id stringlengths 3 8 | content stringlengths 100 981k |
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11416777 | import json
import torch
from allennlp.fairness.bias_utils import load_words, load_word_pairs
from allennlp.common.file_utils import cached_path
from allennlp.common.testing.test_case import AllenNlpTestCase
from allennlp.data import Instance, Token
from allennlp.data.batch import Batch
from allennlp.data import Voca... |
11416789 | import re
from typing import IO, Iterator, Optional, List, Tuple, Set
from interfaces import ConnectionIDSink
from core import wl
from core.output import Output
from core.util import *
class WlPatterns:
instance = None
def __init__(self) -> None:
int_re = r'(?P<int>-?\d+)'
float_re = r'(?P<fl... |
11416823 | import os
import sys
sys.path.insert(0, os.path.abspath('.'))
extensions = ['sphinx.ext.autosummary']
autosummary_generate = True
autosummary_filename_map = {
"autosummary_dummy_module": "module_mangled",
"autosummary_dummy_module.bar": "bar"
}
|
11416831 | import numpy as np
import torch
import unittest
from network.module import (ActNorm, LinearZeros, Conv2d, Conv2dZeros,
Invertible1x1Conv, Permutation2d, Split2d, Squeeze2d)
from misc import ops
class TestModule(unittest.TestCase):
def test_actnorm(self):
# initial variables
... |
11416840 | import numpy as np
import torch
from dataclasses import dataclass
from typing import List
from jiant.tasks.core import (
BaseExample,
BaseTokenizedExample,
BaseDataRow,
BatchMixin,
Task,
TaskTypes,
)
from jiant.tasks.lib.templates.shared import (
labels_to_bimap,
add_cls_token,
crea... |
11416869 | import cgi
def main():
if cgi.dictionary is None or not cgi.dictionary.has_key('file'):
show_form()
else:
show_file()
def show_form(error = ''):
if error != '':
error = '\t\t\t' + error + ' cannot be displayed.<br>\n'
cgi.html('''<html>
\t<head>
\t\t<title>
\t\t\tPython Script ... |
11416912 | from threading import Semaphore
mutex = Semaphore(1)
track = Semaphore(0)
planes = []
landing_tracks = []
active_landing_tracks = 0 |
11416927 | import struct_value
b = struct_value.Bar()
b.a.x = 3
if b.a.x != 3:
raise RuntimeError
b.b.x = 3
if b.b.x != 3:
raise RuntimeError
# Test dynamically added attributes - Github pull request #320
b.added = 123
if b.added != 123:
raise RuntimeError("Wrong attribute value")
if not b.__dict__.has_key("add... |
11416930 | from datetime import datetime, time
from city_scrapers_core.constants import BOARD, COMMITTEE
from city_scrapers_core.items import Meeting
from city_scrapers_core.spiders import CityScrapersSpider
class ChiMetroPierExpositionSpider(CityScrapersSpider):
name = "chi_metro_pier_exposition"
agency = "Chicago Met... |
11416955 | import unittest
import shutil
import sys
import os
from pathlib import Path
import filecmp
from azure.storage.blob import BlockBlobService
# Allow us to import utils
config_dir = str(Path.cwd().parent / "utils")
if config_dir not in sys.path:
sys.path.append(config_dir)
from config import Config
tag_dir = str(Pa... |
11416977 | from .utils.Classes.RegEx import RegEx
from .utils.assert_string import assert_string
def is_btc_address(input: str) -> bool:
input = assert_string(input)
bech32 = RegEx("^(bc1)[a-z0-9]{25,39}$")
base58 = RegEx("^(1|3)[A-HJ-NP-Za-km-z1-9]{25,39}$")
if input.startswith('bc1'):
return bech32.m... |
11417002 | def evaluate_equation_process_add_sub(operation):
return (operation == '+' or operation == '-')
def evaluate_equation_process(equation, return_on_first_found):
operators = {'/': (lambda a, b: a / b),
'*': (lambda a, b: a * b),
'+': (lambda a, b: a + b),
'-': ... |
11417006 | import logging
import os
import time
class Logger:
def __init__(self, logdir, rank, type='torch', debug=False, filename=None, summary=True, step=None):
