text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
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'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/dataset.py | .py | 3b3e6ccd7c9f1102 | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/dataset_info/dataset_info_factory.py | .py | b2c053bf41f9ded8 | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/dataset_info/dataset_info_v0.py | .py | 9b06978333bf951b | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/dataset_info/dataset_info_v1.py | .py | 2b81e5f60f322f5b | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/datasets_connectors/datasets_connector_factory.py | .py | 00a9736291ae5eae | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/datasets_connectors/json_datasets_connector/json_dataset_connector_tools.py | .py | 9c717d75577a43a8 | 7.56 | 12 |
'''
Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/datasets/datasets_connectors/local_filesystem_datasets_connector/local_filesystem_datasets_connector_base.py | .py | f1221c9e2f2f65ce | 7.56 | 12 |
'''
Copyright 2022 Airbus SAS
Modifications on 2023/10/10-2025/02/14 Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
... | os-climate/sostrades-core | sostrades_core/execution_engine/builder_tools/sos_tool.py | .py | f9ba0678f2aaf1dc | 7.56 | 12 |
'''
Copyright 2022 Airbus SAS
Modifications on 2024/05/16 Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by... | os-climate/sostrades-core | sostrades_core/execution_engine/builder_tools/tool_builder.py | .py | 1c3a59368c7fb6d9 | 7.56 | 12 |
'''
Copyright 2022 Airbus SAS
Modifications on 2023/05/12-2025/02/26 Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
... | os-climate/sostrades-core | sostrades_core/execution_engine/builder_tools/tool_factory.py | .py | 78628101e1c202de | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, soft... | os-climate/sostrades-core | sostrades_core/execution_engine/discipline_driver_wrapp.py | .py | 093274deb56a4c03 | 7.56 | 12 |
'''
Copyright 2024 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, soft... | os-climate/sostrades-core | sostrades_core/execution_engine/discipline_wrapp.py | .py | a000418497214005 | 7.56 | 12 |
'''
Copyright 2022 Airbus SAS
Modifications on 2024/05/16-2025/02/14 Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
... | os-climate/sostrades-core | sostrades_core/execution_engine/disciplines_wrappers/discipline_gather_wrapper.py | .py | a4f7f0fd822eeafd | 7.56 | 12 |
'''
Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | os-climate/sostrades-core | sostrades_core/execution_engine/disciplines_wrappers/monte_carlo_driver_wrapper.py | .py | c2f91caf80c6c2e2 | 7.56 | 12 |
'''
Copyright 2022 Airbus SAS
Modifications on 2023/04/13-2025/02/14 Copyright 2025 Capgemini
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
... | os-climate/sostrades-core | sostrades_core/execution_engine/disciplines_wrappers/sample_generator_wrapper.py | .py | c687aeef079d3bb4 | 7.56 | 12 |
from __future__ import annotations
from typing import Literal, TypedDict
__all__ = (
"STOP_SIGNAL",
"BracketTypeT",
"ConfigT",
"VolumeNumberT",
)
BracketTypeT = Literal["square", "round", "curly"]
# A volume number, or an omnibus range like `1-2`
VolumeNumberT = int | float | tuple[int | float, int ... | noaione/nao-manga-rls | nmanga/_ntypes.py | .py | cc2e5adf15c3ab4c | 7.42 | 6 |
"""
MIT License
Copyright (c) 2022-present noaione, anon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, ... | noaione/nao-manga-rls | nmanga/autolevel.py | .py | 1915ecb99deefc22 | 7.42 | 6 |
"""
MIT License
Copyright (c) 2022-present noaione
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publis... | noaione/nao-manga-rls | nmanga/cli/image_tagging.py | .py | 23d909d42e34b6d6 | 7.42 | 6 |
import dataclasses
import types
from typing import Mapping
from typing import Optional
from h2o_discovery._internal.compat import tomllib
def _empty_tokens_factory() -> Mapping[str, str]:
return types.MappingProxyType({})
@dataclasses.dataclass(frozen=True)
class Config:
"""Internal representation of the H... | h2oai/cloud-discovery-py | src/h2o_discovery/_internal/config.py | .py | 629a37334836867d | 7.45 | 7 |
import os
from typing import Optional
from typing import Union
import urllib.parse
_WELL_KNOWN_PATH = ".ai.h2o.cloud.discovery"
_DEFAULT_LOCAL_CONFIG_PATH = "~/.h2oai/h2o-cli-config.toml"
class DetermineURIError(LookupError):
"""Raised when the discovery endpoint cannot be determined."""
def determine_uri(
... | h2oai/cloud-discovery-py | src/h2o_discovery/_internal/lookup.py | .py | 0c277ec2526736d7 | 7.45 | 7 |
import dataclasses
import types
from typing import Mapping
from typing import Optional
@dataclasses.dataclass(frozen=True)
class Service:
"""Representation of a registered service record."""
