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 logging
from flask import request, abort as flask_abort
from werkzeug.exceptions import HTTPException
from webargs import core
from webargs.core import text_type
logger = logging.getLogger(__name__)
def abort(http_status_code, **kwargs):
"""Raise a HTTPException for the given http_status_code. Attach any... | webargs/flaskparser.py | import logging
from flask import request, abort as flask_abort
from werkzeug.exceptions import HTTPException
from webargs import core
from webargs.core import text_type
logger = logging.getLogger(__name__)
def abort(http_status_code, **kwargs):
"""Raise a HTTPException for the given http_status_code. Attach any... | 0.601594 | 0.080647 |
import requests
import json
import datetime
import time
import os
def main():
print("""
_______ _______ _______ _______ _ _________
( )( ____ \( ____ )( ___ )| \ /\\__ __/
| () () ||... | MerakiAPIGet.py | import requests
import json
import datetime
import time
import os
def main():
print("""
_______ _______ _______ _______ _ _________
( )( ____ \( ____ )( ___ )| \ /\\__ __/
| () () ||... | 0.097106 | 0.084758 |
from flask import Flask, request, jsonify
from utils.nodefinder import node_finder
from utils.simulator import car_mover, simulator
from entities.carpool import Carpool
from entities.user import User
from entities.car import Car
from threading import Thread
from utils.bluetooth.serial_connection import SerialConnection... | server/main.py | from flask import Flask, request, jsonify
from utils.nodefinder import node_finder
from utils.simulator import car_mover, simulator
from entities.carpool import Carpool
from entities.user import User
from entities.car import Car
from threading import Thread
from utils.bluetooth.serial_connection import SerialConnection... | 0.491944 | 0.165593 |
import argparse
from utils.BaseFlags import parser as parser
# DATASET NAME
parser.add_argument('--dataset', type=str, default='CelebA', help="name of the dataset")
# add arguments
parser.add_argument('--style_img_dim', type=int, default=32, help="dimension of varying factor latent space")
parser.add_argument('--styl... | celeba/flags.py | import argparse
from utils.BaseFlags import parser as parser
# DATASET NAME
parser.add_argument('--dataset', type=str, default='CelebA', help="name of the dataset")
# add arguments
parser.add_argument('--style_img_dim', type=int, default=32, help="dimension of varying factor latent space")
parser.add_argument('--styl... | 0.616243 | 0.046747 |
import os, sys, re
print("Building all_exercises_challenges.html...")
path_to_notebooks = '/srv/projects/intro_programming/intro_programming/notebooks/'
# Work through notebooks in the order listed here.
filenames = ['var_string_num.html', 'lists_tuples.html',
'introducing_functions.html', 'if_statemen... | scripts/build_all_exercises_page.py |
import os, sys, re
print("Building all_exercises_challenges.html...")
path_to_notebooks = '/srv/projects/intro_programming/intro_programming/notebooks/'
# Work through notebooks in the order listed here.
filenames = ['var_string_num.html', 'lists_tuples.html',
'introducing_functions.html', 'if_statemen... | 0.396652 | 0.216115 |
## ========================== Import libraries =================================
import json
import csv
import os
## =========================== Useful classes ==================================
class Daemon:
'''Fields: daemon, card_desc, skill_name, skill_desc, skill_quote, summon_quote,
lb_quote,... | sola.py | ## ========================== Import libraries =================================
import json
import csv
import os
## =========================== Useful classes ==================================
class Daemon:
'''Fields: daemon, card_desc, skill_name, skill_desc, skill_quote, summon_quote,
lb_quote,... | 0.291384 | 0.125065 |
from django import newforms as forms
from django.utils.datastructures import MultiValueDict
from django.utils.text import capfirst, truncate_words
from django.utils.translation import ugettext as _
from django.utils.safestring import mark_safe
from django.utils.encoding import force_unicode
from django.conf import sett... | django/contrib/admin/widgets.py | from django import newforms as forms
from django.utils.datastructures import MultiValueDict
from django.utils.text import capfirst, truncate_words
from django.utils.translation import ugettext as _
from django.utils.safestring import mark_safe
from django.utils.encoding import force_unicode
from django.conf import sett... | 0.409457 | 0.168139 |
import tensorflow as tf
import numpy as np
from utils.utils import load_data, preprocess_features, preprocess_adj_bias, adj_to_bias
from .models import GAT
def train(model, inputs, bias_mat, lbl_in, msk_in, optimizer):
with tf.GradientTape() as tape:
logits, accuracy, loss = model(inputs=inputs, training=... | algorithms/gat/gat.py | import tensorflow as tf
import numpy as np
from utils.utils import load_data, preprocess_features, preprocess_adj_bias, adj_to_bias
from .models import GAT
def train(model, inputs, bias_mat, lbl_in, msk_in, optimizer):
with tf.GradientTape() as tape:
logits, accuracy, loss = model(inputs=inputs, training=... | 0.781289 | 0.571826 |
import re
import os
import glob
import numpy as np
from tqdm import tqdm
import torch
import torch.nn.functional as F
import torchvision.models as models
use_gpu = True
cuda_available = torch.cuda.is_available()
device = torch.device("cuda" if (cuda_available and use_gpu) else "cpu")
from utils import to_var
from mo... | PyTorch/predict_utilsMulti.py | import re
import os
import glob
import numpy as np
from tqdm import tqdm
import torch
import torch.nn.functional as F
import torchvision.models as models
use_gpu = True
cuda_available = torch.cuda.is_available()
device = torch.device("cuda" if (cuda_available and use_gpu) else "cpu")
from utils import to_var
from mo... | 0.6705 | 0.454048 |
from selenium import webdriver
import time
import selenium.webdriver.support.ui as ui
#shift-tab多行缩进(左)
print 'please wait...system loading...'
PostUrl = "https://www.douban.com/"
driver=webdriver.Chrome()#用浏览器实现访问
driver_detail=webdriver.PhantomJS()
wait = ui.WebDriverWait(driver,15)
wait1 = ui.WebDriverWait(driver_de... | MrLevo520-豆瓣数据爬取与分析/furtherProject/cowboy231-DouBan/work9/work9.py | from selenium import webdriver
import time
import selenium.webdriver.support.ui as ui
#shift-tab多行缩进(左)
print 'please wait...system loading...'
PostUrl = "https://www.douban.com/"
driver=webdriver.Chrome()#用浏览器实现访问
driver_detail=webdriver.PhantomJS()
wait = ui.WebDriverWait(driver,15)
wait1 = ui.WebDriverWait(driver_de... | 0.051427 | 0.064418 |
from django.test.simple import DjangoTestSuiteRunner
from django.conf import settings
from . import loading
from ...exceptions import ResourceNotFound
class CouchDbKitTestSuiteRunner(DjangoTestSuiteRunner):
"""
A test suite runner for couchdbkit. This offers the exact same functionality
as the default d... | couchdbkit/ext/django/testrunner.py |
from django.test.simple import DjangoTestSuiteRunner
from django.conf import settings
from . import loading
from ...exceptions import ResourceNotFound
class CouchDbKitTestSuiteRunner(DjangoTestSuiteRunner):
"""
A test suite runner for couchdbkit. This offers the exact same functionality
as the default d... | 0.388502 | 0.180974 |
from json import dumps as json_encode
from aws_cdk import (
core,
aws_ec2 as ec2,
aws_iam as iam,
aws_neptune as neptune,
aws_s3_assets as s3_assets,
)
class Instance(core.Construct):
def __init__(
self, scope: core.Construct, id: str,
vpc: ec2.IVpc, cluster: neptune.C... | neptune/app.py | from json import dumps as json_encode
from aws_cdk import (
core,
aws_ec2 as ec2,
aws_iam as iam,
aws_neptune as neptune,
aws_s3_assets as s3_assets,
)
class Instance(core.Construct):
def __init__(
self, scope: core.Construct, id: str,
vpc: ec2.IVpc, cluster: neptune.C... | 0.505371 | 0.067454 |
import os, math
from PySide2 import QtCore, QtWidgets, QtGui, QtUiTools
from PySide2.QtWidgets import QApplication, QGraphicsView, QGraphicsScene, QGraphicsEllipseItem, QGraphicsPixmapItem