self.logger = None
self.type = type
self.rank = rank
self.step = step
self.logdir_results = os.path.join("logs", "results"... |
11417141 | def f(x):
try:
f(x)
except:
f(x)
try:
f(x)
except Exception:
f(x)
try:
f(x)
except Exception as e:
f(x, e)
|
11417271 | import asyncpg
from typing import Any, NoReturn
from discord.utils import MISSING
from donphan import create_pool, create_db, MaybeAcquire, OPTIONAL_CODECS
from .tables import *
from .emoji import *
from .scheduler import *
class NoDatabase(MaybeAcquire):
def __init__(self, *args: Any, **kwargs: Any):
... |
11417284 | import numpy as np
from matplotlib import pyplot as plt
from evolute import GeneticPopulation
from evolute.evaluation import SimpleFitness
TARGET = np.ones(10) * 0.5
pop = GeneticPopulation(loci=10,
fitness_wrapper=SimpleFitness(lambda ind: np.linalg.norm(ind - TARGET)))
history = pop.run(1... |
11417290 | import seamless
from seamless.core import macro_mode_on
from seamless.core import context, cell, transformer, unilink
from seamless import get_hash
seamless.set_ncores(0)
from seamless import communion_server
communion_server.configure_master(
transformation_job=True,
transformation_status=True,
)
with macro_... |
11417343 | import unittest
from rma.jemalloc import Jemalloc
class JemallocTestCase(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_align(self):
data = [[79, 80], [253, 256], [512, 512], [513, 768], [3645, 3840], [4098, 8192], [4200304, 8388608]]
for give... |
11417377 | from ...core.enum.ea_mode import EAMode
from ...core.enum.op_size import OpSize
from ...core.enum import ea_mode_bin
from ...core.enum.ea_mode_bin import parse_ea_from_binary
from ...simulator.m68k import M68K
from ...core.opcodes.opcode import Opcode
from ...core.util.split_bits import split_bits
from ...core.util imp... |
11417414 | import logging
import os
import numpy as np
from das_framework.driver import AbstractDASErrorMetrics
import programs.metrics.error_metrics_node as em
import programs.metrics.metric_group as mgmod
import sys
import time
from pyspark.sql import Row
import ast
import json
import pickle
CONFIG_DELIM = ", "
BLANK = ""
NATI... |
11417416 | import numpy as np
import warnings
from .base_regularizer import BaseRegularizer
class TopicPriorRegularizer(BaseRegularizer):
"""
TopicPriorRegularizer adds prior beta_t to every column
in Phi matrix of ARTM model. Thus every phi_wt has
preassigned prior probability of being attached to topic t.
... |
11417422 | import os.path
import numpy as np
import torch
import torch.nn as nn
from torch.optim import Optimizer
from torch.autograd import Variable
import torch.autograd as autograd
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
"""
This module implements Wasserstein Generative Adversarial Net... |
11417472 | import argparse
import pkg_resources
try:
# pip < 20
from pip._internal.req import parse_requirements
from pip._internal.download import PipSession
except:
# pip >= 20
from pip._internal.req import parse_requirements
from pip._internal.network.session import PipSession
def combine_requirements... |
11417577 | import numpy as np
from numpy.linalg import inv
from utils.JES3D_transform_utils import file_lines_to_list
import copy
def read_cam(str):
cam = {}
wrds=str.split(' ')
if not len(wrds)==14:
return cam
vals = [float(w) for w in wrds]
cam['id'] = vals[0]+1
cam['f'] = vals[1]
cam['R'] = ... |
11417581 | from ..utils import validate_activation_code
from django.utils.http import urlsafe_base64_decode as uid_decoder
from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
class VerifyEmailSerializeras(serializers.Serializer):
activation_code = serializers.CharFie... |
11417583 | class InstanceData(object):
"""
Holds instance data associated with a performance counter sample.
