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train | freshroastsr700.set_state_transition_func | THIS FUNCTION MUST BE CALLED BEFORE CALLING
freshroastsr700.auto_connect().
Set, or re-set, the state transition function callback.
The supplied function will be called from a separate thread within
freshroastsr700, triggered by a separate, internal child process.
This function ... | freshroastsr700/__init__.py | def set_state_transition_func(self, func):
"""THIS FUNCTION MUST BE CALLED BEFORE CALLING
freshroastsr700.auto_connect().
Set, or re-set, the state transition function callback.
The supplied function will be called from a separate thread within
freshroastsr700, triggered by a se... | def set_state_transition_func(self, func):
"""THIS FUNCTION MUST BE CALLED BEFORE CALLING
freshroastsr700.auto_connect().
Set, or re-set, the state transition function callback.
The supplied function will be called from a separate thread within
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train | freshroastsr700.update_data_run | This is the thread that listens to an event from
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"""This is the thread that listens to an event from
the comm process to execute the update_data_func callback
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# with the daemon=Turue setting, this thread should
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train | freshroastsr700.state_transition_run | This is the thread that listens to an event from
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# with the daemon=Turue setting, this thread should
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train | freshroastsr700._connect | Do not call this directly - call auto_connect() or connect(),
which will call _connect() for you.
Connects to the roaster and creates communication thread.
Raises a RoasterLokkupError exception if the hardware is not found. | freshroastsr700/__init__.py | def _connect(self):
"""Do not call this directly - call auto_connect() or connect(),
which will call _connect() for you.
Connects to the roaster and creates communication thread.
Raises a RoasterLokkupError exception if the hardware is not found.
"""
# the following call... | def _connect(self):
"""Do not call this directly - call auto_connect() or connect(),
which will call _connect() for you.
Connects to the roaster and creates communication thread.
Raises a RoasterLokkupError exception if the hardware is not found.
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train | freshroastsr700._initialize | Sends the initialization packet to the roaster. | freshroastsr700/__init__.py | def _initialize(self):
"""Sends the initialization packet to the roaster."""
self._header.value = b'\xAA\x55'
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self._ser.write(s)
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train | freshroastsr700.connect | Attempt to connect to hardware immediately. Will not retry.
Check freshroastsr700.connected or freshroastsr700.connect_state
to verify result.
Raises:
freshroastsr700.exeptions.RoasterLookupError
No hardware connected to the computer. | freshroastsr700/__init__.py | def connect(self):
"""Attempt to connect to hardware immediately. Will not retry.
Check freshroastsr700.connected or freshroastsr700.connect_state
to verify result.
Raises:
freshroastsr700.exeptions.RoasterLookupError
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... | def connect(self):
"""Attempt to connect to hardware immediately. Will not retry.
Check freshroastsr700.connected or freshroastsr700.connect_state
to verify result.
Raises:
freshroastsr700.exeptions.RoasterLookupError
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train | freshroastsr700._start_connect | Starts the connection process, as called (internally)
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train | freshroastsr700._auto_connect | Attempts to connect to the roaster every quarter of a second. | freshroastsr700/__init__.py | def _auto_connect(self):
"""Attempts to connect to the roaster every quarter of a second."""
while not self._teardown.value:
try:
self._connect()
return True
except exceptions.RoasterLookupError:
time.sleep(.25)
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train | freshroastsr700._comm | Do not call this directly - call auto_connect(), which will spawn
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This is the main communications loop to the roaster.
whenever a valid packet is received from the device, if an
update_data_event is available, it will be signalled.
Args:
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kp=0.06, ki=0.0075, kd=0.01,
heater_segments=8, ext_sw_heater_drive=False,
update_data_event=None):
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train | freshroastsr700._timer | Timer loop used to keep track of the time while roasting or
cooling. If the time remaining reaches zero, the roaster will call the
supplied state transistion function or the roaster will be set to
the idle state. | freshroastsr700/__init__.py | def _timer(self, state_transition_event=None):
"""Timer loop used to keep track of the time while roasting or
cooling. If the time remaining reaches zero, the roaster will call the
supplied state transistion function or the roaster will be set to
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while not self... | def _timer(self, state_transition_event=None):
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Returns:
'idle' if idle,
'sleeping' if sleeping,
'cooling' if cooling,
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"""Returns a string based upon the current state of the roaster. Will
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Returns:
'idle' if idle,
'sleeping' if sleeping,
'cooling' if cooling,
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train | freshroastsr700._generate_packet | Generates a packet based upon the current class variables. Note that
current temperature is not sent, as the original application sent zeros
to the roaster for the current temperature. | freshroastsr700/__init__.py | def _generate_packet(self):
"""Generates a packet based upon the current class variables. Note that
current temperature is not sent, as the original application sent zeros
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roaster_time = utils.seconds_to_float(self._time_remaining.value)
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roaster_time = utils.seconds_to_float(self._time_remaining.value)
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train | heat_controller.heat_level | Set the desired output level. Must be between 0 and
number_of_segments inclusive. | freshroastsr700/__init__.py | def heat_level(self, value):
"""Set the desired output level. Must be between 0 and
number_of_segments inclusive."""