from PySide2.QtCore import Qt, QPointF
from PIL import Image
__copyright__ = 'Copyright © 2020 mmiikeke - All Right Reserved.'
PA... | user_interface/page_widget.py | import os, math
from PySide2 import QtCore, QtWidgets, QtGui, QtUiTools
from PySide2.QtWidgets import QApplication, QGraphicsView, QGraphicsScene, QGraphicsEllipseItem, QGraphicsPixmapItem
from PySide2.QtCore import Qt, QPointF
from PIL import Image
__copyright__ = 'Copyright © 2020 mmiikeke - All Right Reserved.'
PA... | 0.474144 | 0.095771 |
from collections import namedtuple
import tensorflow as tf
import tensorflow_probability as tfp
from gemlib.mcmc.occult_proposal import AddOccultProposal, DelOccultProposal
tfd = tfp.distributions
OccultKernelResults = namedtuple(
"OccultKernelResults",
(
"log_acceptance_correction",
"target... | gemlib/mcmc/occult_events_mh.py | from collections import namedtuple
import tensorflow as tf
import tensorflow_probability as tfp
from gemlib.mcmc.occult_proposal import AddOccultProposal, DelOccultProposal
tfd = tfp.distributions
OccultKernelResults = namedtuple(
"OccultKernelResults",
(
"log_acceptance_correction",
"target... | 0.93402 | 0.309043 |
import os
from flask import Flask, redirect, render_template, request
from google.cloud import storage
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
app = Flask(__name__)
@app.route('/')
def homepage():
# Return a Jinja2 HTML template and pass in i... | speech/main.py | import os
from flask import Flask, redirect, render_template, request
from google.cloud import storage
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
app = Flask(__name__)
@app.route('/')
def homepage():
# Return a Jinja2 HTML template and pass in i... | 0.651577 | 0.15109 |
import argparse
import functools
import inspect
import sys
import unittest
_use_native_pytest = False
def enable_pytest():
global _use_native_pytest, pytest
assert not _fallback
import pytest
_use_native_pytest = True
def fixture(scope="function", params=None, autouse=False, ids=None, name=None):
... | resources/Wireshark/WiresharkDissectorFoo/test/fixtures.py |
import argparse
import functools
import inspect
import sys
import unittest
_use_native_pytest = False
def enable_pytest():
global _use_native_pytest, pytest
assert not _fallback
import pytest
_use_native_pytest = True
def fixture(scope="function", params=None, autouse=False, ids=None, name=None):
... | 0.55941 | 0.349089 |
import os, re
import numpy as np
import matplotlib.pyplot as plt
debug = True
def compute_rcr_parameters(area, Q_goal, P_min, P_max, P_mean, Q_mean, ratio_prox_to_distal_resistors, decay_time, C_prefactor=1.0):
tol = 1e-12
# total resistances
R_total = []
for Q in Q_goal:
R_total.append(P... | compute_rcr_values.py |
import os, re
import numpy as np
import matplotlib.pyplot as plt
debug = True
def compute_rcr_parameters(area, Q_goal, P_min, P_max, P_mean, Q_mean, ratio_prox_to_distal_resistors, decay_time, C_prefactor=1.0):
tol = 1e-12
# total resistances
R_total = []
for Q in Q_goal:
R_total.append(P... | 0.364664 | 0.503174 |
import time, random
import numpy as np
# User
from tbscm.utils import data
from tbscm.synthetic_controls import SyntheticControl as SC
from tbscm.synthetic_controls import TreeBasedSyntheticControl as TBSC
from tbscm.synthetic_controls import ElasticNetSyntheticControl as ENSC
#---------------------------------------... | src/readme_demo.py | import time, random
import numpy as np
# User
from tbscm.utils import data
from tbscm.synthetic_controls import SyntheticControl as SC
from tbscm.synthetic_controls import TreeBasedSyntheticControl as TBSC
from tbscm.synthetic_controls import ElasticNetSyntheticControl as ENSC
#---------------------------------------... | 0.495606 | 0.291321 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from model_predict import read_xmls, get_target_image_paths, InputData, EvalSummary
correct_index_map = {
"763a8z0136b6aae04_20181218_042832_-329078_380494.jpg": 0,
"763a8z0136... | research/object_detection/model_predict_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from model_predict import read_xmls, get_target_image_paths, InputData, EvalSummary
correct_index_map = {
"763a8z0136b6aae04_20181218_042832_-329078_380494.jpg": 0,
"763a8z0136... | 0.430866 | 0.286649 |
import glob
import pandas as pd
import argparse
import networkx as nx
from pathlib import Path
def construct_network(states, minimum_weight, output):
if states is None:
# fmt: off
STATES = [
"ak", "al", "ar", "az", "ca", "co", "ct", "dc", "de", "fl",
"ga", "hi", "ia", "id",... | construct_block_network.py | import glob
import pandas as pd
import argparse
import networkx as nx
from pathlib import Path
def construct_network(states, minimum_weight, output):
if states is None:
# fmt: off
STATES = [
"ak", "al", "ar", "az", "ca", "co", "ct", "dc", "de", "fl",
"ga", "hi", "ia", "id",... | 0.345436 | 0.360827 |
import random
import uuid
from unittest.mock import Mock, PropertyMock, patch
import pytest
from common_test_utils import MockS3
from braket.aws import AwsQuantumTaskBatch, AwsSession
from braket.circuits import Circuit
from braket.tasks import GateModelQuantumTaskResult
S3_TARGET = AwsSession.S3DestinationFolder("... | test/unit_tests/braket/aws/test_aws_quantum_task_batch.py |
import random
import uuid
from unittest.mock import Mock, PropertyMock, patch
import pytest
from common_test_utils import MockS3
from braket.aws import AwsQuantumTaskBatch, AwsSession
from braket.circuits import Circuit
from braket.tasks import GateModelQuantumTaskResult
S3_TARGET = AwsSession.S3DestinationFolder("... | 0.723993 | 0.506836 |
from rest_framework.test import APIClient
from django.core import mail
from django.contrib.auth.models import User
from drinks.models import UserIngredient, Ingredient, Book, BookUser, Profile
from django.utils.timezone import now
from .base import BaseTestCase
class UserTestCase(BaseTestCase):
def test_list_user... | api/drinks/tests/users.py | from rest_framework.test import APIClient
from django.core import mail
from django.contrib.auth.models import User
from drinks.models import UserIngredient, Ingredient, Book, BookUser, Profile
from django.utils.timezone import now
from .base import BaseTestCase
class UserTestCase(BaseTestCase):
def test_list_user... | 0.436862 | 0.139572 |
import numpy as np
import torch
import torch.nn as nn
from tests.nn import test_constants
from tharsis.nn import helper
def test_layer_norm():
input_x = torch.randn(
test_constants.N_BATCH,
test_constants.N_SEQ,
test_constants.N_INPUT)
layer_norm_machine = helper.LayerNorm(... | tests/nn/test_helper.py | import numpy as np
import torch
import torch.nn as nn
from tests.nn import test_constants
from tharsis.nn import helper
def test_layer_norm():
input_x = torch.randn(
test_constants.N_BATCH,
test_constants.N_SEQ,
test_constants.N_INPUT)
layer_norm_machine = helper.LayerNorm(... | 0.753739 | 0.749798 |
from touchdown import ssh
from touchdown.aws.ec2.keypair import KeyPair
from touchdown.aws.iam import InstanceProfile
from touchdown.aws.vpc import SecurityGroup, Subnet
from touchdown.core import argument, errors, serializers
from touchdown.core.plan import Plan, Present
from touchdown.core.resource import Resource
... | touchdown/aws/ec2/instance.py |
from touchdown import ssh
from touchdown.aws.ec2.keypair import KeyPair
from touchdown.aws.iam import InstanceProfile
from touchdown.aws.vpc import SecurityGroup, Subnet
from touchdown.core import argument, errors, serializers
from touchdown.core.plan import Plan, Present
from touchdown.core.resource import Resource
... | 0.52756 | 0.111 |
from poppy.model import common
AVAILABLE_PROTOCOLS = [
u'http',
u'https'
]
CERTIFICATE_OPTIONS = [
None,
u'shared',
u'san',
