random_state=None, verbose=0):
self.random_state = random_state
self.verbose = int(verbose)
self.estimator = None
def fit(self, X, y, sample_weight=None):
self.iterative_fit(X, y, n_iter=2, refit=True)
iteration... | 0.652131 | 0.355523 |
r"""File to
"""
from __future__ import absolute_import, print_function
import ast
import glob
import os
import sys
def useful():
print("in qcdb.useful()")
return 'qcdb successfully accessed'
def drop_duplicates(seq):
"""Function that given an array or array of arrays *seq*, returns an
array witho... | qcdb/legacy/dbproc.py |
r"""File to
"""
from __future__ import absolute_import, print_function
import ast
import glob
import os
import sys
def useful():
print("in qcdb.useful()")
return 'qcdb successfully accessed'
def drop_duplicates(seq):
"""Function that given an array or array of arrays *seq*, returns an
array witho... | 0.258326 | 0.18797 |
import numpy as np
import sys
import os
import random
import time
from driving import Driving
from designer import Designer
from domain_helper import *
from sklearn.ensemble import RandomForestClassifier
current_file_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(current_... | src/shaping_multiple_actors.py | import numpy as np
import sys
import os
import random
import time
from driving import Driving
from designer import Designer
from domain_helper import *
from sklearn.ensemble import RandomForestClassifier
current_file_path = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(current_... | 0.25303 | 0.110471 |
from __future__ import division
import numpy as np
from ..color import Color
from .polygon import PolygonVisual
class RectangleVisual(PolygonVisual):
"""
Displays a 2D rectangle with optional rounded corners
Parameters
----------
pos : array
Center of the rectangle
color : instance ... | vispy/visuals/rectangle.py | from __future__ import division
import numpy as np
from ..color import Color
from .polygon import PolygonVisual
class RectangleVisual(PolygonVisual):
"""
Displays a 2D rectangle with optional rounded corners
Parameters
----------
pos : array
Center of the rectangle
color : instance ... | 0.937925 | 0.682382 |
import warnings
warnings.simplefilter(action='ignore', category=Warning)
import numpy as np
from tensorflow.keras.models import load_model
def predictFinRisk(fin_ind):
"""
Predict a company's financial risk according to its indexes.
:param fin_ind: financial indexes
:return: the probabilit... | website/model_pred.py | import warnings
warnings.simplefilter(action='ignore', category=Warning)
import numpy as np
from tensorflow.keras.models import load_model
def predictFinRisk(fin_ind):
"""
Predict a company's financial risk according to its indexes.
:param fin_ind: financial indexes
:return: the probabilit... | 0.525856 | 0.437163 |
from django.core.management.base import BaseCommand
from bot_admin.models import *
import os
from datetime import datetime
from telegram import Bot
from telegram.utils.request import Request
ALL_ANSWERS_DIRECTORY = 'answers ' + datetime.now().strftime('%d.%m.%Y %H:%M:%S') + ' (utc)'
QUESTION_FILENAME = 'question.txt'... | survey_bot/bot_admin/management/commands/get_question_results.py | from django.core.management.base import BaseCommand
from bot_admin.models import *
import os
from datetime import datetime
from telegram import Bot
from telegram.utils.request import Request
ALL_ANSWERS_DIRECTORY = 'answers ' + datetime.now().strftime('%d.%m.%Y %H:%M:%S') + ' (utc)'
QUESTION_FILENAME = 'question.txt'... | 0.197909 | 0.052716 |
from djblets.testing.decorators import add_fixtures
from kgb import SpyAgency
from reviewboard.reviews.ui.base import (FileAttachmentReviewUI,
register_ui,
unregister_ui)
from reviewboard.testing import TestCase
class MyReviewUI(FileA... | reviewboard/reviews/tests/test_file_attachment_review_ui.py |
from djblets.testing.decorators import add_fixtures
from kgb import SpyAgency
from reviewboard.reviews.ui.base import (FileAttachmentReviewUI,
register_ui,
unregister_ui)
from reviewboard.testing import TestCase
class MyReviewUI(FileA... | 0.647352 | 0.315947 |
import os
import sys
import unittest
from pathlib import Path
from py2many import main
class CodeGeneratorTests(unittest.TestCase):
TEST_CASES = ["fib", "rect", "infer", "infer-ops", "binit"]
TESTS_DIR = Path(__file__).parent
def setUp(self):
os.chdir(self.TESTS_DIR)
def tearDownClass():
... | tests/test_cases.py | import os
import sys
import unittest
from pathlib import Path
from py2many import main
class CodeGeneratorTests(unittest.TestCase):
TEST_CASES = ["fib", "rect", "infer", "infer-ops", "binit"]
TESTS_DIR = Path(__file__).parent
def setUp(self):
os.chdir(self.TESTS_DIR)
def tearDownClass():
... | 0.31542 | 0.416263 |
from OTLMOW.OTLModel.BaseClasses.OTLAttribuut import OTLAttribuut
from OTLMOW.OTLModel.Classes.Proef import Proef
from OTLMOW.OTLModel.Datatypes.DtcDocument import DtcDocument
from OTLMOW.GeometrieArtefact.PuntGeometrie import PuntGeometrie
from OTLMOW.GeometrieArtefact.LijnGeometrie import LijnGeometrie
from OTLMOW.Ge... | src/OTLMOW/OTLModel/Classes/ProefBindmiddeldosering.py | from OTLMOW.OTLModel.BaseClasses.OTLAttribuut import OTLAttribuut
from OTLMOW.OTLModel.Classes.Proef import Proef
from OTLMOW.OTLModel.Datatypes.DtcDocument import DtcDocument
from OTLMOW.GeometrieArtefact.PuntGeometrie import PuntGeometrie
from OTLMOW.GeometrieArtefact.LijnGeometrie import LijnGeometrie
from OTLMOW.Ge... | 0.640186 | 0.12179 |
from urllib.request import urlopen
from urllib.parse import quote
from bs4 import BeautifulSoup
import re
import os
import json
import download
def query(query):
jsonOutput = {"items":[]}
# Search the book with the keyword
url = 'http://chuangshi.qq.com/search/searchindex/type/all/wd/' + query + '.html'
... | src/search.py | from urllib.request import urlopen
from urllib.parse import quote
from bs4 import BeautifulSoup
import re
import os
import json
import download
def query(query):
jsonOutput = {"items":[]}
# Search the book with the keyword
url = 'http://chuangshi.qq.com/search/searchindex/type/all/wd/' + query + '.html'
... | 0.279435 | 0.126839 |
from flask_wtf import FlaskForm
from wtforms import TextField, IntegerField, TextAreaField, SubmitField, RadioField, SelectField,StringField
from wtforms import validators, ValidationError
from wtforms.validators import DataRequired
def validate_staff(form, field):
if field.data == "":
raise ValidationError("N... | forms.py | from flask_wtf import FlaskForm
from wtforms import TextField, IntegerField, TextAreaField, SubmitField, RadioField, SelectField,StringField
from wtforms import validators, ValidationError
from wtforms.validators import DataRequired
def validate_staff(form, field):
if field.data == "":
raise ValidationError("N... | 0.246715 | 0.171755 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'NetworkElement.created'
db.add_column('server_info_collector_networkelement', 'cr... | server_info_collector/migrations/0002_auto__add_field_networkelement_created.py | from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'NetworkElement.created'
db.add_column('server_info_collector_networkelement', 'cr... | 0.436982 | 0.143758 |
import json
from logging.config import dictConfig
from typing import List, Dict
from allennlp.models import load_archive
from allennlp.predictors import Predictor
from fever.api.web_server import fever_web_api