if value < 0:
self._heat_level = 0
elif round(value) > self._num_segments:
self._heat_level = self._num_segments
else:
self._he... | def heat_level(self, value):
"""Set the desired output level. Must be between 0 and
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train | heat_controller.generate_bangbang_output | Generates the latest on or off pulse in
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according to the desired heat_level setting. Successive calls
to this function will return the next value in the
on/off array series. Call this at control loop rate to
obtain th... | freshroastsr700/__init__.py | def generate_bangbang_output(self):
"""Generates the latest on or off pulse in
the string of on (True) or off (False) pulses
according to the desired heat_level setting. Successive calls
to this function will return the next value in the
on/off array series. Call th... | def generate_bangbang_output(self):
"""Generates the latest on or off pulse in
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train | Roaster.update_data | This is a method that will be called every time a packet is opened
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"""This is a method that will be called every time a packet is opened
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train | Roaster.next_state | This is a method that will be called when the time remaining ends.
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train | DNSBLResult.process_results | Process results by providers | pydnsbl/checker.py | def process_results(self):
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train | DNSBLChecker.dnsbl_request | Make lookup to dnsbl provider
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Returns:
* DNSBLResponse object
Raises:
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"""
Make lookup to dnsbl provider
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* addr (string) - ip address to check
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Returns:
* DNSBLResponse object
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"""
Make lookup to dnsbl provider
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* addr (string) - ip address to check
* provider (string) - dnsbl provider
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* addr - ip address to check
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* DNSBLResult object | pydnsbl/checker.py | async def _check_ip(self, addr):
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train | DNSBLChecker.check_ips | sync check multiple ips | pydnsbl/checker.py | def check_ips(self, addrs):
"""
sync check multiple ips
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tasks = []
for addr in addrs:
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sync check multiple ips
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train | frange | A generator that will generate a range of floats. | freshroastsr700/utils.py | def frange(start, stop, step, precision):
"""A generator that will generate a range of floats."""
value = start
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value += step | def frange(start, stop, step, precision):
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train | find_device | Finds a connected device with the given VID:PID. Returns the serial
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train | PID.update | Calculate PID output value for given reference input and feedback. | freshroastsr700/pid.py | def update(self, currentTemp, targetTemp):
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train | PID.setPoint | Initilize the setpoint of PID. | freshroastsr700/pid.py | def setPoint(self, targetTemp):
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self.targetTemp = targetTemp
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train | Roaster.next_state | This is a method that will be called when the time remaining ends.
The current state can be: roasting, cooling, idle, sleeping, connecting,
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"""This is a method that will be called when the time remaining ends.
The current state can be: roasting, cooling, idle, sleeping, connecting,
or unkown."""
if(self.roaster.get_roaster_state() == 'roasting'):
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... | def next_state(self):
"""This is a method that will be called when the time remaining ends.
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or unkown."""
if(self.roaster.get_roaster_state() == 'roasting'):
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train | Random.load_nouns | Load dict from file for random words.
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"""
Load dict from file for random words.
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train | Random.load_dmails | Load list from file for random mails
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"""
Load list from file for random mails
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Load list from file for random mails
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train | Random.load_nicknames | Load dict from file for random nicknames.
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Load dict from file for random nicknames.
:param str file: filename
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train | RandomWords.random_words | Returns list of random words.
:param str letter: letter
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:rtype: list
:returns: list of random words
:raises: ValueError | random_words/random_words.py | def random_words(self, letter=None, count=1):
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:param int count: how much words
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:returns: list of random words
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train | RandomNicknames.random_nicks | Return list of random nicks.
:param str letter: letter
:param str gender: ``'f'`` for female, ``'m'`` for male and None for both
:param int count: how much nicks
:rtype: list
:returns: list of random nicks
:raises: ValueError | random_words/random_words.py | def random_nicks(self, letter=None, gender='u', count=1):
"""
Return list of random nicks.
:param str letter: letter
:param str gender: ``'f'`` for female, ``'m'`` for male and None for both
:param int count: how much nicks
:rtype: list
:returns: list of random n... | def random_nicks(self, letter=None, gender='u', count=1):
"""
Return list of random nicks.