u'sni',
u'custom'
]
class Domain(common.DictSerializableModel):
def __init__(self, domain, protocol='http',
certificate=None):
self._... | poppy/model/helpers/domain.py |
from poppy.model import common
AVAILABLE_PROTOCOLS = [
u'http',
u'https'
]
CERTIFICATE_OPTIONS = [
None,
u'shared',
u'san',
u'sni',
u'custom'
]
class Domain(common.DictSerializableModel):
def __init__(self, domain, protocol='http',
certificate=None):
self._... | 0.821796 | 0.190969 |
from ...imcmo import ManagedObject
from ...imccoremeta import MoPropertyMeta, MoMeta
from ...imcmeta import VersionMeta
class BiosVfConfigTDPLevelConsts:
VP_CONFIG_TDPLEVEL_LEVEL_1 = "Level 1"
VP_CONFIG_TDPLEVEL_LEVEL_2 = "Level 2"
VP_CONFIG_TDPLEVEL_NORMAL = "Normal"
VP_CONFIG_TDPLEVEL_PLATFORM_DEFA... | imcsdk/mometa/bios/BiosVfConfigTDPLevel.py |
from ...imcmo import ManagedObject
from ...imccoremeta import MoPropertyMeta, MoMeta
from ...imcmeta import VersionMeta
class BiosVfConfigTDPLevelConsts:
VP_CONFIG_TDPLEVEL_LEVEL_1 = "Level 1"
VP_CONFIG_TDPLEVEL_LEVEL_2 = "Level 2"
VP_CONFIG_TDPLEVEL_NORMAL = "Normal"
VP_CONFIG_TDPLEVEL_PLATFORM_DEFA... | 0.41834 | 0.222236 |
import struct
def read_uchar(bytes, idx):
val = struct.unpack_from(">B", bytes, idx)
return val[0], idx + 1
def read_schar(bytes, idx):
val = struct.unpack_from(">b", bytes, idx)
return val[0], idx + 1
def read_uword(bytes, idx):
val = struct.unpack_from(">H", bytes, idx)
return val[0], idx +... | src/python/editor/rom.py | import struct
def read_uchar(bytes, idx):
val = struct.unpack_from(">B", bytes, idx)
return val[0], idx + 1
def read_schar(bytes, idx):
val = struct.unpack_from(">b", bytes, idx)
return val[0], idx + 1
def read_uword(bytes, idx):
val = struct.unpack_from(">H", bytes, idx)
return val[0], idx +... | 0.375248 | 0.29381 |
import numpy as np
def rotation_matrix_to_quaternion(rotation):
print(rotation.shape)
print("dtype of rotation:{}".format(rotation.dtype))
trace = rotation[0, 0] + rotation[1, 1] + rotation[2, 2]
s, w, x, y, z = 0.0, 0.0, 0.0, 0.0, 0.0
print("trace: {}".format(trace))
print("type of trace:{}".f... | datasets/test_quaternion.py | import numpy as np
def rotation_matrix_to_quaternion(rotation):
print(rotation.shape)
print("dtype of rotation:{}".format(rotation.dtype))
trace = rotation[0, 0] + rotation[1, 1] + rotation[2, 2]
s, w, x, y, z = 0.0, 0.0, 0.0, 0.0, 0.0
print("trace: {}".format(trace))
print("type of trace:{}".f... | 0.260013 | 0.664772 |
from logging import getLogger
from time import sleep
from typing import Dict, List, Optional, Any
from uuid import uuid4
import requests
from azul import config
logger = getLogger(__name__)
class CollectionDataAccess:
DEFAULT_MAX_BACKOFF_TIME = 60
def __init__(self, access_token:str):
self.access_to... | src/azul/service/responseobjects/collection_data_access.py | from logging import getLogger
from time import sleep
from typing import Dict, List, Optional, Any
from uuid import uuid4
import requests
from azul import config
logger = getLogger(__name__)
class CollectionDataAccess:
DEFAULT_MAX_BACKOFF_TIME = 60
def __init__(self, access_token:str):
self.access_to... | 0.678647 | 0.062303 |
import xml.etree.ElementTree as ET
from .gateway import *
CARTS_RESOURCE = "http://ec2-52-4-244-64.compute-1.amazonaws.com/konkershop/api/carts/"
FIND_LAST_CART_TEMPLATE = CARTS_RESOURCE + "?filter[id_customer]=%s&sort=[id_DESC]&limit=1"
GET_LAST_CART_TEMPLATE = CARTS_RESOURCE + "%s"
def add_to_cart(customer_code,pro... | konker.samples/prestashop-cart-orchestrator/prestashop/repositories/carts.py | import xml.etree.ElementTree as ET
from .gateway import *
CARTS_RESOURCE = "http://ec2-52-4-244-64.compute-1.amazonaws.com/konkershop/api/carts/"
FIND_LAST_CART_TEMPLATE = CARTS_RESOURCE + "?filter[id_customer]=%s&sort=[id_DESC]&limit=1"
GET_LAST_CART_TEMPLATE = CARTS_RESOURCE + "%s"
def add_to_cart(customer_code,pro... | 0.213869 | 0.071819 |
from itertools import product
import pytest
import numpy as np
from pypetting import (
GridSite,
aspirate,
dispense,
mix,
wash,
move_liha,
)
from pypetting.liha import _well_select
FIRST = np.array([True] + 7 * [False])
COL96 = np.array(8 * [True])
grid_site = GridSite(40, 0, "MP 3Pos")
LI... | test/test_liha.py |
from itertools import product
import pytest
import numpy as np
from pypetting import (
GridSite,
aspirate,
dispense,
mix,
wash,
move_liha,
)
from pypetting.liha import _well_select
FIRST = np.array([True] + 7 * [False])
COL96 = np.array(8 * [True])
grid_site = GridSite(40, 0, "MP 3Pos")
LI... | 0.557845 | 0.571049 |
import pandas as pd
import numpy as np
import requests
from bs4 import BeautifulSoup
from .exceptions import BadRequestError
def get_stations():
url = 'https://coagmet.colostate.edu/station_index.php'
response = requests.get(url)
soup = BeautifulSoup(response.text, features='lxml')
table = soup.find... | coagmet/stations.py | import pandas as pd
import numpy as np
import requests
from bs4 import BeautifulSoup
from .exceptions import BadRequestError
def get_stations():
url = 'https://coagmet.colostate.edu/station_index.php'
response = requests.get(url)
soup = BeautifulSoup(response.text, features='lxml')
table = soup.find... | 0.367157 | 0.238146 |
import operator
from typing import Callable, Iterable, Sequence, Tuple, TypeVar
from pants.base.deprecated import deprecated
_T = TypeVar("_T")
Filter = Callable[[_T], bool]
def _extract_modifier(modified_param: str) -> Tuple[Callable[[bool], bool], str]:
if modified_param.startswith("-"):
return opera... | src/python/pants/util/filtering.py |
import operator
from typing import Callable, Iterable, Sequence, Tuple, TypeVar
from pants.base.deprecated import deprecated
_T = TypeVar("_T")
Filter = Callable[[_T], bool]
def _extract_modifier(modified_param: str) -> Tuple[Callable[[bool], bool], str]:
if modified_param.startswith("-"):
return opera... | 0.906983 | 0.454714 |
from itertools import chain, count
from typing import Optional
from autofit.mapper.model_object import ModelObject
class Plate:
_ids = count()
def __init__(
self,
name: Optional[str] = None
):
"""
Represents a dimension, such as number of observation... | autofit/mapper/variable.py | from itertools import chain, count
from typing import Optional
from autofit.mapper.model_object import ModelObject
class Plate:
_ids = count()
def __init__(
self,
name: Optional[str] = None
):
"""
Represents a dimension, such as number of observation... | 0.909611 | 0.158337 |
import time
import requests
import numpy as np
import pandas as pd
from tradingfeatures import apiBase
class bitfinexBase(apiBase):
def __init__(self):
super(bitfinexBase, self).__init__(
name = 'bitfinex',
per_step = 120,
sleep = 0.5,
)
self.base_add... | tradingfeatures/apis/bitfinex/base.py | import time
import requests
import numpy as np
import pandas as pd
from tradingfeatures import apiBase
class bitfinexBase(apiBase):
def __init__(self):
super(bitfinexBase, self).__init__(
name = 'bitfinex',
per_step = 120,
sleep = 0.5,
)
self.base_add... | 0.518546 | 0.196306 |
from onegov.core.upgrade import upgrade_task
from onegov.core.orm import Base, find_models
from onegov.core.orm.abstract import Associable
from onegov.core.orm.types import JSON
from sqlalchemy import inspect, text
from sqlalchemy.exc import NoInspectionAvailable
@upgrade_task('Drop primary key from associated tables... | src/onegov/core/upgrades.py | from onegov.core.upgrade import upgrade_task
from onegov.core.orm import Base, find_models
from onegov.core.orm.abstract import Associable
from onegov.core.orm.types import JSON
from sqlalchemy import inspect, text
from sqlalchemy.exc import NoInspectionAvailable
@upgrade_task('Drop primary key from associated tables... | 0.457864 | 0.211193 |
from time import time
from simplejson import dumps