#: Name of the Service. For example: "services/my-service-name".
name: str
#: Name of the Service that can be... | h2oai/cloud-discovery-py | src/h2o_discovery/model.py | .py | 2068ab050acc71f3 | 7.45 | 7 |
import datetime
import pytz
from emergency_alerts_utils.timezones import (
local_timezone,
utc_string_to_aware_gmt_datetime,
)
class AlertDate(object):
"""Makes a datetime available in different formats"""
def __init__(self, _datetime):
self._datetime = _datetime # a timezone-aware UTC date... | alphagov/emergency-alerts-govuk | app/models/alert_date.py | .py | 12aa7b9e6ca78711 | 7.48 | 8 |
import colorgram
import colour
import numpy as np
import webcolors
from ammico.utils import AnalysisMethod, get_color_table
COLOR_SCHEMES = [
"CIE 1976",
"CIE 1994",
"CIE 2000",
"CMC",
"ITP",
"CAM02-LCD",
"CAM02-SCD",
"CAM02-UCS",
"CAM16-LCD",
"CAM16-SCD",
"CAM16-UCS",
... | ssciwr/AMMICO | ammico/colors.py | .py | bfe2d905745d3f8a | 7.6 | 15 |
from __future__ import annotations
import os
import warnings
from collections.abc import Sequence as _Sequence
from concurrent.futures import ThreadPoolExecutor
from typing import Any, ClassVar
from PIL import Image
from ammico.inference import InferenceModel
from ammico.utils import AnalysisMethod, AnalysisType
c... | ssciwr/AMMICO | ammico/image_summary.py | .py | 1e140716aeefc178 | 7.6 | 15 |
from __future__ import annotations
from enum import Enum
from typing import Any
class ProcessingLevel(Enum):
"""Define the three processing levels in a pipeline.
FRAME: individual frame analysis
CLIP: video segment (multiple frames)
VIDEO: full video (multiple clips)"""
FRAME = "frame"
CLIP ... | ssciwr/AMMICO | ammico/prompt_builder.py | .py | 5b465c5cb9b2d286 | 7.6 | 15 |
import os
import pytest
from PIL import Image
from ammico.image_summary import ImageSummaryDetector
from ammico.test.conftest import MockInferenceModel
@pytest.mark.long
def test_image_summary_detector_summary_and_questions(model, get_testdict):
"""One Qwen load for summary + VQA (avoids loading the VL model tw... | ssciwr/AMMICO | ammico/test/test_image_summary.py | .py | a27bc1564a262fc7 | 8.1 | 15 |
from __future__ import annotations
import os
import re
import grpc
import pandas as pd
import spacy
from google.auth.exceptions import DefaultCredentialsError
from google.cloud import vision
from googletrans import Translator
from ammico.utils import AnalysisMethod
PRIVACY_STATEMENT = """The Text Detector uses Goog... | ssciwr/AMMICO | ammico/text.py | .py | a42e53a9bc45e1a5 | 7.6 | 15 |
from __future__ import annotations
import collections
import glob
import os
import random
import re
import warnings
from collections.abc import Iterable
from enum import Enum
from pathlib import Path
from typing import ClassVar
import importlib_resources
import pooch
import torch
from pandas import Da... | ssciwr/AMMICO | ammico/utils.py | .py | bf47376be0cd2a02 | 7.6 | 15 |
#!/usr/bin/env python3
# This script tests the get_init() and get_wrf() functions in the models of unsatfit.
# https://sekika.github.io/unsatfit/model.html
# Laboratory drying SWRCs in the UNSODA database with 7 or more data points
# are used for testing. If the R^2 value falls below the predetermined threshold,
# the ... | sekika/unsatfit | dev/test_model.py | .py | fbeff8c159c61d99 | 7 | 9 |
def contour(self, x_name, y_name):
"""Contour of RMSE"""
import numpy as np
import matplotlib.pyplot as plt
from .unsatfit import Fit
# Set data and residual function
param = self.model[self.model_name.replace('Modified ', '')]['param']
if self.ht_only:
data = self.swrc
par ... | sekika/unsatfit | unsatfit/_contour.py | .py | b7674c583546194a | 7.5 | 9 |
"""
Reads the real entity placements out of a scenario's Relic Chunky files.
