update virtualenv version (1.8.4 -> 1.9.1)

This commit is contained in:
Yamashita Yuu
2013-04-25 21:45:44 +09:00
parent ebeb3dcb71
commit d927b2e137

View File

@@ -4,7 +4,7 @@
# If you change the version here, change it in setup.py # If you change the version here, change it in setup.py
# and docs/conf.py as well. # and docs/conf.py as well.
__version__ = "1.8.4" # following best practices __version__ = "1.9.1" # following best practices
virtualenv_version = __version__ # legacy, again virtualenv_version = __version__ # legacy, again
import base64 import base64
@@ -861,6 +861,19 @@ def main():
help='Use Distribute instead of Setuptools. Set environ variable ' help='Use Distribute instead of Setuptools. Set environ variable '
'VIRTUALENV_DISTRIBUTE to make it the default ') 'VIRTUALENV_DISTRIBUTE to make it the default ')
parser.add_option(
'--no-setuptools',
dest='no_setuptools',
action='store_true',
help='Do not install distribute/setuptools (or pip) '
'in the new virtualenv.')
parser.add_option(
'--no-pip',
dest='no_pip',
action='store_true',
help='Do not install pip in the new virtualenv.')
parser.add_option( parser.add_option(
'--setuptools', '--setuptools',
dest='use_distribute', dest='use_distribute',
@@ -961,7 +974,9 @@ def main():
use_distribute=options.use_distribute, use_distribute=options.use_distribute,
prompt=options.prompt, prompt=options.prompt,
search_dirs=options.search_dirs, search_dirs=options.search_dirs,
never_download=options.never_download) never_download=options.never_download,
no_setuptools=options.no_setuptools,
no_pip=options.no_pip)
if 'after_install' in globals(): if 'after_install' in globals():
after_install(options, home_dir) after_install(options, home_dir)
@@ -1048,7 +1063,8 @@ def call_subprocess(cmd, show_stdout=True,
def create_environment(home_dir, site_packages=False, clear=False, def create_environment(home_dir, site_packages=False, clear=False,
unzip_setuptools=False, use_distribute=False, unzip_setuptools=False, use_distribute=False,
prompt=None, search_dirs=None, never_download=False): prompt=None, search_dirs=None, never_download=False,
no_setuptools=False, no_pip=False):
""" """
Creates a new environment in ``home_dir``. Creates a new environment in ``home_dir``.
@@ -1066,14 +1082,16 @@ def create_environment(home_dir, site_packages=False, clear=False,
install_distutils(home_dir) install_distutils(home_dir)
if use_distribute: if not no_setuptools:
install_distribute(py_executable, unzip=unzip_setuptools, if use_distribute:
search_dirs=search_dirs, never_download=never_download) install_distribute(py_executable, unzip=unzip_setuptools,
else: search_dirs=search_dirs, never_download=never_download)
install_setuptools(py_executable, unzip=unzip_setuptools, else:
search_dirs=search_dirs, never_download=never_download) install_setuptools(py_executable, unzip=unzip_setuptools,
search_dirs=search_dirs, never_download=never_download)
install_pip(py_executable, search_dirs=search_dirs, never_download=never_download) if not no_pip:
install_pip(py_executable, search_dirs=search_dirs, never_download=never_download)
install_activate(home_dir, bin_dir, prompt) install_activate(home_dir, bin_dir, prompt)
@@ -1189,8 +1207,9 @@ def copy_required_modules(dst_prefix):
else: else:
if f is not None: if f is not None:
f.close() f.close()
# special-case custom readline.so on OS X: # special-case custom readline.so on OS X, but not for pypy:
if modname == 'readline' and sys.platform == 'darwin' and not filename.endswith(join('lib-dynload', 'readline.so')): if modname == 'readline' and sys.platform == 'darwin' and not (
is_pypy or filename.endswith(join('lib-dynload', 'readline.so'))):
dst_filename = join(dst_prefix, 'lib', 'python%s' % sys.version[:3], 'readline.so') dst_filename = join(dst_prefix, 'lib', 'python%s' % sys.version[:3], 'readline.so')
else: else:
dst_filename = change_prefix(filename, dst_prefix) dst_filename = change_prefix(filename, dst_prefix)
@@ -1351,11 +1370,6 @@ def install_python(home_dir, lib_dir, inc_dir, bin_dir, site_packages, clear):
if sys.executable != py_executable: if sys.executable != py_executable:
## FIXME: could I just hard link? ## FIXME: could I just hard link?
executable = sys.executable executable = sys.executable
if is_cygwin and os.path.exists(executable + '.exe'):
# Cygwin misreports sys.executable sometimes
executable += '.exe'
py_executable += '.exe'
logger.info('Executable actually exists in %s' % executable)
shutil.copyfile(executable, py_executable) shutil.copyfile(executable, py_executable)
make_exe(py_executable) make_exe(py_executable)
if is_win or is_cygwin: if is_win or is_cygwin:
@@ -1901,143 +1915,146 @@ def convert(s):
##file site.py ##file site.py
SITE_PY = convert(""" SITE_PY = convert("""
eJzFPf1z2zaWv/OvwMqToeTKdOJ0OztO3RsncVrvuYm3SWdz63q0lARZrCmSJUjL6s3d337vAwAB eJzFPf1z2zaWv/OvwMqToZTIdOK0vR2nzo2TOK3v3MTbpLO5dT1aSoIs1hTJEqRl7c3d337vAwAB
kpLtTXdO04klEnh4eHhfeHgPHQwGp0Uhs7lY5fM6lULJuJwtRRFXSyUWeSmqZVLOD4q4rDbwdHYb kpLtTXdO04klEnh4eHhfeHgPHQwGJ0Uhs7lY5fM6lULJuJwtRRFXSyUWeSmqZVLO94u4rDbwdHYT
