code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from typing import Optional, List, Dict, Any
from pydantic import BaseModel, Extra, validator, Field
from racetrack_client.utils.quantity import Quantity
class GitManifest(BaseModel, extra=Extra.forbid):
# URL of git remote: HTTPS, SSH or directory path to a remote repository
remote: str
branch: Optiona... | /racetrack-client-2.18.0.tar.gz/racetrack-client-2.18.0/racetrack_client/manifest/manifest.py | 0.863564 | 0.195019 | manifest.py | pypi |
from pathlib import Path
from typing import Dict, Optional
import yaml
from racetrack_client.log.context_error import wrap_context
from racetrack_client.manifest.manifest import Manifest
from racetrack_client.utils.datamodel import parse_dict_datamodel, parse_yaml_datamodel, convert_to_yaml
from racetrack_client.log.l... | /racetrack-client-2.18.0.tar.gz/racetrack-client-2.18.0/racetrack_client/manifest/load.py | 0.772101 | 0.152537 | load.py | pypi |
import json
import platform
from hal import __version__ as hal_version
from hal.data.dicts import get_inner_data
from hal.streams.markdown import MarkdownTable
from hal.streams.pretty_table import SqlTable
class BugReporter:
"""Generates reports on module installation"""
def __init__(self):
self.repo... | /raceup-peeper-0.0.1.tar.gz/raceup-peeper-0.0.1/peeper/help.py | 0.485112 | 0.176228 | help.py | pypi |
RACHE
=====
.. image:: https://travis-ci.org/brutasse/rache.png?branch=master
:alt: Build Status
:target: https://travis-ci.org/brutasse/rache
A scheduler backed by `Redis`_ with a very simple interface.
.. _Redis: http://redis.io/
RACHE doesn't handle job execution. It only maintains a list of jobs and their... | /rache-0.3.1.tar.gz/rache-0.3.1/README.rst | 0.876436 | 0.685667 | README.rst | pypi |
===========
racing_data
===========
This project aims to provide horse racing data management and analysis services in Python.
.. image:: https://travis-ci.org/justjasongreen/racing_data.svg?branch=master
:target: https://travis-ci.org/justjasongreen/racing_data
:alt: Build Status
.. image:: https://coveral... | /racing_data-1.0.0b10.tar.gz/racing_data-1.0.0b10/README.rst | 0.89324 | 0.739822 | README.rst | pypi |
from threading import RLock
import pytz
import tzlocal
from . import Meet, Race, Runner, Horse, Jockey, Trainer, Performance
class Provider:
"""Provide managed access to racing data"""
def __init__(self, database, scraper, local_timezone=tzlocal.get_localzone()):
self.database = database
s... | /racing_data-1.0.0b10.tar.gz/racing_data-1.0.0b10/racing_data/provider.py | 0.772616 | 0.312573 | provider.py | pypi |
from datetime import timedelta
import math
from . import Entity, PerformanceList
from .constants import ALTERNATIVE_TRACK_NAMES, BARRIER_WIDTH, HORSE_WEIGHT
class Runner(Entity):
"""A runner represents a single combination of horse, jockey and trainer competing in a race"""
def __str__(self):
retur... | /racing_data-1.0.0b10.tar.gz/racing_data-1.0.0b10/racing_data/runner.py | 0.897145 | 0.457016 | runner.py | pypi |
import math
from . import Entity
from .constants import BARRIER_WIDTH, HORSE_WEIGHT, METRES_PER_LENGTH
class Performance(Entity):
"""A performance represents the result of a completed run for a horse/jockey"""
def __str__(self):
return 'performance for {horse} at {track} on {date:%Y-%m-%d}'.format(... | /racing_data-1.0.0b10.tar.gz/racing_data-1.0.0b10/racing_data/performance.py | 0.847053 | 0.407216 | performance.py | pypi |
class PerformanceList(list):
"""A performance list provides statistical analysis functionality for a list of performances"""
@property
def earnings(self):
"""Return the total prize money for the performances in this list"""
prize_monies = [performance['prize_money'] for performance in self... | /racing_data-1.0.0b10.tar.gz/racing_data-1.0.0b10/racing_data/performance_list.py | 0.906906 | 0.770206 | performance_list.py | pypi |
from datetime import datetime, timedelta
from argparse import ArgumentParser, Namespace
from pathlib import Path
from operator import itemgetter
ABBR_FILE = 'abbreviations.txt'
START_LOG_FILE = 'start.log'
END_LOG_FILE = 'end.log'
PRINT_REPORT_DELIM = 15
def read_file(filepath: Path) -> list:
"""
Reads the c... | /racing_report_swaghettie-0.0.3-py3-none-any.whl/racing_report_package/racing_report.py | 0.835047 | 0.449513 | racing_report.py | pypi |
import logging
import os
import sys
import time
from pathlib import Path
from typing import Optional, Tuple, Union
from postroj.settings import get_appsettings
from postroj.util import find_rootfs, fix_tty, hcmd, mask_logging, noop, print_header
logger = logging.getLogger(__name__)
class PostrojContainer:
"""
... | /racker-0.3.0-py3-none-any.whl/postroj/container.py | 0.677794 | 0.204005 | container.py | pypi |
Rackfocus
=========
Rackfocus (or rackfocus) is a CLI tool to compile IMDb datasets into a convenient SQLite database for easy consumption.