InstanceData(instanceName: str,sample: CounterSample)
"""
@staticmethod
def __new__(self,instanceName,sample):
""" __new__(cls: type,instanceName: str,sample: CounterSample) """
pass
InstanceName... |
11417585 | from bottle import tob
from .bottle_tools import ServerTestBase
from tests.examples import quickstart
import unittest
from urllib.parse import unquote
from urllib.parse import parse_qs
class test_quickstart(ServerTestBase):
def setUp(self):
import importlib
importlib.reload(quickstart)
sup... |
11417599 | from django.test import SimpleTestCase
from crits.relationships.handlers import forge_relationship, update_relationship_reasons, update_relationship_confidences
from crits.core.user import CRITsUser
from crits.campaigns.campaign import Campaign
from crits.vocabulary.relationships import RelationshipTypes
TUSER_NAME =... |
11417607 | import unittest
from PyStacks.PyStacks.template import templateCF
class TestTemplate(unittest.TestCase):
def test_templateCF_ACM(self):
resources = {
"certificatemanager": {
"shopkablamocomau": {
"domainname": "shop.kablamo.com.au",
"do... |
11417623 | from .util.metadata_helper import load_metadata
def get_dataset_class(name):
if name == 'RoboNet':
from .robonet_dataset import RoboNetDataset
return RoboNetDataset
elif name == 'AnnotatedRoboNet':
from .variants.annotation_benchmark_dataset import AnnotationBenchmarkDataset
re... |
11417682 | from mock.mock import patch
import os
import pytest
import ca_test_common
import ceph_osd
fake_cluster = 'ceph'
fake_container_binary = 'podman'
fake_container_image = 'quay.ceph.io/ceph/daemon:latest'
fake_id = '42'
fake_ids = ['0', '7', '13']
fake_user = 'client.admin'
fake_keyring = '/etc/ceph/{}.{}.keyring'.format... |
11417752 | class Solution:
def findNumOfValidWords(self, words: List[str], puzzles: List[str]) -> List[int]:
trie = {}
def update_trie(word, trie_node):
for letter in word:
if letter not in trie_node:
trie_node[letter] = {}
trie_node = trie_node... |
11417755 | from lego.apps.action_handlers.handler import Handler
from lego.apps.action_handlers.registry import register_handler
from lego.apps.feeds.activity import Activity
from lego.apps.feeds.feed_manager import feed_manager
from lego.apps.feeds.models import NotificationFeed, PersonalFeed
from lego.apps.feeds.verbs import An... |
11417757 | import os
from bentoctl.exceptions import BentoctlException
BENTOML_DOCKER_FILE_PATH = "./env/docker/Dockerfile"
def create_deployable_from_local_bentostore(
bento_path: str,
destination_dir: str, # pylint: disable=unused-argument
bento_metadata: dict, # pylint: disable=unused-argument
overwrite_d... |
11417832 | import numpy as np
from tools.utils import Helper
import matplotlib.pyplot as plt
from scipy.spatial.distance import cdist
import sys
import argparse
import tensorflow as tf
def tf_fake_iou(X: tf.Tensor, centroids: tf.Tensor) -> tf.Tensor:
""" calc the fake iou between x and centroids
Parameters
--------... |
11417841 | from flask import g, request, session
from social.backends.utils import user_backends_data
from social.apps.flask_app.utils import get_helper
from social.utils import module_member
def backends():
"""Load Social Auth current user data to context under the key 'backends'.