30glqlyojYqwVRQE+1/4CfbFp2WiDArwLa6rfBVXySxO041IVkVeVnIu5nWZZDciyZIqidPkd2iR X0slqlyojYqwVRQET7/yEzwVn5eJMijAt7iu8lVcJbM4TTciWRV5Wcm5mNdlkl2LJEuqJE6Tf0CL
Z5HY/3IMgvNMwMzTRJbiTpYK4CqRL8TlplrmmRjWBc75RfTn+OVoLNSsTIoKGpQaZ6DIMq6CTMo5 PIvE06/HIDjLBMw8TWQpbmWpAK4S+UJcbKplnolhXeCcX0Tfxi9HY6FmZVJU0KDUOANFlnEVZFLO
oAktawWkTCp5oAo5SxbJzDZc53U6F0Uaz6T45z95atQ0DAOVr+R6KUspMkAGYEqAVSAe8DUpxSyf AU1oWSsgZVLJfVXIWbJIZrbhOq/TuSjSeCbF3//OU6OmYRiofCXXS1lKkQEyAFMCrALxgK9JKWb5
y0iI13IW4wD8vCFWwNDGuGYKyZjlIs2zG5hTJmdSqbjciOG0rggQoSzmOeCUAAZVkqbBOi9v1QiW XEZCvJGzGAfg5w2xAoY2xjVTSMYsF2meXcOcMjmTSsXlRgyndUWACGUxzwGnBDCokjQN1nl5o0aw
lNZjDY9EzOzhT4bZA+aJ43c5B3D8kAU/Z8n9mGED9yC4aslsU8pFci9iBAs/5b2cTfSzYbIQ82Sx pLQea3gkYmYPfzLMHjBPHL/LOYDjxyz4JUvuxgwbuAfBVUtmm1IukjsRI1j4Ke/kbKKfDZOFmCeL
ABpk1QibBIyAEmkyPSxoOb7VK/TdIWFluTKGMSSizI35JfWIgvNKxKkCtq0LpJEizN/KaRJnQI3s BdAgq0bYJGAElEiT6UFBy/G9XqHXB4SV5coYxpCIMjfml9QjCs4qEacK2LYukEaKMH8np0mcATWy
DoYDiEDSoG+ceaIqOw7NTuQAoMR1rEBKVkoMV3GSAbP+GM8I7b8n2TxfqxFRAFZLiV9rVbnzH/YQ WxgOIAJJg75x5omq7Dg0O5EDgBLXsQIpWSkxXMVJBsz6UzwjtP+aZPN8rUZEAVgtJX6rVeXOf9hD
AFo7BBgHuFhmNessTW5luhkBAp8A+1KqOq1QIOZJKWdVXiZSEQBAbSPkPSA9FnEpNQmZM43cjon+ AGjtEGAc4GKZ1ayzNLmR6WYECHwG7Eup6rRCgZgnpZxVeZlIRQAAtY2Qd4D0WMSl1CRkzjRyOyb6
RJMkw4VFAUOBx5dIkkVyU5ckYWKRAOcCV7z78JN4e/b6/PS95jEDjGX2ZgU4AxRaaAcnGEAc1qo8 E02SDBcWBQwFHl8iSRbJdV2ShIlFApwLXPH+48/i3embs5MPmscMMJbZ6xXgDFBooR2cYABxUKvy
THMQ6Ci4wD8ins9RyG5wfMCraXD44EoHQ5h7EbX7OAsOZNeLq4eBOVagTGisgPr9N3QZqyXQ538e IM1BoKPgHP+IeD5HIbvG8QGvpsHBvSsdDGHuRdTu4yw4kF0vrh4G5liBMqGxAur339BlrJZAn/+5
WO8gON1GFZo4f1svc5DJLF5JsYyZv5Azgm81nO+iolq+Am5QCKcCUilcHEQwQXhAEpdmwzyTogAW Z72D4GQbVWji/G29zEEms3glxTJm/kLOCL7XcF5HRbV8BdygEE4FpFK4OIhggvCAJC7NhnkmRQEs
S5NMjgKg0JTa+qsIrPA+zw5orVucABDKIIOXzrMRjZhJmGgX1ivUF6bxhmammwR2nVd5SYoD+D+b liaZHAVAoSm19VcRWOFDnu3TWrc4ASCUQQYvnWcjGjGTMNEurFeoL0zjDc1MNwnsOq/ykhQH8H82
kS5K4+yWcFTEUPxtKm+SLEOEkBeCcC+kgdVtApw4j8QFtSK9YBqJkLUXt0SRqIGXkOmAJ+V9vCpS I12UxtkN4aiIofjbVF4nWYYIIS8E4V5IA6ubBDhxHolzakV6wTQSIWsvbokiUQMvIdMBT8q7eFWk
OWbxRd26W43QYLISZq1T5jhoWZF6pVVrptrLe0fR5xbXEZrVspQAvJ56QrfI87GYgs4mbIp4xeJV cszii7p1txqhwWQlzFqnzHHQsiL1SqvWTLWX9w6jLy2uIzSrZSkBeD31hG6R52MxBZ1N2BTxisWr
rXPinKBHnqgT8gS1hL74HSh6qlS9kvYl8gpoFmKoYJGnab4Gkh0HgRB72MgYZZ854S28g38BLv6b WufEOUGPPFEn5AlqCX3xO1D0RKl6Je1L5BXQLMRQwSJP03wNJDsKAiH2sJExyj5zwlt4B/8CXPw3
ymq2DAJnJAtYg0Lkt4FCIGASZKa5WiPhcZtm5baSSTLWFHk5lyUN9ThiHzLij2yMcw3e55U2ajxd ldVsGQTOSBawBoXIbwOFQMAkyExztUbC4zbNym0lk2SsKfJyLksa6mHEPmDEH9gY5xp8yCtt1Hi6
XOV8lVSokqbaZCZs8bKwYv34iucN0wDLrYhmpmlDpxVOLy2W8VQal2QqFygJepFe2WWHMYOeMckW uMr5KqlQJU21yUzY4mVhxfrxFc8bpgGWWxHNTNOGTiucXlos46k0LslULlAS9CK9sssOYwY9Y5It
V2LFVgbeAVlkwhakX7Gg0llUkpwAgMHCF2dJUafUSCGDiRgGWhUEfxWjSc+1swTszWY5QIXE5nsG rsSKrQy8A7LIhC1Iv2JBpbOoJDkBAIOFL86Sok6pkUIGEzEMtCoI/ipGk55rZwnYm81ygAqJzfcM
9gdw+x3EaL1MgD4zgAAaBrUULN80qUp0EBp9FPhG3/Tn8YFTzxfaNvGQizhJtZWPs+CcHp6VJYnv 7A/g9g8Qo/UyAfrMAAJoGNRSsHzTpCrRQWj0UeAbfdOfxwdOPVto28RDLuIk1VY+zoIzenhaliS+
TBbYa6yJoWCGWYWu3U0GdEQxHwwGQWDcoY0yX3MVVOXmGFhBmHEmk2mdoOGbTNDU6x8q4FGEM7DX M1lgr7EmhoIZZhW6dtcZ0BHFfDAYBIFxhzbKfM1VUJWbI2AFYcaZTKZ1goZvMkFTr3+ogEcRzsBe
zbaz8EBDmE7vgUpOl0WZr/C1ndtHUCYwFvYI9sQlaRnJDrLHia+QfK5KL0xTtN0OOwvUQ8HlT2fv N9vOwgMNYTp9ACo5XRZlvsLXdm6fQJnAWNgj2BMXpGUkO8geJ75C8rkqvTBN0XY77CxQDwUXP5++
zj+ffRQn4qpRaeO2PruGMc+yGNiaLAIwVWvYRpdBS1R8Ceo+8Q7MOzEF2DPqTeIr46oG3gXUP5U1 P/ty+kkci8tGpY3b+uwKxjzNYmBrsgjAVK1hG10GLVHxJaj7xHsw78QUYM+oN4mvjKsaeBdQ/1zW
vYZpzLyXwdn709cXZ5OfP579NPl4/ukMEAQ7I4M9mjKaxxocRhWBcABXzlWk7WvQ6UEPXp9+tA+C 9BqmMfNeBqcfTt6cn05++XT68+TT2edTQBDsjAz2aMpoHmtwGFUEwgFcOVeRtq9Bpwc9eHPyyT4I
SaImxabYwAMwlMDC5RDmOxYhPpxoGzxJskUejqjxr+yEn7Ba0R7X1fHX1+LkRIS/xndxGIDX0zTl JomafPcNsBs8GV7LCpi4HMKMxyJcxXcKGDQcU9MR4thpABY8HI3Ea3H49OnLQ4JWbIoNAAOz6zTF
RfyRBODTppDQtYI/w1yNgmAuFyAstxJFarhPnuyIOwARoWWuLeuveZKZ98xH7hAk8UPqAThMJrM0 hxNt0SdJtsjDETX+jV36Y1ZS2n+7PPrmShwfi/C3+DYOA/ChmqbMEj+ROH3eFBK6VvBnmKtREMzl
VgobTyYhkJY69HygQ8TuMMrJEDoWG7frSKOCn1LCUmTYZYz/9KAYT6kfosEoul1MIxCw1SxWklvR AkTvRqKADp+SXzziDrAk0DLXdvq3PMnMe+ZKdwjSH0PqAThMJrM0VgobTyYhEIE69HygQ8TONUrd
9KHfZIJaZjIZ6gFB/IjHwUVixREK0wS1TJmAJ0q8glpnqvIUfyJ8lFsSGdwMoV7DRdKbneguTmup EDoWG7frSKOCn1LCwmbYZYz/9KAYT6kfosEoul1MIxDX1SxWklvR9KHfZII6azIZ6gFBmEliwOFi
hs6kgIjDYYuMqBoTRRwETsUQbGezdKNRm5qGZ6AZkC/NQe+VLcrhZw88FFAwZtuFWzPeLTHNENO/ NRQK0wR1VpmAX0uchzpsqvIUfyJ81AIkgLi1Qi2Ji6S3TtFtnNZSDZ1JARGHwxYZUdEmivgRXJQh
8t6AcAAnMUQFrVQLCuszcXl2KV4+PzpABwR2iXNLHa852tQkq6V9uIDVupGVgzD3CsckDCOXLgvU WOJm6UajNjUNz0AzIF+agxYtW5TDzx74O6CuzCYON3q892KaIab/wTsNwgFczhDVvVItKKwdxcXp
jPj0eDfMVWRXpssKC73EpVzld3IO2CIDO6ssfqI3sJeGecxiWEXQxGTBWekZTy/GnSPPHqQFrT1Q hXj5/HAf3RnYc84tdbzmaKGTrJb24QJWy8gDI8y9jLy4dFmgnsWnR7thriK7Ml1WWOglLuUqv5Vz
b0VQzPqbpd/j7bvMFKgO3goTqfU+nY1XUeZ3CboH041+CdYN1BvaOOOKBM7CeUyGRgw0BPitGVJq wBYZ2Fll8TO9gZ05zGMWwyqCXid/gFWo8Rtj3Ify7EFa0HcA6q0Iill/s/R7HAyQmQJFxBtrIrXe
LUNQYGXNLibhjSBRw88bVRgRuAvUrdf09TbL19mE964nqCaHI8u6KFiaebFBswR74h3YDUAyh61Y 9bMpLMr8NkFnY7rRL8FWgrJEi2kcm8BZOI/J0CSChgAvOENKrWUI6rCs2WElvBEk2ot5o1gjAneO
