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value | func_code_string stringlengths 75 104k | func_code_tokens listlengths 19 28.4k | func_documentation_string stringlengths 1 46.9k | func_documentation_tokens listlengths 1 1.97k | split_name stringclasses 1
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.load_distant | def load_distant(self):
"""Load the distant Zotero data."""
print("Loading distant Zotero data...")
self._references = self.get_references()
self.reference_types = self.get_reference_types()
self.reference_templates = self.get_reference_templates(self.reference_types)
pri... | python | def load_distant(self):
"""Load the distant Zotero data."""
print("Loading distant Zotero data...")
self._references = self.get_references()
self.reference_types = self.get_reference_types()
self.reference_templates = self.get_reference_templates(self.reference_types)
pri... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.cache | def cache(self):
"""Cache the Zotero data."""
with open(self.cache_path, "wb") as f:
cache = {self.CACHE_REFERENCE_LIST: self._references,
self.CACHE_REFERENCE_TYPES: self.reference_types,
self.CACHE_REFERENCE_TEMPLATES: self.reference_templates}
... | python | def cache(self):
"""Cache the Zotero data."""
with open(self.cache_path, "wb") as f:
cache = {self.CACHE_REFERENCE_LIST: self._references,
self.CACHE_REFERENCE_TYPES: self.reference_types,
self.CACHE_REFERENCE_TEMPLATES: self.reference_templates}
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.create_distant_reference | def create_distant_reference(self, ref_data):
"""Validate and create the reference in Zotero and return the created item."""
self.validate_reference_data(ref_data)
creation_status = self._zotero_lib.create_items([ref_data])
try:
created_item = creation_status["successful"]["0... | python | def create_distant_reference(self, ref_data):
"""Validate and create the reference in Zotero and return the created item."""
self.validate_reference_data(ref_data)
creation_status = self._zotero_lib.create_items([ref_data])
try:
created_item = creation_status["successful"]["0... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.update_local_reference | def update_local_reference(self, index, ref):
"""Replace the reference in the reference list and cache it."""
self._references[index] = ref
self.cache() | python | def update_local_reference(self, index, ref):
"""Replace the reference in the reference list and cache it."""
self._references[index] = ref
self.cache() | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.update_distant_reference | def update_distant_reference(self, ref):
"""Validate and update the reference in Zotero.
Existing fields not present will be left unmodified.
"""
self.validate_reference_data(ref["data"])
self._zotero_lib.update_item(ref) | python | def update_distant_reference(self, ref):
"""Validate and update the reference in Zotero.
Existing fields not present will be left unmodified.
"""
self.validate_reference_data(ref["data"])
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.validate_reference_data | def validate_reference_data(self, ref_data):
"""Validate the reference data.
Zotero.check_items() caches data after the first API call.
"""
try:
self._zotero_lib.check_items([ref_data])
except InvalidItemFields as e:
raise InvalidZoteroItemError from e | python | def validate_reference_data(self, ref_data):
"""Validate the reference data.
Zotero.check_items() caches data after the first API call.
"""
try:
self._zotero_lib.check_items([ref_data])
except InvalidItemFields as e:
raise InvalidZoteroItemError from e | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.get_reference_types | def get_reference_types(self):
"""Return the reference types.
Zotero.item_types() caches data after the first API call.
"""
item_types = self._zotero_lib.item_types()
return sorted([x["itemType"] for x in item_types]) | python | def get_reference_types(self):
"""Return the reference types.
Zotero.item_types() caches data after the first API call.
"""
item_types = self._zotero_lib.item_types()
return sorted([x["itemType"] for x in item_types]) | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.get_reference_templates | def get_reference_templates(self, ref_types):
"""Return the reference templates for the types as an ordered dictionary."""
return OrderedDict([(x, self.get_reference_template(x)) for x in ref_types]) | python | def get_reference_templates(self, ref_types):
"""Return the reference templates for the types as an ordered dictionary."""
return OrderedDict([(x, self.get_reference_template(x)) for x in ref_types]) | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.get_reference_template | def get_reference_template(self, ref_type):
"""Return the reference template for the type as an ordered dictionary.
Zotero.item_template() caches data after the first API call.
"""
template = self._zotero_lib.item_template(ref_type)
return OrderedDict(sorted(template.items(), ke... | python | def get_reference_template(self, ref_type):
"""Return the reference template for the type as an ordered dictionary.
Zotero.item_template() caches data after the first API call.