:param str letter: letter
:param str gender: ``'f'`` for female, ``'m'`` for male and None for both
:param int count: how much nicks
:rtype: list
:returns: list of random n... | [
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train | RandomEmails.randomMails | Return random e-mails.
:rtype: list
:returns: list of random e-mails | random_words/random_words.py | def randomMails(self, count=1):
"""
Return random e-mails.
:rtype: list
:returns: list of random e-mails
"""
self.check_count(count)
random_nicks = self.rn.random_nicks(count=count)
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return [
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"""
Return random e-mails.
:rtype: list
:returns: list of random e-mails
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self.check_count(count)
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train | LoremIpsum.get_sentences_list | Return sentences in list.
:param int sentences: how many sentences
:returns: list of strings with sentence
:rtype: list | random_words/lorem_ipsum.py | def get_sentences_list(self, sentences=1):
"""
Return sentences in list.
:param int sentences: how many sentences
:returns: list of strings with sentence
:rtype: list
"""
if sentences < 1:
raise ValueError('Param "sentences" must be greater than 0.')
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Return sentences in list.
:param int sentences: how many sentences
:returns: list of strings with sentence
:rtype: list
"""
if sentences < 1:
raise ValueError('Param "sentences" must be greater than 0.')
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train | LoremIpsum.make_sentence | Return a sentence from list of words.
:param list list_words: list of words
:returns: sentence
:rtype: str | random_words/lorem_ipsum.py | def make_sentence(list_words):
"""
Return a sentence from list of words.
:param list list_words: list of words
:returns: sentence
:rtype: str
"""
lw_len = len(list_words)
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:param list list_words: list of words
:returns: sentence
:rtype: str
"""
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train | _discover_cover_image | Find the cover image path in the OPF file.
Returns a tuple: (image content in base64, file extension) | epub_meta/collector.py | def _discover_cover_image(zf, opf_xmldoc, opf_filepath):
'''
Find the cover image path in the OPF file.
Returns a tuple: (image content in base64, file extension)
'''
content = None
filepath = None
extension = None
# Strategies to discover the cover-image path:
# e.g.: <meta name="... | def _discover_cover_image(zf, opf_xmldoc, opf_filepath):
'''
Find the cover image path in the OPF file.
Returns a tuple: (image content in base64, file extension)
'''
content = None
filepath = None
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train | _discover_toc | Returns a list of objects: {title: str, src: str, level: int, index: int} | epub_meta/collector.py | def _discover_toc(zf, opf_xmldoc, opf_filepath):
'''
Returns a list of objects: {title: str, src: str, level: int, index: int}
'''
toc = None
# ePub 3.x
tag = find_tag(opf_xmldoc, 'item', 'properties', 'nav')
if tag and 'href' in tag.attributes.keys():
filepath = unquote(tag.attribu... | def _discover_toc(zf, opf_xmldoc, opf_filepath):
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'''
toc = None
# ePub 3.x
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train | get_epub_metadata | References: http://idpf.org/epub/201 and http://idpf.org/epub/301
1. Parse META-INF/container.xml file and find the .OPF file path.
2. In the .OPF file, find the metadata | epub_meta/collector.py | def get_epub_metadata(filepath, read_cover_image=True, read_toc=True):
'''
References: http://idpf.org/epub/201 and http://idpf.org/epub/301
1. Parse META-INF/container.xml file and find the .OPF file path.
2. In the .OPF file, find the metadata
'''
if not zipfile.is_zipfile(filepath):
r... | def get_epub_metadata(filepath, read_cover_image=True, read_toc=True):
'''
