repo_name stringlengths 7 65 | path stringlengths 5 185 | copies stringlengths 1 4 | size stringlengths 4 6 | content stringlengths 977 990k | license stringclasses 14
values | hash stringlengths 32 32 | line_mean float64 7.18 99.4 | line_max int64 31 999 | alpha_frac float64 0.25 0.95 | ratio float64 1.5 7.84 | autogenerated bool 1
class | config_or_test bool 2
classes | has_no_keywords bool 2
classes | has_few_assignments bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
conan-io/conan | conans/client/cmd/create.py | 1 | 4951 | import os
from conans.client.cmd.test import install_build_and_test
from conans.client.manager import deps_install
from conans.errors import ConanException
from conans.model.ref import ConanFileReference
def _get_test_conanfile_path(tf, conanfile_path):
"""Searches in the declared test_folder or in the standard ... | mit | 0ce8e1962ae6d2247bbbb4a9dee3881d | 49.010101 | 100 | 0.534034 | 4.648826 | false | true | false | false |
aliyun/aliyun-oss-python-sdk | oss2/models.py | 1 | 91498 | # -*- coding: utf-8 -*-
"""
oss2.models
~~~~~~~~~~
该模块包含Python SDK API接口所需要的输入参数以及返回值类型。
"""
from . import utils
from .utils import http_to_unixtime, make_progress_adapter, make_crc_adapter, b64encode_as_string, b64decode_from_string
from .exceptions import ClientError, InconsistentError
from .compat import urlunquot... | mit | ba379b65c6252a16ef033b8ff8d02aff | 31.53754 | 168 | 0.641898 | 2.942787 | false | false | false | false |
aleju/imgaug | checks/check_visually.py | 2 | 8145 | """
Tests to visually inspect the results of the library's functionality.
Run checks via
python check_visually.py
"""
from __future__ import print_function, division
import argparse
import numpy as np
from skimage import data
import imgaug as ia
from imgaug import augmenters as iaa
def main():
parser = arg... | mit | 9bf9f587d52240a4cb5f3c12b59d168c | 38.926471 | 126 | 0.552855 | 3.025632 | false | false | false | false |
aliyun/aliyun-oss-python-sdk | oss2/iterators.py | 1 | 12793 | # -*- coding: utf-8 -*-
"""
oss2.iterators
~~~~~~~~~~~~~~
该模块包含了一些易于使用的迭代器，可以用来遍历Bucket、文件、分片上传等。
"""
from .models import MultipartUploadInfo, SimplifiedObjectInfo
from .exceptions import ServerError
from . import defaults, http
class _BaseIterator(object):
def __init__(self, marker, max_retries):
sel... | mit | 3d4da6832647dcc2621a1ff9ab0a1c47 | 36.569079 | 185 | 0.590316 | 3.182223 | false | false | false | false |
aliyun/aliyun-oss-python-sdk | oss2/resumable.py | 1 | 37191 | # -*- coding: utf-8 -*-
"""
oss2.resumable
~~~~~~~~~~~~~~
该模块包含了断点续传相关的函数和类。
"""
import os
from . import utils
from .utils import b64encode_as_string, b64decode_from_string
from . import iterators
from . import exceptions
from . import defaults
from . import http
from . import models
from .crypto_bucket import Cryp... | mit | 3271c3de96693d6b527390630fc0bd40 | 37.082965 | 131 | 0.582798 | 3.338538 | false | false | false | false |
aleju/imgaug | imgaug/augmenters/geometric.py | 2 | 255295 | """Augmenters that apply affine or similar transformations.
List of augmenters:
* :class:`Affine`
* :class:`ScaleX`
* :class:`ScaleY`
* :class:`TranslateX`
* :class:`TranslateY`
* :class:`Rotate`
* :class:`ShearX`
* :class:`ShearY`
* :class:`AffineCv2`
* :class:`PiecewiseAffine... | mit | c5365d51972857806abd9aba6bc1f6ea | 40.196547 | 223 | 0.567285 | 3.890269 | false | false | false | false |
aleju/imgaug | checks/check_affinecv2.py | 2 | 3686 | from __future__ import print_function, division
import imgaug as ia
from imgaug import augmenters as iaa
import imageio
import numpy as np
from skimage import data
import cv2
NB_ROWS = 10
NB_COLS = 10
HEIGHT = 200
WIDTH = 256
BB_X1 = 64
BB_X2 = WIDTH - 64
BB_Y1 = 64
BB_Y2 = HEIGHT - 64
def main():
image = data.as... | mit | 1ed7d5ba9740cac996c934abecb0ee26 | 39.065217 | 122 | 0.620998 | 2.519481 | false | false | false | false |
aliyun/aliyun-oss-python-sdk | examples/object_post.py | 1 | 7112 | # -*- coding: utf-8 -*-
import time
import datetime
import json
import base64
import hmac
import hashlib
import os
import crcmod
import requests
# 以下代码展示了PostObject的用法。PostObject不依赖于OSS Python SDK。
# POST表单域的详细说明请参RFC2388 https://tools.ietf.org/html/rfc2388
# PostObject的官网 https://help.aliyun.com/document_detail/31... | mit | 08b305dcbff09ffbab7ece8ae2a99a38 | 30.695431 | 135 | 0.6664 | 2.593023 | false | false | false | false |
aleju/imgaug | checks/check_segmentation_maps.py | 2 | 5521 | from __future__ import print_function
import numpy as np
import imgaug as ia
from imgaug import augmenters as iaa
def main():
quokka = ia.data.quokka(size=0.5)
h, w = quokka.shape[0:2]
c = 1
segmap = np.zeros((h, w, c), dtype=np.int32)
segmap[70:120, 90:150, 0] = 1
segmap[30:70, 50:65, 0] = ... | mit | 05a87b5a97b6818462e26e4644af1eb3 | 29.502762 | 82 | 0.620178 | 2.8154 | false | false | false | false |
aliyun/aliyun-oss-python-sdk | examples/bucket_tagging.py | 1 | 1809 |
import os
import oss2
from oss2.models import Tagging, TaggingRule
# Specify access information, such as AccessKeyId, AccessKeySecret, and Endpoint.
# You can obtain access information from evironment variables or replace sample values in the code, such as <your AccessKeyId> with actual values.
#
# For example, if yo... | mit | 4dcfb1be9a4c9ed751c8d4a1f8065866 | 35.16 | 146 | 0.746541 | 3.297445 | false | true | false | false |
aleju/imgaug | imgaug/data.py | 2 | 17570 | """Functions to generate example data, e.g. example images or segmaps.
Added in 0.5.0.