QzSGAk66QNk6AORh+jBdoCztBgAQmGZFGywHltmc0RR5n4fDIozRK0HCW0q08HdmCNocGWI4kOht mvqKvt5k+Tqb8E74GJXucGRZFwVLMy82aJZgT7wHKwRI5rCxa4jGUMDlFyhb+4A8TB+mC5SlvQUA
ZB8YLYGQYHJWwVnVoJkMZc00g4EdkvhcdxHxptEH0KJiBIZuqKFxI0O/q2NQzuLCVUpOP7Shnz9/ AkOvaLvmwDJbPZoi7xpxWIQxeiVIeEuJ/sKtGYK2WoYYDiR6G9kHRksgJJicVXBWNWgmQ1kzzWBg
ZrZRS4qIIGJTnDQa/QWZt6jYgClMQCcYH4rjK8QGa3BHAUytNGuKg48iL9h/gvW81LINlhv2Y1VV hyQ+151HvAX1AbSoGIHZHGpo3MjQ7/IIlLM4d5WS0w8t8pcvX5ht1JLiK4jYFCeNLsSCjGVUbMCw
HB8ertfrSMcD8vLmUC0O//yXb775y3PWifM58Q9Mx5EWHRyLDukd+qDRt8YCfWdWrsWPSeZzI8Ea JqATjEfG0RpigzU4twCmVpo1xf4nkRfsjcF6XmjZBj8AdndVVRwdHKzX60hHF/Ly+kAtDr7983ff
SvKjyHlE/L6vk3kujg9GVn8iFzeGFf81zgcokIkZlKkMtB00GD1TB8+il2ognomh23Y4Yk9Cm1Rr /fk568T5nPgHpuNIiw61RQf0Dj3a6HtjgV6blWvxY5L53EiwhpK8MnJFEb8f6mSei6P9kdWfyMWN
xXyrCz2qHGw3eBqzvM6q0FGkSnwF1g321HM5rW9CO7hnI80PmCrK6dDywMGLa8TA5wzDV8YUT1BL mcZ/jSsDCmRiBmUqA20HDUZP1P6T6KUaiCdknW3b4Yj9Em1SrRXzrS70qHLwBMBvmeU1muqGE5R4
EFugxXdI/xOzTUz+jNYQSF40UZ397qZfixnizh8v79Y7dITGzDBRyB0oEX6TRwugbdyVHPxoZxTt BtYNduhzOa2vQzu4ZyPND5gqyunQ8sD+iyvEwOcMw1fGFE9QSxBboMV3SP8zs01M3pHWEEheNFGd
nuOMmo9nCIylDwzzaldwiIJDuOBajF2pc7gafVSQpjWrZlAwrmoEBQ1u3ZSprcGRjQwRJHo3ZnvO 3fOmX4sZ4s4fLu/W13SExswwUcgdKBF+kwcLoG3clRz8aNcW7Z7j2pqPZwiMpQ8M82rHcoiCQ7jg
C6tbAJ1asT6zozerAC3ccTrWrs0KjieEPHAiXtATCU7tcefdc17aOk0pBNPiUY8qDNhbaLTTOfDl WoxdqXO4Gj1ekKY1q2ZQMK5qBAUNTuKUqa3BkY0MESR6N2azzwurWwCdWpFDEx8wqwAt3HE61q7N
0AAYi0H584Bbmo3Fh9ai8Br0AMs5aoMMtugwE75xfcDB3qCHnTpWf1tvpnEfCFykIUePHgWdUD7h Co4nhDxwLF7QEwku8lHn3XNe2jpNKaDT4lGPKgzYW2i00znw5dAAGItB+cuAW5ptysfWovAa9ADL
EUoF0lQM/Z7bWNwStzvYTotDTGWWiURabRGutvLoFaqdhmmRZKh7nUWKZmkOXrHVisRIzXvfWaCd OQaEDLboMBO+cX3Awd6gh506Vn9bb6ZxHwhcpCHHoh4EnVA+5hFKBdJUDP2e21jcErc72E6LQ0xl
Cz7uM2ZaAjUZGnI4jU7I2/MEMNTtMOB1U2NowI2cIEarRJF1QzIt4R9wKygiQeEjoCVBs2AeK2X+ lolEWm0Rrrby6BWqnYZpkWSoe51FimZpDl6x1YrESM1731mgfRA+7jNmWgI1GRpyOI2OydvzBDDU
xP4AmbPz1V+2sIclNDKE23SbG9KxGBqOeb8nkIw6fgJSkAEJu8JIriOrgxQ4zFkgT7jhtdwq3QQj 7TB8dl1joMGNwyBGq0SRdUMyLeEfcCsovkHBKKAlQbNgHipl/sT+AJmz89VftrCHJTQyhNt0mxvS
UiBnjgUhNQO400tvg4NPIjyzIAlFyPeVkoX4Sgxg+dqi+jjd/YdyqQkbDJ0G5CroeMOJG4tw4hAn sRgajnm/J5CMOhoDUpABCbvCSK4jq4MUOMxZIE+44bXcKt0EI1IgZ44FITUDuNNLb4ODTyI8ASEJ
rbiEz9B+RIJON4ocOHgKLo8bmnfZ3DCtDZOAs+4rbosUaGSKnAxGLqrXhjBu+PdPJ06LhlhmEMNQ Rch3lZKFeCYGsHxtUX2Y7v5DudQEIYZOA3IVdPTi2I1sOFGN41aUw2doP75BZyVFDhw8BZfHDfS7
3kDeIYwZaRTY5dagYcENGG/N22Ppx27EAvsOw1wdydU97P/CMlGzXIW4we3ELtyP5ooubSy2F8l0 bG6Y1gZdwFn3FbdFCjQyxWEGIxfVK0MYN5j8p2OnRUMsM4hhKG8g70jHjDQK7HJr0LDgBoy35u2x
AH+8BRiMrj1IMtXxC4yy/AuDhB70sA+6N1kMi8zjcp1kISkwTb8Tf2k6eFhSekbu8CNtpw5hohij 9GM3YoF9h2GuDuXqDvZ/YZmoWa5Cipm0YxfuR3NFlzYW2/NkOoA/3gIMRlceJJnq+AVGWf6JQUIP
PHxXgoDQYeUhiBNqAtiVy1Bpt78LducUBxYudx94bvPV8cvrLnHH2yI89tO/VGf3VRkrXK2UF42F etgH3ZsshkXmcblOspAUmKbfsb80HTwsKT0jd/CJtlMHMFGMeB68L0FA6OjzAMQJNQHsymWotNvf
Alera8BR6cLk4myjjxv1cTRuE8pcwS5SfPj4WSAhOBK7jjdPm3rD8IjNg3PyPgZ10GsPkqs1O2IX BbtzigMLl7sPPLf58ujlVZe4420RHvvpX6rTu6qMFa5WyovGQoGr1TXgqHRhcnG20YeX+nAbtwll
QAS1IjLKYfh0jnw8sk+d3I6JPQHIkxhmx6IYSJpP/hU4uxYKxjiYbzKMo7VVBn7g9TdfT3oioy6S rmAXKT5++iKQEBzXXcebx029YXjE5t45eR+DOui1e8nVmh2xCyCCWhEZ5SB8PEc+HNnHTm7HxB4B
33w9eGCUFjH6xH7Y8gTtyJQGIHqnbbqUMk7J13A6UVQxa3jHtilGrNBp/6eZ7LrH6dR4UTwzvlfJ 5FEMs2NRDCTNJ/8MnF0LBWPszzcZxtHaKgM/8Pq7byY9kVEXye++GdwzSosYfWI/bHmCdmROKtg1
71J8J472918e9bfFj4GH8XAJ7sLzcUPB7qzx43tWW+Fpk7UDWGfjaj57NAXY5ufTX2GzrHR87S5O 21LGKbkaTh8KKmYN69g2xYj1OW3/NI9d9ficGi0b++5vgR8DBUPqEnyE5+OGbN2p4sd3p7bC03Zq
UjoUADIcHKCeNft8Dl30KxIP0k5d45Cgbyumrp4DY4QcWBh1p6P9slMTe+7ZEJtPEasuKns6AaA5 B7DObtV89mgRYG+fT3+DHbLSQbXbOEnpXAEmv7+PytVs7jle0a89PEg7FYxDgr79l7p8DtwQcjRh
v/IO9d2zyy5UveyGh5/zScNRj5byZtznV3yJhsXPH6KMLDCPBoM+sm9lx/+PWT7/90zykVMxx85/ 1J2OdsZOTMC5ZxdsPkWsuqjs6RyC5gjMywtwjz+7ULUFM4z7nI8XDntUkzfjPmfia9Qqfv4QDWSB
oGF8IqA/aiZsRxiatiM+rP5ld02wAfYIS7XFA93hIXaH5oPGhfHzWCUpsY+6a1+sKdeAwqx4aARQ eTQY9JF9Kzv+f8zy+b9mkg+cijm5/gOt4SMB/VEzYePB0LTx8GH1L7trdw2wB5inLW7nDrewOzSf
5uwC9sDBZdQn1m/qsuRzZ1KBhSwP8Cx1LDDNyjiBlL3VBXP4XlaIiW02o7C1k5ST96mRUAei7UzC VS6Mc8cqSYmnqLueijWlK1BsFU+KAMqc/b4eOLiM+tD7bV2WfHRNKrCQ5T4ex44FZmoZz6/XxOyJ
ZgvRL2fL3ISvZHaXlNAXFO4w/OHDj2dhvwnBkC50erwVebwLgXCfwLShJk74lD5Moad0+delqr2L gw+yQkxssxnFqp28nrxPjYQ6+mxnEjb7hn45W+YmZiWz26SEvqBwh+GPH386DftNCMZxodPDrcjD
8QlqjvNNcFiTrdc++DFhE1LoX4MHgkPe2S2fkeNmfbaUs9uJpHN/ZFPs6sTH3+BrxMSmA/jJWype /QaE+wimDTVxwsf0YQo9pss/L1XtrYtPUJMRYCLCmmy99sEPBJs4Qv8a3BMR8g5s+Zgdd+izpZzd
UAYazGSW1kgr9sExdXBRZzM6KqkkuFo6zxfzfug0nyOBizS+EUPqPMcolOZGClTdxaV2RIsyx8xS TCSlDiCbYlcnKP4WXyMmNqPAz/9S8YKS2GAms7RGWrHjjdmHizqb0flIJcG/0qnCmDpECQEc/luk
USfzw5tkLuRvdZziDl8uFoALnmPpVxEPT8Eo8ZYTEjjjUMlZXSbVBkgQq1wfA1LugtNwuuGJDj0k 8bUYUuc5hp40N1J06jYutfdZlDkmp4o6mR9cJ3Mhf6/jFLf1crEAXPDwSr+KeHiKQIl3nNPASYtK
+cSHCYjZDMfiI04b3zPh5oZcJk7gH37gJHELjh3MOS1yFz2H91k+wVEnlKA7ZqS6R/T0OGiPkAOA zuoyqTZAgljl+uyP0h+chtMNT3ToIcnHPExATIg4Ep9w2vieCTc35DLBAf/EAyeJ+27s4CQrRPQc
AQCF+Q9GOojnv5H0yj1rpDV3iYpa0iOlG3TIyRlDKMMRBj34N/30GdHlrS1Y3mzH8mY3ljdtLG96 3mf5BEedUI7vmJHqnsvT46A9Qg4ABgAU5j8Y6cid/0bSK/eAkdbcJSpqSY+UbqQhJ2cMoQxHGOng
sbzxsbzZjaUrEriwNn5lJKEvhtU+4ehNlnHDTzzMWTxbcjtM3MQETYAoCrPXNjLF+ctekIuP+ggI 3/TTZ0SXt7Zgeb0dy+vdWF63sbzuxfLax/J6N5auSODC2qCVkYS+wFX7WKM338aNOfEwp/Fsye0w