from thingsboard_gateway.connectors.rest.rest_converter import RESTConverter, log
from thingsboard_gateway.tb_utility.tb_utility import TBUtility
class JsonRESTUplinkConverter(RESTConverter):
def __init__(self, config):
self.__config = config
def... | thingsboard_gateway/connectors/rest/json_rest_uplink_converter.py |
from time import time
from simplejson import dumps
from thingsboard_gateway.connectors.rest.rest_converter import RESTConverter, log
from thingsboard_gateway.tb_utility.tb_utility import TBUtility
class JsonRESTUplinkConverter(RESTConverter):
def __init__(self, config):
self.__config = config
def... | 0.293708 | 0.209773 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import collections
import heapq
import logging
import json
import zlib
import click
from treadmill import cli
from treadmill import context
from treadmill import zkname... | lib/python/treadmill/cli/admin/show.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import collections
import heapq
import logging
import json
import zlib
import click
from treadmill import cli
from treadmill import context
from treadmill import zkname... | 0.571049 | 0.051106 |
MSVC_WARNINGS = [
"/W4", # Baseline reasonable warnings
"/w14242", # 'identifier': conversion from 'type1' to 'type1', possible loss of data
"/w14254", # 'operator': conversion from 'type1:field_bits' to 'type2:field_bits', possible loss of data
"/w14263", # 'function': member function does not ove... | settings/copts.bzl |
MSVC_WARNINGS = [
"/W4", # Baseline reasonable warnings
"/w14242", # 'identifier': conversion from 'type1' to 'type1', possible loss of data
"/w14254", # 'operator': conversion from 'type1:field_bits' to 'type2:field_bits', possible loss of data
"/w14263", # 'function': member function does not ove... | 0.553988 | 0.308261 |
from flask import render_template, request, Response
from SharedPreferences import AnglesStorage
from app import app
import requests
import urllib
import math
ipcamProtocol = 'http://'
ipcamAddress = '192.168.127.12:8085'
ipcamWebctl = '/decoder_control.cgi'
ipcamVideostream = '/videostream.cgi'
ipcamUser =... | site/app/views.py | from flask import render_template, request, Response
from SharedPreferences import AnglesStorage
from app import app
import requests
import urllib
import math
ipcamProtocol = 'http://'
ipcamAddress = '192.168.127.12:8085'
ipcamWebctl = '/decoder_control.cgi'
ipcamVideostream = '/videostream.cgi'
ipcamUser =... | 0.505127 | 0.120672 |
import os
import typing
def _patch_cython_coverage():
'''
Monkey patch `Cython.Coverage` to also work with Cython packages.
'''
import Cython.Coverage
def _get_reverse_hierarchy(path: str) -> typing.Generator[str, None, None]:
'''
Generator yielding reverse path hierarchy to simpl... | extras/python-bindings/util/coverage-report.py | import os
import typing
def _patch_cython_coverage():
'''
Monkey patch `Cython.Coverage` to also work with Cython packages.
'''
import Cython.Coverage
def _get_reverse_hierarchy(path: str) -> typing.Generator[str, None, None]:
'''
Generator yielding reverse path hierarchy to simpl... | 0.57069 | 0.514217 |
from dataclasses import dataclass
from typing import Callable
import torch
import torch.nn as nn
from fairseq.models import FairseqLanguageModel
from fairseq.models.transformer import Embedding, TransformerDecoder
from fairseq.tasks.language_modeling import LanguageModelingTask
from torch import Tensor
from .transfor... | diagnnose/models/fairseq_lm.py | from dataclasses import dataclass
from typing import Callable
import torch
import torch.nn as nn
from fairseq.models import FairseqLanguageModel
from fairseq.models.transformer import Embedding, TransformerDecoder
from fairseq.tasks.language_modeling import LanguageModelingTask
from torch import Tensor
from .transfor... | 0.941828 | 0.320276 |
from .. import ast_funcs, conf
from ..gen_utils import layout_comment as layout
from . import any_block_help
op_name2symbol = {
'Add': '+',
'Sub': '-',
'Mult': '*',
'Div': '/',
'Mod': '%',
'FloorDiv': '//',
'Pow': '**',
'BitAnd': '&',
'BitOr': '|',
'BitXor': '^',
'RShift': '... | superhelp/helpers/operator_help.py | from .. import ast_funcs, conf
from ..gen_utils import layout_comment as layout
from . import any_block_help
op_name2symbol = {
'Add': '+',
'Sub': '-',
'Mult': '*',
'Div': '/',
'Mod': '%',
'FloorDiv': '//',
'Pow': '**',
'BitAnd': '&',
'BitOr': '|',
'BitXor': '^',
'RShift': '... | 0.382949 | 0.248899 |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class GetConsumeGroupResult:
"""
A collection of values returned by getConsumeGroup.
"""
def __init__(__self__, eventhub_name=None, id=None, location=None, name=None, namespace_nam... | sdk/python/pulumi_azure/eventhub/get_consume_group.py |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class GetConsumeGroupResult:
"""
A collection of values returned by getConsumeGroup.
"""
def __init__(__self__, eventhub_name=None, id=None, location=None, name=None, namespace_nam... | 0.647241 | 0.049359 |
from repositories.CarRepository import CarRepository
import datetime
import string
class CarService:
def __init__(self):
self.__car_repo = CarRepository()
def add_car(self, car):
self.__car_repo.add_car(car)
def get_cars(self):
return self.__car_repo.get_car()
def get_car_by... | services/CarService.py | from repositories.CarRepository import CarRepository
import datetime
import string
class CarService:
def __init__(self):
self.__car_repo = CarRepository()
def add_car(self, car):
self.__car_repo.add_car(car)
def get_cars(self):
return self.__car_repo.get_car()
def get_car_by... | 0.531453 | 0.265511 |
import re
def initializeEnSentence(FREQDICT, sentence):
words = sentence.strip().split()
taggedSen = []
for word in words:
if word in ["“", "”", '"']:
taggedSen.append("''/" + FREQDICT["''"])
continue
tag = ""
lowerW = word.lower()
if word in FREQD... | artagger/InitialTagger/InitialTagger4En.py |
import re
def initializeEnSentence(FREQDICT, sentence):
words = sentence.strip().split()
taggedSen = []
for word in words:
if word in ["“", "”", '"']:
taggedSen.append("''/" + FREQDICT["''"])
continue
tag = ""
lowerW = word.lower()
if word in FREQD... | 0.209955 | 0.186151 |
from __future__ import division
from urllib2 import urlopen
import json
# 1 (std unit) = these many units
MULTIPLIERS_TO_STD = {
'length': {
'cm': 0.01,
'm': 1, # std unit
'km': 1000,
'mi': 1609.34,
'ft': 0.3048
},
'temp': {
'C': 1, # std un... | Numbers/unit.py | from __future__ import division
from urllib2 import urlopen
import json
# 1 (std unit) = these many units
MULTIPLIERS_TO_STD = {
'length': {
'cm': 0.01,
'm': 1, # std unit
'km': 1000,
'mi': 1609.34,
'ft': 0.3048
},
'temp': {
'C': 1, # std un... | 0.468547 | 0.153962 |
from django.conf import settings
import importlib
USER_SETTINGS = getattr(settings, 'DASHING', None)
DEFAULTS = {
'REPOSITORY': 'https://cdn.rawgit.com/talpor/django-dashing-channel/'
'master/repositories.json',
'INSTALLED_WIDGETS': ('number', 'list', 'graph', 'clock', 'knob', 'map',),
'... | dashing/settings.py | from django.conf import settings
import importlib
USER_SETTINGS = getattr(settings, 'DASHING', None)
DEFAULTS = {
'REPOSITORY': 'https://cdn.rawgit.com/talpor/django-dashing-channel/'
'master/repositories.json',
'INSTALLED_WIDGETS': ('number', 'list', 'graph', 'clock', 'knob', 'map',),
'... | 0.489992 | 0.115811 |
r"""Public APIs of anyconfig module.
.. versionchanged:: 0.10.2
- Re-structured APIs and split into sub modules
- Added type hints
.. versionchanged:: 0.9.9
- Removed the API 'find_loader'
- Added new APIs :func:`find` and :func:`findall` to :func:`find parsers`
(loaders and dumpers) to suppport to... | src/anyconfig/api/__init__.py | r"""Public APIs of anyconfig module.