Will return the output of social.back... |
11417913 | from click.testing import CliRunner
import yadage.manualcli
import os
import jq
import json
def test_manual_remove(tmpdir):
runner = CliRunner()
workdir = os.path.join(str(tmpdir), "workdir")
metadir = os.path.join(str(tmpdir), "metadir")
statefile = os.path.join(str(tmpdir), "state.json")
result ... |
11417923 | import time
from webwhatsapi import WhatsAPIDriver
print "waiting for QR"
driver = WhatsAPIDriver()
driver.firstrun()
driver.view_unread()
print "bot started"
while True:
time.sleep(1)
print('checking for more messages')
for contact in driver.view_unread():
for message in contact[u'messages']:
driver.send_to_wh... |
11417925 | import sys, random, os, scipy.io, pickle, argparse, time
sys.path.extend(['sampler/', 'utils/'])
import numpy as np
from tqdm import tqdm
from sklearn.externals import joblib
import tensorflow as tf
from sklearn.utils import shuffle
from bnn import evaluate, grad_bnn, logp_bnn
from load_uci import load_uci_data
from ks... |
11417961 | import math
import dgl
import pytorch_lightning as pl
import torch as th
import torch.nn as nn
import torch.nn.functional as F
class NodeExplainerModule(nn.Module):
"""
A Pytorch module for explaining a node's prediction based on its computational graph and node features.
Use two masks: One mask on edges... |
11417965 | import typing as t
import nnf
from nnf.util import T_NNF, Name
class Builder:
"""Automatically deduplicates NNF nodes as you make them, to save memory.
Usage:
>>> builder = Builder()
>>> var = builder.Var('A')
>>> var2 = builder.Var('A')
>>> var is var2
True
As long as the Builder... |
11418013 | import os
from unittest.mock import patch
from util.job import get_job_id
def test_create_job_id():
assert get_job_id() == os.getenv('JOB_ID'), 'job id is created'
@patch.dict('os.environ', {'JOB_ID': 'job_123'})
def test_retrieve_job_id():
assert get_job_id() == 'job_123', 'job id is retrieved'
|
11418015 | from typing import Dict, Tuple
import random
import string
import sha3
from ecdsa import SigningKey, SECP256k1
from secp256k1 import PrivateKey
from .blockchain_pb2 import Transaction, UnverifiedTransaction, Crypto
from .util import param_to_str, param_to_bytes
class SignerBase:
def __init__(self, version: int ... |
11418031 | from compas.datastructures import HalfFace
# ==============================================================================
# Fixtures
# ==============================================================================
# ==============================================================================
# Tests - Schema & j... |
11418034 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from .comodulogram import multiple_band_pass
from .utils.peak_finder import peak_finder
from .utils.validation import check_consistent_shape, check_array
from .utils.validation import check_is_fitted
from .utils.viz import add_colorbar, mpl_palette
... |
11418043 | import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
import sklearn.metrics
from heptrkx import pairwise
fontsize=16
minor_size=14
def get_pos(Gp):
pos = {}
for node in Gp.nodes():
r, phi, z = Gp.node[node]['pos'][:3]
x = r * np.cos(phi)
y = r * np.sin(phi)
... |
11418049 | import matplotlib
import matplotlib.pyplot as plt
import math
import signatory
import torch
matplotlib.rc('text', usetex=True)
matplotlib.rc('font', size=10)
def save(name):
plt.tight_layout()
plt.savefig(name)
plt.close()
time = torch.linspace(0, 1, 10)
path = torch.stack([torch.cos(math.pi * time), t... |
11418064 | from nose.tools import *
import networkx as nx
import networkx.algorithms.approximation as a
def test_min_maximal_matching():
# smoke test
G = nx.Graph()
assert_equal(len(a.min_maximal_matching(G)), 0)
|
11418067 | import yara
from app.services.matches_converter import MatchesConverter
def test_convert():
rule = yara.compile(source='rule foo: bar {strings: $a = "lmn" condition: $a}')
matches = rule.match(data="abcdefgjiklmnoprstuvwxyz")
converted = MatchesConverter.convert(matches)
assert isinstance(converted,... |