qW3n7JkeNskvCWeEljlHwzVI5H48z9L7epN57nSmVBrdmadi3NltCUB+38MoojyvKXVneZvHVRx5 9xNzPAGiKMwG28gUp0B7kS0+3yMgpLadA2d62OTPJJxUWuYcAtcgkfvxEEtv5k3yutOZsnF0Z56K
cnGT5lMQW4vuuAEwFu1cIA6bZneTKQd6W5ZqcPlfn3748B6bI6iByXSgbriIaFhwKsP9uLxRXWlq cWe35RD5fQ+iiFLFptSd5W0eV3HkycV1mk9BbC264wbAWLTTiThWmt1OphzdbVmqwcV/ff7x4wds
9oEFsCO19HNyqJsGuPfIIBuPssf/vKVkD2QcsaZkhVwU4AFQSpZt5iYuhWHruc5w0s+Zyfnc6UQM jqAGJr2BuuEiomHBqQyfxuW16kpTs/krgB2ppZ+IQ900wL0HRtZ4lD3+5x1leCDjiDVlKOSiAA+A
smrQTGoLkU4vL9+efjodUPRv8L8DV2AMbX3pcPExLWyDrv/mNrcUxz4g1DrM1Rg/d04erRuOeNjG srpsMzf3KQxbz3WSlH7OTM6HTcdikFWDZlJbiHRycfHu5PPJgEJ+g/8duAJjaOtLh4uPaWEbdP03
GrAdH7714OgxBrs3YuDP8t9KKVgSIFSk48BPIdSj90BftE3o0McwYidzzz1kY2fFvnNkz3FRHNHv t7mlOPYBodaxrcb4uXPyaN1wxP021oDt+PCtB4cPMdi9YQJ/lv9SSsGSAKEiHfx9DKEevAf6qm1C
O4FoD+Cfe+IeYwIE0C7U0OwMms1US+lb87qDog7QR/p6X7wFa2+92jsZn6J2Ej0OoENZ22y7++cd hz6GETvJf+7JGjsr9p0je46L4oh+37FDewD/sBP3GBMggHahhmZn0GymWkrfmtcdFHWAPtDX++ot
2bDRU7J6ffb9+fuL89eXp59+cFxAdOU+fDw8Emc/fhaUKoIGjH2iGLMkKkxKAsPiVimJeQ7/1Rj5 WHvr1d7J+BS1k+hxAB3K2mbb3T/vnIaNnpLVm9Mfzj6cn725OPn8o+MCoiv38dPBoTj96Yug/BA0
mdcVx4uh19uLC31os8I6FUxcRpsTwXPOaLLQOHzGAWn7UKciIUap3iA5BUGUuUMFQ7hfWnExisp1 YOwTxZgaUWEmEhgWt9BJzHP4r8bIz7yuOEgMvd6dn+uTmhWWumDuM9qcCJ5zGpOFxkEzjkLbhzr/
cjPVGU3RWa311ksXepmCMDrijkD6oLFLCgbB2WbwilLQK7MrLPkwUBdJ9SClbbTNEUkpPNjJHHCO CDFK9QbJqSmidB2qOcL90orrWVSu86OpVGmKzmqtt166VszUlNG5dgTSB41dUjAITjGDV5TFXpld
wsxBixczpc7wpOmsFf1V6OIaXkeqSBPYyb0KrSzpbpgp0zCOfmjPuhmvPg3odIeRdUOe9VYs0Gq9 YckngLrOqgcpbaNtYkhKQcFOuoBz/mVOV7xAKXWGJ01nregvQxfX8CpSRZrATu5VaGVJd8P0mIZx
Cnluuv+oYbTfasCwYbC3MO9MUqYIpU9jnpsIsREf6oTyHr7apddroGDB8MyvwkU0TJfA7GPYXItl 9EN7wM149WlApzuMrBvyrLdigVbrVchz0/1HDaP9XgOGDYO9g3lnktJDKAMbk9tEiI34JCeUd/DV
AhsI4MklWF/cJwCE1kr4ZwPHTnRA5pioEb5ZzQ/+FmqC+K1/+aWneVWmB/8QBeyCBGcVhT3EdBu/ Lr1eAwULhgd9FS6iYboEZh/D5losE9hAAE8uwfriPgEgtFbCPxA4cqIDMsfsjPDtar7/l1ATxG/9
hY1PJCNx9uHdKGTkKEtX/K3G3H5wSCgA6kg7pTLxYfpkqGS60Kkmvj7AF9pPoNet7qUsSt293zUO 6689zasy3f+bKGAXJDiVKOwhptv4HWx8IhmJ04/vRyEjR6m54i81lgeAQ0IBUEfaKX+JT9AnQyXT
UQKeqSF5Dc+UoV+ImV8W9hinMmqBxrIFixmW/7kZCeazJz4uZZrqZPXztxdn4DtiJQVKEB/BncFw hc4v8fUBvtB+Ar1udS9lUeru/a5xiBLwRA3Ja3iiDP1CTPeysMc4lVELNFY+WMywgtBNQzCfPfFp
HC/B03Sdh8fliS1QeNYOr0tk4xJdWMq3mEdes96gNYoc9fZSNOw6UWC426sTBS7jRLloD3HaDMvU KdNU57ufvTs/Bd8RizFQgvjc7RSG43gJHqHr5DuucGyBwgN2eF0iG5fowlKSxTzymvUGrVHkqLeX
AkTIyrAWZlmZtVttkMJuG6I4ygyzxOSypFxWnyeAl+lpzFsi2CthnYaJwPOBcpJVJnkxTWagR0Hl l2HXiQLD3V6dKHAZJ8pFe4jTZlimnCBCVoa1MMvKrN1qgxR22xDFUWaYJSYXJSWw+jwBvExPY94S
gkIdg5AgcbEYkTgvzzgGnpfK1DDBw2JTJjfLCs85oHNE9RPY/MfTzxfn76mm4Ohl43X3MOeYdgJj wV4JSz1MBJ5PkZOsMhmLaTIDPQoqFxTqGIQEiYv1jMR5ecYx8LxUpgwKHhabMrleVni6AZ0jKsHA
zic5wWxBjHbAFzcDELlqMunjWf0KYaD2gT/tV5yocsIDdPpxYBH/tF9xEdmJsxPkGYCCqou2eOAG 5j+dfDk/+0BlCYcvG6+7hznHtBMYcxLJMaYIYrQDvrhpf8hVk0kfz+pXCAO1D/xpv+LslGMeoNOP
wOnWJzeNLDCudh+MHzcbsMHMB0OxSKxZ0Tkf7vy6nGhbtkwJxX3Myycc4CwKm52mO7vZae2PnuOi A4v4p/2K69COnZ0gzwAUVF20xQM3AE63PrlpZIFxtftg/LgpgA1mPhiKRWLZi070cOfX5UTbsmVK
wBOv+bC/Ebztky3zmULX286bbXlw7qcjhVjPChh1W/tjmESxTlM9HYfZtnELbWu1jf0lc2KlTrtZ KO5jXj7iAGdR2JQ03dlNSWt/9BwXBZ5zzYf9jeBtn2yZzxS63nTebEt+cz8dKcSSWMCo29ofw2SH
hqIMRBy6nUcuk/UrYd2cOdDLqO4AE99qdI0k9qrywS/ZQHsYHiaW2J19iulIFS1kBDCSIXXhTg0+ dZrq6TjMto1baFurbeyvmRMrddrNMhRlIOLQ7TxymaxfCevmzIFeGnUHmPheo2sksVeVD37NBtrD
FFoEUCCUCDx0JHc82j/y5uhYg4fnqHUX2MYfQBHqtFwq98hL4ET48hs7jvyK0EI9eixCx1PJZJbb 8DCxxO7sU0xHKmMhI4CRDKlrf2rwodAigAKh7N+hI7nj0dNDb46ONbh/jlp3gW38ERShzsWlGo+8
lDH8rJfoVb7w59grAxTERLEr4+xGDhnW2MD8yif2lhAsaVuP1FfJdZ9hEefgnN5v4fCuXPQfnBjU BE6EL7+z48ivCC3Uo0cidDyVTGa5zRPDz3qJXuULf469MkBBTBS7Ms6u5ZBhjQ3MZz6xt4RgSdt6
WozQaXcrN2115JMHG/RWhewkmA++jNeg+4u6GvJKbjmH7i2E2w71YYiYiAhN9Tn8MMRwzG/hlvVp pL5MrvoMizgD5/RuC4d35aL/4MSg1mKETrsbuWmrI5882KC3FGQnwXzwZbwG3V/U1ZBXcss5dG8t
APdSQ8NCD++3LaewvDbGkbX2sVXgFNoX2oOdlbA1qxQdyziVhcYXtV5AY3BPGpM/sE91zpD93VMy 3Xao90PE7ENoqk/fhyGGY34Pt6xPA7iXGhoWeni/bzmF5bUxjqy1j62qptC+0B7srIStWaXoWMYp
5sSELFAe3AXpzW2gG7TCCQOuXOKyz4Qy45vCGv1uLu9kCkYDjOwQCx9+tYUPo8iGU3pTwr4Yu8vN TjS+qPUCGoN73Jj8gX2qE4Xs7546MScmZIHy4C5Ib24D3aAVThhwuRJXjiaUDt9U0+h3c3krUzAa
5aYfN3rTYHZsKjPQM1MFrF+UyeoQ0emN+OzCrEEGl/oXvSWJs1vykt/8/Xws3rz/Cf59LT+AKcXK YGSHWO3wm612GEU2nNKbB/bV2F1sLjb9uNGbBrMjU46BnpkqYP2iTFYHiE5vxGcXZg0yuNS/6i1J
xbH4B6Ah3uQl7C+59JbuRMCijoo3jnmtsLyRoNFRBV8fgW7bpUdnPBbR1SZ+mYnVlAITbMsV31kC nN2Ql/z2r2dj8fbDz/DvG/kRTCkWP47F3wAN8TYvYX/J1bt0rQJWclS8ccxrhRWSBI2OKvgGCnTb
KPIEqRy98RNMDQX8NkVeLW/UeIp9izLQL5EG2+tesFbkULeMltUqRXvhREma1bwaXJy/OXv/8Syq Ljw647GILjHxa0usphSYVVuu+NoTQJEnSBXtjZ9gCifgt6nsanmjxlPsW5SBfok02F7sggUiB7pl
7pHDzc+BE0Xxc7NwOvqMuMTzsLGwT2Y1Prl2HOcfZFr0+M1602lqaHDTKULYlxR2o8n3YcR2cxGX tKxWKdoLJ0rSrObl4Pzs7emHT6dRdYccbn4OnCiKn5CF09FnxCWeh42FfTKr8cmV4zj/KNOix2/W
GDkQxWaezyJsCSzPZXvVGhzpkbO/fNDQe1YWYQ1H+hSt8ebxMVBD/NJWRANoSH30nKgnIRRPsX6M m05TOIObThHCvqSwG02+UiO2m4u4xMiBKDbzfBZhS2B5rtWr1uBIj5z95b2G3rOyCGs40qdojTeP
H0eDflM8FhTahj/7t+u5GxnXhUA0wTamzayHfnerC5dMZw3PchLhdWKXwdSGpkmsVtOZWzP4IRP6 j4Ea4te2IhpAQ+qj50Q9CaF4ikVj/Dga9JvisaDQNvx5erOeu5FxXf1DE2xj2sx66He3unDJdNbw
OhPQcnTOIRdxnVZCZiC5tMmneyVA07tlfiwhzCpszqj2jcI06TreKCcJKVZigKMOqDQeD2QoYgh7 LCcRXsd2GUxBaJrEajWduYWCHzOhb0QBLUfnHHIR12klZAaSS5t8upoCNL1b28cSwqzC5owK3ihM