IMDb provides open access to an assortment of their data for non-commercial use. This data is packaged in TSV files that are available to download without any authentication. See... | /rackfocus-1.1.0.tar.gz/rackfocus-1.1.0/README.rst | 0.907739 | 0.670256 | README.rst | pypi |
from random import randint
from rcbu.common.assertions import assert_bounded, assert_is_none
from rcbu.common.weekdays import Weekdays
class ScheduleFrequency(object):
"""A mock enum (PEP 435) for supported schedule frequencies."""
Manual = 0
Monthly = 1
Weekly = 2
Daily = 3
Hourly = 4
_... | /rackspace_backup_client-0.19.3-py33-none-any.whl/rcbu/common/schedule.py | 0.946417 | 0.607052 | schedule.py | pypi |
import rcbu.common.status as status
import rcbu.common.activity as activity
from rcbu.common.http import Http
_predicates = {
"backup_history": lambda j: j['Type'] == 'Backup' and not _is_running(j),
"restore_history": lambda j: j['Type'] == 'Restore' and not _is_running(j),
"cleanup_history": lambda j: j... | /rackspace_backup_client-0.19.3-py33-none-any.whl/rcbu/common/activity_mixin.py | 0.492676 | 0.227899 | activity_mixin.py | pypi |
class Edge:
def __init__(self, trans, state, voided):
self.trans = trans
self.state = state
self.voided = voided
class State:
def __init__(self, edges, match):
self.edges = edges
self.match = match
class FA:
VOID = 0
PRUNE = 1
LEFT = 2
POS = 3
NEG... | /rackspace-monitoring-cli-0.7.3.tar.gz/rackspace-monitoring-cli-0.7.3/raxmon_cli/waxeye.py | 0.525856 | 0.373876 | waxeye.py | pypi |
from __future__ import print_function
import argparse
from neutronclient._i18n import _
from neutronclient.neutron import v2_0 as neutronV20
from neutronclient.neutron.v2_0 import dns
class ListFloatingIP(neutronV20.ListCommand):
"""List floating IPs that belong to a given tenant."""
resource = 'floatingi... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/neutron/v2_0/floatingip.py | 0.816955 | 0.156008 | floatingip.py | pypi |
from neutronclient._i18n import _
from neutronclient.neutron import v2_0 as neutronV20
class ListAddressScope(neutronV20.ListCommand):
"""List address scopes that belong to a given tenant."""
resource = 'address_scope'
list_columns = ['id', 'name', 'ip_version']
pagination_support = True
sorting... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/neutron/v2_0/address_scope.py | 0.836921 | 0.167661 | address_scope.py | pypi |
from neutronclient._i18n import _
from neutronclient.neutron import v2_0 as neutronv20
class ListMeteringLabel(neutronv20.ListCommand):
"""List metering labels that belong to a given tenant."""
resource = 'metering_label'
list_columns = ['id', 'name', 'description', 'shared']
pagination_support = Tr... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/neutron/v2_0/metering.py | 0.876608 | 0.197812 | metering.py | pypi |
from cliff import show
import six
from neutronclient._i18n import _
from neutronclient.neutron import v2_0 as neutronV20
class ListIpAvailability(neutronV20.ListCommand):
"""List IP usage of networks"""
resource = 'network_ip_availability'
resource_plural = 'network_ip_availabilities'
list_columns ... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/neutron/v2_0/network_ip_availability.py | 0.61659 | 0.160102 | network_ip_availability.py | pypi |
from __future__ import print_function
from neutronclient._i18n import _
from neutronclient.neutron import v2_0 as neutronV20
class ListHealthMonitor(neutronV20.ListCommand):
"""List health monitors that belong to a given tenant."""
