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train | get_bonds | Utility function to get indices (in pairs) of the bonds. | mmtf/utils/decoder_utils.py | def get_bonds(input_group):
"""Utility function to get indices (in pairs) of the bonds."""
out_list = []
for i in range(len(input_group.bond_order_list)):
out_list.append((input_group.bond_atom_list[i * 2], input_group.bond_atom_list[i * 2 + 1],))
return out_list | def get_bonds(input_group):
"""Utility function to get indices (in pairs) of the bonds."""
out_list = []
for i in range(len(input_group.bond_order_list)):
out_list.append((input_group.bond_atom_list[i * 2], input_group.bond_atom_list[i * 2 + 1],))
return out_list | [
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train | get_unique_groups | Function to get a unique list of groups. | mmtf/api/mmtf_writer.py | def get_unique_groups(input_list):
"""Function to get a unique list of groups."""
out_list = []
for item in input_list:
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return out_list | def get_unique_groups(input_list):
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out_list = []
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train | Group.convert_to_dict | Convert the group object to an appropriate DICT | mmtf/api/mmtf_writer.py | def convert_to_dict(self):
"""Convert the group object to an appropriate DICT"""
out_dict = {}
out_dict["groupName"] = self.group_name
out_dict["atomNameList"] = self.atom_name_list
out_dict["elementList"] = self.element_list
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"""Convert the group object to an appropriate DICT"""
out_dict = {}
out_dict["groupName"] = self.group_name
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train | TemplateEncoder.set_atom_info | Create an atom object an set the information.
:param atom_name: the atom name, e.g. CA for this atom
:param serial_number: the serial id of the atom (e.g. 1)
:param alternative_location_id: the alternative location id for the atom, if present
:param x: the x coordiante of the atom
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"""Create an atom object an set the information.
:param atom_name: the atom name, e.g. CA for this atom
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train | TemplateEncoder.set_group_info | Set the information for a group
:param group_name: the name of this group,e.g. LYS
:param group_number: the residue number of this group
:param insertion_code: the insertion code for this group
:param group_type: a string indicating the type of group (as found in the chemcomp dictionary.... | mmtf/api/mmtf_writer.py | def set_group_info(self, group_name, group_number, insertion_code,
group_type, atom_count, bond_count, single_letter_code,
sequence_index, secondary_structure_type):
"""Set the information for a group
:param group_name: the name of this group,e.g. LYS
... | def set_group_info(self, group_name, group_number, insertion_code,
group_type, atom_count, bond_count, single_letter_code,
sequence_index, secondary_structure_type):
"""Set the information for a group
:param group_name: the name of this group,e.g. LYS
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train | TemplateEncoder.set_header_info | Sets the header information.
:param r_free: the measured R-Free for the structure
:param r_work: the measure R-Work for the structure
:param resolution: the resolution of the structure
:param title: the title of the structure
:param deposition_date: the deposition date of the str... | mmtf/api/mmtf_writer.py | def set_header_info(self, r_free, r_work, resolution, title,
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"""Sets the header information.
:param r_free: the measured R-Free for the structure
:param r_work: the measure R-Work for the structure
:param resol... | def set_header_info(self, r_free, r_work, resolution, title,
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"""Sets the header information.
:param r_free: the measured R-Free for the structure
:param r_work: the measure R-Work for the structure
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train | MMTFEncoder.encode_data | Encode the data back into a dict. | mmtf/api/mmtf_writer.py | def encode_data(self):
"""Encode the data back into a dict."""
output_data = {}
output_data["groupTypeList"] = encode_array(self.group_type_list, 4, 0)
output_data["xCoordList"] = encode_array(self.x_coord_list, 10, 1000)
output_data["yCoordList"] = encode_array(self.y_coord_list... | def encode_data(self):
"""Encode the data back into a dict."""
output_data = {}
output_data["groupTypeList"] = encode_array(self.group_type_list, 4, 0)
output_data["xCoordList"] = encode_array(self.x_coord_list, 10, 1000)
output_data["yCoordList"] = encode_array(self.y_coord_list... | [
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train | MMTFEncoder.init_structure | Initialise the structure object.