.. versionchanged:: 0.10.2
- Re-structured APIs and split into sub modules
- Added type hints
.. versionchanged:: 0.9.9
- Removed the API 'find_loader'
- Added new APIs :func:`find` and :func:`findall` to :func:`find parsers`
(loaders and dumpers) to suppport to... | 0.826991 | 0.231147 |
# # s_evaluation_eco_cap [<img src="https://www.arpm.co/lab/icons/icon_permalink.png" width=30 height=30 style="display: inline;">](https://www.arpm.co/lab/redirect.php?code=s_evaluation_eco_cap&codeLang=Python)
# For details, see [here](https://www.arpm.co/lab/redirect.php?permalink=EBEconomicCapital).
# +
import nu... | scripts/sources/s_evaluation_eco_cap.py |
# # s_evaluation_eco_cap [<img src="https://www.arpm.co/lab/icons/icon_permalink.png" width=30 height=30 style="display: inline;">](https://www.arpm.co/lab/redirect.php?code=s_evaluation_eco_cap&codeLang=Python)
# For details, see [here](https://www.arpm.co/lab/redirect.php?permalink=EBEconomicCapital).
# +
import nu... | 0.741206 | 0.510985 |
import parasbolv as psv
import matplotlib.pyplot as plt
import numpy as np
import random
fig, ax = plt.subplots()
### Scatter plot
np.random.seed(18012001)
rng = np.random.default_rng(12345)
x = rng.integers(low=0, high=600, size=30)
y = rng.integers(low=0, high=600, size=30)
plt.scatter(x, y, s=15, color... | gallery/10_integrated-plotting/10_integrated-plotting.py | import parasbolv as psv
import matplotlib.pyplot as plt
import numpy as np
import random
fig, ax = plt.subplots()
### Scatter plot
np.random.seed(18012001)
rng = np.random.default_rng(12345)
x = rng.integers(low=0, high=600, size=30)
y = rng.integers(low=0, high=600, size=30)
plt.scatter(x, y, s=15, color... | 0.434221 | 0.292444 |
from utils import loss_utils
from settings import IMG_ROWS, IMG_COLS
from keras.models import Sequential, Model,model_from_json
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers import Input, merge, UpSampling2D
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from k... | models.py | from utils import loss_utils
from settings import IMG_ROWS, IMG_COLS
from keras.models import Sequential, Model,model_from_json
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers import Input, merge, UpSampling2D
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from k... | 0.751739 | 0.592608 |
import sys
import os.path
import yaml
import json
import collections
import python_translate.translations
class NotFoundResourceException(Exception):
pass
class InvalidResourceException(Exception):
pass
class Loader(object):
"""
Loader is the abstract class that all translation loaders are suppose... | python_translate/loaders.py | import sys
import os.path
import yaml
import json
import collections
import python_translate.translations
class NotFoundResourceException(Exception):
pass
class InvalidResourceException(Exception):
pass
class Loader(object):
"""
Loader is the abstract class that all translation loaders are suppose... | 0.58059 | 0.189634 |
import inspect
from ryu import cfg
import webob.dec
from ryu.lib import hub
from routes import Mapper
from routes.util import URLGenerator
CONF = cfg.CONF
CONF.register_cli_opts([
cfg.StrOpt('wsapi-host', default='', help='webapp listen host'),
cfg.IntOpt('wsapi-port', default=8080, help='webapp listen por... | ryu/app/wsgi.py |
import inspect
from ryu import cfg
import webob.dec
from ryu.lib import hub
from routes import Mapper
from routes.util import URLGenerator
CONF = cfg.CONF
CONF.register_cli_opts([
cfg.StrOpt('wsapi-host', default='', help='webapp listen host'),
cfg.IntOpt('wsapi-port', default=8080, help='webapp listen por... | 0.47926 | 0.067948 |
from pipeline import Logger, TaskStatus
from model.entities_api import EntitiesAPI
import os
import time
import multiprocessing
from multiprocessing.pool import ThreadPool
import subprocess
import shlex
UPLOAD_TASK_NAME = 'Upload'
INPUT_CHECK_TASK_NAME = 'InputParametersCheck'
METADATA_TASK_NAME = 'MetadataValuesExtr... | workflows/pipe-templates/__SYSTEM/data_loader/src/sys-data-upload.py |
from pipeline import Logger, TaskStatus
from model.entities_api import EntitiesAPI
import os
import time
import multiprocessing
from multiprocessing.pool import ThreadPool
import subprocess
import shlex
UPLOAD_TASK_NAME = 'Upload'
INPUT_CHECK_TASK_NAME = 'InputParametersCheck'
METADATA_TASK_NAME = 'MetadataValuesExtr... | 0.151059 | 0.069479 |
from rest_framework import viewsets, status
from rest_framework.decorators import action
from rest_framework.permissions import IsAuthenticated, IsAdminUser
from rest_framework.response import Response
from django_filters.rest_framework import DjangoFilterBackend
from config.owf_mixins import mixins
from .models impor... | ozone-framework-python-server/stacks/views.py | from rest_framework import viewsets, status
from rest_framework.decorators import action
from rest_framework.permissions import IsAuthenticated, IsAdminUser
from rest_framework.response import Response
from django_filters.rest_framework import DjangoFilterBackend
from config.owf_mixins import mixins
from .models impor... | 0.589126 | 0.179818 |
import json
import os
from abc import ABCMeta, abstractmethod
from copy import copy
from typing import Optional, Dict, Mapping, Type
from urllib.parse import urlparse
from thriftybuilder.common import MissingOptionalDependencyError
class ChecksumRetriever(metaclass=ABCMeta):
"""
Retriever of mappings between... | thriftybuilder/storage.py | import json
import os
from abc import ABCMeta, abstractmethod
from copy import copy
from typing import Optional, Dict, Mapping, Type
from urllib.parse import urlparse
from thriftybuilder.common import MissingOptionalDependencyError
class ChecksumRetriever(metaclass=ABCMeta):
"""
Retriever of mappings between... | 0.842798 | 0.184033 |
import parl
from parl import layers
import paddle.fluid as fluid
import numpy as np
import gym
from parl.utils import logger
from parl.algorithms import DQN
import random
import collections
LEARN_FREQ = 5 # 训练频率，不需要每一个step都learn，攒一些新增经验后再learn，提高效率
MEMORY_SIZE= int(20000) # replay memory的大小，越大越占用内存
MEMORY_WARMUP_SI... | lesson3_DQN.py | import parl
from parl import layers
import paddle.fluid as fluid
import numpy as np
import gym
from parl.utils import logger
from parl.algorithms import DQN
import random
import collections
LEARN_FREQ = 5 # 训练频率，不需要每一个step都learn，攒一些新增经验后再learn，提高效率
MEMORY_SIZE= int(20000) # replay memory的大小，越大越占用内存
MEMORY_WARMUP_SI... | 0.359477 | 0.396623 |
#1. 生成模拟数据集。
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
data = []
label = []
np.random.seed(0)
# 以原点为圆心，半径为1的圆把散点划分成红蓝两部分，并加入随机噪音。
for i in range(150):
x1 = np.random.uniform(-1,1)
x2 = np.random.uniform(0,2)
if x1**2 + x2**2 <= 1:
data.append([np.random.normal(x1... | 2017.TensorFlow&Python/4.tf_deep_neural_network/n04_4_All_Optimizations&Regularization_For_Newer_Numpy.py |
#1. 生成模拟数据集。
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
data = []
label = []
np.random.seed(0)
# 以原点为圆心，半径为1的圆把散点划分成红蓝两部分，并加入随机噪音。
for i in range(150):
x1 = np.random.uniform(-1,1)
x2 = np.random.uniform(0,2)
if x1**2 + x2**2 <= 1:
data.append([np.random.normal(x1... | 0.464659 | 0.52208 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
# pylint: disable=g-import-not-at-top
import matplotlib
matplotlib.use("agg") # switch backend for testing
import numpy as np
from open_spiel.python.egt import alpharank
from open_spiel.pyth... | open_spiel/python/egt/alpharank_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
# pylint: disable=g-import-not-at-top
import matplotlib
matplotlib.use("agg") # switch backend for testing
import numpy as np
from open_spiel.python.egt import alpharank
from open_spiel.pyth... | 0.808937 | 0.500244 |
# -----------------------------------------------------------------------------
# Module Import
# -----------------------------------------------------------------------------
import os
import sys
import requests
# -----------------------------------------------------------------------------
# Class Definitions
# --... | vagrancy/box_file.py | # -----------------------------------------------------------------------------
# Module Import
# -----------------------------------------------------------------------------
import os
import sys
import requests
# -----------------------------------------------------------------------------
# Class Definitions
# --... | 0.597843 | 0.358493 |
""" losses """
import mindspore as ms
import mindspore.nn as nn
import mindspore.ops as ops
import mindspore.ops.operations as P
from mindspore import Tensor
from src.utils.tools import is_version_satisfied_1_2_0
class GeneratorLoss(nn.Cell):
""" GeneratorLoss """
def __init__(self, netG, netD, args, mode):... | research/cv/STGAN/src/models/losses.py | """ losses """
import mindspore as ms
import mindspore.nn as nn
import mindspore.ops as ops
import mindspore.ops.operations as P
from mindspore import Tensor
from src.utils.tools import is_version_satisfied_1_2_0
class GeneratorLoss(nn.Cell):
""" GeneratorLoss """
def __init__(self, netG, netD, args, mode):... | 0.8812 | 0.320901 |
from argparse import ArgumentParser, Namespace
from idb.cli import ClientCommand
from idb.common.types import HIDButtonType, IdbClient
class TapCommand(ClientCommand):
@property
def description(self) -> str:
return "Tap On the Screen"
@property
def name(self) -> str:
return "tap"
... | idb/cli/commands/hid.py |
from argparse import ArgumentParser, Namespace
from idb.cli import ClientCommand
from idb.common.types import HIDButtonType, IdbClient
class TapCommand(ClientCommand):
@property
def description(self) -> str:
return "Tap On the Screen"
@property
def name(self) -> str:
return "tap"
... | 0.894254 | 0.237709 |
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
# Snowflake time of flight
Have you ever watched a snowflake fall and thought, "How long has that snowflake been falling?"