resource = 'health_monitor'
list_columns = ['id', 'type', 'admin_state_... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/neutron/v2_0/lb/healthmonitor.py | 0.853882 | 0.231832 | healthmonitor.py | pypi |
import argparse
import functools
import hashlib
import logging
import netaddr
import os
from oslo_utils import encodeutils
from oslo_utils import importutils
import six
from neutronclient._i18n import _
from neutronclient.common import exceptions
SENSITIVE_HEADERS = ('X-Auth-Token',)
def env(*vars, **kwargs):
... | /rackspace-python-neutronclient-2.5.3.tar.gz/rackspace-python-neutronclient-2.5.3/neutronclient/common/utils.py | 0.618089 | 0.155784 | utils.py | pypi |
from openstack.database.v1 import flavor
from openstack import resource
from openstack import utils
from rackspace.database import database_service
class HighAvailabilityInstance(resource.Resource):
base_path = 'ha'
resource_key = 'ha_instance'
resources_key = 'ha_instances'
service = database_servic... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/database/v1/high_availability_instance.py | 0.755096 | 0.202483 | high_availability_instance.py | pypi |
from openstack.database.v1 import _proxy
from openstack.database.v1 import database
from openstack.database.v1 import flavor
from openstack.database.v1 import instance
from openstack.database.v1 import user
from rackspace.database import database_service
from rackspace.database.v1 import backup
from rackspace.databas... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/database/v1/_proxy.py | 0.833426 | 0.269443 | _proxy.py | pypi |
from openstack import proxy
from rackspace.backup.v1 import activity
from rackspace.backup.v1 import agent
from rackspace.backup.v1 import backup_configuration
from rackspace.backup.v1 import restore_configuration
class Proxy(proxy.BaseProxy):
def activities(self, **query):
"""Return a generator of acti... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/backup/v1/_proxy.py | 0.902463 | 0.385057 | _proxy.py | pypi |
from openstack import resource
from openstack import utils
from rackspace.backup import backup_service
class BackupConfiguration(resource.Resource):
id_attribute = 'BackupConfigurationId'
base_path = 'backup-configuration'
service = backup_service.BackupService()
# capabilities
allow_create = Tr... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/backup/v1/backup_configuration.py | 0.780077 | 0.23975 | backup_configuration.py | pypi |
from openstack import format
from openstack import resource
from openstack import utils
from rackspace.monitoring import monitoring_service
class Check(resource.Resource):
base_path = '/entities/%(entity_id)s/checks'
resources_key = 'values'
service = monitoring_service.MonitoringService()
# capabil... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/monitoring/v1/check.py | 0.799873 | 0.201656 | check.py | pypi |
from openstack import format
from openstack import resource
from openstack import utils
from rackspace.monitoring import monitoring_service
class Entity(resource.Resource):
base_path = 'entities'
resources_key = 'values'
service = monitoring_service.MonitoringService()
# capabilities
allow_creat... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/monitoring/v1/entity.py | 0.824391 | 0.291334 | entity.py | pypi |
from openstack import proxy
from openstack import resource
from rackspace.monitoring.v1 import agent as _agent
from rackspace.monitoring.v1 import agent_token as _agent_token
from rackspace.monitoring.v1 import alarm as _alarm
from rackspace.monitoring.v1 import check as _check
from rackspace.monitoring.v1 import chec... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/monitoring/v1/_proxy.py | 0.814053 | 0.320376 | _proxy.py | pypi |
from openstack import resource
from openstack import utils
from rackspace.monitoring import monitoring_service
class Agent(resource.Resource):
base_path = 'agents'
resources_key = 'values'
service = monitoring_service.MonitoringService()
# capabilities
allow_list = True
allow_retrieve = True... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/monitoring/v1/agent.py | 0.78316 | 0.230573 | agent.py | pypi |
from openstack import format
from openstack import resource
from openstack import utils
from rackspace.monitoring import monitoring_service
class Alarm(resource.Resource):
base_path = '/entities/%(entity_id)s/alarms'
resources_key = 'values'
service = monitoring_service.MonitoringService()
# capabil... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/monitoring/v1/alarm.py | 0.60778 | 0.166303 | alarm.py | pypi |
from openstack import proxy2
from openstack import resource2
from rackspace.load_balancer.v1 import load_balancer as _load_balancer
from rackspace.load_balancer.v1 import ssl_termination
class Proxy(proxy2.BaseProxy):
def __init__(self, session):
super(Proxy, self).__init__(session)
def load_balan... | /rackspacesdk-0.7.5.tar.gz/rackspacesdk-0.7.5/rackspace/load_balancer/v1/_proxy.py | 0.879509 | 0.175256 | _proxy.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /racm_distributions-0.1.tar.gz/racm_distributions-0.1/racm_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
import os
from pathlib import Path
import json
from typing import Union, List, Tuple
from .utils import download_url, extract_zip
def download_yes_no_vqa_data(dataroot: str = 'data/', overwrite: bool = False):
"""Download and extract our dataset to `<dataroot>/yes-no_vqa/`."""
url = 'https://rad-measure.s3.... | /rad_measure-0.0.1-py3-none-any.whl/rad_measure/vqa_utils.py | 0.827654 | 0.498596 | vqa_utils.py | pypi |
from argparse import ArgumentParser
import matplotlib.pyplot as plt
import numpy as np
import yaml
def plot(file, kp=None, constant=1, on="output"):
data_file = open(file, "r")
data = yaml.load(data_file, Loader=yaml.FullLoader)
data_file.close()
X = []
Y = []
K_points = []
miny = None
... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/scripts/phonopy-plotter.py | 0.599837 | 0.257473 | phonopy-plotter.py | pypi |
from argparse import ArgumentParser, RawTextHelpFormatter
from subprocess import run
def J_values(FM, AFM1, AFM2, AFM3):
J2 = -(FM - AFM1) * 13605 / 8 / 8
J3 = -(FM - AFM2) * 13605 / 2 / 2 / 8 - J2
J1 = -(AFM2 - AFM3) * 13605 / 8 / 2 / 8 + J3
return J1, J2, J3
def compute(filename):
FM = {}
... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/scripts/compute-energies.py | 0.569015 | 0.321606 | compute-energies.py | pypi |
r"""
Collection of small routines and constants,
which are used across the whole package.
It's purpose is to serve as an "other" folder.