:param total_num_bonds: the number of bonds in the structure
:param total_num_atoms: the number of atoms in the structure
:param total_num_groups: the number of groups in the structure
:param total_num_chains: the number of chains in the structure
... | mmtf/api/mmtf_writer.py | def init_structure(self, total_num_bonds, total_num_atoms,
total_num_groups, total_num_chains, total_num_models,
structure_id):
"""Initialise the structure object.
:param total_num_bonds: the number of bonds in the structure
:param total_num_atoms: t... | def init_structure(self, total_num_bonds, total_num_atoms,
total_num_groups, total_num_chains, total_num_models,
structure_id):
"""Initialise the structure object.
:param total_num_bonds: the number of bonds in the structure
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train | MMTFEncoder.set_atom_info | Create an atom object an set the information.
:param atom_name: the atom name, e.g. CA for this atom
:param serial_number: the serial id of the atom (e.g. 1)
:param alternative_location_id: the alternative location id for the atom, if present
:param x: the x coordiante of the atom
... | mmtf/api/mmtf_writer.py | def set_atom_info(self, atom_name, serial_number, alternative_location_id,
x, y, z, occupancy, temperature_factor, element, charge):
"""Create an atom object an set the information.
:param atom_name: the atom name, e.g. CA for this atom
:param serial_number: the serial id o... | def set_atom_info(self, atom_name, serial_number, alternative_location_id,
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"""Create an atom object an set the information.
:param atom_name: the atom name, e.g. CA for this atom
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train | MMTFEncoder.set_chain_info | Set the chain information.
:param chain_id: the asym chain id from mmCIF
:param chain_name: the auth chain id from mmCIF
:param num_groups: the number of groups this chain has | mmtf/api/mmtf_writer.py | def set_chain_info(self, chain_id, chain_name, num_groups):
"""Set the chain information.
:param chain_id: the asym chain id from mmCIF
:param chain_name: the auth chain id from mmCIF
:param num_groups: the number of groups this chain has
"""
self.chain_id_list.append(cha... | def set_chain_info(self, chain_id, chain_name, num_groups):
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:param chain_id: the asym chain id from mmCIF
:param chain_name: the auth chain id from mmCIF
:param num_groups: the number of groups this chain has
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train | MMTFEncoder.set_entity_info | Set the entity level information for the structure.
:param chain_indices: the indices of the chains for this entity
:param sequence: the one letter code sequence for this entity
:param description: the description for this entity
:param entity_type: the entity type (polymer,non-polymer,w... | mmtf/api/mmtf_writer.py | def set_entity_info(self, chain_indices, sequence, description, entity_type):
"""Set the entity level information for the structure.
:param chain_indices: the indices of the chains for this entity
:param sequence: the one letter code sequence for this entity
:param description: the descr... | def set_entity_info(self, chain_indices, sequence, description, entity_type):
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:param chain_indices: the indices of the chains for this entity
:param sequence: the one letter code sequence for this entity
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train | MMTFEncoder.set_group_info | Set the information for a group
:param group_name: the name of this group,e.g. LYS
:param group_number: the residue number of this group
:param insertion_code: the insertion code for this group
:param group_type: a string indicating the type of group (as found in the chemcomp dictionary.... | mmtf/api/mmtf_writer.py | def set_group_info(self, group_name, group_number, insertion_code,
group_type, atom_count, bond_count, single_letter_code,
sequence_index, secondary_structure_type):
"""Set the information for a group
:param group_name: the name of this group,e.g. LYS
... | def set_group_info(self, group_name, group_number, insertion_code,
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"""Set the information for a group
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train | MMTFEncoder.set_xtal_info | Set the crystallographic information for the structure
:param space_group: the space group name, e.g. "P 21 21 21"
:param unit_cell: an array of length 6 with the unit cell parameters in order: a, b, c, alpha, beta, gamma | mmtf/api/mmtf_writer.py | def set_xtal_info(self, space_group, unit_cell):
"""Set the crystallographic information for the structure
:param space_group: the space group name, e.g. "P 21 21 21"
:param unit_cell: an array of length 6 with the unit cell parameters in order: a, b, c, alpha, beta, gamma
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se... | def set_xtal_info(self, space_group, unit_cell):
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:param unit_cell: an array of length 6 with the unit cell parameters in order: a, b, c, alpha, beta, gamma
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train | MMTFEncoder.set_header_info | Sets the header information.