from fever.evidence.retrieval_methods.retrieval_method import RetrievalMethod
import os
import logging
from f... | src/fever_cs.py | import json
from logging.config import dictConfig
from typing import List, Dict
from allennlp.models import load_archive
from allennlp.predictors import Predictor
from fever.api.web_server import fever_web_api
from fever.evidence.retrieval_methods.retrieval_method import RetrievalMethod
import os
import logging
from f... | 0.727104 | 0.157072 |
from app.registration.models import RegistrationForm, Registration
from app.registration.models import RegistrationSection
import json
from datetime import datetime, timedelta
from app.utils.testing import ApiTestCase
from app.users.models import AppUser, UserCategory, Country
from app.events.models import Event
from a... | api/app/registrationResponse/tests.py | from app.registration.models import RegistrationForm, Registration
from app.registration.models import RegistrationSection
import json
from datetime import datetime, timedelta
from app.utils.testing import ApiTestCase
from app.users.models import AppUser, UserCategory, Country
from app.events.models import Event
from a... | 0.464173 | 0.085824 |
from io import BytesIO
from typing import Tuple, Sequence
import attr
from PIL import Image
from ebl.changelog import Changelog
from ebl.ebl_ai_client import EblAiClient
from ebl.files.application.file_repository import FileRepository
from ebl.fragmentarium.application.annotations_repository import AnnotationsReposit... | ebl/fragmentarium/application/annotations_service.py | from io import BytesIO
from typing import Tuple, Sequence
import attr
from PIL import Image
from ebl.changelog import Changelog
from ebl.ebl_ai_client import EblAiClient
from ebl.files.application.file_repository import FileRepository
from ebl.fragmentarium.application.annotations_repository import AnnotationsReposit... | 0.791539 | 0.144722 |
import logging
import os.path as osp
import subprocess
from jinja2 import Environment, PackageLoader
from ..utils import get_model_tag_and_version
from .. import __version__ as catwalk_version
logger = logging.getLogger(__name__)
def build_prep(model_path=".", server_config=None, server_port=9090):
"""Prepares... | catwalk/cicd/build_steps.py | import logging
import os.path as osp
import subprocess
from jinja2 import Environment, PackageLoader
from ..utils import get_model_tag_and_version
from .. import __version__ as catwalk_version
logger = logging.getLogger(__name__)
def build_prep(model_path=".", server_config=None, server_port=9090):
"""Prepares... | 0.380644 | 0.18939 |
import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | repro_eval/Evaluator.py | import pytrec_eval
from repro_eval.util import trim, break_ties
from repro_eval.measure.statistics import ttest
from repro_eval.measure.overall_effects import ER, deltaRI
from repro_eval.measure.document_order import ktau_union as ktu, RBO
from repro_eval.measure.effectiveness import rmse as RMSE, nrmse as nRMSE
from r... | 0.642096 | 0.292557 |
import keras.engine.training
from typing import Callable
from typing import Tuple
from typing import List
from typing import Union
from util_types import types_of_loco
from network_model.distillation.distillation_model_builder import DistllationModelIncubator
from keras.optimizers import Optimizer, SGD
from network_mod... | network_model/model_builder.py | import keras.engine.training
from typing import Callable
from typing import Tuple
from typing import List
from typing import Union
from util_types import types_of_loco
from network_model.distillation.distillation_model_builder import DistllationModelIncubator
from keras.optimizers import Optimizer, SGD
from network_mod... | 0.888166 | 0.309363 |
import time
import math
from fairseq import utils
from fairseq import bleu
class Meter(object):
def reset(self):
pass
def update(self, val, n=1):
pass
@property
def avg(self):
pass
@property
def std(self):
return 0.0
class AverageMeter(Meter):
"""Comp... | fairseq/meters.py |
import time
import math
from fairseq import utils
from fairseq import bleu
class Meter(object):
def reset(self):
pass
def update(self, val, n=1):
pass
@property
def avg(self):
pass
@property
def std(self):
return 0.0
class AverageMeter(Meter):
"""Comp... | 0.655115 | 0.359533 |
from kivy.core.window import Window
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.label import Label
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.screenmanager import ScreenManager, Screen
from ins import *
from ruffier import*
f... | main.py | from kivy.core.window import Window
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.label import Label
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.screenmanager import ScreenManager, Screen
from ins import *
from ruffier import*
f... | 0.276495 | 0.069573 |
import random
from genetrack import conf, logger
from genetrack.server.web.models import *
from genetrack.server.web import authorize, status
from django.contrib.auth.models import User
# the user used to populate the data
user = User.objects.get(email='admin')
# potential project names
project_names = [
'Mouse ... | eggs/GeneTrack-2.0.0_beta_1_dev_48da9e998f0caf01c5be731e926f4b0481f658f0-py2.7.egg/tests/populate.py | import random
from genetrack import conf, logger
from genetrack.server.web.models import *
from genetrack.server.web import authorize, status
from django.contrib.auth.models import User
# the user used to populate the data
user = User.objects.get(email='admin')
# potential project names
project_names = [
'Mouse ... | 0.348534 | 0.196981 |
# NOC modules
from noc.sa.profiles.Generic.get_metrics import Script as GetMetricsScript, metrics
from noc.core.validators import is_float
class Script(GetMetricsScript):
name = "Rotek.BT.get_metrics"
@metrics(["Environment | Sensor Status"], volatile=False, access="S") # SNMP version
def get_sensor_st... | sa/profiles/Rotek/BT/get_metrics.py |
# NOC modules
from noc.sa.profiles.Generic.get_metrics import Script as GetMetricsScript, metrics
from noc.core.validators import is_float
class Script(GetMetricsScript):
name = "Rotek.BT.get_metrics"
@metrics(["Environment | Sensor Status"], volatile=False, access="S") # SNMP version
def get_sensor_st... | 0.599602 | 0.247487 |
import os
import json
import urllib.parse
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponseNotAllowed, HttpResponseBadRequest
from django.http import HttpResponse
from django.urls import reverse
import requests
from django.views.decorators.csrf import csrf_exempt
from web... | webserver/pkgpkr/webservice/views.py | import os
import json
import urllib.parse
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponseNotAllowed, HttpResponseBadRequest
from django.http import HttpResponse
from django.urls import reverse
import requests
from django.views.decorators.csrf import csrf_exempt
from web... | 0.494629 | 0.062274 |
# Copyright (c) 2010 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Utilities for PyAuto."""
import logging
import os
import shutil
import sys
import tempfile
import zipfile
class ExistingPathReplacer(object):
""... | chrome/test/pyautolib/pyauto_utils.py |
# Copyright (c) 2010 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Utilities for PyAuto."""
import logging
import os
import shutil
import sys
import tempfile
import zipfile
class ExistingPathReplacer(object):
""... | 0.581184 | 0.190347 |
"""PageParser tests."""
