hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3381bce7b28f53feb9789c93d7c88a32fa091141 | 351 | py | Python | tests/conftest.py | roshni-b/cidc-cli | c457a6389da040e964eb8dc919a93fd002df0fdb | [
"MIT"
] | 2 | 2019-04-05T17:31:13.000Z | 2020-04-20T23:47:54.000Z | tests/conftest.py | roshni-b/cidc-cli | c457a6389da040e964eb8dc919a93fd002df0fdb | [
"MIT"
] | 16 | 2019-02-19T14:38:04.000Z | 2021-06-16T18:07:51.000Z | tests/conftest.py | roshni-b/cidc-cli | c457a6389da040e964eb8dc919a93fd002df0fdb | [
"MIT"
] | 3 | 2020-09-10T01:54:17.000Z | 2022-02-15T17:55:01.000Z | #!/usr/bin/env python
"""
Configuration file for pytest.
"""
__author__ = "Lloyd McCarthy"
__license__ = "MIT"
import sys
from os.path import abspath, dirname
import pytest
from click.testing import CliRunner
PACKAGE_PATH = abspath(dirname(dirname(__file__)))
sys.path.insert(0, PACKAGE_PATH)
@pytest.fixture
def runner():
return CliRunner()
| 16.714286 | 50 | 0.752137 | 46 | 351 | 5.434783 | 0.652174 | 0.112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003289 | 0.133903 | 351 | 20 | 51 | 17.55 | 0.819079 | 0.145299 | 0 | 0 | 0 | 0 | 0.058219 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.363636 | 0.090909 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3386295c4d12ed25121e563f298caaf00b67c09f | 3,174 | py | Python | chainer/functions/connection/dilated_convolution_2d.py | Evanc123/chainer | 929af7189b1271683200aa9b0ba6da2dd3dee110 | [
"MIT"
] | null | null | null | chainer/functions/connection/dilated_convolution_2d.py | Evanc123/chainer | 929af7189b1271683200aa9b0ba6da2dd3dee110 | [
"MIT"
] | 2 | 2019-05-14T15:45:01.000Z | 2019-05-15T07:12:49.000Z | chainer/functions/connection/dilated_convolution_2d.py | Evanc123/chainer | 929af7189b1271683200aa9b0ba6da2dd3dee110 | [
"MIT"
] | null | null | null | from chainer.functions.connection import convolution_2d
def dilated_convolution_2d(x, W, b=None, stride=1, pad=0, dilate=1,
cover_all=False):
"""Two-dimensional dilated convolution function.
This is an implementation of two-dimensional dilated convolution
in ConvNets.
It takes three variables: the input image ``x``, the filter weight ``W``,
and the bias vector ``b``.
.. note::
You can also perform dilated convolution by passing ``dilate``
argument to :class:`chainer.functions.convolution_2d`.
The functionality is the same.
Notation: here is a notation for dimensionalities.
- :math:`n` is the batch size.
- :math:`c_I` and :math:`c_O` are the number of the input and output,
respectively.
- :math:`h` and :math:`w` are the height and width of the input image,
respectively.
- :math:`k_H` and :math:`k_W` are the height and width of the filters,
respectively.
Args:
x (~chainer.Variable): Input variable of shape :math:`(n, c_I, h, w)`.
W (~chainer.Variable): Weight variable of shape
:math:`(c_O, c_I, k_H, k_W)`.
b (~chainer.Variable): Bias variable of length :math:`c_O` (optional).
stride (int or pair of ints): Stride of filter applications.
``stride=s`` and ``stride=(s, s)`` are equivalent.
pad (int or pair of ints): Spatial padding width for input arrays.
``pad=p`` and ``pad=(p, p)`` are equivalent.
dilate (int or pair of ints): Dilation factor of filter applications.
``dilate=d`` and ``dilate=(d, d)`` are equivalent.
cover_all (bool): If ``True``, all spatial locations are convoluted
into some output pixels. It may make the output size larger.
Returns:
~chainer.Variable: Output variable.
The two-dimensional dilated convolution function is defined as follows.
Then the ``DilatedConvolution2D`` function computes correlations
between filters and patches of size :math:`(k_H, k_W)` in ``x``.
Patches here are extracted at intervals of the dilation factor.
Note that correlation here is equivalent to the inner product between
expanded vectors.
Patches are extracted at intervals of the dilation factor and at positions
shifted by multiples of ``stride`` from the first position ``-pad`` for
each spatial axis. The right-most (or bottom-most) patches do not run over
the padded spatial size.
Let :math:`(s_Y, s_X)` be the stride of filter application,
:math:`(p_H, p_W)` the spatial padding size, and :math:`(d_Y, d_X)`
the dilation factor of filter application. Then, the output size
:math:`(h_O, w_O)` is determined by the following equations:
.. math::
h_O &= (h + 2p_H - k_H - (k_H - 1) * (d_Y - 1)) / s_Y + 1,\\\\
w_O &= (w + 2p_W - k_W - (k_W - 1) * (d_X - 1)) / s_X + 1.
If the bias vector is given, then it is added to all spatial locations of
the output of convolution.
"""
return convolution_2d.convolution_2d(x, W, b,
stride, pad, cover_all, dilate=dilate)
| 44.083333 | 79 | 0.643982 | 470 | 3,174 | 4.261702 | 0.321277 | 0.014978 | 0.031453 | 0.047928 | 0.146281 | 0.067898 | 0.067898 | 0.067898 | 0 | 0 | 0 | 0.007152 | 0.251103 | 3,174 | 71 | 80 | 44.704225 | 0.835507 | 0.836169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
33874751bbafdac9ff9f33f279e2efc7cc9af3e1 | 1,167 | py | Python | tests/issues/issue_271.py | wjlei1990/radical.saga | de022ea4fb29d95e8acffff8a68aa8648de807d4 | [
"MIT"
] | 12 | 2019-04-13T21:41:45.000Z | 2021-08-03T09:43:25.000Z | tests/issues/issue_271.py | wjlei1990/radical.saga | de022ea4fb29d95e8acffff8a68aa8648de807d4 | [
"MIT"
] | 103 | 2019-04-10T14:23:41.000Z | 2022-03-15T19:43:56.000Z | tests/issues/issue_271.py | wjlei1990/radical.saga | de022ea4fb29d95e8acffff8a68aa8648de807d4 | [
"MIT"
] | 7 | 2019-07-11T07:59:56.000Z | 2022-02-02T22:28:24.000Z |
import os
import sys
import radical.saga as saga
def main():
"""This code fails consistently after 16 copy opertaions:
Copied file 0
Copied file 1
Copied file 2
Copied file 3
Copied file 4
Copied file 5
Copied file 6
Copied file 7
Copied file 8
Copied file 9
Copied file 10
Copied file 11
Copied file 12
Copied file 13
Copied file 14
Copied file 15
"""
try:
for t in range(0, 32):
f = saga.filesystem.File("sftp://login1.stampede.tacc.utexas.edu//etc/passwd")
f.copy("file://localhost//tmp/passwd-%s" % t)
print("Copied file %s" % t)
f.close()
return 0
except saga.SagaException as ex:
# Catch all saga exceptions
print("An exception occured: (%s) %s " % (ex.type, (str(ex))))
# Trace back the exception. That can be helpful for debugging.
print(" \n*** Backtrace:\n %s" % ex.traceback)
return -1
if __name__ == "__main__":
sys.exit(main())
| 24.3125 | 90 | 0.520994 | 147 | 1,167 | 4.081633 | 0.55102 | 0.283333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042135 | 0.389889 | 1,167 | 47 | 91 | 24.829787 | 0.800562 | 0.319623 | 0 | 0 | 0 | 0 | 0.263605 | 0.137755 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0.117647 | 0.176471 | 0 | 0.352941 | 0.176471 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
339daa726b474f0d3df5b3d46cc5751b1a39f304 | 12,424 | py | Python | pyemm/ElementProperties.py | drix00/pyelectronmicroscopymodeling | 6a6d3bd174a8d6092332b59cae55c6b71dbba6d9 | [
"Apache-2.0"
] | null | null | null | pyemm/ElementProperties.py | drix00/pyelectronmicroscopymodeling | 6a6d3bd174a8d6092332b59cae55c6b71dbba6d9 | [
"Apache-2.0"
] | 1 | 2020-06-18T00:00:45.000Z | 2020-06-18T00:00:45.000Z | pyemm/ElementProperties.py | drix00/pyelectronmicroscopymodeling | 6a6d3bd174a8d6092332b59cae55c6b71dbba6d9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
""" """
# Script information for the file.
__author__ = "Hendrix Demers (hendrix.demers@mail.mcgill.ca)"
__version__ = ""
__date__ = ""
__copyright__ = "Copyright (c) 2007 Hendrix Demers"
__license__ = ""
# Subversion informations for the file.
__svnRevision__ = "$Revision: 2146 $"
__svnDate__ = "$Date: 2011-01-03 07:32:06 -0500 (Mon, 03 Jan 2011) $"
__svnId__ = "$Id: ElementProperties.py 2146 2011-01-03 12:32:06Z hdemers $"
# Standard library modules.
import math
# Third party modules.
# Local modules.
# Globals and constants variables.
g_AvogadroNumber_atom_mol = 6.02205E23
g_elementSymbol = [
"H" , "He" , "Li" , "Be" , "B" , "C" , "N" , "O"
, "F" , "Ne" , "Na" , "Mg" , "Al" , "Si" , "P" , "S"
, "Cl" , "Ar" , "K" , "Ca" , "Sc" , "Ti" , "V" , "Cr"
, "Mn" , "Fe" , "Co" , "Ni" , "Cu" , "Zn" , "Ga" , "Ge"
, "As" , "Se" , "Br" , "Kr" , "Rb" , "Sr" , "Y" , "Zr"
, "Nb" , "Mo" , "Tc" , "Ru" , "Rh" , "Pd" , "Ag" , "Cd"
, "In" , "Sn" , "Sb" , "Te" , "I" , "Xe" , "Cs" , "Ba"
, "La" , "Ce" , "Pr" , "Nd" , "Pm" , "Sm" , "Eu" , "Gd"
, "Tb" , "Dy" , "Ho" , "Er" , "Tm" , "Yb" , "Lu" , "Hf"
, "Ta" , "W" , "Re" , "Os" , "Ir" , "Pt" , "Au" , "Hg"
, "Tl" , "Pb" , "Bi" , "Po" , "At" , "Rn" , "Fr" , "Ra"
, "Ac" , "Th" , "Pa" , "U" , "Np" , "Pu" , "Am" , "Cm"
, "Bk" , "Cf" , "Es" , "Fm" , "Md" , "No" , "Lr" , "Unq"
, "Unp" , "Unh"]
g_elementName = [
"Hydrogen"
, "Helium"
, "Lithium"
, "Beryllium"
, "Boron"
, "Carbon"
, "Nitrogen"
, "Oxygen"
, "Fluorine"
, "Neon"
, "Sodium"
, "Magnesium"
, "Aluminium"
, "Silicon"
, "Phosphorus"
, "Sulfur"
, "Chlorine"
, "Argon"
, "Potassium"
, "Calcium"
, "Scandium"
, "Titanium"
, "Vanadium"
, "Chromium"
, "Manganese"
, "Iron"
, "Cobalt"
, "Nickel"
, "Copper"
, "Zinc"
, "Gallium"
, "Germanium"
, "Arsenic"
, "Selenium"
, "Bromine"
, "Krypton"
, "Rubidium"
, "Strontium"
, "Yttrium"
, "Zirconium"
, "Niobium"
, "Molybdenum"
, "Technetium"
, "Ruthenium"
, "Rhodium"
, "Palladium"
, "Silver"
, "Cadmium"
, "Indium"
, "Tin"
, "Antimony"
, "Tellurium"
, "Iodine"
, "Xenon"
, "Cesium"
, "Barium"
, "Lanthanum"
, "Cerium"
, "Praseodymium"
, "Neodymium"
, "Promethium"
, "Samarium"
, "Europium"
, "Gadolinium"
, "Terbium"
, "Dysprosium"
, "Holmium"
, "Erbium"
, "Thulium"
, "Ytterbium"
, "Lutetium"
, "Hafnium"
, "Tantalum"
, "Tungsten"
, "Rhenium"
, "Osmium"
, "Iridium"
, "Platinum"
, "Gold"
, "Mercury"
, "Thallium"
, "Lead"
, "Bismuth"
, "Polonium"
, "Astatine"
, "Radon"
, "Francium"
, "Radium"
, "Actinium"
, "Thorium"
, "Protactinium"
, "Uranium"
, "Neptunium"
, "Plutonium"
, "Americium"
, "Curium"
, "Berkelium"
, "Californium"
, "Einsteinium"
, "Fermium"
, "Mendelevium"
, "Nobelium"
, "Lawrencium"
, "Unnilquadium"
, "Unnilpentium"
, "Unnilhexium"]
"""
* Mass density of element in atomic number order.
*
* For elment H to Cm (1--96).
*
* In \f$ \gram\per\centi\meter^{3} \f$.
*
* From: Tableau periodique des elements, Sargent-Welch scientifique Canada
* Limitee.
*
* @note Element Z = 85 and 87 set to 1 for the calculation.
"""
g_massDensity_g_cm3 = [
0.0899, 0.1787, 0.5300, 1.8500, 2.3400, 2.6200, 1.2510, 1.4290,
1.6960, 0.9010, 0.9700, 1.7400, 2.7000, 2.3300, 1.8200, 2.0700,
3.1700, 1.7840, 0.8600, 1.5500, 3.0000, 4.5000, 5.8000, 7.1900,
7.4300, 7.8600, 8.9000, 8.9000, 8.9600, 7.1400, 5.9100, 5.3200,
5.7200, 4.8000, 3.1200, 3.7400, 1.5300, 2.6000, 4.5000, 6.4900,
8.5500, 10.200, 11.500, 12.200, 12.400, 12.000, 10.500, 8.6500,
7.3100, 7.3000, 6.6800, 6.2400, 4.9200, 5.8900, 1.8700, 3.5000,
6.7000, 6.7800, 6.7700, 7.0000, 6.4750, 7.5400, 5.2600, 7.8900,
8.2700, 8.5400, 8.8000, 9.0500, 9.3300, 6.9800, 9.8400, 13.100,
16.600, 19.300, 21.000, 22.400, 22.500, 21.400, 19.300, 13.530,
11.850, 11.400, 9.8000, 9.4000, 1.0000, 9.9100, 1.0000, 5.0000,
10.070, 11.700, 15.400, 18.900, 20.400, 19.800, 13.600, 13.511
]
"""
* Atomic weight of element in atomic number order.
*
* For element H to Sg (1--106).
*
* Unit \f$ \gram\per\mole \f$.
*
* From: Tableau periodique des elements, Sargent-Welch scientifique Canada
* Limitee.
"""
g_atomicMass_g_mol = [
1.0079000, 4.0026000, 6.9410000, 9.0121800, 10.810000, 12.011000,
14.006700, 15.999400, 18.998403, 20.179000, 22.989770, 24.305000,
26.981540, 28.085500, 30.973760, 32.060000, 35.453000, 39.948000,
39.098300, 40.080000, 44.955900, 47.900000, 50.941500, 51.996000,
54.938000, 55.847000, 58.933200, 58.700000, 63.546000, 65.380000,
69.720000, 72.590000, 74.921600, 78.960000, 79.904000, 83.800000,
85.467800, 87.620000, 88.905600, 91.220000, 92.906400, 95.940000,
98.000000, 101.07000, 102.90550, 106.40000, 107.86800, 112.41000,
114.82000, 118.69000, 121.75000, 127.60000, 126.90450, 131.30000,
132.90540, 137.33000, 138.90550, 140.12000, 140.90770, 144.24000,
145.00000, 150.40000, 151.96000, 157.25000, 158.92540, 162.50000,
164.93040, 167.26000, 168.93420, 173.04000, 174.96700, 178.49000,
180.94790, 183.85000, 186.20700, 190.20000, 192.22000, 195.09000,
196.96650, 200.59000, 204.37000, 207.20000, 208.98040, 209.00000,
210.00000, 222.00000, 223.00000, 226.02540, 227.02780, 232.03810,
231.03590, 238.02900, 237.04820, 244.00000, 243.00000, 247.00000,
247.00000, 251.00000, 252.00000, 257.00000, 258.00000, 259.00000,
260.00000, 261.00000, 262.00000, 263.00000
]
"""
* Fermi energy of element in atomic number order.
*
* For element H to Lr (1--103).
* From: CASINO source code, DOS version.
*
* @todo Add units.
"""
g_FermiEnergy = [
1.000, 1.000, 4.700, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 3.100, 1.000, 1.000, 0.555, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 7.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 5.500, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 5.500, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000,
1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 1.000, 0.000,
1.000, 1.000, 1.000, 1.000
]
"""
* Fermi wavelength of element in atomic number order.
*
* For element H to Lr (1--103).
* From: CASINO source code, DOS version.
*
* @todo Add units.
"""
g_kFermi = [
7.00E7, 7.00E7, 1.10E8, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 9.00E7, 7.00E7, 7.00E7, 4.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 1.35E8, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 1.19E8, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 1.19E8, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7, 7.00E7,
7.00E7, 7.00E7, 0.00E0, 7.00E7, 7.00E7, 7.00E7, 7.00E7
]
"""
* Plasmon energy of element in atomic number order.
*
* For element H to Lr (1--103).
* From: CASINO source code, DOS version.
*
* @todo Add units.
"""
g_plasmonEnergy = [
15.0, 15.0, 7.10, 18.7, 22.7, 15.0, 15.0, 15.0, 15.0, 15.0, 5.70,
10.3, 15.0, 16.7, 15.0, 15.0, 15.0, 15.0, 3.70, 8.80, 14.0, 17.9,
21.8, 24.9, 21.6, 23.0, 20.9, 20.7, 19.3, 17.2, 13.8, 16.2, 15.0,
15.0, 15.0, 15.0, 3.41, 8.00, 12.5, 15.0, 15.0, 15.0, 15.0, 15.0,
15.0, 15.0, 15.0, 19.2, 15.0, 13.4, 15.2, 17.0, 11.4, 15.0, 2.90,
7.20, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 13.3, 15.0,
15.0, 14.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0,
35.0, 15.0, 15.0, 15.0, 13.0, 14.2, 15.0, 15.0, 15.0, 15.0, 15.0,
25.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0,
15.0, 15.0, 15.0, 15.0
]
def getMassDensity_g_cm3(atomicNumber):
index = atomicNumber - 1
return g_massDensity_g_cm3[index]
def getAtomicMass_g_mol(atomicNumber):
index = atomicNumber - 1
return g_atomicMass_g_mol[index]
def getFermiEnergy_eV(atomicNumber):
index = atomicNumber - 1
return g_FermiEnergy[index]
def getKFermi_eV(atomicNumber):
index = atomicNumber - 1
return g_kFermi[index]
def getPlasmonEnergy_eV(atomicNumber):
index = atomicNumber - 1
return g_plasmonEnergy[index]
def getMeanIonizationEnergy_eV(atomicNumber):
"""
* Get the mean ionization potential from the atomic number.
*
* In \f$ \electronvolt \f$.
*
* @param[in] atomicNumber Atomic number.
"""
if atomicNumber <= 13.0:
Value = 11.5 * atomicNumber
else:
if math.pow(atomicNumber, 0.19) > 0.0:
Value = 9.76 * atomicNumber + 58.8 / math.pow(atomicNumber, 0.19)
else:
Value = 0.0
return Value
def getKRatioCorrection(atomicNumber):
"""
* Get the constant k ratio correction needed by the mean ionization potential
* from the atomic number.
*
* @param[in] atomicNumber Atomic number.
"""
Value = 0.734 * math.pow(atomicNumber, 0.037);
return Value
def getKRatioCorrectionMonsel(atomicNumber, workFunction_keV):
"""
/// K value as defined by Monsel.
/// Used in DE/DS calculation. Casino uses K Gauvin,but for low energy,
/// JR Lowney says that this one is more appropriate (and by experience,
/// it is effectively better for the secondary yield).
/// <p> NOTE : Depends on J (ionisation potential). So it must already be calculated before.
/// @param element Element for whom we want to calculate the K value.
/// @return The K value of the element passed in argument
"""
value = (0.8576 - (workFunction_keV + 1.0e-3) / getMeanIonizationEnergy_eV(atomicNumber))
return value
def computeAtomicDensity_atom_cm3(massDensity_g_cm3, atomicMass_g_mol):
"""
* Compute the atomic density.
*
* \f[
* n_{i} = \frac{N_{A} \rho_{i}}{A_{i}}
* \f]
* where
* - \f$ n_{i} \f$ is the atomic density in \f$ \mathrm{atoms}\per\centi\meter^{3} \f$
* - \f$ N_{A} \f$ is the Avogadro number in \f$ \mathrm{atoms}\per\mole \f$
* - \f$ \rho_{i} \f$ is the mass density in \f$ \gram\per\centi\meter^{3} \f$
* - \f$ A_{i} \f$ is the atomic mass in \f$ \gram\per\mole \f$
*
* \param[in] massDensity_g_cm3
* \param[in] atomicMass_g_mol
"""
return g_AvogadroNumber_atom_mol * massDensity_g_cm3 / atomicMass_g_mol
def getSymbol(atomicNumber):
index = int(atomicNumber - 1)
return g_elementSymbol[index]
def getName(atomicNumber):
index = atomicNumber - 1
return g_elementName[index]
def getAtomicNumberBySymbol(symbol):
try:
return g_elementSymbol.index(symbol.capitalize()) + 1
except ValueError:
raise ValueError('Invalid symbol: ' + symbol)
def getAtomicNumberByName(name):
try:
return g_elementName.index(name.capitalize()) + 1
except ValueError:
raise ValueError('Invalid name: ' + name)
def getAtomicNumber(atomicNumber=None, name=None, symbol=None):
if atomicNumber != None:
return int(atomicNumber)
elif name != None:
return getAtomicNumberByName(name)
elif symbol != None:
return getAtomicNumberBySymbol(symbol)
def runAtomicNumberSymbol():
atomicNumbers = range(1, 92 + 1, 1)
for atomicNumber in atomicNumbers:
symbol = getSymbol(atomicNumber)
print("%s" % (symbol))
if __name__ == '__main__': #pragma: no cover
runAtomicNumberSymbol()
| 31.532995 | 93 | 0.579845 | 1,940 | 12,424 | 3.660309 | 0.362371 | 0.054077 | 0.08872 | 0.099141 | 0.324039 | 0.292635 | 0.266441 | 0.231798 | 0.208281 | 0.20138 | 0 | 0.274153 | 0.23519 | 12,424 | 393 | 94 | 31.613232 | 0.473164 | 0.111075 | 0 | 0.104089 | 0 | 0.003717 | 0.128169 | 0.003143 | 0 | 0 | 0 | 0.007634 | 0 | 1 | 0.055762 | false | 0 | 0.003717 | 0 | 0.118959 | 0.003717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33a6ca66e0f098738724507ff6893baa04f6cc03 | 992 | py | Python | src/production_file.py | AfricasVoices/Project-ICRAF | daa53a405df1572d6815acc551c07cd80bc86953 | [
"MIT"
] | null | null | null | src/production_file.py | AfricasVoices/Project-ICRAF | daa53a405df1572d6815acc551c07cd80bc86953 | [
"MIT"
] | 15 | 2019-03-18T13:20:17.000Z | 2020-06-16T11:54:58.000Z | src/production_file.py | AfricasVoices/Project-ICRAF | daa53a405df1572d6815acc551c07cd80bc86953 | [
"MIT"
] | null | null | null | from core_data_modules.traced_data.io import TracedDataCSVIO
from src.lib import PipelineConfiguration
class ProductionFile(object):
@staticmethod
#TODO: Generate production file per episode
def generate(data, production_csv_output_path):
production_keys = ["uid"]
for plan in PipelineConfiguration.RQA_CODING_PLANS:
if plan.raw_field not in production_keys:
production_keys.append(plan.raw_field)
for plan in PipelineConfiguration.FOLLOW_UP_CODING_PLANS:
if plan.raw_field not in production_keys:
production_keys.append(plan.raw_field)
for plan in PipelineConfiguration.DEMOGS_CODING_PLANS:
if plan.raw_field not in production_keys:
production_keys.append(plan.raw_field)
with open(production_csv_output_path, "w") as f:
TracedDataCSVIO.export_traced_data_iterable_to_csv(data, f, headers=production_keys)
return data
| 41.333333 | 96 | 0.707661 | 121 | 992 | 5.512397 | 0.421488 | 0.167916 | 0.107946 | 0.134933 | 0.431784 | 0.431784 | 0.431784 | 0.431784 | 0.431784 | 0.431784 | 0 | 0 | 0.237903 | 992 | 23 | 97 | 43.130435 | 0.882275 | 0.042339 | 0 | 0.333333 | 1 | 0 | 0.004215 | 0 | 0 | 0 | 0 | 0.043478 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33adba1bef88a691d7afb350d40b7e88bf5c35ff | 1,730 | py | Python | tests/BaseTestClass.py | mihudec/netcm | 380786793e35206cae923e613458be9eb9f0a02e | [
"MIT"
] | null | null | null | tests/BaseTestClass.py | mihudec/netcm | 380786793e35206cae923e613458be9eb9f0a02e | [
"MIT"
] | null | null | null | tests/BaseTestClass.py | mihudec/netcm | 380786793e35206cae923e613458be9eb9f0a02e | [
"MIT"
] | 1 | 2021-08-09T06:33:28.000Z | 2021-08-09T06:33:28.000Z | import sys
import pathlib
import unittest
import yaml
from net_models.models.BaseModels import BaseNetModel, VendorIndependentBaseModel
from net_models.utils import get_logger
class TestBaseNetModel(unittest.TestCase):
LOGGER = get_logger(name="NetCm-Tests", verbosity=5)
TEST_CLASS = BaseNetModel
def test_subclasses_basemodel(self):
self.assertTrue(issubclass(self.TEST_CLASS, BaseNetModel))
def test_has_dict_method(self):
self.assertTrue(hasattr(self.TEST_CLASS, "__dict__"))
def test_has_validators(self):
self.assertTrue(hasattr(self.TEST_CLASS, "__validators__"))
def load_yaml(self, path: pathlib.Path):
return yaml.safe_load(path.read_text())
class TestVendorIndependentBase(TestBaseNetModel):
TEST_CLASS = VendorIndependentBaseModel
RESOURCE_DIR = pathlib.Path(__file__).resolve().parent.joinpath("resources")
def test_has_resource_dir(self):
# print(f"RESOURCE_DIR for {model.__class__.__name__}: {model.RESOURCE_DIR}")
self.assertIsInstance(self.RESOURCE_DIR, pathlib.Path)
def get_resource_yaml(self):
resource_files = [x for x in self.RESOURCE_DIR.joinpath("data").iterdir() if x.is_file and x.suffix in [".yml"] and x.stem.startswith(self.__class__.__name__)]
return resource_files
def test_load_yaml(self):
resource_files = self.get_resource_yaml()
for resource_file in resource_files:
with self.subTest(msg=resource_file.stem):
test_data = self.load_yaml(path=resource_file)
test_obj = self.TEST_CLASS.parse_obj(test_data)
self.assertIsInstance(test_obj, BaseNetModel)
if __name__ == '__main__':
unittest.main() | 35.306122 | 167 | 0.727168 | 215 | 1,730 | 5.460465 | 0.330233 | 0.045997 | 0.044293 | 0.040886 | 0.112436 | 0.064736 | 0.064736 | 0 | 0 | 0 | 0 | 0.000702 | 0.176301 | 1,730 | 49 | 168 | 35.306122 | 0.823158 | 0.043353 | 0 | 0 | 0 | 0 | 0.035067 | 0 | 0 | 0 | 0 | 0 | 0.147059 | 1 | 0.205882 | false | 0 | 0.176471 | 0.029412 | 0.617647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
33baf6a45bf01ece18040b38b4ade97b7e433cad | 2,131 | py | Python | web_logic/user_manipulator.py | teddy4445/lecture_website_app_generator | cd5d3b290ad1bbb7e1b1791de84163a85a237969 | [
"MIT"
] | 4 | 2020-08-26T08:30:14.000Z | 2020-11-11T14:47:04.000Z | web_logic/user_manipulator.py | teddy4445/lecture_website_app_generator | cd5d3b290ad1bbb7e1b1791de84163a85a237969 | [
"MIT"
] | 34 | 2020-08-26T14:39:40.000Z | 2020-12-16T15:24:03.000Z | web_logic/user_manipulator.py | lecture-developer/lecture_website_app_generator | cd5d3b290ad1bbb7e1b1791de84163a85a237969 | [
"MIT"
] | 2 | 2020-08-17T08:31:27.000Z | 2020-08-29T20:06:51.000Z | import zipfile
import sys
import os
from web_logic.github_pages_manager import GithubPagesManager
def create_new_user(user_name) -> None:
# TODO: insert user to DB
pass
manager = GithubPagesManager()
dir_path = '\\'.join([manager.users_websites_folder, user_name])
try:
# create new folder for the user in the users directory
os.mkdir(dir_path)
# download template code into the user's directory
manager.login(user_name='username', password='password')
manager.download_template(dir_path)
file_path = ''
# get the zip file path
for file in os.listdir(dir_path):
if file.endswith('.zip'):
file_path = '\\'.join([dir_path, file])
if file_path != '':
# extract files from zip
with zipfile.ZipFile(file_path, 'r') as zip_ref:
zip_ref.extractall(dir_path)
os.remove(file_path)
# get data from user
# TODO: get the data from the user
data = {'f1.txt': 'dude', 'f2.txt': 'dude2'}
# update local user's directory
for file_name, content in data.items():
# create the path to the file inside the user's directory
file_path = '/'.join([dir_path, file_name])
with open(file_path, 'w') as f:
f.write(content)
# TODO: continue to git...
pass
except Exception as e:
print(e, file=sys.stderr)
def update_user_data(user_name):
# get the path to folder of the user from the users directory
dir_path = '/'.join([GithubPagesManager.users_websites_folder, user_name])
# get data from user
# TODO: get the data from the user
data = {'f1.txt': 'dude3', 'f2.txt': 'dude21'}
# update local user's directory
for file_name, content in data.items():
# create the path to the file inside the user's directory
file_path = '/'.join([dir_path, file_name])
with open(file_path, 'w') as f:
f.write(content)
print(f'file updated: {f.name}')
# TODO: continue to git...
pass
| 30.014085 | 78 | 0.60535 | 290 | 2,131 | 4.306897 | 0.282759 | 0.064051 | 0.056045 | 0.040833 | 0.428343 | 0.351481 | 0.333066 | 0.333066 | 0.333066 | 0.333066 | 0 | 0.005295 | 0.290943 | 2,131 | 70 | 79 | 30.442857 | 0.82131 | 0.26138 | 0 | 0.297297 | 0 | 0 | 0.061657 | 0 | 0 | 0 | 0 | 0.014286 | 0 | 1 | 0.054054 | false | 0.108108 | 0.108108 | 0 | 0.162162 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
33c542fcfdf590fbe09ccf67068ebbb02520a7e1 | 4,981 | py | Python | characters/models.py | Guilehm/marvel-api | 3bbdc22eedca4fcd0aa7305d8ee261966a207cdd | [
"MIT"
] | null | null | null | characters/models.py | Guilehm/marvel-api | 3bbdc22eedca4fcd0aa7305d8ee261966a207cdd | [
"MIT"
] | 35 | 2019-02-13T23:05:01.000Z | 2019-02-19T23:49:49.000Z | characters/models.py | Guilehm/marvel-api | 3bbdc22eedca4fcd0aa7305d8ee261966a207cdd | [
"MIT"
] | null | null | null | from django.contrib.postgres.fields import JSONField
from django.db import models
from marvel.settings import BASE_URL
class Character(models.Model):
id = models.CharField(primary_key=True, max_length=50)
name = models.CharField(max_length=255)
description = models.TextField(null=True, blank=True)
resource_uri = models.URLField(null=True, blank=True)
data = JSONField(null=True, blank=True)
comics = models.ManyToManyField(
'characters.Comic',
related_name='characters',
blank=True,
through='CharacterComic',
through_fields=('character', 'comic')
)
series = models.ManyToManyField(
'characters.Series',
related_name='characters',
blank=True,
through='CharacterSeries',
through_fields=('character', 'series')
)
events = models.ManyToManyField(
'characters.Event',
related_name='characters',
blank=True,
through='CharacterEvent',
through_fields=('character', 'event')
)
stories = models.ManyToManyField(
'characters.Story',
related_name='characters',
blank=True,
through='CharacterStory',
through_fields=('character', 'story')
)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
def __str__(self):
return f'{self.name}'
def get_resource_uri(self, resource_name, api_version='v1'):
base_url = BASE_URL.format(api_version=api_version)
return f'{base_url}characters/{self.id}/{resource_name}'
@property
def thumbnail_url(self):
try:
thumb = self.data['thumbnail']
path, extension = thumb.values()
filename = path.rpartition('/')[-1]
if filename != 'image_not_available':
return f"{path}.{extension}"
except (IndexError, TypeError):
return
class CharacterComic(models.Model):
character = models.ForeignKey('characters.Character', on_delete=models.CASCADE)
comic = models.ForeignKey('characters.Comic', on_delete=models.CASCADE)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
class CharacterSeries(models.Model):
character = models.ForeignKey('characters.Character', on_delete=models.CASCADE)
series = models.ForeignKey('characters.Series', on_delete=models.CASCADE)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
class CharacterEvent(models.Model):
character = models.ForeignKey('characters.Character', on_delete=models.CASCADE)
event = models.ForeignKey('characters.Event', on_delete=models.CASCADE)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
class CharacterStory(models.Model):
character = models.ForeignKey('characters.Character', on_delete=models.CASCADE)
story = models.ForeignKey('characters.Story', on_delete=models.CASCADE)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
class Comic(models.Model):
id = models.CharField(primary_key=True, max_length=50)
name = models.CharField(max_length=255)
resource_uri = models.URLField(null=True, blank=True)
data = JSONField(null=True, blank=True)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
def __str__(self):
return f'{self.name}'
class Series(models.Model):
id = models.CharField(primary_key=True, max_length=50)
name = models.CharField(max_length=255)
resource_uri = models.URLField(null=True, blank=True)
data = JSONField(null=True, blank=True)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
def __str__(self):
return f'{self.name}'
class Meta:
verbose_name_plural = 'series'
class Event(models.Model):
id = models.CharField(primary_key=True, max_length=50)
name = models.CharField(max_length=255)
resource_uri = models.URLField(null=True, blank=True)
data = JSONField(null=True, blank=True)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
def __str__(self):
return f'{self.name}'
class Story(models.Model):
id = models.CharField(primary_key=True, max_length=50)
name = models.CharField(max_length=255, null=True, blank=True)
type = models.CharField(max_length=255)
resource_uri = models.URLField(null=True, blank=True)
data = JSONField(null=True, blank=True)
date_added = models.DateTimeField(auto_now_add=True)
date_changed = models.DateTimeField(auto_now=True)
def __str__(self):
return f'{self.name}'
class Meta:
verbose_name_plural = 'stories'
| 32.555556 | 83 | 0.699257 | 593 | 4,981 | 5.671164 | 0.153457 | 0.101695 | 0.123104 | 0.139161 | 0.683021 | 0.683021 | 0.639013 | 0.639013 | 0.639013 | 0.639013 | 0 | 0.007402 | 0.186308 | 4,981 | 152 | 84 | 32.769737 | 0.822354 | 0 | 0 | 0.530435 | 0 | 0 | 0.105802 | 0.009235 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06087 | false | 0 | 0.026087 | 0.043478 | 0.704348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
33dd7e158265316c5e2b9da0d326d6d615f85df5 | 1,003 | py | Python | online_cognacy_ident/tests/test_evaluation.py | Anaphory/online_cognacy_ident | 7a986af497e42871ac208d773a009bd844bc10d8 | [
"MIT"
] | 1 | 2017-11-19T10:35:39.000Z | 2017-11-19T10:35:39.000Z | online_cognacy_ident/tests/test_evaluation.py | Anaphory/online_cognacy_ident | 7a986af497e42871ac208d773a009bd844bc10d8 | [
"MIT"
] | 6 | 2017-11-18T20:21:28.000Z | 2019-01-10T10:56:02.000Z | online_cognacy_ident/tests/test_evaluation.py | Anaphory/online_cognacy_ident | 7a986af497e42871ac208d773a009bd844bc10d8 | [
"MIT"
] | 1 | 2019-01-08T23:48:36.000Z | 2019-01-08T23:48:36.000Z | from string import ascii_lowercase
from unittest import TestCase
from hypothesis.strategies import lists, sampled_from
from hypothesis import given
from online_cognacy_ident.evaluation import calc_b_cubed, calc_f_score
from online_cognacy_ident.tests.test_dataset import clusters
class EvaluationTestCase(TestCase):
@given(lists(sampled_from(ascii_lowercase), min_size=1))
def test_calc_b_cubed_on_identical_lists(self, labels):
self.assertEqual(calc_b_cubed(labels, labels), (1.0, 1.0, 1.0,))
@given(lists(sampled_from(ascii_lowercase), min_size=5, max_size=5),
lists(sampled_from(ascii_lowercase), min_size=5, max_size=5))
def test_calc_b_cubed_is_in_range(self, labels_a, labels_b):
res = calc_b_cubed(labels_a, labels_b)
for item in res:
self.assertTrue(0.0 <= item <= 1.0)
@given(clusters())
def test_calc_f_score_on_identical_clusters(self, clusters):
self.assertEqual(calc_f_score(clusters, clusters), 1.0)
| 34.586207 | 73 | 0.750748 | 152 | 1,003 | 4.625 | 0.309211 | 0.035562 | 0.071124 | 0.089616 | 0.246088 | 0.197724 | 0.197724 | 0.197724 | 0.130868 | 0.130868 | 0 | 0.020095 | 0.15653 | 1,003 | 28 | 74 | 35.821429 | 0.810875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.157895 | false | 0 | 0.315789 | 0 | 0.526316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
33ea363b3c84d03ae6312d2d62e46e73e96799ad | 75 | py | Python | test/python/WMCore_t/Agent_t/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 21 | 2015-11-19T16:18:45.000Z | 2021-12-02T18:20:39.000Z | test/python/WMCore_t/Agent_t/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 5,671 | 2015-01-06T14:38:52.000Z | 2022-03-31T22:11:14.000Z | test/python/WMCore_t/Agent_t/__init__.py | khurtado/WMCore | f74e252412e49189a92962945a94f93bec81cd1e | [
"Apache-2.0"
] | 67 | 2015-01-21T15:55:38.000Z | 2022-02-03T19:53:13.000Z | #!/usr/bin/env python
"""
_Agent_t_
Agent test methods
"""
__all__ = []
| 7.5 | 21 | 0.626667 | 10 | 75 | 4 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.186667 | 75 | 9 | 22 | 8.333333 | 0.655738 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33ec2f71761cd188cfa0f6d156a728a4aaf29ccd | 19,945 | py | Python | bip_utils/coin_conf/coins_conf.py | 3rdIteration/bip_utils | 84abeff9158618a0ecf9a059c19fd1a3d882e724 | [
"MIT"
] | null | null | null | bip_utils/coin_conf/coins_conf.py | 3rdIteration/bip_utils | 84abeff9158618a0ecf9a059c19fd1a3d882e724 | [
"MIT"
] | null | null | null | bip_utils/coin_conf/coins_conf.py | 3rdIteration/bip_utils | 84abeff9158618a0ecf9a059c19fd1a3d882e724 | [
"MIT"
] | null | null | null | # Copyright (c) 2021 Emanuele Bellocchia
#
# 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 without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
"""Module with generic coins configuration for all other modules."""
# Imports
from bip_utils.coin_conf.coin_conf import CoinConf
from bip_utils.utils.conf import CoinNames
# Bitcoin constants used by different coins
# Main net
_BTC_P2PKH_NET_VER_MN: bytes = b"\x00"
_BTC_P2SH_NET_VER_MN: bytes = b"\x05"
_BTC_P2WPKH_HRP_MN: str = "bc"
_BTC_P2WPKH_WIT_VER_MN: int = 0
_BTC_P2TR_HRP_MN: str = "bc"
_BTC_P2TR_WIT_VER_MN: int = 1
_BTC_WIF_NET_VER_MN: bytes = b"\x80"
# Test net
_BTC_P2PKH_NET_VER_TN: bytes = b"\x6f"
_BTC_P2SH_NET_VER_TN: bytes = b"\xc4"
_BTC_P2WPKH_HRP_TN: str = "tb"
_BTC_P2WPKH_WIT_VER_TN: int = 0
_BTC_P2TR_HRP_TN: str = "tb"
_BTC_P2TR_WIT_VER_TN: int = 1
_BTC_WIF_NET_VER_TN: bytes = b"\xef"
class CoinsConf:
"""Class container for coins configuration."""