"""
from __future__ import print_function, division, absolute_import
import os
import json
import imageio
import numpy as np
# filepath to the quokka image, its annotations and depth map
# Added in 0.5.0.
_FILE_DIR = os.path.dir... | mit | 1e9d2e656daf350271c1e3ebc0105650 | 35.452282 | 136 | 0.614741 | 3.453223 | false | false | false | false |
aleju/imgaug | imgaug/augmenters/segmentation.py | 2 | 77929 | """
Augmenters that apply changes to images based on segmentation methods.
List of augmenters:
* :class:`Superpixels`
* :class:`Voronoi`
* :class:`UniformVoronoi`
* :class:`RegularGridVoronoi`
* :class:`RelativeRegularGridVoronoi`
"""
from __future__ import print_function, division, absolute_impo... | mit | fd6123614ad8cf74f311c918e2863f34 | 42.173961 | 173 | 0.617947 | 4.020897 | false | false | false | false |
aleju/imgaug | imgaug/augmenters/blend.py | 2 | 170224 | """
Augmenters that blend two images with each other.
List of augmenters:
* :class:`BlendAlpha`
* :class:`BlendAlphaMask`
* :class:`BlendAlphaElementwise`
* :class:`BlendAlphaSimplexNoise`
* :class:`BlendAlphaFrequencyNoise`
* :class:`BlendAlphaSomeColors`
* :class:`BlendAlphaHorizontalLin... | mit | aca59c448570cb2ca8f61bc07964236a | 41.051383 | 177 | 0.613685 | 4.055366 | false | false | false | false |
aleju/imgaug | checks/check_multiply_hue_and_saturation.py | 2 | 1078 | from __future__ import print_function, division
import numpy as np
import imgaug as ia
from imgaug import augmenters as iaa
def main():
image = ia.quokka_square((128, 128))
images_aug = []
for mul in np.linspace(0.0, 2.0, 10):
aug = iaa.MultiplyHueAndSaturation(mul)
image_aug = aug.augm... | mit | 0bdc6d5d9e271733a040f8be2f087319 | 28.135135 | 76 | 0.650278 | 2.913514 | false | false | false | false |
aliyun/aliyun-oss-python-sdk | tests/test_select_csv_object.py | 1 | 23204 | # -*- coding: utf-8 -*-
import requests
import filecmp
import calendar
import csv
import re
import sys
from oss2.exceptions import (ClientError, RequestError, NoSuchBucket,
NotFound, NoSuchKey, Conflict, PositionNotEqualToLength, ObjectNotAppendable, SelectOperationFailed, SelectOperationC... | mit | cbde21e96c78b34b5f320769c61e9afb | 43.030361 | 334 | 0.555809 | 3.892635 | false | true | false | false |
simpeg/simpeg | tutorials/02-linear_inversion/plot_inv_1_inversion_lsq.py | 1 | 6268 | """
Linear Least-Squares Inversion
==============================
Here we demonstrate the basics of inverting data with SimPEG by considering a
linear inverse problem. We formulate the inverse problem as a least-squares
optimization problem. For this tutorial, we focus on the following:
- Defining the forward pro... | mit | 784894a46b5cdbf5839536a4d92effc6 | 28.706161 | 91 | 0.638003 | 3.652681 | false | false | false | false |
simpeg/simpeg | SimPEG/electromagnetics/frequency_domain/survey.py | 1 | 2730 | from scipy.constants import mu_0
from ...survey import BaseSurvey
from .sources import BaseFDEMSrc
from ...utils import validate_list_of_types
class Survey(BaseSurvey):
"""Frequency domain electromagnetic survey
Parameters
----------
source_list : list of SimPEG.electromagnetic.frequency_domain.sourc... | mit | 52c49fcb2c76baf698b8e6549e2a2a94 | 26.029703 | 85 | 0.568132 | 4.519868 | false | false | false | false |
santoshphilip/eppy | tests/sample_html.py | 3 | 3292 | """sample html for pytesting"""
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# =======================================================================
from __future__ im... | mit | f91e979e3195434b1da9ca304c3711b3 | 28.927273 | 118 | 0.60723 | 2.665587 | false | false | false | false |
simpeg/simpeg | SimPEG/seismic/straight_ray_tomography/survey.py | 1 | 1622 | import numpy as np
from ...survey import BaseSurvey
class StraightRaySurvey(BaseSurvey):
"""Straight ray tomography survey"""
@property
def nD(self):
"""Number of data
Returns
-------
int
Number of data
"""
n = 0
for tx in self.source_l... | mit | 47d88212e59e42a7ba159a78733672aa | 23.575758 | 87 | 0.447596 | 4.302387 | false | false | false | false |
simpeg/simpeg | SimPEG/dask/simulation.py | 1 | 1641 | from ..simulation import BaseSimulation as Sim
from ..utils import validate_string, validate_integer
@property
def chunk_format(self):
"Apply memory chunks along rows of G, either 'equal', 'row', or 'auto'"
return self._chunk_format
@chunk_format.setter
def chunk_format(self, other):
self._chunk_format ... | mit | 667ddd9e3d4a616dd2c3e4ace983df32 | 19.012195 | 79 | 0.634979 | 3.230315 | false | false | false | false |
simpeg/simpeg | tutorials/07-fdem/plot_fwd_2_fem_cyl.py | 1 | 7972 | """
3D Forward Simulation on a Cylindrical Mesh
===========================================
Here we use the module *SimPEG.electromagnetics.frequency_domain* to simulate the
FDEM response for a borehole survey using a cylindrical mesh and radially symmetric
conductivity model. For this tutorial, we focus on the follow... | mit | fdf974434204c52ebf92c1b1c8364236 | 33.214592 | 96 | 0.664325 | 3.309257 | false | false | false | false |
simpeg/simpeg | tutorials/06-ip/plot_inv_3_dcip3d.py | 1 | 23601 | # -*- coding: utf-8 -*-
"""
3D Least-Squares Inversion of DC and IP Data
============================================
Here we invert 5 lines of DC and IP data to recover both an electrical
conductivity and a chargeability model. We formulate the corresponding
inverse problems as least-squares optimization problems.
Fo... | mit | 6efcb29477a094ca2705cb24f8d00b0e | 29.026718 | 91 | 0.641837 | 3.326427 | false | false | false | false |
santoshphilip/eppy | tests/test_walk_hvac.py | 1 | 15400 | """py.test for walk_hvac.py"""
# Copyright (c) 2016 Santosh Philip
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# ======================================================... | mit | 90236965b7f0d11f3560db181eab2e2c | 50.162791 | 86 | 0.596234 | 2.98855 | false | false | false | false |
santoshphilip/eppy | tests/test_bunch_subclass.py | 1 | 43953 | # Copyright (c) 2012, 2020 Santosh Philip
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# =======================================================================
"""py.t... | mit | 6c84de70206c8578e9e8fbc959b0a4b3 | 38.597297 | 157 | 0.484768 | 3.582736 | false | true | false | false |
simpeg/simpeg | examples/04-dcip/plot_inv_dcip_dipoledipole_parametric_inversion.py | 1 | 6893 | """
Parametric DC inversion with Dipole Dipole array
================================================
This is an example for a parametric inversion with a DC survey.