11418086 | import torch
from torch import nn
import torch.nn.functional as F
class BroadcastDecoder(nn.Module):
def __init__(self, config):
super().__init__()
self.im_size = 32
self.scale = 4
self.num_class = config.num_class
self.init_grid()
self.g = nn.Sequential(
... |
11418127 | from os import system
def sign_apk(apk_path):
proc = system(
'jarsigner -verbose -sigalg SHA1withRSA -storepass android \
-digestalg SHA1 -keystore sign/key.keystore %s androiddebugkey ' % apk_path
)
return proc == 0 |
11418148 | import os
import re
from django.conf import settings
from jinja2 import Template
def generate_contracts(token):
context = {
'TOKEN_CLASS_NAME': token.class_name,
'TOKEN_PUBLIC_NAME': token.public_name,
'CROWDSALE_CLASS_NAME': token.crowdsale_class_name,
'TOKEN_SYMBOL_NAME': token.... |
11418154 | from data_importers.management.commands import BaseHalaroseCsvImporter
class Command(BaseHalaroseCsvImporter):
council_id = "TOF"
addresses_name = (
"2021-03-15T11:44:05.081204/Torfaen polling_station_export-2021-03-15.csv"
)
stations_name = (
"2021-03-15T11:44:05.081204/Torfaen pollin... |
11418175 | import numpy as np
from numpy.testing import assert_equal
from trackpy.masks import slice_image, mask_image
from trackpy.tests.common import StrictTestCase
class TestSlicing(StrictTestCase):
def test_slicing_2D(self):
im = np.empty((9, 9))
# center
for radius in range(1, 5):
... |
11418197 | from django.core.management.base import BaseCommand
from lxml import etree
import os
import uuid
# import core
from core.models import Transformation, ValidationScenario
class Command(BaseCommand):
help = 'Bootstrap Combine with some demo Transformation and Validation scenarios'
# def add_arguments(self, pa... |
11418229 | import itertools
def chunks(iterable, size=100):
"""Split iterable into equal-sized chunks."""
iterator = iter(iterable)
chunk = list(itertools.islice(iterator, size))
while chunk:
yield chunk
chunk = list(itertools.islice(iterator, size))
|
11418249 | import info
class subinfo(info.infoclass):
def setTargets(self):
for ver in ["1.5.9"]:
self.targets[ver] = f"https://github.com/anholt/libepoxy/releases/download/{ver}/libepoxy-{ver}.tar.xz"
self.targetInstSrc[ ver ] = "libepoxy-" + ver
self.targetDigests['1.5.9'] = (['d168a... |
11418289 | import logging
from typing import List
import click
from aiohttp import web
from schemathesis.cli import CSVOption
try:
from . import _graphql, openapi
except ImportError as exc:
# try/except for cases when there is a different ImportError in the block before, that
# doesn't imply another running environ... |
11418293 | from datasets.SOT.constructor.base_interface import SingleObjectTrackingDatasetConstructor
import os
from datasets.types.data_split import DataSplit
from miscellanies.natural_keys import natural_keys
import numpy as np
from .data_specs.LaSOT_attr import LaSOT_attribute_names, LaSOT_attribute_values, LaSOT_attribute_sho... |
11418298 | import pandas as pd
# get structured data
def get_data(val):
botName = val['botName']
entity = pd.io.json.json_normalize(val['entity_data'], record_path='data', meta='name')
train = pd.io.json.json_normalize(val['intent_data']).drop(['entities'], axis=1).drop_duplicates()
intent_entity = list(set(pd.i... |
11418371 | import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.optim as optim
import itertools
import numpy as np
import random
def soft_max(vec, mask):
batch_size = vec.size(0)
_, idx = torch.max(vec, 1) # B * 1
idx = idx.view(batch_size, 1)
max_score = torch.gather(vec, 1, idx) # B * 1
max_... |
11418422 | import sys
import os
sys.path.append(
os.path.dirname(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
)
from pyspark.sql import DataFrame
from pyspark.sql.functions import split, col, lit
from sparkplus.core.udfs import *
from pyspark.sql.functions import when
class AddressDataFrame(object):
""... |
11418438 | from skimage.util.dtype import convert
from skimage.transform import resize
def resize_image(img, new_width, new_height):
"""Resize image to a ``new_width`` and ``new_height``.