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:param r_work: the measure R-Work for the structure
:param resolution: the resolution of the structure
:param title: the title of the structure
:param deposition_date: the deposition date of the str... | mmtf/api/mmtf_writer.py | def set_header_info(self, r_free, r_work, resolution, title,
deposition_date, release_date, experimental_methods):
"""Sets the header information.
:param r_free: the measured R-Free for the structure
:param r_work: the measure R-Work for the structure
:param resol... | def set_header_info(self, r_free, r_work, resolution, title,
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train | MMTFEncoder.set_bio_assembly_trans | Set the Bioassembly transformation information. A single bioassembly can have multiple transforms,
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train | MMTFEncoder.finalize_structure | Any functions needed to cleanup the structure. | mmtf/api/mmtf_writer.py | def finalize_structure(self):
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train | MMTFEncoder.set_inter_group_bond | Add bonds between groups.
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train | run_length_encode | A function to run length decode an int array.
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train | delta_encode | A function to delta decode an int array.
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train | decode_array | Parse the header of an input byte array and then decode using the input array,
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train | run_length_decode | A function to run length decode an int array.
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:param max: the maximum integer size
:param min: the minimum integer size
:return the array of integers after recursive index decoding | mmtf/converters/numpy_converters.py | def recursive_index_decode(int_array, max=32767, min=-32768):
"""Unpack an array of integers using recursive indexing.
:param int_array: the input array of integers
:param max: the maximum integer size
:param min: the minimum integer size
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train | MMTFDecoder.get_coords | Utility function to get the coordinates as a single list of tuples. | mmtf/api/mmtf_reader.py | def get_coords(self):
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out_list = []
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return out_list | def get_coords(self):
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out_list = []
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Check to see if the internet is on by pinging a set address.
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"""API function to write data as MMTF to a file
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train | parse | Return a decoded API to the data from a file path.
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"""Return a decoded API to the data from a file path.
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train | parse_gzip | Return a decoded API to the data from a file path. File is gzip compressed.
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"""Return a decoded API to the data from a file path. File is gzip compressed.
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newDecoder = MMTFDecoder()
newDecoder.decode_data(_unpack(gzip.open(file_path, "rb")))
retur... | def parse_gzip(file_path):
"""Return a decoded API to the data from a file path. File is gzip compressed.
:param file_path: the input file path. Data is gzip compressed.
:return an API to decoded data"""
newDecoder = MMTFDecoder()
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train | ungzip_data | Return a string of data after gzip decoding
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"""Return a string of data after gzip decoding
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buf = StringIO(input_data)
f = gzip.GzipFile(fileobj=buf)
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buf = StringIO(input_data)
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"""Parse the header and return it along with the input array minus the header.
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codec = struct.unpack(mmtf.utils.constants.NUM_DICT[... | def parse_header(input_array):
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train | convert_bytes_to_ints | Convert a byte array into an integer array. The number of bytes forming an integer
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:param in_bytes: the input bytes
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train | convert_ints_to_bytes | Convert an integer array into a byte arrays. The number of bytes forming an integer
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train | run_length_decode | A function to run length decode an int array.
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train | build | Build and return an optimizer for the rosenbrock function.
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In downhill, an optimizer can be constructed using the build() top-level
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'''Build and return an optimizer for the rosenbrock function.
In downhill, an optimizer can be constructed using the build() top-level
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train | minimize | Minimize a loss function with respect to some symbolic parameters.
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train | make_label | Create a legend label for an optimization run. | examples/rosenbrock-2d.py | def make_label(loss, key):
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train | Dataset.iterate | Iterate over batches in the dataset.
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'''Iterate over batches in the dataset.
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Parameters
----------
shuffle : bool, optional
Shuffle the batches in this dataset if the iteration r... | def iterate(self, shuffle=True):
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train | shared_like | Create a Theano shared variable like an existing parameter.
Parameters
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param : Theano variable
Theano variable to use for shape information.
suffix : str
Suffix to append to the parameter's name for the new variable.
init : float or ndarray, optional
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Theano variable to use for shape information.
suffix : str
Suffix to append to the parameter's name for the new variable.
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param : Theano variable
Theano variable to use for shape information.
suffix : str
Suffix to append to the parameter's name for the new variable.
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train | find_inputs_and_params | Walk a computation graph and extract root variables.
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node : Theano expression
A symbolic Theano expression to walk.
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inputs : list Theano variables
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'''Walk a computation graph and extract root variables.