Resistivity structure of the subsurface is parameterized as following
parameters:
- sigma_background: background conductivity
- sigma_block: blo... | mit | 25c341588c9a7f0c57a36dc29df55834 | 28.969565 | 84 | 0.608588 | 3.131758 | false | false | false | false |
simpeg/simpeg | SimPEG/utils/__init__.py | 1 | 6093 | """
========================================================
Utility Classes and Functions (:mod:`SimPEG.utils`)
========================================================
.. currentmodule:: SimPEG.utils
The ``utils`` package contains utilities for helping with common operations involving
SimPEG.
Many of the utilities ... | mit | 6c3a5bb187efd76aa773fb741ccac6bc | 18.977049 | 88 | 0.688003 | 3.579906 | false | false | false | false |
simpeg/simpeg | tutorials/08-tdem/plot_fwd_1_em1dtm_waveforms.py | 1 | 7865 | """
1D Forward Simulation with User-Defined Waveforms
=================================================
For time-domain electromagnetic problems, the response depends strongly on the
souce waveforms. In this tutorial, we construct a set of waveforms of different
types and simulate the response for a halfspace. Many ty... | mit | 5c42e2e12c8e65955c762092b49c6f82 | 29.019084 | 93 | 0.638271 | 3.163717 | false | false | false | false |
santoshphilip/eppy | eppy/EPlusInterfaceFunctions/parse_idd.py | 1 | 12869 | #!/usr/bin/env python
## EPlusInterface (EPI) - An interface for EnergyPlus
## Copyright (C) 2004 Santosh Philip
# =======================================================================
# Distributed under the MIT License.
# (See accompanying file LICENSE or copy at
# http://opensource.org/licenses/MIT)
# ========... | mit | 5fffb4663905122ec8ce55f244f7f8e2 | 31.012438 | 97 | 0.550936 | 3.590681 | false | false | false | false |
simpeg/simpeg | examples/05-fdem/plot_inv_fdem_loop_loop_2Dinversion.py | 1 | 11463 | """
2D inversion of Loop-Loop EM Data
=================================
In this example, we consider a single line of loop-loop EM data
at 30kHz with 3 different coil separations [0.32m, 0.71m, 1.18m].
We will use only Horizontal co-planar orientations (vertical magnetic dipole),
and look at the real and imaginary par... | mit | 7d3bac37231c54c04341d9606a4854a2 | 29.649733 | 202 | 0.591555 | 3.29586 | false | false | false | false |
santoshphilip/eppy | tests/conftest.py | 1 | 1528 | import os
import pytest
from io import StringIO
from importlib import reload
from eppy.modeleditor import IDF
from eppy.iddcurrent import iddcurrent
from eppy import modeleditor
from .test_runner import versiontuple
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
RESOURCES_DIR = os.path.join(THIS_DIR, os.pard... | mit | 625d01ba6f282e576d38492f572e78b6 | 28.384615 | 78 | 0.693063 | 2.850746 | false | true | false | false |
simpeg/simpeg | SimPEG/flow/richards/__init__.py | 1 | 1088 | """
=======================================================================
Richards Flow (:mod:`SimPEG.flow.richards`)
=======================================================================
.. currentmodule:: SimPEG.flow.richards
About ``Richards flow``
Simulations
===========
.. autosummary::
:toctree: generated... | mit | a87fa4701af452b3f9c70dbd17790e20 | 21.666667 | 71 | 0.64614 | 3.638796 | false | false | true | false |
simpeg/simpeg | SimPEG/electromagnetics/static/spectral_induced_polarization/run.py | 1 | 4837 | import numpy as np
from SimPEG import (
maps,
optimization,
inversion,
inverse_problem,
directives,
data_misfit,
regularization,
)
def spectral_ip_mappings(
mesh,
indActive=None,
inactive_eta=1e-4,
inactive_tau=1e-4,
inactive_c=1e-4,
is_log_eta=True,
is_log_tau=... | mit | edc3e29598e53af4719ddd89ef5c75f2 | 24.324607 | 88 | 0.615878 | 2.905105 | false | false | false | false |
santoshphilip/eppy | eppy/snippet.py | 1 | 5331 | # Copyright (c) 2012 Santosh Philip
"""just a snippet that is used in tests"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
idfsnippet = """
Building,
Building, !- Name
30., ... | mit | 2585d3de573fd6828922ecb2c5b981d1 | 36.542254 | 78 | 0.397486 | 3.611789 | false | false | true | false |
simpeg/simpeg | SimPEG/regularization/pgi.py | 1 | 31445 | from __future__ import annotations
import copy
import warnings
import numpy as np
import scipy.sparse as sp
from ..maps import IdentityMap, Wires
from ..objective_function import ComboObjectiveFunction
from ..utils import (
Identity,
deprecate_property,
mkvc,
sdiag,
timeIt,
validate_float,
... | mit | cf5460932ca29793b3c5b1267b3f6af1 | 35.777778 | 120 | 0.430784 | 4.278231 | false | false | false | false |
simpeg/simpeg | tutorials/03-gravity/plot_inv_1a_gravity_anomaly.py | 1 | 13756 | """
Least-Squares Inversion of Gravity Anomaly Data
===============================================
Here we invert gravity anomaly data to recover a density contrast model. We
formulate the inverse problem as a least-squares optimization problem. For
this tutorial, we focus on the following:
- Defining the survey... | mit | 918819417f06315a0b769778d9d65ed0 | 30.916473 | 91 | 0.650262 | 3.366618 | false | false | false | false |
simpeg/simpeg | examples/_archived/plot_inv_mag_linear.py | 1 | 9286 | """
PF: Magnetic: Inversion Linear
===============================
Create a synthetic block model and invert
with a compact norm
"""
import matplotlib.pyplot as plt
import numpy as np
from discretize import TensorMesh
from SimPEG.potential_fields import magnetics
from SimPEG import utils
from SimPEG import (
data... | mit | 444ef0c6469e6bb330d0e019b7686e7f | 28.762821 | 84 | 0.548029 | 3.260534 | false | false | false | false |
willmcgugan/rich | rich/constrain.py | 10 | 1288 | from typing import Optional, TYPE_CHECKING
from .jupyter import JupyterMixin
from .measure import Measurement
if TYPE_CHECKING:
from .console import Console, ConsoleOptions, RenderableType, RenderResult
class Constrain(JupyterMixin):
"""Constrain the width of a renderable to a given number of characters.