# Configuration for Acala
Acala: CoinConf = CoinConf(
coin_name=CoinNames("Acala", "ACA"),
params={
"addr_ss58_format": 10,
},
)
# Configuration for Akash Network
AkashNetwork: CoinConf = CoinConf(
coin_name=CoinNames("Akash Network", "AKT"),
params={
"addr_hrp": "akash",
},
)
# Configuration for Algorand
Algorand: CoinConf = CoinConf(
coin_name=CoinNames("Algorand", "ALGO"),
params={},
)
# Configuration for Avax C-Chain
AvaxCChain: CoinConf = CoinConf(
coin_name=CoinNames("Avax C-Chain", "AVAX"),
params={},
)
# Configuration for Avax P-Chain
AvaxPChain: CoinConf = CoinConf(
coin_name=CoinNames("Avax P-Chain", "AVAX"),
params={
"addr_hrp": "avax",
"addr_prefix": "P-",
},
)
# Configuration for Avax X-Chain
AvaxXChain: CoinConf = CoinConf(
coin_name=CoinNames("Avax X-Chain", "AVAX"),
params={
"addr_hrp": "avax",
"addr_prefix": "X-",
},
)
# Configuration for Band Protocol
BandProtocol: CoinConf = CoinConf(
coin_name=CoinNames("Band Protocol", "BAND"),
params={
"addr_hrp": "band",
},
)
# Configuration for Bifrost
Bifrost: CoinConf = CoinConf(
coin_name=CoinNames("Bifrost", "BNC"),
params={
"addr_ss58_format": 6,
},
)
# Configuration for Binance Chain
BinanceChain: CoinConf = CoinConf(
coin_name=CoinNames("Binance Chain", "BNB"),
params={
"addr_hrp": "bnb",
},
)
# Configuration for Binance Smart Chain
BinanceSmartChain: CoinConf = CoinConf(
coin_name=CoinNames("Binance Smart Chain", "BNB"),
params={},
)
# Configuration for Bitcoin main net
BitcoinMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin", "BTC"),
params={
"p2pkh_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_net_ver": _BTC_P2SH_NET_VER_MN,
"p2wpkh_hrp": _BTC_P2WPKH_HRP_MN,
"p2wpkh_wit_ver": _BTC_P2WPKH_WIT_VER_MN,
"p2tr_hrp": _BTC_P2TR_HRP_MN,
"p2tr_wit_ver": _BTC_P2TR_WIT_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for Bitcoin test net
BitcoinTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin TestNet", "BTC"),
params={
"p2pkh_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_net_ver": _BTC_P2SH_NET_VER_TN,
"p2wpkh_hrp": _BTC_P2WPKH_HRP_TN,
"p2wpkh_wit_ver": _BTC_P2WPKH_WIT_VER_TN,
"p2tr_hrp": _BTC_P2TR_HRP_TN,
"p2tr_wit_ver": _BTC_P2TR_WIT_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Bitcoin Cash main net
BitcoinCashMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin Cash", "BCH"),
params={
"p2pkh_std_hrp": "bitcoincash",
"p2pkh_std_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_std_hrp": "bitcoincash",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for Bitcoin Cash test net
BitcoinCashTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin Cash TestNet", "BCH"),
params={
"p2pkh_std_hrp": "bchtest",
"p2pkh_std_net_ver": b"\x00",
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_std_hrp": "bchtest",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_TN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Bitcoin Cash Simple Ledger Protocol main net
BitcoinCashSlpMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin Cash SLP", "SLP"),
params={
"p2pkh_std_hrp": "simpleledger",
"p2pkh_std_net_ver": b"\x00",
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_std_hrp": "simpleledger",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for Bitcoin Cash Simple Ledger Protocol test net
BitcoinCashSlpTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Bitcoin Cash SLP TestNet", "SLP"),
params={
"p2pkh_std_hrp": "slptest",
"p2pkh_std_net_ver": b"\x00",
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_std_hrp": "slptest",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_TN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Bitcoin SV main net
BitcoinSvMainNet: CoinConf = CoinConf(
coin_name=CoinNames("BitcoinSV", "BSV"),
params={
"p2pkh_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_net_ver": _BTC_P2SH_NET_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for Bitcoin SV test net
BitcoinSvTestNet: CoinConf = CoinConf(
coin_name=CoinNames("BitcoinSV TestNet", "BSV"),
params={
"p2pkh_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_net_ver": _BTC_P2SH_NET_VER_TN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Celo
Celo: CoinConf = CoinConf(
coin_name=CoinNames("Celo", "CELO"),
params={},
)
# Configuration for Certik
Certik: CoinConf = CoinConf(
coin_name=CoinNames("Certik", "CTK"),
params={
"addr_hrp": "certik",
},
)
# Configuration for ChainX
ChainX: CoinConf = CoinConf(
coin_name=CoinNames("ChainX", "PCX"),
params={
"addr_ss58_format": 44,
},
)
# Configuration for Chihuahua
Chihuahua: CoinConf = CoinConf(
coin_name=CoinNames("Chihuahua", "HUAHUA"),
params={
"addr_hrp": "chihuahua",
},
)
# Configuration for Cosmos
Cosmos: CoinConf = CoinConf(
coin_name=CoinNames("Cosmos", "ATOM"),
params={
"addr_hrp": "cosmos",
},
)
# Configuration for Dash main net
DashMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Dash", "DASH"),
params={
"p2pkh_net_ver": b"\x4c",
"p2sh_net_ver": b"\x10",
"wif_net_ver": b"\xcc",
},
)
# Configuration for Dash test net
DashTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Dash TestNet", "DASH"),
params={
"p2pkh_net_ver": b"\x8c",
"p2sh_net_ver": b"\x13",
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Dogecoin main net
DogecoinMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Dogecoin", "DOGE"),
params={
"p2pkh_net_ver": b"\x1e",
"p2sh_net_ver": b"\x16",
"wif_net_ver": b"\x9e",
},
)
# Configuration for Dogecoin test net
DogecoinTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Dogecoin TestNet", "DOGE"),
params={
"p2pkh_net_ver": b"\x71",
"p2sh_net_ver": _BTC_P2SH_NET_VER_TN,
"wif_net_ver": b"\xf1",
},
)
# Configuration for eCash main net
EcashMainNet: CoinConf = CoinConf(
coin_name=CoinNames("eCash", "XEC"),
params={
"p2pkh_std_hrp": "ecash",
"p2pkh_std_net_ver": b"\x00",
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_std_hrp": "ecash",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_MN,
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for eCash test net
EcashTestNet: CoinConf = CoinConf(
coin_name=CoinNames("eCash TestNet", "XEC"),
params={
"p2pkh_std_hrp": "ectest",
"p2pkh_std_net_ver": b"\x00",
"p2pkh_legacy_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_std_hrp": "ectest",
"p2sh_std_net_ver": b"\x08",
"p2sh_legacy_net_ver": _BTC_P2SH_NET_VER_TN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Edgeware
Edgeware: CoinConf = CoinConf(
coin_name=CoinNames("Edgeware", "EDG"),
params={
"addr_ss58_format": 7,
},
)
# Configuration for Elrond
Elrond: CoinConf = CoinConf(
coin_name=CoinNames("Elrond eGold", "eGLD"),
params={
"addr_hrp": "erd",
},
)
# Configuration for Eos
Eos: CoinConf = CoinConf(
coin_name=CoinNames("EOS", "EOS"),
params={
"addr_prefix": "EOS",
},
)
# Configuration for Ethereum
Ethereum: CoinConf = CoinConf(
coin_name=CoinNames("Ethereum", "ETH"),
params={
"addr_prefix": "0x",
},
)
# Configuration for Ethereum Classic
EthereumClassic: CoinConf = CoinConf(
coin_name=CoinNames("Ethereum Classic", "ETC"),
params={},
)
# Configuration for Fantom Opera
FantomOpera: CoinConf = CoinConf(
coin_name=CoinNames("Fantom Opera", "FTM"),
params={},
)
# Configuration for Filecoin
Filecoin: CoinConf = CoinConf(
coin_name=CoinNames("Filecoin", "FIL"),
params={
"addr_prefix": "f",
},
)
# Configuration for generic Substrate coin
GenericSubstrate: CoinConf = CoinConf(
coin_name=CoinNames("Generic Substrate", ""),
params={
"addr_ss58_format": 42,
},
)
# Configuration for Harmony One
HarmonyOne: CoinConf = CoinConf(
coin_name=CoinNames("Harmony One", "ONE"),
params={
"addr_hrp": "one",
},
)
# Configuration for Huobi Chain
HuobiChain: CoinConf = CoinConf(
coin_name=CoinNames("Huobi Token", "HT"),
params={},
)
# Configuration for IRISnet
IrisNet: CoinConf = CoinConf(
coin_name=CoinNames("IRIS Network", "IRIS"),
params={
"addr_hrp": "iaa",
},
)
# Configuration for Karura
Karura: CoinConf = CoinConf(
coin_name=CoinNames("Karura", "KAR"),
params={
"addr_ss58_format": 8,
},
)
# Configuration for Kava
Kava: CoinConf = CoinConf(
coin_name=CoinNames("Kava", "KAVA"),
params={
"addr_hrp": "kava",
},
)
# Configuration for Kusama
Kusama: CoinConf = CoinConf(
coin_name=CoinNames("Kusama", "KSM"),
params={
"addr_ss58_format": 2,
},
)
# Configuration for Litecoin main net
LitecoinMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Litecoin", "LTC"),
params={
"p2pkh_std_net_ver": b"\x30",
"p2pkh_depr_net_ver": _BTC_P2PKH_NET_VER_MN,
"p2sh_std_net_ver": b"\x32",
"p2sh_depr_net_ver": _BTC_P2SH_NET_VER_MN,
"p2wpkh_hrp": "ltc",
"p2wpkh_wit_ver": _BTC_P2WPKH_WIT_VER_MN,
"wif_net_ver": b"\xb0",
},
)
# Configuration for Litecoin test net
LitecoinTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Litecoin TestNet", "LTC"),
params={
"p2pkh_std_net_ver": b"\x6f",
"p2pkh_depr_net_ver": _BTC_P2PKH_NET_VER_TN,
"p2sh_std_net_ver": b"\x3a",
"p2sh_depr_net_ver": _BTC_P2SH_NET_VER_TN,
"p2wpkh_hrp": "tltc",
"p2wpkh_wit_ver": _BTC_P2WPKH_WIT_VER_TN,
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Monero main net
MoneroMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Monero", "XMR"),
params={
"addr_net_ver": b"\x12",
"addr_int_net_ver": b"\x13",
"subaddr_net_ver": b"\x2a",
},
)
# Configuration for Monero stage net
MoneroStageNet: CoinConf = CoinConf(
coin_name=CoinNames("Monero StageNet", "XMR"),
params={
"addr_net_ver": b"\x18",
"addr_int_net_ver": b"\x19",
"subaddr_net_ver": b"\x24",
},
)
# Configuration for Monero test net
MoneroTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Monero TestNet", "XMR"),
params={
"addr_net_ver": b"\x35",
"addr_int_net_ver": b"\x36",
"subaddr_net_ver": b"\x3f",
},
)
# Configuration for Moonbeam
Moonbeam: CoinConf = CoinConf(
coin_name=CoinNames("Moonbeam", "GLMR"),
params={
"addr_ss58_format": 1284,
},
)
# Configuration for Moonriver
Moonriver: CoinConf = CoinConf(
coin_name=CoinNames("Moonriver", "MOVR"),
params={
"addr_ss58_format": 1285,
},
)
# Configuration for Nano
Nano: CoinConf = CoinConf(
coin_name=CoinNames("Nano", "NANO"),
params={
"addr_prefix": "nano_",
},
)
# Configuration for Near Protocol
NearProtocol: CoinConf = CoinConf(
coin_name=CoinNames("Near Protocol", "NEAR"),
params={},
)
# Configuration for Neo
Neo: CoinConf = CoinConf(
coin_name=CoinNames("NEO", "NEO"),
params={
"addr_ver": b"\x17",
},
)
# Configuration for Nine Chronicles Gold
NineChroniclesGold: CoinConf = CoinConf(
coin_name=CoinNames("NineChroniclesGold", "NCG"),
params={},
)
# Configuration for OKEx Chain
OkexChain: CoinConf = CoinConf(
coin_name=CoinNames("OKExChain", "OKT"),
params={
"addr_hrp": "ex",
},
)
# Configuration for Ontology
Ontology: CoinConf = CoinConf(
coin_name=CoinNames("Ontology", "ONT"),
params={
"addr_ver": b"\x17",
},
)
# Configuration for Osmosis
Osmosis: CoinConf = CoinConf(
coin_name=CoinNames("Osmosis", "OSMO"),
params={
"addr_hrp": "osmo",
},
)
# Configuration for Phala
Phala: CoinConf = CoinConf(
coin_name=CoinNames("Phala Network", "PHA"),
params={
"addr_ss58_format": 30,
},
)
# Configuration for Plasm
Plasm: CoinConf = CoinConf(
coin_name=CoinNames("Plasm Network", "PLM"),
params={
"addr_ss58_format": 5,
},
)
# Configuration for Polkadot
Polkadot: CoinConf = CoinConf(
coin_name=CoinNames("Polkadot", "DOT"),
params={
"addr_ss58_format": 0,
},
)
# Configuration for Polygon
Polygon: CoinConf = CoinConf(
coin_name=CoinNames("Polygon", "MATIC"),
params={},
)
# Configuration for Ripple
Ripple: CoinConf = CoinConf(
coin_name=CoinNames("Ripple", "XRP"),
params={
"p2pkh_net_ver": _BTC_P2PKH_NET_VER_MN,
},
)
# Configuration for Secret Network
SecretNetwork: CoinConf = CoinConf(
coin_name=CoinNames("Secret Network", "SCRT"),
params={
"addr_hrp": "secret",
},
)
# Configuration for Solana
Solana: CoinConf = CoinConf(
coin_name=CoinNames("Solana", "SOL"),
params={},
)
# Configuration for Sora
Sora: CoinConf = CoinConf(
coin_name=CoinNames("Sora", "XOR"),
params={
"addr_ss58_format": 69,
},
)
# Configuration for Stafi
Stafi: CoinConf = CoinConf(
coin_name=CoinNames("Stafi", "FIS"),
params={
"addr_ss58_format": 20,
},
)
# Configuration for Stellar
Stellar: CoinConf = CoinConf(
coin_name=CoinNames("Stellar", "XLM"),
params={},
)
# Configuration for Terra
Terra: CoinConf = CoinConf(
coin_name=CoinNames("Terra", "LUNA"),
params={
"addr_hrp": "terra",
},
)
# Configuration for Tezos
Tezos: CoinConf = CoinConf(
coin_name=CoinNames("Tezos", "XTZ"),
params={},
)
# Configuration for Theta
Theta: CoinConf = CoinConf(
coin_name=CoinNames("Theta Network", "THETA"),
params={},
)
# Configuration for Tron
Tron: CoinConf = CoinConf(
coin_name=CoinNames("Tron", "TRX"),
params={
"addr_prefix": b"\x41",
},
)
# Configuration for VeChain
VeChain: CoinConf = CoinConf(
coin_name=CoinNames("VeChain", "VET"),
params={},
)
# Configuration for Verge
Verge: CoinConf = CoinConf(
coin_name=CoinNames("Verge", "XVG"),
params={
"p2pkh_net_ver": b"\x1e",
"wif_net_ver": b"\x9e",
},
)
# Configuration for Zcash main net
ZcashMainNet: CoinConf = CoinConf(
coin_name=CoinNames("Zcash", "ZEC"),
params={
"p2pkh_net_ver": b"\x1c\xb8",
"p2sh_net_ver": b"\x1c\xbd",
"wif_net_ver": _BTC_WIF_NET_VER_MN,
},
)
# Configuration for Zcash test net
ZcashTestNet: CoinConf = CoinConf(
coin_name=CoinNames("Zcash TestNet", "ZEC"),
params={
"p2pkh_net_ver": b"\x1d\x25",
"p2sh_net_ver": b"\x1c\xba",
"wif_net_ver": _BTC_WIF_NET_VER_TN,
},
)
# Configuration for Zilliqa
Zilliqa: CoinConf = CoinConf(
coin_name=CoinNames("Zilliqa", "ZIL"),
params={
"addr_hrp": "zil",
},
)
| 28.01264 | 79 | 0.57829 | 2,173 | 19,945 | 4.988955 | 0.171652 | 0.071396 | 0.140208 | 0.16825 | 0.522553 | 0.33032 | 0.219721 | 0.190019 | 0.161332 | 0.144636 | 0 | 0.019588 | 0.306342 | 19,945 | 711 | 80 | 28.052039 | 0.764004 | 0.177087 | 0 | 0.25947 | 0 | 0 | 0.204306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.003788 | 0 | 0.149621 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33f6ee4df6c705ead005ed79390cb0b327d71e64 | 4,881 | py | Python | test.py | pricingassistant/pa_string_distance | 5280f04262d1c165ad75052b0bb1bd2251963266 | [
"BSD-2-Clause"
] | null | null | null | test.py | pricingassistant/pa_string_distance | 5280f04262d1c165ad75052b0bb1bd2251963266 | [
"BSD-2-Clause"
] | null | null | null | test.py | pricingassistant/pa_string_distance | 5280f04262d1c165ad75052b0bb1bd2251963266 | [
"BSD-2-Clause"
] | null | null | null | from pa_string_distance import pa_string_distance
import timeit
import pytest
def string_compare(s1, s2):
return {
"ratio": 1 - pa_string_distance(s1, s2)
}
def test_string_compare():
# Change this for performance tests
for _ in range(10000):
assert 1 == string_compare("boite de trucs", "boite de trucs")["ratio"]
# repeats
assert 1 == string_compare("boite de trucs trucs", "boite de trucs")["ratio"]
assert 1 == string_compare("boite de trucs trucs", "boite de trucs boite")["ratio"]
# punctuation
assert 1 == string_compare("boite de trucs trucs.", " Boite de trucs boite, boite!")["ratio"]
assert 1 == string_compare("Finish line", "Finish-line")["ratio"]
partial_match = string_compare("super boite de trucs", "boite de trucs")["ratio"]
assert partial_match < 1
partial_double_match = string_compare("super boite de trucs", "mega boite de trucs")["ratio"]
assert partial_double_match < partial_match
partial_double_match_larger = string_compare("vraiment super boite de trucs", "mega boite de trucs")["ratio"]
partial_double_match_larger < partial_double_match
mismatch = string_compare("vraiment super", "mega bien")["ratio"]
assert mismatch < partial_double_match_larger
assert mismatch < 0.1
zero = string_compare("e", "a")["ratio"]
assert zero == 0
# empty strings
assert 0 == string_compare("", "")["ratio"]
assert 0 == string_compare(" ", "")["ratio"]
assert 0 == string_compare(", ", "")["ratio"]
assert 0 == string_compare(", ", " ")["ratio"]
assert 0 == string_compare(" ", " ")["ratio"]
assert 0 == string_compare(",", " ")["ratio"]
assert 0 == string_compare(" , ", " , ,,,")["ratio"]
assert 0 == string_compare("", "a")["ratio"]
assert 0 == string_compare(",", "a")["ratio"]
assert 0 == string_compare(", ", "a, ")["ratio"]
assert 0 == string_compare(" ", "R22")["ratio"]
# Numerical mis-spellings are not allowed
assert 0 == string_compare("R19", "R20")["ratio"]
assert 0 == string_compare("405L", "406L")["ratio"]
assert 0 == string_compare("Peugeot", "R22")["ratio"]
assert 0 == string_compare("Citroen", "R22")["ratio"]
assert 0 == string_compare("PeugeotCitroen", "R22")["ratio"]
# Really different strings shouldn't match at all either
assert 0.01 > string_compare("renault", "peugeot")["ratio"]
assert 0 == string_compare("Cabriolet", "R")["ratio"]
# Somewhat close strings
assert 0 < string_compare("peugot", "peugeot")["ratio"] < string_compare("xxxxxxxpeugot", "xxxxxxxpeugeot")["ratio"]
# Grouping
assert 0 < string_compare("PG 38", "PG38")["ratio"]
assert string_compare("PG 38", "PG38")["ratio"] > string_compare("PG 38", "PG 39")["ratio"]
assert 0 < string_compare("PG38", "PG-38")["ratio"]
assert string_compare("PG38", "PG-38")["ratio"] > string_compare("PG38", "PG38 Other")["ratio"]
assert 0 < string_compare("PG-38", "PG38 Other")["ratio"]
assert string_compare("PG-38", "PG38 Other")["ratio"] < string_compare("PG38", "PG38 Other")["ratio"]
assert 0 < string_compare("R20 Cabriolet", "R-20")["ratio"]
assert string_compare("R20 Cabriolet", "R-20")["ratio"] < string_compare("R20 Cabriolet", "R20")["ratio"]
assert 0 < string_compare("Finish line", "Finishline")["ratio"]
assert 1 > string_compare("Finish line", "Finishline")["ratio"]
assert string_compare("Finish line", "Finishline")["ratio"] > string_compare("Line Finish", "Finishline")["ratio"]
assert string_compare("Finish line", "Finishline")["ratio"] > string_compare("Finish Leopard", "Finishline")["ratio"]
# Also work by 3
assert string_compare("Finish line leftover", "FinishlineLeftover")["ratio"] > string_compare("Finish Leopard Leftover", "FinishlineLeftover")["ratio"]
assert string_compare("Finish line leftover", "FinishlineLeftover")["ratio"] > 0.8
# Close string to an existing pair is preferred
assert string_compare("words word", "words")["ratio"] > string_compare("words wxyz", "words")["ratio"]
# Repeats increase the matching score
assert string_compare("one one one one one two three four", "one two three")["ratio"] > string_compare("one two three four", "one two three")["ratio"]
assert string_compare("one one one one one two three four", "one one two three")["ratio"] > string_compare("one one one one one two three four", "one two three")["ratio"]
# Special characters
assert string_compare(u"K\xe4rcher", "KARCHER")["ratio"] > 0.95
assert string_compare(u'Thing \xd8 4,60 - 1,20m', u'Thing 4.60 , 1.20m')["ratio"] == 1
assert string_compare(u'G\xd8rdon', u'Gordon')["ratio"] == 1
# If exactly 20% of the string matches, score should be ~= 0.2
assert 0.15 < string_compare("one two thr fou fiv", "one six sev eig ten")["ratio"] < 0.25
| 45.194444 | 174 | 0.659291 | 638 | 4,881 | 4.904389 | 0.219436 | 0.261745 | 0.095558 | 0.147012 | 0.580377 | 0.537232 | 0.477469 | 0.345158 | 0.2969 | 0.272611 | 0 | 0.035829 | 0.170867 | 4,881 | 107 | 175 | 45.616822 | 0.737336 | 0.076009 | 0 | 0.092308 | 0 | 0 | 0.332963 | 0 | 0 | 0 | 0 | 0 | 0.769231 | 1 | 0.030769 | false | 0 | 0.046154 | 0.015385 | 0.092308 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33f8626c82c065913e8ff0908529d0fa7ef64fc7 | 74 | py | Python | moai/checkpoint/lightning/__init__.py | tzole1155/moai | d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180 | [
"Apache-2.0"
] | 10 | 2021-04-02T11:21:33.000Z | 2022-01-18T18:32:32.000Z | moai/checkpoint/lightning/__init__.py | tzole1155/moai | d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180 | [
"Apache-2.0"
] | 1 | 2022-03-22T20:10:55.000Z | 2022-03-24T13:11:02.000Z | moai/checkpoint/lightning/__init__.py | tzole1155/moai | d1afb3aaf8ddcd7a1c98b84d6365afb846ae3180 | [
"Apache-2.0"
] | 3 | 2021-05-16T20:47:40.000Z | 2021-12-01T21:15:36.000Z | from moai.checkpoint.lightning.noop import NoOp
__all__ = [
"NoOp",
] | 14.8 | 47 | 0.702703 | 9 | 74 | 5.333333 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175676 | 74 | 5 | 48 | 14.8 | 0.786885 | 0 | 0 | 0 | 0 | 0 | 0.053333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
33f9dcd34964853bfb274f2070abf8f23180c714 | 805 | py | Python | services/web/apps/inv/platform/views.py | xUndero/noc | 9fb34627721149fcf7064860bd63887e38849131 | [
"BSD-3-Clause"
] | 1 | 2019-09-20T09:36:48.000Z | 2019-09-20T09:36:48.000Z | services/web/apps/inv/platform/views.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | services/web/apps/inv/platform/views.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# inv.platform application
# ----------------------------------------------------------------------
# Copyright (C) 2007-2018 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# NOC modules
from noc.lib.app.extdocapplication import ExtDocApplication
from noc.inv.models.platform import Platform
from noc.core.translation import ugettext as _
class PlatformApplication(ExtDocApplication):
"""
Platform application
"""
title = "Platform"
menu = [_("Setup"), _("Platforms")]
model = Platform
query_fields = ["full_name__icontains", "name__icontains", "description__icontains"]
default_ordering = ["full_name"]
| 32.2 | 88 | 0.525466 | 65 | 805 | 6.307692 | 0.661538 | 0.05122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012821 | 0.12795 | 805 | 24 | 89 | 33.541667 | 0.571225 | 0.443478 | 0 | 0 | 0 | 0 | 0.207059 | 0.051765 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
33fc62ad8280532584220ab078e7a0c1feb615dd | 789 | py | Python | learn_flask/app.py | Carsten-Leue/learn-flask | 06682f1e46a09df991b8ccaa0273f82ae8c9bf25 | [
"MIT"
] | null | null | null | learn_flask/app.py | Carsten-Leue/learn-flask | 06682f1e46a09df991b8ccaa0273f82ae8c9bf25 | [
"MIT"
] | null | null | null | learn_flask/app.py | Carsten-Leue/learn-flask | 06682f1e46a09df991b8ccaa0273f82ae8c9bf25 | [
"MIT"
] | null | null | null | from typing import Callable
from flask import Flask, jsonify, request
from .encoder import CustomJSONEncoder
from .models import DeviceAttributes
from .iplink import IpLink
from .controllers import show_devices, show_device
from logging import Logger
def create_app(fct: Callable[[Logger], IpLink]):
app = Flask(__name__)
app.json_encoder = CustomJSONEncoder
iplink = fct(app.logger)
@app.route('/')
def app_show_devices():
return jsonify(show_devices(iplink))
@app.route('/<string:name>')
def app_show_device(name: str):
return jsonify(show_device(iplink, name))
@app.route('/<string:name>', methods=['POST'])
def app_add_device(name: str):
print(request)
return jsonify(show_device(iplink, name))
return app
| 26.3 | 50 | 0.707224 | 100 | 789 | 5.41 | 0.32 | 0.073937 | 0.09427 | 0.066543 | 0.121996 | 0.121996 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185044 | 789 | 29 | 51 | 27.206897 | 0.841369 | 0 | 0 | 0.090909 | 0 | 0 | 0.041825 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.318182 | 0.090909 | 0.681818 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
d5088ca8c6cd2bd1a847fb2a1be8c947f8c30989 | 515 | py | Python | vault.py | mirtec001/vault | f6f3846e12c88050e6be74fca55631eed4cfb135 | [
"MIT"
] | null | null | null | vault.py | mirtec001/vault | f6f3846e12c88050e6be74fca55631eed4cfb135 | [
"MIT"
] | null | null | null | vault.py | mirtec001/vault | f6f3846e12c88050e6be74fca55631eed4cfb135 | [
"MIT"
] | null | null | null | from lock import Lock
from menu import Menu
def main():
is_locked = True
quit = False
while not quit:
if is_locked:
is_locked = Lock().unlock()
else:
Menu().main_menu()
menu_navigator = int(input(">> "))
if menu_navigator == 1:
Menu().view_vault()
if menu_navigator == 2:
Menu().add_item()
if menu_navigator == 4:
quit = True
if __name__ == "__main__":
main() | 22.391304 | 46 | 0.491262 | 57 | 515 | 4.122807 | 0.473684 | 0.221277 | 0.191489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00974 | 0.401942 | 515 | 23 | 47 | 22.391304 | 0.753247 | 0 | 0 | 0 | 0 | 0 | 0.021318 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d516259b8b6e2523d6837185ae9193ce8a02854c | 3,474 | py | Python | module1-introduction-to-sql/rpg_db_notes.py | John-G-Thomas/DS-Unit-3-Sprint-2-SQL-and-Databases | 63996452fa705f1f032a94e4809bf5a7a692df2a | [
"MIT"
] | null | null | null | module1-introduction-to-sql/rpg_db_notes.py | John-G-Thomas/DS-Unit-3-Sprint-2-SQL-and-Databases | 63996452fa705f1f032a94e4809bf5a7a692df2a | [
"MIT"
] | null | null | null | module1-introduction-to-sql/rpg_db_notes.py | John-G-Thomas/DS-Unit-3-Sprint-2-SQL-and-Databases | 63996452fa705f1f032a94e4809bf5a7a692df2a | [
"MIT"
] | null | null | null | import sqlite3
"""
Create a connextion
"""
conn = sqlite3.connect('rpg_db.sqlite3')
"""
Select statement
"""
curs = conn.cursor()
query = 'SELECT * FROM armory_item;'
curs.execute(query)
results = curs.fetchall()
"""
rpg_exmple.py
"""
import sqlite3
def connect_to_db(db_name='rpg_db.sqlite3'):
return sqlite3.connect(db_name)
def execute_query(cursor, query):
cursor.execute(query)
return cursor.fetchall()
GET_CHARACTERS = """
SELECT *
FROM charactercreator_character;
"""
if __name__ == '__main__':
conn = connect_to_db()
curs = conn.cursor()
results = execute_query(curs, GET_CHARACTERS)
print(results)
"""
Query log:
"""
SELECT * FROM charactercreator_character;
SELECT COUNT(*) FROM charactercreator_character;
SELECT COUNT(DISTINCT name) FROM charactercreator_character;
"""
Selecting columns:
"""
SELECT character_id, name FROM charactercreator_character;
"""
Limiting rows:
"""
SELECT character_id, name FROM charactercreator_character LIMIT 10;
"""
Filtering rows with confitions:
"""
SELECT character_id, name
FROM charactercreator_character
WHERE character_id > 50;
SELECT character_id, name
FROM charactercreator_character
WHERE character_id > 50
AND character_id < 55;
"""
Equivalent:
"""
SELECT character_id, name
FROM charactercreator_character
WHERE character_id BETWEEN 51 AND 54;
General theme - often more than one way to do it!
"""
Let's figure out what the duplicate character names are
"""
SELECT name, COUNT(*)
FROM charactercreator_character
GROUP BY name;
"""
Our first business query!
"""
"""
Let's figure out what the duplicate character names are
SELECT - how we choose which columns to get
WHERE - how we set conditions on the rows to be returned
LIMIT - when we only want a certain number of rows
ORDER - when we want to sort the output
JOIN - when we need data from multiple tables combined
"""
"""
A first join
"""
SELECT * FROM charactercreator_character
INNER JOIN charactercreator_fighter
ON character_id = character_ptr_id
WHERE character_id = 1;
"""
Non-inner joins introduce missing values!
"""
SELECT character_id, name, rage FROM charactercreator_character
LEFT JOIN charactercreator_fighter
ON character_id = character_ptr_id;
"""
Explicit inner join:
"""
SELECT character_id, name, rage FROM charactercreator_character
INNER JOIN charactercreator_fighter
ON character_id = character_ptr_id
WHERE character_id BETWEEN 40 and 50;
"""
Equivalent implicit join:
"""
SELECT character_id, name, rage
FROM charactercreator_character, charactercreator_fighter
WHERE character_id = character_ptr_id
AND character_id BETWEEN 40 and 50;
"""
Queries result in tables that can be queried! (Silly example but can be
useful)
"""
SELECT * FROM
(SELECT * FROM charactercreator_character);
"""
Sometimes you need to join >2 tables...
This is where I particularly like implicit joins
"""
SELECT cc.character_id, cc.name, ai.item_id, ai.name
FROM charactercreator_character AS cc,
armory_item AS ai,
charactercreator_character_inventory AS cci
WHERE cc.character_id = cci.character_id
AND ai.item_id = cci.item_id;
"""
Use a subquery to make a temp table to query from
"""
SELECT character_id, COUNT(DISTINCT item_id) FROM
(SELECT cc.character_id, cc.name AS character_name, ai.item_id, ai.name AS
item_name
FROM charactercreator_character AS cc,
armory_item AS ai,
charactercreator_character_inventory AS cci
WHERE cc.character_id = cci.character_id
AND ai.item_id = cci.item_id)
GROUP BY 1 ORDER BY 2 DESC; | 24.814286 | 74 | 0.776626 | 497 | 3,474 | 5.243461 | 0.289738 | 0.109747 | 0.189179 | 0.101305 | 0.504605 | 0.464313 | 0.419417 | 0.381044 | 0.360322 | 0.306216 | 0 | 0.010037 | 0.139609 | 3,474 | 140 | 75 | 24.814286 | 0.861827 | 0 | 0 | 0.347222 | 0 | 0 | 0.045146 | 0.010787 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.027778 | null | null | 0.013889 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1d28ba4a4b641d471bfe7b5b208be215c1c5af29 | 1,157 | py | Python | domains/views.py | kevchentw/foxdomain | 51f32fdfc37204ae2c6cb84460b0c3ceb7a05a60 | [
"MIT"
] | null | null | null | domains/views.py | kevchentw/foxdomain | 51f32fdfc37204ae2c6cb84460b0c3ceb7a05a60 | [
"MIT"
] | null | null | null | domains/views.py | kevchentw/foxdomain | 51f32fdfc37204ae2c6cb84460b0c3ceb7a05a60 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from rest_framework import generics
from rest_framework.permissions import IsAdminUser
from rest_framework.permissions import IsAuthenticated
from rest_framework.permissions import AllowAny
from .permissions import IsOwner
from .permissions import IsAdminOrReadOnly
from .serializers import DomainSerializer
from .models import Domain
from .serializers import SubDomainSerializer
from .models import SubDomain
class DomainList(generics.ListAPIView):
"""
A view to list all domain.
Permission: Public
"""
queryset = Domain.objects.all()
serializer_class = DomainSerializer
permission_classes = (AllowAny,)
class DomainCreate(generics.CreateAPIView):
"""
A view to create domain.
Permission: Admin
"""
queryset = Domain.objects.all()
serializer_class = DomainSerializer
permission_classes = (IsAdminUser,)
class SubDomainCreate(generics.CreateAPIView):
"""
A view to create subdomain.
Permission: Authenticated User
"""
queryset = SubDomain.objects.all()
serializer_class = SubDomainSerializer
permission_classes = (IsAuthenticated,)
| 28.219512 | 54 | 0.765774 | 117 | 1,157 | 7.487179 | 0.350427 | 0.097032 | 0.077626 | 0.09589 | 0.358447 | 0.242009 | 0.164384 | 0.164384 | 0.164384 | 0 | 0 | 0 | 0.168539 | 1,157 | 40 | 55 | 28.925 | 0.910603 | 0.127053 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.478261 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
1d28d2bb2dc04a5c6f8fbb4449cf8b17f3da9a85 | 748 | py | Python | py_hcl/dsl/branch.py | zhongzc/py-hcl | 5a2be0208f915377a1dae12509f1af016df6412b | [
"MIT"
] | null | null | null | py_hcl/dsl/branch.py | zhongzc/py-hcl | 5a2be0208f915377a1dae12509f1af016df6412b | [
"MIT"
] | null | null | null | py_hcl/dsl/branch.py | zhongzc/py-hcl | 5a2be0208f915377a1dae12509f1af016df6412b | [
"MIT"
] | null | null | null | import py_hcl.core.stmt.branch as cb
from py_hcl.core.expr import HclExpr
class when(object):
def __init__(self, cond_expr: HclExpr):
self.cond_expr = cond_expr
def __enter__(self):
cb.do_when_enter(self.cond_expr)
def __exit__(self, exc_type, exc_val, exc_tb):
cb.do_when_exit()
class else_when(object):
def __init__(self, cond_expr: HclExpr):
self.cond_expr = cond_expr
def __enter__(self):
cb.do_else_when_enter(self.cond_expr)
def __exit__(self, exc_type, exc_val, exc_tb):
cb.do_else_when_exit()
class otherwise(object):
def __enter__(self):
cb.do_otherwise_enter()
def __exit__(self, exc_type, exc_val, exc_tb):
cb.do_otherwise_exit()
| 22.666667 | 50 | 0.683155 | 115 | 748 | 3.869565 | 0.234783 | 0.14382 | 0.161798 | 0.094382 | 0.676404 | 0.640449 | 0.640449 | 0.640449 | 0.640449 | 0.640449 | 0 | 0 | 0.216578 | 748 | 32 | 51 | 23.375 | 0.759386 | 0 | 0 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.380952 | false | 0 | 0.095238 | 0 | 0.619048 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1d29017f4511910f0174405b87a2a8e0e9617ca9 | 2,054 | py | Python | app/project/routes.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/routes.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | app/project/routes.py | caulagi/shakuni | f027810bc72b55da302d6672cd64fdf7c92f1661 | [
"MIT"
] | null | null | null | """
project.routes
Bind the api's to the endpoints
"""
from flask.ext.restful import Api
from flask import render_template, g
import urllib, hashlib
# Set your variables here
#from users.api import *
def routes_init(application):
@application.errorhandler(404)
def page_not_found(e):
return render_template('404.html'), 404
@application.errorhandler(401)
def unauthorized(e):
return render_template('401.html'), 401
@application.errorhandler(403)
def forbidden(e):
return render_template('403.html', error=e.description), 403
@application.errorhandler(500)
def forbidden(e):
return render_template('500.html'), 500
@application.route("/")
def index():
if g.user:
size = 120
gravatar_url = "http://www.gravatar.com/avatar/" + hashlib.md5(g.user.email.lower()).hexdigest() + "?"
gravatar_url += urllib.urlencode({'d': 'retro', 's':str(size)})
g.user.gravatar_url = gravatar_url
return render_template("index.html", user=g.user)
@application.route("/about")
def about():
return render_template("about.html")
@application.route("/faq")
def faq():
return render_template("faq.html")
import app.users.controllers as users_controller
users_controller.init(application)
application.register_blueprint(users_controller.users_blueprint, url_prefix="/users")
import app.groups.controllers as groups_controller
groups_controller.init(application)
application.register_blueprint(groups_controller.groups_blueprint, url_prefix="/groups")
import app.matches.controllers as matches_controller
matches_controller.init(application)
application.register_blueprint(matches_controller.matches_blueprint, url_prefix="/matches")
import app.bets.controllers as bets_controller
bets_controller.init(application)
application.register_blueprint(bets_controller.bets_blueprint, url_prefix="/bets")
api = Api(application)
return api
| 31.121212 | 114 | 0.704479 | 244 | 2,054 | 5.770492 | 0.29918 | 0.079545 | 0.099432 | 0.059659 | 0.197443 | 0.197443 | 0 | 0 | 0 | 0 | 0 | 0.023838 | 0.183057 | 2,054 | 65 | 115 | 31.6 | 0.815256 | 0.046251 | 0 | 0.045455 | 0 | 0 | 0.069744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.159091 | 0.136364 | 0.522727 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
1d2c8cfdfba0fe6e68b2b9783c5f048e8690aa72 | 2,730 | py | Python | proj03_guessing_game/proj03.py | miashi201/VsaProj1 | 851383b773cf1b2e356c5c7de7165c68b4a3cb2a | [
"MIT"
] | null | null | null | proj03_guessing_game/proj03.py | miashi201/VsaProj1 | 851383b773cf1b2e356c5c7de7165c68b4a3cb2a | [
"MIT"
] | null | null | null | proj03_guessing_game/proj03.py | miashi201/VsaProj1 | 851383b773cf1b2e356c5c7de7165c68b4a3cb2a | [
"MIT"
] | null | null | null | # Name: Elizabeth Sims and Mia shines
# Date: 7/10/18
import random
"""
proj 03: Guessing Game
Generate a random number between 1 and 9 (including 1 and 9).
Ask the user to guess the number, then tell them whether they guessed too low, too high,
or exactly right. Keep the game going until the user types exit.
Keep track of how many guesses the user has taken, and when the game ends, print this out.
"""
#define variables
first_loop = True
points = 0
#loop
while first_loop == True:
second_loop = True
random_number = random.randint(1, 9)
guess_number = 0
print "I'm thinking of a number between 1 and 9. Can you guess my number?"
max_guesses = int(raw_input("How many guesses do you want? "))
while second_loop == True:
if guess_number == max_guesses:
print "You are out of guesses! The number was " + str(random_number) + "."
second_loop = False
print "You have " + str(points) + " points."
play_again = raw_input("Would you like to play again? (y/n)")
if play_again == "n":
first_loop = False
print "Game ended."
else:
user_input = raw_input("Enter a number, or 'exit' to end the game: ")
try:
int(user_input)
if int(user_input) < 1 or int(user_input) > 9:
print "That is not a number between 1 and 9!"
elif int(user_input) > random_number:
print "Your number is too high!"
guess_number = guess_number + 1
elif int(user_input) < random_number:
print "Your number is too low!"
guess_number = guess_number + 1
elif int(user_input) == random_number:
guess_number = guess_number + 1
print "Congratulations, you guessed my number!", "You used", guess_number, "guesses."
second_loop = False
points = points + 1
if points == 1:
print "You have " + str(points) + " point."
else:
print "You have " + str(points) + " points."
play_again = raw_input("Would you like to play again? (y/n)" )
if play_again == "n":
first_loop = False
print "Game ended."
except ValueError:
if str(user_input) == "exit" or "Exit":
print "Game ended."
first_loop = False
second_loop = False
else:
print "That is not a valid answer!"
| 40.147059 | 105 | 0.532234 | 342 | 2,730 | 4.125731 | 0.315789 | 0.070163 | 0.051028 | 0.036145 | 0.366407 | 0.301914 | 0.274982 | 0.274982 | 0.274982 | 0.274982 | 0 | 0.015569 | 0.388278 | 2,730 | 67 | 106 | 40.746269 | 0.829341 | 0.025275 | 0 | 0.42 | 1 | 0 | 0.219628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.02 | null | null | 0.26 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1d34f74f427a0516ceda729deadc0d3b32821d10 | 635 | py | Python | src/torchphysics/problem/spaces/__init__.py | TomF98/torchphysics | b509385b623516e9475870ab2ca81fef1924dea4 | [
"Apache-2.0"
] | 203 | 2021-11-10T10:33:29.000Z | 2022-03-26T09:05:12.000Z | src/torchphysics/problem/spaces/__init__.py | DKreuter/torchphysics | 775d9aca71752a568f1fca972c958b99107f3b7c | [
"Apache-2.0"
] | 3 | 2022-01-07T19:57:00.000Z | 2022-03-10T08:04:49.000Z | src/torchphysics/problem/spaces/__init__.py | DKreuter/torchphysics | 775d9aca71752a568f1fca972c958b99107f3b7c | [
"Apache-2.0"
] | 16 | 2021-09-30T08:35:37.000Z | 2022-03-16T13:12:22.000Z | """Contains the Spaces and Points classes.
Spaces
It's purpose is to define variable names and dimensions that can
be used in functions, domains, models and more.
Points
The ``Points`` object is a central part of TorchPhysics. They consit of a PyTorch-Tensor
and a space. ``Points`` store data in a tensor with 2-axis, the first corresponding
the batch-dimension in a batch of multiple points.
The second axis collects the space dimensionalities.