import httpx # noqa: F401
import pytest
from core.database import ProductGinoModel
from core.services import get_product_name
pytestmark = [pytest.mark.asyncio, pytest.mark.api_full]
API_URL_PREFIX = "/api/v1"
@pytest.fixture
def no_css_response() -> bytes:
minified_html = b'<!DOCTYPE... | backend/tests/test_page_parser.py | """PageParser tests."""
import httpx # noqa: F401
import pytest
from core.database import ProductGinoModel
from core.services import get_product_name
pytestmark = [pytest.mark.asyncio, pytest.mark.api_full]
API_URL_PREFIX = "/api/v1"
@pytest.fixture
def no_css_response() -> bytes:
minified_html = b'<!DOCTYPE... | 0.540681 | 0.173516 |
import pytest
from shutil import copyfile
from shutil import copytree
import os
from cli.postman2robot import run as postman2robot
@pytest.fixture(scope="function")
def collection(tmpdir, request):
if request.param:
test_name = request.param
else:
test_name = request.node.name
filepath ... | test/test_cli_postman2robot.py | import pytest
from shutil import copyfile
from shutil import copytree
import os
from cli.postman2robot import run as postman2robot
@pytest.fixture(scope="function")
def collection(tmpdir, request):
if request.param:
test_name = request.param
else:
test_name = request.node.name
filepath ... | 0.250271 | 0.380644 |
import numpy as np
from sklearn.svm import LinearSVC, SVC
from riemannian_multiscale import RiemannianMultiscale, QuantizedRiemannianMultiscale
from filters import load_filterbank
from utilities import quantize
__author__ = "<NAME>, <NAME> and <NAME>"
__email__ = "<EMAIL>,<EMAIL>"
DATA_PATH = "dataset/"
# QUANTIZED ... | multiscale_bci_python/riemannian_model.py | import numpy as np
from sklearn.svm import LinearSVC, SVC
from riemannian_multiscale import RiemannianMultiscale, QuantizedRiemannianMultiscale
from filters import load_filterbank
from utilities import quantize
__author__ = "<NAME>, <NAME> and <NAME>"
__email__ = "<EMAIL>,<EMAIL>"
DATA_PATH = "dataset/"
# QUANTIZED ... | 0.798737 | 0.390708 |
import unittest
import os
import sys
from glob import glob
import numpy as np
import matador.cli.dispersion
from matador.scrapers import res2dict, magres2dict
from matador.hull import QueryConvexHull
from matador.plotting.battery_plotting import plot_voltage_curve
from matador.plotting.pdf_plotting import plot_pdf
from... | tests/test_plotting.py | import unittest
import os
import sys
from glob import glob
import numpy as np
import matador.cli.dispersion
from matador.scrapers import res2dict, magres2dict
from matador.hull import QueryConvexHull
from matador.plotting.battery_plotting import plot_voltage_curve
from matador.plotting.pdf_plotting import plot_pdf
from... | 0.390825 | 0.428891 |
from common import num_range_scale
from neurons_engine import neurons_request, neurons_blocking_read, neurons_blocking_read
INQUIRE_ID = 0x00
SHAKE_ID = 0x01
ACC_X_ID = 0x02
ACC_Y_ID = 0x03
ACC_Z_ID = 0x04
GYRO_X_ID = 0x05
GYRO_Y_ID = 0x06
GYRO_Z_ID = 0x07
PITCH_ID = 0x08
ROLL_ID = 0x09
ROTATE_Z_ID = 0x0a
ROTATE_X_ID... | src/neurons_engine/mbuild_modules/motion_sensor.py | from common import num_range_scale
from neurons_engine import neurons_request, neurons_blocking_read, neurons_blocking_read
INQUIRE_ID = 0x00
SHAKE_ID = 0x01
ACC_X_ID = 0x02
ACC_Y_ID = 0x03
ACC_Z_ID = 0x04
GYRO_X_ID = 0x05
GYRO_Y_ID = 0x06
GYRO_Z_ID = 0x07
PITCH_ID = 0x08
ROLL_ID = 0x09
ROTATE_Z_ID = 0x0a
ROTATE_X_ID... | 0.554229 | 0.337995 |
import unittest
import os
import sys
import datetime
testing_dir = os.path.dirname(os.path.abspath(__file__))
base_dir = os.path.dirname(testing_dir)
sys.path.insert(0, base_dir)
from bromelia.etsi_3gpp_swm.avps import *
from bromelia.etsi_3gpp_swm.definitions import *
from bromelia.avps import *
from bromelia.base... | tests/test_avps.py | import unittest
import os
import sys
import datetime
testing_dir = os.path.dirname(os.path.abspath(__file__))
base_dir = os.path.dirname(testing_dir)
sys.path.insert(0, base_dir)
from bromelia.etsi_3gpp_swm.avps import *
from bromelia.etsi_3gpp_swm.definitions import *
from bromelia.avps import *
from bromelia.base... | 0.38827 | 0.300938 |
import sys, numpy, ode, math, copy
if '..' not in sys.path:
sys.path.append('..')
import Math.mmMath as mm
class OdeModel():
class Node:
def __init__(self, name):
self.name = name
self.body = None
self.joint = None
self.motor = None
... | PyCommon/modules/Simulator/ysOdeModel.py | import sys, numpy, ode, math, copy
if '..' not in sys.path:
sys.path.append('..')
import Math.mmMath as mm
class OdeModel():
class Node:
def __init__(self, name):
self.name = name
self.body = None
self.joint = None
self.motor = None
... | 0.251924 | 0.159414 |
import os
import glob
import pandas as pd
import dask.dataframe as dd
import pathlib
from datetime import datetime, timedelta
def read_data(dir_name, usecols, dtype, date_range=None):
"""
Return a dataframe with concatenated data.
Set timestamp as index.
Parameters:
dir_name (str): directory ... | src/pycrds/datafile.py | import os
import glob
import pandas as pd
import dask.dataframe as dd
import pathlib
from datetime import datetime, timedelta
def read_data(dir_name, usecols, dtype, date_range=None):
"""
Return a dataframe with concatenated data.