"""
template = self._zotero_lib.item_template(ref_type)
return OrderedDict(sorted(template.items(), ke... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_extra_field | def reference_extra_field(self, field, index):
"""Return the value of the field in 'extra', otherwise ''."""
ref_data = self.reference_data(index)
extra_fields = ref_data["extra"].split("\n")
field_id = field + ":"
matched = next((x for x in extra_fields if x.startswith(field_id)... | python | def reference_extra_field(self, field, index):
"""Return the value of the field in 'extra', otherwise ''."""
ref_data = self.reference_data(index)
extra_fields = ref_data["extra"].split("\n")
field_id = field + ":"
matched = next((x for x in extra_fields if x.startswith(field_id)... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_id | def reference_id(self, index):
"""Return the reference ID (locally defined)."""
# TODO Include ISBN and ISSN?
doi = self.reference_doi(index)
if doi:
return doi
else:
pmid = self.reference_pmid(index)
if pmid:
return "PMID_" + p... | python | def reference_id(self, index):
"""Return the reference ID (locally defined)."""
# TODO Include ISBN and ISSN?
doi = self.reference_doi(index)
if doi:
return doi
else:
pmid = self.reference_pmid(index)
if pmid:
return "PMID_" + p... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_doi | def reference_doi(self, index):
"""Return the reference DOI."""
return self.reference_data(index).get("DOI", self.reference_extra_field("DOI", index)) | python | def reference_doi(self, index):
"""Return the reference DOI."""
return self.reference_data(index).get("DOI", self.reference_extra_field("DOI", index)) | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_creator_surnames | def reference_creator_surnames(self, index):
"""Return as a list the surnames of the reference creators (locally defined)."""
# TODO Not true, ex: ISBN 978-1-4398-3778-8. Return all creator types?
# Academic books published as a collection of chapters contributed by
# different authors h... | python | def reference_creator_surnames(self, index):
"""Return as a list the surnames of the reference creators (locally defined)."""
# TODO Not true, ex: ISBN 978-1-4398-3778-8. Return all creator types?
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# different authors h... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_year | def reference_year(self, index):
"""Return the reference publication year."""
# TODO Use meta:parsedDate field instead?
ref_date = self.reference_date(index)
try:
# NB: datetime.year returns an int.
return parse(ref_date).year
except ValueError:
... | python | def reference_year(self, index):
"""Return the reference publication year."""
# TODO Use meta:parsedDate field instead?
ref_date = self.reference_date(index)
try:
# NB: datetime.year returns an int.
return parse(ref_date).year
except ValueError:
... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_journal | def reference_journal(self, index):
"""Return the reference journal name."""
# TODO Change the column name 'Journal' to an other?
ref_type = self.reference_type(index)
if ref_type == "journalArticle":
return self.reference_data(index)["publicationTitle"]
else:
... | python | def reference_journal(self, index):
"""Return the reference journal name."""
# TODO Change the column name 'Journal' to an other?
ref_type = self.reference_type(index)
if ref_type == "journalArticle":
return self.reference_data(index)["publicationTitle"]
else:
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_index | def reference_index(self, ref_id):
"""Return the first reference with this ID."""
try:
indexes = range(self.reference_count())
return next(i for i in indexes if self.reference_id(i) == ref_id)
except StopIteration as e:
raise ReferenceNotFoundError("ID: " + re... | python | def reference_index(self, ref_id):
"""Return the first reference with this ID."""
try:
indexes = range(self.reference_count())
return next(i for i in indexes if self.reference_id(i) == ref_id)
except StopIteration as e:
raise ReferenceNotFoundError("ID: " + re... | [
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BlueBrain/nat | nat/zotero_wrap.py | ZoteroWrap.reference_creators_citation | def reference_creators_citation(self, ref_id):
"""Return for citation the creator surnames (locally defined) and the publication year."""
# FIXME Delayed refactoring. Use an index instead of an ID.
index = self.reference_index(ref_id)
creators = self.reference_creator_surnames(index)
... | python | def reference_creators_citation(self, ref_id):
"""Return for citation the creator surnames (locally defined) and the publication year."""
