after_merge stringlengths 28 79.6k | before_merge stringlengths 20 79.6k | url stringlengths 38 71 | full_traceback stringlengths 43 922k | traceback_type stringclasses 555
values |
|---|---|---|---|---|
def make_file_dict(filename):
"""Generate the data dictionary for the given RPath
This is a global function so that os.name can be called locally,
thus avoiding network lag and so that we only need to send the
filename over the network, thus avoiding the need to pickle an
(incomplete) rpath object.... | def make_file_dict(filename):
"""Generate the data dictionary for the given RPath
This is a global function so that os.name can be called locally,
thus avoiding network lag and so that we only need to send the
filename over the network, thus avoiding the need to pickle an
(incomplete) rpath object.... | https://github.com/rdiff-backup/rdiff-backup/issues/392 | 2020-06-05 11:41:40.304281 +0530 <CLIENT-8640> Exception '(32, 'GetFileAttributes', 'The process cannot access the file because it is being used by another process.')' raised of class '<class 'pywintypes.error'>':
File "rdiff_backup\robust.py", line 35, in check_common_error
File "rdiff_backup\rpath.py", line 1412, i... | pywintypes.error |
def open_logfile_local(self, rpath):
"""Open logfile locally - should only be run on one connection"""
assert rpath.conn is Globals.local_connection
try:
self.logfp = rpath.open("ab")
except (OSError, IOError) as e:
raise LoggerError("Unable to open logfile %s: %s" % (rpath.path, e))
... | def open_logfile_local(self, rpath):
"""Open logfile locally - should only be run on one connection"""
assert rpath.conn is Globals.local_connection
try:
self.logfp = rpath.open("a")
except (OSError, IOError) as e:
raise LoggerError("Unable to open logfile %s: %s" % (rpath.path, e))
... | https://github.com/rdiff-backup/rdiff-backup/issues/356 | 2020-05-11 21:04:14.547611 +0000 <CLIENT-286> Using rdiff-backup version 2.0.1rc0
2020-05-11 21:04:14.547685 +0000 <CLIENT-286> with cpython /usr/bin/python3 version 3.6.8
2020-05-11 21:04:14.550694 +0000 <CLIENT-286> on Linux-4.19.37-x86_64-with-centos-7.8.2003-Core, fs encoding ascii
2020-05-11 21:04:14.55233... | UnicodeEncodeError |
def log_to_file(self, message):
"""Write the message to the log file, if possible"""
if self.log_file_open:
if self.log_file_local:
tmpstr = self.format(message, self.verbosity)
if type(tmpstr) == str: # transform string in bytes
tmpstr = tmpstr.encode("utf-8", "... | def log_to_file(self, message):
"""Write the message to the log file, if possible"""
if self.log_file_open:
if self.log_file_local:
tmpstr = self.format(message, self.verbosity)
if type(tmpstr) != str: # transform bytes into string
tmpstr = str(tmpstr, "utf-8")
... | https://github.com/rdiff-backup/rdiff-backup/issues/356 | 2020-05-11 21:04:14.547611 +0000 <CLIENT-286> Using rdiff-backup version 2.0.1rc0
2020-05-11 21:04:14.547685 +0000 <CLIENT-286> with cpython /usr/bin/python3 version 3.6.8
2020-05-11 21:04:14.550694 +0000 <CLIENT-286> on Linux-4.19.37-x86_64-with-centos-7.8.2003-Core, fs encoding ascii
2020-05-11 21:04:14.55233... | UnicodeEncodeError |
def log_to_term(self, message, verbosity):
"""Write message to stdout/stderr"""
if verbosity <= 2 or Globals.server:
termfp = sys.stderr.buffer
else:
termfp = sys.stdout.buffer
tmpstr = self.format(message, self.term_verbosity)
if type(tmpstr) == str: # transform string in bytes
... | def log_to_term(self, message, verbosity):
"""Write message to stdout/stderr"""
if verbosity <= 2 or Globals.server:
termfp = sys.stderr
else:
termfp = sys.stdout
tmpstr = self.format(message, self.term_verbosity)
if type(tmpstr) != str: # transform bytes in string
tmpstr = ... | https://github.com/rdiff-backup/rdiff-backup/issues/356 | 2020-05-11 21:04:14.547611 +0000 <CLIENT-286> Using rdiff-backup version 2.0.1rc0
2020-05-11 21:04:14.547685 +0000 <CLIENT-286> with cpython /usr/bin/python3 version 3.6.8
2020-05-11 21:04:14.550694 +0000 <CLIENT-286> on Linux-4.19.37-x86_64-with-centos-7.8.2003-Core, fs encoding ascii
2020-05-11 21:04:14.55233... | UnicodeEncodeError |
def parse_cmdlineoptions(arglist): # noqa: C901
"""Parse argument list and set global preferences"""
global args, action, create_full_path, force, restore_timestr, remote_cmd
global remote_schema, remove_older_than_string
global user_mapping_filename, group_mapping_filename, preserve_numerical_ids
... | def parse_cmdlineoptions(arglist): # noqa: C901
"""Parse argument list and set global preferences"""
global args, action, create_full_path, force, restore_timestr, remote_cmd
global remote_schema, remove_older_than_string
global user_mapping_filename, group_mapping_filename, preserve_numerical_ids
... | https://github.com/rdiff-backup/rdiff-backup/issues/367 | Warning: Access Control List file not found
Warning: Extended Attributes file not found
Exception 'Can't mix strings and bytes in path components' raised of class '<class 'TypeError'>':
File "/usr/lib64/python3.8/site-packages/rdiff_backup/robust.py", line 35, in check_common_error
return function(*args)
File "/usr/lib... | TypeError |
def catch_error(exc):
"""Return true if exception exc should be caught"""
for exception_class in (
rpath.SkipFileException,
rpath.RPathException,
librsync.librsyncError,
C.UnknownFileTypeError,
zlib.error,
):
if isinstance(exc, exception_class):
re... | def catch_error(exc):
"""Return true if exception exc should be caught"""
for exception_class in (
rpath.SkipFileException,
rpath.RPathException,
librsync.librsyncError,
C.UnknownFileTypeError,
zlib.error,
):
if isinstance(exc, exception_class):
re... | https://github.com/rdiff-backup/rdiff-backup/issues/366 | $ python3
Python 3.7.7 (default, Mar 10 2020, 15:43:27)
[Clang 10.0.0 (clang-1000.11.45.5)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
import errno
errno.EDEADLOCK
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'errno' has no attribute... | AttributeError |
def isincfile(self):
"""Return true if path indicates increment, sets various variables"""
if not self.index: # consider the last component as quoted
dirname, basename = self.dirsplit()
temp_rp = rpath.RPath(self.conn, dirname, (unquote(basename),))
result = temp_rp.isincfile()
... | def isincfile(self):
"""Return true if path indicates increment, sets various variables"""
if not self.index: # consider the last component as quoted
dirname, basename = self.dirsplit()
temp_rp = rpath.RPath(self.conn, dirname, (unquote(basename),))
result = temp_rp.isincfile()
... | https://github.com/rdiff-backup/rdiff-backup/issues/266 | $ wget https://git.patrikdufresne.com/pdsl/rdiffweb/raw/master/rdiffweb/tests/testcases.tar.gz
$ tar -zxvf testcases.tar.gz
$ rdiff-backup --version
rdiff-backup 1.9.0b0
$ rdiff-backup --restore-as-of=1414921853 '/testcases/Fichier @ <root>'
Fatal Error: Wrong number of arguments given.
See the rdiff-backup manual page... | TypeError |
def Restore(mirror_rp, inc_rpath, target, restore_to_time):
"""Recursively restore mirror and inc_rpath to target at restore_to_time
in epoch format"""
# Store references to classes over the connection
MirrorS = mirror_rp.conn.restore.MirrorStruct
TargetS = target.conn.restore.TargetStruct
Mir... | def Restore(mirror_rp, inc_rpath, target, restore_to_time):
"""Recursively restore mirror and inc_rpath to target at rest_time"""
MirrorS = mirror_rp.conn.restore.MirrorStruct
TargetS = target.conn.restore.TargetStruct
MirrorS.set_mirror_and_rest_times(restore_to_time)
MirrorS.initialize_rf_cache(m... | https://github.com/rdiff-backup/rdiff-backup/issues/266 | $ wget https://git.patrikdufresne.com/pdsl/rdiffweb/raw/master/rdiffweb/tests/testcases.tar.gz
$ tar -zxvf testcases.tar.gz
$ rdiff-backup --version
rdiff-backup 1.9.0b0
$ rdiff-backup --restore-as-of=1414921853 '/testcases/Fichier @ <root>'
Fatal Error: Wrong number of arguments given.
See the rdiff-backup manual page... | TypeError |
def rorp_eq(src_rorp, dest_rorp):
"""Compare hardlinked for equality
Return false if dest_rorp is linked differently, which can happen
if dest is linked more than source, or if it is represented by a
different inode.
"""
if (
not src_rorp.isreg()
or not dest_rorp.isreg()
... | def rorp_eq(src_rorp, dest_rorp):
"""Compare hardlinked for equality
Return false if dest_rorp is linked differently, which can happen
if dest is linked more than source, or if it is represented by a
different inode.