"""
from radtools.crystal.constants import ABS_TOL, REL_TOL
__all__ = [
"compare_numerically",
]
def compare_numerically(x, condition, y, eps=None, rtol=REL_TOL, atol=ABS_TO... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/numerical.py | 0.836154 | 0.676856 | numerical.py | pypi |
from math import cos, sqrt
import numpy as np
from scipy.spatial.transform import Rotation
from radtools.constants import TODEGREES, TORADIANS
from radtools.crystal.constants import ABS_TOL, ABS_TOL_ANGLE
from radtools.numerical import compare_numerically
__all__ = [
"volume",
"angle",
"parallelepiped_ch... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/geometry.py | 0.930663 | 0.717705 | geometry.py | pypi |
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy.spatial.transform import Rotation
from radtools.crystal.kpoints import Kpoints
from radtools.geometry import span_orthonormal_set
from radtools.magnons.diagonalization import ColpaFailed, solve_via_colpa
from radtools.spinham.hamiltonian im... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/magnons/dispersion.py | 0.920034 | 0.64225 | dispersion.py | pypi |
import numpy as np
from numpy.linalg import LinAlgError
from radtools.exceptions import ColpaFailed
__all__ = ["solve_via_colpa"]
def solve_via_colpa(D):
r"""
Diagonalize grand-dynamical matrix following the method of Colpa [1]_.
Algorithm itself is described in section 3, Remark 1 of [1]_.
Solves... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/magnons/diagonalization.py | 0.917889 | 0.938913 | diagonalization.py | pypi |
from os.path import abspath, isfile, join
import matplotlib.pyplot as plt
import numpy as np
from termcolor import cprint
from radtools.decorate.axes import plot_hlines, plot_vlines
from radtools.decorate.colormap import custom_cmap
from radtools.dos.dos import prepare_custom_pdos
from radtools.dos.pdos import PDOS
f... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/dos/fatbands_plotting.py | 0.628179 | 0.283651 | fatbands_plotting.py | pypi |
import matplotlib.pyplot as plt
import numpy as np
from radtools.decorate.axes import plot_hlines, plot_vlines
from radtools.dos.pdos import PDOS
__all__ = ["COLOURS", "plot_projected"]
COLOURS = [
"#00FFFF",
"#FF9720",
"#CD00FF",
"#FFFF2B",
"#00B9FF",
"#FF163D",
"#79FF35",
"#FF0BEA",... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/dos/plotting.py | 0.641198 | 0.389314 | plotting.py | pypi |
from os import makedirs
from os.path import abspath, isfile, join
from termcolor import cprint
from tqdm import tqdm
from radtools.dos.dos import prepare_custom_pdos
from radtools.dos.pdos import PDOS
from radtools.dos.plotting import COLOURS, plot_projected
__all__ = [
"plot_custom_pdos",
"plot_orbital_reso... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/dos/pdos_plotting.py | 0.502197 | 0.223335 | pdos_plotting.py | pypi |
r"""
PDOS
"""
import re
from copy import deepcopy
import numpy as np
class PDOS:
r"""
Partial density of states, projected on arbitrary projections.
Supports k-resolved density of states.
Support spin-polarised and spin-unpolarised cases.
PDOS class is iterable (over :py:attr:`.projectors`) an... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/dos/pdos.py | 0.922207 | 0.66386 | pdos.py | pypi |
r"""
Input-output for the files related with this package.
"""
__all__ = ["read_template"]
from radtools.spinham.template import ExchangeTemplate
def read_template(filename):
r"""
Read template from the template file.
See :ref:`template-draft` for the description of the template file format.
Param... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/io/internal.py | 0.798737 | 0.398582 | internal.py | pypi |
r"""
Input-output from |TB2J|_.
"""
__all__ = ["read_tb2j_model"]
import numpy as np
from radtools.crystal.constants import REL_TOL
from radtools.spinham.hamiltonian import SpinHamiltonian
def read_tb2j_model(filename, quiet=True, bravais_type=None) -> SpinHamiltonian:
r"""
Read spin Hamiltonian from |TB2J|... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/io/tb2j.py | 0.863046 | 0.666718 | tb2j.py | pypi |
from calendar import month_name
from datetime import datetime
from radtools import __doclink__, __git_hash__, __release_date__, __version__
__all__ = ["logo", "stamp_line", "license"]
def logo(info=None, line_length=71, flat=False, date_time=False):
"""
Logo generator for rad-tools package.
Returns the... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/decorate/stats.py | 0.755547 | 0.193204 | stats.py | pypi |
import numpy as np
from termcolor import colored
__all__ = ["print_2d_array"]
def print_2d_array(
array,
fmt=">.2f",
highlight=False,
print_result=True,
borders=True,
shift=0,
header_row=None,
footer_row=None,
header_column=None,
footer_column=None,
):
r"""
Print 1D an... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/decorate/array.py | 0.666931 | 0.414958 | array.py | pypi |
r"""
General 3D lattice.
"""
from typing import Iterable
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rcParams
from matplotlib.patches import FancyArrowPatch
from mpl_toolkits.mplot3d import Axes3D, proj3d
from scipy.spatial import Voronoi
import radtools.crystal.cell as Cell
from radtoo... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/lattice.py | 0.947974 | 0.619586 | lattice.py | pypi |
r"""
General 3D lattice.
"""
from typing import Iterable
import numpy as np
from radtools.geometry import absolute_to_relative
__all__ = ["Kpoints"]
class Kpoints:
r"""
K-point path.