# FIXME Delayed refactoring. Use an index instead of an ID.
index = self.reference_index(ref_id)
creators = self.reference_creator_surnames(index)
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BlueBrain/nat | nat/restServer.py | computePDFSimilarity | def computePDFSimilarity(paperId, userPDF):
if not isPDFInDb(paperId):
return None
userPDF.save("temp.pdf")
# check_call is blocking
check_call(['pdftotext', '-enc', 'UTF-8', "temp.pdf", "temp.txt"])
os.remove("temp.pdf")
a = open("temp.txt", 'r').read()
b = open(join(dbPath, ... | python | def computePDFSimilarity(paperId, userPDF):
if not isPDFInDb(paperId):
return None
userPDF.save("temp.pdf")
# check_call is blocking
check_call(['pdftotext', '-enc', 'UTF-8', "temp.pdf", "temp.txt"])
os.remove("temp.pdf")
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siboles/pyFEBio | febio/MeshDef.py | MeshDef.addElement | def addElement(self,etype='hex8',corners=[-1.0,-1.0,-1.0,1.,-1.0,-1.0,1.0,1.0,-1.0,-1.0,1.0,-1.0,-1.0,-1.0,1.0,1.0,-1.0,1.0,1.0,1.0,1.0,-1.0,1.0,1.0],name='new_elem'):
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BlueBrain/nat | nat/scigraph_client.py | Graph.getNeighbors | def getNeighbors(self, id, depth=1, blankNodes='false', relationshipType=None, direction='BOTH', project='*', callback=None, output='application/json'):
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BlueBrain/nat | nat/scigraph_client.py | Analyzer.enrich | def enrich(self, sample, ontologyClass, path, callback=None, output='application/json'):
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BlueBrain/nat | nat/scigraph_client.py | Annotations.annotatePost | def annotatePost(self, content, includeCat=None, excludeCat=None, minLength=4, longestOnly='false', includeAbbrev='false', includeAcronym='false', includeNumbers='false', ignoreTag=None, stylesheet=None, scripts=None, targetId=None, targetClass=None):
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BlueBrain/nat | nat/scigraph_client.py | Lexical.getPos | def getPos(self, text):
""" Tag parts of speech. from: /lexical/pos
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text: The text to tag
"""
kwargs = {'text':text}
kwargs = {k:dumps(v) if type(v) is dict else v for k, v in kwargs.items()}
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text: The text to tag
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BlueBrain/nat | nat/scigraph_client.py | Vocabulary.findByPrefix | def findByPrefix(self, term, limit=20, searchSynonyms='true', searchAbbreviations='false', searchAcronyms='false', includeDeprecated='false', category=None, prefix=None):
""" Find a concept by its prefix from: /vocabulary/autocomplete/{term}
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term: Term prefix to find
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RI-imaging/nrefocus | examples/example_helper.py | load_cell | def load_cell(fname="HL60_field.zip"):
"Load zip file and return complex field"
here = op.dirname(op.abspath(__file__))
data = op.join(here, "data")
arc = zipfile.ZipFile(op.join(data, fname))
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... | python | def load_cell(fname="HL60_field.zip"):
"Load zip file and return complex field"
here = op.dirname(op.abspath(__file__))
data = op.join(here, "data")
arc = zipfile.ZipFile(op.join(data, fname))
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rainwoodman/kdcount | kdcount/sphere.py | bootstrap | def bootstrap(nside, rand, nbar, *data):
""" This function will bootstrap data based on the sky coverage of rand.
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rainwoodman/kdcount | kdcount/sphere.py | ang2pix | def ang2pix(nside, theta, phi):
r"""Convert angle :math:`\theta` :math:`\phi` to pixel.