"""
if (
not src_rorp.isreg()
or not dest_rorp.isreg()
... | https://github.com/rdiff-backup/rdiff-backup/issues/78 | ======================================================================
FAIL: test_session (__main__.HashTest)
Run actual sessions and make sure proper hashes recorded
----------------------------------------------------------------------
Traceback (most recent call last):
File "./testing/hashtest.py", line 95, in test_... | AssertionError |
def Verify(mirror_rp, inc_rp, verify_time):
"""Compute SHA1 sums of repository files and check against metadata"""
assert mirror_rp.conn is Globals.local_connection
repo_iter = RepoSide.init_and_get_iter(mirror_rp, inc_rp, verify_time)
base_index = RepoSide.mirror_base.index
bad_files = 0
for r... | def Verify(mirror_rp, inc_rp, verify_time):
"""Compute SHA1 sums of repository files and check against metadata"""
assert mirror_rp.conn is Globals.local_connection
repo_iter = RepoSide.init_and_get_iter(mirror_rp, inc_rp, verify_time)
base_index = RepoSide.mirror_base.index
bad_files = 0
for r... | https://github.com/rdiff-backup/rdiff-backup/issues/78 | ======================================================================
FAIL: test_session (__main__.HashTest)
Run actual sessions and make sure proper hashes recorded
----------------------------------------------------------------------
Traceback (most recent call last):
File "./testing/hashtest.py", line 95, in test_... | AssertionError |
def compare_hash(cls, repo_iter):
"""Like above, but also compare sha1 sums of any regular files"""
def hashes_changed(src_rp, mir_rorp):
"""Return 0 if their data hashes same, 1 otherwise"""
verify_sha1 = get_hash(mir_rorp)
if not verify_sha1:
log.Log(
"Warn... | def compare_hash(cls, repo_iter):
"""Like above, but also compare sha1 sums of any regular files"""
def hashes_changed(src_rp, mir_rorp):
"""Return 0 if their data hashes same, 1 otherwise"""
if not mir_rorp.has_sha1():
log.Log(
"Warning: Metadata file has no digest ... | https://github.com/rdiff-backup/rdiff-backup/issues/78 | ======================================================================
FAIL: test_session (__main__.HashTest)
Run actual sessions and make sure proper hashes recorded
----------------------------------------------------------------------
Traceback (most recent call last):
File "./testing/hashtest.py", line 95, in test_... | AssertionError |
def hashes_changed(src_rp, mir_rorp):
"""Return 0 if their data hashes same, 1 otherwise"""
verify_sha1 = get_hash(mir_rorp)
if not verify_sha1:
log.Log(
"Warning: Metadata file has no digest for %s, "
"unable to compare." % (mir_rorp.get_safeindexpath(),),
2,
... | def hashes_changed(src_rp, mir_rorp):
"""Return 0 if their data hashes same, 1 otherwise"""
if not mir_rorp.has_sha1():
log.Log(
"Warning: Metadata file has no digest for %s, "
"unable to compare." % (mir_rorp.get_safeindexpath(),),
2,
)
return 0
e... | https://github.com/rdiff-backup/rdiff-backup/issues/78 | ======================================================================
FAIL: test_session (__main__.HashTest)
Run actual sessions and make sure proper hashes recorded
----------------------------------------------------------------------
Traceback (most recent call last):
File "./testing/hashtest.py", line 95, in test_... | AssertionError |
def __init__(self, connection, base, index=(), data=None):
"""Make new QuotedRPath"""
# we avoid handing over "None" as data so that the parent
# class doesn't try to gather data of an unquoted filename
# Caution: this works only because RPath checks on "None"
# and its parent RORPath on Tr... | def __init__(self, connection, base, index=(), data=None):
"""Make new QuotedRPath"""
super().__init__(connection, base, index, data)
self.quoted_index = tuple(map(quote, self.index))
# we need to recalculate path and data on the basis of
# quoted_index (parent class does it on the basis of index)
... | https://github.com/rdiff-backup/rdiff-backup/issues/216 | C:\Users\vmtest\Desktop>C:\Users\vmtest\Downloads\rdiff-backup-1.4.0b0-win64.exe
test_base test_destination
Exception '[WinError 123] La syntaxe du nom de fichier, de répertoire ou de volu
me est incorrecte: b'test_destination/rdiff-backup-data/current_mirror.2019-12-1
5T08:36:05-05:00.data'' raised of class '<class 'O... | OSError |
def start_process(self, index, diff_rorp):
"""Start processing directory"""
self.base_rp, inc_prefix = longname.get_mirror_inc_rps(
self.CCPP.get_rorps(index), self.basis_root_rp, self.inc_root_rp
)
self.base_rp.setdata()
assert diff_rorp.isdir() or self.base_rp.isdir(), (
"Either %s... | def start_process(self, index, diff_rorp):
"""Start processing directory"""
self.base_rp, inc_prefix = longname.get_mirror_inc_rps(
self.CCPP.get_rorps(index), self.basis_root_rp, self.inc_root_rp
)
self.base_rp.setdata()
assert diff_rorp.isdir() or self.base_rp.isdir(), (
"Either %s... | https://github.com/rdiff-backup/rdiff-backup/issues/14 | Exception 'RORPath instance has no attribute 'path'' raised of class '<type 'exceptions.AttributeError'>':
File "rdiff_backup\Main.pyc", line 304, in error_check_Main
File "rdiff_backup\Main.pyc", line 324, in Main
File "rdiff_backup\Main.pyc", line 280, in take_action
File "rdiff_backup\Main.pyc", line 343, in Backup
... | AttributeError |
def check_target_type(y, indicate_one_vs_all=False):
"""Check the target types to be conform to the current samplers.
The current samplers should be compatible with ``'binary'``,
``'multilabel-indicator'`` and ``'multiclass'`` targets only.
Parameters
----------
y : ndarray,
The array ... | def check_target_type(y, indicate_one_vs_all=False):
"""Check the target types to be conform to the current samplers.
The current samplers should be compatible with ``'binary'``,
``'multilabel-indicator'`` and ``'multiclass'`` targets only.
Parameters
----------
y : ndarray,
The array ... | https://github.com/scikit-learn-contrib/imbalanced-learn/issues/671 | TypeError Traceback (most recent call last)
<ipython-input-51-da2a32d7cb52> in <module>()
----> pipe.fit(X_train, y_train)
10 frames
/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_search.py in fit(self, X, y, groups, **fit_params)
737 refit_start_time = time... | TypeError |
def _yield_sampler_checks(name, Estimator):
yield check_target_type
yield check_samplers_one_label
yield check_samplers_fit
yield check_samplers_fit_resample
yield check_samplers_sampling_strategy_fit_resample
yield check_samplers_sparse
yield check_samplers_pandas
yield check_samplers_m... | def _yield_sampler_checks(name, Estimator):
yield check_target_type
yield check_samplers_one_label
yield check_samplers_fit
yield check_samplers_fit_resample
yield check_samplers_sampling_strategy_fit_resample
yield check_samplers_sparse
yield check_samplers_pandas
yield check_samplers_m... | https://github.com/scikit-learn-contrib/imbalanced-learn/issues/671 | TypeError Traceback (most recent call last)
<ipython-input-51-da2a32d7cb52> in <module>()
----> pipe.fit(X_train, y_train)
10 frames
/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_search.py in fit(self, X, y, groups, **fit_params)
737 refit_start_time = time... | TypeError |
def save_readability(
link: Link, out_dir: Optional[str] = None, timeout: int = TIMEOUT
) -> ArchiveResult:
"""download reader friendly version using @mozilla/readability"""
out_dir = Path(out_dir or link.link_dir)
output_folder = out_dir.absolute() / "readability"
output = str(output_folder)
... | def save_readability(
link: Link, out_dir: Optional[str] = None, timeout: int = TIMEOUT
) -> ArchiveResult:
"""download reader friendly version using @mozilla/readability"""
out_dir = Path(out_dir or link.link_dir)
output_folder = out_dir.absolute() / "readability"
output = str(output_folder)
... | https://github.com/ArchiveBox/ArchiveBox/issues/458 | [√] [2020-08-26 21:10:43] "Big Brother is Watching - '17 WRX Limited and all '17 STI - Page 3 - NASIOC"
https://forums.nasioc.com/forums/showthread.php?t=2803387&amp;highlight=big+brother&amp;page=3
√ ./archive/1576899114
> readability
! Failed to archive link: Exception: Exception in archive_methods.save_reada... | UnboundLocalError |
def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def fix_invalid_folder_locations(
out_dir: str = OUTPUT_DIR,
) -> Tuple[List[str], List[str]]:
fixed = []
cant_fix = []
for entry in os.scandir(os.path.join(out_dir, ARCHIVE_DIR_NAME)):
if entry.is_dir(follow_symlinks=True):
if os.path.exists(os.path.join(entry.path, "index.json")):
... | def fix_invalid_folder_locations(
out_dir: str = OUTPUT_DIR,
) -> Tuple[List[str], List[str]]:
fixed = []
cant_fix = []
for entry in os.scandir(os.path.join(out_dir, ARCHIVE_DIR_NAME)):
if entry.is_dir(follow_symlinks=True):
if os.path.exists(os.path.join(entry.path, "index.json")):
... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def parse_json_links_details(out_dir: str) -> Iterator[Link]:
"""read through all the archive data folders and return the parsed links"""
for entry in os.scandir(os.path.join(out_dir, ARCHIVE_DIR_NAME)):
if entry.is_dir(follow_symlinks=True):
if os.path.exists(os.path.join(entry.path, "inde... | def parse_json_links_details(out_dir: str) -> Iterator[Link]:
"""read through all the archive data folders and return the parsed links"""
for entry in os.scandir(os.path.join(out_dir, ARCHIVE_DIR_NAME)):
if entry.is_dir(follow_symlinks=True):
if os.path.exists(os.path.join(entry.path, "inde... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def get_unrecognized_folders(
links, out_dir: str = OUTPUT_DIR
) -> Dict[str, Optional[Link]]:
"""dirs that don't contain recognizable archive data and aren't listed in the main index"""
by_timestamp = {link.timestamp: 0 for link in links}