The `.info` file next to every scenario also lists the resource points, but it is a
summary the editor writes on save and it goes stale: on `twin_beach_2p_mkii` it calls
all five fuel points `territory_fuel_point_medium` while the map actuall... | cohstats/coh3-data | scripts/mp-maps/layer_parser.py | .py | b1e4ee1c75909ab1 | 7.48 | 8 |
"""
Parser for Company of Heroes 3 scenario `.info` files.
A `.info` file sits next to every scenario inside `ScenariosMP.sga` and is a plain
text Lua table literal:
HeaderInfo =
{
ScenarioDescription = "$11266018",
mapsize = { 416, 416, },
point_positions =
{
{ ebp... | cohstats/coh3-data | scripts/mp-maps/lua_info_parser.py | .py | 503edc23fb67b705 | 7.48 | 8 |
"""
Turns the territory cell grid into polygon outlines that a client can draw directly.
The grid is a per cell sector id, so the exact outline of a sector is a staircase
along cell edges. Tracing it verbatim costs about 205 vertices per sector (1.9 MB of
JSON over all maps), and almost all of that is quantisation noi... | cohstats/coh3-data | scripts/mp-maps/sector_geometry.py | .py | a989239ffe9b0ee7 | 7.48 | 8 |
"""
Reads the authored territory sectors out of a scenario's `*_territory.override`.
Sectors are the regions *between* the resource points - the areas the game shades in
the tactical map and that decide which points are cut off. They are painted by hand in
the editor and stored per scenario, so unlike the point list t... | cohstats/coh3-data | scripts/mp-maps/territory_parser.py | .py | 4a10f2081b8b3097 | 7.48 | 8 |
import json
import os
import argparse
import re
def create_locstring_dictionary(ucs_file_path):
"""
Reads a UCS file and creates a dictionary with locstring IDs as keys and text as values.
The UCS file is tab-separated and UTF-16 encoded, with format:
ID<tab>Text
"""
locstring_dict = {}
... | cohstats/coh3-data | scripts/ucs-to-json.py | .py | 97142c57de6075ca | 7.48 | 8 |
"""Extract the Final Stand (HOFF) perk trees into data/fs-perks.json.
The game stores the perk trees in two places under xml/attrib/instances/perks:
persistent_perk_tree/hoff/<tree>.xml one file per faction, the tier layout
persistent_perk/hoff/<faction>/*.xml one file per perk, name / cost / modifiers
This ... | cohstats/coh3-data | scripts/xml-to-json/fs_perks.py | .py | 391be93ed779d00c | 7.48 | 8 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Usage:
vocab.py --train-src=<file> --train-tgt=<file> [options] VOCAB_FILE
Options:
-h --help Show this screen.
--train-src=<file> File of training source sentences
--train-tgt=<file> File of training target sentences
... | CAMeL-Lab/camel_morph | camel_morph/sandbox/vocab.py | .py | c116fc0458d20483 | 7.64 | 18 |
import logging
import random
from paho.mqtt import client as mqtt
from paho.mqtt.enums import CallbackAPIVersion
log = logging.getLogger(__name__)
HANDLER_PREFIX = "on_action_"
class Comms:
def __init__(
self,
frontend,
host="localhost",
port=1883,
topic="mopidy",
... | fmarzocca/Mopiqtt | mopiqtt/mqtt.py | .py | 9e1c7f05e757a5ec | 7.59 | 14 |
import logging
log = logging.getLogger(__name__)
UNKNOWN = ""
def describe_track(track):
"""
Prepare a short human-readable Track description.
track (mopidy.models.Track): Track to source song data from.
"""
title = track.name or UNKNOWN
# Simple/regular case: normal song (e.g. from Spot... | fmarzocca/Mopiqtt | mopiqtt/utils.py | .py | 23854330a1ff75d9 | 7.59 | 14 |
"""The `mustrd` command-line tool.
Runs a MustrdTest configuration (the same TTL config the pytest plugin uses) and
produces the same reports — coverage / competency questions / Markdown / RDF —
WITHOUT pytest. Spec execution goes through mustrd.runner and reporting goes
through mustrd.reporting, the shared libraries ... | Semantic-partners/mustrd | mustrd/cli.py | .py | f0a5bcfb43f0a860 | 7.42 | 6 |
"""The MustrdTest configuration file: parse it, SHACL-validate it, resolve paths.