References: http://idpf.org/epub/201 and http://idpf.org/epub/301
1. Parse META-INF/container.xml file and find the .OPF file path.
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train | get_epub_opf_xml | Returns the file.OPF contents of the ePub file | epub_meta/collector.py | def get_epub_opf_xml(filepath):
'''
Returns the file.OPF contents of the ePub file
'''
if not zipfile.is_zipfile(filepath):
raise EPubException('Unknown file')
# print('Reading ePub file: {}'.format(filepath))
zf = zipfile.ZipFile(filepath, 'r', compression=zipfile.ZIP_DEFLATED, allowZi... | def get_epub_opf_xml(filepath):
'''
Returns the file.OPF contents of the ePub file
'''
if not zipfile.is_zipfile(filepath):
raise EPubException('Unknown file')
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train | Petrovich.firstname | u"""
Склонение имени
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род | petrovich/main.py | def firstname(self, value, case, gender=None):
u"""
Склонение имени
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Firstname cannot ... | def firstname(self, value, case, gender=None):
u"""
Склонение имени
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Firstname cannot ... | [
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train | Petrovich.lastname | u"""
Склонение фамилии
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род | petrovich/main.py | def lastname(self, value, case, gender=None):
u"""
Склонение фамилии
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:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Lastname cannot ... | def lastname(self, value, case, gender=None):
u"""
Склонение фамилии
:param value: Значение для склонения
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"""
if not value:
raise ValueError('Lastname cannot ... | [
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train | Petrovich.middlename | u"""
Склонение отчества
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род | petrovich/main.py | def middlename(self, value, case, gender=None):
u"""
Склонение отчества
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
:param gender: Грамматический род
"""
if not value:
raise ValueError('Middlename ca... | def middlename(self, value, case, gender=None):
u"""
Склонение отчества
:param value: Значение для склонения
:param case: Падеж для склонения (значение из класса Case)
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if not value:
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train | Petrovich.__split_name | u"""
Разделяет имя на сегменты по разделителям в self.separators
:param name: имя
:return: разделённое имя вместе с разделителями | petrovich/main.py | def __split_name(self, name):
u"""
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:param name: имя
:return: разделённое имя вместе с разделителями
"""
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yield name
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Разделяет имя на сегменты по разделителям в self.separators
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train | expand | Expand a reference expression to individual spans.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> expand('a1')
'a1'
>>> expand('a1[3:5]')
'a1[3:5]'
>>> expand('a1[3:5+6:7]')
'a1[3:5]+a1[6:7]'
>>> expand('a1 a2 a3'... | xigt/ref.py | def expand(expression):
"""
Expand a reference expression to individual spans.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> expand('a1')
'a1'
>>> expand('a1[3:5]')
'a1[3:5]'
>>> expand('a1[3:5+6:7]')
'a1[3:5]... | def expand(expression):
"""
Expand a reference expression to individual spans.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> expand('a1')
'a1'
>>> expand('a1[3:5]')
'a1[3:5]'
>>> expand('a1[3:5+6:7]')
'a1[3:5]... | [
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train | compress | Compress a reference expression to group spans on the same id.
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>>> compress('a1')
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>>> comp... | xigt/ref.py | def compress(expression):
"""
Compress a reference expression to group spans on the same id.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> compress('a1')
'a1'
>>> compress('a1[3:5]')
'a1[3:5]'
>>> compress('a1[3:5... | def compress(expression):
"""
Compress a reference expression to group spans on the same id.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> compress('a1')
'a1'
>>> compress('a1[3:5]')
'a1[3:5]'
>>> compress('a1[3:5... | [
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train | selections | Split the expression into individual selection expressions. The
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Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
>>> selections('a1')
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>>> selections('a1[3:5]')... | xigt/ref.py | def selections(expression, keep_delimiters=True):
"""
Split the expression into individual selection expressions. The
delimiters will be kept as separate items if keep_delimters=True.
Also works on space-separated ID lists, although a sequence of space
characters will be considered a delimiter.
... | def selections(expression, keep_delimiters=True):
"""
Split the expression into individual selection expressions. The
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Also works on space-separated ID lists, although a sequence of space
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train | resolve | Return the string that is the resolution of the alignment expression
`expression`, which selects ids from `container`. | xigt/ref.py | def resolve(container, expression):
"""
Return the string that is the resolution of the alignment expression
`expression`, which selects ids from `container`.
"""
itemgetter = getattr(container, 'get_item', container.get)
tokens = []
expression = expression.strip()
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"""
Return the string that is the resolution of the alignment expression
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train | referents | Return a list of ids denoting objects (tiers or items) in `igt` that
are referred by the object denoted by `id` using a reference
attribute in `refattrs`. If `refattrs` is None, then consider all
known reference attributes for the type of object denoted by _id_.
In other words, if 'b1' refers to 'a1' us... | xigt/ref.py | def referents(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
are referred by the object denoted by `id` using a reference
attribute in `refattrs`. If `refattrs` is None, then consider all
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"""
Return a list of ids denoting objects (tiers or items) in `igt` that
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train | referrers | Return a list of ids denoting objects (tiers or items) in `igt` that
refer to the given `id`. In other words, if 'b1' refers to 'a1',
then `referrers(igt, 'a1')` returns `['b1']`. | xigt/ref.py | def referrers(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
refer to the given `id`. In other words, if 'b1' refers to 'a1',
then `referrers(igt, 'a1')` returns `['b1']`.