Set timestamp as index.
Parameters:
dir_name (str): directory ... | 0.644001 | 0.29245 |
from pathlib import Path
from django.core.exceptions import ImproperlyConfigured
import os
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto... | config/settings.py | from pathlib import Path
from django.core.exceptions import ImproperlyConfigured
import os
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto... | 0.496582 | 0.091829 |
import asyncio
from unittest import mock
import aiotools
import pytest
from asynctest import CoroutineMock
from senor_octopus.scheduler import Scheduler
@pytest.mark.asyncio
async def test_scheduler() -> None:
mock_source1 = mock.MagicMock()
mock_source1.schedule.next.return_value = 10
mock_source1.run =... | tests/test_scheduler.py | import asyncio
from unittest import mock
import aiotools
import pytest
from asynctest import CoroutineMock
from senor_octopus.scheduler import Scheduler
@pytest.mark.asyncio
async def test_scheduler() -> None:
mock_source1 = mock.MagicMock()
mock_source1.schedule.next.return_value = 10
mock_source1.run =... | 0.662578 | 0.45175 |
import numpy as np
from tqdm import tqdm, tnrange, tqdm_notebook
from pandas import read_csv
from nltk import word_tokenize
import torch
from torch import optim
import torch.nn as nn
import torch.nn.functional as F
whitepapers = read_csv('whitepapers.csv')
# merge description and document text
whitepapers['text'] = ... | train_embedding.py | import numpy as np
from tqdm import tqdm, tnrange, tqdm_notebook
from pandas import read_csv
from nltk import word_tokenize
import torch
from torch import optim
import torch.nn as nn
import torch.nn.functional as F
whitepapers = read_csv('whitepapers.csv')
# merge description and document text
whitepapers['text'] = ... | 0.846958 | 0.337558 |
import modelspec
from modelspec import field, instance_of, optional
from modelspec.base_types import Base
from typing import List
# Example showing how to create a model of a document and use it to create/serialize instances
@modelspec.define
class Paragraph(Base):
"""
A model of a paragraph
Args:
... | examples/document.py | import modelspec
from modelspec import field, instance_of, optional
from modelspec.base_types import Base
from typing import List
# Example showing how to create a model of a document and use it to create/serialize instances
@modelspec.define
class Paragraph(Base):
"""
A model of a paragraph
Args:
... | 0.823257 | 0.555737 |
"""Module containing the logic for the URIBuilder object."""
from . import compat
from . import normalizers
from . import uri
class URIBuilder(object):
"""Object to aid in building up a URI Reference from parts.
.. note::
This object should be instantiated by the user, but it's recommended
t... | bin/urllib3/packages/rfc3986/builder.py | """Module containing the logic for the URIBuilder object."""
from . import compat
from . import normalizers
from . import uri
class URIBuilder(object):
"""Object to aid in building up a URI Reference from parts.
.. note::
This object should be instantiated by the user, but it's recommended
t... | 0.923889 | 0.168771 |
"""Provides interfaces to various commands provided by diffusion toolkit
"""
import os
import re
from ...utils.filemanip import fname_presuffix, split_filename, copyfile
from ..base import (TraitedSpec, File, traits, CommandLine,
CommandLineInputSpec, isdefined)
__docformat__ = 'restructuredtext'
... | nipype/interfaces/diffusion_toolkit/dti.py | """Provides interfaces to various commands provided by diffusion toolkit
"""
import os
import re
from ...utils.filemanip import fname_presuffix, split_filename, copyfile
from ..base import (TraitedSpec, File, traits, CommandLine,
CommandLineInputSpec, isdefined)
__docformat__ = 'restructuredtext'
... | 0.594787 | 0.273183 |
from multiprocessing import Process
import multiprocessing
import os
import datetime
import time
import numpy as np
from tqdm import tqdm
import trilearn.graph
from trilearn import set_process as sp
from trilearn.distributions import sequential_junction_tree_distributions as seqdist
from trilearn.graph import traject... | trilearn/pgibbs.py | from multiprocessing import Process
import multiprocessing
import os
import datetime
import time
import numpy as np
from tqdm import tqdm
import trilearn.graph
from trilearn import set_process as sp
from trilearn.distributions import sequential_junction_tree_distributions as seqdist
from trilearn.graph import traject... | 0.841468 | 0.366108 |
from PythonMiddleware.graphene import Graphene
from PythonMiddleware.instance import set_shared_graphene_instance
from pprint import pprint
from PythonMiddleware.account import Account
nodeAddress = "ws://127.0.0.1:8020"
gph = Graphene(node=nodeAddress, blocking=True)
set_shared_graphene_instance(gph)
#创建钱包
#可以通过... | contract.py |
from PythonMiddleware.graphene import Graphene
from PythonMiddleware.instance import set_shared_graphene_instance
from pprint import pprint
from PythonMiddleware.account import Account
nodeAddress = "ws://127.0.0.1:8020"
gph = Graphene(node=nodeAddress, blocking=True)
set_shared_graphene_instance(gph)
#创建钱包
#可以通过... | 0.319121 | 0.244217 |
import openerp
from openerp import SUPERUSER_ID
from openerp.addons.web import http
from openerp.addons.website.models.website import unslug
from openerp.tools.translate import _
from openerp.addons.web.http import request
import werkzeug.urls
class WebsiteCustomer(http.Controller):
_references_per_page = 20
... | web/addons/website_customer/controllers/main.py | import openerp
from openerp import SUPERUSER_ID
from openerp.addons.web import http
from openerp.addons.website.models.website import unslug
from openerp.tools.translate import _
from openerp.addons.web.http import request
import werkzeug.urls
class WebsiteCustomer(http.Controller):
_references_per_page = 20
... | 0.229018 | 0.084909 |
import sys
import json
import requests
import os.path
from requests_toolbelt.adapters.source import SourceAddressAdapter
from os import path
# Authentication-Authorization plugins for SCB are installed to /opt/scb/var/plugins/aa/.
# It is a lot easier just to SSH into SCB to test your plugin rather than uploading th... | PatternFiles/AAPlugin/SGAATelnet/main.py |