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anteater/anteater | anteater/src/get_lists.py | GetLists.load_project_flag_list_file | def load_project_flag_list_file(self, project_exceptions, project):
""" Loads project specific lists """
if self.loaded:
return
exception_file = None
for item in project_exceptions:
if project in item:
exception_file = item.get(project)
if ... | python | def load_project_flag_list_file(self, project_exceptions, project):
""" Loads project specific lists """
if self.loaded:
return
exception_file = None
for item in project_exceptions:
if project in item:
exception_file = item.get(project)
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anteater/anteater | anteater/src/get_lists.py | GetLists.binary_hash | def binary_hash(self, project, patch_file):
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""" Gathers sha256 hashes from binary lists """
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anteater/anteater | anteater/src/get_lists.py | GetLists.file_audit_list | def file_audit_list(self, project):
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default_list = set((fl['file_audits']['file_names']))
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""" Gathers file name lists """
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anteater/anteater | anteater/src/get_lists.py | GetLists.ignore_directories | def ignore_directories(self, project):
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anteater/anteater | anteater/src/get_lists.py | GetLists.url_ignore | def url_ignore(self, project):
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anteater/anteater | anteater/src/get_lists.py | GetLists.ip_ignore | def ip_ignore(self, project):
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logger.error('Key Error processing ip_ignore list values')
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project_exceptions = il.get('project_... | python | def ip_ignore(self, project):
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project_list = False
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ip_ignore = il['ip_ignore']
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logger.error('Key Error processing ip_ignore list values')
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | download_from_github | def download_from_github(fname, path):
"""
Download database from GitHub
:param fname: file name with extension ('.zip') of the target item
:type fname: str
:param path: path to save unzipped files
:type path: str
:return: database folder
:rtype: folder
"""
base_url = 'https://... | python | def download_from_github(fname, path):
"""
Download database from GitHub
:param fname: file name with extension ('.zip') of the target item
:type fname: str
:param path: path to save unzipped files
:type path: str
:return: database folder
:rtype: folder
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_list_element_from_database | def get_list_element_from_database(database='ENDF_VII'):
"""return a string array of all the element from the database
Parameters:
==========
database: string. Name of database
Raises:
======
ValueError if database can not be found
"""
_file_path = os.path.abspath(os.path.dirname(... | python | def get_list_element_from_database(database='ENDF_VII'):
"""return a string array of all the element from the database
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==========
database: string. Name of database
Raises:
======
ValueError if database can not be found
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | is_element_in_database | def is_element_in_database(element='', database='ENDF_VII'):
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Parameters:
==========
element: string. Name of the element. Not case sensitive
database: string (default is 'ENDF_VII'). Name of folder that has the list of elements
... | python | def is_element_in_database(element='', database='ENDF_VII'):
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element: string. Name of the element. Not case sensitive
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | checking_stack | def checking_stack(stack, database='ENDF_VII'):
"""This method makes sure that all the elements from the various stacks are
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Parameters:
==========
stack: dictionary that defines the various stacks
database: string (default is... | python | def checking_stack(stack, database='ENDF_VII'):
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stack: dictionary that defines the various stacks
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | formula_to_dictionary | def formula_to_dictionary(formula='', thickness=np.NaN, density=np.NaN, database='ENDF_VII'):
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Parameters:
===========
formula: string
ex: 'AgCo2'
ex: 'Ag'
thickness: float (in mm) default is np.NaN
density: float (in g/cm3) default i... | python | def formula_to_dictionary(formula='', thickness=np.NaN, density=np.NaN, database='ENDF_VII'):
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===========
formula: string
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_isotope_dicts | def get_isotope_dicts(element='', database='ENDF_VII'):
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Parameters:
===========
element: string. Name of the element
ex: 'Ag'
database: string (default is ENDF_VII)
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========
... | python | def get_isotope_dicts(element='', database='ENDF_VII'):
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element: string. Name of the element
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database: string (default is ENDF_VII)
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_database_data | def get_database_data(file_name=''):
"""return the energy (eV) and Sigma (barn) from the file_name
Parameters:
===========
file_name: string ('' by default) name of csv file
Returns:
========
pandas dataframe
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=======
IOError if file does not exist
"""
... | python | def get_database_data(file_name=''):
"""return the energy (eV) and Sigma (barn) from the file_name
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===========
file_name: string ('' by default) name of csv file
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========
pandas dataframe
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=======
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_interpolated_data | def get_interpolated_data(df: pd.DataFrame, e_min=np.nan, e_max=np.nan, e_step=np.nan):
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:type df: pandas.DataFrame
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_sigma | def get_sigma(database_file_name='', e_min=np.NaN, e_max=np.NaN, e_step=np.NaN, t_kelvin=None):
"""retrieve the Energy and sigma axis for the given isotope
:param database_file_name: path/to/file with extension
:type database_file_name: string
:param e_min: left energy range in eV of new interpolated d... | python | def get_sigma(database_file_name='', e_min=np.NaN, e_max=np.NaN, e_step=np.NaN, t_kelvin=None):