"""
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result = {}
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result = {... | def referrers(igt, id, refattrs=None):
"""
Return a list of ids denoting objects (tiers or items) in `igt` that
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result = {}
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train | ancestors | >>> for anc in query.ancestors(igt.get_item('g1'), refattrs=(ALIGNMENT, SEGMENTATION)):
... print(anc)
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"""
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... print(anc)
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"""
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... print(anc)
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train | descendants | >>> for des in query.descendants(igt.get_item('p1'), refattrs=(SEGMENTATION, ALIGNMENT)):
... print(des)
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"""
>>> for des in query.descendants(igt.get_item('p1'), refattrs=(SEGMENTATION, ALIGNMENT)):
... print(des)
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"""
>>> for des in query.descendants(igt.get_item('p1'), refattrs=(SEGMENTATION, ALIGNMENT)):
... print(des)
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train | default_decode | Decode a XigtCorpus element. | xigt/codecs/xigtxml.py | def default_decode(events, mode='full'):
"""Decode a XigtCorpus element."""
event, elem = next(events)
root = elem # store root for later instantiation
while (event, elem.tag) not in [('start', 'igt'), ('end', 'xigt-corpus')]:
event, elem = next(events)
igts = None
if event == 'start' a... | def default_decode(events, mode='full'):
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train | _get_file_content | Return a tuple, each value being a line of the source file.
Remove empty lines and comments (lines starting with a '#'). | siggen/siglists_utils.py | def _get_file_content(source):
"""Return a tuple, each value being a line of the source file.
Remove empty lines and comments (lines starting with a '#').
"""
filepath = os.path.join('siglists', source + '.txt')
lines = []
with resource_stream(__name__, filepath) as f:
for i, line in ... | def _get_file_content(source):
"""Return a tuple, each value being a line of the source file.
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filepath = os.path.join('siglists', source + '.txt')
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train | _get_rar_version | Check quickly whether file is rar archive. | thomas/processors/rar.py | def _get_rar_version(xfile):
"""Check quickly whether file is rar archive.
"""
buf = xfile.read(len(RAR5_ID))
if buf.startswith(RAR_ID):
return 3
elif buf.startswith(RAR5_ID):
xfile.read(1)
return 5
return 0 | def _get_rar_version(xfile):
"""Check quickly whether file is rar archive.
"""
buf = xfile.read(len(RAR5_ID))
if buf.startswith(RAR_ID):
return 3
elif buf.startswith(RAR5_ID):
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return 5
return 0 | [
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train | VirtualDirectReader._open_next | Proceed to next volume. | thomas/processors/rar.py | def _open_next(self):
"""Proceed to next volume."""
# is the file split over archives?
if (self._cur.flags & rarfile.RAR_FILE_SPLIT_AFTER) == 0:
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# is the file split over archives?
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train | VirtualDirectReader._check | Do not check final CRC. | thomas/processors/rar.py | def _check(self): # TODO: fix?
"""Do not check final CRC."""
if self._returncode:
rarfile.check_returncode(self, '')
if self._remain != 0:
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train | _normalize | rescales a numpy array, so that min is 0 and max is 255 | pyparadigm/extras.py | def _normalize(mat: np.ndarray):
"""rescales a numpy array, so that min is 0 and max is 255"""
return ((mat - mat.min()) * (255 / mat.max())).astype(np.uint8) | def _normalize(mat: np.ndarray):
"""rescales a numpy array, so that min is 0 and max is 255"""
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train | to_24bit_gray | returns a matrix that contains RGB channels, and colors scaled
from 0 to 255 | pyparadigm/extras.py | def to_24bit_gray(mat: np.ndarray):
"""returns a matrix that contains RGB channels, and colors scaled
from 0 to 255"""
return np.repeat(np.expand_dims(_normalize(mat), axis=2), 3, axis=2) | def to_24bit_gray(mat: np.ndarray):
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train | apply_color_map | returns an RGB matrix scaled by a matplotlib color map | pyparadigm/extras.py | def apply_color_map(name: str, mat: np.ndarray = None):
"""returns an RGB matrix scaled by a matplotlib color map"""
def apply_map(mat):
return (cm.get_cmap(name)(_normalize(mat))[:, :, :3] * 255).astype(np.uint8)
return apply_map if mat is None else apply_map(mat) | def apply_color_map(name: str, mat: np.ndarray = None):
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def apply_map(mat):
return (cm.get_cmap(name)(_normalize(mat))[:, :, :3] * 255).astype(np.uint8)
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train | random_id | Creates a random id with the given length and charset.