"""
from .space import (Space,
R1,
R2,
R3)
from .points import Points
from .functionspace import FunctionSpace | 33.421053 | 90 | 0.688189 | 89 | 635 | 4.910112 | 0.606742 | 0.04119 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008475 | 0.256693 | 635 | 19 | 91 | 33.421053 | 0.917373 | 0.724409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
1d82f23690d8eeb6b0853706af4e58450c3a0838 | 314 | py | Python | client_code/EmailDisplayForm/RowTemplate1/__init__.py | benlawraus/pyDALAnvilWorks | 8edc67b0fbe65bdcc0ef6fd2424f55046cacba7c | [
"MIT"
] | 6 | 2021-11-14T22:49:40.000Z | 2022-03-26T17:40:40.000Z | client_code/EmailDisplayForm/RowTemplate1/__init__.py | benlawraus/pyDALAnvilWorks | 8edc67b0fbe65bdcc0ef6fd2424f55046cacba7c | [
"MIT"
] | null | null | null | client_code/EmailDisplayForm/RowTemplate1/__init__.py | benlawraus/pyDALAnvilWorks | 8edc67b0fbe65bdcc0ef6fd2424f55046cacba7c | [
"MIT"
] | 1 | 2022-01-31T01:18:32.000Z | 2022-01-31T01:18:32.000Z | from ._anvil_designer import RowTemplate1Template
class RowTemplate1(RowTemplate1Template):
def __init__(self, **properties):
# Set Form properties and Data Bindings.
self.init_components(**properties)
# Any code you write here will run when the form opens.
# testing `item`
| 28.545455 | 63 | 0.703822 | 35 | 314 | 6.114286 | 0.828571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012346 | 0.226115 | 314 | 10 | 64 | 31.4 | 0.868313 | 0.340764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
1d9dbf8b000ae0cc7e5e5f481d9ea5dc1e0ff6dd | 446 | py | Python | model_config.py | dimagrshk/opt_flow_attack | 6bfad92abcf3eaae1a6ca05b865be072361636ed | [
"Apache-2.0"
] | null | null | null | model_config.py | dimagrshk/opt_flow_attack | 6bfad92abcf3eaae1a6ca05b865be072361636ed | [
"Apache-2.0"
] | null | null | null | model_config.py | dimagrshk/opt_flow_attack | 6bfad92abcf3eaae1a6ca05b865be072361636ed | [
"Apache-2.0"
] | null | null | null | MODELS = {
"pwc": (
'configs/pwcnet/pwcnet_ft_4x1_300k_sintel_final_384x768.py',
'checkpoints/pwcnet_ft_4x1_300k_sintel_final_384x768.pth'
),
"flownetc": (
'configs/flownet/flownetc_8x1_sfine_sintel_384x448.py',
'checkpoints/flownetc_8x1_sfine_sintel_384x448.pth'
),
"raft": (
"configs/raft/raft_8x2_100k_mixed_368x768.py",
"checkpoints/raft_8x2_100k_mixed_368x768.pth"
)
} | 31.857143 | 69 | 0.683857 | 53 | 446 | 5.226415 | 0.433962 | 0.140794 | 0.079422 | 0.108303 | 0.613718 | 0.238267 | 0.238267 | 0 | 0 | 0 | 0 | 0.169014 | 0.204036 | 446 | 14 | 70 | 31.857143 | 0.611268 | 0 | 0 | 0.142857 | 0 | 0 | 0.702461 | 0.668904 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1da56ac8d085091a240e8d143a5b83886cd54a6f | 1,648 | py | Python | migrations/versions/79a1a8f844e4_added_basic_stich_clone_qc_columns.py | charlestondance/amoslims | c1d051db3e88a92644446744a9027c5699f52b02 | [
"MIT"
] | null | null | null | migrations/versions/79a1a8f844e4_added_basic_stich_clone_qc_columns.py | charlestondance/amoslims | c1d051db3e88a92644446744a9027c5699f52b02 | [
"MIT"
] | 7 | 2020-03-24T15:56:29.000Z | 2022-01-13T00:48:15.000Z | migrations/versions/79a1a8f844e4_added_basic_stich_clone_qc_columns.py | charlestondance/amoslims | c1d051db3e88a92644446744a9027c5699f52b02 | [
"MIT"
] | null | null | null | """added basic stich clone qc columns
Revision ID: 79a1a8f844e4
Revises: e466f84812fa
Create Date: 2017-06-05 17:58:49.231834
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '79a1a8f844e4'
down_revision = 'e466f84812fa'
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.add_column('basic_stitch_clone', sa.Column('stitch_qc1', sa.String(length=64), nullable=True))
op.add_column('basic_stitch_clone', sa.Column('stitch_qc2', sa.String(length=64), nullable=True))
op.add_column('basic_stitch_clone', sa.Column('stitch_qc3', sa.String(length=64), nullable=True))
op.create_index(op.f('ix_basic_stitch_clone_stitch_qc1'), 'basic_stitch_clone', ['stitch_qc1'], unique=False)
op.create_index(op.f('ix_basic_stitch_clone_stitch_qc2'), 'basic_stitch_clone', ['stitch_qc2'], unique=False)
op.create_index(op.f('ix_basic_stitch_clone_stitch_qc3'), 'basic_stitch_clone', ['stitch_qc3'], unique=False)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_basic_stitch_clone_stitch_qc3'), table_name='basic_stitch_clone')
op.drop_index(op.f('ix_basic_stitch_clone_stitch_qc2'), table_name='basic_stitch_clone')
op.drop_index(op.f('ix_basic_stitch_clone_stitch_qc1'), table_name='basic_stitch_clone')
op.drop_column('basic_stitch_clone', 'stitch_qc3')
op.drop_column('basic_stitch_clone', 'stitch_qc2')
op.drop_column('basic_stitch_clone', 'stitch_qc1')
# ### end Alembic commands ###
| 42.25641 | 113 | 0.745752 | 242 | 1,648 | 4.743802 | 0.264463 | 0.172474 | 0.250871 | 0.229965 | 0.719512 | 0.646341 | 0.646341 | 0.511324 | 0.438153 | 0.38676 | 0 | 0.05 | 0.114078 | 1,648 | 38 | 114 | 43.368421 | 0.736301 | 0.191748 | 0 | 0 | 0 | 0 | 0.403089 | 0.148263 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d5262a6fc96421d43f5b56640b4e33f5d4ceae8b | 136 | py | Python | python/cursoemvideo-python/01-mundo-1-e-mundo-2/tabuada v2.0.py | Alex4gtx/estudos | cf5908c543be1b112157b1c95f3d987484ff2505 | [
"MIT"
] | null | null | null | python/cursoemvideo-python/01-mundo-1-e-mundo-2/tabuada v2.0.py | Alex4gtx/estudos | cf5908c543be1b112157b1c95f3d987484ff2505 | [
"MIT"
] | null | null | null | python/cursoemvideo-python/01-mundo-1-e-mundo-2/tabuada v2.0.py | Alex4gtx/estudos | cf5908c543be1b112157b1c95f3d987484ff2505 | [
"MIT"
] | null | null | null | numb = int(input('Digite um numero para ver sua tabuada: '))
for n in range(1, 11):
print('{} x {} = {}'.format(numb, n, numb * n))
| 34 | 60 | 0.580882 | 23 | 136 | 3.434783 | 0.826087 | 0.126582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.205882 | 136 | 3 | 61 | 45.333333 | 0.703704 | 0 | 0 | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d5292b18bbdcde0f2d3c02cfe72a62dd2683938b | 463 | py | Python | src/website/urls.py | ihabhussein/django-template | d2b3d5c04088757f26693bb20ca3dede305459d3 | [
"BSD-2-Clause"
] | null | null | null | src/website/urls.py | ihabhussein/django-template | d2b3d5c04088757f26693bb20ca3dede305459d3 | [
"BSD-2-Clause"
] | null | null | null | src/website/urls.py | ihabhussein/django-template | d2b3d5c04088757f26693bb20ca3dede305459d3 | [
"BSD-2-Clause"
] | null | null | null | from django.conf import settings
from django.urls import path, include
from django.conf.urls.static import static
from django.contrib import admin
from django.views.generic import RedirectView
urlpatterns = [
path('admin/', admin.site.urls),
path('accounts/', include('django.contrib.auth.urls')),
path('/.well-known/change-password', RedirectView.as_view(url='password_change')),
] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
| 30.866667 | 86 | 0.764579 | 62 | 463 | 5.629032 | 0.451613 | 0.143266 | 0.080229 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107991 | 463 | 14 | 87 | 33.071429 | 0.845036 | 0 | 0 | 0 | 0 | 0 | 0.177106 | 0.112311 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.1 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
d53d9151f70f83e0d5f3ba15a3b5ee4df2048e41 | 67 | py | Python | test/scripts/test_sim_run.py | avicennax/magesim-tbc2 | 942e24dd186639f52f15e049239acbc3ab0308d7 | [
"MIT"
] | null | null | null | test/scripts/test_sim_run.py | avicennax/magesim-tbc2 | 942e24dd186639f52f15e049239acbc3ab0308d7 | [
"MIT"
] | null | null | null | test/scripts/test_sim_run.py | avicennax/magesim-tbc2 | 942e24dd186639f52f15e049239acbc3ab0308d7 | [
"MIT"
] | null | null | null | from magesim.simulation import Sim
s = Sim()
s.run()
s.print_log() | 13.4 | 34 | 0.716418 | 12 | 67 | 3.916667 | 0.75 | 0.170213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 67 | 5 | 35 | 13.4 | 0.810345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d555a329d04b99cc54dc6952e18a6842fdcdd3f1 | 1,031 | py | Python | src/urh/ui/actions/InsertBitsAndPauses.py | awesome-archive/urh | c8c3aabc9d637ca660d8c72c3d8372055e0f3ec7 | [
"Apache-2.0"
] | 1 | 2017-06-21T02:37:16.000Z | 2017-06-21T02:37:16.000Z | src/urh/ui/actions/InsertBitsAndPauses.py | dspmandavid/urh | 30643c1a68634b1c97eb9989485a4e96a3b038ae | [
"Apache-2.0"
] | null | null | null | src/urh/ui/actions/InsertBitsAndPauses.py | dspmandavid/urh | 30643c1a68634b1c97eb9989485a4e96a3b038ae | [
"Apache-2.0"
] | null | null | null | import copy
from PyQt5.QtWidgets import QUndoCommand
from urh.signalprocessing.ProtocolAnalyzer import ProtocolAnalyzer
from urh.signalprocessing.ProtocolAnalyzerContainer import ProtocolAnalyzerContainer
class InsertBitsAndPauses(QUndoCommand):
def __init__(self, proto_analyzer_container: ProtocolAnalyzerContainer, index: int, pa: ProtocolAnalyzer):
super().__init__()
self.proto_analyzer_container = proto_analyzer_container
self.proto_analyzer = pa
self.index = index
if self.index == -1 or self.index > len(self.proto_analyzer_container.messages):
self.index = len(self.proto_analyzer_container.messages)
self.setText("Insert Bits at index {0:d}".format(self.index))
self.orig_messages = copy.deepcopy(self.proto_analyzer_container.messages)
def redo(self):
self.proto_analyzer_container.insert_protocol_analyzer(self.index, self.proto_analyzer)
def undo(self):
self.proto_analyzer_container.messages = self.orig_messages
| 39.653846 | 110 | 0.761397 | 117 | 1,031 | 6.452991 | 0.333333 | 0.172185 | 0.202649 | 0.24106 | 0.34702 | 0.177483 | 0.127152 | 0.127152 | 0.127152 | 0 | 0 | 0.003464 | 0.160039 | 1,031 | 25 | 111 | 41.24 | 0.86836 | 0 | 0 | 0 | 0 | 0 | 0.025218 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d5585c7c9ec82a5d812b1ae0ecf788ae2d023b15 | 14,963 | py | Python | CodeGenerator/Generators/EntityGenerator.py | Cooolrik/ISD | c06afd5a2f4e7d2fe21ba3c77e60595c1bd24ade | [
"MIT"
] | null | null | null | CodeGenerator/Generators/EntityGenerator.py | Cooolrik/ISD | c06afd5a2f4e7d2fe21ba3c77e60595c1bd24ade | [
"MIT"
] | null | null | null | CodeGenerator/Generators/EntityGenerator.py | Cooolrik/ISD | c06afd5a2f4e7d2fe21ba3c77e60595c1bd24ade | [
"MIT"
] | null | null | null | # ISD Copyright (c) 2021 Ulrik Lindahl
# Licensed under the MIT license
# https://github.com/Cooolrik/ISD/blob/main/LICENSE
import CodeGeneratorHelpers as hlp
import Entities as ents
def CreateEntityHeader(entity):
lines = []
lines.append('// ISD Copyright (c) 2021 Ulrik Lindahl')
lines.append('// Licensed under the MIT license https://github.com/Cooolrik/ISD/blob/main/LICENSE')
lines.append('')
lines.append('#pragma once')
lines.append('')
lines.append('#include "ISD_Types.h"')
# list dependences that needs to be included in the header
for dep in entity.Dependencies:
if dep.IncludeInHeader:
lines.append(f'#include "ISD_{dep.Name}.h"')
lines.append('')
lines.append('namespace ISD')
lines.append(' {')
# list dependences that only needs a forward reference in the header
for dep in entity.Dependencies:
if not dep.IncludeInHeader:
lines.append(f' class {dep.Name};')
lines.append(f' class {entity.Name}')
lines.append(' {')
lines.append(' public:')
# list typedefs of templates
if len(entity.Templates) > 0:
for typ in entity.Templates:
lines.append(typ.Declaration)
lines.append('')
lines.append(' class MF;')
lines.append(' friend MF;')
lines.append('')
lines.append(f' {entity.Name}() = default;')
lines.append(f' {entity.Name}( const {entity.Name} &rval );')
lines.append(f' {entity.Name} &operator=( const {entity.Name} &rval );')
lines.append(f' {entity.Name}( {entity.Name} &&rval ) = default;')
lines.append(f' {entity.Name} &operator=( {entity.Name} &&rval ) = default;')
lines.append(f' ~{entity.Name}() = default;')
lines.append('')
lines.append(' // value compare operators')
lines.append(f' bool operator==( const {entity.Name} &rval ) const;')
lines.append(f' bool operator!=( const {entity.Name} &rval ) const;')
lines.append('')
lines.append(' protected:')
# list variables in entity
for var in entity.Variables:
if var.IsSimpleBaseType:
lines.append(f' {var.TypeString} v_{var.Name} = {{}};')
else:
lines.append(f' {var.TypeString} v_{var.Name};')
lines.append('')
lines.append(' public:')
# create accessor ref for variables, const and non-const versions
for var in entity.Variables:
lines.append(f' // accessor for referencing variable {var.Name}')
lines.append(f' const {var.TypeString} & {var.Name}() const {{ return this->v_{var.Name}; }}')
lines.append(f' {var.TypeString} & {var.Name}() {{ return this->v_{var.Name}; }}')
lines.append('')
lines.append(' };')
lines.append('')
lines.append(' class EntityWriter;')
lines.append(' class EntityReader;')
lines.append(' class EntityValidator;')
lines.append('')
lines.append(f' class {entity.Name}::MF')
lines.append(' {')
lines.append(' public:')
lines.append(f' static void Clear( {entity.Name} &obj );')
lines.append(f' static void DeepCopy( {entity.Name} &dest, const {entity.Name} *source );')
lines.append(f' static bool Equals( const {entity.Name} *lvar, const {entity.Name} *rvar );')
lines.append('')
lines.append(f' static bool Write( const {entity.Name} &obj, EntityWriter &writer );')
lines.append(f' static bool Read( {entity.Name} &obj, EntityReader &reader );')
lines.append('')
lines.append(f' static bool Validate( const {entity.Name} &obj, EntityValidator &validator );')
lines.append(' };')
lines.append('')
# ctors and copy operator code
lines.append(f' inline {entity.Name}::{entity.Name}( const {entity.Name} &rval )')
lines.append(' {')
lines.append(' MF::DeepCopy( *this , &rval );')
lines.append(' }')
lines.append('')
lines.append(f' inline {entity.Name} &{entity.Name}::operator=( const {entity.Name} &rval )')
lines.append(' {')
lines.append(' MF::DeepCopy( *this , &rval );')
lines.append(' return *this;')
lines.append(' }')
lines.append('')
lines.append(f' inline bool {entity.Name}::operator==( const {entity.Name} &rval ) const')
lines.append(' {')
lines.append(' return MF::Equals( this, &rval );')
lines.append(' }')
lines.append('')
lines.append(f' inline bool {entity.Name}::operator!=( const {entity.Name} &rval ) const')
lines.append(' {')
lines.append(' return !(MF::Equals( this, &rval ));')
lines.append(' }')
lines.append('')
lines.append(' };')
hlp.write_lines_to_file(f"../ISD/ISD_{entity.Name}.h",lines)
def ImplementClearCall(entity,var):
lines = []
lines.append('')
lines.append(f' // clear variable "{var.Name}"')
# clear all values, base values and Entities
base_type,base_variant = hlp.get_base_type_variant(var.Type)
if base_type is not None:
# we have a base type, add the write code directly
if var.Optional:
lines.append(f' obj.v_{var.Name}.reset();')
else:
lines.append(f' obj.v_{var.Name} = {{}};')
else:
lines.append(f' {var.Type}::MF::Clear( obj.v_{var.Name} );')
return lines
def ImplementDeepCopyCall(entity,var):
lines = []
lines.append('')
lines.append(f' // copy variable "{var.Name}"')
# clear all base values, Entities will clear themselves
# deep copy all values
if var.IsBaseType:
# we have a base type, add the copy code directly
lines.append(f' dest.v_{var.Name} = source->v_{var.Name};')
else:
# this is an entity type
if var.Optional:
lines.append(f' if( source->v_{var.Name}.has_value() )')
lines.append(' {')
lines.append(f' dest.v_{var.Name}.set();')
lines.append(f' {var.Type}::MF::DeepCopy( dest.v_{var.Name}.value() , &(source->v_{var.Name}.value()) );')
lines.append(' }')
lines.append(f' else')
lines.append(' {')
lines.append(f' dest.v_{var.Name}.reset();')
lines.append(' }')
else:
lines.append(f' {var.Type}::MF::DeepCopy( dest.v_{var.Name} , &(source->v_{var.Name}) );')
return lines
def ImplementEqualsCall(entity,var):
lines = []
lines.append(f' // check variable "{var.Name}"')
# do we have a base type or entity?
if var.IsBaseType:
# we have a base type, do the compare directly
lines.append(f' if( lvar->v_{var.Name} != rvar->v_{var.Name} )')
lines.append(f' return false;')
else:
# not a base type, so an entity. check entity
if var.Optional:
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Equals(')
lines.append(f' lvar->v_{var.Name}.has_value() ? &lvar->v_{var.Name}.value() : nullptr, ')
lines.append(f' rvar->v_{var.Name}.has_value() ? &rvar->v_{var.Name}.value() : nullptr')
lines.append(f' ) )')
lines.append(' return false;')
else:
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Equals( &lvar->v_{var.Name} , &rvar->v_{var.Name} ) )')
lines.append(' return false;')
lines.append('')
return lines
def ImplementWriterCall(entity,var):
lines = []
# do we have a base type or entity?
if var.IsBaseType:
# we have a base type, add the write code directly
lines.append(f' // write variable "{var.Name}"')
lines.append(f' success = writer.Write<{var.TypeString}>( ISDKeyMacro("{var.Name}") , obj.v_{var.Name} );')
lines.append(f' if( !success )')
lines.append(f' return false;')
lines.append('')
else:
# not a base type, so an entity. add a block
lines.append(f' // write section "{var.Name}"')
lines.append(f' success = (section_writer = writer.BeginWriteSection( ISDKeyMacro("{var.Name}") ));')
lines.append(' if( !success )')
lines.append(' return false;')
if var.Optional:
lines.append(f' if( obj.v_{var.Name}.has_value() )')
lines.append(' {')
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Write( obj.v_{var.Name}.value(), *section_writer ) )')
lines.append(' return false;')
lines.append(' }')
else:
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Write( obj.v_{var.Name}, *section_writer ) )')
lines.append(' return false;')
lines.append(' writer.EndWriteSection( section_writer );')
lines.append(' section_writer = nullptr;')
lines.append('')
return lines
def ImplementReaderCall(entity,var):
lines = []
if var.Optional:
value_can_be_null = "true"
else:
value_can_be_null = "false"
# do we have a base type or entity?
if var.IsBaseType:
# we have a base type, add the read code directly
lines.append(f' // read variable "{var.Name}"')
lines.append(f' success = reader.Read<{var.TypeString}>( ISDKeyMacro("{var.Name}") , obj.v_{var.Name} );')
lines.append(f' if( !success )')
lines.append(f' return false;')
lines.append('')
else:
# not a base type, so an entity. add a block
lines.append(f' // read section "{var.Name}"')
lines.append(f' std::tie(section_reader,success) = reader.BeginReadSection( ISDKeyMacro("{var.Name}") , {value_can_be_null} );')
lines.append(' if( !success )')
lines.append(' return false;')
lines.append(' if( section_reader )')
lines.append(' {')
if var.Optional:
lines.append(f' obj.v_{var.Name}.set();')
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Read( obj.v_{var.Name}.value(), *section_reader ) )')
else:
lines.append(f' if( !{entity.Name}::{var.Type}::MF::Read( obj.v_{var.Name}, *section_reader ) )')
lines.append(' return false;')
lines.append(' reader.EndReadSection( section_reader );')
lines.append(' section_reader = nullptr;')
lines.append(' }')
if var.Optional:
lines.append(' else')
lines.append(f' obj.v_{var.Name}.reset();')
lines.append('')
return lines
def ImplementValidatorCall(entity,var):
lines = []
# clear all values, base values and Entities
base_type,base_variant = hlp.get_base_type_variant(var.Type)
if base_type is None:
lines.append(f' // validate variable "{var.Name}"')
if var.Optional:
lines.append(f' if( obj.v_{var.Name}.has_value() )')
lines.append(' {')
lines.append(f' success = {var.Type}::MF::Validate( obj.v_{var.Name}.value() , validator );')
lines.append(' if( !success )')
lines.append(' return false;')
lines.append(' }')
else:
lines.append(f' success = {var.Type}::MF::Validate( obj.v_{var.Name} , validator );')
lines.append(' if( !success )')
lines.append(' return false;')
lines.append('')
return lines
def CreateEntitySource(entity):
lines = []
lines.append('// ISD Copyright (c) 2021 Ulrik Lindahl')
lines.append('// Licensed under the MIT license https://github.com/Cooolrik/ISD/blob/main/LICENSE')
lines.append('')
lines.append(f'#include "ISD_Types.h"')
lines.append(f'#include "ISD_EntityWriter.h"')
lines.append(f'#include "ISD_EntityReader.h"')
lines.append(f'#include "ISD_EntityValidator.h"')
lines.append('')
lines.append(f'#include "ISD_{entity.Name}.h"')
# include dependences that were forward referenced in the header
for dep in entity.Dependencies:
if not dep.IncludeInHeader:
lines.append(f'#include "ISD_{dep.Name}.h"')
lines.append('')
lines.append('namespace ISD')
lines.append(' {')
# check if there are entities in the variable list
vars_have_entity = False
for var in entity.Variables:
base_type,base_variant = hlp.get_base_type_variant(var.Type)
if base_type is None:
vars_have_entity = True
break
# clear code
lines.append(f' void {entity.Name}::MF::Clear( {entity.Name} &obj )')
lines.append(' {')
lines.append(' // direct clear calls on variables and Entities')
for var in entity.Variables:
lines.extend(ImplementClearCall(entity,var))
lines.append(' }')
lines.append('')
# deep copy code
lines.append(f' void {entity.Name}::MF::DeepCopy( {entity.Name} &dest, const {entity.Name} *source )')
lines.append(' {')
lines.append(' // just call Clear if source is nullptr')
lines.append(' if( !source )')
lines.append(' {')
lines.append(' MF::Clear( dest );')
lines.append(' return;')
lines.append(' }')
for var in entity.Variables:
lines.extend(ImplementDeepCopyCall(entity,var))
lines.append(' }')
lines.append('')
# equals code
lines.append(f' bool {entity.Name}::MF::Equals( const {entity.Name} *lvar, const {entity.Name} *rvar )')
lines.append(' {')
lines.append(' // early out if pointers are equal')
lines.append(' if( lvar == rvar )')
lines.append(' return true;')
lines.append('')
lines.append(' // early out if one of the pointers is nullptr')
lines.append(' if( !lvar || !rvar )')
lines.append(' return false;')
lines.append('')
for var in entity.Variables:
lines.extend(ImplementEqualsCall(entity,var))
lines.append(' return true;')
lines.append(' }')
lines.append('')
# writer code
lines.append(f' bool {entity.Name}::MF::Write( const {entity.Name} &obj, EntityWriter &writer )')
lines.append(' {')
lines.append(' bool success = true;')
if vars_have_entity:
lines.append(' EntityWriter *section_writer = nullptr;')
lines.append('')
for var in entity.Variables:
lines.extend(ImplementWriterCall(entity,var))
lines.append(' return true;')
lines.append(' }')
lines.append('')
# reader code
lines.append(f' bool {entity.Name}::MF::Read( {entity.Name} &obj, EntityReader &reader )')
lines.append(' {')
lines.append(' bool success = true;')
if vars_have_entity:
lines.append(' EntityReader *section_reader = nullptr;')
lines.append('')
for var in entity.Variables:
lines.extend(ImplementReaderCall(entity,var))
lines.append(' return true;')
lines.append(' }')
lines.append('')
# validator code
lines.append(f' bool {entity.Name}::MF::Validate( const {entity.Name} &obj, EntityValidator &validator )')
lines.append(' {')
lines.append(' bool success = true;')
lines.append('')
for var in entity.Variables:
lines.extend(ImplementValidatorCall(entity,var))
lines.append(' return true;')
lines.append(' }')
lines.append('')
lines.append(' };')
hlp.write_lines_to_file(f"../ISD/ISD_{entity.Name}.cpp",lines)
def run():
for entity in ents.Entities:
CreateEntityHeader(entity)
CreateEntitySource(entity)
| 36.584352 | 137 | 0.610239 | 1,883 | 14,963 | 4.793415 | 0.096123 | 0.274208 | 0.109018 | 0.13162 | 0.775759 | 0.715489 | 0.649125 | 0.603922 | 0.507755 | 0.445934 | 0 | 0.001112 | 0.218806 | 14,963 | 408 | 138 | 36.67402 | 0.771067 | 0.082203 | 0 | 0.580442 | 0 | 0.082019 | 0.510585 | 0.109286 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028391 | false | 0 | 0.006309 | 0 | 0.053628 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d559271b88067f1b332818a736955504517b1537 | 4,846 | py | Python | tests/fixtures/project_django/app.py | nappex/freezeyt | 67ead4552ae402cedfcf4ee8ec76fb8a07850724 | [
"MIT"
] | 7 | 2020-09-23T15:27:09.000Z | 2022-03-20T19:31:41.000Z | tests/fixtures/project_django/app.py | nappex/freezeyt | 67ead4552ae402cedfcf4ee8ec76fb8a07850724 | [
"MIT"
] | 160 | 2020-07-06T17:58:35.000Z | 2022-03-30T13:06:07.000Z | tests/fixtures/project_django/app.py | nappex/freezeyt | 67ead4552ae402cedfcf4ee8ec76fb8a07850724 | [
"MIT"
] | 10 | 2020-07-06T18:05:10.000Z | 2022-03-12T21:20:11.000Z | import os
from werkzeug.middleware.shared_data import SharedDataMiddleware
from demo_project.wsgi import application as django_wsgi_app
app = SharedDataMiddleware(django_wsgi_app, {
'/static': os.path.join(os.path.dirname(__file__), 'static')
})
freeze_config = {'extra_pages': ['/extra/']}
expected_dict = {
'index.html':
b"\n <html>\n <head>\n "
+ b"<title>Hello world app</title>\n </head>\n <body>\n"
+ b" <h3>Hello world! This is a home page of app.</h3>\n"
+ b" <div>\n <a href='/second_page.html'>LINK"
+ b"</a> to second page.\n </div>\n </body>\n"
+ b" </html>\n ",
'second_page.html':
b'\n <html>\n <head>\n '
+ b'<title>Hello world app</title>\n </head>\n '
+ b'<body>\n <h3>Second page !!!</h3>\n <div>\n'
+ b' <a href="/third_page/">LINK</a> to third page.\n'
+ b' </div>\n </body>\n </html>\n ',
'third_page': {
'index.html':
b'\n <html>\n <head>\n '
+ b'<title>Hello world app</title>\n </head>\n '
+ b'<body>\n <h3>Third page !!!</h3>\n '
+ b'<div>\n <a href="/image_page/">LINK</a> to page '
+ b'with smile.png\n </div>\n <div>\n'
+ b" <a href='/'>LINK</a> to home page.\n"
+ b' </div>\n </body>\n </html>\n '
},
'image_page': {
'index.html':
b'\n <html>\n <head>\n '
+ b'<title>Hello world app</title>\n </head>\n'
+ b' <body>\n <h3>Image page !!!</h3>\n'
+ b' <div>\n \n '
+ b'<img src="/static/demo_app/smile.png" alt="smile">\n'
+ b' </div>\n <div>\n '
+ b'<a href="/">HOME</a> back to index page.\n </div>\n'
+ b' <div>\n '
+ b'<a href="/third_page/">BACK</a> back to third page.\n'
+ b' </div>\n </body>\n </html>\n '
},
'extra': {
'index.html':
b'\n <html>\n <head>\n '
+ b'<title>Hello world app</title>\n </head>\n'
+ b' <body>\n <h3>Hello world! This '
+ b'is a extra page of app.</h3>\n <div>\n'
+ b' Theres is no any link to this page in app.\n'
+ b' </div>\n </body>\n </html>\n '
},
'static': {
'demo_app': {
'smile.png':
b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x08\x00\x00\x00\x08\x08\x06\x00\x00\x00\xc4\x0f\xbe\x8b\x00\x00\x01\x85iCCPICC profile\x00\x00(\x91}\x91=H\xc3@\x1c\xc5_[\xa5\xa5T\x14,"\xe2\x90\xa1:Y\x10\xbfp\xd4*\x14\xa1B\xa8\x15Zu0\xb9\xf4Ch\xd2\x90\xa4\xb88\n\xae\x05\x07?\x16\xab\x0e.\xce\xba:\xb8\n\x82\xe0\x07\x88\x93\xa3\x93\xa2\x8b\x94\xf8\xbf\xa4\xd0"\xc6\x83\xe3~\xbc\xbb\xf7\xb8{\x07\xf8\xebe\xa6\x9a\x1d\xa3\x80\xaaYF:\x99\x10\xb2\xb9\x15!\xf8\x8a\x10\xc2\xe8\xc1$\xfa$f\xea\xb3\xa2\x98\x82\xe7\xf8\xba\x87\x8f\xafwq\x9e\xe5}\xee\xcf\xd1\xa5\xe4M\x06\xf8\x04\xe2\x19\xa6\x1b\x16\xf1:\xf1\xd4\xa6\xa5s\xde\'\x8e\xb2\x92\xa4\x10\x9f\x13\x8f\x18tA\xe2G\xae\xcb.\xbfq.:\xec\xe7\x99Q#\x93\x9e#\x8e\x12\x0b\xc56\x96\xdb\x98\x95\x0c\x95x\x828\xa6\xa8\x1a\xe5\xfb\xb3.+\x9c\xb78\xab\xe5*k\xde\x93\xbf0\x92\xd7\x96\x97\xb8Ns\x10I,`\x11"\x04\xc8\xa8b\x03eX\x88\xd3\xaa\x91b"M\xfb\t\x0f\xff\x80\xe3\x17\xc9%\x93k\x03\x8c\x1c\xf3\xa8@\x85\xe4\xf8\xc1\xff\xe0w\xb7fa|\xccM\x8a$\x80\xce\x17\xdb\xfe\x18\x02\x82\xbb@\xa3f\xdb\xdf\xc7\xb6\xdd8\x01\x02\xcf\xc0\x95\xd6\xf2W\xea\xc0\xf4\'\xe9\xb5\x96\x16;\x02\xba\xb7\x81\x8b\xeb\x96&\xef\x01\x97;@\xff\x93.\x19\x92#\x05h\xfa\x0b\x05\xe0\xfd\x8c\xbe)\x07\xf4\xde\x02\xe1U\xb7\xb7\xe6>N\x1f\x80\x0cu\x95\xba\x01\x0e\x0e\x81\xe1"e\xafy\xbc;\xd4\xde\xdb\xbfg\x9a\xfd\xfd\x00z~r\xaa\x113\xb8=\x00\x00\x00\x06bKGD\x00\xff\x00\xff\x00\xff\xa0\xbd\xa7\x93\x00\x00\x00\tpHYs\x00\x00.#\x00\x00.#\x01x\xa5?v\x00\x00\x00\x07tIME\x07\xe4\x08\n\x107\x0euUv\xd2\x00\x00\x00\x19tEXtComment\x00Created with GIMPW\x81\x0e\x17\x00\x00\x00eIDAT\x18\xd3}\xcf\xb1\r\x83P\x10\x03\xd0\xf7\xbf\x18\x83&]\xb2\x05\x15\x15M\xf6HA\xc1 \x14\xec\x91\x9ea`\x14(\xf8QN\x11\xc4\x8d\xed\xbb\x93\xe5K\x0et\xa8\xb1\xf9b\xc5\x0c\x8dk\xb4\x19\xf7b\xdea1\x15\xbe\xe50|\x06\xfd*\x9c\xe2A\x7f\x92\xa0\n\xc5F\x0c\xc81\x01\xda?%\x9b\xf4\x11x\xfc\xbc\xb9`\xde\x01Qk\x0c\xd9>\xf6\x12\xa2\x00\x00\x00\x00IEND\xaeB`\x82',
},
},
}
| 67.305556 | 1,935 | 0.517128 | 784 | 4,846 | 3.167092 | 0.354592 | 0.020942 | 0.039871 | 0.025373 | 0.225131 | 0.196939 | 0.190093 | 0.153041 | 0.146597 | 0.138542 | 0 | 0.150965 | 0.272802 | 4,846 | 71 | 1,936 | 68.253521 | 0.553632 | 0 | 0 | 0.25 | 0 | 0.033333 | 0.695832 | 0.334915 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d5604b64db4d3f320f8d3028c22641d0b46395b6 | 193 | py | Python | dmrg101/utils/tridiagonal_solver/example_9_13.py | chanul13/hubbard_dimer | 0a1eefdf4cb5cc5f80bd3348d045a90890f51b6c | [
"MIT"
] | 42 | 2015-02-11T03:08:04.000Z | 2022-03-28T14:54:39.000Z | dmrg101/utils/tridiagonal_solver/example_9_13.py | liangjj/dmrg101 | aaf3913f5a616dc84c4100efbeb819648973c582 | [
"MIT"
] | 1 | 2015-03-05T22:47:13.000Z | 2015-03-05T22:47:13.000Z | dmrg101/utils/tridiagonal_solver/example_9_13.py | iglpdc/dmrg101 | aaf3913f5a616dc84c4100efbeb819648973c582 | [
"MIT"
] | 10 | 2015-04-29T02:33:05.000Z | 2021-09-09T02:36:13.000Z | #!/usr/bin/env python
from numpy import ones
from tridiagonal_solver import *
n = 300
d = ones((n))*2.0
c = ones((n-1))*(-1.0)
evals, evecs = tridiagonal_solver(d,c)
print evals
print evecs
| 17.545455 | 39 | 0.689119 | 35 | 193 | 3.742857 | 0.571429 | 0.259542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04908 | 0.15544 | 193 | 10 | 40 | 19.3 | 0.754601 | 0.103627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.25 | null | null | 0.25 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d56203bf344b0493d8ba766a755a1deacb432f64 | 2,410 | py | Python | src-el/Parisa-wizard/einputdiff.py | EulerProject/EulerX | 49e63e6a27be97ab30832180a47d214494388e15 | [
"MIT"
] | 15 | 2016-02-17T20:48:29.000Z | 2021-03-05T20:38:05.000Z | src-el/Parisa-wizard/einputdiff.py | eddy7896/EulerX | 49e63e6a27be97ab30832180a47d214494388e15 | [
"MIT"
] | 16 | 2015-02-05T18:38:48.000Z | 2021-06-14T11:38:36.000Z | src-el/Parisa-wizard/einputdiff.py | eddy7896/EulerX | 49e63e6a27be97ab30832180a47d214494388e15 | [
"MIT"
] | 4 | 2016-01-26T03:24:52.000Z | 2020-01-09T07:57:15.000Z |
# Euler Input diff (einputdiff) receives filename as input and outputs diff files
# showing the difference between the pair of files with this filename in the current
# directory
# It also generates a csv file called "sum.csv" in the current directory that lists
# all of the cleanTax files in the current directory and their timestamps
# __author__ = "Parisa Kianmajd"
#__version__ = "1.0.2"
import difflib
import sys
import os
import csv
import re
def diff(f1,f2,t,c):
filename = {f1:"", f2: ""}
diff = difflib.ndiff(open(f1).readlines(), open(f2).readlines())
for f in [f1,f2]:
if "/" in f:
filename[f] = f.split("/")[-1]
else:
filename[f] = f
out = open('diff_' + str(c) + "_" + filename[f1] , "w")
out.write('File #1: ' + f1 + ' Timestamp #1:' + t[0] + '\n')
out.write('File #2: ' + f2 + 'Timestamp #2:' + t[1] + '\n')
out.write('\n')
try:
while 1:
out.write(diff.next(),)
except:
pass
out.close()
def einputdiff():
filesList = list()
compareList = list()
try:
arg1 = sys.argv[1]
except IndexError:
print 'Usage: diff.py <arg1>'
sys.exit(1)
filename = sys.argv[1]
for root, dirs, files in os.walk('.'):
for name in files:
if name.endswith('.txt'):
if root != '.':
fpath = os.path.join(root, name)
timestamp = fpath.split('./')[1].split('/')[1].split('/')[0]
timestamp = timestamp[:timestamp.find(":") + 6]
filesList.append([fpath,timestamp])
if name == filename:
compareList.append([fpath,timestamp])
with open('sum.csv',"w") as reportFile:
writer = csv.writer(reportFile, delimiter=',')
writer.writerow (['User', 'Filename', 'TimeStamp'])
for n in filesList:
user = n[0].split("/")[1]
if ":" in user:
user = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(n[0])), '..')).split("/")[-1]
writer.writerow([user, n[0],n[1]])
i = 0
c = 1
while i < len(compareList) - 1:
time = (compareList[i][1], compareList[i+1][1])
diff(compareList[i][0],compareList[i+1][0],time,c)
i += 2
c += 1
einputdiff()
| 29.753086 | 113 | 0.524481 | 305 | 2,410 | 4.111475 | 0.340984 | 0.023923 | 0.028708 | 0.050239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029003 | 0.313278 | 2,410 | 80 | 114 | 30.125 | 0.728701 | 0.156846 | 0 | 0.034483 | 1 | 0 | 0.062778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.017241 | 0.086207 | null | null | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d56349cf25ede5ff613c649773fd18c6a6bf93e6 | 1,211 | py | Python | main/tables.py | nucluster/us_states | 26cca38990b9afb6a2b8cc4d1365409428793c6d | [
"MIT"
] | null | null | null | main/tables.py | nucluster/us_states | 26cca38990b9afb6a2b8cc4d1365409428793c6d | [
"MIT"
] | null | null | null | main/tables.py | nucluster/us_states | 26cca38990b9afb6a2b8cc4d1365409428793c6d | [
"MIT"
] | null | null | null | import django_tables2 as tables
from django.utils.html import format_html
from .models import State
class ImageColumnFlag(tables.Column):
def render(self, value):
return format_html(
'<a href="/media/{0}"><img src="/media/{0}.png" width="100" '
'height="66" alt="{0}"/>', value)
class ImageColumnSeal(tables.Column):
def render(self, value):
return format_html(
'<a href="/media/{0}"><img src="/media/{0}.png" width="50" '
'height="50" alt="{0}" />', value)
class StateTable(tables.Table):
id = tables.Column(verbose_name='#',
attrs={"th": {"style": "font-size: 32px"},
"td": {"style": "font-weight: bold"}}
)
flag_image = ImageColumnFlag()
seal_image = ImageColumnSeal()
def render_ratification(self, value):
return value
class Meta:
model = State
attrs = {"class": "table table-striped table-bordered"}
fields = ('id', 'name', 'zip_code', 'capital', 'largest_city',
'ratification', 'population', 'total_area', 'land_area',
'water_area', 'flag_image', 'seal_image')
| 32.72973 | 74 | 0.559868 | 134 | 1,211 | 4.947761 | 0.492537 | 0.036199 | 0.067873 | 0.063348 | 0.232278 | 0.232278 | 0.232278 | 0.232278 | 0.232278 | 0.232278 | 0 | 0.020595 | 0.278282 | 1,211 | 36 | 75 | 33.638889 | 0.737986 | 0 | 0 | 0.142857 | 0 | 0.071429 | 0.29232 | 0.036334 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.107143 | 0.107143 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
d56c608ffa705a06fadac613c22c7f74d51ed1bd | 541 | py | Python | clases/novena.py | PythonCisco/clase | 6e18715012ce72385637b7f09a0a9c810165f1af | [
"MIT"
] | null | null | null | clases/novena.py | PythonCisco/clase | 6e18715012ce72385637b7f09a0a9c810165f1af | [
"MIT"
] | null | null | null | clases/novena.py | PythonCisco/clase | 6e18715012ce72385637b7f09a0a9c810165f1af | [
"MIT"
] | null | null | null |
"""
git
igualdad e identidad
excepciones
operadores binarios
"""
# excepcionew
# out of bounds exception
# keyerror
# excepcion para mejor validación de entrada
# excepcion para continuar en un error (keyerror en mi piano)
"""
<< (bit shift) (desplazamiento de bit a la izquierda)
011011
110110
101100
011000
>> (right bit shift) (desplazamiento de bit a la derecha)
1001
0100
0010
~ (complemento)
1100
0011
1010101111000
0101010000111
& (bitwise and)
1001
1010 &
1000
| (bitwise or)
1001
1010 |
1011
^ (xor)
1001
1010 ^
0011
"""
| 10.607843 | 61 | 0.728281 | 72 | 541 | 5.472222 | 0.722222 | 0.060914 | 0.111675 | 0.121827 | 0.152284 | 0.152284 | 0.152284 | 0 | 0 | 0 | 0 | 0.240909 | 0.186691 | 541 | 50 | 62 | 10.82 | 0.654545 | 0.378928 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d56f15f8b28a5685d54a048c3783a785e5f7c317 | 2,965 | py | Python | wyze_sdk/api/base.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 132 | 2021-05-03T12:33:58.000Z | 2022-03-31T18:03:26.000Z | wyze_sdk/api/base.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 51 | 2021-05-01T20:24:20.000Z | 2022-03-30T20:37:05.000Z | wyze_sdk/api/base.py | RebelTat/wyze-sdk | 249b1df71e80c97fc2e5fb5977431b887f7361c2 | [
"Unlicense"
] | 21 | 2021-05-05T14:01:38.000Z | 2022-03-29T02:58:39.000Z | import logging
from abc import ABCMeta
from typing import Optional, Sequence
from wyze_sdk.errors import WyzeClientConfigurationError
from wyze_sdk.service import (ApiServiceClient, EarthServiceClient,
GeneralApiServiceClient, PlatformServiceClient,
ScaleServiceClient, VenusServiceClient,
WyzeResponse)
class BaseClient(object, metaclass=ABCMeta):
def __init__(
self,
token: str = None,
user_id: str = None,
base_url: Optional[str] = None,
logger: logging.Logger = logging.getLogger(__name__),
**kwargs,
):
if token is None:
raise WyzeClientConfigurationError("client is not logged in")
self._token = token.strip()
self._user_id = user_id
self._base_url = base_url
self._logger = logger
def _platform_client(self) -> PlatformServiceClient:
return BaseClient._service_client(PlatformServiceClient, token=self._token, base_url=self._base_url)
def _api_client(self) -> ApiServiceClient:
return BaseClient._service_client(ApiServiceClient, token=self._token, base_url=self._base_url)
@staticmethod
def _service_client(cls, *, token: str, base_url: Optional[str] = None, **kwargs) -> "BaseClient":
"""Create a service client to execute the API call to Wyze.