Here, we want to determine the time of flight for a snowflake. We'll start simple and add some complexity to m... | _build/jupyter_execute/module_01/snowflake.py | import numpy as np
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
# Snowflake time of flight
Have you ever watched a snowflake fall and thought, "How long has that snowflake been falling?"
Here, we want to determine the time of flight for a snowflake. We'll start simple and add some complexity to m... | 0.882276 | 0.921534 |
import time
from pynq import Overlay
import numpy as np
from pynq import Xlnk
import struct
from scipy.misc import imread
import cv2
def readbinfile(filename, size):
f = open(filename, "rb")
z = []
for j in range(size):
data = f.read(4)
data_float = struct.unpack("f", data)[0]
z.ap... | jupyter_notebooks/GTSRB/Traffic-signs-recognition.py | import time
from pynq import Overlay
import numpy as np
from pynq import Xlnk
import struct
from scipy.misc import imread
import cv2
def readbinfile(filename, size):
f = open(filename, "rb")
z = []
for j in range(size):
data = f.read(4)
data_float = struct.unpack("f", data)[0]
z.ap... | 0.298389 | 0.214568 |
import os
import re
import argparse
import torch
import pytorch_mask_rcnn as pmr
def main(args):
use_cuda = True
dataset = args.dataset
ckpt_path = args.ckpt_path
data_dir = args.data_dir
shuffle = args.shuffle
device = torch.device("cuda" if torch.cuda.is_available() and use_cuda else "cpu"... | demo.py | import os
import re
import argparse
import torch
import pytorch_mask_rcnn as pmr
def main(args):
use_cuda = True
dataset = args.dataset
ckpt_path = args.ckpt_path
data_dir = args.data_dir
shuffle = args.shuffle
device = torch.device("cuda" if torch.cuda.is_available() and use_cuda else "cpu"... | 0.408159 | 0.255901 |
from __future__ import absolute_import, print_function
import tornado.ioloop
import tornado.httpserver
from .. import controller, flow
from . import app
class Stop(Exception):
pass
class WebState(flow.State):
def __init__(self):
flow.State.__init__(self)
class Options(object):
attributes = [
... | libmproxy/web/__init__.py | from __future__ import absolute_import, print_function
import tornado.ioloop
import tornado.httpserver
from .. import controller, flow
from . import app
class Stop(Exception):
pass
class WebState(flow.State):
def __init__(self):
flow.State.__init__(self)
class Options(object):
attributes = [
... | 0.500977 | 0.121009 |
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
from typing import List, Optional
import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
class OrdinalLogisticRegressionBasedCDFEstim... | model/regressor.py | from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
from typing import List, Optional
import torch
from torch import nn
from torch.nn import functional as F
import numpy as np
class OrdinalLogisticRegressionBasedCDFEstim... | 0.933862 | 0.318525 |
import os
import sys
import torch
import argparse
import numpy as np
import torch.nn as nn
import PIL.Image as Image
from torchvision import models
from torchvision import transforms
from torch.nn import functional as F
import cv2
import matplotlib as mpl
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
mpl.use('Ag... | image_method/predict.py |
import os
import sys
import torch
import argparse
import numpy as np
import torch.nn as nn
import PIL.Image as Image
from torchvision import models
from torchvision import transforms
from torch.nn import functional as F
import cv2
import matplotlib as mpl
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
mpl.use('Ag... | 0.538983 | 0.370482 |
from asyncio import sleep
from random import uniform
from nvxlira import Lira
class LoadPageTask:
'''
Задача по скачиванию http-страницы
'''
def __init__(self, url, filename, repeatc=64):
'''
url — url страницы, которую нужно скачать
filename — имя файла, куда нужно сохранить скачанную страницу
r... | filling/parse/pageloader.py | from asyncio import sleep
from random import uniform
from nvxlira import Lira
class LoadPageTask:
'''
Задача по скачиванию http-страницы
'''
def __init__(self, url, filename, repeatc=64):
'''
url — url страницы, которую нужно скачать
filename — имя файла, куда нужно сохранить скачанную страницу
r... | 0.196094 | 0.152694 |
import strawberry
import strawberry_django_jwt.mutations
from tests.refresh_token import mixins
from tests.refresh_token.mutations import Refresh
from tests.refresh_token.testcases import AsyncCookieTestCase, CookieTestCase
from tests.testcases import AsyncSchemaTestCase, SchemaTestCase
class TokenAuthTests(mixins.T... | tests/refresh_token/test_mutations.py | import strawberry
import strawberry_django_jwt.mutations
from tests.refresh_token import mixins
from tests.refresh_token.mutations import Refresh
from tests.refresh_token.testcases import AsyncCookieTestCase, CookieTestCase
from tests.testcases import AsyncSchemaTestCase, SchemaTestCase
class TokenAuthTests(mixins.T... | 0.494629 | 0.182863 |
# Copyright 2019 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License")
import os
import copy
import argparse
import torch
import torch.nn as nn
from pynn.net.hybrid import Hybrid
parser = argparse.ArgumentParser(description='pynn')
parser.add_argument('--n-classes', type=int, required=True)
parse... | pynn/bin/average_hybrid.py |
# Copyright 2019 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License")
import os
import copy
import argparse
import torch
import torch.nn as nn
from pynn.net.hybrid import Hybrid
parser = argparse.ArgumentParser(description='pynn')
parser.add_argument('--n-classes', type=int, required=True)
parse... | 0.697094 | 0.054727 |
import sys
import os
import glob
import numpy as np
import cv2
import argparse
import math
# Helper Utilities
def remove_contents( top ):
for root, dirs, files in os.walk( top, topdown=False ):
for name in files:
os.remove( os.path.join( root, name ) )
for name in dirs:
os.rmdir( os.path.joi... | examples/object_detector_training/deprecated_old_api/create_dir.py |
import sys
import os
import glob
import numpy as np
import cv2
import argparse
import math
# Helper Utilities
def remove_contents( top ):
for root, dirs, files in os.walk( top, topdown=False ):
for name in files:
os.remove( os.path.join( root, name ) )
for name in dirs:
os.rmdir( os.path.joi... | 0.262369 | 0.116563 |
from numpy import ndarray
class Trie():
'''
Objeto árvore Trie básica usada para contagem de palavras.
Modelo utilizado para contagem de palavras apenas contendo letras
maiúsculas e minúsculas, armazenando todos os caracteres que não pertençam
a nenhum dos dois tipos como '?'
'''
d... | Estruturas de Dados/Arvores/ArvoreTrie.py | from numpy import ndarray
class Trie():
'''
Objeto árvore Trie básica usada para contagem de palavras.
Modelo utilizado para contagem de palavras apenas contendo letras
maiúsculas e minúsculas, armazenando todos os caracteres que não pertençam
a nenhum dos dois tipos como '?'