A plain library with no pytest dependency, so the `mustrd` CLI (via runner.py) and
the pytest plugin read the same configuration the same way. It was extracted from
mustrdTestPlugin.py, which re-exports `TestConfig`/`parse_config` for ca... | Semantic-partners/mustrd | mustrd/config.py | .py | 0d5414755d20c52f | 7.42 | 6 |
"""Render a coverage result as RDF (W3C DQV + PROV), for a knowledge graph.
Turns the dict `compute_coverage` produces into a graph that can be merged into a
triplestore and queried: DQV quality measurements (term coverage, as a decimal
ratio) `dqv:computedOn` the ontology IRI(s) and their `owl:versionIRI`, plus a
`co... | Semantic-partners/mustrd | mustrd/coverage_rdf.py | .py | 486425848d245b01 | 7.42 | 6 |
"""The one place mustrd configures logging — and only when mustrd is the application.
The rule, applied throughout the package:
- Library modules do `log = logging.getLogger(__name__)` and nothing else.
Importing mustrd must never add, remove or re-level a handler: whoever
imported it owns that decision, an... | Semantic-partners/mustrd | mustrd/logger_setup.py | .py | e11808efdf9a5c02 | 7.42 | 6 |
"""Stardog execution backend for mustrd.
Talks to a Stardog server over its HTTP SPARQL protocol
(https://docs.stardog.com/query-stardog/#http-and-sparql-protocols).
Two things set this backend apart from the GraphDb/Anzo ones:
* Authentication prefers a bearer token (``Authorization: Bearer <token>``) and
falls b... | Semantic-partners/mustrd | mustrd/mustrdStardog.py | .py | 66965f0904862f75 | 7.42 | 6 |
"""Embed the sources a run read — spec Turtle and executed SPARQL — as RDF.
The rest of the run graph records *paths* (`must:specSourceFile`,
`cov:sourceFile`), which only resolve from the working directory the run happened
in. A report that travels — an emailed file, a CI artifact, a page on a static
site — needs the... | Semantic-partners/mustrd | mustrd/sources_rdf.py | .py | d0220240217a7391 | 7.42 | 6 |
import json
import warnings
from contextlib import contextmanager
from pathlib import Path
from requests import HTTPError, RequestException, Response
# Keep this function in a file directly under project root / src
def get_mustrd_root() -> Path:
return Path(__file__).parent
def manage_http_response(response: R... | Semantic-partners/mustrd | mustrd/utils.py | .py | ed15d6095df62153 | 7.42 | 6 |
"""Build the self-contained run viewer: one HTML file, driven by the run's RDF.
The page is assembled with Jinja from `mustrd/templates/viewer/`:
viewer.html.jinja the shell, which includes everything below
viewer.css the stylesheet
van.js vendored VanJS 1.6.1 (MIT)
turtle.js ... | Semantic-partners/mustrd | mustrd/viewer.py | .py | 95391deed7483f6c | 7.42 | 6 |
"""Configurable TLS ciphers for anzo_utils.
These need no server. Every test in test_mustrd_anzo.py skips unless one is
configured, which is exactly why the cipher behaviour needs pinning here instead:
the old global urllib3 DEFAULT_CIPHERS mutation disappeared with urllib3 2.x and
nothing in CI would have noticed.
""... | Semantic-partners/mustrd | test/test_anzo_tls.py | .py | ae7338e0e7c9d46d | 7.92 | 6 |
"""Tests for the standalone `mustrd` CLI (mustrd.cli).
Drives the same runnable example the pytest plugin test uses
(docs/examples/geography-example) and asserts the CLI produces the same report
content WITHOUT pytest, plus the JSON-LD serialization the viewer consumes.
"""
import os
import subprocess
import sys
impor... | Semantic-partners/mustrd | test/test_cli.py | .py | 045482a080bf7c61 | 7.92 | 6 |
"""End-to-end tests for the --term-coverage / --cq plugin wiring.
Runs the mustrd pytest plugin over the runnable example in
docs/examples/geography-example (the same fixtures the worked-example report
is generated from) and asserts the report it produces. Nested pytest.main
invocation mirrors test/test_pytest_mustrd.... | Semantic-partners/mustrd | test/test_coverage_plugin.py | .py | 0f5b11358ad1d4dd | 7.92 | 6 |
"""Data-level tests: compute_coverage -> coverage_graph emits the right triples.
