migrate to pixi
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a6e598a26f
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285c273b01
2
.gitattributes
vendored
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2
.gitattributes
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# SCM syntax highlighting & preventing 3-way merges
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pixi.lock merge=binary linguist-language=YAML linguist-generated=true
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4
.gitignore
vendored
4
.gitignore
vendored
@ -28,3 +28,7 @@ linux
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*.7z
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res
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*.txt
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# pixi environments
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.pixi
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*.egg-info
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@ -80,10 +80,30 @@ class NcData:
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return iter([self.dataset, self.tplatitude, self.tplongitude, self.tpaltitude, self.ktemp, self.time, self.date, self.date_time])
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ENABLE_SABER_FILTERING = True # 是否启用SABER数据的过滤
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def data_nc_load(file_path):
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dataset = nc.Dataset(file_path, 'r')
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# do filtering
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if ENABLE_SABER_FILTERING:
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# lon_valid = (ds.tplongitude >= 0) & (ds.tplongitude <= 360)
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lon_valid = (dataset.variables['tplongitude'][:] >= 0) & (
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dataset.variables['tplongitude'][:] <= 360)
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dataset = dataset.where(lon_valid, drop=True)
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# 第二步:纬度筛选 (-90-90)
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lat_valid = (dataset.variables['tplatitude'][:] >= -
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90) & (dataset.variables['tplatitude'][:] <= 90)
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dataset = dataset.where(lat_valid, drop=True)
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# 第三步:温度筛选 (80-1000 或 -999)
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temp_valid = ((dataset.variables['ktemp'][:] >= 80) & (
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dataset.variables['ktemp'][:] <= 1000)) | (dataset.variables['ktemp'][:] == -999)
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dataset = dataset.where(temp_valid, drop=True)
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# 纬度数据,二维数组形状为(42820,379) 42820为事件,379则为不同高度
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tplatitude = dataset.variables['tplatitude'][:, :]
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tplongitude = dataset.variables['tplongitude'][:, :] # 经度数据
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@ -861,7 +861,7 @@ class TidiGravityWPlotMonthly:
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plt.figure(figsize=(10, 6)) # 设置图像大小
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# 绘制热力图,设置 x 和 y 轴的标签
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sns.heatmap(data0_reversed, annot=False, cmap='YlGnBu', linewidths=0.5,
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yticklabels=h_reversed, xticklabels=months, cbar_kws={'label': ' Gravitational potential energy'})
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yticklabels=h_reversed, xticklabels=months, cbar_kws={'label': '重力波动能'})
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# 横坐标过长,设置等间隔展示
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interval = 34 # 横坐标显示间隔
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114
pixi.toml
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114
pixi.toml
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[workspace]
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authors = ["Dustella <fdnoaivj@outlook.com>"]
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channels = ["main", "r", "msys2", "https://repo.anaconda.com/pkgs/main", "https://repo.anaconda.com/pkgs/r"]
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name = "zephyr"
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platforms = ["linux-64"]
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version = "0.1.0"
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[tasks]
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[dependencies]
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_libgcc_mutex = { version = "==0.1", build = "main" }
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_openmp_mutex = { version = "==5.1", build = "1_gnu" }
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bzip2 = { version = "==1.0.8", build = "h5eee18b_6" }
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ca-certificates = { version = "==2024.12.31", build = "h06a4308_0" }
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ld_impl_linux-64 = { version = "==2.40", build = "h12ee557_0" }
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libffi = { version = "==3.4.4", build = "h6a678d5_1" }
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libgcc-ng = { version = "==11.2.0", build = "h1234567_1" }
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libgomp = { version = "==11.2.0", build = "h1234567_1" }
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libstdcxx-ng = { version = "==11.2.0", build = "h1234567_1" }
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libuuid = { version = "==1.41.5", build = "h5eee18b_0" }
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ncurses = { version = "==6.4", build = "h6a678d5_0" }
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openssl = { version = "==3.0.15", build = "h5eee18b_0" }
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pip = { version = "==24.2", build = "py310h06a4308_0" }
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python = { version = "==3.10.11", build = "h955ad1f_3" }
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readline = { version = "==8.2", build = "h5eee18b_0" }
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setuptools = { version = "==75.1.0", build = "py310h06a4308_0" }
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sqlite = { version = "==3.45.3", build = "h5eee18b_0" }
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tk = { version = "==8.6.14", build = "h39e8969_0" }
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wheel = { version = "==0.44.0", build = "py310h06a4308_0" }
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xz = { version = "==5.4.6", build = "h5eee18b_1" }
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zlib = { version = "==1.2.13", build = "h5eee18b_1" }
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[pypi-dependencies]
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aiofiles = "==24.1.0"
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altgraph = "==0.17.4"
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asttokens = "==3.0.0"
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blinker = "==1.9.0"
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certifi = "==2024.12.14"
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cftime = "==1.6.4.post1"
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click = "==8.1.8"
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comm = "==0.2.2"
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contourpy = "==1.3.1"
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cycler = "==0.12.1"
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debugpy = "==1.8.11"
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decorator = "==5.1.1"
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exceptiongroup = "==1.2.2"
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executing = "==2.1.0"
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flask = "==3.1.0"
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flask-cors = "==5.0.0"
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fonttools = "==4.55.3"
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gevent = "==24.11.1"
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greenlet = "==3.1.1"
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h11 = "==0.14.0"
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h2 = "==4.1.0"
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hpack = "==4.1.0"