import sys
import json
import requests
import os.path
from requests_toolbelt.adapters.source import SourceAddressAdapter
from os import path
# Authentication-Authorization plugins for SCB are installed to /opt/scb/var/plugins/aa/.
# It is a lot easier just to SSH into SCB to test your plugin rather than uploading th... | 0.274157 | 0.066176 |
from wasm.immtypes import *
from wasm.opcodes import INSN_ENTER_BLOCK, INSN_LEAVE_BLOCK, INSN_BRANCH, INSN_NO_FLOW
"""
TODO: add pop and pushes value per instructions
"""
_table = {
# opcode:(mnemonic/name, imm_struct, flags, pops, pushes, description)
0x00: ('unreachable', None, INSN_NO_FLOW, 0, 0, ''),
... | octopus/platforms/EOS/wasm.py |
from wasm.immtypes import *
from wasm.opcodes import INSN_ENTER_BLOCK, INSN_LEAVE_BLOCK, INSN_BRANCH, INSN_NO_FLOW
"""
TODO: add pop and pushes value per instructions
"""
_table = {
# opcode:(mnemonic/name, imm_struct, flags, pops, pushes, description)
0x00: ('unreachable', None, INSN_NO_FLOW, 0, 0, ''),
... | 0.300746 | 0.233018 |
from pysys.constants import *
from apama.basetest import ApamaBaseTest
from apama.correlator import CorrelatorHelper
from GAPDemoConnected import GAPDemoConnectedHelper
class PySysTest(ApamaBaseTest):
def __init__(self, descriptor, outsubdir, runner):
super(PySysTest, self).__init__(descriptor, outsubdir, ru... | tests/GAPDemo_cor_002/run.py | from pysys.constants import *
from apama.basetest import ApamaBaseTest
from apama.correlator import CorrelatorHelper
from GAPDemoConnected import GAPDemoConnectedHelper
class PySysTest(ApamaBaseTest):
def __init__(self, descriptor, outsubdir, runner):
super(PySysTest, self).__init__(descriptor, outsubdir, ru... | 0.52074 | 0.142918 |
import csv
import os
import tensorflow as tf
from tensorflow.keras.metrics import Mean
from inside import config
from inside.callbacks import setup_callbacks
from inside.constructor import setup_comet_ml, setup_model
from inside.loaders import CLEVR
from inside.metrics import DiceScore
def _write_results(logs):
... | inside/pipelines/clevr.py | import csv
import os
import tensorflow as tf
from tensorflow.keras.metrics import Mean
from inside import config
from inside.callbacks import setup_callbacks
from inside.constructor import setup_comet_ml, setup_model
from inside.loaders import CLEVR
from inside.metrics import DiceScore
def _write_results(logs):
... | 0.820649 | 0.290452 |
import sys
import pytest
from pre_commit_hooks.loaderon_hooks.tests.util.test_helpers import perform_test_on_file_expecting_result
from pre_commit_hooks.loaderon_hooks.general_hooks.check_location import main
@pytest.fixture(autouse=True)
def clean_sys_argv():
sys.argv = []
# Each line is a directory that ... | pre_commit_hooks/loaderon_hooks/tests/general_hooks/check_location_test.py | import sys
import pytest
from pre_commit_hooks.loaderon_hooks.tests.util.test_helpers import perform_test_on_file_expecting_result
from pre_commit_hooks.loaderon_hooks.general_hooks.check_location import main
@pytest.fixture(autouse=True)
def clean_sys_argv():
sys.argv = []
# Each line is a directory that ... | 0.333395 | 0.237919 |
import numpy as np
import cPickle
from collections import defaultdict
import sys, re
import pandas as pd
def preprocess_data(corpus):
"""
Process the training and test data usable for training
"""
claims = []
#trainset
exp_file = corpus[0]
nonexp_file = corpus[1]
unv_file = corpus[2]
... | cnn_claim_classification/preprocess_data_verify.py | import numpy as np
import cPickle
from collections import defaultdict
import sys, re
import pandas as pd
def preprocess_data(corpus):
"""
Process the training and test data usable for training
"""
claims = []
#trainset
exp_file = corpus[0]
nonexp_file = corpus[1]
unv_file = corpus[2]
... | 0.169509 | 0.241688 |
from django.db import models
from django.contrib.auth.models import User
from django.template.defaultfilters import slugify
import os
from django.urls import reverse
class standard(models.Model):
name = models.CharField(max_length=100, unique=True)
slug = models.SlugField(null=True,blank=True)
descriptio... | eLarning_LMS/curriculum/models.py | from django.db import models
from django.contrib.auth.models import User
from django.template.defaultfilters import slugify
import os
from django.urls import reverse
class standard(models.Model):
name = models.CharField(max_length=100, unique=True)
slug = models.SlugField(null=True,blank=True)
descriptio... | 0.358353 | 0.143068 |
import warnings
import numpy as np
import cmath as math
import scipy as scp
import scipy.optimize as opt
from types import FunctionType
def parse_multidatasets(V,K,weights,precondition=False):
#===============================================================================
# Identify if the sig... | deerlab/utils/utils.py | import warnings
import numpy as np
import cmath as math
import scipy as scp
import scipy.optimize as opt
from types import FunctionType
def parse_multidatasets(V,K,weights,precondition=False):
#===============================================================================
# Identify if the sig... | 0.502441 | 0.390418 |
from itertools import combinations
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.cross_validation import KFold
data = load_iris()
for k, v in data.items():
print k
print v, '\n'
featureNames = data['feature_names']
features = data['data']
targetNames = data['target_name... | ClassificationOnIrisDataset/solution.py |
from itertools import combinations
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.cross_validation import KFold
data = load_iris()
for k, v in data.items():
print k
print v, '\n'
featureNames = data['feature_names']
features = data['data']
targetNames = data['target_name... | 0.482429 | 0.632588 |
from __future__ import absolute_import
from __future__ import with_statement
import sys
import logging
from tempfile import mktemp
from celery import log
from celery.log import (setup_logger, setup_task_logger,
get_default_logger, get_task_logger,
redirect_stdouts_to_lo... | celery/tests/test_app/test_log.py | from __future__ import absolute_import
from __future__ import with_statement
import sys
import logging
from tempfile import mktemp
from celery import log
from celery.log import (setup_logger, setup_task_logger,
get_default_logger, get_task_logger,
redirect_stdouts_to_lo... | 0.430267 | 0.203807 |
# @ERROR: No module named 'pip._internal.cli.main'
# 更改成 from pip._internal import main
from pip._internal.cli.main import main
pip_source = {
'官方源': 'https://pypi.org/simple/',# 下载win版本包 建议用官方源
'阿里云': 'http://mirrors.aliyun.com/pypi/simple/',
}
local_down_dir = {
'base': 'Z:\\var\\log\\mine\\',#目录... | pip_helper.py | # @ERROR: No module named 'pip._internal.cli.main'
# 更改成 from pip._internal import main
from pip._internal.cli.main import main
pip_source = {
'官方源': 'https://pypi.org/simple/',# 下载win版本包 建议用官方源
'阿里云': 'http://mirrors.aliyun.com/pypi/simple/',
}
local_down_dir = {
'base': 'Z:\\var\\log\\mine\\',#目录... | 0.229881 | 0.086671 |
import datetime
from django.shortcuts import render
from django.views import View
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.db.models.deletion import ProtectedError
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequi... | conta/main/views.py | import datetime
from django.shortcuts import render
from django.views import View
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.db.models.deletion import ProtectedError
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequi... | 0.368747 | 0.124852 |
import logging
import time
import numpy as np
import pytest
from ophyd.sim import fake_device_cache, make_fake_device
from .. import ccm
from ..sim import FastMotor
logger = logging.getLogger(__name__)
SAMPLE_ALIO = 4.575 # Current value as of writing this file
SAMPLE_THETA = 1.2 # Modest angle
SAMPLE_WAVELENGTH... | pcdsdevices/tests/test_ccm.py | import logging
import time
import numpy as np
import pytest
from ophyd.sim import fake_device_cache, make_fake_device
from .. import ccm
from ..sim import FastMotor
logger = logging.getLogger(__name__)
SAMPLE_ALIO = 4.575 # Current value as of writing this file
SAMPLE_THETA = 1.2 # Modest angle
SAMPLE_WAVELENGTH... | 0.791378 | 0.390592 |
load(":lit_test.bzl", "lit_test", "lit_test_suite")
def iree_lit_test(
name,
cfg = "//iree:lit.cfg.py",
tools = None,
env = None,
**kwargs):
"""A thin wrapper around lit_test with some opinionated settings.