The RDF graph is the canonical output of a coverage run; here we assert the
*data* it contains, independently of how it's later rendered.
"""
from rdflib import Graph, URIRef, Namespace, RDF, XSD, Literal
from mustrd.coverage import comp... | Semantic-partners/mustrd | test/test_coverage_rdf.py | .py | d42fc29fb7770d26 | 7.92 | 6 |
"""Rendering-level tests: the Coverage Report Markdown is a pure function of the
coverage RDF graph (+ the ontology, for the subClassOf tree).
Fixture in: the committed example graph and its ontologies. Out: the Markdown
Coverage Report. This exercises the renderer without recomputing coverage.
"""
from pathlib import... | Semantic-partners/mustrd | test/test_coverage_render.py | .py | 7578dcca167fc418 | 7.92 | 6 |
import time
from threading import Thread
from tf2utilities.schema import Schema
class TF2:
def __init__(
self,
api_key: str = "",
auto_update: bool = False,
update_time: int = 24 * 60 * 60,
lite: bool = False
) -> None:
"""
... | dixon2004/python-tf2-utilities | tf2utilities/main.py | .py | 798fe151d45e3a7e | 7.42 | 6 |
"""
Compute the Wachspress Barycentric ccoordinate for a convex polygon. These can
be directly used for barycentric interpolation.
"""
import numba as nb
import numpy as np
from numba_celltree.constants import (
PARALLEL,
FloatArray,
FloatDType,
IntArray,
)
from numba_celltree.geometry_utils import (
... | Deltares/numba_celltree | numba_celltree/algorithms/barycentric_wachspress.py | .py | 3b310c2314cd4ebe | 7.57 | 13 |
"""
Slightly adapted from:
https://github.com/scivision/lineclipping-python-fortran
(MIT License)
"""
from typing import Tuple
import numba as nb
import numpy as np
from numba_celltree.constants import Box, Point
INSIDE, LEFT, RIGHT, LOWER, UPPER = 0, 1, 2, 4, 8
@nb.njit(inline="always")
def get_clip(a: Point, b... | Deltares/numba_celltree | numba_celltree/algorithms/cohen_sutherland.py | .py | 87709dadccd1a7e6 | 7.57 | 13 |
"""
Implementation based off the description in:
Skala, V. (1993). An efficient algorithm for line clipping by convex polygon.
Computers & Graphics, 17(4), 417-421.
Available at:
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.302.5729&rep=rep1&type=pdf
Also available in:
Duc Huy Bui, 1999. Algorithms for L... | Deltares/numba_celltree | numba_celltree/algorithms/cyrus_beck.py | .py | 2b1d05035cfe5c05 | 7.57 | 13 |
"""
Sutherland-Hodgman clipping
---------------------------
Vertices (always lower case, single letter):
Clipping polygon with vertices r, s, ...
Subject polgyon with vertices a, b, ...
Vectors (always upper case, single letter):
* U: r -> s
* N: norm, orthogonal to u
* V: a -> b
* W: a -> r
s ----- ...
|
| ... | Deltares/numba_celltree | numba_celltree/algorithms/sutherland_hodgman.py | .py | 2f0c5b635fccda34 | 7.57 | 13 |
from typing import Optional, Tuple
import numba as nb
from numba_celltree.algorithms import (
area_of_intersection,
barycentric_triangle_weights,
barycentric_wachspress_weights,
box_area_of_intersection,
polygons_intersect,
)
from numba_celltree.cast import cast_bboxes, cast_edges, cast_faces, cas... | Deltares/numba_celltree | numba_celltree/celltree.py | .py | a70df39052200fb4 | 7.57 | 13 |
import abc
from typing import Optional
import numpy as np
from numba_celltree.constants import (
MIN_TOLERANCE,
TOLERANCE_FACTOR,
BoolArray,
FloatArray,
FloatDType,
IntArray,
)
from numba_celltree.query import (
collect_node_bounds,
validate_node_bounds,
)
def bbox_tree(bb_coords: Fl... | Deltares/numba_celltree | numba_celltree/celltree_base.py | .py | 4fc693dda976d16c | 7.57 | 13 |
"""
Types and constants.
Note: it is not advisable to change either the IntDType or the FloatDType.
In case of the floats, 64-bit has much higher precision, which may be quite
relevant for geometry: more precision for edge cases, etc.