8B/jW7YHWH8oai5kBuiEKO2fcqerqmdLlmDeEhH1ehIP1kn20s3n0RTmQXmHPGscWZgnuo2M0Y2s k67jjXKSkGIlBjjqgKrr8UCGIoawB/8pvmF7gEWHouZaaIBOiNL+KXe6qnq2ZAnmLRFRryfxYJ1k
9Pz5wXB09aLJdKCo9Mwr8p0VYPVcNtkD1Vns7+8PxH887P0wKlGa57fglgHsXq/lgl5vsdx6cna1 L918Hk1hHpR3yLPGkYV5otvIGF3LSs+fHwxHly+aTAeKSs+8yt5ZAVbPZZM9UJ3F06dPB+Lf7/d+
up69eRMBP86W8goeXFP03D6vMwpN7uhKCyLtXwMjxLUJLTOa9i27zEG7kg+auQUfWGnL8XOW0KVF GJUozfMbcMsAdq/Xck6vt1huPTm7Wl3P3ryJgB9nS3kJD64oem6f1xmFJnd0pQWR9q+BEeLahJYZ
GFqSqGz13U8YdjLSRCwJiiGM1SxJQg5TwHps8hrr8zDMqPlF3gPHJwhmjG/xhIy32kv0MCmX1nKP TfuWXeagXckHzdyCD6y05fglS+jeIwwtSVS2+vooDDsZaSKWBMUQxmqWJCGHKWA9NnmNRXkYZtT8
RedEDAjwgHLLeDQqcKYKNcBzcrnRaE7Os6RqSkueu4enupC/sncRab4S8Rolw8yjRQyn1NNj1cbD Iu+A4xMEM8a3eELGW+0lepiUQGu5x6JzLAYEeEC5ZTwaVTVTWRrgObnYaDQnZ1lSNfUkz93DU30X
zneyqLdjyWdXbsCxNUt+/RDuwNogafliYTCFh2aRZrksZ8ac4ools6RywJh2CIc70xVMZH2ioAel QGWvM9J8JeI1SoaZR4sYTn2nx6qNh53vZFFvx5LPLt2AY2uW/Po+3IG1QdLyxcJgCg/NIs1yWc6M
Aah3sgpzK9H27Z/suriYfqBz5AMzkk4fquy1VhwcirNWgmEUNeNTGMoS0vKt+TKCUd5TWFt7At5Y OcUVS2ZJ5YAx7RAOd6ZbnMj6REEPSgNQ72QV5lai7ds/2XVxMf1I58j7ZiSdPlTZm7E4OBRnrQTD
4k86qIp1Bd7tG26JY53pWzU4f6O5agPg0E1OVkFadvR0hHN9mIXPTLvlLgz80BadcLtLyqqO04m+ KGrGpzCUJaTlW/NlBKN8oLC29gS8scSfdFAViwm8CzzcusY60xdzcP5Gc1sHwKHLoKyCtOzo6Qjn
vGGCDtvEHqxrPG1p3M6iT+utgJOfgwd8oLP4wXEwWTZIT0zCNVUaJ2KhQxSRW23mF2YVOXp5R+wr BjILn5l2y3Ua+KEtOuF2m5RVHacTff/DBB22iT1Y13jaeridlZ7WWwEnPwcPeF+n7oPjYLJskJ6Y
gU+BlJlPTI20CSJdWXa1xac6Z9NR8QjqK1PQtMUzN5U0nSIUF/Mx5TmZEogtXrTBpX2nhfjuRAxf emtKM47FQocoIrfEzK/GKnL08g7ZVwKfAikzn5jCaBNEurTsaitOdc6mo+IR1DNTxbTFMzflM53K
jMWfWxuhWbHBW5kA5Wfz6Nk89H0y6np1fNTYme7GswVhK5CX10+ebppMaXphX/r5w3110iFuAFcg ExfzMeU5mbqHLV60waV9kYV4fSyGL8bi29ZGaFZs8GInQPnJPHoyD32fjLpeHh02dqa78WxB2Ark
O4tEzg+eKcSOcf5SqBpKM6/tnEIzxur0PZv1pAuzm3IVqkqbgle/bhSKo1qM/2kHMRXfWg9wcSwK 5dWjp5smU5pe2Jdzfn9fnXSIG8AVyM4ikfP9JwqxY5y/FqqG0sxrO6fQjLEkfc9mPelq7KZGhUrR
LVsgW9BvEk9ayX/20jVMDNTo+SuLnsuk73AKv+HFKfBeE9R1dLYeWuoMewu2Z0+uyyj5CKpp2HD8 puDVrxuF4qgW43/aQUyZt9YDXBGLQssWyFbxm8STVvKfvbcNEwM1ev7Koucy6Tucwm94Wwq81wR1
gx7Vk0SpnSPeaYXHk43Euaz/BB4O6ZIZYpqvWsfC/07m4aT9bYeLHSy/+XoXnq6C6a2Y6FnQx1Yx HZ2th5Y6rd6C7dmT69pJPoJqGjYcf69H9ShRaueId1rh8WQjcS7rP4KHQ7pZhpjmWetY+F/JPJy0
8KK3SxeahTef/qCXxzJ9Xf940dkqGE9d/kdkBTwsZY+XsF3S9WQq6V79tMING6ZLL2N+g4a3Lo5t v+1wsYPld9/swtNVML1lEj0Lurt2gZe6XbDQLLf59Ie6PEbp6/pVAuNAaUQHvD5z+SP5a0eYD8y3
QMMoHjxwGrpJdPipbnsrf1jpoAaubsNd0+f+u+auWwR25uYMuTN3v8LPpYHuu51f+mjAm0lNiEdl uuQ2L3iF1yvSWS/allS6/gfvSfkeLXQIaBNO6VmwFuCS1As8mr2l2yJPFKWR4aUv3xy+GJtaWwak
pjdqoV/juMpirFMX+gOj+oPkdzvhTLfonofAmEQJDLMSm2rsjW1YxTP3O+bhHPAltm5BZ69Fak27 J/AyevlMX6pI3cx1Ar6zOtabIHip+x1G/+YASyq/t33V2RbQtI5btyv5g4UUjxpFE0uHxnLcX1nR
o1jaHP8Yc8I5B/jc1nhTIslccyB7p3Qr2YRTEyfy5kZNYrwRb0JbGkqj6fiqxkl+RxeayVhtjG+L rFks8BbChpjspNorNd6D2zAFh8FcJ5qD5wM7u6gPXVdjNNK7TbVtEeCtwUP72SY5D+raKFJEepew
18YACMNNOuHRzWkGxoBtE9/My1kozv0ggoamXE0n+VMlc45TaUcawEUcn6L+Jv7J2ZuDVGJYUdVl bVOeuxTno0VB9+q3ILgXR85fxvwGfaq6OLKxKmNT8Cxx6OZH4qe66a3kYnuCxrW6CXdNn/vvmrtu
UcLeY6Dvb+X0iL6M0gaoCZesYnVrUDc9xvo6TxyCc3JMEShHxXg/41EHCME63rmcitOhJxP7Dvjl EdiZm/SAztz9ik2XBrrvdivaRwOOE2hCPKjooNH4/cbEtQNjnZXSH/PWHyS/2wlnusWs3AfG5MBg
eVPsnowtQ8isXskyrpqLXvzD2ATsSzMClf7iAjsBkUYyW5ziIpZY/nCQwpCE/f6VduW9rcyOCveR BJ3YU2NvzP4qnrnfMcVqn684dgt0e52N1rQ7NqPN8Q/xFDidBJ/bmn3KEZprDuSNB91ZN+Gs04m8
1XqPZyvqoQNtTymed2yP4ebk3l705l4wNKdrgV1XwjZruM9ebgNLYW4tI12pIxT8Vt+kxPdzcvwU vlaTGO9LnNBulTKkOtsQs/95T9fdyVhtzLYFrwECEIabdC6rm64OjAG6ku9t5gQj574XQUNTGq6T
nRGHj0Du3cI3PwnYqjV2hSwazjNXMXSvzsHabbLFfTfidbige/ddaztjx/f1hmWWjhOypbGlonbg 16uSOZsEvUcCcBGHHqm/CW1zYu4glRgxVnVZlLCtHOjbfTnzpS9ZuAFqImGrWN0Y1E2Psb7slRQr
ehVPM9qo2bdjvt4D+3Y/J/uJ+3YP/iP37fr+QjA4Gh+tD3qztB/Y4LOacC8DbBgB+kyASHh+2LpK pVuZol4OeLbSZoAIbMQ7pmEyse+AV543FxckY8sMMqtXsoyr5tIe/4w9Ea+dEaiMGxfXiXM1Utni
zpjMoZvzDJvr5H5gL+NlnekUUhkzgRzZvSWKQPClf8pNEPUu5dq1b/elix5/f/Hh9ekF0WJyefrm EhexxPKGgxRGmuz3Z7BD83anO24qGFlt93B2oh46dvqYSxAcY2S4OLmzF/a5F0XN6bJo1zu0zRqu
P0+/p5wYDFK3bNajAxtZfsDUPvCyb90gh85j6Bu8wbbndk0uIdEQOu87R8A9EPrLhfoWtK3I3Nfb s5cUwTKY2+dIR+qgE7/VN2Lxra0cEkf/0uEfkHe3ltHP67bqjL1bi4bzzFUI3SuQsAafjHPfzYYd
OnTKLrqdAPHd025B3aayeyF3/DOd4u9mL7TSZAP9lHMazS/nYNg8MucjLA7N+Yd534SstYx2Inrb DujeYdjaodrxfX1hGaXjYW5pbKmoffJehdOMNmpCMZiCeU8oxk+zf2QoxoP/wFCMvocSDI3GR+uB
Fs7JLuyqE+236vsYt0QbRzbHlVYAI9XIXzZQbQoWbDiUHZX2/yKBEnOx2MvcZQJSOJPOnXp0nR6D 3sT7e2I2rB7cSx0bRoA+EyASHgm3rgQ0pnLoprEXuUruBvaKZtaVTm2cMQ/Ikd3bvggEX96o3Jxf
qvz/F0MJyi7G0zZ2GMf2XmNqx0F5ZS/sxhO3mYwMQbxqq0F3fq6wz2W6hQpBwApP3xjHiBj9p4+x 73K1XaEYX7ro8Q/nH9+cnBMtJhcnb//z5AdKc8Jzh5atenCsKsv3mdr7XkK1G7fSqSl9gzfY9ty5
7KHvMyWuDqiu8wCVzbX9hWumndy/J3i0W9mblxTnh/DhFjRe1Kl7XGv7dDqQ80dnAPnCKSQAzXcI ylVBGkLnfedUvwdCfwVY34K2FZn7eluHTiVNtxMgvnvaLajbVHYv5I5fpqs23ISUVuZzoJ9ymqr5
dG7EUwF7o8/ECnG6ESFsJPWxJOYmEh31tWkO8mg3HewNrZ6Lg21Vf27VmxAvtjectwrrdI8j7qEe 5Zz1m0fmyIvFoTnSMu+bUwgto50g7baFcxJGu+pE+6v6Xs0tAeSRTVumFcDDB+Qve/ZgalBshJsd
6KFqU1vlWGBMkttWzie+I8h8iCToqiXP+cCTS33DL3y9u3pxbEO6yO/42lEklMwzcAz7lZMMt/N6 lPb/OINyrbF+z9xJA1I4k87diHQtIoOq/P9DRwnKLsa9HTuKY3vbNbXjcxZlr3HHQ9SZjAxBvAK6