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | get_atoms_per_cm3_of_layer | def get_atoms_per_cm3_of_layer(compound_dict: dict):
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:param compound_dict: compound infomation to pass
:type compound_dict: dict
:return: molar mass and atom density for layer
:rtype: float
"""
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_list_... | python | def get_atoms_per_cm3_of_layer(compound_dict: dict):
"""
calculate the atoms per cm3 of the given compound (layer)
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:type compound_dict: dict
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | calculate_linear_attenuation_coefficient | def calculate_linear_attenuation_coefficient(atoms_per_cm3: np.float, sigma_b: np.array):
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transmission = exp( - thickness_cm * atoms_per_cm3 * 1e-24 * sigma_b)
Parameters:
===========
thickness: float (in cm)
atoms_per_cm3: float (number o... | python | def calculate_linear_attenuation_coefficient(atoms_per_cm3: np.float, sigma_b: np.array):
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===========
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | calculate_trans | def calculate_trans(thickness_cm: np.float, miu_per_cm: np.array):
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transmission = exp( - thickness_cm * atoms_per_cm3 * 1e-24 * sigma_b)
Parameters:
===========
thickness: float (in cm)
atoms_per_cm3: float (number of atoms per cm3 of elem... | python | def calculate_trans(thickness_cm: np.float, miu_per_cm: np.array):
"""calculate the transmission signal using the formula
transmission = exp( - thickness_cm * atoms_per_cm3 * 1e-24 * sigma_b)
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | calculate_transmission | def calculate_transmission(thickness_cm: np.float, atoms_per_cm3: np.float, sigma_b: np.array):
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===========
thickness: float (in cm)
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | set_distance_units | def set_distance_units(value=np.NaN, from_units='mm', to_units='cm'):
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===========
value: float. value to convert
from_units: string. Must be 'mm', 'cm' or 'm'
to_units: string. must be 'mm','cm' or 'm'
Returns:
========
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===========
value: float. value to convert
from_units: string. Must be 'mm', 'cm' or 'm'
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | ev_to_s | def ev_to_s(offset_us, source_to_detector_m, array):
# delay values is normal 2.99 us with NONE actual MCP delay settings
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===========
array: array (in eV)
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# delay values is normal 2.99 us with NONE actual MCP delay settings
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | s_to_ev | def s_to_ev(offset_us, source_to_detector_m, array):
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===========
numpy array of time in s
offset_us: float. Delay of detector in us
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===========
numpy array of time in s
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ornlneutronimaging/ImagingReso | ImagingReso/_utilities.py | ev_to_image_number | def ev_to_image_number(offset_us, source_to_detector_m, time_resolution_us, t_start_us, array):
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numpy array of energy in eV
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Numigi/gitoo | src/core.py | temp_repo | def temp_repo(url, branch, commit=''):
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""" Clone a git repository inside a temporary folder, yield the folder then delete the folder.
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Numigi/gitoo | src/core.py | _run_command_inside_folder | def _run_command_inside_folder(command, folder):
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:param string command: the command to execute.
:param string folder: the folder where to execute the command.
:return: the return code of the process.
:rtype: Tuple[int, str]
"""
logger.debug("command... | python | def _run_command_inside_folder(command, folder):
"""Run a command inside the given folder.
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Numigi/gitoo | src/core.py | parse_url | def parse_url(url):
""" Parse the given url and update it with environment value if required.
:param basestring url:
:rtype: basestring
:raise: KeyError if environment variable is needed but not found.
"""
# the url has to be a unicode by pystache's design, but the unicode concept has been rewa... | python | def parse_url(url):
""" Parse the given url and update it with environment value if required.
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Numigi/gitoo | src/core.py | Addon.install | def install(self, destination):
""" Install a third party odoo add-on
:param string destination: the folder where the add-on should end up at.
"""
logger.info(
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""" Install a third party odoo add-on
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Numigi/gitoo | src/core.py | Addon._is_module_included | def _is_module_included(self, module):
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Numigi/gitoo | src/core.py | Patch.apply | def apply(self, folder):
""" Merge code from the given repo url to the git repo contained in the given folder.
:param string folder: path of the folder where is the git repo cloned at.
:raise: RuntimeError if the patch could not be applied.
"""
logger.info("Apply Patch %s@%s (co... | python | def apply(self, folder):
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"""Apply a patch from a git patch file.
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logger.info("Apply Patch File %s", self.file_path)
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"""Apply a patch from a git patch file.
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._set_up_context | def _set_up_context(cls):
"""Create context to keep all needed variables in."""
cls.context = AttributeDict()
cls.context.new_meta = {}
cls.context.new_transitions = {}
cls.context.new_methods = {} | python | def _set_up_context(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._check_states_enum | def _check_states_enum(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._check_state_value | def _check_state_value(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._add_standard_attributes | def _add_standard_attributes(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._generate_standard_transitions | def _generate_standard_transitions(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._generate_standard_methods | def _generate_standard_methods(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._add_new_methods | def _add_new_methods(cls):
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beregond/super_state_machine | super_state_machine/machines.py | StateMachineMetaclass._set_complete_option | def _set_complete_option(cls):
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"""Check and set complete option."""