In case of the integers, Python has surprisingly (ambiguous) behavior. Since
numba... | Deltares/numba_celltree | numba_celltree/constants.py | .py | ea21747f30e2d106 | 7.57 | 13 |
from typing import List, Tuple
import numba as nb
import numpy as np
from numba_celltree.constants import (
FLOAT_MAX,
FLOAT_MIN,
INT_MAX,
Bucket,
BucketArray,
BucketDType,
FloatArray,
IntArray,
IntDType,
Node,
NodeArray,
NodeDType,
)
from numba_celltree.utils import (
... | Deltares/numba_celltree | numba_celltree/creation.py | .py | 197798f21a8954b9 | 7.57 | 13 |
from typing import Tuple
import matplotlib.tri
import numpy as np
from matplotlib import patches
from matplotlib.collections import LineCollection
from numba_celltree.constants import IntArray, IntDType
def close_polygons(face_node_connectivity: IntArray, fill_value: int) -> IntArray:
# Wrap around and create c... | Deltares/numba_celltree | numba_celltree/demo.py | .py | bd07761f36dcf39e | 7.57 | 13 |
from typing import Optional, Tuple
import numba as nb
import numpy as np
from numba_celltree.cast import cast_edges, cast_vertices
from numba_celltree.celltree_base import (
CellTree2dBase,
bbox_distances,
bbox_tree,
default_tolerance,
)
from numba_celltree.constants import (
MIN_TOLERANCE,
TO... | Deltares/numba_celltree | numba_celltree/edge_celltree.py | .py | c2128c852e9b74b6 | 7.57 | 13 |
from typing import Sequence, Tuple
import numba as nb
import numpy as np
from numba_celltree.constants import (
FILL_VALUE,
MIN_TOLERANCE,
NDIM,
PARALLEL,
TOLERANCE_FACTOR,
Box,
FloatArray,
FloatDType,
IntArray,
Point,
Triangle,
Vector,
)
from numba_celltree.utils impor... | Deltares/numba_celltree | numba_celltree/geometry_utils.py | .py | 3245e95f17d5e2da | 7.57 | 13 |
import numpy as np
import pytest
from numba_celltree.algorithms import (
cohen_sutherland_line_box_clip,
cyrus_beck_line_polygon_clip,
liang_barsky_line_box_clip,
)
from numba_celltree.constants import Box, Point
def ab(a, b, c):
"""Flip the result around to compare (a, b) with (b, a)"""
return (... | Deltares/numba_celltree | tests/test_algorithms/test_line_box_clip.py | .py | e2551607cf8fa727 | 7.07 | 13 |
"""Utilizes same boxes as test_line_box_clip"""
import numpy as np
from numba_celltree.algorithms.cyrus_beck import cyrus_beck_line_polygon_clip
from numba_celltree.constants import Point
def ab(a, b, c):
"""Flip the result around to compare (a, b) with (b, a)"""
return (a, c, b)
TOLERANCE = 1e-9
def li... | Deltares/numba_celltree | tests/test_algorithms/test_line_polygon_clip.py | .py | bfce4bc8203ca511 | 7.07 | 13 |
# Copyright Rouven Bauer
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | robsdedude/flake8-picky-parentheses | tests/_common.py | .py | 0442770eb11b2949 | 7 | 9 |
# -*- coding: utf-8 -*-
import logging.config
import os
import re
from typing import Any
import yaml
from yaml.parser import ParserError
class YAMLConfig(object):
"""YAMLConfig class for loading YAML configurations with custom tagging and transformation rules.
This class adds a custom envvar tag to native Y... | zobayer1/logging-extras | logging_/config/yaml_config.py | .py | b7b4b3067450a7d9 | 7.48 | 8 |
# -*- coding: utf-8 -*-
import atexit
import copy
import logging.config
from logging import Handler, LogRecord
from logging.handlers import QueueListener
from typing import Any
class QueueListenerHandler(Handler):
"""QueueListenerHandler class for managing a queue listener with configured handlers.