unrecognized_folders: Dict[str, Optional[Link]] = {}
for en... | def get_unrecognized_folders(
links, out_dir: str = OUTPUT_DIR
) -> Dict[str, Optional[Link]]:
"""dirs that don't contain recognizable archive data and aren't listed in the main index"""
by_timestamp = {link.timestamp: 0 for link in links}
unrecognized_folders: Dict[str, Optional[Link]] = {}
for en... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def is_valid(link: Link) -> bool:
dir_exists = os.path.exists(link.link_dir)
index_exists = os.path.exists(os.path.join(link.link_dir, "index.json"))
if not dir_exists:
# unarchived links are not included in the valid list
return False
if dir_exists and not index_exists:
return F... | def is_valid(link: Link) -> bool:
dir_exists = os.path.exists(link.link_dir)
index_exists = os.path.exists(os.path.join(link.link_dir, "index.json"))
if not dir_exists:
# unarchived links are not included in the valid list
return False
if dir_exists and not index_exists:
return F... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | def parse_json_main_index(out_dir: str = OUTPUT_DIR) -> Iterator[Link]:
"""parse an archive index json file and return the list of links"""
index_path = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(index_path):
with open(index_path, "r", encoding="utf-8") as f:
links = p... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def parse_json_link_details(
out_dir: str, guess: Optional[bool] = False
) -> Optional[Link]:
"""load the json link index from a given directory"""
existing_index = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(existing_index):
with open(existing_index, "r", encoding="utf-8") as f... | def parse_json_link_details(out_dir: str) -> Optional[Link]:
"""load the json link index from a given directory"""
existing_index = os.path.join(out_dir, JSON_INDEX_FILENAME)
if os.path.exists(existing_index):
with open(existing_index, "r", encoding="utf-8") as f:
try:
li... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def from_json(cls, json_info, guess=False):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
if guess:
keys = info.keys()
if "start_ts" not in keys:
info["start_ts"], info["end_ts"] = cls.guess_ts(json_info)
el... | def from_json(cls, json_info):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
info["start_ts"] = parse_date(info["start_ts"])
info["end_ts"] = parse_date(info["end_ts"])
info["cmd_version"] = info.get("cmd_version")
return cls(**inf... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def from_json(cls, json_info, guess=False):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
info["updated"] = parse_date(info.get("updated"))
info["sources"] = info.get("sources") or []
json_history = info.get("history") or {}
cast_... | def from_json(cls, json_info):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
info["updated"] = parse_date(info.get("updated"))
info["sources"] = info.get("sources") or []
json_history = info.get("history") or {}
cast_history = {}
... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def from_json(cls, json_info, guess=False):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
if guess:
keys = info.keys()
if "start_ts" not in keys:
info["start_ts"], info["end_ts"] = cls.guess_ts(json_info)
el... | def from_json(cls, json_info, guess=False):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
if guess:
keys = info.keys()
if "start_ts" not in keys:
info["start_ts"], info["end_ts"] = cls.guess_ts(json_info)
el... | https://github.com/ArchiveBox/ArchiveBox/issues/374 | Traceback (most recent call last):
File "/home/USERNAME/.local/bin/archivebox", line 8, in <module>
sys.exit(main())
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init__.py", line 126, in main
pwd=pwd or OUTPUT_DIR,
File "/home/USERNAME/.local/lib/python3.7/site-packages/archivebox/cli/__init... | KeyError |
def log_link_archiving_started(link: "Link", link_dir: str, is_new: bool):
# [*] [2019-03-22 13:46:45] "Log Structured Merge Trees - ben stopford"
# http://www.benstopford.com/2015/02/14/log-structured-merge-trees/
# > output/archive/1478739709
print(
'\n[{symbol_color}{symbol}{reset}] ... | def log_link_archiving_started(link: Link, link_dir: str, is_new: bool):
# [*] [2019-03-22 13:46:45] "Log Structured Merge Trees - ben stopford"
# http://www.benstopford.com/2015/02/14/log-structured-merge-trees/
# > output/archive/1478739709
print(
'\n[{symbol_color}{symbol}{reset}] [{... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def log_link_archiving_finished(link: "Link", link_dir: str, is_new: bool, stats: dict):
total = sum(stats.values())
if stats["failed"] > 0:
_LAST_RUN_STATS.failed += 1
elif stats["skipped"] == total:
_LAST_RUN_STATS.skipped += 1
else:
_LAST_RUN_STATS.succeeded += 1
| def log_link_archiving_finished(link: Link, link_dir: str, is_new: bool, stats: dict):
total = sum(stats.values())
if stats["failed"] > 0:
_LAST_RUN_STATS.failed += 1
elif stats["skipped"] == total:
_LAST_RUN_STATS.skipped += 1
else:
_LAST_RUN_STATS.succeeded += 1
| https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def log_archive_method_finished(result: "ArchiveResult"):
"""quote the argument with whitespace in a command so the user can
copy-paste the outputted string directly to run the cmd
"""
# Prettify CMD string and make it safe to copy-paste by quoting arguments
quoted_cmd = " ".join(
'"{}"'.for... | def log_archive_method_finished(result: ArchiveResult):
"""quote the argument with whitespace in a command so the user can
copy-paste the outputted string directly to run the cmd
"""
# Prettify CMD string and make it safe to copy-paste by quoting arguments
quoted_cmd = " ".join(
'"{}"'.forma... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def log_list_finished(links):
from .index.csv import links_to_csv
print()
print(
"---------------------------------------------------------------------------------------------------"
)
print(
links_to_csv(
links,
cols=["timestamp", "is_archived", "num_outputs... | def log_list_finished(links):
print()
print(
"---------------------------------------------------------------------------------------------------"
)
print(
links_to_csv(
links,
cols=["timestamp", "is_archived", "num_outputs", "url"],
header=True,
... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def log_removal_started(links: List["Link"], yes: bool, delete: bool):
print(
"{lightyellow}[i] Found {} matching URLs to remove.{reset}".format(
len(links), **ANSI
)
)
if delete:
file_counts = [
link.num_outputs for link in links if os.path.exists(link.link_d... | def log_removal_started(links: List[Link], yes: bool, delete: bool):
print(
"{lightyellow}[i] Found {} matching URLs to remove.{reset}".format(
len(links), **ANSI
)
)
if delete:
file_counts = [
link.num_outputs for link in links if os.path.exists(link.link_dir... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def log_shell_welcome_msg():
from .cli import list_subcommands
print("{green}# ArchiveBox Imports{reset}".format(**ANSI))
print(
"{green}from archivebox.core.models import Snapshot, User{reset}".format(**ANSI)
)
print(
"{green}from archivebox import *\n {}{reset}".format(
... | def log_shell_welcome_msg():
from . import list_subcommands
print("{green}# ArchiveBox Imports{reset}".format(**ANSI))
print(
"{green}from archivebox.core.models import Snapshot, User{reset}".format(**ANSI)
)
print(
"{green}from archivebox import *\n {}{reset}".format(
... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def printable_folders(
folders: Dict[str, Optional["Link"]], json: bool = False, csv: Optional[str] = None
) -> str:
if json:
from .index.json import to_json
return to_json(folders.values(), indent=4, sort_keys=True)
elif csv:
from .index.csv import links_to_csv
return lin... | def printable_folders(
folders: Dict[str, Optional[Link]], json: bool = False, csv: Optional[str] = None
) -> str:
if json:
return to_json(folders.values(), indent=4, sort_keys=True)
elif csv:
return links_to_csv(folders.values(), cols=csv.split(","), header=True)
return "\n".join(f"{f... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def main(
args: Optional[List[str]] = NotProvided,
stdin: Optional[IO] = NotProvided,
pwd: Optional[str] = None,
) -> None:
args = sys.argv[1:] if args is NotProvided else args
stdin = sys.stdin if stdin is NotProvided else stdin
subcommands = list_subcommands()
parser = argparse.ArgumentPa... | def main(
args: Optional[List[str]] = NotProvided,
stdin: Optional[IO] = NotProvided,
pwd: Optional[str] = None,
) -> None:
args = sys.argv[1:] if args is NotProvided else args
stdin = sys.stdin if stdin is NotProvided else stdin
subcommands = list_subcommands()
parser = argparse.ArgumentPa... | https://github.com/ArchiveBox/ArchiveBox/issues/372 | Traceback (most recent call last):
File "/home/kangus/src/ArchiveBox/bin/archivebox", line 7, in <module>
from .cli import main
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 65, in <module>
SUBCOMMANDS = list_subcommands()
File "/home/kangus/src/ArchiveBox/archivebox/cli/__init__.py", line 41, in ... | ImportError |
def from_json(cls, json_info):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
info["updated"] = parse_date(info.get("updated"))
info["sources"] = info.get("sources") or []
json_history = info.get("history") or {}
cast_history = {}
... | def from_json(cls, json_info):
from ..util import parse_date
info = {key: val for key, val in json_info.items() if key in cls.field_names()}
try:
info["updated"] = int(
parse_date(info.get("updated"))
) # Cast to int which comes with rounding down
except (ValueError, TypeEr... | https://github.com/ArchiveBox/ArchiveBox/issues/336 | /home/kangus/src/archivebox0.4/ArchiveBox/bin/archivebox init
[*] Updating existing ArchiveBox collection in this folder...