'''
d... | 0.244453 | 0.23709 |
import networkx as nx
import matplotlib.pyplot as plt
E = nx.Graph()
vertex = ['V1','V2','V3','V4','V5','V6']
for vertex in E.graph:
E.add_node(vertex)
E.add_edge('v1', 'v2')
E.add_edge('v2', 'v3')
E.add_edge('v3', 'v1')
E.add_edge('v4', 'v5')
E.add_edge('v6', 'v5')
E.add_edge('v6', 'v4')
G = nx.Graph()
vertex... | SecondDelivery/grafos2.py | import networkx as nx
import matplotlib.pyplot as plt
E = nx.Graph()
vertex = ['V1','V2','V3','V4','V5','V6']
for vertex in E.graph:
E.add_node(vertex)
E.add_edge('v1', 'v2')
E.add_edge('v2', 'v3')
E.add_edge('v3', 'v1')
E.add_edge('v4', 'v5')
E.add_edge('v6', 'v5')
E.add_edge('v6', 'v4')
G = nx.Graph()
vertex... | 0.17113 | 0.442396 |
from typing import List, Optional, Set
from collections import Counter
def part_1() -> int:
draws: List[int] = []
boards: List[List[List[int]]] = []
with open('input.txt', 'r') as f:
draws.extend(int(i) for i in f.readline().split(','))
board: List[List[int]] = []
for line in f:
... | aoc2021/day4/solution.py |
from typing import List, Optional, Set
from collections import Counter
def part_1() -> int:
draws: List[int] = []
boards: List[List[List[int]]] = []
with open('input.txt', 'r') as f:
draws.extend(int(i) for i in f.readline().split(','))
board: List[List[int]] = []
for line in f:
... | 0.708515 | 0.312363 |
# Copyright (c) 2018, NetApp, Inc.
# Licensed under the terms of the Modified BSD License (also known as New or Revised or 3-Clause BSD)
import sys
import json
from functools import wraps
from flask import Flask, send_file, render_template, session, request
import botocore, boto3
import logging
import time
import ma... | app.py |
# Copyright (c) 2018, NetApp, Inc.
# Licensed under the terms of the Modified BSD License (also known as New or Revised or 3-Clause BSD)
import sys
import json
from functools import wraps
from flask import Flask, send_file, render_template, session, request
import botocore, boto3
import logging
import time
import ma... | 0.551815 | 0.091585 |
import math
from datetime import datetime, timedelta, date
import calendar
from .transformation import Transformation
class ExtractBasic(Transformation):
title = "Extract year from {field} into {output}"
key = "Datetime minutes"
fields = {
"field": {"name": "Input", "type": "string", "help": "The... | data_scout/transformations/datetime.py | import math
from datetime import datetime, timedelta, date
import calendar
from .transformation import Transformation
class ExtractBasic(Transformation):
title = "Extract year from {field} into {output}"
key = "Datetime minutes"
fields = {
"field": {"name": "Input", "type": "string", "help": "The... | 0.698535 | 0.455683 |
from flask import (Blueprint, render_template, redirect,
flash, url_for, request)
from flask import json,jsonify,render_template
import pandas as pd
import time
from datetime import datetime
from webapp.models import MyStock,Stock,DataItem,Comment
from webapp.services import getHeaders,getXueqiuHe... | webapp/views/setting.py |
from flask import (Blueprint, render_template, redirect,
flash, url_for, request)
from flask import json,jsonify,render_template
import pandas as pd
import time
from datetime import datetime
from webapp.models import MyStock,Stock,DataItem,Comment
from webapp.services import getHeaders,getXueqiuHe... | 0.322526 | 0.06663 |
from .Base import Object,Rotatable,Owned
from Lib import Img,Vector
from .Machines.Base import Machine,FixedMachine
from Game.Registry import add_recipe
from Game.Research import add_recipesearch
from Game import FX
from Engine.Items import Placeable,MultiSlot,Slot,ammos,resources
from .Machines import MUI
import math
... | Objects/War.py | from .Base import Object,Rotatable,Owned
from Lib import Img,Vector
from .Machines.Base import Machine,FixedMachine
from Game.Registry import add_recipe
from Game.Research import add_recipesearch
from Game import FX
from Engine.Items import Placeable,MultiSlot,Slot,ammos,resources
from .Machines import MUI
import math
... | 0.362405 | 0.30793 |
import os
import dj_database_url
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECRET KEY
SECRET_KEY = os.getenv('SECRET_KEY')
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HO... | pictor/settings.py | import os
import dj_database_url
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECRET KEY
SECRET_KEY = os.getenv('SECRET_KEY')
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HO... | 0.225161 | 0.04747 |
class ExternalDefinitionCreationOptions(object,IDisposable):
"""
An option class used for creating a new shared parameter definition,including options such as name,type,visibility,
Guid description and modifiable flag.
ExternalDefinitionCreationOptions(name: str,type: ParameterType)
"""
def Disp... | release/stubs.min/Autodesk/Revit/DB/__init___parts/ExternalDefinitionCreationOptions.py | class ExternalDefinitionCreationOptions(object,IDisposable):
"""
An option class used for creating a new shared parameter definition,including options such as name,type,visibility,
Guid description and modifiable flag.
ExternalDefinitionCreationOptions(name: str,type: ParameterType)
"""
def Disp... | 0.70202 | 0.140101 |
from scipy.stats import binom
from matplotlib import pyplot as plt
import numpy as np
from xgboost import XGBClassifier, XGBRegressor
def get_pit(cdes: np.ndarray, z_grid: np.ndarray, z_test: np.ndarray) -> np.ndarray:
"""
Calculates PIT based on CDE
cdes: a numpy array of conditional density estimates;
... | utils.py | from scipy.stats import binom
from matplotlib import pyplot as plt
import numpy as np
from xgboost import XGBClassifier, XGBRegressor
def get_pit(cdes: np.ndarray, z_grid: np.ndarray, z_test: np.ndarray) -> np.ndarray:
"""
Calculates PIT based on CDE
cdes: a numpy array of conditional density estimates;
... | 0.95267 | 0.840259 |
from environment import Environment
import random
class Agent:
"""Q learning Agent"""
def __init__(self, epsilon=0.1, alpha=1.0):
self.initialize_V()
self.epsilon = epsilon
self.alpha = alpha
self.reset_possible_states()
def initialize_V(self):
"""initializes State... | src/agent.py | from environment import Environment
import random
class Agent:
"""Q learning Agent"""
def __init__(self, epsilon=0.1, alpha=1.0):
self.initialize_V()
self.epsilon = epsilon
self.alpha = alpha
self.reset_possible_states()
def initialize_V(self):
"""initializes State... | 0.731922 | 0.522202 |
import glob
from time import time
from preprocess_text import corpus
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import NMF, LatentDirichletAllocation
from nltk import word_tokenize
from nltk.stem import WordNetLemmatizer
import re
NYT_CORPUS_PATH ... | src/lda_topic_extraction.py | import glob
from time import time
from preprocess_text import corpus
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import NMF, LatentDirichletAllocation
from nltk import word_tokenize
from nltk.stem import WordNetLemmatizer
import re
NYT_CORPUS_PATH ... | 0.475362 | 0.152316 |
import argparse
import os
import logging
import time
import hashlib
import random
import json
from io import BytesIO
from isis2json import isis2json
from xylose.scielodocument import Journal
from articlemetarpcclient import ArticleMetaRPCClient
THROTTLE_TIME = 60*10 # 10 minutes
def _config_logging(logging_level='... | monitor/monitor.py | import argparse
import os
import logging
import time
import hashlib
import random
import json
from io import BytesIO
from isis2json import isis2json
from xylose.scielodocument import Journal
from articlemetarpcclient import ArticleMetaRPCClient
THROTTLE_TIME = 60*10 # 10 minutes
def _config_logging(logging_level='... | 0.494385 | 0.103749 |
import logging
from typing import Callable, Any, Union, Dict, List, Optional
logger = logging.getLogger(__name__)
LMB = 1
MMB = 2
RMB = 3
class EventSubscription:
callback: Callable[[Any], None]
event_type: int
subtype: Union[int, None]
conditions: Dict[str, Any]
kwargs: List[str]
as_args:... | app/events/subscriptions.py | import logging
from typing import Callable, Any, Union, Dict, List, Optional
logger = logging.getLogger(__name__)
LMB = 1
MMB = 2
RMB = 3
class EventSubscription:
callback: Callable[[Any], None]
event_type: int
subtype: Union[int, None]
conditions: Dict[str, Any]
kwargs: List[str]
as_args:... | 0.734786 | 0.183246 |
from __future__ import print_function
import time
import json
import datetime
import sys
from app.os_abstract import Os