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BlueBrain/nat | nat/utils.py | data_directory | def data_directory():
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rapidpro/expressions | python/temba_expressions/conversions.py | to_boolean | def to_boolean(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_decimal | def to_decimal(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_string | def to_string(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_date | def to_date(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_datetime | def to_datetime(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_date_or_datetime | def to_date_or_datetime(value, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | to_same | def to_same(value1, value2, ctx):
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rapidpro/expressions | python/temba_expressions/conversions.py | format_decimal | def format_decimal(decimal):
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lablup/backend.ai-common | src/ai/backend/common/identity.py | is_containerized | def is_containerized() -> bool:
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Check if I am running inside a Linux container.
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lablup/backend.ai-common | src/ai/backend/common/identity.py | detect_cloud | def detect_cloud() -> str:
'''
Detect the cloud provider where I am running on.
'''
# NOTE: Contributions are welcome!
# Please add other cloud providers such as Rackspace, IBM BlueMix, etc.
if sys.platform.startswith('linux'):
# Google Cloud Platform or Amazon AWS (hvm)
try:
... | python | def detect_cloud() -> str:
'''
Detect the cloud provider where I am running on.
'''
# NOTE: Contributions are welcome!
# Please add other cloud providers such as Rackspace, IBM BlueMix, etc.
if sys.platform.startswith('linux'):
# Google Cloud Platform or Amazon AWS (hvm)
try:
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siboles/pyFEBio | febio/MatDef.py | MatDef.addBlock | def addBlock(self,branch=None,btype=None,mtype=None,attributes=None):
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RI-imaging/nrefocus | nrefocus/_propagate.py | refocus | def refocus(field, d, nm, res, method="helmholtz", num_cpus=1, padding=True):
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Parameters
----------
field : 1d or 2d array
1D or 2D background corrected electric field (Ex/BEx)
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Distance to be propagated in pixels (negative for backwards)
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1D or 2D background corrected electric field (Ex/BEx)
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Distance to be propagated in pixels (negative for backwards)
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RI-imaging/nrefocus | nrefocus/_propagate.py | refocus_stack | def refocus_stack(fieldstack, d, nm, res, method="helmholtz",
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"""Refocus a stack of 1D or 2D fields
Parameters
----------
fieldstack : 2d or 3d array
Stack of 1D or 2D background corrected electric fields (Ex/BEx).
The fi... | python | def refocus_stack(fieldstack, d, nm, res, method="helmholtz",
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RI-imaging/nrefocus | nrefocus/_propagate.py | fft_propagate | def fft_propagate(fftfield, d, nm, res, method="helmholtz",
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"""Propagates a 1D or 2D Fourier transformed field
Parameters
----------
fftfield : 1-dimensional or 2-dimensional ndarray
Fourier transform of 1D Electric field component
d : float
Distan... | python | def fft_propagate(fftfield, d, nm, res, method="helmholtz",
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Parameters
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fftfield : 1-dimensional or 2-dimensional ndarray
Fourier transform of 1D Electric field component
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RI-imaging/nrefocus | nrefocus/_propagate.py | fft_propagate_2d | def fft_propagate_2d(fftfield, d, nm, res, method="helmholtz",
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"""Propagate a 1D Fourier transformed field in 2D
Parameters
----------
fftfield : 1d array
Fourier transform of 1D Electric field component
d : float
Distance to be propagated in p... | python | def fft_propagate_2d(fftfield, d, nm, res, method="helmholtz",
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fftfield : 1d array
Fourier transform of 1D Electric field component
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RI-imaging/nrefocus | nrefocus/_propagate.py | fft_propagate_3d | def fft_propagate_3d(fftfield, d, nm, res, method="helmholtz",
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"""Propagate a 2D Fourier transformed field in 3D
Parameters
----------
fftfield : 2d array
Fourier transform of 2D Electric field component
d : float
Distance to be propagated in p... | python | def fft_propagate_3d(fftfield, d, nm, res, method="helmholtz",
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fftfield : 2d array
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BlueBrain/nat | nat/gitManager.py | GitManager.push | def push(self):
"""
Adding the no_thin argument to the GIT push because we had some issues pushing previously.
According to http://stackoverflow.com/questions/16586642/git-unpack-error-on-push-to-gerrit#comment42953435_23610917,
"a new optimization which causes git to send as little d... | python | def push(self):
"""
Adding the no_thin argument to the GIT push because we had some issues pushing previously.
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