... | mit | fd231a88af75e95206acb21c2b6dca45 | 33.810811 | 91 | 0.663043 | 3.938838 | false | false | false | false |
willmcgugan/rich | tests/test_panel.py | 1 | 3666 | import io
from rich.console import Console
from rich.measure import Measurement
from rich.panel import Panel
import pytest
tests = [
Panel("Hello, World", padding=0),
Panel("Hello, World", expand=False, padding=0),
Panel.fit("Hello, World", padding=0),
Panel("Hello, World", width=8, padding=0),
Pa... | mit | e421d086efe7414f164057511207ddd5 | 38.15625 | 267 | 0.455706 | 2.691729 | false | true | false | false |
willmcgugan/rich | rich/prompt.py | 1 | 11295 | from typing import Any, Generic, List, Optional, TextIO, TypeVar, Union, overload
from . import get_console
from .console import Console
from .text import Text, TextType
PromptType = TypeVar("PromptType")
DefaultType = TypeVar("DefaultType")
class PromptError(Exception):
"""Exception base class for prompt relat... | mit | 8d21394191891997156c50bd4f82cce9 | 29.039894 | 110 | 0.574945 | 4.332566 | false | false | false | false |
willmcgugan/rich | rich/progress_bar.py | 6 | 7762 | import math
from functools import lru_cache
from time import monotonic
from typing import Iterable, List, Optional
from .color import Color, blend_rgb
from .color_triplet import ColorTriplet
from .console import Console, ConsoleOptions, RenderResult
from .jupyter import JupyterMixin
from .measure import Measurement
fr... | mit | e3ae1947d130c7b7a165f214e10626b2 | 34.898148 | 117 | 0.59479 | 4.036439 | false | false | false | false |
willmcgugan/rich | rich/align.py | 1 | 10377 | import sys
from itertools import chain
from typing import TYPE_CHECKING, Iterable, Optional
if sys.version_info >= (3, 8):
from typing import Literal
else:
from typing_extensions import Literal # pragma: no cover
from .constrain import Constrain
from .jupyter import JupyterMixin
from .measure import Measurem... | mit | 3f0dd2c91641fa93b794a83144b395c0 | 32.259615 | 139 | 0.548714 | 4.302239 | false | false | false | false |
willmcgugan/rich | examples/downloader.py | 1 | 2274 | """
A rudimentary URL downloader (like wget or curl) to demonstrate Rich progress bars.
"""
import os.path
import sys
from concurrent.futures import as_completed, ThreadPoolExecutor
import signal
from functools import partial
from threading import Event
from typing import Iterable
from urllib.request import urlopen
f... | mit | 3711e138f9d91707dfba100e063cdb0b | 27.35 | 87 | 0.645062 | 3.611465 | false | false | false | false |
chainer/chainercv | examples/ssd/train_multi.py | 3 | 5849 | import argparse
import multiprocessing
import numpy as np
import chainer
from chainer.optimizer_hooks import WeightDecay
from chainer import serializers
from chainer import training
from chainer.training import extensions
from chainer.training import triggers
import chainermn
from chainercv.chainer_experimental.data... | mit | fc5f1fe6c215a7bfaad5f367ba5b34bc | 33.815476 | 109 | 0.65071 | 3.699557 | false | false | false | false |
chainer/chainercv | chainercv/links/model/ssd/normalize.py | 3 | 1597 | import numpy as np
import chainer
import chainer.functions as F
from chainer import initializers
from chainer import variable
class Normalize(chainer.Link):
"""Learnable L2 normalization [#]_.
This link normalizes input along the channel axis and scales it.
The scale factors are trained channel-wise.
... | mit | 6c6fd44da83c9e0154b5b244b5bd5c67 | 30.94 | 78 | 0.615529 | 4.032828 | false | false | false | false |
chainer/chainercv | chainercv/links/model/yolo/yolo_v2.py | 3 | 8111 | from __future__ import division
import itertools
import numpy as np
import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer.links import Convolution2D
from chainercv.links import Conv2DBNActiv
from chainercv import utils
from chainercv.links.model.yolo.yolo_base import YOLOBase
... | mit | ea9c7ea524cddf77ae9391c88806605d | 31.314741 | 87 | 0.538775 | 3.397989 | false | false | false | false |
chainer/chainercv | chainercv/utils/testing/generate_random_bbox.py | 3 | 1261 | import numpy as np
def generate_random_bbox(n, img_size, min_length, max_length):
"""Generate valid bounding boxes with random position and shape.
Args:
n (int): The number of bounding boxes.
img_size (tuple): A tuple of length 2. The height and the width
of the image on which bou... | mit | 3c4509b7ed77c35db636196d8828ed23 | 39.677419 | 76 | 0.598731 | 3.292428 | false | false | false | false |
lorien/grab | tests/spider_queue.py | 1 | 6464 | from unittest import TestCase
import time
from typing import Any
import six
from test_server import Response
from grab.spider.queue_backend.base import QueueInterface
from grab.spider import Spider, Task
from grab.spider.error import SpiderMisuseError
from tests.util import BaseGrabTestCase, build_spider
from test_s... | mit | 3d51b82f1b1319680743ffa2b4a8ded9 | 33.566845 | 82 | 0.610458 | 3.775701 | false | true | false | false |
chainer/chainercv | chainercv/datasets/coco/coco_semantic_segmentation_dataset.py | 3 | 3175 | import json
import numpy as np
import os
from chainercv.chainer_experimental.datasets.sliceable import GetterDataset
from chainercv.datasets.coco.coco_utils import get_coco
from chainercv import utils
def _rgb2id(color):
return color[0] + 256 * color[1] + 256 * 256 * color[2]
class COCOSemanticSegmentationData... | mit | 3b7e2e8451b34e82aae46f5c4f098dc2 | 33.139785 | 76 | 0.590551 | 3.413978 | false | false | false | false |
chainer/chainercv | chainercv/links/model/senet/se_resnet.py | 3 | 7004 | from __future__ import division
import numpy as np
import chainer
import chainer.functions as F
from chainer import initializers
import chainer.links as L
from chainercv.links import Conv2DBNActiv
from chainercv.links.model.resnet import ResBlock
from chainercv.links import PickableSequentialChain
from chainercv imp... | mit | 43fa874a51ffc39f74ceb7acc932d604 | 34.734694 | 76 | 0.590234 | 3.745455 | false | false | false | false |
lorien/grab | tests/spider_task.py | 1 | 15560 | from weblib.error import ResponseNotValid
from test_server import Response
from grab import Grab
from grab.spider import base
from grab.spider import Spider, Task, SpiderMisuseError, NoTaskHandler
from grab.spider.error import SpiderError
from tests.util import BaseGrabTestCase, build_grab, build_spider
class Simpl... | mit | a87bb75b47c74fd20a771bce6a4247ca | 33.732143 | 87 | 0.578535 | 3.713604 | false | true | false | false |
chainer/chainercv | chainercv/links/model/light_head_rcnn/global_context_module.py | 2 | 1136 | from __future__ import division
import chainer
import chainer.functions as F
import chainer.links as L
class GlobalContextModule(chainer.Chain):
def __init__(
self, in_channels, mid_channels, out_channels,
ksize, initialW=None
):
super(GlobalContextModule, self).__init__()
... | mit | 6739a3d0a8d0e6e315e9c0e012e59df1 | 33.424242 | 72 | 0.543134 | 3.561129 | false | false | false | false |