P6c7MUs5pmwp3LM5xaC6xbUDlX2CbXucTkXAln2QOV1mSAPvfX9UxfTwri0ftDG1rHcMUxLDZ2pE QXd+rrDPZbqFCkHACk/f/MeIGP2nTybtOf4TJS73qVR3H5XNlf2Fa6ad278meFpf2Ru0FKf88Hkl
03JqKDTu9smoO91GbXWBcD3II4B0VCDAQjAd3ejk5204yXb4XO8KpzVdjOrG9UNHKihXx+cI7mF8 NF7UqXsCb/t0OpDTR8c6+cKpDQHNdwB0bsRTAXujv8QKcboRIWwctUuG6aZER339nYM82k0He0Or
vwa/dneq43xUd0bR9OcGbQ7USw7Czb4Dtxp5IZHtJqE99YYPtrgAXBLb3//FI/p3s8hs96NdfrVt 52J/WyGnW8goxIvtDeetWknd45B7qHt6qNqUyzkWGPMet1VoitcEmc8FBV2Z5TkfeBitt/3w9fby
9bK3DIt9WUw8xHyMFonM4wiMDOjNIWlrzFY3go63gDR0dBmqmRvyBTp+lMyI1x7TBoOc2Yn2AKxR xZGN0iO/42tHkVB+1sAx7JdOfuPOaxqd7sQs5ZgS4HCv5tT36hZXDlT2CbbtbTpFHlv2PyZhgCEN
CP4PNIke9w== vPf9ITPTw7vMftDG1LLeEUxJDJ+oEU3LKYvRuNsno+50G7XVBcIlPg8A0lGBAAvBdHSjk3K54bzp
4XO9G5zWdMGte1QTOlJB6Vc+R3AP4/s1+LW7U2nug7oziqY/N2hzoF5yEG72HbjVyAuFbDcJ7ak3
fLDFBeAq5/7+Lx7Qv5sYaLsf7vKrbauXvZV17MtiLimm2LRIZB5HYGRAbw5JW2MBghF0vNiloaPL
UM3ckC/Q8aP8VLy+mjYY5MxOtAdgjULwf2RtvCc=
""") """)
##file ez_setup.py ##file ez_setup.py
@@ -2121,93 +2138,93 @@ hLLdWkDbi/DeEpCjNb3u/zccT2Ob8gtnwVyI
##file distribute_setup.py ##file distribute_setup.py
DISTRIBUTE_SETUP_PY = convert(""" DISTRIBUTE_SETUP_PY = convert("""
eJztPF1z2ziS7/oVOLlcpHISE2fm5q5cp6nKTDyzrs0mqTjZfUhcMkRCEsf8GpC0ov31190ACICk eJztPGtz2ziS3/UrcHK5SOUkxs7MzV25TlOVmTizrs0mKdvZ/ZC4aIiEJI75GpC0ov311403SEp2
ZOdm9uGqzrtjS0Sj0ejvboA5+7fq0OzKYjKdTn8qy6ZuJK9YksLfdN02gqVF3fAs400KQJPrDTuU LrMfruq8O7ZENBqNfncDzMm/1ft2W5WT6XT6S1W1TctpTdIM/marrmUkK5uW5jltMwCaXK3JvurI
LdvzomFNydpasFo0bdWUZVYDLI5KVvH4nm9FUKvBqDrM2W9t3QBAnLWJYM0urSebNEP08AWQ8FzA jpYtaSvSNYw0rO3qtqryBmBxlJOaJg90w4JGDkb1fk5+75oWAJK8Sxlpt1kzWWc5oocvgIQWDFbl
qlLETSkPbJ82O5Y2c8aLhPEkoQm4IMI2ZcXKjVrJ4L+8nEwY/GxkmTvUr2icpXlVygapXVlqCd5/ LGkrvie7rN2SrJ0TWqaEpqmYgAsibFvVpFrLlTT+i4vJhMDPmleFQ30sxklW1BVvkdrYUivg/Ufh
FM4GO5Ti9xbIYpzVlYjTTRqzByFrYAbSYKfO8TNAJeW+yEqeTPJUylLOWSmJS7xgPGuELDjw1ADZ bLBDzv7ogCxCSVOzJFtnCXlkvAFmIA126hw/A1Ra7cq8oumkyDiv+JxUXHCJloTmLeMlBZ5qILvj
Hc9p0RigkpLVJVsfWN1WVXZIi+0EN82rSpaVTHF6WaEwiB93d/0d3N1Fk8lHZBfxN6aFEaNgsoXP uVg0Aai0Ik1FVnvSdHWd77NyM8FN07rmVc0znF7VKAzBj/v7/g7u76PJ5BbZJfibiIURIyO8g88N
NW4llmlF29PSJSqrreSJK88IlWKimVfW5lO9a5s0674duoEmzYX5vCly3sS7bkjkFdLTfefS/Qo7 biXhWS22p6QrqKw3nKauPCNUioliXtXoT822a7PcfNubgTYrmP68LgvaJlszxIoa6THfKXe/wo5q
qrisxWTSCRDXqI3ksnI7mTTycGmFXKeonGr4083Vh9XN9cerifgaC9jZNT2/QgmoKR0EW7K3ZSEc yhs2mRgB4hqNllxebSaTlu8vrJCbDJVTDn+6ubyOb65uLyfsa8JgZ1fi+SVKQE4xEGRJ3lclc7Dp
bGYf7Ro4HIu6VpqUiA1bKdtYxXkSPuNyW8/UFPzBr4AshP1H4quI24avMzGfsX+noQ5OAjtl4aCP fXQr4HDCmkZqUsrWJJa2ESdFGr6gfNPM5BT8wa+ALIT9R+wrS7qWrnI2n5F/F0MGjgM7eemgjxJg
YmB4SNjYcsleTI4SfQZ2ALIByYGQE7YBISmC2Mvouz+VyDP2e1s2oGv4uM1F0QDrN7B8AapqweAR eCiwkeWSnE0OEn0CdgCyAcmBkFOyBiFJgsir6Ic/lcgT8kdXtaBr+LgrWNkC69ewfAmqasHgEWKq
YqrAGwAxOZIfAMx3LwO7pCELEQrc5swf03gC+B/YPowPhx22BdPzehqwcwQcwGmY/pDe9GdLAbEO wRsAMQWSHwDMD68Cu6QmCxEy3ObMH1N4Avgf2D6MD4cdtgXT02YakFMEHMApmP6Q2vRnS4FgHXxQ
PugV69u+dMo6qisORhnCp/erf7y6/jhnPaaxZ67MXl/98urTm4+rv199uLl+9xbWm76Ifoi+u5h2 KzZ3felUTdTUFIwyhE8f43+8vrqdkx7TyAtXZm8u377+9O42/vvl9c3Vh/ew3vQs+in64cepGfp0
Q58+vMHHu6apLp8/rw5VGilRRaXcPtc+sn5egx+LxfPkuXVbz6eTm6uPn95/fPfuzc3ql1d/vXrd /Q4fb9u2vnj5st7XWSRFFVV881L5yOZlA34sYS/Tl9ZtvZxObi5vP328/fDh3U389vVfL9/0FkrO
Wyi+gIVcoPd//XV1/faXdzg+nX6Z/E00POENX/xdeatLdhG9mLwFN3vpWPikGz2vJzdtnnOwCvYV z6cTF+jjX3+Lr96//YDj0+mXyd9YS1Pa0sXfpbe6IOfR2eQ9uNkLx8InZvS0mdx0RUHBKshX+Jn8
fiZ/KXOxqIBC+j551QLl0v28EDlPM/XkTRqLotagr4XyL4QXHwBBIMFjO5pMJqTG2hWF4BrW8Hdu pSrYogYKxffJ6w4o5+7nBStolssn77KElY0CfcOkfxF48QEQBBI8tKPJZCLUWLmiEFzDCv7OtW+K
fNMK2b4MZzNjFOIrxKiYtJXCgYKnwSavwKUCD4y/ifL7BD+DZ8dx8CPRnssiDK4sElCK8zqY68kK ke3LcDbTRsG+QoxKhLaKcCDhxWBb1OBSgQfa30TFQ4qfwbPjOPiRaEd5GQaXFgkoxWkTzNVkCVjl
sMyS1T4BRKAPW9HE+0Rj6NwGQYEx72BO6E4lKE5EKCcXlZUozLYszErvQ+/ZmxzFWVkLDEfWQrel abxLARHow4a1yS5VGIzbEFBgzFuYE7pTBRQVREgnF1U1K/W2LEys9qH27E2OkrxqGIYja6GbShGL
JhY33QWODgAcjNo6EFXxZhf9BvCasDk+zEC9HFo/v7idDTeisNgBy7C35Z7tS3nvcsxAO1RqoWHY mzaBwwCAg5FbB6Jq2m6j3wFeETbHhzmol0Pr57O72XAjEosdsAx7X+3IruIPLsc0tEOlEhqGrSGO
GuK47gbZ607Zg5nrX4qy8TxaYCI8LBdo5PDxmascPQ9j17sBHYbMAZbbg0tje1nCx6SVRnXc3CZy KzNI3hhlD2aufymr1vNogY7wsFygkMPHF65y9DyMXe8GdBgyB1huBy6N7HgFH9OOa9Vxc5vIoaOH
6OhhEYKgBXpmloMLB6tgfF0+iP4kVM60iUsIo8Z1v/QAtL9RDzdpAauP6ZNSP4tbhdxI5o0UotM2 hTEBzdAzkwJcOFgFoavqkfUnoXJmbVJBGNWu+5UHoPyNfLjOSlh9TJ+k+lncMuRGvGg5Y0bblOGs
bTjrNgVwsd2G8N+cdfbTlCsE+3+z+T9gNiRDir8FAymOIPqpg3BsB2GtIJS8LaeOmdHid/y9xniD ugzA2WYTwn9zYuynrWIE+3+z+T9gNkKGIv6WBKQ4gugXA+HYDsJaQUh5W04dMqPFH/h7hfEG1UY8
akOPFvgNfkkH0Z+ipGp/Su+N7klRt1njqxYQooC1EzDyAIOqm5qGLQ2Sp5BTX7+jZCkMfi7bLKFZ WuA3+MUdRH+Kksr9Sb3XusdZ0+Wtr1pAiARWTkDLAwyqaRsxbGngNIOc+uqDSJbC4Neqy1MxS/BR
xEdlrdstWqe2kQS2pJPuUOfv8y4NX615Lcy2nceJyPhBr4qM7iuJhg9s4F6c14vqcJ5E8H/k7Ghq Wutmg9apbCSFLamkO1T5+9yk4fGKNkxv23mcspzu1arI6L6SKPjABu7FabOo96dpBP9Hzo6mNvBz
Az/nzFKBaYb+AjFwU4KGjTy8uJ09nT3aaIDgbi9OiXBk/8do7f0c4ZLVukfcEQFSFonkgwcWsglf SiwVmGaoLxAD1xVo2MjD87vZ89mjjAYINntxSoQD+z9Ea+/nAJes1j3hjgSgyCKRfPDAjLfh2ZxY
zJmVv87H/ULNqUrWpkw1KcOKCoIlGY6Sd68o0jte9pK2HgeWTuI2yg21gyUaQCtHmLC8+I85CGe1 +at83C/UnKpkpctUnTLEoiBYCsOR8u4VRWrHy17S1uPA0kncRrkhd7BEA+j4CBOW5/8xB+HEa/rA
4fdi+VG2ovO9OScHULdQSe4pnScd5eu6zNCMkRcTu4SjaQCCf0OXe3terxSXBPraoLrfrsCkKI+s lre8Y8b3FlQ4gKaDSnIn0nmho3TVVDmaMfJiYpdwNA1A8G/ocm9Hm1hyiaGvDeqHTQwmJfLIRqTV