/data/Zalohy/archivebox
------------------------------------------------------------------
[*] Verifying archive folder structure...
√ /data/Zalohy/archivebox/sources
√ /data/Zalohy/archivebox/a... | ValueError |
def parse_date(date: Any) -> Optional[datetime]:
"""Parse unix timestamps, iso format, and human-readable strings"""
if date is None:
return None
if isinstance(date, datetime):
return date
if isinstance(date, (float, int)):
date = str(date)
if isinstance(date, str):
... | def parse_date(date: Any) -> Optional[datetime]:
"""Parse unix timestamps, iso format, and human-readable strings"""
if date is None:
return None
if isinstance(date, datetime):
return date
if isinstance(date, (float, int)):
date = str(date)
if isinstance(date, str):
... | https://github.com/ArchiveBox/ArchiveBox/issues/336 | /home/kangus/src/archivebox0.4/ArchiveBox/bin/archivebox init
[*] Updating existing ArchiveBox collection in this folder...
/data/Zalohy/archivebox
------------------------------------------------------------------
[*] Verifying archive folder structure...
√ /data/Zalohy/archivebox/sources
√ /data/Zalohy/archivebox/a... | ValueError |
def clip(
ctx,
files,
output,
bounds,
like,
driver,
projection,
overwrite,
creation_options,
with_complement,
):
"""Clips a raster using projected or geographic bounds.
\b
$ rio clip input.tif output.tif --bounds xmin ymin xmax ymax
$ rio clip input.tif outpu... | def clip(
ctx,
files,
output,
bounds,
like,
driver,
projection,
overwrite,
creation_options,
with_complement,
):
"""Clips a raster using projected or geographic bounds.
\b
$ rio clip input.tif output.tif --bounds xmin ymin xmax ymax
$ rio clip input.tif outpu... | https://github.com/mapbox/rasterio/issues/2112 | $ rio clip rotated.tif output.tif --like bounds.tif
Traceback (most recent call last):
File "/home/denis/test/env/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/denis/test/env/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/denis/test/env... | rasterio.errors.WindowError |
def geometry_window(
dataset,
shapes,
pad_x=0,
pad_y=0,
north_up=None,
rotated=None,
pixel_precision=None,
boundless=False,
):
"""Calculate the window within the raster that fits the bounds of
the geometry plus optional padding. The window is the outermost
pixel indices that... | def geometry_window(
dataset, shapes, pad_x=0, pad_y=0, north_up=True, rotated=False, pixel_precision=3
):
"""Calculate the window within the raster that fits the bounds of the
geometry plus optional padding. The window is the outermost pixel indices
that contain the geometry (floor of offsets, ceiling... | https://github.com/mapbox/rasterio/issues/2112 | $ rio clip rotated.tif output.tif --like bounds.tif
Traceback (most recent call last):
File "/home/denis/test/env/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/denis/test/env/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/denis/test/env... | rasterio.errors.WindowError |
def raster_geometry_mask(
dataset,
shapes,
all_touched=False,
invert=False,
crop=False,
pad=False,
pad_width=0.5,
):
"""Create a mask from shapes, transform, and optional window within original
raster.
By default, mask is intended for use as a numpy mask, where pixels that
o... | def raster_geometry_mask(
dataset,
shapes,
all_touched=False,
invert=False,
crop=False,
pad=False,
pad_width=0.5,
):
"""Create a mask from shapes, transform, and optional window within original
raster.
By default, mask is intended for use as a numpy mask, where pixels that
o... | https://github.com/mapbox/rasterio/issues/2112 | $ rio clip rotated.tif output.tif --like bounds.tif
Traceback (most recent call last):
File "/home/denis/test/env/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/denis/test/env/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/denis/test/env... | rasterio.errors.WindowError |
def rowcol(transform, xs, ys, op=math.floor, precision=None):
"""
Returns the rows and cols of the pixels containing (x, y) given a
coordinate reference system.
Use an epsilon, magnitude determined by the precision parameter
and sign determined by the op function:
positive for floor, negati... | def rowcol(transform, xs, ys, op=math.floor, precision=None):
"""
Returns the rows and cols of the pixels containing (x, y) given a
coordinate reference system.
Use an epsilon, magnitude determined by the precision parameter
and sign determined by the op function:
positive for floor, negati... | https://github.com/mapbox/rasterio/issues/2112 | $ rio clip rotated.tif output.tif --like bounds.tif
Traceback (most recent call last):
File "/home/denis/test/env/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/denis/test/env/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/denis/test/env... | rasterio.errors.WindowError |
def from_bounds(
left, bottom, right, top, transform=None, height=None, width=None, precision=None
):
"""Get the window corresponding to the bounding coordinates.
Parameters
----------
left: float, required
Left (west) bounding coordinates
bottom: float, required
Bottom (south) ... | def from_bounds(
left, bottom, right, top, transform=None, height=None, width=None, precision=None
):
"""Get the window corresponding to the bounding coordinates.
Parameters
----------
left: float, required
Left (west) bounding coordinates
bottom: float, required
Bottom (south) ... | https://github.com/mapbox/rasterio/issues/2112 | $ rio clip rotated.tif output.tif --like bounds.tif
Traceback (most recent call last):
File "/home/denis/test/env/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/denis/test/env/lib/python3.6/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/denis/test/env... | rasterio.errors.WindowError |
def main_group(
ctx,
verbose,
quiet,
aws_profile,
aws_no_sign_requests,
aws_requester_pays,
gdal_version,
):
"""Rasterio command line interface."""
verbosity = verbose - quiet
configure_logging(verbosity)
ctx.obj = {}
ctx.obj["verbosity"] = verbosity
ctx.obj["aws_prof... | def main_group(
ctx,
verbose,
quiet,
aws_profile,
aws_no_sign_requests,
aws_requester_pays,
gdal_version,
):
"""Rasterio command line interface."""
verbosity = verbose - quiet
configure_logging(verbosity)
ctx.obj = {}
ctx.obj["verbosity"] = verbosity
ctx.obj["aws_prof... | https://github.com/mapbox/rasterio/issues/2061 | Traceback (most recent call last):
File "rasterio/_base.pyx", line 216, in rasterio._base.DatasetBase.__init__
File "rasterio/_shim.pyx", line 78, in rasterio._shim.open_dataset
File "rasterio/_err.pyx", line 213, in rasterio._err.exc_wrap_pointer
rasterio._err.CPLE_AWSAccessDeniedError: Access Denied | rasterio._err.CPLE_AWSAccessDeniedError |
def convert(
ctx,
files,
output,
driver,
dtype,
scale_ratio,
scale_offset,
photometric,
overwrite,
creation_options,
):
"""Copy and convert raster datasets to other data types and formats.
Data values may be linearly scaled when copying by using the
--scale-ratio and... | def convert(
ctx,
files,
output,
driver,
dtype,
scale_ratio,
scale_offset,
photometric,
overwrite,
creation_options,
):
"""Copy and convert raster datasets to other data types and formats.
Data values may be linearly scaled when copying by using the
--scale-ratio and... | https://github.com/mapbox/rasterio/issues/1985 | $ rio convert --overwrite 20200829.tif
Traceback (most recent call last):
File "/usr/local/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/click/core.py"... | IndexError |
def resolve_inout(
input=None, output=None, files=None, overwrite=False, num_inputs=None
):
"""Resolves inputs and outputs from standard args and options.
Parameters
----------
input : str
A single input filename, optional.
output : str
A single output filename, optional.
fi... | def resolve_inout(input=None, output=None, files=None, overwrite=False):
"""Resolves inputs and outputs from standard args and options.
:param input: a single input filename, optional.
:param output: a single output filename, optional.
:param files: a sequence of filenames in which the last is the
... | https://github.com/mapbox/rasterio/issues/1985 | $ rio convert --overwrite 20200829.tif
Traceback (most recent call last):
File "/usr/local/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/usr/local/lib/python3.8/dist-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/click/core.py"... | IndexError |
def clip(
ctx,
files,
output,
bounds,
like,
driver,
projection,
overwrite,
creation_options,
with_complement,
):
"""Clips a raster using projected or geographic bounds.
\b
$ rio clip input.tif output.tif --bounds xmin ymin xmax ymax
$ rio clip input.tif outpu... | def clip(
ctx,
files,
output,
bounds,
like,
driver,
projection,
overwrite,
creation_options,
with_complement,
):
"""Clips a raster using projected or geographic bounds.
\b
$ rio clip input.tif output.tif --bounds xmin ymin xmax ymax
$ rio clip input.tif outpu... | https://github.com/mapbox/rasterio/issues/1989 | Traceback (most recent call last):
File "/home/sentinel/.local/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/sentinel/.local/lib/python3.8/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/sentinel/.local/lib/python3.8/site-packages/click/core.py", line... | TypeError |
def warp(
ctx,
files,
output,
driver,
like,
dst_crs,
dimensions,
src_bounds,
dst_bounds,
res,
resampling,
src_nodata,
dst_nodata,
threads,
check_invert_proj,
overwrite,
creation_options,
target_aligned_pixels,
):
"""
Warp a raster dataset.
... | def warp(
ctx,
files,
output,
driver,
like,
dst_crs,
dimensions,
src_bounds,
dst_bounds,
res,
resampling,
src_nodata,
dst_nodata,
threads,
check_invert_proj,
overwrite,
creation_options,
target_aligned_pixels,
):
"""
Warp a raster dataset.