chainer/chainercv | tests/links_tests/model_tests/yolo_tests/test_yolo_v2.py | 3 | 1959 | import numpy as np
import unittest
import chainer
from chainer import testing
from chainer.testing import attr
from chainercv.links import YOLOv2
@testing.parameterize(*testing.product({
'n_fg_class': [1, 5, 20],
}))
class TestYOLOv2(unittest.TestCase):
def setUp(self):
self.link = YOLOv2(n_fg_clas... | mit | a7216279a908f77c8943f6024298ce82 | 25.472973 | 76 | 0.611536 | 3.29798 | false | true | false | false |
chainer/chainercv | chainercv/datasets/sbd/sbd_utils.py | 3 | 2071 | import filelock
import os
import six
from chainer.dataset import download
from chainercv.datasets.voc.voc_utils \
import voc_instance_segmentation_label_names
from chainercv import utils
root = 'pfnet/chainercv/sbd'
url = 'http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchm... | mit | 417b77956191f58e8284957a94d22078 | 36.654545 | 113 | 0.66055 | 2.971306 | false | false | false | false |
chainer/chainercv | tests/functions_tests/test_ps_roi_max_pooling.py | 3 | 6321 | import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer import gradient_check
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
import numpy as np
import unittest
from chainercv import functions
def _outsize(x):
if isinstance(x,... | mit | f1cb208736ef78a1e5b268ba4b2a2be8 | 34.116667 | 77 | 0.570321 | 3.083415 | false | true | false | false |
chainer/chainercv | examples/deeplab/tf2npz.py | 3 | 8351 | import argparse
import chainer
from chainercv.datasets import ade20k_semantic_segmentation_label_names
from chainercv.datasets import cityscapes_semantic_segmentation_label_names
from chainercv.datasets import voc_semantic_segmentation_label_names
from chainercv.links import DeepLabV3plusXception65
import tensorflow... | mit | 9301f5f379c09fe7f4681b9b7a179a4f | 35.308696 | 77 | 0.558137 | 3.608902 | false | false | false | false |
chainer/chainercv | chainercv/transforms/image/random_sized_crop.py | 3 | 5002 | from __future__ import division
import math
import numpy as np
import random
def random_sized_crop(img,
scale_ratio_range=(0.08, 1),
aspect_ratio_range=(3 / 4, 4 / 3),
return_param=False, copy=False):
"""Crop an image to random size and aspect rat... | mit | 352f7b69de61a34831b716c264dfd51b | 38.698413 | 79 | 0.577169 | 3.537482 | false | false | false | false |
chainer/chainercv | examples/faster_rcnn/train.py | 3 | 5174 | from __future__ import division
import argparse
import numpy as np
import chainer
from chainer.datasets import ConcatenatedDataset
from chainer.datasets import TransformDataset
from chainer import training
from chainer.training import extensions
from chainer.training.triggers import ManualScheduleTrigger
from chaine... | mit | 38e6297aa002ff445f71d3c0f1662bb4 | 34.930556 | 109 | 0.642636 | 3.563361 | false | false | false | false |
chainer/chainercv | chainercv/links/model/pixelwise_softmax_classifier.py | 3 | 2173 | import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer import reporter
import numpy as np
class PixelwiseSoftmaxClassifier(chainer.Chain):
"""A pixel-wise classifier.
It computes the loss based on a given input/label pair for
semantic segmentation.
Args:
... | mit | 4e951ab15da7d03889c178883f8033bf | 32.430769 | 75 | 0.630925 | 4.131179 | false | false | false | false |
chainer/chainercv | tests/evaluations_tests/test_eval_instance_segmentation_voc.py | 3 | 6121 | from __future__ import division
import numpy as np
import os
from six.moves.urllib import request
import unittest
from chainer import testing
from chainercv.evaluations import calc_instance_segmentation_voc_prec_rec
from chainercv.evaluations import eval_instance_segmentation_voc
@testing.parameterize(*(
testi... | mit | 460971b12fe25841d7c2187b1bd41d9e | 28.147619 | 74 | 0.419539 | 3.869153 | false | true | false | false |
chainer/chainercv | tests/datasets_tests/test_siamese_dataset.py | 3 | 4023 | import unittest
import numpy as np
from chainer import testing
from chainer.datasets import TupleDataset
from chainercv.datasets import SiameseDataset
from chainercv.utils.testing.assertions.assert_is_image import assert_is_image
N = 15
@testing.parameterize(
# Positive and negative samples
{'labels_0': ... | mit | 1aa7c56676f9ec6efa9c620cd5349453 | 34.60177 | 78 | 0.578921 | 3.547619 | false | true | false | false |
chainer/chainercv | chainercv/links/model/fpn/rpn.py | 3 | 9962 | from __future__ import division
import numpy as np
import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer import initializers
import chainer.links as L
from chainercv.links.model.fpn.misc import argsort
from chainercv.links.model.fpn.misc import choice
from chainercv.links.model.... | mit | a98293de04cec0395104489df56cf451 | 33.832168 | 79 | 0.4999 | 3.350824 | false | false | false | false |
chainer/chainercv | chainercv/links/model/vgg/vgg16.py | 3 | 6078 | from __future__ import division
import numpy as np
import chainer
from chainer.functions import dropout
from chainer.functions import max_pooling_2d
from chainer.functions import relu
from chainer.functions import softmax
from chainer.initializers import constant
from chainer.initializers import normal
from chainer.... | mit | 0aed8515d8d4ac5ebdd8c537e4e81a21 | 39.251656 | 76 | 0.611056 | 3.641702 | false | false | false | false |
chainer/chainercv | chainercv/experimental/links/model/fcis/fcis_resnet101.py | 3 | 16131 | from __future__ import division
import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np
from chainercv.experimental.links.model.fcis import FCIS
from chainercv.functions import ps_roi_average_pooling_2d
from chainercv.links import Conv2DBNActiv
from chainercv.links.model.faster_rcnn.... | mit | d02274aa36074ba64d5af1236bf20aea | 39.126866 | 79 | 0.591966 | 3.580688 | false | false | false | false |
chainer/chainercv | examples/fcis/train_coco_multi.py | 3 | 7657 | from __future__ import division
import argparse
import multiprocessing
import numpy as np
import chainer
from chainer.training import extensions
from chainer.training.triggers import ManualScheduleTrigger
import chainermn
from chainercv.chainer_experimental.datasets.sliceable \
import ConcatenatedDataset
from ch... | mit | 327700ce2cae9420ce1a60b2b9072c09 | 34.123853 | 109 | 0.648557 | 3.751592 | false | false | false | false |
chainer/chainercv | chainercv/experimental/links/model/fcis/utils/proposal_target_creator.py | 3 | 7790 | import numpy as np
from chainer import cuda
from chainercv.links.model.faster_rcnn.utils.bbox2loc import bbox2loc
from chainercv.transforms.image.resize import resize
from chainercv.utils.bbox.bbox_iou import bbox_iou
class ProposalTargetCreator(object):
"""Assign ground truth classes, bounding boxes and masks ... | mit | 1c167298b03a1066aa335a471833fb4c | 40.216931 | 79 | 0.573813 | 3.47148 | false | false | false | false |
chainer/chainercv | chainercv/transforms/point/resize_point.py | 3 | 1246 | import numpy as np
def resize_point(point, in_size, out_size):
"""Adapt point coordinates to the rescaled image space.