Ka1G/uZl0maixtLuS7ebwHKlDzj0094XRzTeej6AUs4dr3nTyNADBENZJU7UHy0LcLbm4HhdQEN+ yN+iSrucNVjafTG7CSxX+oBDP+19cUTjrecDSOXc0oa2LQ89QDCUOHWi/mhZgLMVB8frAjHkl+x9
yd4H0c7BVlMdxLFCq5upovMf8RbHmecxI9J9hXBqWfLjcgp1mV5vNkJYfx8+Rp3K/1wWmyyNG39x EOUcbDVlIA4VWmamjM7f4y0OM89jRqT6CuHUsuTn5RTqMrXebISw/j58jCqV/7Uq13mWtP7iDPRE
AXqi6pmY/Ek4A4/SF52rV0Pu43QIhZAFRXsJxXc4gJh+JN9OG0vcNonTTgp/XJ5DEZXWJGr+ACUE 1jOJ8CfhDDxKX3SuXg25j9MhFEIWFO04FN/hAGJ6K3y72FjqtkmcdlL48/IUiqisEaKmj1BCiOrq
VVdfiukQH3Z/Yl4EDSZS2tgB836HnQ1qCelOBnySbYHxJWLvMwECGsVnuh2c5aVEUmNMCw2hm1TW Szkd4sPuT0LLoMVEShk7YN5tsbMhWkKqkwGfeFdifInIx5yBgEbx6W4HJUXFkdQE00JN6DrjTTsH
zRyME9CMTg8A8cE4Hbb45OwriEbgvxRfivDnVkpYJTsoxOxczgC5FwFEhFksZhZDZVZCS5vwpT8m 4wQ0o9MDQLzXTocsPjn7CqIR+C/llzL8teMcVsn3EjE55TNA7kUAFmEWi5nFUJml0LI2fOWPsbwZ
snrEQkAHWc/oHAv/3PMUtzgFYzP1osr7YwX2t9jDk6LIMZsZ1esu24FV35bNL2VbJH/YbB8lc4zE sRDQQdIzOsfCP/c8xR1OwdgselHVw6EC+1vs4VlR5JDNjOq1yXZg1fdV+7bqyvS7zfZJMsdIHKRC
QSp0ymGtYil4I/r+aoWbIwvssiyKWCcC9R8NW/QzErt0yNKOGIr017Yt2dkrhdau+QnGl5Ux1UvU xxxWnHBGW9b3VzFuTligybJExDoSqL83bImfkdilQpZyxFCkv7FtSWOvIrSa5icYX14lol4SrVnF
mtWcTxvVbSx4LlTWeKdpv4OskJKzNbZQH3iWetiN6RVtvhYSTJqTLXdugXBhy5KyYmrjdL1TUAOa +ayV3caSFkxmjfeK9nvICkVytsIW6iPNMw+7Nr2yK1aMg0lTYcvGLQhc2LIUWbFo45jeKaiBmMLI
Itidx487ho2XEJxEvDOriyJRkRP7ypwFz4NZxO4UT+5wRa84AAcjpDBZZFfJmVVEEqk9Ege76XoP vcePe4KNlxCcRLLVq7MylZET+8qUBC+DWUTuJU/ucUWvOAAHwzjTWaSp5PQqLI3kHgUHzXS1B9EV
1BWOyyKh/mzFMdavxQb9DbZi46blme0S0/4aLLWayIjhX5IzeOGIhNpKqMTXFIgEtuZ1j1xmWHdN TqoyFf3ZmmKsX7E1+htsxSZtR3PbJRb7a7HUaiMthn9JzuCFIyHUjkMlvhKBiGFrXvXIeY5118Qx
HHMcDZcOipdjc5vtP1eoDtiP8vLjCOu07T/RA2rpq0a89NJVFCQEQ4NFpYD8QQBLj2ThBlQnmDJG x9Fw6aB4NTa33fwzRnXAfpSXH0dYp23+iR5QSV824rmXrqIgIRhqLDIFpI8MWHogC9egKsHkCaKD
dLAv3e91zLWXOiu0s0vk+auHMkWtrtB0k44cm+QMonpXv3TWQ06+ns5xS77PVkRpLoWD4TP2QfDk fal+r2OuvdRZop1dIM9fP1YZanWNppsacmySM4jqpn4x1iOcfDOd45Z8ny2JUlwKB8Mn5JrR9KUI
OQVXhhEG8jMgna3B5O7neCqwRyXEcKh8C2hyXEoJ7oKsr4cMdktabewlxfOZRhC8UWHzg51CzBBk rgQjDORnQDpZgck9zPFUYIdKiOFQ+hbQ5KTiHNyFsL4eMtit0GptLxmez7RMwGsV1j/YKcQMgSeg
DPrAk15SpdhIRCtmzdl0v54OgHRegMjs2MBpaknAWiM5BhBgavgePOAfiXewqAtv27kkYdhLRpag DzTtJVWSjYJoyaw5me5W0wGQygsQmR0bOE0lCVhrJMcAAnQN34MH/CPxDhZ14W07V0gY9pILS1Ay
ZWyqQXDYNbivdfk13LRFjO5Me0Eadsep6Ttnz57d72cnMmN1JGFrFD3dWMZr41pu1PNTSXMfFvNm 1tUgOOwG3Neq+hquuzJBd6a8oBh2x0XTd05evHjYzY5kxvJIwtYoarq2jDfatdzI58eS5j4s5s1Q
KLXHEmak9iEtVQNr0Px3fype14OB/koRrgOSHj7vFnkCjg4WMB2fV+HpEJUvWCg9IbWxE37hAPDk ao8lzEjtY1bJBtag+e/+1LRpBgP9lSJcByQ9fG4WeQYOAwuYDs+r8XRIlC9YKD0jtbET3lIAeHZO
nL4/77gMtfIYjfBE/6g662WGdJ9m0KgIRtO6cUhX6129NZpOZK3QO4RoCHNwGOADisYG/X9QdOPx 3593WIZKebRGeKJ/Up3VMkO6jzNoVASjad04pKv1rt5qTRdkxegdQjSEOTgM8AFla4P+P0R0o8lD
fVuRv9io3FoUaksQ201IIn8J3m2lcRifgIhnrt8Adgxhl2Zpy6Iz8HI47WC4N9L2euVDuA1XvW2r Vwt/sZa5NSvlliC265C01k4AMc1UhAAXCg4vVmgBYu16kLVnncCm4YSlJsmy7gS8HyLZa66OtMNe
DnbWe4TGaiAyEyChxOiwIndAFKuUzt0EWNo+GAuX2rEZ3o0ng5sxT0TKPXHEAOu57sUZ6bwTnoUb +xBuI1axw6qJnfURobFKiPQESDQxasTCTdiNeXsFC9wFY2FUOTzN0/EkcT3moYTSTxzxwHqu23FG
vo1KzXi5PvMdJhtcg10rDIXYm+iMTyHSBtG7N6+j8xrP2vAcN8Jfg/bvB0SnAhxmN9R2VBQajLoP jNfCM3LNt1FpfreAFHFHhKRpGXBNUlCynY76+BQieBB9ePcmOm3wDA/PhyP8NWgrXyM6GTgxaxLt
jAUufg3HRjX95qGlNS8fIGEG41i5nfmwyngsdqDuwnSze5E8rbEfOQTzif9U3EMs9Jr+kHvpTThz TLlDjVH1l7Fwxq/h2KgiXz+0tBbVIyTiYHSx2/EP65wmbAtmxHSXvJchZA32OYdgPvGfygeIsd5h
jyvYBmsPzwNhRmruMTjN4nFSgGp9LB7pvyHOnbtdmWfYN1xggdB3+Gbxgb9cg/TvXbZs/BLJcsD2 AuR0ahPO3MMKusaaxvNsmOnq+xFOE3qcFKBaHbdH6m+Ic+dut+cF9iMXWHj0A4lefOCHV6AnDy5b
SSmLd8/63XV7DJj0lOBv5QOqgMiEOigu2wazXnQee36wJmcqnX7G5jBnzpTma+J78tTzHT5YZ64N 1n7pZTlg+6+iOnDvELjr9hgw6SnB36pHVAGWM3kAXXUtZtPolHZ0b01WV1D9TNBhzpxIy1HE9+Sp
B4heebDKU3kRZDBJuUM9Y85GTlF171vzc+DbLS/ADnjfQ82ZT82oKp0B5j3LRBPUDNW+8719fnZq 5jt8sEFCGR4QHXuw0pq8yDSYJN2smjEnI6ezqqeu+DmIGZYXYAe07+HmxKdmVJVOAPOO5KwNGoJq
pvmNmha6bbx5rwGom/x4PwI/OtwzGE7JQ8N4Z3L9XrMG6dW7rqsZYBnG9DGtBJ+qmvfAVkOs5sSR b3x6n59GzRS/UdNCtz047zUW1eEB3rvAjw73NIZj8lAw3llfv4etQHp1tOtqBliGucKYVoJPlocC
VnpwY28fJU6jIOjtxHfHxzxN3zkfg+tcNd9AQt2dXCMBmitOAEOQ7p5N17vujMQyHwsWwIAHZ+D+ wFZNrOLEgRZ9cGNvNaVOAyLo7cR354c8Td+5H4Izrp6uIVE3J+JIgOKKEwARxNzfMT1xYySW+VgI
8xyoWJXr38Lu2HMWmYZ3BUUhVF4qsj3WaPB8myb8W+Z4LtelF5RypJ56zA2PiNtwx/QWhi6IWHV4 AQY8kAOPXhRARVytfg/Nceos0o30GopNqOhkZHyqgeH5NkX4t8zxXK5LLyjlSJ32lBseEbfmju5Z
ICaB0elAFT757EQVhXajOhQ7dqSPbmrrB2GBL57WhceuMMwVbd/g9nqkDDyg4eXQBY76HgV+wvP0 DF2QYNX+UTAJjE4FqvDZZzKy2LQbVaHcsSN1JNRYPwgLfPG0Ljx0NWIuafsGt9cjZeABNS+HLnDU
ffjPKH8VyAez/NynS5A6f9klSTr1vioeUlkWaGy9/NstjrFs3UEZxioh87SuzQ02Ve6eY6fyPq0q 90jwI56n78N/RfnLQD6Y5edOJlcx/tIkWSqlvywfM16VaGy9vN4turEc3kJ5R2rGi6xp9M04WUaf
oGl6YhtD+nRuNurECeB4nqbE1XSJ2XFxOXoSwYSgnxf12NnsHKlaDurHj6WZHhlOw66vM4/v7zEz Ygf0IatroGl6ZBtD+lRuN+rEBcDhPE+KqzWJ3WFxOXoSwYSgnxf12NluHalaDqrHT6WpHhlOI7Cv
7/m7J7mTycyvLboIbLPLMx3XIBzG96jVKX4by/WP2orKxq9+/XWBksR4BlJVn7/BVtJBNn0y6B8L M0/v7ykz7/m7Z7mTycyvWUwEttnliYprEA6TB9TqDL+N1QoHbUVm85e//bZASWI8A6nKz99gK9kg
UE8N8lZPnUB/pPAA4vP7jm/+o5OsmD3iZR7l3CmL/tNMy2GFVwJpbRmvgvSgvdhCbdMuvA5C60+q Gz8a9A8FqOcGeaunTqA/ULgA8cWD4Zv/6CgrZk94mSc5d8yi/zTTcljhlVBKW8arKDVoL8yIdqwJ