... | https://github.com/mapbox/rasterio/issues/1989 | Traceback (most recent call last):
File "/home/sentinel/.local/bin/rio", line 8, in <module>
sys.exit(main_group())
File "/home/sentinel/.local/lib/python3.8/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/sentinel/.local/lib/python3.8/site-packages/click/core.py", line... | TypeError |
def __init__(
self,
session=None,
aws_unsigned=False,
profile_name=None,
session_class=AWSSession,
**options,
):
"""Create a new GDAL/AWS environment.
Note: this class is a context manager. GDAL isn't configured
until the context is entered via `with rasterio.Env():`
Parameters... | def __init__(
self,
session=None,
aws_unsigned=False,
profile_name=None,
session_class=AWSSession,
**options,
):
"""Create a new GDAL/AWS environment.
Note: this class is a context manager. GDAL isn't configured
until the context is entered via `with rasterio.Env():`
Parameters... | https://github.com/mapbox/rasterio/issues/1708 | Traceback (most recent call last):
File "/Users/guillaumelostis/.venv/rio/bin/rio", line 10, in <module>
sys.exit(main_group())
File "/Users/guillaumelostis/.venv/rio/lib/python3.7/site-packages/click/core.py", line 764, in __call__
return self.main(*args, **kwargs)
File "/Users/guillaumelostis/.venv/rio/lib/python3.7/... | ModuleNotFoundError |
def __getstate__(self):
return self.to_wkt()
| def __getstate__(self):
return self.wkt
| https://github.com/mapbox/rasterio/issues/1643 | In [1]: from copy import copy
In [2]: from rasterio.crs import CRS
In [3]: some_crs = CRS(init='epsg:32620')
In [4]: crs = copy(some_crs)
In [5]: bool(some_crs)
Out[5]: True
In [6]: bool(crs)
---------------------------------------------------------------------------
AttributeError Trace... | AttributeError |
def __setstate__(self, state):
self._wkt = None
self._data = None
self._crs = _CRS.from_wkt(state)
| def __setstate__(self, state):
self._crs = _CRS.from_wkt(state)
| https://github.com/mapbox/rasterio/issues/1643 | In [1]: from copy import copy
In [2]: from rasterio.crs import CRS
In [3]: some_crs = CRS(init='epsg:32620')
In [4]: crs = copy(some_crs)
In [5]: bool(some_crs)
Out[5]: True
In [6]: bool(crs)
---------------------------------------------------------------------------
AttributeError Trace... | AttributeError |
def __init__(self, initialdata=None, **kwargs):
"""Make a CRS from a PROJ dict or mapping
Parameters
----------
initialdata : mapping, optional
A dictionary or other mapping
kwargs : mapping, optional
Another mapping. Will be overlaid on the initialdata.
Returns
-------
... | def __init__(self, initialdata=None, **kwargs):
"""Make a CRS from a PROJ dict or mapping
Parameters
----------
initialdata : mapping, optional
A dictionary or other mapping
kwargs : mapping, optional
Another mapping. Will be overlaid on the initialdata.
Returns
-------
... | https://github.com/mapbox/rasterio/issues/1609 | src_crs = rcrs(src_proj)
dst_crs = rcrs(dst_proj)
warp.calculate_default_transform(src_crs, dst_crs, src_width, src_height, left, bottom, right, top)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/trst2284/miniconda3/envs/test/lib/python3.6/site-packages/rasterio/env.py", line 373... | rasterio.errors.CRSError |
def __enter__(self):
return self
| def __enter__(self):
log.debug("Entering env context: %r", self)
if local._env is None:
log.debug("Starting outermost env")
self._has_parent_env = False
# See note directly above where _discovered_options is globally
# defined. This MUST happen before calling 'defenv()'.
... | https://github.com/mapbox/rasterio/issues/1539 | from rasterio.crs import CRS
CRS({'init': 'epsg:4326'}).is_geographic
ERROR 4: Unable to open EPSG support file gcs.csv. Try setting the GDAL_DATA environment variable to point to the directory containing EPSG csv files.
Traceback (most recent call last):
File "rasterio/_base.pyx", line 1310, in rasterio._base._osr_fr... | rasterio._err.CPLE_OpenFailedError |
def __exit__(self, *args):
pass
| def __exit__(self, exc_type=None, exc_val=None, exc_tb=None):
log.debug("Exiting env context: %r", self)
delenv()
if self._has_parent_env:
defenv()
setenv(**self.context_options)
else:
log.debug("Exiting outermost env")
# See note directly above where _discovered_options ... | https://github.com/mapbox/rasterio/issues/1539 | from rasterio.crs import CRS
CRS({'init': 'epsg:4326'}).is_geographic
ERROR 4: Unable to open EPSG support file gcs.csv. Try setting the GDAL_DATA environment variable to point to the directory containing EPSG csv files.
Traceback (most recent call last):
File "rasterio/_base.pyx", line 1310, in rasterio._base._osr_fr... | rasterio._err.CPLE_OpenFailedError |
def plotting_extent(source, transform=None):
"""Returns an extent in the format needed
for matplotlib's imshow (left, right, bottom, top)
instead of rasterio's bounds (left, bottom, top, right)
Parameters
----------
source : array or dataset object opened in 'r' mode
If array, data in... | def plotting_extent(source, transform=None):
"""Returns an extent in the format needed
for matplotlib's imshow (left, right, bottom, top)
instead of rasterio's bounds (left, bottom, top, right)
Parameters
----------
source : array or dataset object opened in 'r' mode
input data
tr... | https://github.com/mapbox/rasterio/issues/1537 | from rasterio.crs import CRS
CRS.from_string(projection_string)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "rasterio/_crs.pyx", line 205, in rasterio._crs._CRS.from_string
File "rasterio/_crs.pyx", line 230, in rasterio._crs._CRS.from_wkt
rasterio.errors.CRSError: Invalid CRS: 'PROJCS["... | rasterio.errors.CRSError |
def xy(self, row, col, offset="center"):
"""Returns the coordinates ``(x, y)`` of a pixel at `row` and `col`.
The pixel's center is returned by default, but a corner can be returned
by setting `offset` to one of `ul, ur, ll, lr`.
Parameters
----------
row : int
Pixel row.
col : int
... | def xy(transform, rows, cols, offset="center"):
"""Returns the x and y coordinates of pixels at `rows` and `cols`.
The pixel's center is returned by default, but a corner can be returned
by setting `offset` to one of `ul, ur, ll, lr`.
Parameters
----------
transform : affine.Affine
Tran... | https://github.com/mapbox/rasterio/issues/1174 | Traceback (most recent call last):
File "buh.py", line 1, in <module>
import rasterio
File "/Users/wursterk/code/rasterio/rasterio/__init__.py", line 25, in <module>
from rasterio.io import (
File "/Users/wursterk/code/rasterio/rasterio/io.py", line 13, in <module>
from rasterio._io import (
File "rasterio/_io.pyx", li... | ImportError |
def reproject(
source,
destination,
src_transform=None,
src_crs=None,
src_nodata=None,
dst_transform=None,
dst_crs=None,
dst_nodata=None,
resampling=Resampling.nearest,
**kwargs,
):
"""
Reproject a source raster to a destination raster.
If the source and destination ... | def reproject(
source,
destination,
src_transform=None,
src_crs=None,
src_nodata=None,
dst_transform=None,
dst_crs=None,
dst_nodata=None,
resampling=Resampling.nearest,
**kwargs,
):
"""
Reproject a source raster to a destination raster.
If the source and destination ... | https://github.com/mapbox/rasterio/issues/674 | Traceback (most recent call last):
File "_test_err.py", line 51, in <module>
test_reproject_identity()
File "_test_err.py", line 45, in test_reproject_identity
resampling=Resampling.nearest)
File "/Users/mperry/work/rasterio/rasterio/warp.py", line 257, in reproject
**kwargs)
File "rasterio/_warp.pyx", line 391, in ras... | rasterio._err.CPLError |
def reproject(
source,
destination,
src_transform=None,
src_crs=None,
src_nodata=None,
dst_transform=None,
dst_crs=None,
dst_nodata=None,
resampling=Resampling.nearest,
**kwargs,
):
"""
Reproject a source raster to a destination raster.
If the source and destination ... | def reproject(
source,
destination,
src_transform=None,
src_crs=None,
src_nodata=None,
dst_transform=None,
dst_crs=None,
dst_nodata=None,
resampling=Resampling.nearest,
**kwargs,
):
"""
Reproject a source raster to a destination raster.
If the source and destination ... | https://github.com/mapbox/rasterio/issues/674 | Traceback (most recent call last):
File "_test_err.py", line 51, in <module>
test_reproject_identity()
File "_test_err.py", line 45, in test_reproject_identity
resampling=Resampling.nearest)
File "/Users/mperry/work/rasterio/rasterio/warp.py", line 257, in reproject
**kwargs)
File "rasterio/_warp.pyx", line 391, in ras... | rasterio._err.CPLError |
def merge(ctx, files, driver):
"""Copy valid pixels from input files to an output file.
All files must have the same shape, number of bands, and data type.
Input files are merged in their listed order using a reverse
painter's algorithm.
"""
import numpy as np
verbosity = (ctx.obj and ctx... | def merge(ctx, files, driver):
"""Copy valid pixels from input files to an output file.
All files must have the same shape, number of bands, and data type.