Args:
cls (class): The target service client.
e.g. 'PlatformServiceClient'
token (str): The access token.
base_url (Optional[str]): The base url of the service.
Returns:
(BaseClient)
A new pre-configured client for interacting
with the target service.
"""
return cls(
token=token,
**{{'base_url': base_url}, kwargs} if base_url is not None else kwargs,
)
def _earth_client(self) -> EarthServiceClient:
return BaseClient._service_client(EarthServiceClient, token=self._token, base_url=self._base_url)
def _general_api_client(self) -> GeneralApiServiceClient:
return GeneralApiServiceClient(
token=self._token,
**{'base_url': self._base_url} if self._base_url else {},
user_id=self._user_id,
)
def _scale_client(self) -> ScaleServiceClient:
return BaseClient._service_client(ScaleServiceClient, token=self._token, base_url=self._base_url)
def _venus_client(self) -> VenusServiceClient:
return BaseClient._service_client(VenusServiceClient, token=self._token, base_url=self._base_url)
def _create_user_event(self, pid: str, event_id: str, event_type: int) -> WyzeResponse:
self._general_api_client().post_user_event(pid=pid, event_id=event_id, event_type=event_type)
def _list_devices(self, **kwargs) -> Sequence[dict]:
return self._api_client().get_object_list()["data"]["device_list"]
| 40.067568 | 108 | 0.659359 | 328 | 2,965 | 5.655488 | 0.262195 | 0.083019 | 0.047439 | 0.058221 | 0.133693 | 0.109973 | 0.109973 | 0.109973 | 0.075472 | 0 | 0 | 0 | 0.251602 | 2,965 | 73 | 109 | 40.616438 | 0.835962 | 0.117369 | 0 | 0 | 0 | 0 | 0.025296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.204082 | false | 0 | 0.102041 | 0.142857 | 0.489796 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
d5836450cf7613039af7f7f6ad9dcd054a00ddac | 7,261 | py | Python | Test/quizdnn.py | Shakil-1501/TSAI | d553f0a81d52d24f4c25db2cd5427efbadae31d0 | [
"MIT"
] | null | null | null | Test/quizdnn.py | Shakil-1501/TSAI | d553f0a81d52d24f4c25db2cd5427efbadae31d0 | [
"MIT"
] | null | null | null | Test/quizdnn.py | Shakil-1501/TSAI | d553f0a81d52d24f4c25db2cd5427efbadae31d0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""QuizDNN.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1ozIOE_4mtW7BCkuslZdVu1OyL0AMeufy
"""
from datetime import datetime
print("Current Date/Time: ", datetime.now())
import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Sequential(nn.Conv2d(in_channels=3,out_channels=16,kernel_size=(3,3),padding=1),
nn.ReLU(),
nn.BatchNorm2d(num_features=16),
nn.Conv2d(16,32,3, padding = 1),
nn.ReLU(),
nn.BatchNorm2d(num_features=32)
)
self.maxpool1 = nn.Sequential( nn.MaxPool2d(2,2) )
self.conv2 = nn.Sequential(nn.Conv2d(in_channels=32,out_channels=64,kernel_size=(3,3),padding=1),
nn.ReLU(),
nn.BatchNorm2d(num_features=64),
nn.Conv2d(64,64,3,padding = 1),
nn.ReLU(),
nn.BatchNorm2d(num_features=64),
nn.Conv2d(in_channels=64,out_channels=128,kernel_size=(3,3),padding=1),
nn.ReLU(),
nn.BatchNorm2d(num_features=128)
)
self.maxpool2 = nn.Sequential( nn.MaxPool2d(2,2) )
self.conv3 = nn.Sequential(nn.Conv2d(in_channels=128,out_channels=128,kernel_size=(3,3),padding=1),
nn.ReLU(),
nn.BatchNorm2d(num_features=128),
nn.Conv2d(128,128,3,padding = 1),
nn.ReLU(),
nn.BatchNorm2d(num_features=128),
nn.Conv2d(128,10,3,padding = 1),
nn.ReLU(),
nn.BatchNorm2d(num_features = 10)
)
self.gap = nn.Sequential( nn.AvgPool2d(kernel_size=8))
self.fc = nn.Sequential( nn.Linear( 128,10) )
def forward(self, x):
x = self.conv1(x)
x = self.maxpool1(x)
x = self.conv2(x)
x = self.maxpool2(x)
x = self.conv3(x)
x = self.gap(x)
#x = self.fc(x)
x = x.view(-1, 10)
return F.log_softmax(x)
!pip install torchsummary
from torchsummary import summary
use_cuda = torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")
net = Net().to(device)
summary(net, input_size=(3, 32, 32))
# Commented out IPython magic to ensure Python compatibility.
# %matplotlib inline
import torchvision
import torchvision.transforms as transforms
transform = transforms.Compose( [transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
train_transform = transforms.Compose( [transforms.RandomHorizontalFlip(p=0.5),
transforms.RandomCrop(32, padding=2),
transforms.ColorJitter(brightness=0.1, contrast=0.1,saturation=0.1,hue=0.1),
#transforms.RandomRotation( degrees = 7 ),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
trainset = torchvision.datasets.CIFAR10(root='./data',
train=True,
download=True,
transform = train_transform)
trainloader = torch.utils.data.DataLoader(trainset,
batch_size = 30,
shuffle=True,
num_workers = 4)
testset = torchvision.datasets.CIFAR10(root='./data',
train=False,
download=True,
transform=transform)
testloader = torch.utils.data.DataLoader(testset,
batch_size = 30,
shuffle=False,
num_workers = 4)
classes = ('plane', 'car', 'bird', 'cat','deer', 'dog', 'frog', 'horse', 'ship', 'truck')
import matplotlib.pyplot as plt
import numpy as np
# functions to show an image
def imshow(img):
img = img / 2 + 0.5 # unnormalize
npimg = img.numpy()
plt.imshow(np.transpose(npimg, (1, 2, 0)))
# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
# show images
imshow(torchvision.utils.make_grid(images))
# print labels
print(' '.join('%5s' % classes[labels[j]] for j in range(4)))
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9 , weight_decay = 0.001 )
scheduler= StepLR(optimizer,step_size=5,gamma=0.1)
print("Device : ", device)
for epoch in range(10): # loop over the dataset multiple times
running_loss = 0.0
for i, data in enumerate(trainloader, 0):
# get the inputs
inputs, labels = data[0].to(device) , data[1].to(device)
# zero the parameter gradients
optimizer.zero_grad()
# forward + backward + optimize
outputs = net(inputs)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
# print statistics
running_loss += loss.item()
if i % 300 == 299: # print every 2000 mini-batches
print('[%d, %5d] loss: %.3f' %(epoch + 1, i + 1, running_loss / 300))
running_loss = 0.0
correct = 0
total = 0
with torch.no_grad():
for data in testloader:
images, labels = data[0].to(device) , data[1].to(device)
outputs = net(images)
_, predicted = torch.max(outputs.data, 1)
total += labels.size(0)
correct += (predicted == labels).sum().item()
print('Accuracy of the network on the 10000 test images: %d %%' % (100 * correct / total))
class_correct = list(0. for i in range(10))
class_total = list(0. for i in range(10))
with torch.no_grad():
for data in testloader:
images, labels = data[0].to(device) , data[1].to(device)
outputs = net(images)
_, predicted = torch.max(outputs, 1)
c = (predicted == labels).squeeze()
for i in range(4):
label = labels[i]
class_correct[label] += c[i].item()
class_total[label] += 1
for i in range(10):
print('Accuracy of %5s : %2d %%' % (
classes[i], 100 * class_correct[i] / class_total[i]))
| 37.045918 | 115 | 0.511913 | 806 | 7,261 | 4.537221 | 0.300248 | 0.007657 | 0.008203 | 0.010938 | 0.321575 | 0.31802 | 0.272081 | 0.215751 | 0.215751 | 0.185671 | 0 | 0.056214 | 0.372814 | 7,261 | 195 | 116 | 37.235897 | 0.746816 | 0.056328 | 0 | 0.25 | 1 | 0 | 0.028507 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.095588 | null | null | 0.044118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d58600723a985cd64f1bf8e33ee08163ad502d30 | 31,079 | py | Python | python/textmining-0.65/textmining/blacklist.py | dataesr/scanr-backend | 39681be69b9a96b4a07b9410754c897cd5b65c24 | [
"MIT"
] | null | null | null | python/textmining-0.65/textmining/blacklist.py | dataesr/scanr-backend | 39681be69b9a96b4a07b9410754c897cd5b65c24 | [
"MIT"
] | 3 | 2020-06-18T15:06:10.000Z | 2021-05-07T16:29:50.000Z | plugins/textmining/textmining/blacklist.py | reseachalps/Search-Engine | 1cd1e83902119938ffd412394b09dce92d082500 | [
"MIT"
] | null | null | null |
class Blacklist:
def __init__(self):
"""
Initializes a set of blaclisted words
"""
self.bl = set()
self.words = """
janvier
février
mars
avril
mai
juin
juillet
août
septembre
octobre
novembre
notamment
décembre
ai
accueil
ad
ads
adsense
ainsi
alors
amp
après
au
aujourd
auquel
aurait
auraient
aussi
autour
autre
autres
aux
auxquels
avec
avait
avoir
car
ccedil
ce
ceci
cela
ces
cet
cette
chaque
comme
dans
de
depuis
des
deux
devant
donc
dont
du
début
eacute
ecirc
egrave
elle
elles
en
encore
entre
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alles
allgemeinen
als
also
ander
andere
anderem
anderen
anderer
anderes
anderm
andern
anderr
anders
auch
auf
aus
ausser
ausserdem
außer
außerdem
bald
bei
beide
beiden
beim
beispiel
bekannt
bereits
besonders
besser
besten
bin
bis
bisher
bist
bißchen
dabei
dadurch
dafür
dagegen
daher
dahin
dahinter
damals
damit
danach
daneben
dank
dann
daran
darauf
daraus
darf
darfst
darin
darum
darunter
darüber
das
dasein
daselbst
dass
dasselbe
davon
davor
dazu
dazwischen
daß
dein
deine
deinem
deinen
deiner
deines
dem
dementsprechend
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demgemäss
demgemäß
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demzufolge
den
denen
denn
denselben
der
deren
derer
derjenige
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dermaßen
derselbe
derselben
des
deshalb
desselben
dessen
deswegen
dich
die
diejenige
diejenigen
dienstag
dies
diese
dieselbe
dieselben
diesem
diesen
dieser
dieses
dir
doch
donnerstag
dort
drei
drin
dritte
dritten
dritter
drittes
durch
durchaus
durfte
durften
dürfen
dürft
eben
ebenso
ehe
ehrlich
eigen
eigene
eigenen
eigener
eigenes
ein
einander
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einem
einen
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einig
einige
einigem
einigen
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einiges
einmal
eins
elf
ende
endlich
entlang
entweder
ernst
erst
erste
ersten
erster
erstes
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etwas
euch
euer
eure
eurem
euren
eurer
eures
freitag
früher
fünf
fünfte
fünften
fünfter
fünftes
für
fürs
gab
ganz
ganze
ganzen
ganzer
ganzes
gar
gedurft
gegen
gegenüber
gehabt
gehen
geht
gekannt
gekonnt
gemacht
gemocht
gemusst
genau
genug
gerade
gern
gesagt
geschweige
gewesen
gewollt
geworden
gibt
ging
gleich
gott
gross
grosse
grossen
grosser
grosses
groß
große
großen
großer
großes
gut
gute
guter
gutes
hab
habe
haben
habt
hast
hat
hatte
hatten
heisst
her
herein
herum
heute
hier
hin
hinter
hintern
hoch
hätte
hätten
ich
ihm
ihn
ihnen
ihr
ihre
ihrem
ihren
ihrer
ihres
immer
indem
infolgedessen
ins
irgend
ist
jahr
jahre
jahren
jede
jedem
jeden
jeder
jedermann
jedermanns
jedes
jedesmal
jedoch
jemand
jemandem
jemanden
jene
jenem
jenen
jener
jenes
jetzt
kam
kann
kannst
kaum
kein
keine
keinem
keinen
keiner
keines
kleine
kleinen
kleiner
kleines
kommen
kommt
konnte
konnten
kurz
können
könnt
könnte
lang
lange
leicht
leide
lieber
los
machen
macht
machte
mag
magst
mahn
man
manche
manchem
manchen
mancher
manches
mann
mehr
mein
meine
meinem
meinen
meiner
meines
mensch
menschen
mich
mir
mit
mittel
mittwoch
mochte
mochten
montag
morgen
muss
musst
musste
mussten
muß
müssen
müsst
möchte
mögen
möglich
mögt
nach
nachdem
nahm
natürlich
neben
nein
neue
neuen
neun
neunte
neunten
neunter
neuntes
nicht
nichts
nie
niemand
niemandem
niemanden
noch
nun
nur
nämlich
oben
ober
obgleich
oder
offen
oft
ohne
ordnung
paar
recht
rechte
rechten
rechter
rechtes
richtig
rund
sache
sagt
sagte
sah
samstag
satt
schlecht
schluss
schon
sechs
sechste
sechsten
sechster
sechstes
sehr
sei
seid
seien
sein
seine
seinem
seinen
seiner
seines
seit
seitdem
selbst
sich
sie
sieben
siebente
siebenten
siebenter
siebentes
sind
sogar
solang
solch
solche
solchem
solchen
solcher
solches
soll
sollen
sollte
sollten
sondern
sonntag
sonst
soviel
soweit
sowie
später
statt
tag
tage
tagen
tat
teil
tel
tritt
trotzdem
tun
uhr
und
und?
uns
unse
unsem
unsen
unser
unsere
unserem
unseren
unserer
unseres
unses
unsre
unsrem
unsren
unsrer
unsres
unter
vergangenen
viel
viele
vielem
vielen
vielleicht
vier
vierte
vierten
vierter
viertes
vom
von
vor
wahr?
wann
war
waren
warst
wart
warum
was
weg
wegen
weil
weit
weiter
weitere
weiteren
weiteres
welche
welchem
welchen
welcher
welches
wem
wen
wenig
wenige
weniger
weniges
wenigstens
wenn
wer
werde
werden
werdet
weshalb
wessen
wie
wieder
will
willst
wir
wird
wirklich
wirst
wohl
wollen
wollt
wollte
wollten
womit
worden
wurde
wurden
würde
würden
während
währenddem
währenddessen
wäre
wären
über
überhaupt
übrigens
zehn
zehnte
zehnten
zehnter
zehntes
zeit
zuerst
zugleich
zum
zunächst
zur
zurück
zusammen
zwanzig
zwar
zwei
zweite
zweiten
zweiter
zweites
zwischen
zwischens
zwölf
og
jeg
det
at
en
et
den
til
er
som
på
de
med
han
av
ikke
ikkje
der
så
var
meg
seg
men
ett
har
om
vi
min
mitt
ha
hadde
hun
nå
over
da
ved
fra
du
ut
sin
dem
oss
opp
man
kan
hans
hvor
eller
hva
skal
selv
sjøl
her
alle
vil
bli
ble
blei
blitt
kunne
inn
når
være
kom
noen
noe
ville
dere
som
deres
kun
ja
etter
ned
skulle
denne
for
deg
si
sine
sitt
mot
å
meget
hvorfor
dette
disse
uten
hvordan
ingen
din
ditt
blir
samme
hvilken
hvilke
sånn
inni
mellom
vår
hver
hvem
vors
hvis
både
bare
enn
fordi
før
mange
også
slik
vært
være
båe
begge
siden
dykk
dykkar
dei
deira
deires
deim
di
då
eg
ein
eit
eitt
elles
honom
hjå
ho
hoe
henne
hennar
hennes
hoss
hossen
ikkje
ingi
inkje
korleis
korso
kva
kvar
kvarhelst
kven
kvi
kvifor
me
medan
mi
mine
mykje
no
nokon
noka
nokor
noko
nokre
si
sia
sidan
so
somt
somme
um
upp
vere
vore
verte
vort
varte
vart
un
despre
dupa
înainte
tot
toţi
aproape
asemenea
una
şi
răspuns
oricare
oricine
oricui
oriunde
sunt
este
ca
întreabă
întrebare
la
rau
fi
pentru
fiind
între
mare
apropo
dar
de
poate
zi
ziua
zile
făcut
fă
face
jos
fiecare
etc
altfel
departe
găseşte
pentru
ia
bun
are
având
ea
aici
iei
lui
acum
eu
dacă
în
doar
ştie
şti
mare
mic
mult
poate
multe
nevoie
niciodată
nou
noutăţi
nu
not
nimic
de
frecvent
batrân
pornit
oprit
odată
doar
oops
sau
altul
alta
afară
pagina
pune
întrebare
întrebări
întrebat
citat
decât
recent
spus
văzut
spune
vede
trebui
trebuia
deci
câţiva
ceva
cândva
undeva
curând
adevarat
acela
acel
acesta
aceasta
aceştia
lor
ei
atunci
acolo
prin
timp
spre
tot
sub
sus
utilizatori
versiune
foarte
via
vrea
vreau
fost
cale
noi
mers
ce
când
unde
care
cine
larg
cu
fără
da
înca
tu
lol
aan
af
al
alles
als
altijd
andere
ben
bij
daar
dan
dat
de
der
deze
die
dit
doch
doen
door
dus
een
eens
en
er
ge
geen
geweest
haar
had
heb
hebben
heeft
hem
het
hier
hij
hoe
hun
iemand
iets
ik
in
is
ja
je
kan
kon
kunnen
maar
me
meer
men
met
mij
mijn
moet
na
naar
niet
niets
nog
nu
of
om
omdat
ons
ook
op
over
reeds
te
tegen
toch
toen
tot
u
uit
uw
van
veel
voor
want
waren
was
wat
we
wel
werd
wezen
wie
wij
wil
worden
zal
ze
zei
zelf
zich
zij
zijn
zo
zonder
zou
"""
self._make_bl()
def _make_bl(self):
words = self.words.split('\n')
for w in words:
w = w.strip()
self.bl.add( w )
| 6.228257 | 41 | 0.835612 | 5,015 | 31,079 | 5.17667 | 0.893719 | 0.00104 | 0.001387 | 0.001156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162747 | 31,079 | 4,989 | 42 | 6.229505 | 0.997694 | 0.001191 | 0 | 0.180012 | 0 | 0 | 0.992683 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0.000401 | false | 0.000201 | 0 | 0 | 0.000602 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d593aa20c0d454fc001963dd13357c95ff3ddb2c | 1,149 | py | Python | app/menubar.py | Ahmedelsayed518/UV-Visible-GUI | 637cacf26b8f3842ba6e7547134f334b88b5322e | [
"MIT"
] | null | null | null | app/menubar.py | Ahmedelsayed518/UV-Visible-GUI | 637cacf26b8f3842ba6e7547134f334b88b5322e | [
"MIT"
] | null | null | null | app/menubar.py | Ahmedelsayed518/UV-Visible-GUI | 637cacf26b8f3842ba6e7547134f334b88b5322e | [
"MIT"
] | null | null | null | from tkinter import *
from tkinter import ttk
class menubar(Frame):
def __init__(self, parent, controller, root):
Frame.__init__(self, parent)
self.controller = controller
self.root = root
menubar = Menu(self.root)
file = Menu(menubar, tearoff=0)
edit = Menu(menubar, tearoff=0)
#file menu###########
file.add_command(label="New")
file.add_command(label="Open")
file.add_command(label="Save")
file.add_command(label="Save as...")
file.add_command(label="Close")
file.add_separator()
file.add_command(label="Exit")
menubar.add_cascade(label="File", menu=file)
#######################
#Edit menu#############
edit.add_command(label="Undo")
edit.add_separator()
edit.add_command(label="Cut")
edit.add_command(label="Copy")
edit.add_command(label="Paste")
edit.add_command(label="Delete")
edit.add_command(label="Select All")
menubar.add_cascade(label="Edit", menu=edit)
root.config(menu=menubar) | 32.828571 | 52 | 0.56658 | 130 | 1,149 | 4.823077 | 0.284615 | 0.191388 | 0.287081 | 0.181818 | 0.073365 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002401 | 0.275022 | 1,149 | 35 | 53 | 32.828571 | 0.7503 | 0.015666 | 0 | 0 | 0 | 0 | 0.064635 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d5a7eaad2ca3f57bf69ca5f2eb5a47623af754a4 | 743 | py | Python | lambdas.py | christian1607/python | 6077cb2c87d31428d7fa4b98804742055def57be | [
"Apache-2.0"
] | null | null | null | lambdas.py | christian1607/python | 6077cb2c87d31428d7fa4b98804742055def57be | [
"Apache-2.0"
] | null | null | null | lambdas.py | christian1607/python | 6077cb2c87d31428d7fa4b98804742055def57be | [
"Apache-2.0"
] | null | null | null | sum = lambda a,b : a + b
print("suma: "+ str(sum(1,2)))
# Map lambdas
names = ["Christian", "yamile", "Anddy", "Lucero", "Evelyn"]
names = map(lambda name:name.upper(),names)
print(list(names))
def decrement_list (*vargs):
return list(map(lambda number: number - 1,vargs))
print(decrement_list(1,2,3))
#all
def is_all_strings(lst):
return all(type(l) == str for l in lst)
print(is_all_strings(['2',3]))
#sorted
numbers = [2,3,5,1,8,3,7,9,4]
print(numbers)
print(sorted(numbers))
print(sorted(numbers,reverse=True))
print(numbers)
def extremes(ass):
return min (ass),max(ass)
print(extremes([1,2,3,4,5]))
print(extremes("alcatraz"))
print(extremes([1,2,3,4,5]))
print(all(n%2==0 for n in [10, 2, 0, 4, 4, 4, 40])) | 17.27907 | 60 | 0.648721 | 132 | 743 | 3.606061 | 0.393939 | 0.021008 | 0.018908 | 0.105042 | 0.096639 | 0.096639 | 0.096639 | 0.096639 | 0 | 0 | 0 | 0.059561 | 0.141319 | 743 | 43 | 61 | 17.27907 | 0.68652 | 0.026918 | 0 | 0.181818 | 0 | 0 | 0.065278 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0 | 0.136364 | 0.272727 | 0.545455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 |
d5ad8f184cd220311a80ef9b817330aba06dc345 | 239 | py | Python | app/main.py | DECODEproject/decidim-pilot-connector | 8dd66025b28761da2684dad17fdc391a8e7f75da | [
"Apache-2.0"
] | null | null | null | app/main.py | DECODEproject/decidim-pilot-connector | 8dd66025b28761da2684dad17fdc391a8e7f75da | [
"Apache-2.0"
] | null | null | null | app/main.py | DECODEproject/decidim-pilot-connector | 8dd66025b28761da2684dad17fdc391a8e7f75da | [
"Apache-2.0"
] | 1 | 2019-08-27T00:48:09.000Z | 2019-08-27T00:48:09.000Z | from fastapi import FastAPI
app = FastAPI(title="DECIDIM Pilot connector",
description="Mission: connect DDDC to Chainspace",
version="0.0.1",)
@app.get("/")
def root():
return {"message": "Hello World"}
| 21.727273 | 64 | 0.615063 | 28 | 239 | 5.25 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016484 | 0.238494 | 239 | 10 | 65 | 23.9 | 0.791209 | 0 | 0 | 0 | 0 | 0 | 0.343096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0.142857 | 0.428571 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
63362738e692bfd0bddc71b189ce88879a2f72e4 | 424 | py | Python | src/wired_components/scanner/models.py | pauleveritt/wired_components | a9072d5fc48680d5ff895887842ffd0f06bc0081 | [
"MIT"
] | 1 | 2019-09-15T12:30:44.000Z | 2019-09-15T12:30:44.000Z | src/wired_components/scanner/models.py | pauleveritt/wired_components | a9072d5fc48680d5ff895887842ffd0f06bc0081 | [
"MIT"
] | null | null | null | src/wired_components/scanner/models.py | pauleveritt/wired_components | a9072d5fc48680d5ff895887842ffd0f06bc0081 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from types import ModuleType
from venusian import Scanner
from wired import ServiceRegistry
from zope.interface import Interface, implementer
class IScanner(Interface):
""" A decorator scanner """
def scan(target: ModuleType) -> None:
""" Look in a module for decorators """
@implementer(IScanner)
@dataclass
class WiredScanner(Scanner):
registry: ServiceRegistry
| 21.2 | 49 | 0.754717 | 47 | 424 | 6.808511 | 0.595745 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17217 | 424 | 19 | 50 | 22.315789 | 0.911681 | 0.122642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.454545 | 0 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
63426f8f97bf48d44f1d5e598b9e8d63f6c2b4ec | 5,523 | py | Python | IReporter/models.py | OwinoLucas/I-Reporter | d84048522c48585fc544496f18d3d404eef16f1e | [
"Unlicense"
] | null | null | null | IReporter/models.py | OwinoLucas/I-Reporter | d84048522c48585fc544496f18d3d404eef16f1e | [
"Unlicense"
] | 6 | 2021-03-30T13:52:30.000Z | 2021-09-08T02:13:04.000Z | IReporter/models.py | OwinoLucas/I-Reporter | d84048522c48585fc544496f18d3d404eef16f1e | [
"Unlicense"
] | 2 | 2020-06-17T17:15:46.000Z | 2020-07-01T19:15:22.000Z | from __future__ import unicode_literals
from django.db import models
from django.utils import timezone
import datetime
from cloudinary.models import CloudinaryField,CloudinaryResource
from django.utils import timezone
from django.db import transaction
from django.contrib.auth.models import (AbstractBaseUser, PermissionsMixin, BaseUserManager)
import jwt
from datetime import datetime, timedelta
from django.conf import settings
from cloudinary_storage.storage import VideoMediaCloudinaryStorage,MediaCloudinaryStorage
from cloudinary_storage.validators import validate_video
# Create your models here.
class UserManager(BaseUserManager):
def _create_user(self, email, password, **extra_fields):
"""
Creates and saves a User with the given email,and password.
"""
if not email:
raise ValueError('The given email must be set')
try:
with transaction.atomic():
user = self.model(email=email, **extra_fields)
user.set_password(password)
user.save(using=self._db)
return user
except:
raise
def create_user(self, email, password=None, **extra_fields):
extra_fields.setdefault('is_staff', False)
extra_fields.setdefault('is_superuser', False)
return self._create_user(email, password, **extra_fields)
def create_superuser(self, email, password, **extra_fields):
extra_fields.setdefault('is_staff', True)
extra_fields.setdefault('is_superuser', True)
return self._create_user(email, password=password, **extra_fields)
class User(AbstractBaseUser, PermissionsMixin):
"""
An abstract base class implementing a fully featured User model with
admin-compliant permissions.
"""
email = models.EmailField(max_length=40, unique=True)
first_name = models.CharField(max_length=30, blank=True)
last_name = models.CharField(max_length=30, blank=True)
is_active = models.BooleanField(default=True)
is_staff = models.BooleanField(default=False)
date_joined = models.DateTimeField(default=timezone.now)
objects = UserManager()
USERNAME_FIELD = 'email'
REQUIRED_FIELDS = ['first_name', 'last_name']
def save(self, *args, **kwargs):
super(User, self).save(*args, **kwargs)
return self
def generate_token(self,*args):
dt = datetime.now() + timedelta(days=60)
token = jwt.encode({
'id': self.pk,
'email': self.email,
'exp': int(dt.strftime('%s'))
}, settings.SECRET_KEY, algorithm='HS256')
return token.decode('utf-8')
class Profile(models.Model):
'''
profile class to define profile objects
'''
user=models.OneToOneField(User,on_delete=models.CASCADE)
profile_picture=CloudinaryField('picture',blank=True)
bio=models.CharField(max_length=100,blank=True)
contacts=models.CharField(max_length=30,blank=True)
def __str__(self):
return self.user
class Tag(models.Model):
'''
profile class to define tag object
'''
tag_name = models.CharField(max_length=100)
def __str__(self):
return self.tag_name
class InterventionRecord(models.Model):
'''
profile class to define InterventionRecord objects
'''
STATUS=(
('Under Investigation','Under Investigation'),
('rejected','rejected'),
('resolved','resolved')
)
title=models.CharField(max_length=50,blank=False)
description=models.TextField(blank=True, null=True)
time_of_creation=models.DateTimeField(auto_now_add=True)
time_last_edit=models.DateTimeField(auto_now=True)
status=models.CharField(max_length=20,choices=STATUS, blank=True, null=True ,default="waiting")
latitude = models.CharField(max_length=200, blank=True,null=True)
longitude = models.CharField(max_length=200,blank=True,null=True)
image=models.ImageField(upload_to='images/interventionimages/',blank=True,null=True,storage=MediaCloudinaryStorage(),max_length=100000, default="media/images/intervention_default_ozvizh.jpg")
videos=models.FileField(upload_to='videos/',blank=True,null=True,storage=VideoMediaCloudinaryStorage(),validators=[validate_video])
user=models.ForeignKey(User,on_delete=models.CASCADE)
tags=models.ManyToManyField(Tag,blank=True)
def __str__(self):
return self.title
class Meta:
ordering = ["-pk"]
class Flag(models.Model):
'''
profile class to define FlagRecord objects
'''
STATUS=[
('Under Investigation','Under Investigation'),
('rejected','rejected'),
('resolved','resolved')
]
title = models.CharField(max_length=100)
description=models.TextField()
created = models.DateTimeField(auto_now_add=True)
updated = models.DateTimeField(auto_now=True)
latitude = models.DecimalField(max_digits=9, decimal_places=6, default='')
longitude = models.DecimalField(max_digits=9, decimal_places=6, default='')
tags=models.ManyToManyField(Tag)
image=models.ImageField(upload_to='images/flagimages/',blank=True,storage=MediaCloudinaryStorage())
videos=models.FileField(upload_to='videos/',blank=True,storage=VideoMediaCloudinaryStorage(),validators=[validate_video])
user=models.ForeignKey(User,on_delete=models.CASCADE)
def __str__(self):
return self.title
class Meta:
verbose_name_plural = "Flags"
ordering = ["-pk"]
| 36.098039 | 195 | 0.699077 | 637 | 5,523 | 5.902669 | 0.299843 | 0.033511 | 0.047872 | 0.06383 | 0.457447 | 0.365957 | 0.263298 | 0.225532 | 0.164362 | 0.114894 | 0 | 0.009609 | 0.189752 | 5,523 | 152 | 196 | 36.335526 | 0.830615 | 0.063733 | 0 | 0.186916 | 0 | 0 | 0.07501 | 0.013818 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084112 | false | 0.056075 | 0.121495 | 0.037383 | 0.71028 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
634cb5675af0793e512fca5765da42da552eb36e | 3,866 | py | Python | interface/K12edu/common/picture_list_code.py | aoruilin/SeleniumBase | 304fd7a23661ebf561da47d4cd8f7365dba519ca | [
"MIT"
] | null | null | null | interface/K12edu/common/picture_list_code.py | aoruilin/SeleniumBase | 304fd7a23661ebf561da47d4cd8f7365dba519ca | [
"MIT"
] | null | null | null | interface/K12edu/common/picture_list_code.py | aoruilin/SeleniumBase | 304fd7a23661ebf561da47d4cd8f7365dba519ca | [
"MIT"
] | null | null | null | def author_picture():
author_picture_list = [
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"2ca50ff2ca024a75a893b80257458104.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"f3b24a5e1d534ba49b36f4ac36ce4f09.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"e7c07866de6f4cb0bccac1baad568d93.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"9c405d8ba8824dcab891b483afbea2bb.png",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"8800fb7a237740779f17b8ac57defa57.png"
]
return author_picture_list
def work_picture():
work_picture_list = [
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"4a60ada1fc0f478ca109f9fe49419328.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"20595550fe6e4830bcc8a03f2f7d4b9c.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"83c57efc02d74c7687bcbe62b06b5245.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"330d96fde0644196bc9a87276782b1f0.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"19e2e5ad971a4bf4af25d2b62b428854.jpg",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"26b333ce54724623aeb1d83f68b4b512.png",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"3734093298344d09834fd4897100530f.png",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190527/"
"8005c7f2b69a4111ad5351c5dec8f022.png",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"8800fb7a237740779f17b8ac57defa57.png",
"https://edu-test-1255999742.file.myqcloud.com/portrait/20190524/"
"4b3f7fdef342445fb2941dbb15a7eed0.jpg"
]
return work_picture_list
def turtle_code():
code = """import turtle
t = turtle.Turtle()
screen = turtle.Screen()
screen.bgpic('userupload/sucai/3702/20200218/58eb54f9753d1.jpg')
t.begin_fill()
turtle.colormode(255)
t.forward(150)
t.right(90)
t.forward(170)
t.right(90)
t.forward(150)
t.right(90)
t.forward(170)
t.fillcolor(250, 255, 230)
t.end_fill()
t.right(30)
t.begin_fill()
t.fillcolor(255, 120, 60)
t.forward(150)
t.right(120)
t.forward(150)
t.end_fill()
print('abc')"""
return code
def wrong_code():
code = "import turtle\n\n" \
"t = turtle.Turtle()\n" \
"t.forward(150)\n" \
"print(abc)\n"
return code
def pygame_code():
code = """import pygame
from pygame.locals import *
background_image = 'userupload/sucai/3702/20200118/bgimg.jpg'
mouse_image = 'userupload/sucai/3702/20200224/Snipaste_2019-07-23_17-44-01.png'
pygame.init()
screen = pygame.display.set_mode((640, 480), 0, 32)
pygame.display.set_caption('hello world')
background = pygame.image.load(background_image)
mouse_cursor = pygame.image.load(mouse_image)
while True:
screen.blit(background, (0, 0))
x, y = pygame.mouse.get_pos()
x -= mouse_cursor.get_width()/2
y -= mouse_cursor.get_height()/2
screen.blit(mouse_cursor, (x, y))
pygame.display.update()
"""
return code
def multiple_files_code(file_name, content):
main_code = f"from {file_name} import hello\n\na = hello()\nprint(a)\n\n"
file_code = f"def hello():\n s = '{content}'\n\n return s"
return main_code, file_code
def three_dimensional_code():
code = """import cadquery as cq
model = cq.Workplane("XY")
model = model.box(10, 20, 30)
show_model(model, cq)
"""
return code
def robot_code():
code = 'import robot\n\n' \
'r=robot.robot()\n' \
'r.up(1)\n' \
'r.nod(1)\n'
return code
| 29.738462 | 79 | 0.684946 | 472 | 3,866 | 5.516949 | 0.275424 | 0.046083 | 0.069124 | 0.126728 | 0.387481 | 0.378264 | 0.378264 | 0.378264 | 0.378264 | 0.37212 | 0 | 0.219633 | 0.167356 | 3,866 | 129 | 80 | 29.968992 | 0.589313 | 0 | 0 | 0.333333 | 0 | 0.009524 | 0.738489 | 0.265391 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07619 | false | 0 | 0.066667 | 0 | 0.219048 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
636523433092fd9b10c0e40ebaf99ca55bc863c6 | 3,174 | py | Python | contrib/play/tripler.py | Rosencrantz/aleph | 47ac45fa72607e1ab16c7c30690013a7d00be116 | [
"MIT"
] | 1,213 | 2017-03-15T08:10:52.000Z | 2022-03-29T13:57:44.000Z | contrib/play/tripler.py | Rosencrantz/aleph | 47ac45fa72607e1ab16c7c30690013a7d00be116 | [
"MIT"
] | 1,374 | 2017-03-14T18:23:10.000Z | 2022-03-31T18:42:20.000Z | contrib/play/tripler.py | Rosencrantz/aleph | 47ac45fa72607e1ab16c7c30690013a7d00be116 | [
"MIT"
] | 217 | 2017-03-17T12:04:22.000Z | 2022-03-20T11:17:16.000Z | from banal import ensure_list
from rdflib import Namespace, ConjunctiveGraph, URIRef, Literal
from rdflib.namespace import FOAF, DC, RDF, RDFS, SKOS
from followthemoney import model
from pprint import pprint
from elasticsearch import Elasticsearch
from elasticsearch.helpers import scan
es = Elasticsearch()
collection_index = "aleph-collection-v1"
entity_index = "aleph-entity-v1"
HOST = "https://data.occrp.org"
ALEPH = Namespace("%s/#/ns/" % HOST)
FTM = Namespace("urn:ftm:")
SCHEMA = Namespace("%s/#/ftm/" % HOST)
def export_entity(ctx, entity):
g = ConjunctiveGraph()
if "Document" in entity["schemata"]:
uri = URIRef("%s/documents/%s" % (HOST, entity["id"]))
if entity.get("title"):
g.add((uri, DC.title, Literal(entity.get("title")), ctx))
g.add((uri, ALEPH.fileName, Literal(entity.get("file_name")), ctx))
g.add((uri, ALEPH.mimeType, Literal(entity.get("mime_type")), ctx))
# TODO DC dates, author etc.
# parent
else:
uri = URIRef("%s/entities/%s" % (HOST, entity["id"]))
if entity.get("name"):
g.add((uri, SKOS.prefLabel, Literal(entity.get("name")), ctx))
for name in entity.get("names", []):
g.add((uri, RDFS.label, Literal(name), ctx))
for schema in entity["schemata"]:
g.add((uri, RDF.type, FTM[schema], ctx))
for country in entity.get("countries", []):
if len(country) != 2:
continue
country = URIRef("iso-3166-1:%s" % country)
g.add((uri, ALEPH.country, country, ctx))
for phone in entity.get("phones", []):
phone = URIRef("tel:%s" % phone)
g.add((uri, ALEPH.phone, phone, ctx))
for email in entity.get("emails", []):
email = URIRef("mailto:%s" % email)
g.add((uri, ALEPH.email, email, ctx))
schema = model[entity["schema"]]
properties = entity.get("properties", {})
for name, values in properties.items():
prop = schema.get(name)
pred = "%s#%s" % (prop.schema.name, name)
pred = FTM[pred]
for value in ensure_list(values):
g.add((uri, pred, Literal(value), ctx))
print g.serialize(format="nquads")
def export_collection(collection):
g = ConjunctiveGraph()
domain = URIRef(HOST)
ctx = URIRef("%s/collections/%s" % (HOST, collection["id"]))
g.add((ctx, RDFS.label, Literal(collection["label"]), domain))
g.add((ctx, ALEPH.foreignId, Literal(collection["foreign_id"]), domain))
# print g.serialize(format='nquads')
# pprint(collection)
q = {
"query": {"term": {"collection_id": collection["id"]}},
"_source": {"exclude": ["text"]},
}
for row in scan(es, index=entity_index, query=q):
entity = row["_source"]
entity["id"] = row["_id"]
export_entity(ctx, entity)
def export_collections():
q = {"query": {"match_all": {}}, "size": 9999}
res = es.search(index=collection_index, body=q)
for hit in res["hits"]["hits"]:
collection = hit["_source"]
collection["id"] = hit["_id"]
export_collection(collection)
if __name__ == "__main__":
export_collections()
| 33.0625 | 76 | 0.60586 | 400 | 3,174 | 4.7325 | 0.2825 | 0.025357 | 0.036978 | 0.031696 | 0.069731 | 0.025357 | 0.025357 | 0 | 0 | 0 | 0 | 0.00485 | 0.220542 | 3,174 | 95 | 77 | 33.410526 | 0.760307 | 0.02741 | 0 | 0.027397 | 0 | 0 | 0.126217 | 0 | 0 | 0 | 0 | 0.010526 | 0 | 0 | null | null | 0 | 0.09589 | null | null | 0.027397 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
639374a2fec0e28ae70c8723b9cd6213ed48136a | 1,954 | py | Python | misc_utils.py | MurreyCode/pytorch_deep_reinforcement_learning | ff084cf61224c6abeda4848f892d14c61e3b470d | [
"MIT"
] | null | null | null | misc_utils.py | MurreyCode/pytorch_deep_reinforcement_learning | ff084cf61224c6abeda4848f892d14c61e3b470d | [
"MIT"
] | null | null | null | misc_utils.py | MurreyCode/pytorch_deep_reinforcement_learning | ff084cf61224c6abeda4848f892d14c61e3b470d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from collections import namedtuple
import random
Transition = namedtuple('Transition',
('state', 'action', 'next_state', 'reward', 'done'))
# courtesy of the torch tutorial <3
import numpy as np
def one_hot(a, num_classes):
return np.squeeze(np.eye(num_classes)[a.reshape(-1)])
class Memory(object):
def __init__(self, capacity):
self.capacity = capacity
self.memory = []
self.position = 0
def push(self, *args):
"""Saves a transition."""
if len(self.memory) < self.capacity:
self.memory.append(None)
self.memory[self.position] = Transition(*args)
self.position = (self.position + 1) % self.capacity
def sample(self, batch_size):
return random.sample(self.memory, batch_size)
def __len__(self):
return len(self.memory)
class LinearSchedule(object):
def __init__(self, schedule_timesteps, final_p, initial_p=1.0):
"""Linear interpolation between initial_p and final_p over
schedule_timesteps. After this many timesteps pass final_p is
returned.
