python_code stringlengths 0 258k |
|---|
## @package normalization
# Module caffe2.python.helpers.normalization
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import scope
from caffe2.python.modeling.parameter_info import ParameterTags
fro... |
## @package db_input
# Module caffe2.python.helpers.db_input
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
def db_input(model, blobs_out, batch_size, db, db_type):
dbreader_name = "dbreader_" + db
dbreader = ... |
# Copyright (c) 2016-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace, scope
from caffe2.python.model_helper import ModelHelper
import numpy as np
def sigmoid(x):
return 1.0 / (1.0 + np.exp(-x))
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, lstm_benchmark, utils
from copy import copy
@utils.debug
def Compare(args):
results = [... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import uuid
from caffe2.distributed.python import StoreHandlerTimeoutError
from caffe2.distributed.store_ops_test_util import StoreOpsTests
from caffe2.python ... |
## @package store_ops_test_util
# Module caffe2.distributed.store_ops_test_util
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from multiprocessing import Process, Queue
import numpy as np
from caffe2.python import ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import errno
import os
import tempfile
import shutil
from caffe2.distributed.python import StoreHandlerTimeoutError
from caffe2.distributed.store_ops_test_util import St... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import sys
sizeof = {'float': 4, 'float16': 2, 'uint8_t': 1}
def unroll(uf, IndexType, InType, OutType, use_weights, isa, fused):
def compute(regid,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy.sparse import coo_matrix
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.pyth... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util a... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy.sparse import coo_matrix
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.pyth... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy.sparse import coo_matrix
from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
def test_reshape(old_shap... |
## @package convnet_benchmarks
# Module caffe2.experiments.python.convnet_benchmarks
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
"""
Benchmark for common convnets.
(NOTE: Numbers below prior with missing parameter=... |
## @package device_reduce_sum_bench
# Module caffe2.experiments.python.device_reduce_sum_bench
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import itertools
import logging
import os
from six import ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util a... |
## @package SparseTransformer
# Module caffe2.experiments.python.SparseTransformer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace
import scipy.sparse
class NetDefNode():
def _... |
## @package net_construct_bench
# Module caffe2.experiments.python.net_construct_bench
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import logging
import time
from caffe2.python import workspace, da... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import hypothesis.strategies as st
from hypothesis import given, assume, settings
import numpy as np
import time
import os
from caffe2.python import core,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, dyndep, test_util
dyndep.InitOpsLibrary('@/caffe2/caffe2/contrib/warpctc:ctc_ops')
workspace.GlobalInit(["pyth... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import hypothesis.strategies as st
from hypothesis import given, assume
import numpy as np
import time
import os
from caffe2.proto import caffe2_pb2
from ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import cPickle as pickle
from collections import OrderedDict
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, scope
im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from abc import abstractmethod
class Meter(object):
@abstractmethod
def __init__(self, **kwargs):
pass
@abstractmethod
def Reset(self):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.contrib.playground.meter as Meter
from caffe2.python import workspace
import numpy as np
class ComputeTopKAccuracy(Meter.Meter):
# Python default argu... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from abc import abstractmethod
from caffe2.python import workspace
from caffe2.python import timeout_guard
from caffe2.python import data_parallel_model
from . import ch... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
# Input
import caffe2.contrib.playground.resnetdemo.\
gfs_IN1k as gfs_IN1k # noqa
# model
import caffe2.contrib.playground.resnetdemo.\
IN1k_resnet as IN1k_resn... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import timeout_guard
def fun_conclude_operator(self):
# Ensure the program exists. This is to "fix" some unknown problems
# causing the job so... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import json
import caffe2.contrib.playground.AnyExp as AnyExp
import logging
logging.basicConfig()
log = logging.getLogger("AnyExpOnTerm")
log.setLevel(l... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import inspect
import logging
logging.basicConfig()
log = logging.getLogger("ModuleRegister")
log.setLevel(logging.DEBUG)
MODULE_MAPS = []
def registerModuleMap(module... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.contrib.playground.meter as Meter
from caffe2.python import workspace
class ComputeLoss(Meter.Meter):
def __init__(self, opts=None, blob_name=''):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
def gen_param_update_builder_fun(self, model, dataset, is_train):
if not is_train:
return None
else:
def add_parameter_update_ops(model):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
logging.basicConfig()
log = logging.getLogger("AnyExp")
log.setLevel(logging.DEBUG)
# For more depths, add the block config here
BLOCK_CONFIG = {
18: ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from caffe2.python import workspace, cnn, core
from caffe2.python import timeout_guard
from caffe2.proto import caffe2_pb2
def init_model(self):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import caffe2.python.models.resnet as resnet
def gen_forward_pass_builder_fun(self, model, dataset, is_train):
def create_resnet50_model_ops(model, loss_scale):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