See the base lit_test for more details on argument meanings.
... | build_tools/bazel/iree_lit_test.bzl | load(":lit_test.bzl", "lit_test", "lit_test_suite")
def iree_lit_test(
name,
cfg = "//iree:lit.cfg.py",
tools = None,
env = None,
**kwargs):
"""A thin wrapper around lit_test with some opinionated settings.
See the base lit_test for more details on argument meanings.
... | 0.525125 | 0.277926 |
import torch
import numpy as np
import dnnutil.network as network
import time
__all__ = ['calculate_accuracy', 'Trainer', 'ClassifierTrainer', 'AutoencoderTrainer']
def calculate_accuracy(prediction, label, axis=1):
'''calculate_accuracy(prediction, label)
Computes the mean accuracy over a batch of pre... | dnnutil/training.py | import torch
import numpy as np
import dnnutil.network as network
import time
__all__ = ['calculate_accuracy', 'Trainer', 'ClassifierTrainer', 'AutoencoderTrainer']
def calculate_accuracy(prediction, label, axis=1):
'''calculate_accuracy(prediction, label)
Computes the mean accuracy over a batch of pre... | 0.927482 | 0.687702 |
import pandas as pd
import numpy as np
################################################
#Parameters :
#Planck constant (J/Hz)
h=6.62607004*10**-34
#Boltzmann constant (J/K)
kB=1.38064852*10**-23
#Light velocity in vaccum (m/s)
c=299792458.0
##################################################################... | Bigeleisen_KIE.py | import pandas as pd
import numpy as np
################################################
#Parameters :
#Planck constant (J/Hz)
h=6.62607004*10**-34
#Boltzmann constant (J/K)
kB=1.38064852*10**-23
#Light velocity in vaccum (m/s)
c=299792458.0
##################################################################... | 0.391057 | 0.562717 |
from django.shortcuts import redirect, render_to_response
from django.forms.formsets import formset_factory
from django.contrib.auth.decorators import login_required
from django.template import RequestContext
from cito_engine.forms import tools_form, events
@login_required(login_url='/login/')
def bulk_upload_events(... | app/cito_engine/views/tools.py | from django.shortcuts import redirect, render_to_response
from django.forms.formsets import formset_factory
from django.contrib.auth.decorators import login_required
from django.template import RequestContext
from cito_engine.forms import tools_form, events
@login_required(login_url='/login/')
def bulk_upload_events(... | 0.380299 | 0.066297 |
import logging
import json
import pandas as pd
from flask import render_template
from flask_wtf import Form
from wtforms import fields
from wtforms.validators import Required
from . import app, estimator, target_names
logger = logging.getLogger('app')
class PredictForm(Form):
"""Fields for Predict"""
# sepa... | credit_default/app/views.py | import logging
import json
import pandas as pd
from flask import render_template
from flask_wtf import Form
from wtforms import fields
from wtforms.validators import Required
from . import app, estimator, target_names
logger = logging.getLogger('app')
class PredictForm(Form):
"""Fields for Predict"""
# sepa... | 0.535098 | 0.37088 |
import collections
import mox
import urllib
import uuid
from nova.openstack.common import jsonutils
from nova import test
import novadocker.virt.docker.client as docker_client
class FakeResponse(object):
def __init__(self, status, data='', headers=None):
self.status = status
self._data = data
... | novadocker/tests/virt/docker/test_docker_client.py |
import collections
import mox
import urllib
import uuid
from nova.openstack.common import jsonutils
from nova import test
import novadocker.virt.docker.client as docker_client
class FakeResponse(object):
def __init__(self, status, data='', headers=None):
self.status = status
self._data = data
... | 0.500244 | 0.115686 |
from gi.repository import Gtk, Gdk
import cairo
from random import getrandbits
from ball_drawing_area import BallDrawingArea
from store import store
from near import near
import config
def rand_velocity():
return config.BALL_VELOCITY if getrandbits(1) else -config.BALL_VELOCITY
class BallWindow(Gtk.Window):
... | src/ball_window.py | from gi.repository import Gtk, Gdk
import cairo
from random import getrandbits
from ball_drawing_area import BallDrawingArea
from store import store
from near import near
import config
def rand_velocity():
return config.BALL_VELOCITY if getrandbits(1) else -config.BALL_VELOCITY
class BallWindow(Gtk.Window):
... | 0.482429 | 0.143968 |
import json
import pickle
from copy import deepcopy
import os
import numpy as np
import xarray as xr
def save_to_pickle(datafield, filename):
"""
Save datafield to pickle file. Keep in mind that restoring a pickle
requires that the internal structure of the types for the pickled data
remain unchange... | neurolib/utils/saver.py | import json
import pickle
from copy import deepcopy
import os
import numpy as np
import xarray as xr
def save_to_pickle(datafield, filename):
"""
Save datafield to pickle file. Keep in mind that restoring a pickle
requires that the internal structure of the types for the pickled data
remain unchange... | 0.546496 | 0.318803 |
from __future__ import unicode_literals
from django.core.urlresolvers import reverse
from selenium.common.exceptions import NoSuchElementException
from .helpers import SeleniumTestCase
class LareRequestTest(SeleniumTestCase):
def test_lare_request_depth_1(self):
self.browser_get_reverse('index')
... | test_app/tests/test_lare_request.py | from __future__ import unicode_literals
from django.core.urlresolvers import reverse
from selenium.common.exceptions import NoSuchElementException
from .helpers import SeleniumTestCase
class LareRequestTest(SeleniumTestCase):
def test_lare_request_depth_1(self):
self.browser_get_reverse('index')
... | 0.623721 | 0.247129 |
import numpy as np
from unlock.bci.decode.decode import *
from unlock.bci.decode.harmonic import *
from unlock.bci.decode.femg import *
from unlock.bci.decode.eyeblink import *
from unlock.bci.decode.tm import *
class UnlockDecoderFactory(object):
def create_decoder(self, decoder, **kwargs):