Parameters
----------
schedule_timesteps: int
Number of timesteps for which to linearly anneal initial_p
to final_p
initial_p: float
initial output value
final_p: float
final output value
"""
self.schedule_timesteps = schedule_timesteps
self.final_p = final_p
self.initial_p = initial_p
self.p = self.initial_p
@property
def value(self):
return self.p
def reset(self):
self.p = self.initial_p
def update(self, t):
"""See Schedule.value"""
if self.p > self.final_p:
fraction = min(float(t) / self.schedule_timesteps, 1.0)
self.p = self.initial_p + fraction * (self.final_p - self.initial_p)
| 26.767123 | 80 | 0.611566 | 244 | 1,954 | 4.721311 | 0.372951 | 0.069444 | 0.052083 | 0.056424 | 0.075521 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006415 | 0.281986 | 1,954 | 72 | 81 | 27.138889 | 0.814683 | 0.229273 | 0 | 0.055556 | 0 | 0 | 0.029475 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.083333 | 0.111111 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
63a2dad53d571759e226d5c99caad8f989042557 | 979 | py | Python | tests/test_open_selecter_view.py | anosillus/thank-you_letter_generator | cfa650e0708fe5c594b7165276eecaa22e31aca5 | [
"MIT"
] | null | null | null | tests/test_open_selecter_view.py | anosillus/thank-you_letter_generator | cfa650e0708fe5c594b7165276eecaa22e31aca5 | [
"MIT"
] | null | null | null | tests/test_open_selecter_view.py | anosillus/thank-you_letter_generator | cfa650e0708fe5c594b7165276eecaa22e31aca5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File name: test_open_selecter_view.py
# First Edit: 2021-03-25
# Last Change: 2021-03-25
__description__ = ""
__author__ = "@anosillus"
__license__ = "MIT"
__email__ = "anosillus@gmail.com"
__status__ = "Production"
import logging
import itertools
import os
from collections import Counter
from dataclasses import dataclass
from typing import Callable
from typing import Final
from typing import NamedTuple
from typing import TypedDict
from typing import Union
from logzero import logger
import logzero
from logzero import setup_logger
from src.log_settings import DEFAULT_LOG_SETTINGS
from src.open_selecter_view import *
logger = setup_logger(name=__name__, **DEFAULT_LOG_SETTINGS)
logzero.loglevel(logging.INFO)
def test_main():
assert 5 == 5
logger.debug("hello")
logger.info("info")
logger.warning("warning")
logger.error("error")
# vim: ft=python ts=4 sw=4 sts=4 tw=88 fenc=utf-8 ff=unix si et:
| 21.755556 | 64 | 0.759959 | 142 | 979 | 4.978873 | 0.535211 | 0.070721 | 0.113154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029869 | 0.145046 | 979 | 44 | 65 | 22.25 | 0.814815 | 0.194076 | 0 | 0 | 0 | 0 | 0.08046 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 1 | 0.035714 | false | 0 | 0.535714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
63a4d1764f11470ace0a0b5e26791a6fa519b58b | 429 | py | Python | config.py | Alissonfelipe1234/atrium | 7fcbd994dbedda7bbdbce8ab7ca5d1b178e72940 | [
"MIT"
] | null | null | null | config.py | Alissonfelipe1234/atrium | 7fcbd994dbedda7bbdbce8ab7ca5d1b178e72940 | [
"MIT"
] | null | null | null | config.py | Alissonfelipe1234/atrium | 7fcbd994dbedda7bbdbce8ab7ca5d1b178e72940 | [
"MIT"
] | null | null | null | import os
from os import environ
class Config(object):
basedir = os.path.abspath(os.path.dirname(__file__))
SECRET_KEY = 'key'
class ProductionConfig(Config):
DEBUG = False
SESSION_COOKIE_HTTPONLY = True
REMEMBER_COOKIE_HTTPONLY = True
REMEMBER_COOKIE_DURATION = 3600
class DebugConfig(Config):
DEBUG = True
config_dict = {
'Production': ProductionConfig,
'Debug': DebugConfig
}
| 16.5 | 59 | 0.703963 | 48 | 429 | 6.041667 | 0.5625 | 0.041379 | 0.124138 | 0.17931 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011834 | 0.212121 | 429 | 25 | 60 | 17.16 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0.041958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
63a79af1220c6999b725178a5d6bffd25f53f71c | 1,477 | py | Python | mypyc/test/test_rarray.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | mypyc/test/test_rarray.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | mypyc/test/test_rarray.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | """Unit tests for RArray types."""
import unittest
from mypyc.common import PLATFORM_SIZE
from mypyc.ir.rtypes import (
RArray, int_rprimitive, bool_rprimitive, compute_rtype_alignment, compute_rtype_size
)
class TestRArray(unittest.TestCase):
def test_basics(self) -> None:
a = RArray(int_rprimitive, 10)
assert a.item_type == int_rprimitive
assert a.length == 10
def test_str_conversion(self) -> None:
a = RArray(int_rprimitive, 10)
assert str(a) == 'int[10]'
assert repr(a) == '<RArray <RPrimitive builtins.int>[10]>'
def test_eq(self) -> None:
a = RArray(int_rprimitive, 10)
assert a == RArray(int_rprimitive, 10)
assert a != RArray(bool_rprimitive, 10)
assert a != RArray(int_rprimitive, 9)
def test_hash(self) -> None:
assert hash(RArray(int_rprimitive, 10)) == hash(RArray(int_rprimitive, 10))
assert hash(RArray(bool_rprimitive, 5)) == hash(RArray(bool_rprimitive, 5))
def test_alignment(self) -> None:
a = RArray(int_rprimitive, 10)
assert compute_rtype_alignment(a) == PLATFORM_SIZE
b = RArray(bool_rprimitive, 55)
assert compute_rtype_alignment(b) == 1
def test_size(self) -> None:
a = RArray(int_rprimitive, 9)
assert compute_rtype_size(a) == 9 * PLATFORM_SIZE
b = RArray(bool_rprimitive, 3)
assert compute_rtype_size(b) == 3
| 34.348837 | 89 | 0.635748 | 189 | 1,477 | 4.756614 | 0.243386 | 0.159066 | 0.211346 | 0.155729 | 0.467186 | 0.347052 | 0.242492 | 0.200222 | 0.082314 | 0 | 0 | 0.029091 | 0.255247 | 1,477 | 42 | 90 | 35.166667 | 0.788182 | 0.018957 | 0 | 0.125 | 0 | 0 | 0.03212 | 0 | 0 | 0 | 0 | 0 | 0.40625 | 1 | 0.1875 | false | 0 | 0.09375 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
63b4838b841b5b36941643a2f1d485634336192e | 334 | py | Python | vcflat/__main__.py | arontommi/VCFlat | f707d8e564ec30c65e063eea305aa30cf698cc86 | [
"MIT"
] | 4 | 2019-11-29T12:59:12.000Z | 2020-01-28T15:30:44.000Z | vcflat/__main__.py | arontommi/VCFlat | f707d8e564ec30c65e063eea305aa30cf698cc86 | [
"MIT"
] | 1 | 2022-01-04T22:58:58.000Z | 2022-01-04T22:58:58.000Z | vcflat/__main__.py | arontommi/VCFlat | f707d8e564ec30c65e063eea305aa30cf698cc86 | [
"MIT"
] | 1 | 2020-01-28T15:31:29.000Z | 2020-01-28T15:31:29.000Z | import sys
from vcflat.cli import vcflat as cli
"""
vcfflat.__main__
~~~~~~~~~~~~~~~~~~~~~
The main entry point for the command line interface.
Invoke as ``vcflat`` (if installed)
or ``python -m vcflat`` (no install required).
"""
if __name__ == "__main__":
# exit using whatever exit code the CLI returned
sys.exit(cli())
| 20.875 | 52 | 0.661677 | 46 | 334 | 4.543478 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173653 | 334 | 15 | 53 | 22.266667 | 0.757246 | 0.137725 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
63b542041f855d909d6bb04c7c77bcc1d0fa8d3b | 116 | py | Python | yolooverlay.py | shyamsunder0072/CensorLabel | 5075c227012b0955e4ff7968c59ef626561470e2 | [
"MIT"
] | 1 | 2020-05-12T05:39:29.000Z | 2020-05-12T05:39:29.000Z | yolooverlay.py | shyamsunder0072/CensorLabel | 5075c227012b0955e4ff7968c59ef626561470e2 | [
"MIT"
] | null | null | null | yolooverlay.py | shyamsunder0072/CensorLabel | 5075c227012b0955e4ff7968c59ef626561470e2 | [
"MIT"
] | null | null | null | path = 'home/sample.mp4'
akhil = []
akhil = path.split(".")
video = akhil[0].split("/")
print(video[len(video)-1]) | 16.571429 | 27 | 0.612069 | 17 | 116 | 4.176471 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029412 | 0.12069 | 116 | 7 | 28 | 16.571429 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.145299 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
891fc98462e0b352b66162bf9e6b62fe37f65276 | 27,491 | py | Python | pysnmp-with-texts/HPN-ICF-FC-PSM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/HPN-ICF-FC-PSM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/HPN-ICF-FC-PSM-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HPN-ICF-FC-PSM-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-FC-PSM-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:38:51 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint")
HpnicfFcNameIdOrZero, = mibBuilder.importSymbols("HPN-ICF-FC-TC-MIB", "HpnicfFcNameIdOrZero")
hpnicfSan, = mibBuilder.importSymbols("HPN-ICF-VSAN-MIB", "hpnicfSan")
ifDescr, InterfaceIndexOrZero, InterfaceIndex = mibBuilder.importSymbols("IF-MIB", "ifDescr", "InterfaceIndexOrZero", "InterfaceIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Counter64, NotificationType, Bits, Gauge32, Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, MibIdentifier, IpAddress, TimeTicks, Integer32, ModuleIdentity, iso, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "NotificationType", "Bits", "Gauge32", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "MibIdentifier", "IpAddress", "TimeTicks", "Integer32", "ModuleIdentity", "iso", "Counter32")
TruthValue, RowStatus, TextualConvention, TimeStamp, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TruthValue", "RowStatus", "TextualConvention", "TimeStamp", "DisplayString")
hpnicfFcPsm = ModuleIdentity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8))
hpnicfFcPsm.setRevisions(('2013-10-17 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: hpnicfFcPsm.setRevisionsDescriptions(('HPN-ICF-FC-PSM-MIB module is for managing the implementation of FC port security.',))
if mibBuilder.loadTexts: hpnicfFcPsm.setLastUpdated('201310170000Z')
if mibBuilder.loadTexts: hpnicfFcPsm.setOrganization('')
if mibBuilder.loadTexts: hpnicfFcPsm.setContactInfo('')
if mibBuilder.loadTexts: hpnicfFcPsm.setDescription('This MIB contains the objects for FC port security.')
hpnicfFcPsmNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 0))
hpnicfFcPsmObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1))
hpnicfFcPsmScalarObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 1))
hpnicfFcPsmConfiguration = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2))
hpnicfFcPsmStats = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3))
class HpnicfFcPsmPortBindDevType(TextualConvention, Integer32):
description = 'The types of the instance of hpnicfFcPsmLoginDev, including nWWN(Node World Wide Name), pWWN(Port World Wide Name), sWWN(Switch World Wide Name), and wildCard.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))
namedValues = NamedValues(("nWWN", 1), ("pWWN", 2), ("sWWN", 3), ("wildCard", 4))
class HpnicfFcPsmClearEntryType(TextualConvention, Integer32):
description = 'This object when set to clearStatic, results in port bind static entries being cleared on this VSAN(Virtual Storage Area Networks). This object when set to clearAutoLearn, results in port bind auto-learnt entries being cleared on this VSAN. This object when set to clearAll, results in all of the port bind entries being cleared on this VSAN. No action is taken if this object is set to noop. The value of this object when read is always noop.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))
namedValues = NamedValues(("clearStatic", 1), ("clearAutoLearn", 2), ("clearAll", 3), ("noop", 4))
hpnicfFcPsmNotifyEnable = MibScalar((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 1, 1), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmNotifyEnable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmNotifyEnable.setDescription('Whether to generate the notification or not depends on the object.')
hpnicfFcPsmEnableTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 1), )
if mibBuilder.loadTexts: hpnicfFcPsmEnableTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnableTable.setDescription('Enable or disable the port security feature on a specified VSAN.')
hpnicfFcPsmEnableEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 1, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmEnableEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnableEntry.setDescription('Detailed information about the port security.')
hpnicfFcPsmEnableVsanIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4095)))
if mibBuilder.loadTexts: hpnicfFcPsmEnableVsanIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnableVsanIndex.setDescription('The ID of VSAN on this entry.')
hpnicfFcPsmEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("enable", 1), ("enableWithAutoLearn", 2), ("disable", 3), ("noop", 4))).clone('noop')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmEnable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnable.setDescription('When set to enable, the port security is on, the value of hpnicfFcPsmEnableState will be true. When set to enableWithAutoLearn, the port security is on with auto-learning, the value of hpnicfFcPsmEnableState will be true. When set to disable, the port security is off, the value of hpnicfFcPsmEnableState will be false. The noop means no action. The value of this object when read is always noop.')
hpnicfFcPsmEnableState = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 1, 1, 3), TruthValue().clone('false')).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmEnableState.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnableState.setDescription('The state of the port security. When the value is true, it means the port security is on, while the false means the port security is off.')
hpnicfFcPsmConfigTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2), )
if mibBuilder.loadTexts: hpnicfFcPsmConfigTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmConfigTable.setDescription('A table that contains the configured entries.')
hpnicfFcPsmConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"), (0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmConfigEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmConfigEntry.setDescription('Detailed information about each configuration.')
hpnicfFcPsmIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 32768)))
if mibBuilder.loadTexts: hpnicfFcPsmIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmIndex.setDescription('The index of this entry.')
hpnicfFcPsmLoginDevType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1, 2), HpnicfFcPsmPortBindDevType()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfFcPsmLoginDevType.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginDevType.setDescription('This represents the type of the instance of hpnicfFcPsmLoginDev, which includes nWWN, pWWN, sWWN, and wildCard.')
hpnicfFcPsmLoginDev = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1, 3), HpnicfFcNameIdOrZero()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfFcPsmLoginDev.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginDev.setDescription('The logging-in device name, which is decided by the hpnicfFcPsmLoginDevType object. It represents node WWN when the value of hpnicfFcPsmLoginDevType is nWWN. It represents port WWN when the value of hpnicfFcPsmLoginDevType is pWWN. It represents switch WWN when the value of hpnicfFcPsmLoginDevType is sWWN. It represents any device when the value of hpnicfFcPsmLoginDevType is wildCard, and the value of the instance of this object should be zero-length string. The value of this object should not be invalid when hpnicfFcPsmRowStatus is set to createAndGo or active.')
hpnicfFcPsmLoginPoint = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1, 4), InterfaceIndexOrZero()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfFcPsmLoginPoint.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginPoint.setDescription('The address of the port on the local switch through which the instance of hpnicfFcPsmLoginDev can log in. It represents ifindex when the value is not zero. It represents any port when the value is zero.')
hpnicfFcPsmRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 2, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfFcPsmRowStatus.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmRowStatus.setDescription('Entry status. When creating a new instance of this table, the following objects should be set simultaneously: hpnicfFcPsmLoginDevType, h3cFcPsmLoginDev, hpnicfFcPsmLoginPoint, hpnicfFcPsmRowStatus. If hpnicfFcPsmLoginDevType is set to wildCard, the value of the instance of hpnicfFcPsmLoginDev should be zero-length string. The value of hpnicfFcPsmLoginDevType and hpnicfFcPsmLoginPoint cannot be set to wildCard and zero at the same time.')
hpnicfFcPsmEnfTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3), )
if mibBuilder.loadTexts: hpnicfFcPsmEnfTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfTable.setDescription('The FC port security enforced table. It contains not only the configured policies, but also the learning ones learnt by the switch itself.')
hpnicfFcPsmEnfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"), (0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnfIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmEnfEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfEntry.setDescription('Detailed information about the FC port security enforced policy.')
hpnicfFcPsmEnfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 32768)))
if mibBuilder.loadTexts: hpnicfFcPsmEnfIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfIndex.setDescription('The index of this entry.')
hpnicfFcPsmEnfLoginDevType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1, 2), HpnicfFcPsmPortBindDevType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginDevType.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginDevType.setDescription('This represents the type of the instance of hpnicfFcPsmEnfLoginDev, which includes nWWN, pWWN, sWWN, and wildCard.')
hpnicfFcPsmEnfLoginDev = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1, 3), HpnicfFcNameIdOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginDev.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginDev.setDescription('The logging-in device name, which is decided by the hpnicfFcPsmEnfLoginDevType object. It represents node WWN when the value of hpnicfFcPsmEnfLoginDevType is nWWN. It represents port WWN when the value of hpnicfFcPsmEnfLoginDevType is pWWN. It represents switch WWN when the value of hpnicfFcPsmEnfLoginDevType is sWWN. It represents any device when the value of hpnicfFcPsmEnfLoginDevType is wildCard, and the value of the instance of this object should be zero-length string.')
hpnicfFcPsmEnfLoginPoint = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1, 4), InterfaceIndexOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginPoint.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfLoginPoint.setDescription('The address of the port on the local switch through which the instance of hpnicfFcPsmEnfLoginDev can log in. It represents ifindex when the value is not zero. It represents any port when the value is zero.')
hpnicfFcPsmEnfEntryType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 3, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("learning", 1), ("learnt", 2), ("static", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmEnfEntryType.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEnfEntryType.setDescription('When the value is learning, it represents the entry is learnt by the switch itself temporarily and will be deleted when the device log out. When the value is learnt, it represents the entry is learnt by the switch permanently. When the value is static, it represents the entry is configured.')
hpnicfFcPsmCopyToConfigTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 4), )
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfigTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfigTable.setDescription('Specifies whether to copy the entries from enforced table to the ones on configured table.')
hpnicfFcPsmCopyToConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 4, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfigEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfigEntry.setDescription('Detailed information about the operation.')
hpnicfFcPsmCopyToConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 4, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("copy", 1), ("noop", 2))).clone('noop')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfig.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmCopyToConfig.setDescription('When the object is set to copy, the learned entries will be copied on to the configured table on this VSAN, while the noop means no operation. The value of this object when read is always noop.')
hpnicfFcPsmAutoLearnTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 5), )
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnTable.setDescription('This table shows whether the auto-learning is enabled or not on specific VSANs.')
hpnicfFcPsmAutoLearnEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 5, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnEntry.setDescription('Detailed information about the auto-learning.')
hpnicfFcPsmAutoLearnEnable = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 5, 1, 1), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnEnable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmAutoLearnEnable.setDescription('This object is set to true to enable, or false to disable auto-learning on the local switch. When set to true, the switch can learn the devices that have already logged in as learning entries on the enforced table, while the false can stop the learning operation with the learning entries transformed to learnt ones.')
hpnicfFcPsmClearTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 6), )
if mibBuilder.loadTexts: hpnicfFcPsmClearTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmClearTable.setDescription('This table is used for cleaning specific entries in enforced table.')
hpnicfFcPsmClearEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 6, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmClearEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmClearEntry.setDescription('Detailed information about the cleaning options.')
hpnicfFcPsmClearType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 6, 1, 1), HpnicfFcPsmClearEntryType().clone('noop')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmClearType.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmClearType.setDescription('This object when set to clearStatic, results in port bind static entries being cleared on this VSAN. This object when set to clearAutoLearn, results in auto-learnt entries being cleared on this VSAN. This object when set to clearAll, results in all of the port bind entries being cleared on this VSAN. No action is taken if this object is set to noop. The value of this object when read is always noop.')
hpnicfFcPsmClearIntf = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 2, 6, 1, 2), InterfaceIndexOrZero()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmClearIntf.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmClearIntf.setDescription('The object specifies the interface on which the entries will be cleared. If the object is zero or not set, it means the specified entries on all interfaces will be cleared.')
hpnicfFcPsmStatsTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 1), )
if mibBuilder.loadTexts: hpnicfFcPsmStatsTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmStatsTable.setDescription('This table contains statistics of devices, which had been allowed or denied to log into the switch.')
hpnicfFcPsmStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 1, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmStatsEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmStatsEntry.setDescription('Detailed information about the statistics.')
hpnicfFcPsmAllowedLogins = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 1, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmAllowedLogins.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmAllowedLogins.setDescription('The number of requests that have been allowed on the specified VSAN.')
hpnicfFcPsmDeniedLogins = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 1, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmDeniedLogins.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmDeniedLogins.setDescription('The number of requests that have been denied on the specified VSAN.')
hpnicfFcPsmStatsClear = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("clear", 1), ("noop", 2))).clone('noop')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfFcPsmStatsClear.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmStatsClear.setDescription('The statistics on this VSAN will be cleared if this object is set to clear. No action is taken if this object is set to noop. The value of this object when read is always noop.')
hpnicfFcPsmViolationTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2), )
if mibBuilder.loadTexts: hpnicfFcPsmViolationTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmViolationTable.setDescription('This table maintains the information about the violations happened, containing at most 1024 items. When the number exceeds 1024, the earliest item will be over-written.')
hpnicfFcPsmViolationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1), ).setIndexNames((0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmEnableVsanIndex"), (0, "HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmViolationIndex"))
if mibBuilder.loadTexts: hpnicfFcPsmViolationEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmViolationEntry.setDescription('Detailed information about the violation.')
hpnicfFcPsmViolationIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024)))
if mibBuilder.loadTexts: hpnicfFcPsmViolationIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmViolationIndex.setDescription('The index of this entry. The entry is uniquely distinguished by WWN, WWN type and ifindex where the login was denied.')
hpnicfFcPsmLoginPWWN = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 2), HpnicfFcNameIdOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginPWWN.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginPWWN.setDescription('The pWWN of the device whose FLOGI(Fabric Login) request had been denied. If the device is an n-node, the value of the instance of hpnicfFcPsmLoginSWWN should be zero-length string.')
hpnicfFcPsmLoginNWWN = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 3), HpnicfFcNameIdOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginNWWN.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginNWWN.setDescription('The nWWN of the device whose FLOGI request had been denied. If the device is an n-node, the value of the instance of hpnicfFcPsmLoginSWWN should be zero-length string.')
hpnicfFcPsmLoginSWWN = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 4), HpnicfFcNameIdOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginSWWN.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginSWWN.setDescription('The sWWN of the device whose FLOGI request had been denied. If the device is a switch, the values of the instance of hpnicfFcPsmLoginPWWN and hpnicfFcPsmLoginNWWN should be zero-length string.')
hpnicfFcPsmLoginIntf = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 5), InterfaceIndex()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginIntf.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginIntf.setDescription('The ifindex of the port where the login was denied.')
hpnicfFcPsmLoginTime = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 6), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginTime.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginTime.setDescription('Specifies the value of SysUpTime when the last denied login happened.')
hpnicfFcPsmLoginCount = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 1, 3, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfFcPsmLoginCount.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmLoginCount.setDescription('The number of times for a certain nWWN/pWWN or sWWN had been denied to log into an interface of the local device.')
hpnicfFcPsmFPortDenyNotify = NotificationType((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 0, 1)).setObjects(("IF-MIB", "ifDescr"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginPWWN"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginIntf"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginTime"))
if mibBuilder.loadTexts: hpnicfFcPsmFPortDenyNotify.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmFPortDenyNotify.setDescription('Notifies that a FLOGI is denied on an F port of the local device.')
hpnicfFcPsmEPortDenyNotify = NotificationType((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 127, 8, 0, 2)).setObjects(("IF-MIB", "ifDescr"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginSWWN"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginIntf"), ("HPN-ICF-FC-PSM-MIB", "hpnicfFcPsmLoginTime"))
if mibBuilder.loadTexts: hpnicfFcPsmEPortDenyNotify.setStatus('current')
if mibBuilder.loadTexts: hpnicfFcPsmEPortDenyNotify.setDescription('Notifies that a switch is denied on an E port of the local device.')
mibBuilder.exportSymbols("HPN-ICF-FC-PSM-MIB", hpnicfFcPsmClearIntf=hpnicfFcPsmClearIntf, hpnicfFcPsmStats=hpnicfFcPsmStats, hpnicfFcPsmClearType=hpnicfFcPsmClearType, hpnicfFcPsmLoginDevType=hpnicfFcPsmLoginDevType, hpnicfFcPsmClearTable=hpnicfFcPsmClearTable, hpnicfFcPsmEnfIndex=hpnicfFcPsmEnfIndex, hpnicfFcPsmConfiguration=hpnicfFcPsmConfiguration, hpnicfFcPsmStatsTable=hpnicfFcPsmStatsTable, hpnicfFcPsmConfigTable=hpnicfFcPsmConfigTable, hpnicfFcPsmEnable=hpnicfFcPsmEnable, hpnicfFcPsmLoginPWWN=hpnicfFcPsmLoginPWWN, hpnicfFcPsmEnfTable=hpnicfFcPsmEnfTable, hpnicfFcPsmLoginTime=hpnicfFcPsmLoginTime, hpnicfFcPsmEnfLoginPoint=hpnicfFcPsmEnfLoginPoint, hpnicfFcPsmClearEntry=hpnicfFcPsmClearEntry, hpnicfFcPsmIndex=hpnicfFcPsmIndex, HpnicfFcPsmPortBindDevType=HpnicfFcPsmPortBindDevType, hpnicfFcPsmCopyToConfigEntry=hpnicfFcPsmCopyToConfigEntry, hpnicfFcPsmLoginNWWN=hpnicfFcPsmLoginNWWN, hpnicfFcPsm=hpnicfFcPsm, hpnicfFcPsmAutoLearnTable=hpnicfFcPsmAutoLearnTable, hpnicfFcPsmEnfEntryType=hpnicfFcPsmEnfEntryType, hpnicfFcPsmEnfLoginDevType=hpnicfFcPsmEnfLoginDevType, hpnicfFcPsmEnableVsanIndex=hpnicfFcPsmEnableVsanIndex, hpnicfFcPsmViolationTable=hpnicfFcPsmViolationTable, hpnicfFcPsmLoginPoint=hpnicfFcPsmLoginPoint, hpnicfFcPsmScalarObjects=hpnicfFcPsmScalarObjects, hpnicfFcPsmViolationIndex=hpnicfFcPsmViolationIndex, hpnicfFcPsmLoginDev=hpnicfFcPsmLoginDev, hpnicfFcPsmNotifyEnable=hpnicfFcPsmNotifyEnable, hpnicfFcPsmDeniedLogins=hpnicfFcPsmDeniedLogins, hpnicfFcPsmCopyToConfig=hpnicfFcPsmCopyToConfig, hpnicfFcPsmObjects=hpnicfFcPsmObjects, hpnicfFcPsmEnfEntry=hpnicfFcPsmEnfEntry, hpnicfFcPsmViolationEntry=hpnicfFcPsmViolationEntry, hpnicfFcPsmConfigEntry=hpnicfFcPsmConfigEntry, PYSNMP_MODULE_ID=hpnicfFcPsm, hpnicfFcPsmEnfLoginDev=hpnicfFcPsmEnfLoginDev, hpnicfFcPsmLoginIntf=hpnicfFcPsmLoginIntf, hpnicfFcPsmEnableTable=hpnicfFcPsmEnableTable, hpnicfFcPsmEnableEntry=hpnicfFcPsmEnableEntry, hpnicfFcPsmFPortDenyNotify=hpnicfFcPsmFPortDenyNotify, hpnicfFcPsmNotifications=hpnicfFcPsmNotifications, hpnicfFcPsmAutoLearnEnable=hpnicfFcPsmAutoLearnEnable, hpnicfFcPsmLoginCount=hpnicfFcPsmLoginCount, hpnicfFcPsmAllowedLogins=hpnicfFcPsmAllowedLogins, hpnicfFcPsmEnableState=hpnicfFcPsmEnableState, hpnicfFcPsmAutoLearnEntry=hpnicfFcPsmAutoLearnEntry, hpnicfFcPsmRowStatus=hpnicfFcPsmRowStatus, hpnicfFcPsmLoginSWWN=hpnicfFcPsmLoginSWWN, hpnicfFcPsmStatsEntry=hpnicfFcPsmStatsEntry, hpnicfFcPsmStatsClear=hpnicfFcPsmStatsClear, hpnicfFcPsmCopyToConfigTable=hpnicfFcPsmCopyToConfigTable, HpnicfFcPsmClearEntryType=HpnicfFcPsmClearEntryType, hpnicfFcPsmEPortDenyNotify=hpnicfFcPsmEPortDenyNotify)
| 151.049451 | 2,618 | 0.779601 | 3,474 | 27,491 | 6.168682 | 0.109672 | 0.054316 | 0.095054 | 0.009706 | 0.49692 | 0.34419 | 0.320859 | 0.3035 | 0.279841 | 0.264536 | 0 | 0.059115 | 0.105307 | 27,491 | 181 | 2,619 | 151.883978 | 0.812165 | 0.012004 | 0 | 0.023392 | 0 | 0.140351 | 0.346531 | 0.028248 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
894549937c49b6b1be8ad951fd21f0d03e9d2e51 | 15,897 | py | Python | test.py | seevibes/chromium-language-detector | b8ce61beba66b33dce52949c70036a977d0b1b50 | [
"BSD-3-Clause"
] | 3 | 2016-07-07T13:44:35.000Z | 2017-11-23T07:30:05.000Z | test.py | mzsanford/matt-chromium-compact-language-detector | 29b411abd7ed502ea5a5ca2747884cb7540deef8 | [
"BSD-3-Clause"
] | null | null | null | test.py | mzsanford/matt-chromium-compact-language-detector | 29b411abd7ed502ea5a5ca2747884cb7540deef8 | [
"BSD-3-Clause"
] | null | null | null | # coding=utf-8
# Copyright (c) 2009 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import cld
import unittest
import sys
from testData import *
VERBOSE = False
# MKM: ported from FullTests in compact_lang_det_unittest_small.cc
class TestCLD(unittest.TestCase):
langsSeen = set()
detLangsSeen = set()
def runOne(self, expectedLangName, s, shouldBeReliable=True):
if VERBOSE:
print
print 'Test: %s [%d bytes]' % (expectedLangName, len(s))
detectedLangName, detectedLangCode, isReliable, textBytesFound, details = cld.detect(s, pickSummaryLanguage=True, removeWeakMatches=False)
if VERBOSE:
print ' detected: %s' % detectedLangName
print ' reliable: %s' % (isReliable != 0)
print ' textBytes: %s' % textBytesFound
print ' details: %s' % str(details)
self.langsSeen.add(expectedLangName)
for tup in details:
self.detLangsSeen.add(tup[0])
print ' %d langs; %d ever detected' % (len(self.langsSeen), len(self.detLangsSeen))
if False:
if expectedLangName == 'YIDDISH':
l = list(self.detLangsSeen)
l.sort()
for i, name in enumerate(l):
print ' PyTuple_SET_ITEM(pyDetLangs, %d, PyString_FromString("%s"));' % (i, name)
self.assertEquals(expectedLangName, detectedLangName, '%s != %s; details: %s' % (detectedLangName, expectedLangName, str(details)))
self.assertTrue(not shouldBeReliable or isReliable)
def testAFRIKAANS(self):
self.runOne('AFRIKAANS', kTeststr_af_Latn)
# def testAFAR(self):
# self.runOne('AFAR', kTeststr_aa_Latn)
# def testABKHAZIAN(self):
# self.runOne('ABKHAZIAN', kTeststr_ab_Cyrl)
def testAMHARIC(self):
self.runOne('AMHARIC', kTeststr_am_Ethi)
def testARABIC(self):
self.runOne('ARABIC', kTeststr_ar_Arab)
# def testASSAMESE(self):
# self.runOne('ASSAMESE', kTeststr_as_Beng)
# def testAYMARA(self):
# self.runOne('AYMARA', kTeststr_ay_Latn)
# AZERBAIJANI Arab & Cyrl removed 2008.05.27. Just AZERBAIJANI Latn left
# def testAZERBAIJANI(self):
# self.runOne('AZERBAIJANI', kTeststr_az_Arab)
# Missing data: az-Cyrl
def testAZERBAIJANI2(self):
self.runOne('AZERBAIJANI', kTeststr_az_Latn)
# def testBASHKIR(self):
# self.runOne('BASHKIR', kTeststr_ba_Cyrl)
def testBELARUSIAN(self):
self.runOne('BELARUSIAN', kTeststr_be_Cyrl)
def testBULGARIAN(self):
self.runOne('BULGARIAN', kTeststr_bg_Cyrl)
# def testBIHARI(self):
# self.runOne('BIHARI', kTeststr_bh_Deva)
# def testBISLAMA(self):
# self.runOne('BISLAMA', kTeststr_bi_Latn)
def testBENGALI(self):