Parameters
----------
b1 : (3,) array_like
First reciprocal lattice vector :math:`\mathbf{b}_1`.
b... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/kpoints.py | 0.950606 | 0.757088 | kpoints.py | pypi |
from math import cos, pi, sin, sqrt
import numpy as np
from radtools.constants import TORADIANS
from radtools.geometry import angle, parallelepiped_check, volume
__all__ = [
"reciprocal",
"from_params",
"params",
"primitive",
]
def reciprocal(cell):
r"""
Computes reciprocal cell.
.. ve... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/cell.py | 0.917783 | 0.797793 | cell.py | pypi |
from math import floor, log10
from typing import Union
import numpy as np
import radtools.crystal.cell as Cell
from radtools.crystal.atom import Atom
from radtools.crystal.lattice import Lattice
from radtools.crystal.properties import dipole_dipole_energy, dipole_dipole_interaction
from radtools.geometry import absol... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/crystal.py | 0.940449 | 0.591251 | crystal.py | pypi |
r"""Atom class"""
from typing import Iterable
import numpy as np
from radtools.crystal.constants import ATOM_TYPES
class Atom:
r"""
Atom class.
Notes
-----
"==" (and "!=") operation compare two atoms based on their names and indexes.
If index of one atom is not define, then comparison rais... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/atom.py | 0.932599 | 0.719907 | atom.py | pypi |
from math import pi
import numpy as np
from tqdm import tqdm
__all__ = ["dipole_dipole_energy", "dipole_dipole_interaction"]
CONSTANT = 1.25663706212 * 9.2740100783**2 * 6.241509074 / 1000 / 4 / pi
def dipole_dipole_energy(magnetic_centres, progress_bar=True, normalize=True):
r"""
Computes magnetic dipole-... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/properties.py | 0.913749 | 0.783616 | properties.py | pypi |
r"""
Crystal/lattice identification.
"""
from math import acos, cos, floor, log10, sqrt
import numpy as np
from termcolor import cprint
import radtools.crystal.cell as Cell
from radtools.constants import TODEGREES, TORADIANS
from radtools.decorate.array import print_2d_array
from radtools.geometry import volume
from... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/identify.py | 0.927273 | 0.625753 | identify.py | pypi |
from math import cos, sin
from radtools.constants import TORADIANS
from radtools.numerical import compare_numerically
__all__ = [
"BCT_variation",
"ORCF_variation",
"RHL_variation",
"MCLC_variation",
"TRI_variation",
]
def BCT_variation(conv_a: float, conv_c: float):
r"""
Two variations ... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/bravais_lattice/variations.py | 0.941136 | 0.83752 | variations.py | pypi |
from math import cos, pi, sin
from radtools.constants import TORADIANS
from radtools.crystal.bravais_lattice.constructor import (
BCC,
BCT,
CUB,
FCC,
HEX,
MCL,
MCLC,
ORC,
ORCC,
ORCF,
ORCI,
RHL,
TET,
TRI,
)
from radtools.crystal.constants import BRAVAIS_LATTICE_VA... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/bravais_lattice/examples.py | 0.853669 | 0.495545 | examples.py | pypi |
import numpy as np
import radtools.crystal.cell as Cell
from radtools.crystal.constants import (
ABS_TOL,
ABS_TOL_ANGLE,
REL_TOL,
TRANSFORM_TO_CONVENTIONAL,
)
from radtools.numerical import compare_numerically
__all__ = [
"standardize_cell",
"CUB_standardize_cell",
"FCC_standardize_cell",
... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/bravais_lattice/standardize.py | 0.873161 | 0.649311 | standardize.py | pypi |
from math import cos, sin, sqrt
import numpy as np
import radtools.crystal.cell as Cell
from radtools.constants import TORADIANS
from radtools.crystal.lattice import Lattice
__all__ = [
"CUB",
"FCC",
"BCC",
"TET",
"BCT",
"ORC",
"ORCF",
"ORCI",
"ORCC",
"HEX",
"RHL",
"MC... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/bravais_lattice/constructor.py | 0.955724 | 0.749592 | constructor.py | pypi |
from math import cos, sin, tan
import numpy as np
from radtools.constants import TORADIANS
__all__ = [
"CUB_hs_points",
"FCC_hs_points",
"BCC_hs_points",
"TET_hs_points",
"BCT_hs_points",
"ORC_hs_points",
"ORCF_hs_points",
"ORCI_hs_points",
"ORCC_hs_points",
"HEX_hs_points",
... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/crystal/bravais_lattice/hs_points.py | 0.925179 | 0.566978 | hs_points.py | pypi |
from argparse import ArgumentParser
from math import asin, pi, sqrt
import os
import numpy as np
from matplotlib import pyplot as plt
from termcolor import cprint
from radtools.constants import TODEGREES
from radtools.io.internal import read_template
from radtools.io.tb2j import read_tb2j_model
def rot_angle(x, y, ... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/plot_tb2j.py | 0.88765 | 0.577495 | plot_tb2j.py | pypi |
from argparse import ArgumentParser
import os
from termcolor import cprint
from radtools.dos.dos import DOSQE, detect_seednames
from radtools.dos.pdos_plotting import (
plot_atom_resolved,
plot_atom_to_total,
plot_custom_pdos,
plot_orbital_resolved,