func = {... | unlock/bci/decode/__init__.py | import numpy as np
from unlock.bci.decode.decode import *
from unlock.bci.decode.harmonic import *
from unlock.bci.decode.femg import *
from unlock.bci.decode.eyeblink import *
from unlock.bci.decode.tm import *
class UnlockDecoderFactory(object):
def create_decoder(self, decoder, **kwargs):
func = {... | 0.708011 | 0.317876 |
import os
import logging
import datetime
import numpy as np
import tensorflow as tf
from gym.spaces import Box, Discrete
from gym.utils import colorize
from control.utils.misc import Config
from control.utils.misc import REPO_ROOT, RESOURCE_ROOT
from abc import ABC, abstractmethod
class TrainConfigBase(Config):... | control/base.py | import os
import logging
import datetime
import numpy as np
import tensorflow as tf
from gym.spaces import Box, Discrete
from gym.utils import colorize
from control.utils.misc import Config
from control.utils.misc import REPO_ROOT, RESOURCE_ROOT
from abc import ABC, abstractmethod
class TrainConfigBase(Config):... | 0.494873 | 0.187579 |
import unittest
from sacrerouge.common.testing.metric_test_cases import DocumentBasedMetricTestCase
from sacrerouge.common.testing.util import sacrerouge_command_exists
from sacrerouge.metrics import Blanc
from sacrerouge.metrics.blanc import BLANC_INSTALLED
@unittest.skipIf(not BLANC_INSTALLED, '"blanc" not install... | sacrerouge/tests/metrics/blanc_test.py | import unittest
from sacrerouge.common.testing.metric_test_cases import DocumentBasedMetricTestCase
from sacrerouge.common.testing.util import sacrerouge_command_exists
from sacrerouge.metrics import Blanc
from sacrerouge.metrics.blanc import BLANC_INSTALLED
@unittest.skipIf(not BLANC_INSTALLED, '"blanc" not install... | 0.672762 | 0.544075 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .impl.ses_conv import SESMaxProjection
from .impl.ses_conv import SESConv_Z2_H, SESConv_H_H
class MNIST_SES_Scalar(nn.Module):
def __init__(self, pool_size=4, kernel_size=11, scales=[1.0], basis_type='A', **kwargs):
super().__init__... | models/mnist_ses.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .impl.ses_conv import SESMaxProjection
from .impl.ses_conv import SESConv_Z2_H, SESConv_H_H
class MNIST_SES_Scalar(nn.Module):
def __init__(self, pool_size=4, kernel_size=11, scales=[1.0], basis_type='A', **kwargs):
super().__init__... | 0.939512 | 0.456955 |
import os
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import JSONFormatter
from argparse import ArgumentParser, Namespace
from tqdm import tqdm
from typing import List
def _get_video_id_from_url(url: str) -> str:
assert "watch?v=" in url, "URL format is incorre... | get_subtitles.py | import os
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import JSONFormatter
from argparse import ArgumentParser, Namespace
from tqdm import tqdm
from typing import List
def _get_video_id_from_url(url: str) -> str:
assert "watch?v=" in url, "URL format is incorre... | 0.40392 | 0.13759 |
FIELDS = {
'FADD': 6,
'FSUB': 6,
'FMUL': 6,
'FDIV': 6,
'NUM': 0, 'CHAR': 1, 'HLT': 2,
'SLA': 0, 'SRA': 1, 'SLAX': 2, 'SRAX': 3, 'SLC': 4, 'SRC': 5,
'STJ': 2,
'JMP': 0, 'JSJ': 1, 'JOV': 2, 'JNOV': 3, 'JL': 4, 'JE': 5, 'JG': 6, 'JGE': 7, 'JNE': 8, 'JLE': 9,
'JAN': 0, 'JAZ': 1, 'JAP': 2... | src/generate_instruction_default_field.py | FIELDS = {
'FADD': 6,
'FSUB': 6,
'FMUL': 6,
'FDIV': 6,
'NUM': 0, 'CHAR': 1, 'HLT': 2,
'SLA': 0, 'SRA': 1, 'SLAX': 2, 'SRAX': 3, 'SLC': 4, 'SRC': 5,
'STJ': 2,
'JMP': 0, 'JSJ': 1, 'JOV': 2, 'JNOV': 3, 'JL': 4, 'JE': 5, 'JG': 6, 'JGE': 7, 'JNE': 8, 'JLE': 9,
'JAN': 0, 'JAZ': 1, 'JAP': 2... | 0.402979 | 0.486454 |
import re
import collections
from enum import Enum
from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST,... | cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_aaa_protocol_radius_oper.py | import re
import collections
from enum import Enum
from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST,... | 0.40698 | 0.055107 |
from __future__ import absolute_import, print_function
import logging
from types import LambdaType
from sentry.models import Organization
from sentry.web.frontend.base import BaseView
from sentry.utils.session_store import RedisSessionStore
from sentry.utils.hashlib import md5_text
from sentry.web.helpers import ren... | src/sentry/pipeline/__init__.py | from __future__ import absolute_import, print_function
import logging
from types import LambdaType
from sentry.models import Organization
from sentry.web.frontend.base import BaseView
from sentry.utils.session_store import RedisSessionStore
from sentry.utils.hashlib import md5_text
from sentry.web.helpers import ren... | 0.872375 | 0.289868 |
from boutdata.collect import collect
from boututils import calculus as calc
import math
import numpy as np
import bout_field as bf
phi=bf.Field(name='phi',dx=0.1)
n=bf.Field(name='n',dx=0.1)
vort=bf.Field(name='vort',dx=0.1)
print('collecting data')
phi.collect()
n.collect()
vort.collect()
print('computing mean fie... | prepare_data.py | from boutdata.collect import collect
from boututils import calculus as calc
import math
import numpy as np
import bout_field as bf
phi=bf.Field(name='phi',dx=0.1)
n=bf.Field(name='n',dx=0.1)
vort=bf.Field(name='vort',dx=0.1)
print('collecting data')
phi.collect()
n.collect()
vort.collect()
print('computing mean fie... | 0.30549 | 0.317955 |
#===================================
# Criado por: Wolfterro
# Versão: 1.2 - Python 2.x
# Data: 28/03/2017
#===================================
from __future__ import print_function
from PyQt4 import QtCore, QtGui
from os.path import expanduser
import os
import sys
import cgi
import ctypes
import hashli... | src/WindowHandler.py | #===================================
# Criado por: Wolfterro
# Versão: 1.2 - Python 2.x
# Data: 28/03/2017
#===================================
from __future__ import print_function
from PyQt4 import QtCore, QtGui
from os.path import expanduser
import os
import sys
import cgi
import ctypes
import hashli... | 0.157687 | 0.075551 |
import sys
from string import Template
HEADER_ = """\
// This file is autogenerated by initializing_coclass.py, do not edit.