Input files are merged in their listed order using a reverse
painter's algorithm.
"""
import numpy as np
verbosity = (ctx.obj and ctx... | https://github.com/mapbox/rasterio/issues/240 | (rio-test)$ rio merge warped.tif merged.tif
ERROR:rio:Failed. Exception caught
Traceback (most recent call last):
File "/Users/amit/Mapbox/rasterio/rasterio/rio/merge.py", line 50, in merge
dest.fill(nodataval)
TypeError: long() argument must be a string or a number, not 'NoneType' | TypeError |
def tastes_like_gdal(seq):
"""Return True if `seq` matches the GDAL geotransform pattern."""
return seq[2] == seq[4] == 0.0 and seq[1] > 0 and seq[5] < 0
| def tastes_like_gdal(t):
return t[2] == t[4] == 0.0 and t[1] > 0 and t[5] < 0
| https://github.com/mapbox/rasterio/issues/210 | Traceback (most recent call last):
...
File "copier.py", line 15, in to_png
with rio.open(dst_path, "w", **meta) as dst:
File "xxx/anaconda/lib/python2.7/site-packages/rasterio/__init__.py", line 91, in open
transform = guard_transform(transform)
File "xxx/anaconda/lib/python2.7/site-packages/rasterio/transform.py", li... | ValueError |
def guard_transform(transform):
"""Return an Affine transformation instance"""
if not isinstance(transform, Affine):
if tastes_like_gdal(transform):
warnings.warn(
"GDAL-style transforms are deprecated and will not "
"be supported in Rasterio 1.0.",
... | def guard_transform(transform):
"""Return an Affine transformation instance"""
if not isinstance(transform, Affine):
if tastes_like_gdal(transform):
warnings.warn(
"GDAL-style transforms are deprecated and will not "
"be supported in Rasterio 1.0.",
... | https://github.com/mapbox/rasterio/issues/210 | Traceback (most recent call last):
...
File "copier.py", line 15, in to_png
with rio.open(dst_path, "w", **meta) as dst:
File "xxx/anaconda/lib/python2.7/site-packages/rasterio/__init__.py", line 91, in open
transform = guard_transform(transform)
File "xxx/anaconda/lib/python2.7/site-packages/rasterio/transform.py", li... | ValueError |
def init_cgroups():
# Track metrics for the roll-up cgroup and for the agent cgroup
try:
CGroupsTelemetry.track_cgroup(CGroups.for_extension(""))
CGroupsTelemetry.track_agent()
except Exception as e:
# when a hierarchy is not mounted, we raise an exception
# and we should the... | def init_cgroups():
# Track metrics for the roll-up cgroup and for the agent cgroup
try:
CGroupsTelemetry.track_cgroup(CGroups.for_extension(""))
CGroupsTelemetry.track_agent()
except Exception as e:
logger.error(
"monitor: Exception tracking wrapper and agent: {0} [{1}]"... | https://github.com/Azure/WALinuxAgent/issues/1282 | 2018/07/31 11:41:06.400633 ERROR ExtHandler monitor: Exception tracking wrapper and agent: 'Hierarchy memory is not mounted' [Traceback (most recent call last):
File "bin/WALinuxAgent-2.2.30-py2.7.egg/azurelinuxagent/ga/monitor.py", line 397, in init_cgroups
CGroupsTelemetry.track_cgroup(CGroups.for_extension(""))
File... | azurelinuxagent.common.cgroups.CGroupsException |
def send_cgroup_telemetry(self):
if self.last_cgroup_telemetry is None:
self.last_cgroup_telemetry = datetime.datetime.utcnow()
if datetime.datetime.utcnow() >= (
self.last_telemetry_heartbeat + MonitorHandler.CGROUP_TELEMETRY_PERIOD
):
try:
for cgroup_name, metrics in C... | def send_cgroup_telemetry(self):
if self.last_cgroup_telemetry is None:
self.last_cgroup_telemetry = datetime.datetime.utcnow()
if datetime.datetime.utcnow() >= (
self.last_telemetry_heartbeat + MonitorHandler.CGROUP_TELEMETRY_PERIOD
):
try:
for cgroup_name, metrics in C... | https://github.com/Azure/WALinuxAgent/issues/1282 | 2018/07/31 11:41:06.400633 ERROR ExtHandler monitor: Exception tracking wrapper and agent: 'Hierarchy memory is not mounted' [Traceback (most recent call last):
File "bin/WALinuxAgent-2.2.30-py2.7.egg/azurelinuxagent/ga/monitor.py", line 397, in init_cgroups
CGroupsTelemetry.track_cgroup(CGroups.for_extension(""))
File... | azurelinuxagent.common.cgroups.CGroupsException |
def deploy_ssh_pubkey(self, username, pubkey):
"""
Deploy authorized_key
"""
path, thumbprint, value = pubkey
if path is None:
raise OSUtilError("Public key path is None")
crytputil = CryptUtil(conf.get_openssl_cmd())
path = self._norm_path(path)
dir_path = os.path.dirname(path... | def deploy_ssh_pubkey(self, username, pubkey):
"""
Deploy authorized_key
"""
path, thumbprint, value = pubkey
if path is None:
raise OSUtilError("Publich key path is None")
crytputil = CryptUtil(conf.get_openssl_cmd())
path = self._norm_path(path)
dir_path = os.path.dirname(pat... | https://github.com/Azure/WALinuxAgent/issues/104 | 2015/08/19 12:35:10 Created user account: azureuser
2015/08/19 12:35:10 Deploy public key:28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF
2015/08/19 12:35:10 ERROR:Failed: 28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF.pub.crt -> /home/azureuser/.ssh/authorized_keys
2015/08/19 12:35:10 ERROR:CalledProcessError. Error Code is 1
201... | CalledProcessError |
def set_selinux_context(self, path, con):
"""
Calls shell 'chcon' with 'path' and 'con' context.
Returns exit result.
"""
if self.is_selinux_system():
if not os.path.exists(path):
logger.error("Path does not exist: {0}".format(path))
return 1
return shellutil.... | def set_selinux_context(self, path, con):
"""
Calls shell 'chcon' with 'path' and 'con' context.
Returns exit result.
"""
if self.is_selinux_system():
return shellutil.run("chcon " + con + " " + path)
| https://github.com/Azure/WALinuxAgent/issues/104 | 2015/08/19 12:35:10 Created user account: azureuser
2015/08/19 12:35:10 Deploy public key:28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF
2015/08/19 12:35:10 ERROR:Failed: 28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF.pub.crt -> /home/azureuser/.ssh/authorized_keys
2015/08/19 12:35:10 ERROR:CalledProcessError. Error Code is 1
201... | CalledProcessError |
def chowner(path, owner):
if not os.path.exists(path):
logger.error("Path does not exist: {0}".format(path))
else:
owner_info = pwd.getpwnam(owner)
os.chown(path, owner_info[2], owner_info[3])
| def chowner(path, owner):
owner_info = pwd.getpwnam(owner)
os.chown(path, owner_info[2], owner_info[3])
| https://github.com/Azure/WALinuxAgent/issues/104 | 2015/08/19 12:35:10 Created user account: azureuser
2015/08/19 12:35:10 Deploy public key:28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF
2015/08/19 12:35:10 ERROR:Failed: 28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF.pub.crt -> /home/azureuser/.ssh/authorized_keys
2015/08/19 12:35:10 ERROR:CalledProcessError. Error Code is 1
201... | CalledProcessError |
def chmod(path, mode):
if not os.path.exists(path):
logger.error("Path does not exist: {0}".format(path))
else:
os.chmod(path, mode)
| def chmod(path, mode):
os.chmod(path, mode)
| https://github.com/Azure/WALinuxAgent/issues/104 | 2015/08/19 12:35:10 Created user account: azureuser
2015/08/19 12:35:10 Deploy public key:28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF
2015/08/19 12:35:10 ERROR:Failed: 28EC0E2C8F27A2A0D081742A97D517CBD1FFFFFF.pub.crt -> /home/azureuser/.ssh/authorized_keys
2015/08/19 12:35:10 ERROR:CalledProcessError. Error Code is 1
201... | CalledProcessError |
def _common_defaults(is_hyperband: bool) -> (Set[str], dict, dict):
mandatory = set()
default_options = {
"random_seed": np.random.randint(10000),
"opt_skip_init_length": 150,
"opt_skip_period": 1,
"profiler": False,
"opt_maxiter": 50,
"opt_nstarts": 2,
"... | def _common_defaults(is_hyperband: bool) -> (Set[str], dict, dict):
mandatory = set()
default_options = {
"random_seed": 31415927,
"opt_skip_init_length": 150,
"opt_skip_period": 1,
"profiler": False,
"opt_maxiter": 50,
"opt_nstarts": 2,
"opt_warmstart": ... | https://github.com/awslabs/autogluon/issues/685 | Traceback (most recent call last):
File "/Users/yixiaxia/Desktop/test/test.py", line 17, in <module>
searcher = GPFIFOSearcher(train_fn.cs)
TypeError: __init__() takes 1 positional argument but 2 were given | TypeError |
def __init__(self, configspace, **kwargs):
_gp_searcher = kwargs.get("_gp_searcher")
if _gp_searcher is None:
kwargs["configspace"] = configspace
_kwargs = check_and_merge_defaults(
kwargs, *gp_fifo_searcher_defaults(), dict_name="search_options"
)
_gp_searcher = gp_f... | def __init__(self, **kwargs):
_gp_searcher = kwargs.get("_gp_searcher")
if _gp_searcher is None:
_kwargs = check_and_merge_defaults(
kwargs, *gp_fifo_searcher_defaults(), dict_name="search_options"
)
_gp_searcher = gp_fifo_searcher_factory(**_kwargs)
super().__init__(
... | https://github.com/awslabs/autogluon/issues/685 | Traceback (most recent call last):
File "/Users/yixiaxia/Desktop/test/test.py", line 17, in <module>
searcher = GPFIFOSearcher(train_fn.cs)
TypeError: __init__() takes 1 positional argument but 2 were given | TypeError |
def fit_summary(self, verbosity=3):
"""
Output summary of information about models produced during `fit()`.