Parameters
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node : Theano expression
A symbolic Theano expression to walk.
Returns
-------
inputs : list Theano variables
A list of candidate inputs for this graph. Inputs ar... | def find_inputs_and_params(node):
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node : Theano expression
A symbolic Theano expression to walk.
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-------
inputs : list Theano variables
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train | log | Log a message to the console.
Parameters
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msg : str
A string to display on the console. This can contain {}-style
formatting commands; the remaining positional and keyword arguments
will be used to fill them in. | downhill/util.py | def log(msg, *args, **kwargs):
'''Log a message to the console.
Parameters
----------
msg : str
A string to display on the console. This can contain {}-style
formatting commands; the remaining positional and keyword arguments
will be used to fill them in.
'''
now = datet... | def log(msg, *args, **kwargs):
'''Log a message to the console.
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msg : str
A string to display on the console. This can contain {}-style
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train | log_param | Log a parameter value to the console.
Parameters
----------
name : str
Name of the parameter being logged.
value : any
Value of the parameter being logged. | downhill/util.py | def log_param(name, value):
'''Log a parameter value to the console.
Parameters
----------
name : str
Name of the parameter being logged.
value : any
Value of the parameter being logged.
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log('setting {} = {}', click.style(str(name)),
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Name of the parameter being logged.
value : any
Value of the parameter being logged.
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train | load_mnist | Load the MNIST digits dataset. | examples/mnist-sparse-factorization.py | def load_mnist():
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train | build | Construct an optimizer by name.
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train | Optimizer._log | Log the state of the optimizer on the console.
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iteration : int
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A set of data to use for evaluating the model.
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A dataset for optimizing the model.
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A dataset for optimizing the model.
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train | accept_arguments | Returns True if the given method will accept the given number of arguments
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receiver: the object containing the slot method to be called
... | def connect(self, signal, slot, transform=None, condition=None):
"""Defines a connection between this objects signal and another objects slot
signal: the signal this class will emit, to cause the slot method to be called
receiver: the object containing the slot method to be called
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train | Connectable.disconnect | Removes connection(s) between this objects signal and connected slot(s)
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train | inventory_context.get | Returns context data for a given app, can be an ID or a case insensitive name | steam/sim.py | def get(self, key):
""" Returns context data for a given app, can be an ID or a case insensitive name """
keystr = str(key)
res = None
try:
res = self.ctx[keystr]
except KeyError:
for k, v in self.ctx.items():
if "name" in v and v["name"].... | def get(self, key):
""" Returns context data for a given app, can be an ID or a case insensitive name """
keystr = str(key)
res = None
try:
res = self.ctx[keystr]
except KeyError:
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train | item.hash_name | The URL-friendly identifier for the item. Generates its own approximation if one isn't available | steam/sim.py | def hash_name(self):
""" The URL-friendly identifier for the item. Generates its own approximation if one isn't available """
name = self._item.get("market_hash_name")
if not name:
name = "{0.appid}-{0.name}".format(self)
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""" The URL-friendly identifier for the item. Generates its own approximation if one isn't available """
name = self._item.get("market_hash_name")
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name = "{0.appid}-{0.name}".format(self)
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train | item.quality | Can't really trust presence of a schema here, but there is an ID sometimes | steam/sim.py | def quality(self):
""" Can't really trust presence of a schema here, but there is an ID sometimes """
try:
qid = int((self.tool_metadata or {}).get("quality", 0))
except:
qid = 0
# We might be able to get the quality strings from the item's tags
internal_... | def quality(self):
""" Can't really trust presence of a schema here, but there is an ID sometimes """
try:
qid = int((self.tool_metadata or {}).get("quality", 0))
except:
qid = 0
# We might be able to get the quality strings from the item's tags
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train | key.get | Get the current API key.
if one has not been given via 'set' the env var STEAMODD_API_KEY will
be checked instead. | steam/api.py | def get(cls):
"""Get the current API key.
if one has not been given via 'set' the env var STEAMODD_API_KEY will
be checked instead.