Args:
img (np.array): An image.
new_width (int): New width.
new_height (int): New height.
Retur... |
11418471 | from .mapper import ApiResponse, ApiResponseInterface
from .mapper.types import Timestamp, AnyType
from .model import Caption, Comment
__all__ = ['MediaCommentsResponse']
class MediaCommentsResponseInterface(ApiResponseInterface):
comments: [Comment]
comment_count: int
comment_likes_enabled: bool
nex... |
11418509 | import numpy as np
def circular(diameter):
"""
Calculates the equivalent diameter and projected capture area of a
circular turbine
Parameters
------------
diameter : int/float
Turbine diameter [m]
Returns
---------
equivalent_diameter : float
Equivalent... |
11418532 | import torch
import torch.nn as nn
import torch.nn.init as init
import torch.nn.functional as F
from codes.models.modules import ScaledDotProductAttention, LayerNormalization
import math
from codes.utils import constants as Constants
import pdb
# select device automatically
device = torch.device("cuda:0" if torch.cuda... |
11418578 | import os
from pathlib import Path
from typing import Dict, Optional, Union
import torch
import torch.nn as nn
from torch.tensor import Tensor
from neuro_comma.pretrained import PRETRAINED_MODELS
Path_type = Union[Path, str, os.PathLike]
class CorrectionModel(nn.Module):
def __init__(self,
pre... |
11418594 | from .height_compression import HeightCompression
__all__ = {
'HeightCompression': HeightCompression,
}
|
11418605 | from typing import List, Optional
from flask_accepts import responds
from flask_restx import Namespace, Resource
from .models import ShowcaseItem
from .schema import ShowcaseItemSchema
from .service import all_showcase_items_ids, showcase_full_item_by_uid
from .showcase_utils import showcase_item_from_db
api = Names... |
11418625 | from abc import abstractmethod
from abc import ABC
import RootPath
class Dictionary(ABC):
ROOT_PATH = RootPath.get_root().joinpath("Dataset/Dictionary/")
def __init__(self, dictionary_name: str):
self.dictionary_name = dictionary_name
@abstractmethod
def has_dictionary(self):
pass
... |
11418635 | import sys, os
import time
import logging
import itertools
import re
# lib_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '..', 'python-iterator-repeater')
# sys.path.append(lib_path)
STAGING_PATH = '.'
FILE_LIST_SLEEP_INTERVAL = 5
LOG_LEVEL = 'DEBUG'
logging.basicConfig(level=LOG_LEVEL... |
11418650 | import gaptrain as gt
from autode.wrappers.keywords import GradientKeywords
gt.GTConfig.n_cores = 20
system = gt.System(box_size=[10, 10, 10])
system.add_molecules(gt.Molecule('AcOH.xyz'))
# data, gap = gt.active.train(system,
# method_name='xtb',
# temp=1000)
# data.sa... |
11418672 | from ._base import _rule
class Name:
reserved = {}
tokens = ('NAME',)
# Tokens
@_rule(r'[a-zA-Z_][a-zA-Z0-9_]*')
def t_NAME(self, t):
t.type = self.reserved.get(t.value.upper(), 'NAME')