self.runOne('BENGALI', kTeststr_bn_Beng)
def testTIBETAN(self):
self.runOne('TIBETAN', kTeststr_bo_Tibt)
# def testBRETON(self):
# self.runOne('BRETON', kTeststr_br_Latn)
def testSERBIAN(self):
self.runOne('SERBIAN', kTeststr_bs_Cyrl) # NOTE: Not BOSNIAN
def testCROATIAN(self):
self.runOne('CROATIAN', kTeststr_bs_Latn) # NOTE: Not BOSNIAN
def testCATALAN(self):
self.runOne('CATALAN', kTeststr_ca_Latn)
def testCHEROKEE(self):
self.runOne('CHEROKEE', kTeststr_chr_Cher)
# def testCORSICAN(self):
# self.runOne('CORSICAN', kTeststr_co_Latn)
# No CREOLES_AND_PIDGINS_ENGLISH_BASED
# No CREOLES_AND_PIDGINS_FRENCH_BASED
# No CREOLES_AND_PIDGINS_OTHER
# No CREOLES_AND_PIDGINS_PORTUGUESE_BASED
def testCZECH(self):
self.runOne('CZECH', kTeststr_cs_Latn)
def testWELSH(self):
self.runOne('WELSH', kTeststr_cy_Latn)
def testDANISH(self):
self.runOne('DANISH', kTeststr_da_Latn)
def testGERMAN(self):
self.runOne('GERMAN', kTeststr_de_Latn)
def testDHIVEHI(self):
self.runOne('DHIVEHI', kTeststr_dv_Thaa)
# def testDZONGKHA(self):
# self.runOne('DZONGKHA', kTeststr_dz_Tibt)
def testGREEK(self):
self.runOne('GREEK', kTeststr_el_Grek)
def testENGLISH(self):
self.runOne('ENGLISH', kTeststr_en_Latn)
def testENGLISH2(self):
self.runOne('ENGLISH', kTeststr_en)
# def testESPERANTO(self):
# self.runOne('ESPERANTO', kTeststr_eo_Latn)
def testSPANISH(self):
self.runOne('SPANISH', kTeststr_es_Latn)
def testESTONIAN(self):
self.runOne('ESTONIAN', kTeststr_et_Latn)
def testBASQUE(self):
self.runOne('BASQUE', kTeststr_eu_Latn)
def testPERSIAN(self):
self.runOne('PERSIAN', kTeststr_fa_Arab)
def testFINNISH(self):
self.runOne('FINNISH', kTeststr_fi_Latn)
# def testFIJIAN(self):
# self.runOne('FIJIAN', kTeststr_fj_Latn)
# def testFAROESE(self):
# self.runOne('FAROESE', kTeststr_fo_Latn)
def testFRENCH(self):
self.runOne('FRENCH', kTeststr_fr_Latn)
# def testFRISIAN(self):
# self.runOne('FRISIAN', kTeststr_fy_Latn)
def testIRISH(self):
self.runOne('IRISH', kTeststr_ga_Latn)
# def testSCOTS_GAELIC(self):
# self.runOne('SCOTS_GAELIC', kTeststr_gd_Latn)
# def testGALICIAN(self):
# self.runOne('GALICIAN', kTeststr_gl_Latn)
def testGALICIAN2(self):
self.runOne('GALICIAN', kTeststr_gl_Latn2)
# def testGUARANI(self):
# self.runOne('GUARANI', kTeststr_gn_Latn)
def testGUJARATI(self):
self.runOne('GUJARATI', kTeststr_gu_Gujr)
# def testMANX(self):
# self.runOne('MANX', kTeststr_gv_Latn)
# def testHAUSA(self):
# self.runOne('HAUSA', kTeststr_ha_Latn)
def testHINDI(self):
self.runOne('HINDI', kTeststr_hi_Deva)
def testHINDI2(self):
self.runOne('HINDI', kTeststr_ks)
def testCROATIAN2(self):
self.runOne('CROATIAN', kTeststr_hr_Latn, shouldBeReliable=False) # NOTE: now CROATIAN
def testHAITIAN_CREOLE(self):
self.runOne('HAITIAN_CREOLE', kTeststr_ht_Latn)
def testHUNGARIAN(self):
self.runOne('HUNGARIAN', kTeststr_hu_Latn)
def testARMENIAN(self):
self.runOne('ARMENIAN', kTeststr_hy_Armn)
# def testINTERLINGUA(self):
# self.runOne('INTERLINGUA', kTeststr_ia_Latn)
def testMALAY(self):
self.runOne('MALAY', kTeststr_id_Latn)
# def testINTERLINGUE(self):
# self.runOne('INTERLINGUE', kTeststr_ie_Latn)
# def testINUPIAK(self):
# self.runOne('INUPIAK', kTeststr_ik_Latn)
def testICELANDIC(self):
self.runOne('ICELANDIC', kTeststr_is_Latn)
def testITALIAN(self):
self.runOne('ITALIAN', kTeststr_it_Latn)
def testINUKTITUT(self):
self.runOne('INUKTITUT', kTeststr_iu_Cans)
def testHEBREW(self):
self.runOne('HEBREW', kTeststr_iw_Hebr)
def testJAPANESE(self):
self.runOne('Japanese', kTeststr_ja_Hani)
# def testJAVANESE(self):
# self.runOne('JAVANESE', kTeststr_jw_Latn)
def testGEORGIAN(self):
self.runOne('GEORGIAN', kTeststr_ka_Geor)
# def testKHASI(self):
# self.runOne('KHASI', kTeststr_kha_Latn)
# def testKAZAKH(self):
# self.runOne('KAZAKH', kTeststr_kk_Arab)
# def testKAZAKH2(self):
# self.runOne('KAZAKH', kTeststr_kk_Cyrl)
# def testKAZAKH3(self):
# self.runOne('KAZAKH', kTeststr_kk_Latn)
# def testGREENLANDIC(self):
# self.runOne('GREENLANDIC', kTeststr_kl_Latn)
def testKHMER(self):
self.runOne('KHMER', kTeststr_km_Khmr)
def testKANNADA(self):
self.runOne('KANNADA', kTeststr_kn_Knda)
def testKOREAN(self):
self.runOne('Korean', kTeststr_ko_Hani)
# def testKASHMIRI(self):
# self.runOne('KASHMIRI', kTeststr_ks_Deva)
# KURDISH Latn removed 2008.05.27. Just KURDISH Arab left
# def testKURDISH(self):
# self.runOne('KURDISH', kTeststr_ku_Arab)
# def testKURDISH2(self):
# self.runOne('KURDISH', kTeststr_ku_Latn)
# def testKYRGYZ(self):
# self.runOne('KYRGYZ', kTeststr_ky_Arab)
# def testKYRGYZ2(self):
# self.runOne('KYRGYZ', kTeststr_ky_Cyrl)
# def testLATIN(self):
# self.runOne('LATIN', kTeststr_la_Latn)
# def testLUXEMBOURGISH(self):
# self.runOne('LUXEMBOURGISH', kTeststr_lb_Latn)
# def testGANDA(self):
# self.runOne('GANDA', kTeststr_lg_Latn)
# def testLINGALA(self):
# self.runOne('LINGALA', kTeststr_ln_Latn)
def testLAOTHIAN(self):
self.runOne('LAOTHIAN', kTeststr_lo_Laoo)
def testLITHUANIAN(self):
self.runOne('LITHUANIAN', kTeststr_lt_Latn)
def testLATVIAN(self):
self.runOne('LATVIAN', kTeststr_lv_Latn)
# def testMALAGASY(self):
# self.runOne('MALAGASY', kTeststr_mg_Latn)
# def testMAORI(self):
# self.runOne('MAORI', kTeststr_mi_Latn)
def testMACEDONIAN(self):
self.runOne('MACEDONIAN', kTeststr_mk_Cyrl)
def testMALAYALAM(self):
self.runOne('MALAYALAM', kTeststr_ml_Mlym)
# def testMONGOLIAN(self):
# self.runOne('MONGOLIAN', kTeststr_mn_Cyrl)
# def testMOLDAVIAN(self):
# self.runOne('MOLDAVIAN', kTeststr_mo_Cyrl)
# def testMARATHI(self):
# self.runOne('MARATHI', kTeststr_mr_Deva)
def testMALAY2(self):
self.runOne('MALAY', kTeststr_ms_Latn)
def testMALAY3(self):
self.runOne('MALAY', kTeststr_ms_Latn2)
def testMALAY4(self):
self.runOne('MALAY', kTeststr_ms_Latn3)
def testMALTESE(self):
self.runOne('MALTESE', kTeststr_mt_Latn)
# def testBURMESE(self):
# self.runOne('BURMESE', kTeststr_my_Latn)
def testBURMESE2(self):
self.runOne('BURMESE', kTeststr_my_Mymr)
# def testNAURU(self):
# self.runOne('NAURU', kTeststr_na_Latn)
# def testNEPALI(self):
# self.runOne('NEPALI', kTeststr_ne_Deva)
def testDUTCH(self):
self.runOne('DUTCH', kTeststr_nl_Latn)
#def testNORWEGIAN_N(self):
# self.runOne('NORWEGIAN_N', kTeststr_nn_Latn)
def testNORWEGIAN(self):
self.runOne('NORWEGIAN', kTeststr_no_Latn)
# def testOCCITAN(self):
# self.runOne('OCCITAN', kTeststr_oc_Latn)
# def testOROMO(self):
# self.runOne('OROMO', kTeststr_om_Latn)
def testORIYA(self):
self.runOne('ORIYA', kTeststr_or_Orya)
def testPUNJABI(self):
self.runOne('PUNJABI', kTeststr_pa_Guru)
def testPOLISH(self):
self.runOne('POLISH', kTeststr_pl_Latn)
# def testPASHTO(self):
# self.runOne('PASHTO', kTeststr_ps_Arab)
def testPORTUGUESE(self):
self.runOne('PORTUGUESE', kTeststr_pt_BR) # NOTE: not PORTUGUESE_B
# nor PORTUGUESE_P
# def testQUECHUA(self):
# self.runOne('QUECHUA', kTeststr_qu_Latn)
# def testRHAETO_ROMANCE(self):
# self.runOne('RHAETO_ROMANCE', kTeststr_rm_Latn)
# def testRUNDI(self):
# self.runOne('RUNDI', kTeststr_rn_Latn)
def testROMANIAN(self):
self.runOne('ROMANIAN', kTeststr_ro_Latn)
def testRUSSIAN(self):
self.runOne('RUSSIAN', kTeststr_ru_Cyrl)
# def testKINYARWANDA(self):
# self.runOne('KINYARWANDA', kTeststr_rw_Latn)
# def testSANSKRIT(self):
# self.runOne('SANSKRIT', kTeststr_sa_Deva)
# def testSANSKRIT2(self):
# self.runOne('SANSKRIT', kTeststr_sa_Latn)
# def testSCOTS(self):
# self.runOne('SCOTS', kTeststr_sco_Latn)
# def testSINDHI(self):
# self.runOne('SINDHI', kTeststr_sd_Arab)
# def testSANGO(self):
# self.runOne('SANGO', kTeststr_sg_Latn)
# No SERBO_CROATIAN (sh)
def testSINHALESE(self):
self.runOne('SINHALESE', kTeststr_si_Sinh)
# def testLIMBU(self):
# self.runOne('LIMBU', kTeststr_sit_NP)
def testSLOVAK(self):
self.runOne('SLOVAK', kTeststr_sk_Latn)
def testSLOVENIAN(self):
self.runOne('SLOVENIAN', kTeststr_sl_Latn)
# def testSAMOAN(self):
# self.runOne('SAMOAN', kTeststr_sm_Latn)
# def testSHONA(self):
# self.runOne('SHONA', kTeststr_sn_Latn)
# def testSOMALI(self):
# self.runOne('SOMALI', kTeststr_so_Latn)
def testALBANIAN(self):
self.runOne('ALBANIAN', kTeststr_sq_Latn)
def testSERBIAN2(self):
self.runOne('SERBIAN', kTeststr_sr_Cyrl) # NOTE: now SERBIAN
def testCROATIAN3(self):
self.runOne('CROATIAN', kTeststr_sr_Latn) # NOTE: Not SERBIAN
def testCROATIAN4(self):
self.runOne('CROATIAN', kTeststr_sr_ME_Latn) # NOTE: not SERBIAN nor MONTENEGRIN
# def testSISWANT(self):
# self.runOne('SISWANT', kTeststr_ss_Latn)
# def testSESOTHO(self):
# self.runOne('SESOTHO', kTeststr_st_Latn)
# def testSUNDANESE(self):
# self.runOne('SUNDANESE', kTeststr_su_Latn)
def testSWEDISH(self):
self.runOne('SWEDISH', kTeststr_sv_Latn)
def testSWAHILI(self):
self.runOne('SWAHILI', kTeststr_sw_Latn)
def testSYRIAC(self):
self.runOne('SYRIAC', kTeststr_syr_Syrc)
def testTAMIL(self):
self.runOne('TAMIL', kTeststr_ta_Taml)
def testTELUGU(self):
self.runOne('TELUGU', kTeststr_te_Telu)
# Tajik Arab removed 2008.05.27. Just Tajik Cyrl left
# def testTAJIK(self):
# self.runOne('TAJIK', kTeststr_tg_Arab)
# def testTAJIK2(self):
# self.runOne('TAJIK', kTeststr_tg_Cyrl)
def testTHAI(self):
self.runOne('THAI', kTeststr_th_Thai)
# def testTIGRINYA(self):
# self.runOne('TIGRINYA', kTeststr_ti_Ethi)
# def testTURKMEN(self):
# self.runOne('TURKMEN', kTeststr_tk_Cyrl)
# def testTURKMEN2(self):
# self.runOne('TURKMEN', kTeststr_tk_Latn)
def testTAGALOG(self):
self.runOne('TAGALOG', kTeststr_tl_Latn)
# def testTSWANA(self):
# self.runOne('TSWANA', kTeststr_tn_Latn)
# def testTONGA(self):
# self.runOne('TONGA', kTeststr_to_Latn)
def testTURKISH(self):
self.runOne('TURKISH', kTeststr_tr_Latn)
# def testTSONGA(self):
# self.runOne('TSONGA', kTeststr_ts_Latn)
# def testTATAR(self):
# self.runOne('TATAR', kTeststr_tt_Cyrl)
# def testTATAR2(self):
# self.runOne('TATAR', kTeststr_tt_Latn)
# def testTWI(self):
# self.runOne('TWI', kTeststr_tw_Latn)
# def testUIGHUR(self):
# self.runOne('UIGHUR', kTeststr_ug_Arab)
# def testUIGHUR2(self):
# self.runOne('UIGHUR', kTeststr_ug_Cyrl)
# def testUIGHUR3(self):
# self.runOne('UIGHUR', kTeststr_ug_Latn)
def testUKRAINIAN(self):
self.runOne('UKRAINIAN', kTeststr_uk_Cyrl)
def testURDU(self):
self.runOne('URDU', kTeststr_ur_Arab)
# def testUZBEK(self):
# self.runOne('UZBEK', kTeststr_uz_Arab)
# def testUZBEK2(self):
# self.runOne('UZBEK', kTeststr_uz_Cyrl)
# def testUZBEK3(self):
# self.runOne('UZBEK', kTeststr_uz_Latn)
def testVIETNAMESE(self):
self.runOne('VIETNAMESE', kTeststr_vi_Latn)
# def testVOLAPUK(self):
# self.runOne('VOLAPUK', kTeststr_vo_Latn)
# def testWOLOF(self):
# self.runOne('WOLOF', kTeststr_wo_Latn)
# def testXHOSA(self):
# self.runOne('XHOSA', kTeststr_xh_Latn)
def testYIDDISH(self):
self.runOne('YIDDISH', kTeststr_yi_Hebr)
# def testYORUBA(self):
# self.runOne('YORUBA', kTeststr_yo_Latn)
# Zhuang Hani removed 2008.05.13. Just Zhuang Latn left
# def testZHUANG(self):
# self.runOne('ZHUANG', kTeststr_za_Hani)
# def testZHUANG2(self):
# self.runOne('ZHUANG', kTeststr_za_Latn)
def testCHINESE(self):
self.runOne('Chinese', kTeststr_zh_Hani)
def testCHINESE_T(self):
self.runOne('ChineseT', kTeststr_zh_TW)
def testINDONESIAN(self):
self.runOne('INDONESIAN', kTeststr_id)
# def testZULU(self):
# self.runOne('ZULU', kTeststr_zu_Latn)
# No TG_UNKNOWN_LANGUAGE
# No UNKNOWN_LANGUAGE
if __name__ == '__main__':
unittest.main()
# Langs that claim to be covered (in compact_lang_det_generated_deltaoctachrome.cc) yet don't have test coverage or the test fails:
# GALICIAN (commented out test fails: detects spanish)
# ZHUANG (two commented out tests fail)
# LIMBU (test fails)
| 26.853041 | 142 | 0.677549 | 1,917 | 15,897 | 5.411581 | 0.33542 | 0.134953 | 0.236167 | 0.008483 | 0.135338 | 0.106034 | 0 | 0 | 0 | 0 | 0 | 0.005248 | 0.196893 | 15,897 | 591 | 143 | 26.898477 | 0.807316 | 0.442159 | 0 | 0.009901 | 0 | 0 | 0.094133 | 0.006353 | 0 | 0 | 0 | 0 | 0.009901 | 0 | null | null | 0 | 0.019802 | null | null | 0.039604 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
89558147a91c60c70fe1f9cf0585fd04213f42b7 | 189 | py | Python | Part 1/Chapter 8/exercise_8.4.py | kg55555/pypractice | 1867f001b3d2a7174ea00d7b9e2fa22e9f1877ef | [
"MIT"
] | null | null | null | Part 1/Chapter 8/exercise_8.4.py | kg55555/pypractice | 1867f001b3d2a7174ea00d7b9e2fa22e9f1877ef | [
"MIT"
] | null | null | null | Part 1/Chapter 8/exercise_8.4.py | kg55555/pypractice | 1867f001b3d2a7174ea00d7b9e2fa22e9f1877ef | [
"MIT"
] | null | null | null | def make_shirt(size='Large', message='I love Python'):
print(f"The size of the shirt is {size} and the message is {message}")
make_shirt()
make_shirt('m')
make_shirt('xs', "I'm okay")
| 27 | 74 | 0.687831 | 34 | 189 | 3.705882 | 0.529412 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 189 | 6 | 75 | 31.5 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.470899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
89630010eb6252857090251e31ea40c8f72228e9 | 899 | py | Python | info.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | info.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | info.py | moreati/ava-python | 4baa4c21dec7d31d0b6e3fcbe44ff5587cb85706 | [
"MIT"
] | null | null | null | # ava-python : A Python implementation of the AVA API
# Author: https://github.com/zefonseca/
# License MIT
import avapython
import jsrpc
caller = avapython.get_caller()
def getBlockchainID(alias):
data = {
"alias": alias
}
ret = caller("info.getBlockchainID", data)
return ret["blockchainID"]
def getNetworkID():
data = {}
ret = caller("info.getNetworkID", data)
return ret["networkID"]
def getNetworkName():
data = {}
ret = caller("info.getNetworkName", data)
return ret["networkName"]
def getNodeID():
data = {}
ret = caller("info.getNodeID", data)
return ret["nodeID"]
def getNodeVersion():
data = {}
ret = caller("info.getNodeVersion", data)
return ret["version"]
def peers():
data = {}
ret = caller("info.peers", data)
return ret["peers"] | 15.77193 | 53 | 0.591769 | 93 | 899 | 5.709677 | 0.387097 | 0.101695 | 0.146893 | 0.160075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.273637 | 899 | 57 | 54 | 15.77193 | 0.81317 | 0.112347 | 0 | 0.172414 | 0 | 0 | 0.193711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0 | 0.068966 | 0 | 0.482759 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
8968db4d72d7df7ff978b17022044e4e9637234c | 852 | py | Python | SocialAPI/TwitterAPI/ApoyoTwitter.py | garnachod/ConcursoPolicia | f123595afc697ddfa862114a228d7351e2f8fd73 | [
"Apache-2.0"
] | null | null | null | SocialAPI/TwitterAPI/ApoyoTwitter.py | garnachod/ConcursoPolicia | f123595afc697ddfa862114a228d7351e2f8fd73 | [
"Apache-2.0"
] | null | null | null | SocialAPI/TwitterAPI/ApoyoTwitter.py | garnachod/ConcursoPolicia | f123595afc697ddfa862114a228d7351e2f8fd73 | [
"Apache-2.0"
] | null | null | null | from DBbridge.ConsultasGeneral import ConsultasGeneral
class ApoyoTwitter(object):
"""docstring for ApoyoTwitter"""
def __init__(self):
super(ApoyoTwitter, self).__init__()
self.consultas = ConsultasGeneral()
def getLastTweetCollected(self, screen_name=None, identificador=-1):
if screen_name is not None:
return self.consultas.getLastTweetCollectedScreenName(screen_name)
else:
return self.consultas.getLastTweetCollectedIdentificador(identificador)
def setLastUserTweet(self, maximo, screen_name=None, identificador=-1):
if screen_name is not None:
return self.consultas.setLastTweetCollectedScreenName(screen_name, maximo)
else:
return self.consultas.setLastTweetCollectedIdentificador(identificador, maximo)
def getUserIDByScreenName(self, screen_name):
return self.consultas.getUserIDByScreenName(screen_name) | 37.043478 | 82 | 0.81338 | 87 | 852 | 7.781609 | 0.367816 | 0.118168 | 0.140325 | 0.079764 | 0.200886 | 0.200886 | 0.200886 | 0.200886 | 0.200886 | 0.200886 | 0 | 0.002621 | 0.10446 | 852 | 23 | 83 | 37.043478 | 0.884666 | 0.030516 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.058824 | 0.058824 | 0.647059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
897a66bd0f2d2688c0516b2f61538aa27928070a | 695 | py | Python | novmpy.py | j0hnBlk/NoVmpy | 2e5fe99ba3f35e973fc4c971f5da39714115248e | [
"BSD-3-Clause"
] | 187 | 2022-02-02T05:07:12.000Z | 2022-03-31T07:49:29.000Z | novmpy.py | j0hnBlk/NoVmpy | 2e5fe99ba3f35e973fc4c971f5da39714115248e | [
"BSD-3-Clause"
] | 1 | 2022-02-06T05:06:11.000Z | 2022-02-07T20:24:55.000Z | novmpy.py | j0hnBlk/NoVmpy | 2e5fe99ba3f35e973fc4c971f5da39714115248e | [
"BSD-3-Clause"
] | 32 | 2022-02-02T08:45:27.000Z | 2022-03-29T05:41:40.000Z | # idapython fix <= 7.6
# DO NOT REMOVE ME
import sys
sys.stdout.encoding = 'utf-8'
# for test
# ida_loader.load_plugin('F:/NoVmpy/novmpy.py')
import idaapi
NOVMPY_VERSION = "0.1"
class NoVmpyPlugin(idaapi.plugin_t):
flags = 0
comment = ""
help = ""
wanted_name = "NoVmpy"
wanted_hotkey = ""
def __init__(self):
super(NoVmpyPlugin, self).__init__()
def init(self):
from novmpy.ui import UIManager
self.ui = UIManager()
return idaapi.PLUGIN_KEEP
def run(self, args):
pass
def term(self):
from novmpy.handler import vm_handlers
vm_handlers.clear()
def PLUGIN_ENTRY():
return NoVmpyPlugin()
| 17.375 | 47 | 0.630216 | 89 | 695 | 4.719101 | 0.606742 | 0.057143 | 0.052381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01165 | 0.258993 | 695 | 39 | 48 | 17.820513 | 0.803884 | 0.132374 | 0 | 0 | 0 | 0 | 0.023411 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0.043478 | 0.173913 | 0.043478 | 0.73913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
897db96a565dde216ca64632c5bb30d28194b8d1 | 162 | py | Python | src/atcoder/abc012/b/sol_1.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 1 | 2021-07-11T03:20:10.000Z | 2021-07-11T03:20:10.000Z | src/atcoder/abc012/b/sol_1.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | 39 | 2021-07-10T05:21:09.000Z | 2021-12-15T06:10:12.000Z | src/atcoder/abc012/b/sol_1.py | kagemeka/competitive-programming | c70fe481bcd518f507b885fc9234691d8ce63171 | [
"MIT"
] | null | null | null | import typing
def main() -> typing.NoReturn:
n = int(input())
h, n = divmod(n, 60 ** 2)
m, s = divmod(n, 60)
print(f'{h:02}:{m:02}:{s:02}')
main() | 13.5 | 32 | 0.518519 | 29 | 162 | 2.896552 | 0.586207 | 0.166667 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08871 | 0.234568 | 162 | 12 | 33 | 13.5 | 0.58871 | 0 | 0 | 0 | 0 | 0 | 0.122699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 0.142857 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
89875b1dada22d7fa6e362f88cc1ef770f75f4db | 3,154 | py | Python | test.py | niroo96/Toy-Robot-Challenge | 72f70643a085c5c430a5ddd16ed897c4a8c37cb9 | [
"MIT"
] | null | null | null | test.py | niroo96/Toy-Robot-Challenge | 72f70643a085c5c430a5ddd16ed897c4a8c37cb9 | [
"MIT"
] | 1 | 2019-06-28T03:44:03.000Z | 2019-09-19T14:40:57.000Z | test.py | niroo96/Toy-Robot-Challenge | 72f70643a085c5c430a5ddd16ed897c4a8c37cb9 | [
"MIT"
] | null | null | null | # Code by Niroo Arjuna
from unittest import TestCase
from classes.robot import Robot
class Test(TestCase):
#Test to ensure that toy robot is placed within the board boundaries
def test_placetest(self):
robot = Robot()
robot.place(2, 2, "EAST")
self.assertEqual(robot.report(), "(2, 2, EAST)")
# more than board bounds
robot.place(1, 6, "NORTH")
self.assertNotEqual(robot.report(), "(1, 6, NORTH)")
robot.place(0, 0, "NORTH")
self.assertEqual(robot.report(), "(0, 0, NORTH)")
#Enusre that the toy robot doesn't not move out of bounds
def test_movetest(self):
robot = Robot()
robot.place(1, 2, "WEST")
robot.move()
self.assertEqual(robot.report(), "(0, 2, WEST)")
# shouldn't go more in west direction
robot.move()
self.assertEqual(robot.report(), "(0, 2, WEST)")
#Ensure that the toy robot turns right
def test_righttest(self):
robot = Robot()
robot.place(0, 3, "EAST")
# turn around full circle
robot.right()
self.assertEqual(robot.report(), "(0, 3, SOUTH)")
robot.right()
self.assertEqual(robot.report(), "(0, 3, WEST)")
robot.right()
self.assertEqual(robot.report(), "(0, 3, NORTH)")
robot.right()
self.assertEqual(robot.report(), "(0, 3, EAST)")
#Esnures that the toy robot turns left
def test_lefttest(self):
robot = Robot()
robot.place(4, 4, "EAST")
# turn around full circle
robot.left()
self.assertEqual(robot.report(), "(4, 4, NORTH)")
robot.left()
self.assertEqual(robot.report(), "(4, 4, WEST)")
robot.left()
self.assertEqual(robot.report(), "(4, 4, SOUTH)")
robot.left()
self.assertEqual(robot.report(), "(4, 4, EAST)")
#Testing example case 1
def test_example1(self):
robot = Robot()
robot.place(0, 0, "NORTH")
self.assertEqual(robot.report(), "(0, 0, NORTH)")
robot.move()
self.assertEqual(robot.report(), "(0, 1, NORTH)")
robot.report()
self.assertEqual(robot.report(), "(0, 1, NORTH)")
#Testing example case 2
def test_example2(self):
robot = Robot()
robot.place(0, 0, "NORTH")
self.assertEqual(robot.report(), "(0, 0, NORTH)")
robot.left()
self.assertEqual(robot.report(), "(0, 0, WEST)")
robot.report()
self.assertEqual(robot.report(), "(0, 0, WEST)")
#Testing example case 3
def test_example3(self):
robot = Robot()
robot.place(1, 2, "EAST")
self.assertEqual(robot.report(), "(1, 2, EAST)")
robot.move()
self.assertEqual(robot.report(), "(2, 2, EAST)")
robot.move()
self.assertEqual(robot.report(), "(3, 2, EAST)")
robot.left()
self.assertEqual(robot.report(), "(3, 2, NORTH)")
robot.move()
self.assertEqual(robot.report(), "(3, 3, NORTH)")
robot.report()
self.assertEqual(robot.report(), "(3, 3, NORTH)")
# Code by Niroo Arjuna | 25.642276 | 72 | 0.560875 | 389 | 3,154 | 4.529563 | 0.179949 | 0.174801 | 0.272418 | 0.354143 | 0.6958 | 0.645857 | 0.562997 | 0.368899 | 0.153235 | 0.106697 | 0 | 0.032527 | 0.278694 | 3,154 | 123 | 73 | 25.642276 | 0.741978 | 0.130311 | 0 | 0.6 | 0 | 0 | 0.129304 | 0 | 0 | 0 | 0 | 0 | 0.357143 | 1 | 0.1 | false | 0 | 0.028571 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
899a7d3796a351a1e7c371824cfd61394bcdb96a | 2,936 | py | Python | credentials_Test.py | Kiptoo462/Password-Locker | f579e6d2025d74618d9049549f63a8983c0cdf68 | [
"MIT"
] | null | null | null | credentials_Test.py | Kiptoo462/Password-Locker | f579e6d2025d74618d9049549f63a8983c0cdf68 | [
"MIT"
] | null | null | null | credentials_Test.py | Kiptoo462/Password-Locker | f579e6d2025d74618d9049549f63a8983c0cdf68 | [
"MIT"
] | null | null | null | import unittest
from credentials import Credentials
import pyperclip
class TestCredentials(unittest.TestCase):
def setUp(self):
'''
setup before a test is run
'''
self.new_cred = Credentials("GitHub", "kiptoovictor462.com", "Dskl321")
def tearDown(self):
'''
clear list before any test is run
'''
Credentials.cred_list = []
#check initialization
def test_init(self):
'''
check if instances initialize as expected
'''
self.assertEqual(self.new_cred.account, "GitHub")
self.assertEqual(self.new_cred.email, "kiptoovictor462.com")
self.assertEqual(self.new_cred.passlock, "Dskl321")
#7th test
def test_save_credentials(self):
'''
check if credentials can be saved
'''
self.new_cred.save_cred()
self.assertEqual(len(Credentials.cred_list),1)
#8th test_saving multiple credentials
def test_saving_multiple_creds(self):
'''
check if users can store multiple credentials
'''
self.new_cred.save_cred()
test_cred = Credentials("Twitter", "testuser","password")
test_cred.save_cred()
self.assertEqual(len(Credentials.cred_list),2)
#9th test_deleting credentials
def test_delete_credentials(self):
'''
test if you can delete credentials test
'''
self.new_cred.save_cred()
test_cred = Credentials("Twitter", "testuser","password")
test_cred.save_cred()
self.new_cred.delete_cred()
self.assertEqual(len(Credentials.cred_list), 1)
#10th test_search for credentials
def test_search_for_cred(self):
'''
test if credentials can be searched for
'''
self.new_cred.save_cred()
test_cred = Credentials("Twitter", "testuser","password")
test_cred.save_cred()
find_cred= Credentials.find_account("Twitter")
self.assertEqual(find_cred.account, test_cred.account)
#11th test_confirm accounts credentials
def test_confirm_cred_exists(self):
'''
confirm that credentials actually exists
'''
self.new_cred.save_cred()
test_cred = Credentials("Twitter", "testuser","password")
test_cred.save_cred()
cred_exists = Credentials.cred_exists("Twitter")
self.assertTrue(cred_exists)
#test 12th_Display credentials
def test_display_credentials(self):
'''
test if all credentials can be displayed
'''
self.assertEqual(Credentials.display_cred(), Credentials.cred_list)
#copy password test 13th
def test_copy_password(self):
'''
test whether generated password can be copied
'''
self.new_cred.save_cred()
Credentials.copy_passlock("Dskl321")
self.assertEqual(self.new_cred.passlock, pyperclip.paste()) | 27.961905 | 79 | 0.637943 | 329 | 2,936 | 5.486322 | 0.246201 | 0.046537 | 0.07313 | 0.049862 | 0.325208 | 0.281994 | 0.244321 | 0.244321 | 0.220499 | 0.175069 | 0 | 0.013395 | 0.262602 | 2,936 | 105 | 80 | 27.961905 | 0.820323 | 0.206403 | 0 | 0.363636 | 0 | 0 | 0.084568 | 0 | 0 | 0 | 0 | 0 | 0.227273 | 1 | 0.227273 | false | 0.181818 | 0.068182 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
9823ef7d2309b9db4ccd8d9941d172f80eac4048 | 10,664 | py | Python | tools/evaluate.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 11 | 2020-07-05T02:39:32.000Z | 2022-03-20T18:52:44.000Z | tools/evaluate.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | null | null | null | tools/evaluate.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 4 | 2020-09-03T20:36:32.000Z | 2022-01-19T07:42:21.000Z | #!/usr/bin/python
#
# Copyright (c) 2019 Opticks Team. All Rights Reserved.
#
# This file is part of Opticks
# (see https://bitbucket.org/simoncblyth/opticks).
#
# 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 to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
NB lldb.frame and frame are not the same
INTERACTIVE::
>>> from opticks.tools.evaluate import EV ; self = EV(lldb.frame.FindVariable("this"))
WITHIN BREAKPOINT FUNC::
self = EV(frame.FindVariable("this"))
::
(lldb) fr v
(CRandomEngine *) this = 0x0000000110025c70
(lldb) script
Python Interactive Interpreter. To exit, type 'quit()', 'exit()' or Ctrl-D.
>>> from opticks.tools.evaluate import EV ; self = EV(lldb.frame.FindVariable("this"))
>>> self.v.keys
['CLHEP::HepRandomEngine', 'm_g4', 'm_ctx', 'm_ok', 'm_mask', 'm_masked', 'm_path', 'm_alignlevel', 'm_seed', 'm_internal', 'm_skipdupe', 'm_locseq', 'm_curand', 'm_curand_index', 'm_curand_ni', 'm_curand_nv', 'm_current_record_flat_count', 'm_current_step_flat_count', 'm_offset', 'm_offset_count', 'm_flat', 'm_location', 'm_sequence', 'm_cursor', 'm_cursor_old']
>>> self.v(".m_ctx._step_id")
(int) _step_id = 0
>>> self.ev(".m_ctx._step_id")
0
>>> self.ev(".m_ctx")
OrderedDict([('_ok', 'ptr'), ('_pindex', 0), ('_print', True), ('_dbgrec', False), ('_dbgseq', False), ('_dbgzero', False), ('_photons_per_g4event', 10000), ('_steps_per_photon', 10), ('_gen', 4096), ('_record_max', 1), ('_bounce_max', 9), ('_ok_event_init', True), ('_event', 'ptr'), ('_event_id', 0), ('_event_total', 1), ('_event_track_count', 1), ('_track', 'ptr'), ('_process_manager', 'ptr'), ('_track_id', 0), ('_track_total', 1), ('_track_step_count', 1), ('_parent_id', -1), ('_optical', True), ('_pdg_encoding', 0), ('_primary_id', -2), ('_photon_id', 0), ('_reemtrack', False), ('_record_id', 0), ('_record_fraction', 0.0), ('_rejoin_count', 0), ('_primarystep_count', 1), ('_stage', OrderedDict()), ('_debug', False), ('_other', False), ('_dump', False), ('_dump_count', 0), ('_step', 'ptr'), ('_noZeroSteps', 0), ('_step_id', 0), ('_step_total', 1), ('_step_origin', OrderedDict([('dx', 11.291412353515625), ('dy', -34.645111083984375), ('dz', -449.8999938964844)]))])
>>> self.v(".m_ctx")
(CG4Ctx &) m_ctx = 0x0000000110025af0: {
_ok = 0x000000010c735c40
_pindex = 0
_print = true
_dbgrec = false
_dbgseq = false
_dbgzero = false
_photons_per_g4event = 10000
_steps_per_photon = 10
_gen = 4096
_record_max = 1
"""
from collections import OrderedDict
from opticks.tools.lldb_ import lldb
def rsplit(r):
return map(lambda _:_.lstrip().rstrip(),r.split("\n"))
class EV(object):
def __init__(self, v=None):
self.e = Evaluate()
self.v = v
def _set_v(self, v):
if type(v) is Value or type(v) is None:
self._v = v
else:
self._v = Value(v)
pass
def _get_v(self):
return self._v
v = property(_get_v, _set_v)
def v_(self, k):
if self.v is None:
return None
return self.v(k)
def ev(self, k):
if self.v is None:
return None
return self.e(self.v(k))
class Value(object):
"""
>>> from opticks.tools.evaluate import Value, Evaluate ; e = Evaluate() ; v = Value(lldb.frame.FindVariable("this"))
>>> v
(CRandomEngine *) this = 0x000000010f7e2470
>>> v.keys
['CLHEP::HepRandomEngine', 'm_g4', 'm_ctx', 'm_ok', 'm_mask', 'm_masked', 'm_path', 'm_alignlevel', 'm_seed', 'm_internal', 'm_skipdupe', 'm_locseq', 'm_curand', 'm_curand_index', 'm_curand_ni', 'm_curand_nv', 'm_current_record_flat_count', 'm_current_step_flat_count', 'm_flat', 'm_location', 'm_sequence', 'm_cursor']
>>> v("m_location")
(std::__1::string) m_location = "OpBoundary;"
>>> e(v("m_location"))
'OpBoundary;'
>>> ef = e.evaluate_frame(lldb.frame)
"""
def __init__(self, v):
self.v = v
def _get_keys(self):
nc = self.v.GetNumChildren()
return [self.v.GetChildAtIndex(i).GetName() for i in range(nc)]
keys = property(_get_keys)
def __call__(self, k ):
if k[0] == ".":
vv = self.v.GetValueForExpressionPath(k)
else:
vv = self.v.GetChildMemberWithName(k)
pass
return Value(vv)
def __repr__(self):
return str(self.v)
def __str__(self):
return "\n".join( map(repr,map(self, self.keys) ))
class Evaluate(object):
"""
NB : holds no "domain" state
"""
SKIPS = rsplit(r"""
char **
""")
NOT_CANONICAL = rsplit(r"""
std::__1::string
""")
# canonical type for std::string is giant basic_string monstrosity, so dont use it for classify
E_ATOM = "ATOM"
E_SKIP = "SKIP"
E_PTR = "PTR"
E_COMP = "COMP"
E_ENUM = "ENUM"
@classmethod
def classify(cls, v):
tn = v.GetTypeName()
t = v.GetType()
pt = t.IsPointerType()
lem = len(t.enum_members)
if tn in cls.ATOMS:
et = cls.E_ATOM
elif tn in cls.SKIPS:
et = cls.E_SKIP
elif lem > 0:
et = cls.E_ENUM
elif pt:
et = cls.E_PTR
else:
et = cls.E_COMP
pass
return et
def __init__(self, error=None, opt=""):
if error is None:
error = lldb.SBError()
pass
self.error = error
self.opt = opt
def __call__(self, v ):
if type(v) is Value:
vv = v.v
else:
vv = v
pass
return self.evaluate(vv)
def evaluate_frame(self, f):
ef = OrderedDict()
vls = f.get_all_variables()
for v in vls:
k = v.GetName()
e = self.evaluate(v)
ef[k] = e
if "f" in self.opt:
te = type(e)
print "(f) %(k)10s : %(e)15s : %(te)15s " % locals()
pass
pass
return ef
def evaluate(self, v):
et = self.classify(v)
k = v.GetName()
nc = v.GetNumChildren()
tn = v.GetTypeName()
if "e" in self.opt:
print "(e) %(k)10s : %(tn)15s : %(nc)4d : %(et)s " % locals()
pass
if et == self.E_ATOM:
e = self.evaluate_atom(v)
elif et == self.E_ENUM:
e = v.GetValue()
elif et == self.E_SKIP:
e = "skp"
elif et == self.E_PTR:
e = "ptr"
elif et == self.E_COMP:
e = self.evaluate_comp(v)
else:
assert 0
pass
return e
def evaluate_comp(self, o):
eo = OrderedDict()
nc = o.GetNumChildren()
for i in range(nc):
v = o.GetChildAtIndex(i)
k = v.GetName()
eo[k] = self.evaluate(v)
if "c" in self.opt:
te = type(e)
print "(c) %(k)10s : %(e)15s : %(te)15s " % locals()
pass
pass
return eo
ATOMS = rsplit(r"""
bool
char
int
long
long long
unsigned char
unsigned int
unsigned long
unsigned long long
float
double
std::__1::string
const char *
""")
def atom_typename(self, v):
t = v.GetType()
vtn = v.GetTypeName()
if vtn in self.NOT_CANONICAL:
tn = vtn
else:
ct = t.GetCanonicalType()
ctn = ct.GetName()
tn = ctn
pass
return tn
def evaluate_atom(self, v):
"""
:param v: SBValue
:return: python equivalent or "?" if unhandled
"""
nc = v.GetNumChildren()
k = v.GetName()
tn = self.atom_typename(v)
sz = v.GetByteSize()
d = v.GetData()
error = self.error
if tn == "unsigned int":
assert sz == 4
e = v.GetValueAsUnsigned()
elif tn == "int":
assert sz == 4
e = v.GetValueAsSigned()
elif tn == "long" or tn == "long long":
assert sz == 8
e = d.GetSignedInt64(error, 0)
elif tn == "unsigned long" or tn == "unsigned long long":
assert sz == 8
e = d.GetUnsignedInt64(error, 0)
elif tn == "float":
assert sz == 4
offset = 0
e = d.GetFloat(error, offset)
elif tn == "double":
assert sz == 8
offset = 0
e = d.GetDouble(error, offset)
elif tn == "bool":
assert sz == 1
offset = 0
e = d.GetUnsignedInt8(error, offset)
assert e == 0 or e == 1
e = e == 1
elif tn == "unsigned char":
assert sz == 1
offset = 0
e = d.GetUnsignedInt8(error, offset)
elif tn == "char":
assert sz == 1
offset = 0
e = d.GetSignedInt8(error, offset)
elif tn == "std::__1::string":
s = v.GetSummary()
e = s[1:-1] # unquote
#offset = 1
#e = d.GetString(error, offset)
# offset 1 avoids "\x16hello"
# hmm kinda dodgy, the string is actually composite with one child
# sometimes gives blanks
#
#e = v.GetFrame().EvaluateExpression("%s.c_str()" % k)
elif tn == "const char *":
tt = v.GetType().GetPointeeType()
assert tt.GetName() == "const char"
sz = tt.GetByteSize()
assert sz == 1
ptr = v.GetValueAsUnsigned()
e = v.GetFrame().GetThread().GetProcess().ReadCStringFromMemory(ptr,256, error)
else:
e = "?"
pass
te = str(type(e))
fmt = "(a) %(k)10s : %(tn)30s : %(nc)4d : %(sz)4d : %(e)15s : %(te)10s : %(v)40s "
if "a" in self.opt:
print fmt % locals()
pass
return e
if __name__ == '__main__':
pass
| 27.413882 | 985 | 0.526632 | 1,338 | 10,664 | 4.005232 | 0.248879 | 0.022392 | 0.005598 | 0.008397 | 0.23176 | 0.22131 | 0.216085 | 0.187722 | 0.18287 | 0.170927 | 0 | 0.034155 | 0.330083 | 10,664 | 388 | 986 | 27.484536 | 0.715985 | 0.093773 | 0 | 0.288288 | 0 | 0.009009 | 0.090643 | 0 | 0 | 0 | 0 | 0 | 0.058559 | 0 | null | null | 0.067568 | 0.009009 | null | null | 0.018018 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
982b0cf63f7f27e4c9190b484bcf78242863c88b | 2,183 | py | Python | project_euler/python/058.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 10 | 2015-01-31T09:04:45.000Z | 2022-01-08T04:09:48.000Z | project_euler/python/058.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 3 | 2016-05-16T07:37:01.000Z | 2016-05-18T14:14:16.000Z | project_euler/python/058.py | hacktoolkit/code_challenges | d71f8362496a72963a53abba7bcc9dd4d35a2920 | [
"MIT"
] | 6 | 2015-02-06T06:00:00.000Z | 2020-02-13T16:13:48.000Z | """http://projecteuler.net/problem=058
Spiral primes
Starting with 1 and spiralling anticlockwise in the following way, a square spiral with side length 7 is formed.
37 36 35 34 33 32 31
38 17 16 15 14 13 30
39 18 5 4 3 12 29
40 19 6 1 2 11 28
41 20 7 8 9 10 27
42 21 22 23 24 25 26
43 44 45 46 47 48 49
It is interesting to note that the odd squares lie along the bottom right diagonal, but what is more interesting is that 8 out of the 13 numbers lying along both diagonals are prime; that is, a ratio of 8/13 ~= 62%.
If one complete new layer is wrapped around the spiral above, a square spiral with side length 9 will be formed. If this process is continued, what is the side length of the square spiral for which the ratio of primes along both diagonals first falls below 10%?