Args:
point (~numpy.ndarray or list of arrays): See the table below.
in_size (tuple): A tuple of length 2. The height and the width
of the image before resized.
... | mit | 3b69fa46024b147d60abe1a9a9b7fbf1 | 31.789474 | 71 | 0.540128 | 3.441989 | false | false | false | false |
chainer/chainercv | chainercv/links/model/ssd/ssd.py | 3 | 8502 | from __future__ import division
import numpy as np
import chainer
from chainercv.links.model.ssd import MultiboxCoder
from chainercv import transforms
class SSD(chainer.Chain):
"""Base class of Single Shot Multibox Detector.
This is a base class of Single Shot Multibox Detector [#]_.
.. [#] Wei Liu, ... | mit | fb22d3daa16824ebb0b01eeba70a194d | 37.645455 | 79 | 0.579746 | 4.079655 | false | false | false | false |
chainer/chainercv | tests/links_tests/model_tests/ssd_tests/test_multibox_loss.py | 3 | 7059 | from __future__ import division
import numpy as np
import six
import unittest
import chainer
from chainer.backends import cuda
import chainer.functions as F
from chainer import testing
from chainermn import create_communicator
from chainercv.links.model.ssd import multibox_loss
from chainercv.utils.testing import at... | mit | 54949b339a6989d07a58713e0a43194e | 34.651515 | 79 | 0.567927 | 3.255996 | false | true | false | false |
chainer/chainercv | style_checker.py | 3 | 4011 | """Coding style checker for ChainerCV
This is a coding style checker used in ChainerCV.
Usage:
$ python style_checker.py [--exclude <file> [<file> ...]] <directory>
This script checks the following coding rules.
- Arguments of `ndarray.reshape`.
If the target shape is 1-d array, it should be passed as an in... | mit | 85581ad4dfd2e958e41e5dbd6b40ea9f | 24.226415 | 75 | 0.551483 | 3.445876 | false | false | false | false |
sixty-north/cosmic-ray | src/cosmic_ray/operators/boolean_replacer.py | 1 | 2657 | """Implementation of the boolean replacement operators.
"""
import parso.python.tree
from .keyword_replacer import KeywordReplacementOperator
from .operator import Example, Operator
class ReplaceTrueWithFalse(KeywordReplacementOperator):
"""An that replaces True with False."""
from_keyword = "True"
to_... | mit | 12a78ef29707a6ff6e61b7986c423ffb | 28.197802 | 102 | 0.619496 | 3.86754 | false | false | false | false |
spesmilo/electrum | electrum/plugins/safe_t/safe_t.py | 1 | 19450 | from binascii import hexlify, unhexlify
import traceback
import sys
from typing import NamedTuple, Any, Optional, Dict, Union, List, Tuple, TYPE_CHECKING
from electrum.util import bfh, bh2u, versiontuple, UserCancelled, UserFacingException
from electrum.bip32 import BIP32Node
from electrum import constants
from electr... | mit | 2a83dd7ebfaa408b3a65a8fdbd0f2e48 | 41.282609 | 122 | 0.593008 | 3.900923 | false | false | false | false |
spesmilo/electrum | electrum/gui/kivy/nfc_scanner/scanner_android.py | 1 | 8392 | '''This is the Android implementation of NFC Scanning using the
built in NFC adapter of some android phones.