return t
|
11418748 | import numpy as np
from pylj import pairwise as heavy
from pylj import forcefields as ff
from numba import jit
def initialise(
number_of_particles,
temperature,
box_length,
init_conf,
timestep_length=1e-14,
mass=39.948,
constants=[1.363e-134, 9.273e-78],
forcefield=ff.lennard_jones,
):... |
11418932 | import ee
import geemap
# Create a map centered at (lat, lon).
Map = geemap.Map(center=[40, -100], zoom=4)
image = ee.ImageCollection('COPERNICUS/S2') \
.filterDate('2017-01-01', '2017-01-02').median() \
.divide(10000).visualize(**{'bands': ['B12', 'B8', 'B4'], 'min': 0.05, 'max': 0.5})
Map.setCenter(35.2, 31,... |
11419010 | import os
import numpy as np
import re # For cvode RHS output
class DataSaver(object):
comment_symbol = '# '
def __init__(self, sim, filename, entities=None):
self.sim = sim
self.filename = filename
precision = 12
charwidth = 18
self.float_format = "%" + str(charwi... |
11419025 | import torch
import torch.nn as nn
class ChannelAttention(nn.Module):
def __init__(self, in_planes, ratio=16):
super(ChannelAttention, self).__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.max_pool = nn.AdaptiveMaxPool2d(1)
self.fc = nn.Sequential(
nn.Conv2d(in... |
11419047 | import os
import unittest
from collections import namedtuple
from unittest import mock
from .. import *
from mike.mkdocs_utils import docs_version_var
class MockPlugins:
BasePlugin = object
# Mock importing `mkdocs.plugins`, since it can't be imported normally.
real_import = __import__
with mock.patch('builtin... |
11419048 | import numpy, copy
from scipy.optimize import linprog
def run_lp(als, rotDir, dTdTau, dMzdTau, ndof, ncontrols, \
x_rotor, y_rotor, MzSurface, linp_dict ):
"""
This function uses a linear programming formulation to calculate the maximum
thrust ratio and torque ratio for an eVTOL motor wrt nom... |
11419059 | import pathlib
import subprocess
from abc import ABC, abstractmethod
from typing import Sequence
from .exceptions import CommandNotFoundError, RunTargetFileNotSupported
from .reporter import Reporter
class CommandBase(ABC):
@property
@abstractmethod
def name(self) -> str:
...
@abstractmethod... |
11419064 | import io
import pathlib
import zipfile
import requests
import textwrap
class ClientPortalGateway():
def __init__(self) -> None:
"""Initializes the client portal object. """
self._resources_folder = pathlib.Path(__file__).parents[1].joinpath(
'resources'
).resolve()
def ... |
11419069 | import os
import sys
from copy import deepcopy
import yaml
def load():
try:
with open('hamper.conf') as config_file:
config = yaml.load(config_file)
except IOError:
config = {}
config = replace_env_vars(config)
# Fill in data from the env:
for k, v in os.environ.item... |
11419109 | import json
import logging
from flask import jsonify, request, url_for
from flask_restful import Resource
from sqlalchemy import inspect
from sqlalchemy.exc import NoInspectionAvailable
from werkzeug.exceptions import BadRequest, NotFound
from rdr_service import app_util
from rdr_service.config import GAE_PROJECT
fro... |
11419123 | from pyradioconfig.parts.bobcat.calculators.calc_viterbi import Calc_Viterbi_Bobcat
from math import *
class Calc_Viterbi_Sol(Calc_Viterbi_Bobcat):
def calc_swcoeffen_reg(self, model):
afc1shot_en = model.vars.MODEM_AFC_AFCONESHOT.value
fefilt_selected = model.vars.fefilt_selected.value
... |
11419130 | from social.backends.rdio import RdioOAuth1 as RdioOAuth1Backend, \
RdioOAuth2 as RdioOAuth2Backend
|
11419135 | from __future__ import print_function, division
import os
import numpy as np
import warnings
from astropy.io.votable import parse
from astropy.io.votable.tree import VOTableFile, Resource, Field, Param
from astropy.io.votable.tree import Table as VOTable
from .exceptions import TableException
from .helpers import sm... |
11419136 | import os
import time
import multiprocessing as mp