Solution by jontsai <hello@jontsai.com>
"""
from utils import *
EXPECTED_ANSWER = 26241
# this problem is similar to 028
#
# observe that for generating a number spiral square as demonstrated here:
# dimension is always n x n, where n % 2 == 1 (n is always odd)
# (n - 1) / 2 = distance from the center to any corner or midpoint on the edges
target_ratio = 0.1
minimum_length = 7
n = 1
ratio = 1
diagonals = 0
diagonal_primes = 0
while n < minimum_length or ratio > target_ratio:
#diagonals = 1 + ((n - 1) / 2) * 4
num_cells = n * n
distance = n - 1
bottom_right = num_cells
if distance > 0:
diagonals += 4
bottom_left = bottom_right - distance
top_left = bottom_left - distance
top_right = top_left - distance
# bottom right is always a square, so not a prime
if primality(bottom_left):
diagonal_primes += 1
else:
pass
if primality(top_left):
diagonal_primes += 1
else:
pass
if primality(top_right):
diagonal_primes += 1
else:
pass
else:
diagonals += 1
ratio = float(diagonal_primes) / diagonals
#print n, ratio
if n >= minimum_length and ratio <= target_ratio:
break
else:
n += 2
answer = n
print 'Expected: %s, Answer: %s' % (EXPECTED_ANSWER, answer)
| 29.106667 | 261 | 0.656436 | 354 | 2,183 | 3.977401 | 0.460452 | 0.049716 | 0.03196 | 0.040483 | 0.112926 | 0.096591 | 0.058239 | 0.058239 | 0.058239 | 0 | 0 | 0.08679 | 0.28218 | 2,183 | 74 | 262 | 29.5 | 0.811742 | 0.154833 | 0 | 0.289474 | 0 | 0 | 0.024096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.078947 | 0.026316 | null | null | 0.026316 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
982e4a17009631d8d51b21908e481ffbd98d354f | 426 | py | Python | by-session/class-921/week5/quiz_in.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | 2 | 2015-04-29T20:59:35.000Z | 2018-09-26T13:33:43.000Z | by-session/class-921/week5/quiz_in.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | by-session/class-921/week5/quiz_in.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | def abc(s1, s2):
return s1 in s2
def abc2(s1, s2):
for i in range(0, len(s2)):
if s2[i:i+len(s1)] == s1:
return True
else:
return False
def abc3(s1, s2):
for i in range(0, len(s2)):
for j in range(0, len(s1)):
if s2[i + j] != s1[j]:
break
else:
return True
else:
return False
print abc2("ello1", "Hello World!") | 20.285714 | 35 | 0.469484 | 67 | 426 | 2.985075 | 0.343284 | 0.06 | 0.12 | 0.165 | 0.46 | 0.21 | 0.21 | 0.21 | 0.21 | 0 | 0 | 0.089147 | 0.394366 | 426 | 21 | 36 | 20.285714 | 0.686047 | 0 | 0 | 0.5 | 0 | 0 | 0.039813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
9838e9fd8e5b5cf9c106e0c73957b0c76c732c47 | 988 | py | Python | components/mlserve/mlpm/solver.py | autoai-org/AIFlow | 2368f0e1f8df78cce568266e3c88e493eff1ac89 | [
"Apache-2.0"
] | 82 | 2018-09-09T10:07:22.000Z | 2019-09-22T17:02:45.000Z | components/mlserve/mlpm/solver.py | autoai-org/AIFlow | 2368f0e1f8df78cce568266e3c88e493eff1ac89 | [
"Apache-2.0"
] | 531 | 2018-09-24T13:04:41.000Z | 2019-09-20T09:56:00.000Z | components/mlserve/mlpm/solver.py | autoai-org/CVPM | 2368f0e1f8df78cce568266e3c88e493eff1ac89 | [
"MIT"
] | 16 | 2018-09-30T17:08:46.000Z | 2019-07-11T02:38:55.000Z | # Copyright (c) 2021 Xiaozhe Yao
#
# coding:utf-8
from mlpm.server import aidserver, run_server
class Solver(object):
def __init__(self, pretrained_toml=None):
self._isReady = False
self.bundle = None
self._hyperparameters = {}
self._enable_train = False
self.server = aidserver
if hasattr(self.__class__, 'train') and callable(
getattr(self.__class__, 'train')):
self._enable_train = True
@property
def enable_train(self):
return self._enable_train
@property
def is_ready(self):
return self._isReady
@property
def hyperparamters(self):
return self._hyperparameters
def ready(self):
self._isReady = True
def start(self, port=None):
print('Server will run on port: ' + str(port))
run_server(self, port)
def infer(self, data):
raise NotImplementedError
def change(self):
raise NotImplementedError | 23.52381 | 57 | 0.62753 | 112 | 988 | 5.285714 | 0.455357 | 0.074324 | 0.076014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007052 | 0.282389 | 988 | 42 | 58 | 23.52381 | 0.827927 | 0.043522 | 0 | 0.172414 | 0 | 0 | 0.037155 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.275862 | false | 0 | 0.034483 | 0.103448 | 0.448276 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
983a0806df5319032fe889841175488e57c5043b | 1,466 | py | Python | examples/align.py | JohnVillalovos/subaligner | 41bd00b4661b4ba35bdd2915e89fc368dcc7663a | [
"MIT"
] | 227 | 2020-01-05T18:47:15.000Z | 2022-03-19T20:19:33.000Z | examples/align.py | JohnVillalovos/subaligner | 41bd00b4661b4ba35bdd2915e89fc368dcc7663a | [
"MIT"
] | 43 | 2019-12-16T09:15:38.000Z | 2022-03-21T10:39:40.000Z | examples/align.py | JohnVillalovos/subaligner | 41bd00b4661b4ba35bdd2915e89fc368dcc7663a | [
"MIT"
] | 9 | 2020-11-16T03:33:11.000Z | 2022-03-11T22:12:38.000Z | import os
from subaligner.predictor import Predictor
from subaligner.subtitle import Subtitle
if __name__ == "__main__":
examples_dir = os.path.dirname(os.path.abspath(__file__))
output_dir = os.path.join(examples_dir, "tmp")
os.makedirs(output_dir, exist_ok=True)
video_file_path = os.path.join(examples_dir, "..", "tests/subaligner/resource/test.mp4")
srt_file_path = os.path.join(examples_dir, "..", "tests/subaligner/resource/test.srt")
predictor = Predictor()
subs, audio_file_path, voice_probabilities, frame_rate = predictor.predict_single_pass(video_file_path, srt_file_path)
aligned_subtitle_path = os.path.join(output_dir, "test_aligned_1.srt")
Subtitle.export_subtitle(srt_file_path, subs, aligned_subtitle_path)
print("Aligned subtitle saved to: {}".format(aligned_subtitle_path))
log_loss = predictor.get_log_loss(voice_probabilities, subs)
print("Alignment finished with overall loss: {}".format(log_loss))
subs_list, subs, voice_probabilities, frame_rate = predictor.predict_dual_pass(video_file_path, srt_file_path, stretch=False)
aligned_subtitle_path = os.path.join(output_dir, "test_aligned_2.srt")
Subtitle.export_subtitle(srt_file_path, subs_list, aligned_subtitle_path)
print("Aligned subtitle saved to: {}".format(aligned_subtitle_path))
log_loss = predictor.get_log_loss(voice_probabilities, subs)
print("Alignment finished with overall loss: {}".format(log_loss))
| 52.357143 | 129 | 0.772169 | 203 | 1,466 | 5.197044 | 0.275862 | 0.068246 | 0.108057 | 0.053081 | 0.749763 | 0.729858 | 0.648341 | 0.595261 | 0.519431 | 0.519431 | 0 | 0.002318 | 0.117326 | 1,466 | 27 | 130 | 54.296296 | 0.812983 | 0 | 0 | 0.272727 | 0 | 0 | 0.175307 | 0.046385 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.090909 | 0.136364 | 0 | 0.136364 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
984d8879311ca7fe731cca0df15c540035927675 | 1,303 | py | Python | app/schemas/submarine_exploration.py | shambarick/mogship-core | 874c21db26d25ce1917e215d1cc085ca5e9f96cb | [
"MIT"
] | null | null | null | app/schemas/submarine_exploration.py | shambarick/mogship-core | 874c21db26d25ce1917e215d1cc085ca5e9f96cb | [
"MIT"
] | null | null | null | app/schemas/submarine_exploration.py | shambarick/mogship-core | 874c21db26d25ce1917e215d1cc085ca5e9f96cb | [
"MIT"
] | null | null | null | from typing import Dict, Optional
from pydantic import BaseModel, Field
from .exploration import ExplorationDistance, ExplorationUnlock
class SurveillanceBreakpoint(BaseModel):
mid: int
high: int
class RetrievalBreakpoint(BaseModel):
norm: int
optim: int
class SubmarineSectorBreakpoints(BaseModel):
surveillance: SurveillanceBreakpoint
retrieval: RetrievalBreakpoint
favor: int
class SubmarineMap(BaseModel):
id: int
image: int
name_en: str
name_fr: str
name_ja: str
name_de: str
class SubmarineSector(BaseModel):
id: int
rank: int
map: SubmarineMap
name_en: str
name_fr: str
name_ja: str
name_de: str
shortname_en: str
shortname_fr: str
shortname_ja: str
shortname_de: str
lettername_en: str
lettername_fr: str
lettername_ja: str
lettername_de: str
isExplorable: bool
ceruleumTankReq: int
stars: int
expReward: int
surveyRange: int
surveyDistance: int
coordX: int
coordY: int
coordZ: int
unlockedBy: Optional[int]
unlocks: Optional[ExplorationUnlock] = None
breakpoints: Optional[SubmarineSectorBreakpoints]
toDestination: Optional[Dict[str, ExplorationDistance]] = Field(example={ "1": { "distance": 25000, "range": 13 } })
| 21.016129 | 120 | 0.703761 | 142 | 1,303 | 6.34507 | 0.408451 | 0.046615 | 0.031077 | 0.028857 | 0.079911 | 0.079911 | 0.079911 | 0.079911 | 0.079911 | 0.079911 | 0 | 0.007944 | 0.227168 | 1,303 | 61 | 121 | 21.360656 | 0.886792 | 0 | 0 | 0.204082 | 0 | 0 | 0.010744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.061224 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
9876ce70165ca91ba3ef9a7376af6b4baadb5147 | 450 | py | Python | migrations/174-remove-tags-from-documents.py | storagebot/kitsune | 613ba2ca09104f330ab77088b452391169096249 | [
"BSD-3-Clause"
] | 2 | 2019-08-19T17:08:47.000Z | 2019-10-05T11:37:02.000Z | migrations/174-remove-tags-from-documents.py | taliasman/kitsune | f8085205eef143011adb4c52d1f183da06c1c58e | [
"BSD-3-Clause"
] | null | null | null | migrations/174-remove-tags-from-documents.py | taliasman/kitsune | f8085205eef143011adb4c52d1f183da06c1c58e | [
"BSD-3-Clause"
] | null | null | null | from django.contrib.contenttypes.models import ContentType
from taggit.models import TaggedItem
from wiki.models import Document
def run():
# Get content_type_id for Document.
content_type = ContentType.objects.get_for_model(Document)
# Get all instances of tags that point at a Document
tags = TaggedItem.objects.filter(content_type=content_type)
print 'Deleting %d tags.' % tags.count()
tags.delete()
print 'Done!'
| 26.470588 | 63 | 0.746667 | 61 | 450 | 5.393443 | 0.57377 | 0.133739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173333 | 450 | 16 | 64 | 28.125 | 0.884409 | 0.186667 | 0 | 0 | 0 | 0 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
9881a9bbd9cc1ccf46df13d16ed4b30f1348ba5e | 279 | py | Python | engine/args/server/start_server.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | engine/args/server/start_server.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | engine/args/server/start_server.py | wezzyofficial/discord_soft | 1fdbeffa2b4511a95e147fd7bac09a83d1546a7b | [
"MIT"
] | null | null | null | from engine import console
from engine.functions import handler
from engine.web_server import WebServer
@handler.arg(name='server', description='Запускаем процесс "сервер" (на сервере).')
def _():
console.log('(MANAGER): Инициализация процесса "сервер"..')
WebServer() | 27.9 | 83 | 0.749104 | 33 | 279 | 6.272727 | 0.666667 | 0.144928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125448 | 279 | 10 | 84 | 27.9 | 0.848361 | 0 | 0 | 0 | 0 | 0 | 0.321429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | true | 0 | 0.428571 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
9885baff2dc8ea9d074faa563144dadd2452ab07 | 822 | py | Python | ADT102/AnotherThirdAssignment/Queue.py | oat431/HomeworkCollection | 12359eab28416b93f7da00c59fcc44b4e9b7723a | [
"Unlicense"
] | 3 | 2020-01-23T08:43:42.000Z | 2021-01-22T15:31:09.000Z | ADT102/AnotherThirdAssignment/Queue.py | oat431/HomeworkCollection | 12359eab28416b93f7da00c59fcc44b4e9b7723a | [
"Unlicense"
] | 1 | 2020-10-08T16:30:24.000Z | 2020-10-12T09:06:55.000Z | ADT102/ADTassignmentButwithpython/Queue.py | oat431/HomeworkCollection | 12359eab28416b93f7da00c59fcc44b4e9b7723a | [
"Unlicense"
] | 3 | 2020-01-13T14:57:01.000Z | 2021-09-22T07:16:49.000Z | class Queue:
qu = []
size = 0
front = 0
rear = 0
def __init__(self, size):
self.size = size
def en_queue(self, data):
self.qu.append(data)
self.size = self.size + 1
self.rear = self.rear + 1
def de_queue(self):
temp = self.qu[self.front]
del self.qu[self.front]
self.rear = self.rear - 1
self.size = self.size - 1
return temp
def de_que_all(self):
while not self.is_empty():
print(self.de_queue().__str__())
def get_front(self):
return self.qu[self.front]
def get_rear(self):
return self.qu[-1]
def is_full(self):
return self.rear == self.get_size()
def is_empty(self):
return self.rear == 0
def get_size(self):
return self.size
| 20.55 | 44 | 0.546229 | 118 | 822 | 3.635593 | 0.237288 | 0.130536 | 0.16317 | 0.111888 | 0.158508 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016484 | 0.335766 | 822 | 39 | 45 | 21.076923 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0 | 0.166667 | 0.666667 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
988c486d6d22373e3663b394c8cd38c068d8485c | 179 | py | Python | Chapter8/study8_10.py | nicuo/Python3 | 4cee68030eab62eca92c0a72d2a3d79d92764072 | [
"CNRI-Python"
] | null | null | null | Chapter8/study8_10.py | nicuo/Python3 | 4cee68030eab62eca92c0a72d2a3d79d92764072 | [
"CNRI-Python"
] | null | null | null | Chapter8/study8_10.py | nicuo/Python3 | 4cee68030eab62eca92c0a72d2a3d79d92764072 | [
"CNRI-Python"
] | null | null | null | import sqlalchemy
conn = sqlalchemy.create_engine('sqlite:///books.db')
sql = 'select title from book order by title asc'
rows = conn.execute(sql)
for row in rows:
print(row)
| 25.571429 | 53 | 0.731844 | 28 | 179 | 4.642857 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150838 | 179 | 6 | 54 | 29.833333 | 0.855263 | 0 | 0 | 0 | 0 | 0 | 0.329609 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
98b2c68286b0525c5081e4d60802764eb2337f94 | 1,011 | py | Python | todo/views.py | trevenue44/whats-next | 991f8b10d16b6906e6448654408f76e65eb86c03 | [
"MIT"
] | null | null | null | todo/views.py | trevenue44/whats-next | 991f8b10d16b6906e6448654408f76e65eb86c03 | [
"MIT"
] | null | null | null | todo/views.py | trevenue44/whats-next | 991f8b10d16b6906e6448654408f76e65eb86c03 | [
"MIT"
] | null | null | null | from django.shortcuts import redirect, render
from django.contrib.auth.decorators import login_required
from django.views.generic import ListView
from .models import TodoItem
# @login_required()
# def home(request):
# context = {
# "todo_items": TodoItem.objects.all(),
# }
# return render(request, "todo/home.html", context=context)
class TodoItemListView(ListView):
model = TodoItem
template_name = "todo/home.html" # <app_name>_<viewtype>.html
context_object_name = "todo_items"
def get_queryset(self):
return TodoItem.objects.filter(author=self.request.user)
@login_required()
def add_todo_item(request):
content = request.POST["content"]
if content:
new_todo_item = TodoItem(content=content, author=request.user)
new_todo_item.save()
return redirect("todo-home")
@login_required()
def delete_todo_item(request, todo_item_id):
todo_item = TodoItem(id=todo_item_id)
todo_item.delete()
return redirect("todo-home")
| 26.605263 | 70 | 0.716123 | 128 | 1,011 | 5.453125 | 0.382813 | 0.091691 | 0.068768 | 0.063037 | 0.051576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.170129 | 1,011 | 37 | 71 | 27.324324 | 0.831943 | 0.1909 | 0 | 0.181818 | 0 | 0 | 0.060494 | 0 | 0 | 0 | 0 | 0.027027 | 0 | 1 | 0.136364 | false | 0 | 0.181818 | 0.045455 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
7f306202548927c9ddeb2fb7581616cc2b5f9fcd | 3,525 | py | Python | 5.Reconstruction using FFT descriptors/main.py | MengHao666/Digital-Image-Processing-algorithms | 8a2d24d6360f3c088fbc7128092decf655c16843 | [
"MIT"
] | 4 | 2020-05-23T01:15:37.000Z | 2022-01-08T11:14:32.000Z | 5.Reconstruction using FFT descriptors/main.py | MengHao666/Digital-Image-Processing-algorithms | 8a2d24d6360f3c088fbc7128092decf655c16843 | [
"MIT"
] | null | null | null | 5.Reconstruction using FFT descriptors/main.py | MengHao666/Digital-Image-Processing-algorithms | 8a2d24d6360f3c088fbc7128092decf655c16843 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
my_contour1 = np.asarray(
[[41, 41], [43, 41, ], [45, 41, ], [47, 41], [49, 41], [51, 41], [53, 41], [55, 41],
[57, 41], [59, 41], [61, 41], [63, 41], [65, 41], [67, 41], [69, 41], [71, 41], # 41列
[73, 41], [73, 43], [73, 45], [73, 47], [73, 49], [73, 51], [73, 53], [73, 55], [73, 57], # 73行
[73, 59], [73, 61], [73, 63], [73, 65], [73, 67], [73, 69], [73, 71], [73, 73],
[71, 73], [69, 73], [67, 73], [65, 73], [63, 73], [61, 73], [59, 73], [57, 73], [55, 73], # 73行
[53, 73], [51, 73], [49, 73], [47, 73], [45, 73], [43, 73], [41, 73],
[41, 71], [41, 69], [41, 67], [41, 65], [41, 63], [41, 61], [41, 59], [41, 57], [41, 55], # 41行
[41, 53], [41, 51], [41, 49], [41, 47], [41, 45], [41, 43]
])
my_contour2 = np.asarray([
[73, 41], [73, 43], [73, 45], [73, 47], [73, 49], [73, 51], [73, 53], [73, 55], [73, 57], # 73行
[73, 59], [73, 61], [73, 63], [73, 65], [73, 67], [73, 69], [73, 71], [73, 73],
[71, 73], [69, 73], [67, 73], [65, 73], [63, 73], [61, 73], [59, 73], [57, 73], [55, 73], # 73行
[53, 73], [51, 73], [49, 73], [47, 73], [45, 73], [43, 73], [41, 73],
[41, 71], [41, 69], [41, 67], [41, 65], [41, 63], [41, 61], [41, 59], [41, 57], [41, 55], # 41行
[41, 53], [41, 51], [41, 49], [41, 47], [41, 45], [41, 43],
[41, 41], [43, 41, ], [45, 41, ], [47, 41], [49, 41], [51, 41], [53, 41], [55, 41],
[57, 41], [59, 41], [61, 41], [63, 41], [65, 41], [67, 41], [69, 41], [71, 41], # 41列
])
def DFT(sig):
N = sig.shape[0]
contours_complex = np.empty(N, dtype=complex)
contours_complex = sig[:, 0] + sig[:, 1] * 1j # 横坐标作为实数部分
V = np.array([[np.exp(-1j * 2 * np.pi * v * y / N) for v in range(N)] for y in range(N)])
return contours_complex.dot(V)
def reconstruct(au, M):
N = au.shape[0]
# print("N=", N)
res = np.zeros(N, dtype=complex)
for k in range(N):
for u in range(M):
res[k] += au[u] * np.exp(1j * 2 * np.pi * u * k / M)
res[k] /= N
# print("res=", res)
# print("res_=", np.stack((res.real, res.imag), -1))
return np.stack((res.real, res.imag), -1)
def plotarray(q, length=100):
img = np.zeros((length, length))
for i in range(length):
for j in range(length):
img[i][j] = 255
for m in range(q.shape[0]):
# print(q[m][0])
# print(q[m][1])
img[int(q[m][0])][int(q[m][1])] = 0
return img
# print("my_contour.shape=", my_contour2.shape)
# 进行离散傅立叶变换
fd = DFT(my_contour1)
# print("fd2=", fd2)
plot_contour1 = plotarray(my_contour1)
res64 = plotarray(reconstruct(fd, 64))
res63 = plotarray(reconstruct(fd, 63))
res50 = plotarray(reconstruct(fd, 50))
res32 = plotarray(reconstruct(fd, 32))
res16 = plotarray(reconstruct(fd, 16))
res8 = plotarray(reconstruct(fd, 8))
res4 = plotarray(reconstruct(fd, 4))
plt.figure()
plt.subplots_adjust(wspace=0, hspace=1) # 调整子图间距
plt.subplot(421)
plt.imshow(plot_contour1, cmap='gray')
plt.title('Original Image')
plt.subplot(422)
plt.imshow(res64, cmap='gray')
plt.title('M=64')
plt.subplot(423)
plt.imshow(res63, cmap='gray')
plt.title('M=63')
plt.subplot(424)
plt.imshow(res50, cmap='gray')
plt.title('M=50')
plt.subplot(425)
plt.imshow(res32, cmap='gray')
plt.title('M=32')
plt.subplot(426)
plt.imshow(res16, cmap='gray')
plt.title('M=16')
plt.subplot(427)
plt.imshow(res8, cmap='gray')
plt.title('M=8')
plt.subplot(428)
plt.imshow(res4, cmap='gray')
plt.title('M=4')
plt.show()
| 29.621849 | 101 | 0.522837 | 608 | 3,525 | 3.009868 | 0.189145 | 0.043716 | 0.048087 | 0.069945 | 0.395082 | 0.330055 | 0.31694 | 0.292896 | 0.292896 | 0.292896 | 0 | 0.228468 | 0.212766 | 3,525 | 118 | 102 | 29.872881 | 0.430991 | 0.067518 | 0 | 0.175 | 0 | 0 | 0.022032 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0375 | false | 0 | 0.025 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7f316e8b987565ce47d163b9f5f37e87f76d6453 | 144 | py | Python | solo/__init__.py | helenst/django-solo | b5618fb0b016197c49a58973c3bd6dfbb2176bb5 | [
"CC-BY-3.0"
] | 39 | 2015-06-10T23:18:07.000Z | 2021-10-21T04:29:06.000Z | solo/__init__.py | helenst/django-solo | b5618fb0b016197c49a58973c3bd6dfbb2176bb5 | [
"CC-BY-3.0"
] | 2 | 2016-08-22T12:38:10.000Z | 2017-01-26T18:37:33.000Z | solo/__init__.py | helenst/django-solo | b5618fb0b016197c49a58973c3bd6dfbb2176bb5 | [
"CC-BY-3.0"
] | 26 | 2015-06-10T22:09:15.000Z | 2021-06-27T15:45:15.000Z | """django-solo helps working with singletons: things like global settings that you want to edit from the admin site.
"""
__version__ = '1.0.5'
| 28.8 | 116 | 0.743056 | 23 | 144 | 4.478261 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024793 | 0.159722 | 144 | 4 | 117 | 36 | 0.826446 | 0.784722 | 0 | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7f3a4cdfcafd777edc899f6d7ecaca78ea8fde77 | 1,022 | py | Python | tfquery/utils.py | mazen160/tfquery | ddc145d7bf04f002c8ea49079fbc688106fc1485 | [
"MIT"
] | 262 | 2021-04-28T11:38:53.000Z | 2022-03-16T12:31:14.000Z | tfquery/utils.py | mazen160/tfquery | ddc145d7bf04f002c8ea49079fbc688106fc1485 | [
"MIT"
] | 2 | 2021-05-12T07:30:25.000Z | 2021-09-19T11:29:22.000Z | tfquery/utils.py | mazen160/tfquery | ddc145d7bf04f002c8ea49079fbc688106fc1485 | [
"MIT"
] | 12 | 2021-04-28T17:15:08.000Z | 2022-02-12T10:30:45.000Z | #!/usr/env python3
from os import listdir
from os.path import isfile
from os.path import join
import json
import logging
import tfquery.tfstate as tfstate
from tfquery.sql_handler import SQLHandler
def get_all_tfstates(dir):
onlyfiles = [join(dir, f) for f in listdir(dir) if isfile(join(dir, f))]
output = []
for i in onlyfiles:
if i.endswith(".tfstate"):
output.append(i)
return output
def import_tfstate(db_path, tfstate_file):
logging.basicConfig(format='%(message)s')
log = logging.getLogger("tfquery")
log.info(f"[i] tfstate file: {tfstate_file}")
resources = tfstate.parse_resources(tfstate_file, detailed=True)
s = SQLHandler(hide_attributes=True, db_path=db_path, tfstate_file=tfstate_file)
log.info(f"[i] DB Path: {s.db_path}")
s.create_table(resources)
s.insert_resources(resources)
log.info(f"[+] Imported {len(resources)} resources from {tfstate_file}.")
def beautify_json(j):
return json.dumps(j, indent=4, sort_keys=True)
| 27.621622 | 84 | 0.709393 | 150 | 1,022 | 4.7 | 0.4 | 0.10922 | 0.034043 | 0.04539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002358 | 0.170254 | 1,022 | 36 | 85 | 28.388889 | 0.829009 | 0.016634 | 0 | 0 | 0 | 0 | 0.141434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.346154 | 0.038462 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
7f4f3ad13342e342b3ea71da21080551f6989e87 | 275 | py | Python | tests/SampleApps/python/flask-app/app.py | samruddhikhandale/Oryx | 9031b36c02967bb4000645950680572a8a76fa56 | [
"MIT"
] | 403 | 2019-05-07T23:40:45.000Z | 2022-03-31T11:14:07.000Z | tests/SampleApps/python/flask-app/app.py | samruddhikhandale/Oryx | 9031b36c02967bb4000645950680572a8a76fa56 | [
"MIT"
] | 514 | 2019-05-07T17:00:14.000Z | 2022-03-31T20:09:16.000Z | tests/SampleApps/python/flask-app/app.py | samruddhikhandale/Oryx | 9031b36c02967bb4000645950680572a8a76fa56 | [
"MIT"
] | 108 | 2019-05-07T23:40:47.000Z | 2022-03-30T00:15:19.000Z | from flask import Flask
from datetime import datetime
from flask import current_app
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World! " + str(datetime.now())
@app.route("/applicationpath")
def applicationPath():
return current_app.root_path
| 18.333333 | 48 | 0.730909 | 36 | 275 | 5.388889 | 0.472222 | 0.092784 | 0.154639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149091 | 275 | 14 | 49 | 19.642857 | 0.82906 | 0 | 0 | 0 | 0 | 0 | 0.109489 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.3 | 0.2 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
7f57dd1bf0c3f313bfcee872bee91f10fbf6272c | 1,087 | py | Python | backend/account_app/admin.py | michaeljarizala/django-react-app-boilerplate | 2a5e8a57f21a5a411d47032f8e55afdba99db603 | [
"MIT"
] | null | null | null | backend/account_app/admin.py | michaeljarizala/django-react-app-boilerplate | 2a5e8a57f21a5a411d47032f8e55afdba99db603 | [
"MIT"
] | 5 | 2021-03-30T13:45:26.000Z | 2021-09-22T19:16:06.000Z | backend/account_app/admin.py | michaeljarizala/django-react-app-boilerplate | 2a5e8a57f21a5a411d47032f8e55afdba99db603 | [
"MIT"
] | null | null | null | from datetime import datetime
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.utils import timezone
from django.utils.text import slugify
from django.urls import reverse
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
from django.shortcuts import get_object_or_404
from django.contrib.auth.models import Permission
from django.contrib import admin
from django.db.models import Q
# IMPORT MODELS
from django_summernote.admin import SummernoteModelAdmin
from django.contrib.auth.models import User
from account_app.models import (
Module,
Role,
Object,
Operation,
Permission,
RoleAssignment,
PermissionAssignment,
RoleModule,
ModuleObject
)
admin.site.register(Module)
admin.site.register(Role)
admin.site.register(Object)
admin.site.register(Operation)
admin.site.register(Permission)
admin.site.register(RoleAssignment)
admin.site.register(PermissionAssignment)
admin.site.register(RoleModule)
admin.site.register(ModuleObject) | 28.605263 | 64 | 0.820607 | 139 | 1,087 | 6.366906 | 0.323741 | 0.146893 | 0.172881 | 0.071186 | 0.160452 | 0.160452 | 0.085876 | 0 | 0 | 0 | 0 | 0.003115 | 0.114075 | 1,087 | 38 | 65 | 28.605263 | 0.915888 | 0.01196 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.441176 | 0 | 0.441176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
7f57f6c832b3711e423cec6abd7c42e0c01e4580 | 1,381 | py | Python | api/db/redis_mq.py | Latent-Lxx/dazhou-dw | 902b4b625cda4c9e4eb205017b8955b81f37a0b5 | [
"MIT"
] | null | null | null | api/db/redis_mq.py | Latent-Lxx/dazhou-dw | 902b4b625cda4c9e4eb205017b8955b81f37a0b5 | [
"MIT"
] | null | null | null | api/db/redis_mq.py | Latent-Lxx/dazhou-dw | 902b4b625cda4c9e4eb205017b8955b81f37a0b5 | [
"MIT"
] | 1 | 2022-02-11T04:44:37.000Z | 2022-02-11T04:44:37.000Z | # !/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2021/7/1 下午4:19
# @Author : Latent
# @Email : latentsky@gmail.com
# @File : kafka.py
# @Software: PyCharm
# @class : 用于redis 的消息队列 -->生产消费者
import redis
class RedisMQ(object):
def __init__(self):
self.redis_mq = redis.Redis(host='127.0.0.1', port='6379', db=1, decode_responses=True, charset='UTF-8',
encoding='UTF-8',health_check_interval=30)
# ==> 1. Producer
def redis_push(self, name: str, push_msg: dict):
try:
self.redis_mq.lpush(name, str(push_msg))
return 'ok'
except Exception as e:
print('==> redis入队列出现问题:', e)
return None
# ==> 2.Consumer
def redis_pop(self, name: str):
try:
pop_value = self.redis_mq.rpop(name)
return pop_value
except Exception as e:
print('==> redis出队出现问题', e)
return None
# ==> 3.查询队列的长度
def redis_len(self, name:str):
count = self.redis_mq.llen(name)
return count
# ==> 4.获取所有的key
def redis_getkey(self):
keys = self.redis_mq.scan_iter()
return list(keys)
# ==> 5.清空队列
def redis_delete(self, redis_key):
self.redis_mq.delete(redis_key)
return 'ok'
# ==> 6.url 去重集合
def redis_set(self, msg):
pass
| 23.016667 | 112 | 0.553222 | 177 | 1,381 | 4.169492 | 0.531073 | 0.085366 | 0.089431 | 0.03794 | 0.062331 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033578 | 0.30992 | 1,381 | 59 | 113 | 23.40678 | 0.740818 | 0.19189 | 0 | 0.266667 | 0 | 0 | 0.053832 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.233333 | false | 0.033333 | 0.033333 | 0 | 0.533333 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
7f71298cc0436308ca50419cc723723f87f78117 | 2,610 | py | Python | Code/3-numpy/sales_data.py | Flor91/Data-Science | f67ec537341e8b2d8213a56ef8ee63028e46e1b2 | [
"MIT"
] | 2 | 2020-10-06T12:59:39.000Z | 2021-11-08T10:58:14.000Z | Code/3-numpy/sales_data.py | Flor91/Data-Science | f67ec537341e8b2d8213a56ef8ee63028e46e1b2 | [
"MIT"
] | null | null | null | Code/3-numpy/sales_data.py | Flor91/Data-Science | f67ec537341e8b2d8213a56ef8ee63028e46e1b2 | [
"MIT"
] | null | null | null | """
Leer los datos del archivo /M1/CLASE_03/Data/sales_data_sample_excercise.csv
Este archivo tiene algunos datos numéricos y otros de tipo cadena de caracteres.
Las columnas son:
ORDERNUMBER: int, id de la orden
SALES: float, monto abonado
MONTH_ID: int, mes
YEAR_ID: int, año
PRODUCTLINE: str, producto
COUNTRY: str, país de venta
¿Recuerdan que todos los elementos de una instancia de ndarray deben ser del mismo tipo? Entonces vamos a leer el archivo y crear una instancia de ndarray de tipo cadena de caracteres.
¿Qué pasaría si intentáramos crear una instancia de tipo int? ¿Y de tipo float?
"""
import numpy as np
import seaborn as sns
file = "Data/sales_data_sample_excercise.csv"
data_str = np.genfromtxt(file, delimiter="\t", skip_header=True, dtype=str)
print("\nSring dtype")
print(data_str)
data_int = np.genfromtxt(file, delimiter="\t", skip_header=True, dtype=int)
print("\nInt dtype")
print(data_int)
data_float = np.genfromtxt(file, delimiter="\t", skip_header=True, dtype=float)
print("\nFloat dtype")
print(data_float)
data = np.genfromtxt(file, delimiter="\t", skip_header=True)
print("\nNo specified dtype")
print(data)
# Crear un array numérico que tenga como valores las columna SALES y otro array de str que tenga como valores la columna COUNTRY
sales = data_float[:, 1]
print(sales)
country = data_str[:, -1]
print(country)
# Sobre los datos de precios de ventas (columna SALES) calcular:
# mínimo máximo promedio cantidad suma
print(f"\nPrecio minimo sales: {sales.min()}")
print(f"Precio máximo sales: {sales.max()}")
print(f"Precio promedio sales: {sales.mean()}")
print(f"Precio cantidad sales: {len(sales)}")
print(f"Precio suma sales: {sales.sum()}")
print("\n¿Cuántas ventas se hicieron en USA?")
usa_mask = country == "USA"
usa_sales = sales[usa_mask]
print(usa_sales.sum())
print(
"\n¿Cuáles son los precios de las 5 ventas que están en las filas 6 a 10 del dataset?"
)
print(sales[6:11])
print(f"Precio media sales: {sales.mean()}")
print(f"Precio mediana sales: {np.median(sales)}")
print(f"Precio desvio sales: {sales.std()}")
print(f"Precio rango sales: {sales.max() - sales.min()}")
def distribution_plotter(data, label):
sns.set(rc={"figure.figsize": (10, 7)})
sns.set_style("white")
dist = sns.distplot(data,
hist_kws={"alpha": 0.2},
kde_kws={"linewidth": 5})
dist.set_title("Distribucion de " + label + "\n", fontsize=16)
random_generator = np.random.default_rng(1234)
birthday = random_generator.integers(low=1, high=366, size=30)
distribution_plotter(birthday, "Cumple")
| 29 | 184 | 0.721456 | 411 | 2,610 | 4.510949 | 0.411192 | 0.029126 | 0.05178 | 0.053937 | 0.19795 | 0.155879 | 0.094391 | 0.094391 | 0.072816 | 0 | 0 | 0.013532 | 0.150575 | 2,610 | 89 | 185 | 29.325843 | 0.820478 | 0.318391 | 0 | 0 | 0 | 0.021739 | 0.345393 | 0.02035 | 0 | 0 | 0 | 0.011236 | 0 | 1 | 0.021739 | false | 0 | 0.043478 | 0 | 0.065217 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
7f72495eb33702816868ba5a2c0729d27e0d1c58 | 297 | py | Python | Ago-Dic-2019/Ricardo_Romero_Medina/Practica1/Practica_7-5.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ago-Dic-2019/Ricardo_Romero_Medina/Practica1/Practica_7-5.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ago-Dic-2019/Ricardo_Romero_Medina/Practica1/Practica_7-5.py | Arbupa/DAS_Sistemas | 52263ab91436b2e5a24ce6f8493aaa2e2fe92fb1 | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z | edad=input("¿Que edad tienes?")
edad=int(edad)
while True:
if edad < 3:
print("Su boleto es gratis")
break
elif edad >= 3 and edad <=12:
print("Su boleto tiene un valor de $10")
break
else:
print("Su boleto tiene un valor de $15")
break | 22.846154 | 48 | 0.555556 | 45 | 297 | 3.688889 | 0.577778 | 0.126506 | 0.23494 | 0.216867 | 0.325301 | 0.325301 | 0.325301 | 0 | 0 | 0 | 0 | 0.040404 | 0.333333 | 297 | 13 | 49 | 22.846154 | 0.792929 | 0 | 0 | 0.25 | 0 | 0 | 0.328859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
7f96a59f040c6fd76c549ef1233f0a9ff9e61ddc | 2,690 | py | Python | pysnmp/HH3C-LOCAL-AAA-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/HH3C-LOCAL-AAA-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/HH3C-LOCAL-AAA-SERVER-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HH3C-LOCAL-AAA-SERVER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HH3C-LOCAL-AAA-SERVER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:15:00 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueRangeConstraint")
hh3cCommon, = mibBuilder.importSymbols("HH3C-OID-MIB", "hh3cCommon")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
ObjectIdentity, Integer32, Counter32, Unsigned32, IpAddress, MibIdentifier, NotificationType, Counter64, iso, Bits, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "Integer32", "Counter32", "Unsigned32", "IpAddress", "MibIdentifier", "NotificationType", "Counter64", "iso", "Bits", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "Gauge32")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
hh3cLocAAASvr = ModuleIdentity((1, 3, 6, 1, 4, 1, 25506, 2, 141))
hh3cLocAAASvr.setRevisions(('2013-07-06 09:45',))
if mibBuilder.loadTexts: hh3cLocAAASvr.setLastUpdated('201307060945Z')
if mibBuilder.loadTexts: hh3cLocAAASvr.setOrganization('Hangzhou H3C Tech. Co., Ltd.')
hh3cLocAAASvrControl = MibIdentifier((1, 3, 6, 1, 4, 1, 25506, 2, 141, 1))
hh3cLocAAASvrTables = MibIdentifier((1, 3, 6, 1, 4, 1, 25506, 2, 141, 2))
hh3cLocAAASvrTrap = MibIdentifier((1, 3, 6, 1, 4, 1, 25506, 2, 141, 3))
hh3cLocAAASvrTrapPrex = MibIdentifier((1, 3, 6, 1, 4, 1, 25506, 2, 141, 3, 0))
hh3cLocAAASvrBillExportFailed = NotificationType((1, 3, 6, 1, 4, 1, 25506, 2, 141, 3, 0, 1))
if mibBuilder.loadTexts: hh3cLocAAASvrBillExportFailed.setStatus('current')
mibBuilder.exportSymbols("HH3C-LOCAL-AAA-SERVER-MIB", hh3cLocAAASvrControl=hh3cLocAAASvrControl, PYSNMP_MODULE_ID=hh3cLocAAASvr, hh3cLocAAASvrTrap=hh3cLocAAASvrTrap, hh3cLocAAASvr=hh3cLocAAASvr, hh3cLocAAASvrTrapPrex=hh3cLocAAASvrTrapPrex, hh3cLocAAASvrBillExportFailed=hh3cLocAAASvrBillExportFailed, hh3cLocAAASvrTables=hh3cLocAAASvrTables)
| 103.461538 | 477 | 0.784015 | 285 | 2,690 | 7.392982 | 0.421053 | 0.076412 | 0.008543 | 0.011391 | 0.353109 | 0.229236 | 0.229236 | 0.229236 | 0.229236 | 0.222117 | 0 | 0.089365 | 0.080669 | 2,690 | 25 | 478 | 107.6 | 0.762636 | 0.127881 | 0 | 0 | 0 | 0 | 0.235772 | 0.029525 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.388889 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
7f9accb8b3916772bc6eb70fd49fa86c3cc74ca0 | 540 | py | Python | ex/parser/scanner_command_shell.py | trishume/VintageousPlus | 1dd62435138234979fe5bb413e1731119b017daf | [
"MIT"
] | 6 | 2017-04-01T05:30:08.000Z | 2017-04-05T14:17:40.000Z | ex/parser/scanner_command_shell.py | trishume/VintageousPlus | 1dd62435138234979fe5bb413e1731119b017daf | [
"MIT"
] | 1 | 2017-04-04T06:47:13.000Z | 2017-04-04T14:26:32.000Z | ex/parser/scanner_command_shell.py | trishume/VintageousPlus | 1dd62435138234979fe5bb413e1731119b017daf | [
"MIT"
] | null | null | null | from .state import EOF
from .tokens import TokenEof
from .tokens_base import TOKEN_COMMAND_SHELL
from .tokens_base import TokenOfCommand
from VintageousPlus import ex
@ex.command('shell', 'shell')
class TokenShell(TokenOfCommand):
def __init__(self, *args, **kwargs):
super().__init__({},
TOKEN_COMMAND_SHELL,
'shell', *args, **kwargs)
self.target_command = 'ex_shell'
def scan_command_shell(state):
state.expect(EOF)
return None, [TokenShell(), TokenEof()]
| 27 | 50 | 0.661111 | 61 | 540 | 5.557377 | 0.42623 | 0.141593 | 0.082596 | 0.117994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.231481 | 540 | 19 | 51 | 28.421053 | 0.816867 | 0 | 0 | 0 | 0 | 0 | 0.042593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.333333 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
7f9de0a10187d7a59e41725118cf47b024757f4f | 1,512 | py | Python | warg/decorators/hashing.py | cnheider/warg | 4bcc5d3e86dd843773ca6cbca21bcab3b8ae84eb | [
"Apache-2.0"
] | 1 | 2018-11-30T09:14:28.000Z | 2018-11-30T09:14:28.000Z | warg/decorators/hashing.py | aivclab/warg | 4bcc5d3e86dd843773ca6cbca21bcab3b8ae84eb | [
"Apache-2.0"
] | 49 | 2019-04-02T12:06:10.000Z | 2019-08-31T14:30:12.000Z | warg/decorators/hashing.py | cnHeider/warg | 4bcc5d3e86dd843773ca6cbca21bcab3b8ae84eb | [
"Apache-2.0"
] | 1 | 2020-10-01T00:18:12.000Z | 2020-10-01T00:18:12.000Z | import copy
DictProxyType = type(object.__dict__)
__all__ = ["make_hash"]
def make_hash(o):
"""
Makes a hash from a dictionary, list, tuple or set to any level, that
contains only other hashable types (including any lists, tuples, sets, and
dictionaries). In the case where other kinds of objects (like classes) need
to be hashed, pass in a collection of object attributes that are pertinent.