May create various generated summary plots and store them in folder: `Predictor.output_directory`.
Parameters
----------
verbosity : int, default = 3
Controls how detailed of a su... | def fit_summary(self, verbosity=3):
"""
Output summary of information about models produced during `fit()`.
May create various generated summary plots and store them in folder: `Predictor.output_directory`.
Parameters
----------
verbosity : int, default = 3
Controls how detailed of a su... | https://github.com/awslabs/autogluon/issues/675 | *** Details of Hyperparameter optimization ***
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-2-1b709fc952c0> in <module>
11 predictor = task.fit(train_data=train_data, label=label_column, output_dire... | KeyError |
def __init__(self, learner):
"""Creates TabularPredictor object.
You should not construct a TabularPredictor yourself, it is only intended to be produced during fit().
Parameters
----------
learner : `AbstractLearner` object
Object that implements the `AbstractLearner` APIs.
To access ... | def __init__(self, learner):
"""Creates TabularPredictor object.
You should not construct a TabularPredictor yourself, it is only intended to be produced during fit().
Parameters
----------
learner : `AbstractLearner` object
Object that implements the `AbstractLearner` APIs.
To access ... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def fit_summary(self, verbosity=3):
"""
Output summary of information about models produced during `fit()`.
May create various generated summary plots and store them in folder: `Predictor.output_directory`.
Parameters
----------
verbosity : int, default = 3
Controls how detailed of a su... | def fit_summary(self, verbosity=3):
"""
Output summary of information about models produced during `fit()`.
May create various generated summary plots and store them in folder: `Predictor.output_directory`.
Parameters
----------
verbosity : int, default = 3
Controls how detailed of a su... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def fit(
train_data,
label,
tuning_data=None,
time_limits=None,
output_directory=None,
presets=None,
problem_type=None,
eval_metric=None,
stopping_metric=None,
auto_stack=False,
hyperparameter_tune=False,
feature_prune=False,
holdout_frac=None,
num_bagging_folds=0... | def fit(
train_data,
label,
tuning_data=None,
time_limits=None,
output_directory=None,
presets=None,
problem_type=None,
eval_metric=None,
stopping_metric=None,
auto_stack=False,
hyperparameter_tune=False,
feature_prune=False,
holdout_frac=None,
num_bagging_folds=0... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def augment_data(
X_train,
feature_metadata: FeatureMetadata,
augmentation_data=None,
augment_method="spunge",
augment_args=None,
):
"""augment_method options: ['spunge', 'munge']"""
if augment_args is None:
augment_args = {}
if augmentation_data is not None:
X_aug = augm... | def augment_data(
X_train,
feature_types_metadata: FeatureTypesMetadata,
augmentation_data=None,
augment_method="spunge",
augment_args=None,
):
"""augment_method options: ['spunge', 'munge']"""
if augment_args is None:
augment_args = {}
if augmentation_data is not None:
X... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def spunge_augment(
X,
feature_metadata: FeatureMetadata,
num_augmented_samples=10000,
frac_perturb=0.1,
continuous_feature_noise=0.1,
**kwargs,
):
"""Generates synthetic datapoints for learning to mimic teacher model in distillation
via simplified version of MUNGE strategy (that does no... | def spunge_augment(
X,
feature_types_metadata: FeatureTypesMetadata,
num_augmented_samples=10000,
frac_perturb=0.1,
continuous_feature_noise=0.1,
**kwargs,
):
"""Generates synthetic datapoints for learning to mimic teacher model in distillation
via simplified version of MUNGE strategy (t... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def munge_augment(
X,
feature_metadata: FeatureMetadata,
num_augmented_samples=10000,
perturb_prob=0.5,
s=1.0,
**kwargs,
):
"""Uses MUNGE algorithm to generate synthetic datapoints for learning to mimic teacher model in distillation: https://www.cs.cornell.edu/~caruana/compression.kdd06.pdf
... | def munge_augment(
X,
feature_types_metadata: FeatureTypesMetadata,
num_augmented_samples=10000,
perturb_prob=0.5,
s=1.0,
**kwargs,
):
"""Uses MUNGE algorithm to generate synthetic datapoints for learning to mimic teacher model in distillation: https://www.cs.cornell.edu/~caruana/compression... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def __init__(
self,
path_context: str,
label: str,
id_columns: list,
feature_generator: PipelineFeatureGenerator,
label_count_threshold=10,
problem_type=None,
eval_metric=None,
stopping_metric=None,
is_trainer_present=False,
random_seed=0,
):
self.path, self.model_context... | def __init__(
self,
path_context: str,
label: str,
id_columns: list,
feature_generator: AbstractFeatureGenerator,
label_count_threshold=10,
problem_type=None,
eval_metric=None,
stopping_metric=None,
is_trainer_present=False,
random_seed=0,
):
self.path, self.model_context... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _fit(
self,
X: DataFrame,
X_val: DataFrame = None,
scheduler_options=None,
hyperparameter_tune=False,
feature_prune=False,
holdout_frac=0.1,
num_bagging_folds=0,
num_bagging_sets=1,
stack_ensemble_levels=0,
hyperparameters=None,
ag_args_fit=None,
excluded_model_ty... | def _fit(
self,
X: DataFrame,
X_val: DataFrame = None,
scheduler_options=None,
hyperparameter_tune=False,
feature_prune=False,
holdout_frac=0.1,
num_bagging_folds=0,
num_bagging_sets=1,
stack_ensemble_levels=0,
hyperparameters=None,
ag_args_fit=None,
excluded_model_ty... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def general_data_processing(
self, X: DataFrame, X_val: DataFrame, holdout_frac: float, num_bagging_folds: int
):
"""General data processing steps used for all models."""
X = copy.deepcopy(X)
# TODO: We should probably uncomment the below lines, NaN label should be treated as just another value in multi... | def general_data_processing(
self, X: DataFrame, X_val: DataFrame, holdout_frac: float, num_bagging_folds: int
):
"""General data processing steps used for all models."""
X = copy.deepcopy(X)
# TODO: We should probably uncomment the below lines, NaN label should be treated as just another value in multi... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def __init__(
self,
path: str,
name: str,
problem_type: str,
eval_metric: Union[str, metrics.Scorer] = None,
num_classes=None,
stopping_metric=None,
model=None,
hyperparameters=None,
features=None,
feature_metadata: FeatureMetadata = None,
debug=0,
**kwargs,
):
""... | def __init__(
self,
path: str,
name: str,
problem_type: str,
eval_metric: Union[str, metrics.Scorer] = None,
num_classes=None,
stopping_metric=None,
model=None,
hyperparameters=None,
features=None,
feature_types_metadata: FeatureTypesMetadata = None,
debug=0,
**kwargs... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _set_default_auxiliary_params(self):
# TODO: Consider adding to get_info() output
default_auxiliary_params = dict(
max_memory_usage_ratio=1.0, # Ratio of memory usage allowed by the model. Values > 1.0 have an increased risk of causing OOM errors.
# TODO: Add more params
# max_memor... | def _set_default_auxiliary_params(self):
# TODO: Consider adding to get_info() output
default_auxiliary_params = dict(
max_memory_usage_ratio=1.0, # Ratio of memory usage allowed by the model. Values > 1.0 have an increased risk of causing OOM errors.