import multiprocessing.pool
import buzzard as buzz
import numpy as np
import scipy.ndimage
import example_tools
from part1 import test_raster
def main():
return # None of the features shown here are implemented yet
path = example_tools.create_random_elevatio... |
11419143 | class CLI(object):
def __init__(self):
self.modes = {
'request': self.request,
'response': self.response,
'parse': {
'request': self.parse_request,
'response': self.parse_response,
}
}
|
11419197 | from {{ cookiecutter.underscored }} import example_function
def test_example_function():
assert example_function() == 2
|
11419214 | from ipykernel.comm import Comm
from ipywidgets import Widget
#-----------------------------------------------------------------------------
# Utility stuff from ipywidgets tests
#
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
#-----------------------------------... |
11419243 | import unittest
from minfraud.request import maybe_hash_email
class TestRequest(unittest.TestCase):
def test_maybe_hash_email(self):
tests = [
{
"name": "no email",
"input": {"device": {"ip_address": "1.1.1.1"}},
"expected": {"device": {"ip_addr... |
11419269 | from django.core.management.base import BaseCommand
from daiquiri.core.constants import GROUPS
from daiquiri.core.utils import setup_group
class Command(BaseCommand):
def handle(self, *args, **options):
for name in GROUPS:
group, created = setup_group(name)
if created:
... |
11419282 | import unittest
from crossword import Crossword
class CrosswordTestCase(unittest.TestCase):
def test_crossword_width_needs_to_be_one_or_more(self):
with self.assertRaises(ValueError) as cm:
Crossword(0, 10)
self.assertEqual(str(cm.exception), "Width needs to be at least one")
de... |
11419288 | import sublime, sublime_plugin, os
ST3 = int(sublime.version()) >= 3000
class SublimeFileBrowserFixUpPaths(sublime_plugin.TextCommand):
'''
usage: open console and run:
view.run_command('sublime_file_browser_fix_up_paths')
purpose: ensure that all paths end with os.sep
'''
def run(self, ed... |
11419293 | import tensorflow as tf
import numpy
from scipy import misc
import models
def optimistic_restore(session, save_file):
reader = tf.train.NewCheckpointReader(save_file)
saved_shapes = reader.get_variable_to_shape_map()
var_names = sorted([(var.name, var.name.split(':')[0]) for var in tf.global_variables() if var... |
11419299 | import nox.sessions
PYTHON_VERSIONS = ['3.7', '3.8', '3.9']
SQLALCHEMY_VERSIONS = [
*(f'1.2.{x}' for x in range(0, 1 + 19)),
*(f'1.3.{x}' for x in range(0, 1 + 24)),
# '1.4.0b3', # not yet
]
SQLALCHEMY_VERSIONS.remove('1.2.9') # bug
nox.options.reuse_existing_virtualenvs = True
nox.options.sessions = [... |
11419310 | from django.templatetags.static import static as get_static_url
from django.shortcuts import redirect
from .exceptions import UnknownMessageTypeError
from .models import Dispatch
from .signals import sig_unsubscribe_failed, sig_mark_read_failed
def _generic_view(message_method, fail_signal, request, message_id, disp... |
11419357 | def find_missing_number(sequence):
if not sequence:
return 0
try:
sequence = set(int(a) for a in sequence.split())
except ValueError:
return 1
for b in xrange(1, max(sequence) + 1):
if b not in sequence:
return b
return 0
|
11419380 | import random
while True:
a=random.randint(1,100)
b=None
while a!=b:
b=int(input("Guess a Number between (1-100): "))
if a<b:
print("Your guess is too high")
elif a>b:
print("Your guess is too low")
print("Congratulations! You gussed the number... |
11419385 | import unittest
from tests.recipes.recipe_lib_test import BaseTestForMakeRecipe
class TestLibxml2Recipe(BaseTestForMakeRecipe, unittest.TestCase):
"""
An unittest for recipe :mod:`~pythonforandroid.recipes.libxml2`
"""
recipe_name = "libxml2"
sh_command_calls = ["./autogen.sh", "autoreconf", "./co... |
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