)
from radtools.dos.plotting import COLOURS
def ma... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/plot_dos.py | 0.797281 | 0.397763 | plot_dos.py | pypi |
from argparse import ArgumentParser
import os
from termcolor import cprint
from radtools.dos.dos import DOSQE, detect_seednames
from radtools.dos.fatbands_plotting import plot_custom_fatbands
from radtools.dos.plotting import COLOURS
def manager(
input_folder=".",
seedname=None,
output_name="",
ener... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/plot_fatbands.py | 0.827654 | 0.324085 | plot_fatbands.py | pypi |
from argparse import ArgumentParser
import os
from termcolor import cprint
from radtools.io.internal import read_template
from radtools.io.tb2j import read_tb2j_model
def manager(
input_filename,
template_file=None,
output_name=None,
decimals=4,
form_model=False,
no_anisotropic=False,
no... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/extract_tb2j.py | 0.820073 | 0.332053 | extract_tb2j.py | pypi |
from argparse import ArgumentParser
import os
import matplotlib.pyplot as plt
import numpy as np
from termcolor import cprint
from radtools.io.internal import read_template
from radtools.io.tb2j import read_tb2j_model
from radtools.magnons.dispersion import MagnonDispersion
from radtools.decorate.stats import logo
fr... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/plot_tb2j_magnons.py | 0.855987 | 0.511229 | plot_tb2j_magnons.py | pypi |
from argparse import ArgumentParser
from calendar import month_name
from datetime import datetime
import os
import numpy as np
from termcolor import cprint
from radtools import __version__ as version
from radtools.io.tb2j import read_tb2j_model
from radtools.decorate.stats import logo
def manager(
output_name="... | /rad-tools-0.8.0.tar.gz/rad-tools-0.8.0/radtools/score/make_template.py | 0.818447 | 0.504761 | make_template.py | pypi |
from pymongo.database import Database
from typing import TypedDict, Optional
import datetime as dt
from enum import Enum
class OptionType(str, Enum):
P: str = "P"
C: str = "C"
class OpenInterestDocument(TypedDict):
open_interest: float
option_type: OptionType
strike: str
class OpenInterestQuer... | /radar_mongodb-0.4.0-py3-none-any.whl/radar_mongodb/collections/open_interest.py | 0.745028 | 0.247106 | open_interest.py | pypi |
from .api import ApiRequester
class RadarClient:
"""The RadarClient class provides convenient access to Radar's API.
API endpoints with authentication level Publishable are safe to call client-side.
You should use your publishable API keys to call these endpoints. Use your Test
Publishable key for te... | /radar_python-0.0.4-py3-none-any.whl/radar/__init__.py | 0.912136 | 0.253321 | __init__.py | pypi |
from radar.models.geofence import Geofence
from radar.models.user import User
from radar.models.event import Event
from radar.models.context import RadarContext
from radar.models.address import Address
from radar.models.region import Regions
from radar.models.place import Place
from radar.models.route import Routes
fr... | /radar_python-0.0.4-py3-none-any.whl/radar/endpoints.py | 0.809728 | 0.292741 | endpoints.py | pypi |
from .model import Model
class RouteDistance:
"""Travel distance of the route
Parameters:
value (str): value of distance in requested units
text (str): human readable distance
"""
def __init__(self, value, text):
self.value = value
self.text = text
def __repr... | /radar_python-0.0.4-py3-none-any.whl/radar/models/route.py | 0.919063 | 0.369372 | route.py | pypi |
from .model import Model
from radar.models.geofence import Geofence
from radar.models.place import Place
class User(Model):
"""A user represents a user tracked in your project. Users can be referenced by Radar _id, userId, or deviceId.
Parameters:
_id (string): A unique ID for the user, provided by R... | /radar_python-0.0.4-py3-none-any.whl/radar/models/user.py | 0.924236 | 0.287286 | user.py | pypi |
from enum import Enum
from typing import Union
class Label(Enum):
"""
The Labels enum contains all semantic labels available in the data set.
"""
CAR = 0
LARGE_VEHICLE = 1
TRUCK = 2
BUS = 3
TRAIN = 4
BICYCLE = 5
MOTORIZED_TWO_WHEELER = 6
PEDESTRIAN = 7
PEDESTRIAN_GROUP ... | /radar_scenes-1.0.3.tar.gz/radar_scenes-1.0.3/radar_scenes/labels.py | 0.901394 | 0.588712 | labels.py | pypi |
import numpy as np
def batch_transform_3d_vector(trafo_matrix: np.ndarray, vec: np.ndarray) -> np.ndarray:
"""
Applies a 3x3 transformation matrix to every (1,3) vector contained in vec.
Vec has shape (n_vec, 3)
:param trafo_matrix: numpy array with shape (3,3)
:param vec: numpy array with shape (... | /radar_scenes-1.0.3.tar.gz/radar_scenes-1.0.3/radar_scenes/coordinate_transformation.py | 0.90584 | 0.959193 | coordinate_transformation.py | pypi |
import os
import h5py
import json
from typing import Union, List
from radar_scenes.scene import Scene
class Sequence:
"""
Wrapper class for a measurement sequence.
Usually, this class should be constructed from a *.json file from the RadarScenes dataset.