from activity import ActivityList, TimeEntry, Activity
class OsFactory:
browsers = ('Google Chrome', 'Mozilla Firefox', 'Microsoft Edge')
def __init__(self):
self.active_window_nam... | app/os_factory.py | from __future__ import print_function
import time
import json
import datetime
import sys
from app.os_abstract import Os
from activity import ActivityList, TimeEntry, Activity
class OsFactory:
browsers = ('Google Chrome', 'Mozilla Firefox', 'Microsoft Edge')
def __init__(self):
self.active_window_nam... | 0.21215 | 0.058669 |
import pyaudio
import threading
from abc import abstractmethod
from typing import Generator, List
from .bases import AbstractStream, InputStreamMixin, OutputStreamMixin
from .consts import DEFAULT_RATE, DEFAULT_CHUNK, DEFAULT_CHANNELS, DEFAULT_SAMPLE_FORMAT
__all__ = ["PyAudioStream", "RecordingStream", "PlaybackStre... | zoombot/audio.py | import pyaudio
import threading
from abc import abstractmethod
from typing import Generator, List
from .bases import AbstractStream, InputStreamMixin, OutputStreamMixin
from .consts import DEFAULT_RATE, DEFAULT_CHUNK, DEFAULT_CHANNELS, DEFAULT_SAMPLE_FORMAT
__all__ = ["PyAudioStream", "RecordingStream", "PlaybackStre... | 0.834508 | 0.190781 |
import csv
import glob
import os
import random
from abc import ABC, abstractmethod
from typing import List, Callable, Union, Dict
import numpy as np
import pandas as pd
import torch
import tqdm
from PIL import Image
from torch.utils.data import Dataset, DataLoader
from torch.nn import functional as F
from src import ... | src/datasets.py | import csv
import glob
import os
import random
from abc import ABC, abstractmethod
from typing import List, Callable, Union, Dict
import numpy as np
import pandas as pd
import torch
import tqdm
from PIL import Image
from torch.utils.data import Dataset, DataLoader
from torch.nn import functional as F
from src import ... | 0.850096 | 0.298079 |
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash_docs.reusable_components import Section, Chapter
from dash_docs import styles
from dash_docs import tools
from dash_docs import reusable_components as rc
examples = tools.load_examples(__file__)
preamble ... | dash_docs/chapters/dash_datatable/index.py | import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash_docs.reusable_components import Section, Chapter
from dash_docs import styles
from dash_docs import tools
from dash_docs import reusable_components as rc
examples = tools.load_examples(__file__)
preamble ... | 0.658527 | 0.549399 |
import json
import requests as req
from app.api.helpers.service import Gis as gs
from app.api.base.base_sql import Sql
from app.api.base import base_name as names
def get_from_google(query):
"""
:param query: достопримечательности+город
:return: list с точками
"""
key = "AIzaSyDMIfc6_9K7574xu18dG6a... | backend/app/api/src/touches_from_api.py | import json
import requests as req
from app.api.helpers.service import Gis as gs
from app.api.base.base_sql import Sql
from app.api.base import base_name as names
def get_from_google(query):
"""
:param query: достопримечательности+город
:return: list с точками
"""
key = "AIzaSyDMIfc6_9K7574xu18dG6a... | 0.315314 | 0.125413 |
import math
import matplotlib.pyplot as plt
import numpy as np
import pytest
from kneed.data_generator import DataGenerator as dg
from kneed.knee_locator import KneeLocator
from kneed.shape_detector import find_shape
@pytest.mark.parametrize("interp_method", ["interp1d", "polynomial"])
def test_figure2(interp_method)... | tests/test_sample.py | import math
import matplotlib.pyplot as plt
import numpy as np
import pytest
from kneed.data_generator import DataGenerator as dg
from kneed.knee_locator import KneeLocator
from kneed.shape_detector import find_shape
@pytest.mark.parametrize("interp_method", ["interp1d", "polynomial"])
def test_figure2(interp_method)... | 0.813238 | 0.660911 |
import csv
import pymysql
import requests
import re
from lxml import html
import time
import urllib3
from requests.adapters import HTTPAdapter
# 请求头
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 "
"Safari/537.36 "
}
# 登... | spider/test/douban_movie_info.py | import csv
import pymysql
import requests
import re
from lxml import html
import time
import urllib3
from requests.adapters import HTTPAdapter
# 请求头
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 "
"Safari/537.36 "
}
# 登... | 0.078855 | 0.07343 |
from slackbot.bot import respond_to, listen_to, default_reply
import re
# 外部.py（自作モジュール）の読み込み
from plugins.modules.weather_module import WeatherModule
from plugins.modules.apiai_module import ApiaiModule
# 自作モジュールのインスタンス化
wm = WeatherModule()
am = ApiaiModule()
info="""[とりせつ]
```
私は成長中です．いろんな機能を習得... | plugins/reply_funcs.py | from slackbot.bot import respond_to, listen_to, default_reply
import re
# 外部.py（自作モジュール）の読み込み
from plugins.modules.weather_module import WeatherModule
from plugins.modules.apiai_module import ApiaiModule
# 自作モジュールのインスタンス化
wm = WeatherModule()
am = ApiaiModule()
info="""[とりせつ]
```
私は成長中です．いろんな機能を習得... | 0.26588 | 0.666822 |
from django.http import HttpResponse, JsonResponse, FileResponse
from django.shortcuts import render,redirect,reverse
from django.contrib.auth.decorators import login_required
from dzkd.settings import BASE_DIR
import re
import smtplib
from email.mime.text import MIMEText
from .models import *
import json
import qrcode... | index/views.py | from django.http import HttpResponse, JsonResponse, FileResponse
from django.shortcuts import render,redirect,reverse
from django.contrib.auth.decorators import login_required
from dzkd.settings import BASE_DIR
import re
import smtplib
from email.mime.text import MIMEText
from .models import *
import json
import qrcode... | 0.261425 | 0.074366 |
from typing import Any
from dltb.base.observer import Observable, change
class Config(Observable, method='configChanged', changes={'config_changed'}):
"""A :py:class:Config object provides configuration data. It is an
:py:class:Observable, allowing :py:class:Engine and user
interfaces to be notified on ... | base/config.py | from typing import Any
from dltb.base.observer import Observable, change
class Config(Observable, method='configChanged', changes={'config_changed'}):
"""A :py:class:Config object provides configuration data. It is an
:py:class:Observable, allowing :py:class:Engine and user
interfaces to be notified on ... | 0.8956 | 0.242991 |
__all__ = ['Client']
import asyncio
import base64
import binascii
import gzip
import hashlib
import json
import random
import re
import socket
import time
import uuid
from typing import ClassVar, Dict, List, Literal, Optional, Tuple, Union
import aiohttp
import cv2 as cv
import numpy as np
from bs4 import BeautifulSo... | aiotieba/api.py | __all__ = ['Client']
import asyncio
import base64
import binascii
import gzip
import hashlib
import json
import random
import re
import socket
import time
import uuid
from typing import ClassVar, Dict, List, Literal, Optional, Tuple, Union
import aiohttp
import cv2 as cv
import numpy as np
from bs4 import BeautifulSo... | 0.438064 | 0.059401 |
import pandas as pd
import pymongo
from bokeh.plotting import cursession, figure, output_server, push
from bokeh.models.formatters import DatetimeTickFormatter, PrintfTickFormatter
from bokeh import embed
from json import load
from urllib.request import urlopen
import time
client = pymongo.MongoClient()
db = client['b... | app/run_charts_performance.py | import pandas as pd
import pymongo
from bokeh.plotting import cursession, figure, output_server, push
from bokeh.models.formatters import DatetimeTickFormatter, PrintfTickFormatter
from bokeh import embed
from json import load
from urllib.request import urlopen
import time
client = pymongo.MongoClient()
db = client['b... | 0.505615 | 0.251401 |
import base64
import hashlib
import json
import re
from datetime import datetime
import pytz
from dateutil import parser
from connaisseur.exceptions import (
InvalidTrustDataFormatError,
NoSuchClassError,
NotFoundException,
ValidationError,
WrongKeyError,
)
from connaisseur.trust_root import Trust... | connaisseur/validators/notaryv1/trust_data.py | import base64
import hashlib
import json
import re
from datetime import datetime
import pytz
from dateutil import parser
from connaisseur.exceptions import (
InvalidTrustDataFormatError,
NoSuchClassError,
NotFoundException,
ValidationError,
WrongKeyError,
)
from connaisseur.trust_root import Trust... | 0.777215 | 0.221645 |