For example, a class can be hashed in this fashion:
make_hash([cls.__dict__, cls.__name__])
A function can be hashed like so:
make_hash([fn.__dict__, fn.__code__])"""
if isinstance(o, DictProxyType):
o2 = {}
for k, v in o.items():
if not k.startswith("__"):
o2[k] = v
o = o2
if isinstance(o, (set, tuple, list)):
return hash(tuple([make_hash(e) for e in o]))
if not isinstance(o, dict):
return hash(o)
new_o = copy.deepcopy(o)
for k, v in new_o.items():
new_o[k] = make_hash(v)
return hash(tuple(frozenset(sorted(new_o.items()))))
if __name__ == "__main__":
print(hash(1))
print(make_hash(1))
print(make_hash(1))
print(make_hash({1}))
print(make_hash([1]))
print(make_hash({1}))
print(make_hash({1, 2}))
print(make_hash([1, 2]))
print(make_hash((1, 2)))
print(make_hash({4}))
print(make_hash("1"))
print(make_hash({"2": 2}))
print(make_hash({"2": 3}))
print(make_hash({"3": 2}))
print(make_hash({"3": 3}))
| 26.526316 | 79 | 0.608466 | 231 | 1,512 | 3.731602 | 0.359307 | 0.185615 | 0.211137 | 0.146172 | 0.185615 | 0.185615 | 0.185615 | 0.154292 | 0.154292 | 0.154292 | 0 | 0.021911 | 0.24537 | 1,512 | 56 | 80 | 27 | 0.733567 | 0.308862 | 0 | 0.117647 | 0 | 0 | 0.023857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.029412 | 0 | 0.147059 | 0.441176 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
f68d17d7299ac799101ffa6cca72435999a5d7d2 | 1,036 | py | Python | rpython/translator/jvm/test/test_unicode.py | kantai/passe-pypy-taint-tracking | b60a3663f8fe89892dc182c8497aab97e2e75d69 | [
"MIT"
] | 2 | 2016-07-06T23:30:20.000Z | 2017-05-30T15:59:31.000Z | rpython/translator/jvm/test/test_unicode.py | kantai/passe-pypy-taint-tracking | b60a3663f8fe89892dc182c8497aab97e2e75d69 | [
"MIT"
] | null | null | null | rpython/translator/jvm/test/test_unicode.py | kantai/passe-pypy-taint-tracking | b60a3663f8fe89892dc182c8497aab97e2e75d69 | [
"MIT"
] | 2 | 2020-07-09T08:14:22.000Z | 2021-01-15T18:01:25.000Z | import py
from rpython.translator.jvm.test.runtest import JvmTest
from rpython.rtyper.test.test_runicode import BaseTestRUnicode
# ====> ../../../rpython/test/test_runicode.py
class TestJvmUnicode(JvmTest, BaseTestRUnicode):
EMPTY_STRING_HASH = 0
def test_unichar_const(self):
def fn():
return u'\u03b1'
assert self.interpret(fn, []) == u'\u03b1'
def test_unichar_eq(self):
py.test.skip("JVM doesn't support unicode for command line arguments")
test_unichar_ord = test_unichar_eq
test_unichar_hash = test_unichar_eq
test_char_unichar_eq = test_unichar_eq
test_char_unichar_eq_2 = test_unichar_eq
def test_getitem_exc(self):
py.test.skip('fixme!')
def test_unicode_constant(self):
const = u''.join(map(unichr, range(0, 256)))
const = const + u'\ufffd'
def fn():
return const
res = self.interpret(fn, [])
assert res == const
def test_strformat_unicode_arg(self):
py.test.skip('fixme!')
| 28.777778 | 78 | 0.662162 | 138 | 1,036 | 4.724638 | 0.391304 | 0.134969 | 0.099693 | 0.064417 | 0.150307 | 0.092025 | 0.092025 | 0 | 0 | 0 | 0 | 0.014963 | 0.225869 | 1,036 | 35 | 79 | 29.6 | 0.798005 | 0.042471 | 0 | 0.153846 | 0 | 0 | 0.084848 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.269231 | false | 0 | 0.115385 | 0.076923 | 0.692308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
f69343a676b873183067ddb3ba34a74a85ecba56 | 145 | py | Python | Python/pythonProject/exercise/ex048.py | JoaoMoreira2002/Linguagens-de-programacao | b91a902188428238a567c8f52b2ac9028378c4df | [
"MIT"
] | null | null | null | Python/pythonProject/exercise/ex048.py | JoaoMoreira2002/Linguagens-de-programacao | b91a902188428238a567c8f52b2ac9028378c4df | [
"MIT"
] | null | null | null | Python/pythonProject/exercise/ex048.py | JoaoMoreira2002/Linguagens-de-programacao | b91a902188428238a567c8f52b2ac9028378c4df | [
"MIT"
] | null | null | null | soma = 0
for c in range(0, 6):
x = int(input('Digite 6 números número'))
if x % 2 != 0:
soma = x + soma
print(x)
print(soma)
| 18.125 | 45 | 0.524138 | 26 | 145 | 2.923077 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 0.324138 | 145 | 7 | 46 | 20.714286 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0.158621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f69fe5feaebf5157cf5127877da8650195254fcf | 523 | py | Python | Week_1 read files.py | GoreNetwork/Class_1 | 87b053baa6d3beb6a4b909149b6b3c6f49a97119 | [
"Apache-2.0"
] | null | null | null | Week_1 read files.py | GoreNetwork/Class_1 | 87b053baa6d3beb6a4b909149b6b3c6f49a97119 | [
"Apache-2.0"
] | null | null | null | Week_1 read files.py | GoreNetwork/Class_1 | 87b053baa6d3beb6a4b909149b6b3c6f49a97119 | [
"Apache-2.0"
] | null | null | null | import yaml
import json
from pprint import pprint as pp
def read_and_print_yaml_file(file):
with open(file) as f:
new_list = yaml.load(f)
print("YAML Print: \n")
print(yaml.dump(new_list, default_flow_style = False))
print("\n\n")
def read_and_print_json_file(file):
with open (file) as f:
new_list = json.load(f)
print("JSON print: \n")
pp(new_list)
print("\n\n")
read_and_print_yaml_file('my_list.yml')
read_and_print_json_file('my_list.json')
| 19.37037 | 56 | 0.648184 | 86 | 523 | 3.662791 | 0.302326 | 0.088889 | 0.152381 | 0.095238 | 0.419048 | 0.190476 | 0.190476 | 0.190476 | 0.190476 | 0 | 0 | 0 | 0.231358 | 523 | 26 | 57 | 20.115385 | 0.783582 | 0 | 0 | 0.235294 | 0 | 0 | 0.118712 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.176471 | null | null | 0.588235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
f6bd9e9472a39de7576227bf7d9a5bcd05e93f95 | 9,697 | py | Python | ocean/v1alpha/notification_pb2.py | vulpemventures/gdk-ocean | 5691e61f1cee99ae23203d069ac6043f1a18f96a | [
"MIT"
] | null | null | null | ocean/v1alpha/notification_pb2.py | vulpemventures/gdk-ocean | 5691e61f1cee99ae23203d069ac6043f1a18f96a | [
"MIT"
] | null | null | null | ocean/v1alpha/notification_pb2.py | vulpemventures/gdk-ocean | 5691e61f1cee99ae23203d069ac6043f1a18f96a | [
"MIT"
] | 1 | 2022-02-07T08:45:27.000Z | 2022-02-07T08:45:27.000Z | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: ocean/v1alpha/notification.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from ocean.v1alpha import types_pb2 as ocean_dot_v1alpha_dot_types__pb2
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n ocean/v1alpha/notification.proto\x12\rocean.v1alpha\x1a\x19ocean/v1alpha/types.proto\"]\n\x1fTransactionNotificationsRequest\x12:\n\x0b\x61\x63\x63ount_key\x18\x01 \x01(\x0b\x32\x19.ocean.v1alpha.AccountKeyR\naccountKey\"\xef\x01\n TransactionNotificationsResponse\x12:\n\x0b\x61\x63\x63ount_key\x18\x01 \x01(\x0b\x32\x19.ocean.v1alpha.AccountKeyR\naccountKey\x12\x12\n\x04txid\x18\x02 \x01(\tR\x04txid\x12\x39\n\nevent_type\x18\x03 \x01(\x0e\x32\x1a.ocean.v1alpha.TxEventTypeR\teventType\x12@\n\rblock_details\x18\x04 \x01(\x0b\x32\x1b.ocean.v1alpha.BlockDetailsR\x0c\x62lockDetails\"W\n\x19UtxosNotificationsRequest\x12:\n\x0b\x61\x63\x63ount_key\x18\x01 \x01(\x0b\x32\x19.ocean.v1alpha.AccountKeyR\naccountKey\"\xbe\x01\n\x1aUtxosNotificationsResponse\x12:\n\x0b\x61\x63\x63ount_key\x18\x01 \x01(\x0b\x32\x19.ocean.v1alpha.AccountKeyR\naccountKey\x12\'\n\x04utxo\x18\x02 \x01(\x0b\x32\x13.ocean.v1alpha.UtxoR\x04utxo\x12;\n\nevent_type\x18\x03 \x01(\x0e\x32\x1c.ocean.v1alpha.UtxoEventTypeR\teventType\"\x87\x01\n\x11\x41\x64\x64WebhookRequest\x12\x1a\n\x08\x65ndpoint\x18\x01 \x01(\tR\x08\x65ndpoint\x12>\n\nevent_type\x18\x02 \x01(\x0e\x32\x1f.ocean.v1alpha.WebhookEventTypeR\teventType\x12\x16\n\x06secret\x18\x03 \x01(\tR\x06secret\"$\n\x12\x41\x64\x64WebhookResponse\x12\x0e\n\x02id\x18\x01 \x01(\tR\x02id\"&\n\x14RemoveWebhookRequest\x12\x0e\n\x02id\x18\x01 \x01(\tR\x02id\"\x17\n\x15RemoveWebhookResponse\"U\n\x13ListWebhooksRequest\x12>\n\nevent_type\x18\x01 \x01(\x0e\x32\x1f.ocean.v1alpha.WebhookEventTypeR\teventType\"U\n\x14ListWebhooksResponse\x12=\n\x0cwebhook_info\x18\x01 \x03(\x0b\x32\x1a.ocean.v1alpha.WebhookInfoR\x0bwebhookInfo\"X\n\x0bWebhookInfo\x12\x0e\n\x02id\x18\x01 \x01(\tR\x02id\x12\x1a\n\x08\x65ndpoint\x18\x02 \x01(\tR\x08\x65ndpoint\x12\x1d\n\nis_secured\x18\x03 \x01(\x08R\tisSecured2\x8f\x04\n\x13NotificationService\x12}\n\x18TransactionNotifications\x12..ocean.v1alpha.TransactionNotificationsRequest\x1a/.ocean.v1alpha.TransactionNotificationsResponse0\x01\x12k\n\x12UtxosNotifications\x12(.ocean.v1alpha.UtxosNotificationsRequest\x1a).ocean.v1alpha.UtxosNotificationsResponse0\x01\x12S\n\nAddWebhook\x12 .ocean.v1alpha.AddWebhookRequest\x1a!.ocean.v1alpha.AddWebhookResponse\"\x00\x12\\\n\rRemoveWebhook\x12#.ocean.v1alpha.RemoveWebhookRequest\x1a$.ocean.v1alpha.RemoveWebhookResponse\"\x00\x12Y\n\x0cListWebhooks\x12\".ocean.v1alpha.ListWebhooksRequest\x1a#.ocean.v1alpha.ListWebhooksResponse\"\x00\x42\xde\x01\n\x11\x63om.ocean.v1alphaB\x11NotificationProtoP\x01Zagithub.com/vulpemventures/ocean/api-spec/protobuf/ocean/v1alpha/gen/go/ocean/v1alpha;oceanv1alpha\xa2\x02\x03OXX\xaa\x02\rOcean.V1alpha\xca\x02\rOcean\\V1alpha\xe2\x02\x19Ocean\\V1alpha\\GPBMetadata\xea\x02\x0eOcean::V1alphab\x06proto3')
_TRANSACTIONNOTIFICATIONSREQUEST = DESCRIPTOR.message_types_by_name['TransactionNotificationsRequest']
_TRANSACTIONNOTIFICATIONSRESPONSE = DESCRIPTOR.message_types_by_name['TransactionNotificationsResponse']
_UTXOSNOTIFICATIONSREQUEST = DESCRIPTOR.message_types_by_name['UtxosNotificationsRequest']
_UTXOSNOTIFICATIONSRESPONSE = DESCRIPTOR.message_types_by_name['UtxosNotificationsResponse']
_ADDWEBHOOKREQUEST = DESCRIPTOR.message_types_by_name['AddWebhookRequest']
_ADDWEBHOOKRESPONSE = DESCRIPTOR.message_types_by_name['AddWebhookResponse']
_REMOVEWEBHOOKREQUEST = DESCRIPTOR.message_types_by_name['RemoveWebhookRequest']
_REMOVEWEBHOOKRESPONSE = DESCRIPTOR.message_types_by_name['RemoveWebhookResponse']
_LISTWEBHOOKSREQUEST = DESCRIPTOR.message_types_by_name['ListWebhooksRequest']
_LISTWEBHOOKSRESPONSE = DESCRIPTOR.message_types_by_name['ListWebhooksResponse']
_WEBHOOKINFO = DESCRIPTOR.message_types_by_name['WebhookInfo']
TransactionNotificationsRequest = _reflection.GeneratedProtocolMessageType('TransactionNotificationsRequest', (_message.Message,), {
'DESCRIPTOR' : _TRANSACTIONNOTIFICATIONSREQUEST,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.TransactionNotificationsRequest)
})
_sym_db.RegisterMessage(TransactionNotificationsRequest)
TransactionNotificationsResponse = _reflection.GeneratedProtocolMessageType('TransactionNotificationsResponse', (_message.Message,), {
'DESCRIPTOR' : _TRANSACTIONNOTIFICATIONSRESPONSE,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.TransactionNotificationsResponse)
})
_sym_db.RegisterMessage(TransactionNotificationsResponse)
UtxosNotificationsRequest = _reflection.GeneratedProtocolMessageType('UtxosNotificationsRequest', (_message.Message,), {
'DESCRIPTOR' : _UTXOSNOTIFICATIONSREQUEST,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.UtxosNotificationsRequest)
})
_sym_db.RegisterMessage(UtxosNotificationsRequest)
UtxosNotificationsResponse = _reflection.GeneratedProtocolMessageType('UtxosNotificationsResponse', (_message.Message,), {
'DESCRIPTOR' : _UTXOSNOTIFICATIONSRESPONSE,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.UtxosNotificationsResponse)
})
_sym_db.RegisterMessage(UtxosNotificationsResponse)
AddWebhookRequest = _reflection.GeneratedProtocolMessageType('AddWebhookRequest', (_message.Message,), {
'DESCRIPTOR' : _ADDWEBHOOKREQUEST,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.AddWebhookRequest)
})
_sym_db.RegisterMessage(AddWebhookRequest)
AddWebhookResponse = _reflection.GeneratedProtocolMessageType('AddWebhookResponse', (_message.Message,), {
'DESCRIPTOR' : _ADDWEBHOOKRESPONSE,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.AddWebhookResponse)
})
_sym_db.RegisterMessage(AddWebhookResponse)
RemoveWebhookRequest = _reflection.GeneratedProtocolMessageType('RemoveWebhookRequest', (_message.Message,), {
'DESCRIPTOR' : _REMOVEWEBHOOKREQUEST,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.RemoveWebhookRequest)
})
_sym_db.RegisterMessage(RemoveWebhookRequest)
RemoveWebhookResponse = _reflection.GeneratedProtocolMessageType('RemoveWebhookResponse', (_message.Message,), {
'DESCRIPTOR' : _REMOVEWEBHOOKRESPONSE,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.RemoveWebhookResponse)
})
_sym_db.RegisterMessage(RemoveWebhookResponse)
ListWebhooksRequest = _reflection.GeneratedProtocolMessageType('ListWebhooksRequest', (_message.Message,), {
'DESCRIPTOR' : _LISTWEBHOOKSREQUEST,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.ListWebhooksRequest)
})
_sym_db.RegisterMessage(ListWebhooksRequest)
ListWebhooksResponse = _reflection.GeneratedProtocolMessageType('ListWebhooksResponse', (_message.Message,), {
'DESCRIPTOR' : _LISTWEBHOOKSRESPONSE,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.ListWebhooksResponse)
})
_sym_db.RegisterMessage(ListWebhooksResponse)
WebhookInfo = _reflection.GeneratedProtocolMessageType('WebhookInfo', (_message.Message,), {
'DESCRIPTOR' : _WEBHOOKINFO,
'__module__' : 'ocean.v1alpha.notification_pb2'
# @@protoc_insertion_point(class_scope:ocean.v1alpha.WebhookInfo)
})
_sym_db.RegisterMessage(WebhookInfo)
_NOTIFICATIONSERVICE = DESCRIPTOR.services_by_name['NotificationService']
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\021com.ocean.v1alphaB\021NotificationProtoP\001Zagithub.com/vulpemventures/ocean/api-spec/protobuf/ocean/v1alpha/gen/go/ocean/v1alpha;oceanv1alpha\242\002\003OXX\252\002\rOcean.V1alpha\312\002\rOcean\\V1alpha\342\002\031Ocean\\V1alpha\\GPBMetadata\352\002\016Ocean::V1alpha'
_TRANSACTIONNOTIFICATIONSREQUEST._serialized_start=78
_TRANSACTIONNOTIFICATIONSREQUEST._serialized_end=171
_TRANSACTIONNOTIFICATIONSRESPONSE._serialized_start=174
_TRANSACTIONNOTIFICATIONSRESPONSE._serialized_end=413
_UTXOSNOTIFICATIONSREQUEST._serialized_start=415
_UTXOSNOTIFICATIONSREQUEST._serialized_end=502
_UTXOSNOTIFICATIONSRESPONSE._serialized_start=505
_UTXOSNOTIFICATIONSRESPONSE._serialized_end=695
_ADDWEBHOOKREQUEST._serialized_start=698
_ADDWEBHOOKREQUEST._serialized_end=833
_ADDWEBHOOKRESPONSE._serialized_start=835
_ADDWEBHOOKRESPONSE._serialized_end=871
_REMOVEWEBHOOKREQUEST._serialized_start=873
_REMOVEWEBHOOKREQUEST._serialized_end=911
_REMOVEWEBHOOKRESPONSE._serialized_start=913
_REMOVEWEBHOOKRESPONSE._serialized_end=936
_LISTWEBHOOKSREQUEST._serialized_start=938
_LISTWEBHOOKSREQUEST._serialized_end=1023
_LISTWEBHOOKSRESPONSE._serialized_start=1025
_LISTWEBHOOKSRESPONSE._serialized_end=1110
_WEBHOOKINFO._serialized_start=1112
_WEBHOOKINFO._serialized_end=1200
_NOTIFICATIONSERVICE._serialized_start=1203
_NOTIFICATIONSERVICE._serialized_end=1730
# @@protoc_insertion_point(module_scope)
| 69.264286 | 2,806 | 0.837785 | 1,003 | 9,697 | 7.793619 | 0.21336 | 0.076756 | 0.039913 | 0.033773 | 0.258795 | 0.200972 | 0.195088 | 0.195088 | 0.175387 | 0.164641 | 0 | 0.066985 | 0.050119 | 9,697 | 139 | 2,807 | 69.76259 | 0.781674 | 0.108075 | 0 | 0.215686 | 1 | 0.04902 | 0.369958 | 0.31166 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f6c9dda278d27fd68dd586fa55c38b237c03e8a2 | 1,697 | py | Python | tests/conftest.py | numberly/flask-stupe | 1aabda272d84c0f651c6302cb5eefe11c46567ef | [
"MIT"
] | 35 | 2018-03-23T08:51:51.000Z | 2020-08-24T05:18:55.000Z | tests/conftest.py | numberly/flask-stupe | 1aabda272d84c0f651c6302cb5eefe11c46567ef | [
"MIT"
] | 25 | 2018-03-23T08:59:04.000Z | 2020-01-03T10:22:45.000Z | tests/conftest.py | numberly/flask-stupe | 1aabda272d84c0f651c6302cb5eefe11c46567ef | [
"MIT"
] | 5 | 2018-04-02T08:43:58.000Z | 2019-09-29T15:54:21.000Z | import json
import os
import pymongo
import pytest
from flask_stupe.app import Stupeflask
@pytest.fixture
def app():
return Stupeflask(__name__)
@pytest.fixture
def client(app):
return app.test_client()
# ramnes: shamelessly stolen from Flask
# https://github.com/pallets/flask/blob/0.12.1/tests/conftest.py#L18-L23
@pytest.fixture
def test_apps(monkeypatch):
monkeypatch.syspath_prepend(
os.path.abspath(os.path.join(
os.path.dirname(__file__), "test_apps")
)
)
# ramnes: we're just inheriting from pymongo.cursor.Cursor so that paginate can
# understand it's not a function to decorate
class Cursor(pymongo.cursor.Cursor):
def __init__(self, data):
self.data = data
def __del__(self):
pass
def skip(self, skip):
del self.data[:skip]
return self.data
def limit(self, limit):
del self.data[limit:]
return self.data
def sort(self, sort):
self.sort_data = sort
for sort_key, order in reversed(sort):
def get_key(d):
if hasattr(self, "collation_data"):
return d.get(sort_key, 0).lower()
return d.get(sort_key, 0)
self.data = sorted(self.data, key=get_key)
if order == -1:
self.data.reverse()
return self.data
def collation(self, collation):
self.collation_data = collation
return self.sort(self.sort_data)
def count(self):
return len(self.data)
def clone(self):
return Cursor(self.data)
def response_to_dict(response):
data = response.get_data()
return json.loads(data.decode("utf-8"))
| 22.038961 | 79 | 0.626989 | 227 | 1,697 | 4.54185 | 0.39207 | 0.093113 | 0.053346 | 0.049467 | 0.073715 | 0.034918 | 0 | 0 | 0 | 0 | 0 | 0.009646 | 0.266942 | 1,697 | 76 | 80 | 22.328947 | 0.819132 | 0.134355 | 0 | 0.12 | 0 | 0 | 0.019139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26 | false | 0.02 | 0.1 | 0.08 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
f6cd9ac1cc5a21efbc20f5274450636986c1aaf8 | 1,009 | py | Python | tests/test_pomo.py | kthy/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | 1 | 2021-06-04T07:15:02.000Z | 2021-06-04T07:15:02.000Z | tests/test_pomo.py | kthy/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | 9 | 2021-02-20T22:33:05.000Z | 2021-04-12T17:35:48.000Z | tests/test_pomo.py | pyxy-dk/wren | 62e9439ea82a1d984f07fa8cd00421e0e640196f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test the gettext manipulation methods."""
from os import remove
from os.path import exists
from fixtures import fixture_wowsdir # pylint: disable=unused-import
from wren.pomo import backup_original_mo, restore_original_mo
LC = "res/texts/en/LC_MESSAGES"
def test_backup_original_mo(wowsdir):
"""Test the backup_original_mo method."""
assert exists(wowsdir)
assert exists(f"{wowsdir}/{LC}/global.mo")
assert not exists(f"{wowsdir}/{LC}/global.mo.original")
backup_original_mo(wowsdir, "en")
assert exists(f"{wowsdir}/{LC}/global.mo")
assert exists(f"{wowsdir}/{LC}/global.mo.original")
def test_restore_original_mo(wowsdir):
"""Test the restore_original_mo method"""
assert not exists(f"{wowsdir}/{LC}/global.mo.original")
backup_original_mo(wowsdir, "en")
remove(f"{wowsdir}/{LC}/global.mo")
assert not exists(f"{wowsdir}/{LC}/global.mo")
restore_original_mo(wowsdir, "en")
assert exists(f"{wowsdir}/{LC}/global.mo")
| 31.53125 | 69 | 0.710605 | 145 | 1,009 | 4.793103 | 0.255172 | 0.129496 | 0.115108 | 0.184173 | 0.543885 | 0.47482 | 0.47482 | 0.428777 | 0.402878 | 0.402878 | 0 | 0.001145 | 0.134787 | 1,009 | 31 | 70 | 32.548387 | 0.79496 | 0.161546 | 0 | 0.368421 | 0 | 0 | 0.300362 | 0.293124 | 0 | 0 | 0 | 0 | 0.421053 | 1 | 0.105263 | false | 0 | 0.210526 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f6e26515d61da611c29ef2926475fb41d2b6ada2 | 235 | py | Python | map.py | ounes/Projet-tfidf-python | 72ced47ecdc9ff2c4e70ae8c40aed1c39e30e8d5 | [
"Apache-2.0"
] | null | null | null | map.py | ounes/Projet-tfidf-python | 72ced47ecdc9ff2c4e70ae8c40aed1c39e30e8d5 | [
"Apache-2.0"
] | null | null | null | map.py | ounes/Projet-tfidf-python | 72ced47ecdc9ff2c4e70ae8c40aed1c39e30e8d5 | [
"Apache-2.0"
] | null | null | null | import sys, re, os
for line in sys.stdin:
line = line.strip()
line = re.sub('[^a-z]',' ',line)
customKey, count = line.split('\t',1)
word, filename = customKey.split(';',1)
print '%s;%s\t%s' % (filename,word,count) | 29.375 | 45 | 0.578723 | 37 | 235 | 3.675676 | 0.567568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010638 | 0.2 | 235 | 8 | 45 | 29.375 | 0.712766 | 0 | 0 | 0 | 0 | 0 | 0.080508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.142857 | null | null | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f6ea07c272d03f414c134fd912535ed38569aaea | 853 | py | Python | python/tvm/autotvm/task/__init__.py | weberlo/tvm | e4b9f986dab8c48ba109a52106565fc4be6b67c4 | [
"Apache-2.0"
] | 2 | 2020-06-24T03:16:34.000Z | 2020-06-24T03:16:36.000Z | python/tvm/autotvm/task/__init__.py | ganzhiliang/tvm | b076cad542524cb3744149d953c341b5815f6474 | [
"Apache-2.0"
] | 4 | 2020-12-04T21:00:38.000Z | 2022-01-22T12:49:30.000Z | python/tvm/autotvm/task/__init__.py | ganzhiliang/tvm | b076cad542524cb3744149d953c341b5815f6474 | [
"Apache-2.0"
] | 1 | 2019-09-20T07:05:27.000Z | 2019-09-20T07:05:27.000Z | """Task is a tunable composition of template functions.
Tuner takes a tunable task and optimizes the joint configuration
space of all the template functions in the task.
This module defines the task data structure, as well as a collection(zoo)
of typical tasks of interest.
"""
from .task import Task, create, register, template, get_config, args_to_workload
from .space import ConfigSpace, ConfigEntity
from .code_hash import attach_code_hash, attach_code_hash_to_arg
from .dispatcher import dispatcher, DispatchContext, ApplyConfig, ApplyHistoryBest, \
FallbackContext, clear_fallback_cache, ApplyGraphBest
from .topi_integration import register_topi_compute, register_topi_schedule
from .nnvm_integration import extract_from_graph, extract_from_multiple_graph
from .relay_integration import extract_from_program, extract_from_multiple_program
| 47.388889 | 85 | 0.84408 | 118 | 853 | 5.855932 | 0.542373 | 0.063676 | 0.040521 | 0.081042 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113716 | 853 | 17 | 86 | 50.176471 | 0.914021 | 0.317702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.875 | 0 | 0.875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
f6f53663eccbe089a4826a98587556015e23f911 | 2,382 | py | Python | glimslib/simulation_helpers/math_linear_elasticity.py | danielabler/glimslib | 3d345bf3ed2d364e83a00ad9297dd5f81d7193db | [
"MIT"
] | null | null | null | glimslib/simulation_helpers/math_linear_elasticity.py | danielabler/glimslib | 3d345bf3ed2d364e83a00ad9297dd5f81d7193db | [
"MIT"
] | 5 | 2019-01-05T01:38:05.000Z | 2019-06-03T16:49:27.000Z | glimslib/simulation_helpers/math_linear_elasticity.py | danielabler/glimslib | 3d345bf3ed2d364e83a00ad9297dd5f81d7193db | [
"MIT"
] | 3 | 2019-12-28T16:01:48.000Z | 2022-01-20T08:44:01.000Z | from ufl import Identity
from glimslib.fenics_local import *
# -- youngs modulus, poisson ration -> mu, lambda
def compute_mu(young_modulus, poisson_ratio):
return young_modulus / (2.0 * (1.0 + poisson_ratio))
def compute_lambda(young_modulus, poisson_ratio):
return young_modulus * poisson_ratio / ((1.0 + poisson_ratio) * (1.0 - 2.0 * poisson_ratio))
def compute_strain(displacement):
return sym(grad(displacement))
def compute_stress(displacement, mu, lmbda):
return 2.0 * mu * compute_strain(displacement) + \
lmbda * tr(compute_strain(displacement)) * Identity(len(displacement))
def compute_pressure_from_stress_tensor(stress_tensor):
pressure = 1.0/3.0*tr(stress_tensor)
return pressure
def u_norm(u):
return inner(u,u)**0.5
def compute_total_jacobian(displacement):
return det(Identity(len(displacement)) + grad(displacement))
def compute_growth_induced_jacobian(growth_induced_strain, dim):
return det(Identity(dim) + growth_induced_strain)
def compute_growth_induced_strain(conc_field, coupling_constant, dim):
return conc_field * coupling_constant * Identity(dim)
def compute_deviatoric_stress_tensor(stress_tensor, dim):
return stress_tensor - (1. / 3.) * tr(stress_tensor) * Identity(dim)
def compute_van_mises_stress(stress_tensor, dim):
dev_stress = compute_deviatoric_stress_tensor(stress_tensor, dim)
return sqrt(3. / 2. * inner(dev_stress, dev_stress))
def first_invariant(self, tensor):
"""
First invariant is trace of tensor.
"""
return tr(tensor)
def second_invariant(self, tensor):
"""
Second invariant is 1/2*( trace(T)^2 - trace(T^2) )
"""
return 0.5*(tr(tensor)*tr(tensor) - tr(tensor*tensor))
def third_invariant(self, tensor):
"""
Third invariant is determinant
"""
return det(tensor)
def compute_eigenvalues(self, tensor):
"""
check example
https://fenicsproject.org/olddocs/dolfin/1.3.0/python/demo/documented/eigenvalue/python/documentation.html
"""
pass
def compute_concentration_deformed(concentration, displacement, coupling_constant, dim):
jac_total = compute_total_jacobian(displacement)
strain_growth = compute_growth_induced_strain(concentration, coupling_constant, dim)
jac_growth = compute_growth_induced_jacobian(strain_growth, dim)
return concentration * jac_growth / jac_total | 33.549296 | 110 | 0.739715 | 314 | 2,382 | 5.359873 | 0.251592 | 0.071301 | 0.047534 | 0.042781 | 0.136661 | 0.109329 | 0.109329 | 0.059418 | 0 | 0 | 0 | 0.015354 | 0.152393 | 2,382 | 71 | 111 | 33.549296 | 0.818227 | 0.120907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.025 | 0.05 | 0.225 | 0.825 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
100e3d433e6cbc6076926ab92453b0bbfb814e23 | 382 | py | Python | rn/validation.py | vikneswaran20/rn | 33e0bfaf58bb8a5ec54c6d010035693b35e9909d | [
"BSD-3-Clause"
] | null | null | null | rn/validation.py | vikneswaran20/rn | 33e0bfaf58bb8a5ec54c6d010035693b35e9909d | [
"BSD-3-Clause"
] | null | null | null | rn/validation.py | vikneswaran20/rn | 33e0bfaf58bb8a5ec54c6d010035693b35e9909d | [
"BSD-3-Clause"
] | null | null | null | import click
def validate_range(ctx, param, value):
if value[0] >= value[1]:
raise click.BadParameter('The given lower range should be lesser than upper range')
return value
def validate_precision(ctx, param, value):
if value is not None and value > 10:
raise click.BadParameter('The precision should be less than or equal to 10')
return value
| 23.875 | 91 | 0.696335 | 57 | 382 | 4.631579 | 0.561404 | 0.083333 | 0.098485 | 0.113636 | 0.151515 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020339 | 0.227749 | 382 | 15 | 92 | 25.466667 | 0.874576 | 0 | 0 | 0.222222 | 0 | 0 | 0.269634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
63daadf022a06c37f29fd2363e0a6d21e5f70146 | 2,164 | py | Python | leetcode/license_Key_Formatting.py | Aithosa/Notes | c20f2b96af498571e08cd71ce4a0fde8b8cf772c | [
"MIT"
] | 3 | 2018-12-25T13:34:27.000Z | 2019-10-03T05:02:18.000Z | leetcode/license_Key_Formatting.py | YellingF/Notes | 8da93d406b71345cca11159e41ef4111107dd73d | [
"MIT"
] | null | null | null | leetcode/license_Key_Formatting.py | YellingF/Notes | 8da93d406b71345cca11159e41ef4111107dd73d | [
"MIT"
] | 1 | 2018-11-25T22:48:31.000Z | 2018-11-25T22:48:31.000Z | # 我的，无法全通过
class Solution:
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
lists = []
s = ''
for ele in S:
if ele.isalnum():
lists.append(ele.upper())
for _ in lists:
count = K
while(count > 0):
s += lists.pop()
count -= 1
if count == 0:
s += '-'
if s[-1] == '-':
s = s[:len(s)-1]
return s[::-1]
# 找到的答案
class Solution:
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
formatted = []
key = S.replace('-', '').upper()
i = len(key) - K
while(i>=0):
formatted.append(key[i:i+K])
i -= K
if i != -K:
formatted.append(key[:i+K])
return '-'.join(formatted[::-1])
# 同等级
class Solution:
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
a_s = ''.join(S.upper().split('-'))
length = len(a_s)
r = []
first = length % K if length %K != 0 else K
r.append(a_s[:first])
for i in range(first, length, K):
r.append(a_s[i:i+K])
return '-'.join(r)
# 依次快
class Solution:
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
S=S.replace('-','').upper()
if len(S)%K:
S='#'*(K-len(S)%K)+S
return '-'.join(S[x:x+K] for x in range(0,len(S),K)).replace('#','')
class Solution:
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
a_s = ''.join(S.upper().split('-'))
length = len(a_s)
r = []
first = length % K if length %K != 0 else K
r.append(a_s[:first])
for i in range(first, length, K):
r.append(a_s[i:i+K])
return '-'.join(r) | 23.521739 | 76 | 0.406192 | 266 | 2,164 | 3.270677 | 0.165414 | 0.02069 | 0.091954 | 0.206897 | 0.645977 | 0.645977 | 0.645977 | 0.645977 | 0.645977 | 0.645977 | 0 | 0.00885 | 0.425601 | 2,164 | 92 | 77 | 23.521739 | 0.69107 | 0.098429 | 0 | 0.481481 | 0 | 0 | 0.006845 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
63dedcd1205110627eb557af3fdccee54ae8fa10 | 2,772 | py | Python | videodata.py | AkBKukU/DemonetizationDetection | d98eb651d377f78228ef20e7d47d8dd0b53e948f | [
"MIT"
] | 9 | 2018-02-06T20:09:48.000Z | 2021-07-23T14:46:08.000Z | videodata.py | AkBKukU/DemonetizationDetection | d98eb651d377f78228ef20e7d47d8dd0b53e948f | [
"MIT"
] | null | null | null | videodata.py | AkBKukU/DemonetizationDetection | d98eb651d377f78228ef20e7d47d8dd0b53e948f | [
"MIT"
] | 3 | 2018-02-16T01:55:32.000Z | 2019-05-26T12:05:18.000Z | #!/usr/bin/python
class VideoData(object):
percent_confidence_limit = 25
def __init__(self):
# Standard Data
self._video_id = None
self._title = None
self._description = None
self._published = None
# Metrics
self._date_start = None
self._date_end = None
self._views = None
self._monetizedPlaybacks = None
self._estimatedRevenue = None
self._estimatedMinutesWatched = None
self._percent = None
self._percent_confidence = None
@property
def id(self):
return self._video_id
@id.setter
def id(self, value):
self._video_id = value
@property
def title(self):
return self._title
@title.setter
def title(self, value):
self._title = value
@property
def description(self):
return self._description
@description.setter
def description(self, value):
self._descrioption = value
@property
def published(self):
return self._published
@published.setter
def published(self, value):
self._published = value
@property
def date_start(self):
return self._date_start
@date_start.setter
def date_start(self, value):
self._date_start = value
@property
def date_end(self):
return self._date_end
@date_end.setter
def date_end(self, value):
self._date_end = value
@property
def views(self):
return self._views
@views.setter
def views(self, value):
self._views = value
@property
def monetizedPlaybacks(self):
return self._monetizedPlaybacks
@monetizedPlaybacks.setter
def monetizedPlaybacks(self, value):
self._monetizedPlaybacks = value
@property
def estimatedRevenue(self):
return self._estimatedRevenue
@estimatedRevenue.setter
def estimatedRevenue(self, value):
self._estimatedRevenue = value
@property
def estimatedMinutesWatched(self):
return self._estimatedMinutesWatched
@estimatedMinutesWatched.setter
def estimatedMinutesWatched(self, value):
self._estimatedMinutesWatched = value
@property
def percent(self):
if self._percent is None and self.views > 0:
self._percent = self._monetizedPlaybacks / self._views
self._percent_confidence = self._views / \
self.percent_confidence_limit
else:
self._percent = 0
self._percent_confidence = 0
return self._percent
@percent.setter
def percent(self, value):
return self._percent
@property
def percent_confidence(self):
return self._percent_confidence
| 22.176 | 66 | 0.634199 | 285 | 2,772 | 5.919298 | 0.136842 | 0.07706 | 0.091286 | 0.023711 | 0.035566 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002547 | 0.291847 | 2,772 | 124 | 67 | 22.354839 | 0.856852 | 0.013709 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.263736 | false | 0 | 0 | 0.131868 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
63e836bbde06a603311afde96eeb49e33bb3127f | 585 | py | Python | RPi.GPIO_BP/test/event_detect.py | k0staa/ProjectRobot | 5dc897a6e3890f5b025c93abb6bf8a3748f4da04 | [
"Unlicense",
"MIT"
] | null | null | null | RPi.GPIO_BP/test/event_detect.py | k0staa/ProjectRobot | 5dc897a6e3890f5b025c93abb6bf8a3748f4da04 | [
"Unlicense",
"MIT"
] | null | null | null | RPi.GPIO_BP/test/event_detect.py | k0staa/ProjectRobot | 5dc897a6e3890f5b025c93abb6bf8a3748f4da04 | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
import RPi.GPIO as GPIO
import time
from threading import Timer
SWITCH_PIN = 10
GPIO.setmode(GPIO.BOARD)
GPIO.setup(SWITCH_PIN,GPIO.IN,GPIO.PUD_DOWN)
print "\n value_%d = %d\n" %(SWITCH_PIN,GPIO.input(SWITCH_PIN))
GPIO.add_event_detect(SWITCH_PIN, GPIO.RISING,bouncetime=200) # add rising edge detection on a channel
switchcount = 0
while switchcount < 2:
if GPIO.event_detected(SWITCH_PIN):
switchcount += 1
print 'Button pressed',switchcount
print "\n value_%d = %d\n" %(SWITCH_PIN,GPIO.input(SWITCH_PIN))
GPIO.remove_event_detect(SWITCH_PIN)
| 26.590909 | 103 | 0.757265 | 95 | 585 | 4.484211 | 0.494737 | 0.190141 | 0.183099 | 0.056338 | 0.211268 | 0.211268 | 0.211268 | 0.211268 | 0.211268 | 0.211268 | 0 | 0.015625 | 0.124786 | 585 | 21 | 104 | 27.857143 | 0.816406 | 0.100855 | 0 | 0.133333 | 0 | 0 | 0.09542 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.2 | null | null | 0.2 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
63fb0573aee01557133f9033806f06f48ca4f117 | 324 | py | Python | Curso Python/Mundo 1/Modulo3/Desafios/Desafio2/des022.py | catabimbas/Curso-Python | 72549952db77fa9b0ea3746b83f94592e3fdeb30 | [
"MIT"
] | null | null | null | Curso Python/Mundo 1/Modulo3/Desafios/Desafio2/des022.py | catabimbas/Curso-Python | 72549952db77fa9b0ea3746b83f94592e3fdeb30 | [
"MIT"
] | null | null | null | Curso Python/Mundo 1/Modulo3/Desafios/Desafio2/des022.py | catabimbas/Curso-Python | 72549952db77fa9b0ea3746b83f94592e3fdeb30 | [
"MIT"
] | null | null | null | nome = str(input('Digite o seu nome completo: '))
nomelista = nome.split()
print('O nome em maiúscula: {}'.format(nome.upper()))
print('O nome em minúscula: {}'.format(nome.lower()))
print('O total de letras são {} letras'.format(len(nome.replace(' ', ''))))
print('O primeiro nome tem {} letras'.format(len(nomelista[0])))
| 46.285714 | 75 | 0.67284 | 48 | 324 | 4.541667 | 0.520833 | 0.110092 | 0.091743 | 0.110092 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003472 | 0.111111 | 324 | 6 | 76 | 54 | 0.753472 | 0 | 0 | 0 | 0 | 0 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
12041bb4c8c172c7a8516ee1a933b53c4a56bca9 | 129 | py | Python | pycoview/__init__.py | suddensleep/pycoview | 997b8b6b061c31b998ee3715930102df37b1b5f1 | [
"MIT"
] | null | null | null | pycoview/__init__.py | suddensleep/pycoview | 997b8b6b061c31b998ee3715930102df37b1b5f1 | [
"MIT"
] | null | null | null | pycoview/__init__.py | suddensleep/pycoview | 997b8b6b061c31b998ee3715930102df37b1b5f1 | [
"MIT"
] | null | null | null | """Top-level package for pycoview."""
__author__ = """John Gilling"""
__email__ = 'suddensleep@gmail.com'
__version__ = '0.1.0'
| 21.5 | 37 | 0.689922 | 16 | 129 | 4.8125 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.116279 | 129 | 5 | 38 | 25.8 | 0.649123 | 0.24031 | 0 | 0 | 0 | 0 | 0.413043 | 0.228261 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1207c12108cc05c8f3dbe01109afe217669399f0 | 199 | py | Python | BaekJoon Online Judge/step/3-For-Loop/[15553] fast_A_plus_B.py | TyeolRik/CodingProblems | 5dcc371eb0f47d3ee2638416516aa7733555f088 | [
"MIT"
] | null | null | null | BaekJoon Online Judge/step/3-For-Loop/[15553] fast_A_plus_B.py | TyeolRik/CodingProblems | 5dcc371eb0f47d3ee2638416516aa7733555f088 | [
"MIT"
] | null | null | null | BaekJoon Online Judge/step/3-For-Loop/[15553] fast_A_plus_B.py | TyeolRik/CodingProblems | 5dcc371eb0f47d3ee2638416516aa7733555f088 | [
"MIT"
] | null | null | null | # https://www.acmicpc.net/problem/15552
import sys
a = int(sys.stdin.readline().rstrip())
b = []
for i in range(a):
b.append(sys.stdin.readline().split())
print(int(b[i][0]) + int(b[i][1])) | 22.111111 | 42 | 0.61809 | 35 | 199 | 3.514286 | 0.657143 | 0.130081 | 0.260163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040698 | 0.135678 | 199 | 9 | 43 | 22.111111 | 0.674419 | 0.18593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
1234411ca64cf9aa5a9e159d0684f9681511df22 | 2,100 | py | Python | NeuralNetwork.py | Aklaran/neural-net-playground | 44651b95b863ef3cd9dca41a60c09554f9ec1b41 | [
"MIT"
] | null | null | null | NeuralNetwork.py | Aklaran/neural-net-playground | 44651b95b863ef3cd9dca41a60c09554f9ec1b41 | [
"MIT"
] | null | null | null | NeuralNetwork.py | Aklaran/neural-net-playground | 44651b95b863ef3cd9dca41a60c09554f9ec1b41 | [
"MIT"
] | null | null | null | import numpy as np
class NeuralNetwork:
def __init__(self, layerSizes):
# shape of each weight matrix, which correspond to the relative sizes of
# the adjacent layers which the weights connect
weightShapes = [(height, width) for height, width in zip(layerSizes[1:],layerSizes[:-1])]
# Weights determine the slope of each decision boundary.
# list containing the actual weights of each neural connection
# initialized as random numbers in a normal distribution,
# divided by the square of the size of the layer to normalize for large layer sizes.
# Normalization is done to ensure the inputs correspond to large slopes in activation function.
# Large slopes means the network will learn faster (not sure why)
# These weights will change as the network discovers the correct function.
self.weights = [np.random.standard_normal(shape)/shape[1]**.5 for shape in weightShapes]
# Biases allow translation of decision boundaries.
# Must be added in every layer except input layer,
# stored as a column vector of the same size as the layer.
# initialized to a zero vector
self.biases = [np.zeros((size,1)) for size in layerSizes[1:]]
# feed the input through the network
# output the networks perdictions
def predict(self, activation):
# iterate through each layer as represented by the weight connections between layers
# and associated biases
for weight, bias in zip(self.weights, self.biases):
# calculate the activation for this layer by multiplying the current weight matrix
# by the previous activation and adding the bias.
# At first iteration, activation is just the inputs.
activation = self.activation(np.matmul(weight, activation) + bias)
return activation
# activation function, which allows the network to make non-linear decision boundaries.
@staticmethod
def activation(x):
# returns a simple sigmoid function
return 1/(1+np.exp(-x)) | 51.219512 | 103 | 0.689524 | 278 | 2,100 | 5.190647 | 0.456835 | 0.01386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005102 | 0.253333 | 2,100 | 41 | 104 | 51.219512 | 0.915179 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0.076923 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
12384056a6bce1e3a5c37dd793fed23971e30a14 | 463 | py | Python | todo/models.py | arthtyagi/gettit | 26047f85a7cf0a5f380cde4e18f9bcc88bb27db6 | [
"MIT"
] | 6 | 2020-05-30T18:10:08.000Z | 2021-11-30T14:39:41.000Z | todo/models.py | arthtyagi/gettit | 26047f85a7cf0a5f380cde4e18f9bcc88bb27db6 | [
"MIT"
] | 18 | 2020-06-21T12:04:47.000Z | 2022-01-13T02:57:16.000Z | todo/models.py | arthtyagi/gettit | 26047f85a7cf0a5f380cde4e18f9bcc88bb27db6 | [
"MIT"
] | 1 | 2020-08-30T01:42:54.000Z | 2020-08-30T01:42:54.000Z | from django.db import models
from django.urls import reverse
from django.contrib.auth.models import User
class Todo(models.Model):
title = models.CharField(max_length=30)
user = models.ForeignKey(User, on_delete=models.CASCADE)
content= models.CharField(max_length=450,blank=True)
created = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.title
def get_absolute_url(self):
return reverse('todo:detail', kwargs={'pk': self.pk})
| 28.9375 | 57 | 0.779698 | 69 | 463 | 5.072464 | 0.594203 | 0.085714 | 0.102857 | 0.137143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012077 | 0.105832 | 463 | 15 | 58 | 30.866667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.028078 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.25 | 0.166667 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
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