"""
def __init__(self):
self.seque... | /radar_scenes-1.0.3.tar.gz/radar_scenes-1.0.3/radar_scenes/sequence.py | 0.895637 | 0.472805 | sequence.py | pypi |
import os
from radar_scenes.sequence import Sequence
import numpy as np
def main():
# MODIFY THIS LINE AND INSERT PATH WHERE YOU STORED THE RADARSCENES DATASET
path_to_dataset = "/home/USERNAME/datasets/RadarScenes"
# Define the *.json file from which data should be loaded
# some random sequence is ... | /radar_scenes-1.0.3.tar.gz/radar_scenes-1.0.3/radar_scenes/examples/sequences.py | 0.52975 | 0.45048 | sequences.py | pypi |
import os
import numpy as np
from radar_scenes.sequence import Sequence
from radar_scenes.labels import Label, ClassificationLabel
from collections import Counter
def count_label_ids(sequence: Sequence):
"""
Iterate over all scenes in a sequence and collect for each scene, how many detections belong to each c... | /radar_scenes-1.0.3.tar.gz/radar_scenes-1.0.3/radar_scenes/examples/label_statistics.py | 0.801664 | 0.637369 | label_statistics.py | pypi |
from .exceptions import RecordIsNull, EmptyRecordKey, MissingRecordKey, TooManyRecordKeys
from .utils import to_js_key, get_repr, bind
__all__ = 'record', 'default_resolver', 'resolve_many'
def record_repr(interface):
return get_repr('Record', interface)
def default_resolver(state, name, index=None, **context... | /radar-server-0.1.5.tar.gz/radar-server-0.1.5/radar_server/record.py | 0.515132 | 0.273914 | record.py | pypi |
from functools import wraps
from .exceptions import RecordIsNull
from .utils import to_py_key, to_py_deep, to_js_key, get_repr, bind
__all__ = 'query', 'query_repr'
empty_tuple = tuple()
def query_repr(interface):
return get_repr('Record', interface)
def recursive_require(required, fields):
out = {}
... | /radar-server-0.1.5.tar.gz/radar-server-0.1.5/radar_server/query.py | 0.547706 | 0.159054 | query.py | pypi |
import requests
from discord.ext import commands
class Client():
"""This `class` represents a `Client`, the main item used in the package.
"""
def __init__(self, client: commands.Bot, token: str):
"""Initializes a new `Client`
Args:
client (commands.Bot): Your `DiscordPY` clien... | /radarbots.py-0.0.4-py3-none-any.whl/radar/Client.py | 0.763836 | 0.25085 | Client.py | pypi |
import copy
from .api import RadarlyApi
from .utils.misc import to_snake_case
class Localization(list):
"""List-like object used to store data about the geographical
distribution. Each item of the distribution is a dictionary of statistics
about a specific localization. This object is compatible with ``p... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/localization.py | 0.752195 | 0.30641 | localization.py | pypi |
from os import getcwd
from os.path import abspath
from reprlib import repr as trunc_repr
import requests
from .api import RadarlyApi
from .constants import PLATFORM, TONE
from .exceptions import PublicationUpdateFailed
from .metadata import Metadata
from .model import GeneratorModel, SourceModel
from .utils.misc impo... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/publication.py | 0.786541 | 0.28946 | publication.py | pypi |
from .api import RadarlyApi
class Distribution(list):
"""
List-like object storing the distribution over time of some metrics. Each item
in the list is the statistics for one date. The ``Distribution`` object
is compatible with ``pandas``.
Example:
>>> import pandas as pd
>>> dis... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/distribution.py | 0.845496 | 0.282261 | distribution.py | pypi |
from .utils.misc import load_data, dict_to_namedtuple, flat
__all__ = [
'ANALYTICS_FIELD',
'BY',
'CATEGORY',
'CLOUD_FIELD',
'GENDER',
'GEOTYPE',
'INTERVAL',
'MEDIA',
'METRIC',
'ORDER',
'PLATFORM',
'TONE',
'EMOTION'
]
def _set_categories_data(cls):
"""Dynamical... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/constants.py | 0.824956 | 0.308372 | constants.py | pypi |
from .api import RadarlyApi
from .model import SourceModel
class Corpus(SourceModel):
"""Store information about a corpus.
Args:
created (datetime.datetime): creation date of the corpus
id (int): unique identifier for the corpus
name(str): name given to the corpus
project_id (... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/corpus.py | 0.819316 | 0.185578 | corpus.py | pypi |
from .api import RadarlyApi
from .model import GeneratorModel, SourceModel
from .utils._internal import parse_struct_stat
class Influencer(SourceModel):
"""Dict-like object storing information about an influencer. The value of
this object are available as value associated to a key, or as attribute of
the ... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/influencer.py | 0.835986 | 0.275832 | influencer.py | pypi |
from .api import RadarlyApi
class SocialPerformance(list):
"""List-like object storing distribution over time of some stats about a
social account. This object is compatible with ``pandas``.
>>> social_perf
<SocialPerformance.uid=172489456479180.platform=facebook>
>>> import pandas as pd
>>> ... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/socialperformance.py | 0.7586 | 0.150247 | socialperformance.py | pypi |
from copy import deepcopy
from reprlib import repr as truncate_repr
from .analytics import Analytics
from .api import RadarlyApi
from .model import SourceModel
from .publication import Publication
from .cloud import Cloud
class Cluster(SourceModel):
"""Object which inherits from the ``SourceModel`` storing infor... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/cluster.py | 0.888099 | 0.23156 | cluster.py | pypi |
from .api import RadarlyApi
from .constants import ANALYTICS_FIELD
from .utils._internal import CallableDict
class Analytics(dict):
"""Dict-like object. Each key gives access to a specific kind of
statistics (asked in the parameter in the *fields* key).