This clas... | zobayer1/logging-extras | logging_/handlers/queue_listener_handler.py | .py | 86a74b83f6378251 | 7.48 | 8 |
# -*- coding: utf-8 -*-
import logging.config
import pytest
import yaml
config_yaml = """
version: 1
objects:
queue:
class: queue.Queue
maxsize: 1000
formatters:
simple:
format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
handlers:
console:
class: logging.StreamHandler
formatter: ... | zobayer1/logging-extras | tests/test_handlers/test_queue_listener_handler.py | .py | b4f26163f3a40cdf | 7.98 | 8 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | examples/modeling_features/020-solid_model.py | .py | fb028da5aecae047 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_dependency_graph.py | .py | b5453f9679401c95 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_model_printer.py | .py | aa3cd07ab1dac163 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_recursive_copy.py | .py | 182bc83b29be03eb | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_server/acp_instance.py | .py | d60023fa9df3dc96 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_server/common.py | .py | 88503638a3888e95 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_server/direct.py | .py | 7be2103bc293678c | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_server/docker_compose.py | .py | b9e4acdd1f08cf73 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_elemental_or_nodal_data.py | .py | 9b5bc5794bed5598 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/edge_property_list.py | .py | 7650dc08b483d447 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/enum_wrapper.py | .py | 34c84e8b81c01b39 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/linked_object_helpers.py | .py | 76f84220e971fb2e | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/linked_object_list.py | .py | f06d7eaab94434fe | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/polymorphic_from_pb.py | .py | 0af74e1814bc9909 | 7.45 | 7 |
# Copyright (C) 2022 - 2026 Synopsys, Inc. and ANSYS, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, includi... | ansys/pyacp | src/ansys/acp/core/_tree_objects/_grpc_helpers/property_helper.py | .py | db99d0477b2cc38a | 7.45 | 7 |
from tqdm import tqdm
import numpy as np
import lmdb
import os.path as op
import cv2 as cv
import pyarrow as pa
from glob import glob
def dumps_pyarrow(obj):
"""
Serialize an object.
Returns:
Implementation-dependent bytes-like object
"""
return pa.serialize(obj).to_buffer()
def fetch_lm... | zc-alexfan/render_mano_ih | package_segm_lmdb.py | .py | 6588de0981fbdd14 | 7.57 | 13 |
import numpy as np
import torch
import neural_renderer as nr
import os
N_PARTS = 16 * 2
N_VERTEX = 778 + 1
def add_seal_vertex(vertex):
circle_v_id = np.array(
[108, 79, 78, 121, 214, 215, 279, 239, 234, 92, 38, 122, 118, 117, 119, 120],
dtype=np.int32,
)
center = (vertex[circle_v_id, :])... | zc-alexfan/render_mano_ih | render_utils.py | .py | 9676af35c8de08ef | 7.57 | 13 |
from oauthlib.oauth2 import BackendApplicationClient, TokenExpiredError
from requests_oauthlib import OAuth2Session
import os
import threading
import time
TOKEN_URL = (
"https://identity.dataspace.copernicus.eu/auth/realms/CDSE"
"/protocol/openid-connect/token"
)
# Re-authenticate this many seconds before the... | digitalearthafrica/deafrica-scripts | deafrica/data/cdse_pipelines/auth.py | .py | 6df8c8cc7b03f896 | 7.5 | 9 |
import copy
import os
from .utils import load_evalscript
def _build_data_block(sat_config: dict, time_from: str, time_to: str) -> dict:
"""
Build the processRequest block.
Optional dataFilter keys (acquisitionMode, polarization, resolution) and
the processing block are only included when set in sat_... | digitalearthafrica/deafrica-scripts | deafrica/data/cdse_pipelines/payloads.py | .py | 4e632bb542599bd3 | 7.5 | 9 |
#!/usr/bin/env python3
"""
Sentinel-1 RTC CARD4L metadata XML generator.
Scans the CloudFerro (CF) bucket for completed CDSE batch jobs and generates a
CARD4L-compliant metadata XML file for each tile.
A metadata XML file is generated if:
- a metadata XML does not already exist for that key AND
- userdata.json ex... | digitalearthafrica/deafrica-scripts | deafrica/data/cdse_pipelines/s1_generate_xml_metadata.py | .py | d33912311524cb36 | 7.5 | 9 |
import json
import time
from importlib.resources import files
from deafrica.logs import setup_logging
SH_BATCH_URL = "https://sh.dataspace.copernicus.eu/api/v2/batch/process"
log = setup_logging()
def load_evalscript(path):
return files("deafrica.data.cdse_pipelines").joinpath(path).read_text()
def poll_stat... | digitalearthafrica/deafrica-scripts | deafrica/data/cdse_pipelines/utils.py | .py | c3bfd7375c6619f3 | 7.5 | 9 |
"""
Prepare eo3 metadata for a Copernicus Global Land Service -
Lake Water Quality dataset.