#ifndef CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
#define CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
"""
FOOTER_ = """\
#endif // CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
"""
# This template ... | ceee/common/initializing_coclass.py | import sys
from string import Template
HEADER_ = """\
// This file is autogenerated by initializing_coclass.py, do not edit.
#ifndef CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
#define CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
"""
FOOTER_ = """\
#endif // CEEE_COMMON_INITIALIZING_COCLASS_GEN_INL_
"""
# This template ... | 0.331012 | 0.089335 |
import unittest
import bifrost
from bifrost.sigproc import *
import time
class Test_init(unittest.TestCase):
def setUp(self):
self.myfile = SigprocFile()
self.myfile.open(filename='./data/2chan1bitNoDM.fil',mode='r+b')
self.myfile.read_header()
def test_basic(self):
self.myfile... | test/test_sigproc.py |
import unittest
import bifrost
from bifrost.sigproc import *
import time
class Test_init(unittest.TestCase):
def setUp(self):
self.myfile = SigprocFile()
self.myfile.open(filename='./data/2chan1bitNoDM.fil',mode='r+b')
self.myfile.read_header()
def test_basic(self):
self.myfile... | 0.143548 | 0.314656 |
from pygmt.clib import Session
from pygmt.exceptions import GMTInvalidInput
from pygmt.helpers import (
args_in_kwargs,
build_arg_string,
fmt_docstring,
kwargs_to_strings,
use_alias,
)
@fmt_docstring
@use_alias(
R="region",
J="projection",
A="area_thresh",
C="lakes",
B="frame",... | pygmt/src/coast.py | from pygmt.clib import Session
from pygmt.exceptions import GMTInvalidInput
from pygmt.helpers import (
args_in_kwargs,
build_arg_string,
fmt_docstring,
kwargs_to_strings,
use_alias,
)
@fmt_docstring
@use_alias(
R="region",
J="projection",
A="area_thresh",
C="lakes",
B="frame",... | 0.797636 | 0.526586 |
from __future__ import print_function
import unittest
import filecmp
import sys
import os
import glob
import json
import shutil
from mock import patch, Mock, mock_open
from pyingest.parsers import arxiv
from pyingest.config import config
from pyingest.parsers.author_names import AuthorNames
from pyingest.parsers.affi... | pyingest/tests/test_parsers_arxiv.py | from __future__ import print_function
import unittest
import filecmp
import sys
import os
import glob
import json
import shutil
from mock import patch, Mock, mock_open
from pyingest.parsers import arxiv
from pyingest.config import config
from pyingest.parsers.author_names import AuthorNames
from pyingest.parsers.affi... | 0.368065 | 0.27392 |
from __future__ import annotations
import dataclasses as d
import typing as t
import dataclasses
import fractions
from .. import model
from ..model import actions, expressions, types, properties, operators
from . import lexer
_IGNORE = {lexer.TokenType.WHITESPACE, lexer.TokenType.COMMENT}
class MomlSyntaxError... | momba/moml/parser.py |
from __future__ import annotations
import dataclasses as d
import typing as t
import dataclasses
import fractions
from .. import model
from ..model import actions, expressions, types, properties, operators
from . import lexer
_IGNORE = {lexer.TokenType.WHITESPACE, lexer.TokenType.COMMENT}
class MomlSyntaxError... | 0.882009 | 0.319825 |
import sys, os
import environment
try:
import pygame
except ImportError:
print "You need PyGame installed"
exit(1)
if os.system("dot -V") != 0:
print "You need the dot binary (from Graphviz) installed and in the PATH"
exit(1)
from rpython import conftest
class o:
view = False
viewloops = T... | .build/jit.py |
import sys, os
import environment
try:
import pygame
except ImportError:
print "You need PyGame installed"
exit(1)
if os.system("dot -V") != 0:
print "You need the dot binary (from Graphviz) installed and in the PATH"
exit(1)
from rpython import conftest
class o:
view = False
viewloops = T... | 0.352425 | 0.263595 |
from itertools import product, combinations
import numpy as np
import rlutils as rl
from rlutils.environment.gridworld import pt_to_idx, idx_to_pt, \
generate_gridworld_transition_function, \
generate_gridworld_transition_function_with_barrier, \
generate_mdp_from_transition_and_reward_function
from .util... | rewardpredictive/mdp.py | from itertools import product, combinations
import numpy as np
import rlutils as rl
from rlutils.environment.gridworld import pt_to_idx, idx_to_pt, \
generate_gridworld_transition_function, \
generate_gridworld_transition_function_with_barrier, \
generate_mdp_from_transition_and_reward_function
from .util... | 0.487795 | 0.493653 |
import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
import matplotlib.patches as mpatches
import pandas as pd
import numpy as np
from numpy import dtype
from matplotlib.pyplot import ylabel
import math
import re
import sys
sys.path.append(f'./common')
import util
from util import *
setup(util.settin... | scripts/figure10_experiment[static_solution_ssd]/plot_dca_static_ssd.py | import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
import matplotlib.patches as mpatches
import pandas as pd
import numpy as np
from numpy import dtype
from matplotlib.pyplot import ylabel
import math
import re
import sys
sys.path.append(f'./common')
import util
from util import *
setup(util.settin... | 0.362743 | 0.295846 |
from execute.command_function import get_command_execute
from gatheros import __name__ as module_name
from execute.execution_unit import ExecutionUnit
import argparse
import sys, os
import json
base_dir = os.sep.join(__file__.split( os.sep )[:-1])
parser = argparse.ArgumentParser( description = "A tool for remote sy... | gatheros/gatheros_exec.py | from execute.command_function import get_command_execute
from gatheros import __name__ as module_name
from execute.execution_unit import ExecutionUnit
import argparse
import sys, os
import json
base_dir = os.sep.join(__file__.split( os.sep )[:-1])
parser = argparse.ArgumentParser( description = "A tool for remote sy... | 0.171442 | 0.065785 |
import numpy as np
import numpy.random as rn
import matplotlib.pyplot as plt
class Gridworld(object):
"""
Gridworld MDP.
"""
def __init__(self, grid_size, wind, discount):
"""
grid_size: Grid size. int.
wind: Chance of moving randomly. float.
discount: MDP discount. flo... | irl/mdp/gridworld.py | import numpy as np
import numpy.random as rn
import matplotlib.pyplot as plt
class Gridworld(object):
"""
Gridworld MDP.
"""
def __init__(self, grid_size, wind, discount):
"""
grid_size: Grid size. int.
wind: Chance of moving randomly. float.
discount: MDP discount. flo... | 0.689724 | 0.641984 |