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train | merge_dict | Merge any number of dictionaries | pagarme/common/util.py | def merge_dict(data, *args):
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train | make_url | Joins individual URL strings together, and returns a single string. | pagarme/common/util.py | def make_url(url, *paths):
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"""
for path in paths:
url = re.sub(r'/?$', re.sub(r'^/?', '/', path), url)
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train | Email.aggregate_result | aggregate result | monitoring_agent/outputs/email.py | def aggregate_result(self, return_code, output, service_description='', specific_servers=None):
'''
aggregate result
'''
if specific_servers == None:
specific_servers = self.servers
else:
specific_servers = set(self.servers).intersection(specific_servers)
... | def aggregate_result(self, return_code, output, service_description='', specific_servers=None):
'''
aggregate result
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if specific_servers == None:
specific_servers = self.servers
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specific_servers = set(self.servers).intersection(specific_servers)
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train | Email.send_results | send results | monitoring_agent/outputs/email.py | def send_results(self):
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send results
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train | main | MAIN | example.py | def main():
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train | RequestSchema.make_request | Parse the outgoing schema | example.py | def make_request(self, data):
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train | Handler.key_press | returns a handler that can be used with EventListener.listen()
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train | Handler.unicode_char | returns a handler that listens for unicode characters | pyparadigm/eventlistener.py | def unicode_char(ignored_chars=None):
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train | EventListener.wait_for_n_keypresses | Waits till one key was pressed n times.
:param key: the key to be pressed as defined by pygame. E.g.
pygame.K_LEFT for the left arrow key
:type key: int
:param n: number of repetitions till the function returns
:type n: int | pyparadigm/eventlistener.py | def wait_for_n_keypresses(self, key, n=1):
"""Waits till one key was pressed n times.
:param key: the key to be pressed as defined by pygame. E.g.
pygame.K_LEFT for the left arrow key
:type key: int
:param n: number of repetitions till the function returns
:type n: i... | def wait_for_n_keypresses(self, key, n=1):
"""Waits till one key was pressed n times.
:param key: the key to be pressed as defined by pygame. E.g.
pygame.K_LEFT for the left arrow key
:type key: int
:param n: number of repetitions till the function returns
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:param modifiers_to_check: iterable of modifiers for which the function
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:type modifiers: Iterable[int] | pyparadigm/eventlistener.py | def wait_for_keys_modified(self, *keys, modifiers_to_check=_mod_keys,
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train | EventListener.wait_for_unicode_char | Returns a str that contains the single character that was pressed.
This already respects modifier keys and keyboard layouts. If timeout is
not none and no key is pressed within the specified timeout, None is
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"""Returns a str that contains the single character that was pressed.
This already respects modifier keys and keyboard layouts. If timeout is
not none and no key is pressed within the specified timeout, None is
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train | RarStreamer._find_all_first_files | Does not support the full range of ways rar can split
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"""
for listed_item in item.list():
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train | find_datafile | find all matching data files in search_path
search_path: path of directories to load from
codecs: allow to override from list of installed
returns array of tuples (codec_object, filename) | facsimile/codec.py | def find_datafile(name, search_path, codecs=get_codecs()):
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find all matching data files in search_path
search_path: path of directories to load from
codecs: allow to override from list of installed
returns array of tuples (codec_object, filename)
"""
return munge.find_datafile(name, sear... | def find_datafile(name, search_path, codecs=get_codecs()):
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find all matching data files in search_path
search_path: path of directories to load from
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returns array of tuples (codec_object, filename)
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train | load_datafile | find datafile and load them from codec
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kwargs:
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find datafile and load them from codec
TODO only does the first one
kwargs:
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return munge.load_datafile(name, search_path, codecs, **kwargs) | def load_datafile(name, search_path, codecs=get_codecs(), **kwargs):
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find datafile and load them from codec
TODO only does the first one
kwargs:
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train | BirdsiteSkeleton.cred_init | Initialize what requires credentials/secret files.
:param secrets_dir: dir to expect credentials in and store logs/history in.
:param log: logger to use for log output.
:param bot_name: name of this bot,
used for various kinds of labelling.
:returns: none. | botskeleton/outputs/output_birdsite.py | def cred_init(
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*,
secrets_dir: str,
log: Logger,
bot_name: str,
) -> None:
"""
Initialize what requires credentials/secret files.
:param secrets_dir: dir to expect credentials in and store logs/history in.
:param log:... | def cred_init(
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*,
secrets_dir: str,
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bot_name: str,
) -> None:
"""
Initialize what requires credentials/secret files.
:param secrets_dir: dir to expect credentials in and store logs/history in.
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train | BirdsiteSkeleton.send | Send birdsite message.
:param text: text to send in post.
:returns: list of output records,
each corresponding to either a single post,
or an error. | botskeleton/outputs/output_birdsite.py | def send(
self,
*,
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) -> List[OutputRecord]:
"""
Send birdsite message.
:param text: text to send in post.
:returns: list of output records,
each corresponding to either a single post,
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self,
*,
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"""
Send birdsite message.