"""
apikey = cls.__api_key or cls.__api_key_env_var
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return apikey
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raise APIKeyMissingError... | def get(cls):
"""Get the current API key.
if one has not been given via 'set' the env var STEAMODD_API_KEY will
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"""
apikey = cls.__api_key or cls.__api_key_env_var
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train | method_result.call | Make the API call again and fetch fresh data. | steam/api.py | def call(self):
""" Make the API call again and fetch fresh data. """
data = self._downloader.download()
# Only try to pass errors arg if supported
if sys.version >= "2.7":
data = data.decode("utf-8", errors="ignore")
else:
data = data.decode("utf-8")
... | def call(self):
""" Make the API call again and fetch fresh data. """
data = self._downloader.download()
# Only try to pass errors arg if supported
if sys.version >= "2.7":
data = data.decode("utf-8", errors="ignore")
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train | schema._attribute_definition | Returns the attribute definition dict of a given attribute
ID, can be the name or the integer ID | steam/items.py | def _attribute_definition(self, attrid):
""" Returns the attribute definition dict of a given attribute
ID, can be the name or the integer ID """
attrs = self._schema["attributes"]
try:
# Make a new dict to avoid side effects
return dict(attrs[attrid])
ex... | def _attribute_definition(self, attrid):
""" Returns the attribute definition dict of a given attribute
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attrs = self._schema["attributes"]
try:
# Make a new dict to avoid side effects
return dict(attrs[attrid])
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train | schema._quality_definition | Returns the ID and localized name of the given quality, can be either ID type | steam/items.py | def _quality_definition(self, qid):
""" Returns the ID and localized name of the given quality, can be either ID type """
qualities = self._schema["qualities"]
try:
return qualities[qid]
except KeyError:
qid = self._schema["quality_names"].get(str(qid).lower(), 0... | def _quality_definition(self, qid):
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qualities = self._schema["qualities"]
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qid = self._schema["quality_names"].get(str(qid).lower(), 0... | [
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train | schema.attributes | Returns all attributes in the schema | steam/items.py | def attributes(self):
""" Returns all attributes in the schema """
attrs = self._schema["attributes"]
return [item_attribute(attr) for attr in sorted(attrs.values(),
key=operator.itemgetter("defindex"))] | def attributes(self):
""" Returns all attributes in the schema """
attrs = self._schema["attributes"]
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train | schema.origin_id_to_name | Returns a localized origin name for a given ID | steam/items.py | def origin_id_to_name(self, origin):
""" Returns a localized origin name for a given ID """
try:
oid = int(origin)
except (ValueError, TypeError):
return None
return self.origins.get(oid) | def origin_id_to_name(self, origin):
""" Returns a localized origin name for a given ID """
try:
oid = int(origin)
except (ValueError, TypeError):
return None
return self.origins.get(oid) | [
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train | item.attributes | Returns a list of attributes | steam/items.py | def attributes(self):
""" Returns a list of attributes """
overridden_attrs = self._attributes
sortmap = {"neutral": 1, "positive": 2,
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sortedattrs = list(overridden_attrs.values())
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train | item.equipped | Returns a dict of classes that have the item equipped and in what slot | steam/items.py | def equipped(self):
""" Returns a dict of classes that have the item equipped and in what slot """
equipped = self._item.get("equipped", [])
# WORKAROUND: 0 is probably an off-by-one error
# WORKAROUND: 65535 actually serves a purpose (according to Valve)
return dict([(eq["class... | def equipped(self):
""" Returns a dict of classes that have the item equipped and in what slot """
equipped = self._item.get("equipped", [])
# WORKAROUND: 0 is probably an off-by-one error
# WORKAROUND: 65535 actually serves a purpose (according to Valve)
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train | item.equipable_classes | Returns a list of classes that _can_ use the item. | steam/items.py | def equipable_classes(self):
""" Returns a list of classes that _can_ use the item. """
sitem = self._schema_item
return [c for c in sitem.get("used_by_classes", self.equipped.keys()) if c] | def equipable_classes(self):
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sitem = self._schema_item
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train | item.contents | Returns the item in the container, if there is one.
This will be a standard item object. | steam/items.py | def contents(self):
""" Returns the item in the container, if there is one.
This will be a standard item object. """
rawitem = self._item.get("contained_item")
if rawitem:
return self.__class__(rawitem, self._schema) | def contents(self):
""" Returns the item in the container, if there is one.
This will be a standard item object. """
rawitem = self._item.get("contained_item")
if rawitem:
return self.__class__(rawitem, self._schema) | [
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train | item.full_name | The full name of the item, generated depending
on things such as its quality, rank, the schema language,
and so on. | steam/items.py | def full_name(self):
"""
The full name of the item, generated depending
on things such as its quality, rank, the schema language,
and so on.