"""
import logging
import warnings
from datetime import datetime
import rioxarray
from eodatasets3.images import ValidDataMethod
from odc.apps.dc_tools._docs import odc_uuid
from deafrica.data.cgls_lwq.filename_parser import ... | digitalearthafrica/deafrica-scripts | deafrica/data/cgls_lwq/prepare_metadata.py | .py | a2e2fb0443763f36 | 7.5 | 9 |
"""
This module contains functions to handle tile management
for the CGLS Lake Water Quality products.
"""
import geopandas as gpd
from odc.dscache._utils import to_tile_shape
from odc.geo import CRS, XY, Resolution
from odc.geo.geom import Geometry
from odc.geo.gridspec import GridSpec
from deafrica.utils import AFR... | digitalearthafrica/deafrica-scripts | deafrica/data/cgls_lwq/tiles.py | .py | d4cc254e76ba8e2b | 7.5 | 9 |
import calendar
import json
import sys
from datetime import datetime
from typing import Optional, Tuple
import click
import pystac
import requests
from odc.apps.dc_tools._docs import odc_uuid
from odc.aws import s3_dump, s3_head_object
from pystac.utils import datetime_to_str
from rasterio.io import MemoryFile
from ri... | digitalearthafrica/deafrica-scripts | deafrica/data/chirps.py | .py | 11ce6de3b87f7ff9 | 7.5 | 9 |
import json
import zipfile
from os import environ
from pathlib import Path
from tempfile import mkdtemp
import cdsapi
import click
import pystac
import xarray as xr
from datacube.utils.cog import write_cog
from datacube.utils.geometry import assign_crs
from odc.apps.dc_tools._docs import odc_uuid
from odc.aws import s... | digitalearthafrica/deafrica-scripts | deafrica/data/copernicus_cci.py | .py | a634decee729f4c1 | 7.5 | 9 |
"""
Download the ESA WorldCereal 10 m 2021 v100 products from Zenodo,
convert to Cloud Optimized Geotiff, and push to an S3 bucket.
Datasource: https://zenodo.org/records/7875105
"""
import os
import posixpath
from subprocess import STDOUT, check_output
from zipfile import ZipFile
import click
import geopandas as gp... | digitalearthafrica/deafrica-scripts | deafrica/data/esa_worldcereal/download_cogs.py | .py | 753218dedcdc5d2f | 7.5 | 9 |
import os
import posixpath
from deafrica.io import is_local_path
def parse_geotiff_url(geotiff_url: str) -> tuple[str]:
"""
Get the filename components of an ESA WorldCereal
AEZ-based GeoTIFF url.
Parameters
----------
geotiff_url : str
ESA WorldCereal AEZ-based GeoTIFF file path.
... | digitalearthafrica/deafrica-scripts | deafrica/data/esa_worldcereal/geotiff.py | .py | 635fe314949437b4 | 7.5 | 9 |
"""
Create per dataset metadata (stac files) for the ESA WorldCereal 10 m
2021 v100 products.
"""
import json
import os
import posixpath
import sys
from pathlib import Path
import click
import numpy as np
from eodatasets3.serialise import to_path
from eodatasets3.stac import to_stac_item
from deafrica.data.esa_world... | digitalearthafrica/deafrica-scripts | deafrica/data/esa_worldcereal/metadata_generator.py | .py | c7e4fbf03ae3bbc5 | 7.5 | 9 |
"""
Prepare eo3 metadata for ESA WorldCereal 10 m
2021 v100 products.
"""
from datetime import datetime
import rioxarray
from eodatasets3.images import ValidDataMethod
from eodatasets3.model import DatasetDoc
from odc.apps.dc_tools._docs import odc_uuid
from deafrica.data.easi_assemble import EasiPrepare
def get_c... | digitalearthafrica/deafrica-scripts | deafrica/data/esa_worldcereal/prepare_metadata.py | .py | 9d22ad19525199c1 | 7.5 | 9 |
"""
Download the Global Mangrove Watch (1996 - 2020) Version 3.0 Dataset
for a year from Zenodo, convert to CLoud Optimized Geotiff,
and push to an S3 bucket
Datasource: https://zenodo.org/records/6894273
"""
import json
import os
import shutil
from datetime import datetime
from pathlib import Path
from typing import... | digitalearthafrica/deafrica-scripts | deafrica/data/gmw.py | .py | 4a9dab418c9d3f75 | 7.5 | 9 |
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