rXo0to6cFWrM1DteVVJs0q+hiTo20HURl8KUPiblcvtw2fNHNhnXlw4N4GfzAUJ2Ir46MRxqrYvL r4PQ+ots1x6MrSNnkAqz6EnHNWfr7Guoo44NdCbiijCljl8p3zxe9PyRTcbVZUYN+Fl/gJCdsq9O
2y6ro+G5uZwoijYXkqtri24vB0HVtV+V/y0WEnarbm6obfTLBdgG4IhgVdnU2PdGPV5iUFN4RhpF DIda6/zizmR1YniuLz2ysisYp/I6pNsjQlB5nVjmf4sFh93KGyFyG/1yAbYBOCJYlbcN9tNRj5cY
TVlp4dDMKkubMMB1lsHs86J3XugwwTDQXUzj6h9aKaqwUFVUjB4CZ6Cc6q7lj4o/4z0tj9z6M0Ei 1CSekQZUW9VKOGJmnWdtGOA6y2D2edE7h3SYoBnoLqZw9Q/DJFVYqEoqRg+Xc1BOeYfzZ8mf8V6Z
d4d0fiutlkpgb1sLGdBph71ErI8vsbM82kMaW6WbPWIdSisH6tpX+JuY0yGncxZqrpGOGfDR4/pT R27zWUAid4d0fiutlkpgb9cwHohTFHs5WR2LYsd6tDc1toqZPWIdUisH6tpX+JuEisNT54xVX08d
PbMzthcBWFUMJIwkHU6+DSrp3ERKSqGYUguRY2B3j2yHbRv6ukeT8YsXfVcK2TDckBOOMFOGyfs6 M+CD1wCO9eJOyI4FYFUJkDCSdDj5Nqikc8MprZhkSsNYgYHdPQoetn3E1x2ajF+8qDtYyIbhhpxw
wizSP4v2MX5QB9KYnkR0ybxXPUlBoR7Hl+S2fZ31Up2Ph0oM+IVNU+dM69X7638lwZY6W6T2lwH1 hJkyTN41EWaR/hm3j/FaHnRjehKJy+u96okzEepxfCnctq+zXqpzu6/ZgF/YjHXOyl5/vPpXEmyp
9FXTvY/mvrDhlkyqbTAuqDOWiEboe38Yz/GuQBcUUW+TfobdnRMu++RFZqiv3e6LJE5RppYGXTfN s0VqfxlQT1813Xtu7osgbskk2wbjgjohKWuZuk+I8RzvIJigiHqb9jNsc/647JMX6aG+drsvqDhF
mpFVNC/o1EP5RlRP8o3pVyK2kuVDmohEvVOSbjS8+/ZK7bRGEn1lMJ/bUxfTEHXrIT+UjFE2LgWN mVwadF03a0ZWUbwQpynSN6J6Ct+YfRXE1rx6zFKWyndVsrWCd9+KaZzWSKquIhZze5qjG61uPeSH
DRg67xMMiNRhzdhl2aFvU/fogZYdVEfHKygvMwMbVXKs3QuHeksjm4hEkeggQvfajmyqWKj7iFZ4 kjHKxqWgsAFD532CAZE8BBq7hDv0bfJ+PtCyherocAXlZWZgo1KOjXuRUW1pZBMRK1MVRMR9uQOb
Hh1o7ce7fKNSNZM1aYBjzN+ONH2cK6vHSTqWRI2Qcjqn0iSGx1JS1Dm/W/INaenRvPREb7zHG3/e KhfynqMVnkcHWvvhLt+oVPVkRRrgGPO3I00f5yrsYZIOJVEjpBzPqRSJ4aGUFHXO75Z8Q1p6MC89
sDvu6kZ3tohmTQfgykPSYbTj/QvRF61fEPxReQ7phZiUV0CkcJr6GW+LeGczO/ukHzw/6BFv4xjt 0lvv8cafN+yuu7phzizRrMXBuvSQ4pDb8f4l64vWLwi+V55DeiEmFTUQyZxDgZx2ZbK1mZ190g+e
VFlK73opCOpJmJeBFFSVVizn8h5vHJSM0zExtxPW7VYXT3lyge+eBIvYv7AOiQRe/8nEQrcmFuIr 12rE2zhGO1mWinfIJIToSeiXjCRUndWkoPwBbzJUhIrjZ2onrLqNKp6K9BzfaQkWiX8RHhIJvFaU
vQ4GCfQi5wXE8CS47ZC8PIZEiriUBlK/j0MJ5+V3t5iwKArAlYwNvHRCqRl+cdv1QbBd6Cazn/03 s4VqTSzYV/GaGSTQi4KWEMPT4M4geXUICWdJxTWkes9HJJwXP9xhwiIpAFcyNvDKCaV6+OzO9EGw
YG4huTLTJgYH3U0afbmpE4lzYbsW2UadGCynEdT5ucA7E/USo5U9ktKXzOkMXEOoA1a6/yBBhEpe Xegms5/9N2vuILnS0yYah7jzNPrSlBGJcxG8YflanhgspxHU+QXDuxjNEqOVPepSl9fF2bqCkAe3
+DVW16vMHWuzP3uXA709vppX7gus5PMywZf4VGTBMw4CcHsS9rDSIElBvanTB4qU1BG7ww0E3Z0Y 4l4FBxFKeeHXRF7b0ne39f7sHRH09vjKX7UrsZIvqhRfDpSRBc84BIDbk7CHoBpJBuotOn2gSGkT
fKMOkG4EETK4Yg6Eag7AR5isdxSgj1dJMM+IiBzfkKR7MsBPIplanwYPni1o+4DotD6wrWg0rnDm kXvcQGDu2uCbeoB0zQQhg6vrQKjiAHyEyWpHAfp4mQTTXBBR4JuX4v4N8FOQLFqfGg+eLSj7gOi0
Xx7RiV9cVgf3O1R9UFvo+5CKoeqqvQHQjLeXJl0OgD7cdhmHEcsg0zADGPWzzaSrc2Al8rQQqzSI 2pMNaxWucOZfSlGJX1LVe/c7VH1QW6h7lpKh8gq/BlCMt5cxXQ6APtyZjEOLZZBp6AGM+vl6Yuoc
V6brYd3573m8M0OYR4++y1PzjUCpit6NBgsZ8QrK3STUa/hO0tC1JG5F+OskIN6lw17R99//l0qL WEl4WohVCsQr09Ww6vz3PN6JJsyjR90RauiaoVRZ76aEhYxoDeVuGqo1fCep6VoKbkX46ygg3tHD
4jQH+VF9BgS++M8XL5zsL9tEWvYGqdL+Ll35INAdCFYj+12aXft2m5nsv1n4cs6+d1iERobzhQwB XtGPP/6XTIuSrAD5ifoMCDz7z7MzJ/vL15GSvUYqtd+kK9cM3QEjDbLfpdm1b7eZSf6bhK/m5EeH
w8Uc8bycjdYlcV4RTIQtCQUY2XO5Pt8QaagwjwNIRX04duoyQHQvDkujgRHedAD9RZoDJCCYYSJO RWhkOJ/xEDCczxHPq9loXZIUtYCJsCUhASN7LtfnGyINJeZxAC6pD8dOXQaIHth+qTUwwhsUoL9I
2NTNacMgSArpkgvg6ky4M1vUXZIHZol95vW0zhn3iKTzz9EmipG4z6DBtQGScrwD4qyMNd7ZELCl c4AEBDNMxAU2eSNbMwiSQnF5BnAZEzZmi7or5IFZYp95Pa1zxj0ixfnnaBNFS9xn0OA6gpBysgXi
c9UnAMY72NkJQNN8dUz2f3HlV6koTs6A+xkU3BfDYpsuVPcK+bErGoRslay3ISjhVPsWfLUQL3uJ rIwV3tkQsBPnqs8ATLawsyOAuvnqmOz/4iqxVFGcnAP3cyi4z4fFtrio3Svkx65+CGRxutqEoIRT
3vtK7gtcoX6j2YYA+vtT9zKHfSsVvGmgX4I1MYt13ZrSvOXTFWO6PPa9o7Oy8mqaGZqKCCt+Q5/n 5VvwlUW8RMZ670G5L4aF6k1pGwLE31/MSyL2bVfwpoF6uVbHLGK6NZV+e8gUY6o89r2js7L0aooZ
pY4Y4w/HMrSp6h6YO9E1e29e3/0BQzTko0L2rlGpy+s3h7oR+RXG1gsnaXIIN07NNCi8poIL2DVr iooIK35Nn+elDhjjT4cytKnsHui71g35qF8L/glDNOSjjPeuZ8lL8Tf7pmXFJcbWcydpcgjXTk03
wbQUs3tcfo8jKpaqQyeINIVwOk61B06I6Lahfmc7ekdQhEZqV6CAIp4kK4XD1ruGYLyAWjfLwGU2 KLymggtomrVgWpLZPS5/xBEZS+WhE0Sakjkdp8YDF4jELUb1Lnj0QUAJNFy5AgkU0TSNJQ5b72qC
POR092YZ1A22/hpwBQS54W2my3N7x3Unsmpp0iO0cWI2vRiu5c7CU6yfBU+h1lygW+CdxI5s76Zi 8WJr0y4Dl9nwkIo7PcugabH114IrEJBr2uWqPLd3Z7csr5c6PUIbF8wWL5wruZPwGOtnwXOo1Rfz
gJlMwx+4XE4/fXgztSQaykfv6Cr6zT8LgEkN3lylwKxvoJb2+t64YusdaEHNTeamd+QK3SSyJfBH FnjX0ZDt3YAMMJNp6SPly+mn63dTS6KmfPTur6Rf/3MDmNTgjVgRmNXN1speCxxXbLUDJai5ztzU
5xydUXHsom4L4HjiqpERP2lQzsExHrmRbDXq+tS/J0A++4rXBw1lVMr8ewZLX01V/+fkq0z+RWhj jlyh60S2Av6onMMYFcUu6qYEjqeuGmnxCw0qKDjGAzedrUZdHft3CoTPvqTNXkFpldL/TsLSV1PZ
v95TzzCGLxmf8kbgsVK6Doi12oragasV8mG10i+8dxkwcQcm/A9nRa43 /zn6ipR/wVrbr/fUM4zhy8vHvBF4rExcM8RaLRbtwDhGPsSxepHeZMCCOzDhfwBqDMd7
""") """)
##file activate.sh ##file activate.sh
@@ -2273,9 +2290,9 @@ r7VNubWkndkXaxg5GO3UaOOKS6drO3luDDiO5my3iA0YAKGzPRV1ack8cOdhysI0CYzIPzjSiH5X
##file deactivate.bat ##file deactivate.bat
DEACTIVATE_BAT = convert(""" DEACTIVATE_BAT = convert("""
eJxzSE3OyFfIT0vj4spMU0hJTcvMS01RiPf3cYkP8wwKCXX0iQ8I8vcNCFHQ4FIAguLUEgUliIit eJxzSE3OyFfIT0vj4ipOLVEI8wwKCXX0iXf1C7Pl4spMU0hJTcvMS01RiPf3cYmHyQYE+fsGhCho
KhZlqkpcnCA1WKRsuTTxWBIZ4uHv5+Hv64piEVwU3TK4BNBCmHIcKvDb6xjigWIjkI9uF1AIu7dA cCkAAUibEkTEVhWLMlUlLk6QGixStlyaeCyJDPHw9/Pw93VFsQguim4ZXAJoIUw5DhX47XUM8UCx
akGGW7n6uXABALCXXUI= EchHtwsohN1bILUgw61c/Vy4AJYPYm4=
""") """)
##file activate.ps1 ##file activate.ps1