:param text: text to send in post.
:returns: list of output records,
each corresponding to either a single post,
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"""
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and captions if present.
:param text: tweet text.
:param files: list of files to upload with post.
:param captions: list of captions to include as alt-text with files.
:returns: list of output records,
each... | botskeleton/outputs/output_birdsite.py | def send_with_media(
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*,
text: str,
files: List[str],
captions: List[str]=[]
) -> List[OutputRecord]:
"""
Upload media to birdsite,
and send status and media,
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:param text: tweet text.
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*,
text: str,
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"""
Upload media to birdsite,
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train | BirdsiteSkeleton.perform_batch_reply | Performs batch reply on target account.
Looks up the recent messages of the target user,
applies the callback,
and replies with
what the callback generates.
:param callback: a callback taking a message id,
message contents,
and optional extra keys,
... | botskeleton/outputs/output_birdsite.py | def perform_batch_reply(
self,
*,
callback: Callable[..., str],
lookback_limit: int,
target_handle: str,
) -> List[OutputRecord]:
"""
Performs batch reply on target account.
Looks up the recent messages of the target user,
a... | def perform_batch_reply(
self,
*,
callback: Callable[..., str],
lookback_limit: int,
target_handle: str,
) -> List[OutputRecord]:
"""
Performs batch reply on target account.
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train | BirdsiteSkeleton.send_dm_sos | Send DM to owner if something happens.
:param message: message to send to owner.
:returns: None. | botskeleton/outputs/output_birdsite.py | def send_dm_sos(self, message: str) -> None:
"""
Send DM to owner if something happens.
:param message: message to send to owner.
:returns: None.
"""
if self.owner_handle:
try:
# twitter changed the DM API and tweepy (as of 2019-03-08)
... | def send_dm_sos(self, message: str) -> None:
"""
Send DM to owner if something happens.
:param message: message to send to owner.
:returns: None.
"""
if self.owner_handle:
try:
# twitter changed the DM API and tweepy (as of 2019-03-08)
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train | BirdsiteSkeleton.handle_error | Handle error while trying to do something.
:param message: message to send in DM regarding error.
:param e: tweepy error object.
:returns: OutputRecord containing an error. | botskeleton/outputs/output_birdsite.py | def handle_error(
self,
*,
message: str,
error: tweepy.TweepError,
) -> OutputRecord:
"""
Handle error while trying to do something.
:param message: message to send in DM regarding error.
:param e: tweepy error object.
:returns... | def handle_error(
self,
*,
message: str,
error: tweepy.TweepError,
) -> OutputRecord:
"""
Handle error while trying to do something.
:param message: message to send in DM regarding error.
:param e: tweepy error object.
:returns... | [
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train | BirdsiteSkeleton._handle_caption_upload | Handle uploading all captions.
:param media_ids: media ids of uploads to attach captions to.
:param captions: captions to be attached to those media ids.
:returns: None. | botskeleton/outputs/output_birdsite.py | def _handle_caption_upload(
self,
*,
media_ids: List[str],
captions: Optional[List[str]],
) -> None:
"""
Handle uploading all captions.
:param media_ids: media ids of uploads to attach captions to.
:param captions: captions to be attac... | def _handle_caption_upload(
self,
*,
media_ids: List[str],
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Handle uploading all captions.
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train | BirdsiteSkeleton._send_direct_message_new | :reference: https://developer.twitter.com/en/docs/direct-messages/sending-and-receiving/api-reference/new-event.html | botskeleton/outputs/output_birdsite.py | def _send_direct_message_new(self, messageobject: Dict[str, Dict]) -> Any:
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newdm_path = "/direct_me... | def _send_direct_message_new(self, messageobject: Dict[str, Dict]) -> Any:
"""
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train | main | Takes crash data via stdin and generates a Socorro signature | siggen/cmd_signify.py | def main():
"""Takes crash data via stdin and generates a Socorro signature"""
parser = argparse.ArgumentParser(description=DESCRIPTION)
parser.add_argument(
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args = parser.parse_args()
generator = SignatureGenera... | def main():
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parser = argparse.ArgumentParser(description=DESCRIPTION)
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train | Base.add_config | Update internel configuration dict with config and recheck | facsimile/base.py | def add_config(self, config):
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train | Base.check_config | called after config was modified to sanity check
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raises on error
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train | Base.check_definition | called after Defintion was loaded to sanity check
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raises on error
"""
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train | Base.find_datafile | find all matching data files in search_path
returns array of tuples (codec_object, filename) | facsimile/base.py | def find_datafile(self, name, search_path=None):
"""
find all matching data files in search_path
returns array of tuples (codec_object, filename)
"""
if not search_path:
search_path = self.define_dir
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search_path = self.define_dir
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train | Base.load_datafile | find datafile and load them from codec | facsimile/base.py | def load_datafile(self, name, search_path=None, **kwargs):
"""
find datafile and load them from codec
"""
if not search_path:
search_path = self.define_dir
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train | Base.run | run all configured stages | facsimile/base.py | def run(self):
""" run all configured stages """
self.sanity_check()
# TODO - check for devel
# if not self.version:
# raise Exception("no version")
# XXX check attr exist
if not self.release_environment:
raise Exception("no instance name")
time_start = t... | def run(self):
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# TODO - check for devel
# if not self.version:
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# XXX check attr exist
if not self.release_environment:
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train | timestamp | Return POSIX timestamp as float.