# # example1 using gfs as input source.
def gen_input_builder_fun(self, model, dataset, is_train):
if is_train:
input_path = self.opts['input']['train_input_... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from caffe2.python import dyndep
dyndep.InitOpsLibrary('@/caffe2/caffe2/distributed:file_store_handler_ops')
# rendezvous shou... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import workspace, core
from caffe2.proto import caffe2_pb2
def gen_param_update_builder_fun(self, model, dataset, is_train):
if not is_train:
... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
import hypothesis.strategies as st
from multiprocessing import Process, Queue
import numpy as np
import os
import pic... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dyndep
import caffe2.python.hypothesis_test_util as hu
from hypothesis import given
import hypothesis.strategies as st
import numpy as np... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dyndep
import caffe2.python.hypothesis_test_util as hu
from hypothesis import given
import hypothesis.strategies as st
import numpy as np... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hypothesis import given
from caffe2.python import core, workspace
from caffe2.proto import caffe2_pb2
import caffe2.python.hypothesis_test_util as hu
import hypothe... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
import glob
import json
import numpy as np
example_files = glob.glob('example_*.c2s')
for ex in example_files:
print('Runni... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, dyndep, workspace
dyndep.InitOpsLibrary("@/caffe2/caffe2/contrib/prof:cuda_profile_op... |
## @package htrace_to_chrome
# Module caffe2.contrib.prof.htrace_to_chrome
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import json
import re
import sys
display_levels = ["network", "worker", "opera... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import bytes
import copy
import logging
import os
import six
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
import tensorflo... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import click.testing
import numpy as np
import os
import tempfile
import unittest
from caffe2.python import brew, core, model_helper
import caffe2.contrib.tensorboard.te... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import click
import collections
import logging
import numpy as np
import os
from caffe2.proto import caffe2_pb2
from caffe2.python import core
import caffe2.contrib.tens... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from caffe2.proto import caffe2_pb2
import caffe2.python.cnn as cnn
import caffe2.python.core as core
import caffe2.contrib.tensorboard.tensorboard_expor... |
#!/bin/env python
# Copyright (c) 2016-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, dyndep
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np... |
import numpy as np
from torch import nn
from torch.autograd import Variable, Function
import torch.onnx
import onnx
import caffe2.python.onnx.backend
class MyFunction(Function):
@staticmethod
def forward(ctx, x, y):
return x*x + y
@staticmethod
def symbolic(graph, x, y):
x2 = graph.at... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... |
## @package process
# Module doxygen.process
# Script to insert preamble for doxygen and regen API docs
import glob, os, shutil
# Module caffe2...caffe2.python.control_test
def insert(originalfile,first_line,description):
with open(originalfile,'r') as f:
f1 = f.readline()
if(f1.find(first_line)<0... |
## @package diagnose_protobuf
# Module scripts.diagnose_protobuf
"""Diagnoses the current protobuf situation.
Protocol buffer needs to be properly installed for Caffe2 to work, and
sometimes it is rather tricky. Specifically, we will need to have a
consistent version between C++ and python simultaneously. This is a
co... |
## @package get_python_cmake_flags
# Module scripts.get_python_cmake_flags
##############################################################################
# Use this script to find your preferred python installation.
##############################################################################
#
# You can use the follo... |
#!/usr/bin/env python
from setuptools import setup, find_packages
from torch.utils.cpp_extension import BuildExtension, CppExtension
setup(
name="torchaudio",
version="0.1",
description="An audio package for PyTorch",
url="https://github.com/pytorch/audio",
author="Soumith Chintala, David Pollack,... |
import unittest
import torch
import torchaudio
import math
import os
class Test_LoadSave(unittest.TestCase):
test_dirpath = os.path.dirname(os.path.realpath(__file__))
test_filepath = os.path.join(test_dirpath, "assets",
"steam-train-whistle-daniel_simon.mp3")
def test_lo... |
from __future__ import print_function
import torch
import torchaudio
import torchaudio.transforms as transforms
import numpy as np
import unittest
class Tester(unittest.TestCase):
sr = 16000
freq = 440
volume = .3
sig = (torch.cos(2 * np.pi * torch.arange(0, 4 * sr) * freq / sr)).float()
# sig = ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# PyTorch documentation build configuration file, created by
# sphinx-quickstart on Fri Dec 23 13:31:47 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# au... |
from __future__ import division, print_function
import torch
from torch.autograd import Variable
import numpy as np
try:
import librosa
except ImportError:
librosa = None
def _check_is_variable(tensor):
if isinstance(tensor, torch.Tensor):
is_variable = False
tensor = Variable(tensor, requ... |
import os.path
import torch
import _torch_sox
from torchaudio import transforms
from torchaudio import datasets
def get_tensor_type_name(tensor):
return tensor.type().replace('torch.', '').replace('Tensor', '')
def check_input(src):
if not torch.is_tensor(src):
raise TypeError('Expected a tensor, ... |
from .yesno import YESNO
from .vctk import VCTK
__all__ = ('YESNO', 'VCTK')
|
from __future__ import print_function
import torch.utils.data as data
import os
import os.path
import shutil
import errno
import torch
import torchaudio
class YESNO(data.Dataset):
"""`YesNo Hebrew <http://www.openslr.org/1/>`_ Dataset.