'''
from kivy.app import App
from kivy.clock import Clock
#Detect which platform we are on
from kivy.utils import platform
if platform != 'android':
raise ImportError
import threading
from . import NFCBase... | mit | 0d42be0159e2f80040797f9bfdbe34b4 | 33.677686 | 101 | 0.613799 | 4.040443 | false | false | false | false |
spesmilo/electrum | electrum/gui/kivy/uix/gridview.py | 41 | 6337 | from kivy.uix.boxlayout import BoxLayout
from kivy.adapters.dictadapter import DictAdapter
from kivy.adapters.listadapter import ListAdapter
from kivy.properties import ObjectProperty, ListProperty, AliasProperty
from kivy.uix.listview import (ListItemButton, ListItemLabel, CompositeListItem,
... | mit | 388c8429d94db5cbfade1ee5e9981a20 | 29.912195 | 97 | 0.492978 | 4.412953 | false | false | false | false |
spesmilo/electrum | electrum/gui/qt/paytoedit.py | 1 | 12596 | #!/usr/bin/env python
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2012 thomasv@gitorious
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including witho... | mit | c7ad9cdb06bf305d2a1f21ee08527aea | 34.184358 | 96 | 0.601302 | 4.010188 | false | false | false | false |
spesmilo/electrum | electrum/gui/qml/qetypes.py | 1 | 3809 | from PyQt5.QtCore import pyqtProperty, pyqtSignal, pyqtSlot, QObject
from electrum.logging import get_logger
from electrum.i18n import _
# container for satoshi amounts that can be passed around more
# easily between python, QML-property and QML-javascript contexts
# QML 'int' is 32 bit signed, so overflows on satosh... | mit | 08b258c8035d0c0de02b042c2ef33bbd | 35.27619 | 134 | 0.62116 | 3.6625 | false | false | false | false |
spesmilo/electrum | electrum/gui/kivy/uix/dialogs/lightning_tx_dialog.py | 1 | 4064 | import copy
from datetime import datetime
from decimal import Decimal
from typing import NamedTuple, Callable, TYPE_CHECKING
from kivy.app import App
from kivy.factory import Factory
from kivy.properties import ObjectProperty
from kivy.lang import Builder
from kivy.clock import Clock
from kivy.uix.label import Label
f... | mit | 90daed892c1a402e413484e955fe9c38 | 31.253968 | 88 | 0.517224 | 4.369892 | false | false | false | false |
spesmilo/electrum | electrum/tests/test_blockchain.py | 1 | 29212 | import shutil
import tempfile
import os
from electrum import constants, blockchain
from electrum.simple_config import SimpleConfig
from electrum.blockchain import Blockchain, deserialize_header, hash_header
from electrum.util import bh2u, bfh, make_dir
from . import ElectrumTestCase
class TestBlockchain(ElectrumTes... | mit | 21ba496e2bcddd1afbbfdcc99dc0caa1 | 62.504348 | 219 | 0.700466 | 2.981729 | false | false | false | false |
spesmilo/electrum | electrum/gui/qt/installwizard.py | 1 | 32943 | # Copyright (C) 2018 The Electrum developers
# Distributed under the MIT software license, see the accompanying
# file LICENCE or http://www.opensource.org/licenses/mit-license.php
import os
import json
import sys
import threading
import traceback
from typing import Tuple, List, Callable, NamedTuple, Optional, TYPE_CH... | mit | c6e60827a307366f1a39d5fca5b10d52 | 40.333752 | 151 | 0.564429 | 4.062523 | false | false | false | false |
spesmilo/electrum | electrum/gui/qt/qrcodewidget.py | 1 | 5413 | from typing import Optional
import qrcode
from PyQt5.QtGui import QColor, QPen
import PyQt5.QtGui as QtGui
from PyQt5.QtCore import Qt, QRect
from PyQt5.QtWidgets import (
QApplication, QVBoxLayout, QTextEdit, QHBoxLayout, QPushButton, QWidget,
QFileDialog,
)
from electrum.i18n import _
from electrum.simple_... | mit | d342b1eac5fa6ec16837ed3873540c54 | 28.418478 | 104 | 0.535193 | 3.803935 | false | false | false | false |
kivy/pyjnius | jnius/env.py | 1 | 11443 | '''
This module determine and expose various information about the java
environment.
'''
import sys
from os.path import join, exists, dirname, realpath
from os import getenv
from platform import machine
from subprocess import Popen, check_output, PIPE
from shlex import split
from logging import getLogger
from textwrap... | mit | c09b3f8b0d7019b84631049766cf9950 | 29.272487 | 99 | 0.575548 | 3.799137 | false | false | false | false |
kivy/pyjnius | jnius_config.py | 1 | 2470 | __all__ = ('set_options', 'add_options', 'get_options',
'set_classpath', 'add_classpath', 'get_classpath',
'expand_classpath')
import platform
if platform.system() == 'Windows':
split_char = ';'
else:
split_char = ':'
vm_running = False
vm_started_at = None
options = []
classpath = None
... | mit | 9c1b57a91ba43d64226ff7e08e9cda54 | 24.729167 | 122 | 0.650607 | 3.977456 | false | false | false | false |
webcomics/dosage | dosagelib/plugins/petitesymphony.py | 1 | 1910 | # SPDX-License-Identifier: MIT
# Copyright (C) 2004-2008 Tristan Seligmann and Jonathan Jacobs
# Copyright (C) 2012-2014 Bastian Kleineidam
# Copyright (C) 2015-2020 Tobias Gruetzmacher
# Copyright (C) 2019-2020 Daniel Ring
from .common import WordPressScraper, WordPressNavi
class PetiteSymphony(WordPressNavi):
m... | mit | 0c06734fc0c8611a61168fe004b39095 | 33.727273 | 70 | 0.58377 | 3.570093 | false | false | false | false |
kivy/pyjnius | jnius/reflect.py | 1 | 17438 | from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
from collections import defaultdict
from logging import getLogger, DEBUG
from .jnius import (
JavaClass, MetaJavaClass, JavaMethod, JavaStaticMethod,
JavaField, JavaStaticField, JavaMultipleMethod, f... | mit | 3171b6f85af36a7340822b32c5093310 | 39.648019 | 124 | 0.621344 | 3.832527 | false | false | false | false |
webcomics/dosage | dosagelib/plugins/rhjunior.py | 1 | 1469 | # SPDX-License-Identifier: MIT
# Copyright (C) 2019-2022 Tobias Gruetzmacher
# Copyright (C) 2019-2020 Daniel Ring
from ..scraper import ParserScraper
class RHJunior(ParserScraper):
stripUrl = 'https://www.rhjunior.com/%s/'
imageSearch = '//div[contains(@class, "entry-content")]//img'
multipleImagesPerStr... | mit | 4cb12503caeb865f2e3f7a2a30b33fdc | 38.702703 | 83 | 0.559564 | 3.286353 | false | false | false | false |
webcomics/dosage | dosagelib/util.py | 1 | 14832 | # SPDX-License-Identifier: MIT
# Copyright (C) 2004-2008 Tristan Seligmann and Jonathan Jacobs
# Copyright (C) 2012-2014 Bastian Kleineidam
# Copyright (C) 2015-2020 Tobias Gruetzmacher
import html
import os
import re
import subprocess
import sys
import time
import traceback
from functools import lru_cache
from urllib... | mit | f0c4e37a30820379a21d13e5f47a6b4c | 29.581443 | 79 | 0.618325 | 3.665843 | false | false | false | false |