# TODO: Add more params
# max_memor... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def preprocess(self, X):
if self.features is not None:
# TODO: In online-inference this becomes expensive, add option to remove it (only safe in controlled environment where it is already known features are present
if list(X.columns) != self.features:
return X[self.features]
else:
... | def preprocess(self, X):
if self.features is not None:
# TODO: In online-inference this becomes expensive, add option to remove it (only safe in controlled environment where it is already known features are present
if list(X.columns) != self.features:
return X[self.features]
else:
... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def preprocess(self, X):
if self.features is not None:
# TODO: In online-inference this becomes expensive, add option to remove it (only safe in controlled environment where it is already known features are present
if list(X.columns) != self.features:
return X[self.features]
else:
... | def preprocess(self, X):
X = convert_categorical_to_int(X)
return super().preprocess(X)
| https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def __init__(
self, model_base: AbstractModel, save_bagged_folds=True, random_state=0, **kwargs
):
self.model_base = model_base
self._child_type = type(self.model_base)
self.models = []
self._oof_pred_proba = None
self._oof_pred_model_repeats = None
self._n_repeats = 0 # Number of n_repeats... | def __init__(
self, model_base: AbstractModel, save_bagged_folds=True, random_state=0, **kwargs
):
self.model_base = model_base
self._child_type = type(self.model_base)
self.models = []
self._oof_pred_proba = None
self._oof_pred_model_repeats = None
self._n_repeats = 0 # Number of n_repeats... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _fit(
self,
X,
y,
k_fold=5,
k_fold_start=0,
k_fold_end=None,
n_repeats=1,
n_repeat_start=0,
time_limit=None,
**kwargs,
):
if k_fold < 1:
k_fold = 1
if k_fold_end is None:
k_fold_end = k_fold
if self._oof_pred_proba is None and (k_fold_start != 0 o... | def _fit(
self,
X,
y,
k_fold=5,
k_fold_start=0,
k_fold_end=None,
n_repeats=1,
n_repeat_start=0,
time_limit=None,
**kwargs,
):
if k_fold < 1:
k_fold = 1
if k_fold_end is None:
k_fold_end = k_fold
if self._oof_pred_proba is None and (k_fold_start != 0 o... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def convert_to_refitfull_template(self):
compressed_params = self._get_compressed_params()
model_compressed = copy.deepcopy(self._get_model_base())
model_compressed.feature_metadata = (
self.feature_metadata
) # TODO: Don't pass this here
model_compressed.params = compressed_params
mode... | def convert_to_refitfull_template(self):
compressed_params = self._get_compressed_params()
model_compressed = copy.deepcopy(self._get_model_base())
model_compressed.feature_types_metadata = (
self.feature_types_metadata
) # TODO: Don't pass this here
model_compressed.params = compressed_par... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _fit(
self,
X,
y,
k_fold=5,
k_fold_start=0,
k_fold_end=None,
n_repeats=1,
n_repeat_start=0,
compute_base_preds=True,
time_limit=None,
**kwargs,
):
start_time = time.time()
X = self.preprocess(
X=X, preprocess=False, fit=True, compute_base_preds=compute_bas... | def _fit(
self,
X,
y,
k_fold=5,
k_fold_start=0,
k_fold_end=None,
n_repeats=1,
n_repeat_start=0,
compute_base_preds=True,
time_limit=None,
**kwargs,
):
start_time = time.time()
X = self.preprocess(
X=X, preprocess=False, fit=True, compute_base_preds=compute_bas... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def hyperparameter_tune(
self, X, y, k_fold, scheduler_options=None, compute_base_preds=True, **kwargs
):
if len(self.models) != 0:
raise ValueError(
"self.models must be empty to call hyperparameter_tune, value: %s"
% self.models
)
if len(self.models) == 0:
... | def hyperparameter_tune(
self, X, y, k_fold, scheduler_options=None, compute_base_preds=True, **kwargs
):
if len(self.models) != 0:
raise ValueError(
"self.models must be empty to call hyperparameter_tune, value: %s"
% self.models
)
if len(self.models) == 0:
... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _set_default_auxiliary_params(self):
default_auxiliary_params = dict(
ignored_type_group_raw=[
R_CATEGORY,
R_OBJECT,
], # TODO: Eventually use category features
ignored_type_group_special=[S_TEXT_NGRAM, S_TEXT_SPECIAL, S_DATETIME_AS_INT],
)
for key, value... | def _set_default_auxiliary_params(self):
default_auxiliary_params = dict(
ignored_feature_types_special=["text_ngram", "text_special"],
ignored_feature_types_raw=[
"category",
"object",
], # TODO: Eventually use category features
)
for key, value in default_a... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _get_types_of_features(self, df):
"""Returns dict with keys: : 'continuous', 'skewed', 'onehot', 'embed', 'language', values = ordered list of feature-names falling into each category.
Each value is a list of feature-names corresponding to columns in original dataframe.
TODO: ensure features with zero v... | def _get_types_of_features(self, df):
"""Returns dict with keys: : 'continuous', 'skewed', 'onehot', 'embed', 'language', values = ordered list of feature-names falling into each category.
Each value is a list of feature-names corresponding to columns in original dataframe.
TODO: ensure features with zero v... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._model_type = self._get_model_type()
self._feature_generator = None
| def __init__(self, **kwargs):
super().__init__(**kwargs)
self._model_type = self._get_model_type()
| https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def preprocess(self, X):
X = super().preprocess(X)
if self._feature_generator is None:
self._feature_generator = LabelEncoderFeatureGenerator(verbosity=0)
self._feature_generator.fit(X=X)
if self._feature_generator.features_in:
X = X.copy()
X[self._feature_generator.features_... | def preprocess(self, X):
X = super().preprocess(X).fillna(0)
return X
| https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _set_default_auxiliary_params(self):
default_auxiliary_params = dict(
ignored_type_group_special=["text_ngram", "text_as_category"],
)
for key, value in default_auxiliary_params.items():
self._set_default_param_value(key, value, params=self.params_aux)
super()._set_default_auxiliary_... | def _set_default_auxiliary_params(self):
default_auxiliary_params = dict(
ignored_feature_types_special=["text_ngram", "text_as_category"],
)
for key, value in default_auxiliary_params.items():
self._set_default_param_value(key, value, params=self.params_aux)
super()._set_default_auxilia... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _fit(
self,
X_train,
y_train,
X_val=None,
y_val=None,
time_limit=None,
reporter=None,
**kwargs,
):
"""X_train (pd.DataFrame): training data features (not necessarily preprocessed yet)
X_val (pd.DataFrame): test data features (should have same column names as Xtrain)
y_tra... | def _fit(
self,
X_train,
y_train,
X_val=None,
y_val=None,
time_limit=None,
reporter=None,
**kwargs,
):
"""X_train (pd.DataFrame): training data features (not necessarily preprocessed yet)
X_val (pd.DataFrame): test data features (should have same column names as Xtrain)
y_tra... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def _get_types_of_features(
self, df, skew_threshold, embed_min_categories, use_ngram_features
):
"""Returns dict with keys: : 'continuous', 'skewed', 'onehot', 'embed', 'language', values = ordered list of feature-names falling into each category.
Each value is a list of feature-names corresponding to colu... | def _get_types_of_features(
self, df, skew_threshold, embed_min_categories, use_ngram_features
):
"""Returns dict with keys: : 'continuous', 'skewed', 'onehot', 'embed', 'language', values = ordered list of feature-names falling into each category.
Each value is a list of feature-names corresponding to colu... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def hyperparameter_tune(
self, X_train, y_train, X_val, y_val, scheduler_options, **kwargs
):
time_start = time.time()
""" Performs HPO and sets self.params to best hyperparameter values """
self.verbosity = kwargs.get("verbosity", 2)
logger.log(15, "Beginning hyperparameter tuning for Neural Networ... | def hyperparameter_tune(
self, X_train, y_train, X_val, y_val, scheduler_options, **kwargs
):
time_start = time.time()
""" Performs HPO and sets self.params to best hyperparameter values """
self.verbosity = kwargs.get("verbosity", 2)
logger.log(15, "Beginning hyperparameter tuning for Neural Networ... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def __init__(
self,
path: str,
problem_type: str,
scheduler_options=None,
eval_metric=None,
stopping_metric=None,
num_classes=None,
low_memory=False,
feature_metadata=None,
kfolds=0,
n_repeats=1,
stack_ensemble_levels=0,
time_limit=None,
save_data=False,
save_... | def __init__(
self,
path: str,
problem_type: str,
scheduler_options=None,
eval_metric=None,
stopping_metric=None,
num_classes=None,
low_memory=False,
feature_types_metadata=None,
kfolds=0,
n_repeats=1,
stack_ensemble_levels=0,
time_limit=None,
save_data=False,
... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def train_single(
self,
X_train,
y_train,
X_val,
y_val,
model,
kfolds=None,
k_fold_start=0,
k_fold_end=None,
n_repeats=None,
n_repeat_start=0,
level=0,
time_limit=None,
):
if kfolds is None:
kfolds = self.kfolds
if n_repeats is None:
n_repeats ... | def train_single(
self,
X_train,
y_train,
X_val,
y_val,
model,
kfolds=None,
k_fold_start=0,
k_fold_end=None,
n_repeats=None,
n_repeat_start=0,
level=0,
time_limit=None,
):
if kfolds is None:
kfolds = self.kfolds
if n_repeats is None:
n_repeats ... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def train_single_full(
self,
X_train,
y_train,
X_val,
y_val,
model: AbstractModel,
feature_prune=False,
hyperparameter_tune=True,
stack_name="core",
kfolds=None,
k_fold_start=0,
k_fold_end=None,
n_repeats=None,
n_repeat_start=0,
level=0,
time_limit=None,
)... | def train_single_full(
self,
X_train,
y_train,
X_val,
y_val,
model: AbstractModel,
feature_prune=False,
hyperparameter_tune=True,
stack_name="core",
kfolds=None,
k_fold_start=0,
k_fold_end=None,
n_repeats=None,
n_repeat_start=0,
level=0,
time_limit=None,
)... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
def distill(
self,
X_train=None,
y_train=None,
X_val=None,
y_val=None,
time_limits=None,
hyperparameters=None,
holdout_frac=None,
verbosity=None,
models_name_suffix=None,
teacher_preds="soft",
augmentation_data=None,
augment_method="spunge",
augment_args={"size_fa... | def distill(
self,
X_train=None,
y_train=None,
X_val=None,
y_val=None,
time_limits=None,
hyperparameters=None,
holdout_frac=None,
verbosity=None,
models_name_suffix=None,
teacher_preds="soft",
augmentation_data=None,
augment_method="spunge",
augment_args={"size_fa... | https://github.com/awslabs/autogluon/issues/601 | File delimiter for ../input/house-prices-advanced-regression-techniques/test.csv inferred as ',' (comma). If this is incorrect, please manually load the data as a pandas DataFrame.
Loaded data from: ../input/house-prices-advanced-regression-techniques/test.csv | Columns = 80 / 80 | Rows = 1459 -> 1459
-----------------... | ValueError |
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