This object can be explored with ``pandas``.
>>... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/analytics.py | 0.893953 | 0.337749 | analytics.py | pypi |
from .api import RadarlyApi
from .utils._internal import CallableDict, id_to_value
from .utils.misc import to_snake_case
class PivotTable(dict):
"""Dict-like object storing data of the pivot table.
It is strongly advised to use ``pandas`` to explore this object.
>>> import pandas as pd
>>> table
... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/pivottable.py | 0.895202 | 0.26516 | pivottable.py | pypi |
from .api import RadarlyApi
class Cloud(dict):
"""Dict-like object used to store the data of the cloud. The keys of this
object corresponds to the differents statistics types available for the
cloud (e.g *keywords*, *hashtags*, *mentions*,...). The value associated
to each key of the ``Cloud`` object ... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/cloud.py | 0.912334 | 0.436802 | cloud.py | pypi |
from .api import RadarlyApi
class Benchmark(dict):
"""Dict-like object used to store the benchmark data. The keys of this
object are the available platforms on which the different social accounts
have been compared. The value associated to each platform is an object
which can be transformed into a ``p... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/benchmark.py | 0.92563 | 0.358858 | benchmark.py | pypi |
from .api import RadarlyApi
from .model import SourceModel
from .project import InfoProject
class User(SourceModel):
"""Object used to explore user information returned by the API. Given that
this object inherits from the ``SourceModel``, you can get the structure of the
object with the ``draw_structure``... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/user.py | 0.831827 | 0.200714 | user.py | pypi |
from .analytics import Analytics
from .api import RadarlyApi
from .benchmark import Benchmark
from .cloud import Cloud
from .cluster import Cluster
from .corpus import InfoCorpus
from .dashboard import Dashboard
from .distribution import Distribution
from .focus import Focus
from .geogrid import GeoGrid
from .influence... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/project.py | 0.855172 | 0.201597 | project.py | pypi |
import json
from datetime import datetime
from os import getenv
import requests
from .auth import RadarlyAuth
from .exceptions import (AuthenticationError, NoInitializedApi,
RadarlyHTTPError, RateReached)
from .rate import RateLimit
from .utils._internal import _parse_error_response
from .uti... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/api.py | 0.7237 | 0.211885 | api.py | pypi |
import copy
import json
from abc import ABC, abstractmethod
from pytz import timezone
from .api import RadarlyApi
from .utils.jsonparser import RadarlyEncoder
from .utils.path import dpath, draw_structure
class SourceModel:
"""Mixin to transform dictionary into an object where the keys of the
dictionary are... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/model.py | 0.872184 | 0.46132 | model.py | pypi |
import copy
import re
from .utils.router import Router
class RateConf:
"""Object storing information about the rate limit on each url of the
``Router`` object"""
slow = [
Router.influencer['search'],
Router.distribution['fetch'],
Router.analytics['global'],
Router.cloud['f... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/rate.py | 0.794664 | 0.279927 | rate.py | pypi |
import re
from lxml import html
from .misc import flat
def instance_builder(cls, data, *args, **kwargs):
"""Build an object of a specific class. This function is scalable
(if a list is set as argument, return a list of object; else just
one object)
"""
if not data:
return data
elif is... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/utils/_internal.py | 0.715325 | 0.352926 | _internal.py | pypi |
import json
import re
import textwrap
from collections import UserList, namedtuple
from datetime import datetime
from functools import reduce
from os.path import dirname, join, pardir
from urllib.parse import urlparse
from dateutil.relativedelta import relativedelta
from dateutil.rrule import MONTHLY, rrule
def load... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/utils/misc.py | 0.704872 | 0.300681 | misc.py | pypi |
import re
from datetime import datetime
import json
import pytz
from dateutil.parser import parse
from .misc import to_snake_case
_BLACKLIST_PATH = [
['hits', 'radar', 'tag'],
['radar', 'tag'],
['dots', 'stats'],
]
def decode_value(value, key=None):
"""Try to convert a string into a specific Pytho... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/utils/jsonparser.py | 0.746509 | 0.408336 | jsonparser.py | pypi |
import operator
import re
from .colorizer import blue, red
from .misc import extract_type
SEPARATOR_DPATH = re.compile(r'(.(?P<key>[\w]+)'
r'(\[(?P<index>[-\d]+)\])?'
r'(\((?P<filters>[ #&\(\)*+,.!/:;<=>?@\[\\\]^_`\{|\}~/,\w-]+)\))?)')
CORRECT_DPATH = re.comp... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/utils/path.py | 0.776877 | 0.410166 | path.py | pypi |
import pytz
from ..constants import (CATEGORY, GENDER, GEOTYPE, INTERVAL, MEDIA, METRIC,
ORDER, PLATFORM, TONE)
from ..utils.checker import (check_date, check_geocode, check_language,
check_list)
class AuthorMixin:
"""Field used to build all the author relate... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/parameters/field.py | 0.763307 | 0.431704 | field.py | pypi |
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