kivy/pyjnius | docs/source/conf.py | 2 | 7806 | # -*- coding: utf-8 -*-
#
# Pyjnius documentation build configuration file, created by
# sphinx-quickstart on Thu Aug 16 11:38:14 2012.
#
# 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
# autogenerated file.
#
# All... | mit | 690b5cadc1ce995aea33b5ce21e10258 | 31.256198 | 96 | 0.705483 | 3.760116 | false | true | false | false |
kivy/pyjnius | tests/test_dir.py | 1 | 2774 | from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import unittest
from jnius.reflect import autoclass
class DirTest(unittest.TestCase):
def test_varargs_signatures(self):
# >>> from jnius import autoclass
# >>> cls = autoclass('java.lang.S... | mit | 9c72e7687801251b6f4f4cbb494a053e | 38.070423 | 113 | 0.549387 | 3.718499 | false | true | false | false |
sendgrid/sendgrid-python | sendgrid/helpers/mail/exceptions.py | 2 | 1831 | ################################################################
# Various types of extensible Twilio SendGrid related exceptions
################################################################
class SendGridException(Exception):
"""Wrapper/default SendGrid-related exception"""
pass
class ApiKeyIncludedExc... | mit | 349bafddd44ab6a012c9fa1da8079b6e | 27.169231 | 88 | 0.568542 | 5.41716 | false | false | false | false |
sendgrid/sendgrid-python | sendgrid/helpers/mail/bypass_list_management.py | 2 | 1401 | class BypassListManagement(object):
"""Setting for Bypass List Management
Allows you to bypass all unsubscribe groups and suppressions to ensure that
the email is delivered to every single recipient. This should only be used
in emergencies when it is absolutely necessary that every recipient
receiv... | mit | e3d786f3460ff42256414bf63e497667 | 28.1875 | 79 | 0.624554 | 4.765306 | false | false | false | false |
sendgrid/sendgrid-python | examples/subusers/subusers.py | 1 | 5310 | import sendgrid
import os
sg = sendgrid.SendGridAPIClient(os.environ.get('SENDGRID_API_KEY'))
##################################################
# Create Subuser #
# POST /subusers #
data = {
"email": "John@example.com",
"ips": [
"1.1.1.1",
"2.2.2.2"
],
"password": "johns_password",
... | mit | c64c6d9f9feabb2f92de1079aa379608 | 27.095238 | 77 | 0.596045 | 3.425806 | false | true | false | false |
sendgrid/sendgrid-python | sendgrid/helpers/mail/bcc_settings.py | 2 | 1929 | class BccSettings(object):
"""Settings object for automatic BCC.
This allows you to have a blind carbon copy automatically sent to the
specified email address for every email that is sent.
"""
def __init__(self, enable=None, email=None):
"""Create a BCCSettings.
:param enable: Whe... | mit | 39e0a1f510cb07c959ef3d51ded409f3 | 25.791667 | 79 | 0.582685 | 4.424312 | false | false | false | false |
mrkipling/maraschino | lib/sqlalchemy/dialects/postgresql/pg8000.py | 22 | 3801 | # postgresql/pg8000.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Support for the PostgreSQL database via the pg8000 driver.
Connecting
-------... | mit | e4eeabd27c5e55eed41b474c555fda97 | 30.413223 | 98 | 0.646672 | 4.2 | false | false | false | false |
california-civic-data-coalition/django-calaccess-campaign-browser | calaccess_campaign_browser/management/commands/loadcalaccesscampaignsummaries.py | 3 | 4738 | import os
import csv
import MySQLdb
import warnings
from django.db import connection
from calaccess_raw import get_download_directory
from django.utils.datastructures import SortedDict
from calaccess_campaign_browser.models import Summary
from calaccess_campaign_browser.management.commands import CalAccessCommand
cla... | mit | 148e7bf44237d5e628018b69cd92b946 | 36.603175 | 75 | 0.527649 | 3.836437 | false | false | false | false |
mrkipling/maraschino | lib/werkzeug/debug/__init__.py | 81 | 7867 | # -*- coding: utf-8 -*-
"""
werkzeug.debug
~~~~~~~~~~~~~~
WSGI application traceback debugger.
:copyright: (c) 2011 by the Werkzeug Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
import mimetypes
from os.path import join, dirname, basename, isfile
from werkzeu... | mit | e21b3c82bb069fb8758bbd04782601b0 | 41.524324 | 78 | 0.581797 | 4.565873 | false | false | false | false |
mrkipling/maraschino | lib/sqlalchemy/orm/sync.py | 22 | 4874 | # orm/sync.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""private module containing functions used for copying data
between instances based on j... | mit | 8b6532c6ffebb13200f00a98f4d55b26 | 44.551402 | 97 | 0.57858 | 4.134012 | false | false | false | false |
california-civic-data-coalition/django-calaccess-campaign-browser | calaccess_campaign_browser/models/elections.py | 3 | 5064 | from django.db import models
from calaccess_campaign_browser.utils.models import BaseModel
class Election(BaseModel):
"""
A grouping of election contests administered by the state.
"""
ELECTION_TYPE_CHOICES = (
("GENERAL", "General"),
("PRIMARY", "Primary"),
("RECALL", "Recall"... | mit | 166599063c43789acddc1e675ae75373 | 27.290503 | 76 | 0.597749 | 3.848024 | false | false | false | false |
mrkipling/maraschino | lib/werkzeug/contrib/sessions.py | 77 | 12307 | # -*- coding: utf-8 -*-
r"""
werkzeug.contrib.sessions
~~~~~~~~~~~~~~~~~~~~~~~~~
This module contains some helper classes that help one to add session
support to a python WSGI application. For full client-side session
storage see :mod:`~werkzeug.contrib.securecookie` which implements a
secure,... | mit | dcf93d74742d912e909bac35ca2cd85f | 34.776163 | 78 | 0.603153 | 4.434955 | false | false | false | false |
california-civic-data-coalition/django-calaccess-campaign-browser | calaccess_campaign_browser/urls.py | 3 | 2844 | from django.conf.urls import patterns, include, url
from tastypie.api import Api
from django.views.generic.base import RedirectView
from calaccess_campaign_browser.api import FilerResource, FilingResource
from calaccess_campaign_browser import views
from calaccess_campaign_browser.views import search
from django.views.... | mit | 7ba7e8bb8da4f6257cc1a8e717f1afcb | 26.882353 | 72 | 0.577004 | 3.334115 | false | false | false | false |
mrkipling/maraschino | lib/jinja2/exceptions.py | 398 | 4530 | # -*- coding: utf-8 -*-
"""
jinja2.exceptions
~~~~~~~~~~~~~~~~~
Jinja exceptions.
:copyright: (c) 2010 by the Jinja Team.
:license: BSD, see LICENSE for more details.
"""
class TemplateError(Exception):
"""Baseclass for all template errors."""
def __init__(self, message=None):
i... | mit | 73acc73e1d51ce721005d815a99e14b7 | 30.678322 | 77 | 0.625386 | 4.476285 | false | false | false | false |
mrkipling/maraschino | lib/weatherfeed/weatherfeed.py | 3 | 9652 | #!/usr/bin/env python
# $HeadURL: http://opensource.hld.ca/svn/trunk/ctw/weatherfeed.py $
# $Id: weatherfeed.py 315 2009-07-14 12:17:40Z dan $
# vim: ft=python ts=2 sw=2 et:
# Copyright Dan Cardamore <dan@hld.ca>
# Licensed under the GNU GPL version 2.0
# See GPL.gz in source distribution for more information
# Reads... | mit | 1124b04cd51edafc810667dafa8b241b | 33.348754 | 133 | 0.586718 | 3.931568 | false | false | false | false |
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