"""
qid, quality_str, pretty_quality_str = self.quality
custom_name = self.custom_name
item_name = self.name
... | def full_name(self):
"""
The full name of the item, generated depending
on things such as its quality, rank, the schema language,
and so on.
"""
qid, quality_str, pretty_quality_str = self.quality
custom_name = self.custom_name
item_name = self.name
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train | item.kill_eaters | Returns a list of tuples containing the proper localized kill eater type strings and their values
according to set/type/value "order" | steam/items.py | def kill_eaters(self):
"""
Returns a list of tuples containing the proper localized kill eater type strings and their values
according to set/type/value "order"
"""
eaters = {}
ranktypes = self._kill_types
for attr in self:
aname = attr.name.strip()
... | def kill_eaters(self):
"""
Returns a list of tuples containing the proper localized kill eater type strings and their values
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"""
eaters = {}
ranktypes = self._kill_types
for attr in self:
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train | item.rank | Returns the item's rank (if it has one)
as a dict that includes required score, name, and level. | steam/items.py | def rank(self):
"""
Returns the item's rank (if it has one)
as a dict that includes required score, name, and level.
"""
if self._rank != {}:
# Don't bother doing attribute lookups again
return self._rank
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"""
Returns the item's rank (if it has one)
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"""
if self._rank != {}:
# Don't bother doing attribute lookups again
return self._rank
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train | item.available_styles | Returns a list of all styles defined for the item | steam/items.py | def available_styles(self):
""" Returns a list of all styles defined for the item """
styles = self._schema_item.get("styles", [])
return list(map(operator.itemgetter("name"), styles)) | def available_styles(self):
""" Returns a list of all styles defined for the item """
styles = self._schema_item.get("styles", [])
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train | item_attribute.formatted_value | Returns a formatted value as a string | steam/items.py | def formatted_value(self):
""" Returns a formatted value as a string"""
# TODO: Cleanup all of this, it's just weird and unnatural maths
val = self.value
pval = val
ftype = self.value_type
if ftype == "percentage":
pval = int(round(val * 100))
if... | def formatted_value(self):
""" Returns a formatted value as a string"""
# TODO: Cleanup all of this, it's just weird and unnatural maths
val = self.value
pval = val
ftype = self.value_type
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train | item_attribute.formatted_description | Returns a formatted description string (%s* tokens replaced) or None if unavailable | steam/items.py | def formatted_description(self):
""" Returns a formatted description string (%s* tokens replaced) or None if unavailable """
desc = self.description
if desc:
return desc.replace("%s1", self.formatted_value)
else:
return None | def formatted_description(self):
""" Returns a formatted description string (%s* tokens replaced) or None if unavailable """
desc = self.description
if desc:
return desc.replace("%s1", self.formatted_value)
else:
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train | item_attribute.value_type | The attribute's type, note that this is the type of the attribute's
value and not its affect on the item (i.e. negative or positive). See
'type' for that. | steam/items.py | def value_type(self):
""" The attribute's type, note that this is the type of the attribute's
value and not its affect on the item (i.e. negative or positive). See
'type' for that. """
redundantprefix = "value_is_"
vtype = self._attribute.get("description_format")
if vty... | def value_type(self):
""" The attribute's type, note that this is the type of the attribute's
value and not its affect on the item (i.e. negative or positive). See
'type' for that. """
redundantprefix = "value_is_"
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train | item_attribute.account_info | Certain attributes have a user's account information
associated with it such as a gifted or crafted item.
A dict with two keys: 'persona' and 'id64'.
None if the attribute has no account information attached to it. | steam/items.py | def account_info(self):
""" Certain attributes have a user's account information
associated with it such as a gifted or crafted item.
A dict with two keys: 'persona' and 'id64'.
None if the attribute has no account information attached to it. """
account_info = self._attribute.g... | def account_info(self):
""" Certain attributes have a user's account information
associated with it such as a gifted or crafted item.
A dict with two keys: 'persona' and 'id64'.