>>> timestamp(datetime.datetime.now()) > 1494638812
True
>>> timestamp(datetime.datetime.now()) % 1 > 0
True | backports/datetime_timestamp/__init__.py | def timestamp(dt):
"""
Return POSIX timestamp as float.
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True
>>> timestamp(datetime.datetime.now()) % 1 > 0
True
"""
if dt.tzinfo is None:
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Return POSIX timestamp as float.
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>>> timestamp(datetime.datetime.now()) % 1 > 0
True
"""
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train | rate_limited | Rate limit a function. | botskeleton/botskeleton.py | def rate_limited(max_per_hour: int, *args: Any) -> Callable[..., Any]:
"""Rate limit a function."""
return util.rate_limited(max_per_hour, *args) | def rate_limited(max_per_hour: int, *args: Any) -> Callable[..., Any]:
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train | _repair | Repair a corrupted IterationRecord with a specific known issue. | botskeleton/botskeleton.py | def _repair(record: Dict[str, Any]) -> Dict[str, Any]:
"""Repair a corrupted IterationRecord with a specific known issue."""
output_records = record.get("output_records")
if record.get("_type", None) == "IterationRecord" and output_records is not None:
birdsite_record = output_records.get("birdsite"... | def _repair(record: Dict[str, Any]) -> Dict[str, Any]:
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train | IterationRecord.from_dict | Get object back from dict. | botskeleton/botskeleton.py | def from_dict(cls, obj_dict: Dict[str, Any]) -> "IterationRecord":
"""Get object back from dict."""
obj = cls()
for key, item in obj_dict.items():
obj.__dict__[key] = item
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obj = cls()
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obj.__dict__[key] = item
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train | BotSkeleton.send | Post text-only to all outputs.
:param args: positional arguments.
expected: text to send as message in post.
keyword text argument is preferred over this.
:param text: text to send as message in post.
:returns: new record of iteration | botskeleton/botskeleton.py | def send(
self,
*args: str,
text: str=None,
) -> IterationRecord:
"""
Post text-only to all outputs.
:param args: positional arguments.
expected: text to send as message in post.
keyword text argument is preferred over this.
... | def send(
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Post text-only to all outputs.
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expected: text to send as message in post.
keyword text argument is preferred over this.
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train | BotSkeleton.send_with_one_media | Post with one media item to all outputs.
Provide filename so outputs can handle their own uploads.
:param args: positional arguments.
expected:
text to send as message in post.
file to be uploaded.
caption to be paired with file.
k... | botskeleton/botskeleton.py | def send_with_one_media(
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*args: str,
text: str=None,
file: str=None,
caption: str=None,
) -> IterationRecord:
"""
Post with one media item to all outputs.
Provide filename so outputs can handle their own uploads.
:par... | def send_with_one_media(
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text: str=None,
file: str=None,
caption: str=None,
) -> IterationRecord:
"""
Post with one media item to all outputs.
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train | BotSkeleton.send_with_many_media | Post with several media.
Provide filenames so outputs can handle their own uploads.
:param args: positional arguments.
expected:
text to send as message in post.
files to be uploaded.
captions to be paired with files.
keyword argum... | botskeleton/botskeleton.py | def send_with_many_media(
self,
*args: str,
text: str=None,
files: List[str]=None,
captions: List[str]=[],
) -> IterationRecord:
"""
Post with several media.
Provide filenames so outputs can handle their own uploads.
:param... | def send_with_many_media(
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Post with several media.
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",",
"*",
"args",
":",
"str",
",",
"text",
":",
"str",
"=",
"None",
",",
"files",
":",
"List",
"[",
"str",
"]",
"=",
"None",
",",
"captions",
":",
"List",
"[",
"str",
"]",
"=",
"[",
"]",
",",
")",
"->... | 55bfc1b8a3623c10437e4ab2cd0b0ec8d35907a9 |
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