Args:
root (string): Root directory of dataset where ``processed/... |
from __future__ import print_function
import torch.utils.data as data
import os
import os.path
import shutil
import errno
import torch
import torchaudio
AUDIO_EXTENSIONS = [
'.wav', '.mp3', '.flac', '.sph', '.ogg', '.opus',
'.WAV', '.MP3', '.FLAC', '.SPH', '.OGG', '.OPUS',
]
def is_audio_file(filename):
... |
#! /usr/bin/env python
# MEGA TEST
#
# usage: mega-test.py <config>
#
# This runs several tests in parallel and shows progress bars for each, based on a config file.
#
# <config> is a file containing a list of commands to run along with the expected number of lines
# they will output (to stdout and stderr combined), ... |
#! /usr/bin/env python
from pygments.lexer import RegexLexer
from pygments.token import *
class CapnpLexer(RegexLexer):
name = "Cap'n Proto lexer"
aliases = ['capnp']
filenames = ['*.capnp']
tokens = {
'root': [
(r'#.*?$', Comment.Single),
(r'@[0-9a-zA-Z]*', Name.Decor... |
# Frequent English words, frequencies per billion words
# obtained from http://en.wiktionary.org/
frequencies = {
"the" : 56271872,
"of" : 33950064,
"and" : 29944184,
"to" : 25956096,
"in" : 17420636,
"i" : 11764797,
"that" : 11073318,
"was" : 10078245,
"his" : 8799755,
... |
#!/usr/bin/env python
import sys
import re
import frequency
max_occurrences = 1000
filter_re = sys.argv[1:] if len(sys.argv) > 1 else ['.*']
files = [
# "macros.tex",
"front.tex",
"preface.tex",
"introduction.tex",
"preliminaries.tex",
"basics.tex",
"logic.tex",
"equivalences.tex",
... |
#!/usr/bin/env python
# This script generates symbol images from which the
# torus picture is then assembled.
import subprocess
import os
import os.path
symbols = [
r"$$\sum$$",
r"$$\prod$$",
r"$$\lambda$$",
r"$$\times$$",
r"$$\simeq$$"
]
ncols = 1
colors = [("gray", str(float(i)/ncols)) for i in range(0... |
#!/usr/bin/python
try:
from setuptools import setup, find_packages
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup, find_packages
setup(
name='BlueChips',
version='1.0.0',
description='BlueChips - finances for people with shared expense... |
#!python
"""Bootstrap setuptools installation
If you want to use setuptools in your package's setup.py, just include this
file in the same directory with it, and add this to the top of your setup.py::
from ez_setup import use_setuptools
use_setuptools()
If you want to require a specific version of setuptools... |
"""Setup the BlueChips application"""
import logging
from bluechips.config.environment import load_environment
log = logging.getLogger(__name__)
def setup_app(command, conf, vars):
"""Place any commands to setup bluechips here"""
load_environment(conf.global_conf, conf.local_conf)
# Load the models
... |
"""Routes configuration
The more specific and detailed routes should be defined first so they
may take precedent over the more generic routes. For more information
refer to the routes manual at http://routes.groovie.org/docs/
"""
from pylons import config
from routes import Mapper
def make_map():
"""Create, confi... |
"""Pylons environment configuration"""
import os
from mako.lookup import TemplateLookup
from pylons import config
from sqlalchemy import engine_from_config
from mailer import Mailer
import bluechips.lib.app_globals as app_globals
import bluechips.lib.helpers
from bluechips.config.routing import make_map
from bluechip... |
"""Pylons middleware initialization"""
from beaker.middleware import CacheMiddleware, SessionMiddleware
from paste.cascade import Cascade
from paste.registry import RegistryManager
from paste.urlparser import StaticURLParser
from paste.auth.basic import AuthBasicHandler
from paste.deploy.converters import asbool
from p... |
"""Pylons application test package
This package assumes the Pylons environment is already loaded, such as
when this script is imported from the `nosetests --with-pylons=test.ini`
command.
This module initializes the application via ``websetup`` (`paster
setup-app`) and provides the base testing objects.
"""
from unit... |
from unittest import TestCase
from bluechips import model
from bluechips.model.types import Currency
class TestSplit(TestCase):
def setUp(self):
self.u = model.User('chaz', u'Charles Root', False)
self.e = model.Expenditure(self.u, Currency('12.34'),
u'A test expe... |
from unittest import TestCase
from bluechips import model
class TestUser(TestCase):
def setUp(self):
self.u = model.User('chaz', u'Charles Root', False)
def test_constructor(self):
assert self.u.username == 'chaz'
assert self.u.name == u'Charles Root'
assert self.u.resident == ... |
from unittest import TestCase
from bluechips.model import types
class TestCurrency(TestCase):
def setUp(self):
self.c = types.Currency('12.34')
def test_currency_float(self):
assert float(self.c) == 1234.
def test_currency_int(self):
val = int(self.c)
assert val == 1234
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.