None if the attribute has no account information attached to it. """
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train | asset_item.tags | Returns a dict containing tags and their localized labels as values | steam/items.py | def tags(self):
""" Returns a dict containing tags and their localized labels as values """
return dict([(t, self._catalog.tags.get(t, t)) for t in self._asset.get("tags", [])]) | def tags(self):
""" Returns a dict containing tags and their localized labels as values """
return dict([(t, self._catalog.tags.get(t, t)) for t in self._asset.get("tags", [])]) | [
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train | profile.vanity | Returns the user's vanity url if it exists, None otherwise | steam/user.py | def vanity(self):
""" Returns the user's vanity url if it exists, None otherwise """
purl = self.profile_url.strip('/')
if purl.find("/id/") != -1:
return os.path.basename(purl) | def vanity(self):
""" Returns the user's vanity url if it exists, None otherwise """
purl = self.profile_url.strip('/')
if purl.find("/id/") != -1:
return os.path.basename(purl) | [
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train | profile.creation_date | Returns the account creation date as a localtime time.struct_time
struct if public | steam/user.py | def creation_date(self):
""" Returns the account creation date as a localtime time.struct_time
struct if public"""
timestamp = self._prof.get("timecreated")
if timestamp:
return time.localtime(timestamp) | def creation_date(self):
""" Returns the account creation date as a localtime time.struct_time
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timestamp = self._prof.get("timecreated")
if timestamp:
return time.localtime(timestamp) | [
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train | profile.current_game | Returns a tuple of 3 elements (each of which may be None if not available):
Current game app ID, server ip:port, misc. extra info (eg. game title) | steam/user.py | def current_game(self):
"""
Returns a tuple of 3 elements (each of which may be None if not available):
Current game app ID, server ip:port, misc. extra info (eg. game title)
"""
obj = self._prof
gameid = obj.get("gameid")
gameserverip = obj.get("gameserverip")
... | def current_game(self):
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"""
obj = self._prof
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train | profile.level | Returns the the user's profile level, note that this runs a separate
request because the profile level data isn't in the standard player summary
output even though it should be. Which is also why it's not implemented
as a separate class. You won't need this output and not the profile output | steam/user.py | def level(self):
"""
Returns the the user's profile level, note that this runs a separate
request because the profile level data isn't in the standard player summary
output even though it should be. Which is also why it's not implemented
as a separate class. You won't need this o... | def level(self):
"""
Returns the the user's profile level, note that this runs a separate
request because the profile level data isn't in the standard player summary
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train | profile.from_def | Builds a profile object from a raw player summary object | steam/user.py | def from_def(cls, obj):
""" Builds a profile object from a raw player summary object """
prof = cls(obj["steamid"])
prof._cache = obj
return prof | def from_def(cls, obj):
""" Builds a profile object from a raw player summary object """
prof = cls(obj["steamid"])
prof._cache = obj
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train | JsonStreamListener.on_status_withheld | Called when a status is withheld | twitter_monitor/listener.py | def on_status_withheld(self, status_id, user_id, countries):
"""Called when a status is withheld"""
logger.info('Status %s withheld for user %s', status_id, user_id)
return True | def on_status_withheld(self, status_id, user_id, countries):
"""Called when a status is withheld"""
logger.info('Status %s withheld for user %s', status_id, user_id)
return True | [
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train | JsonStreamListener.on_disconnect | Called when a disconnect is received | twitter_monitor/listener.py | def on_disconnect(self, code, stream_name, reason):
"""Called when a disconnect is received"""
logger.error('Disconnect message: %s %s %s', code, stream_name, reason)
return True | def on_disconnect(self, code, stream_name, reason):
"""Called when a disconnect is received"""
logger.error('Disconnect message: %s %s %s', code, stream_name, reason)
return True | [
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train | JsonStreamListener.on_error | Called when a non-200 status code is returned | twitter_monitor/listener.py | def on_error(self, status_code):
"""Called when a non-200 status code is returned"""
logger.error('Twitter returned error code %s', status_code)
self.error = status_code
return False | def on_error(self, status_code):
"""Called when a non-200 status code is returned"""
logger.error('Twitter returned error code %s', status_code)
self.error = status_code
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] | michaelbrooks/twitter-monitor | python | https://github.com/michaelbrooks/twitter-monitor/blob/3f99cea8492d3bdaa16f28a038bc8cf6022222ba/twitter_monitor/listener.py#L110-L114 | [
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"False"
] | 3f99cea8492d3bdaa16f28a038bc8cf6022222ba |
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