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hypercorn = "==0.17.3"
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hyperframe = "==6.1.0"
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ipykernel = "==6.29.5"
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ipython = "==8.31.0"
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itsdangerous = "==2.2.0"
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jedi = "==0.19.2"
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jinja2 = "==3.1.5"
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joblib = "==1.4.2"
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jupyter-client = "==8.6.3"
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jupyter-core = "==5.7.2"
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kiwisolver = "==1.4.8"
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markupsafe = "==3.0.2"
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matplotlib = "==3.10.0"
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matplotlib-inline = "==0.1.7"
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mpmath = "==1.3.0"
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nest-asyncio = "==1.6.0"
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netcdf4 = "==1.7.2"
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numpy = "==2.2.1"
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packaging = "==24.2"
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pandas = "==2.2.3"
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parso = "==0.8.4"
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pexpect = "==4.9.0"
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pillow = "==11.1.0"
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platformdirs = "==4.3.6"
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priority = "==2.0.0"
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prompt-toolkit = "==3.0.48"
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psutil = "==6.1.1"
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ptyprocess = "==0.7.0"
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pure-eval = "==0.2.3"
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pyarrow = "==18.1.0"
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pygments = "==2.19.1"
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pyinstaller = "==6.11.1"
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pyinstaller-hooks-contrib = "==2025.0"
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pyparsing = "==3.2.1"
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python-dateutil = "==2.9.0.post0"
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pytz = "==2024.2"
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pyzmq = "==26.2.0"
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quart = "==0.20.0"
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quart-cors = "==0.8.0"
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scikit-learn = "==1.6.1"
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scipy = "==1.15.1"
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seaborn = "==0.13.2"
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six = "==1.17.0"
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stack-data = "==0.6.3"
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sympy = "==1.13.3"
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taskgroup = "==0.2.2"
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threadpoolctl = "==3.5.0"
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tomli = "==2.2.1"
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tornado = "==6.4.2"
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traitlets = "==5.14.3"
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typing-extensions = "==4.12.2"
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tzdata = "==2024.2"
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wcwidth = "==0.2.13"
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werkzeug = "==3.1.3"
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windrose = "==1.9.2"
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wsproto = "==1.2.0"
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xarray = "==2025.1.1"
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zope-event = "==5.0"
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zope-interface = "==7.2"
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109
zephyr.yaml
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109
zephyr.yaml
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name: zephyr
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channels:
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- defaults
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- https://repo.anaconda.com/pkgs/main
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- https://repo.anaconda.com/pkgs/r
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dependencies:
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- _libgcc_mutex=0.1=main
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- _openmp_mutex=5.1=1_gnu
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- bzip2=1.0.8=h5eee18b_6
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- ca-certificates=2024.12.31=h06a4308_0
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- ld_impl_linux-64=2.40=h12ee557_0
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- libffi=3.4.4=h6a678d5_1
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- libgcc-ng=11.2.0=h1234567_1
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- libgomp=11.2.0=h1234567_1
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- libstdcxx-ng=11.2.0=h1234567_1
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- libuuid=1.41.5=h5eee18b_0
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- ncurses=6.4=h6a678d5_0
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- openssl=3.0.15=h5eee18b_0
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- pip=24.2=py310h06a4308_0
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- python=3.10.11=h955ad1f_3
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- readline=8.2=h5eee18b_0
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- setuptools=75.1.0=py310h06a4308_0
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- sqlite=3.45.3=h5eee18b_0
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- tk=8.6.14=h39e8969_0
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- wheel=0.44.0=py310h06a4308_0
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- xz=5.4.6=h5eee18b_1
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- zlib=1.2.13=h5eee18b_1
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- pip:
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- aiofiles==24.1.0
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- altgraph==0.17.4
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- asttokens==3.0.0
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- blinker==1.9.0
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- certifi==2024.12.14
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- cftime==1.6.4.post1
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- click==8.1.8
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- comm==0.2.2
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- contourpy==1.3.1
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- cycler==0.12.1
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- debugpy==1.8.11
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- decorator==5.1.1
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- exceptiongroup==1.2.2
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- executing==2.1.0
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- flask==3.1.0
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- flask-cors==5.0.0
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- fonttools==4.55.3
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- gevent==24.11.1
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- greenlet==3.1.1
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- h11==0.14.0
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- h2==4.1.0
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- hpack==4.1.0
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- hypercorn==0.17.3
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- hyperframe==6.1.0
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- ipykernel==6.29.5
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- ipython==8.31.0
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- itsdangerous==2.2.0
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- jedi==0.19.2
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- jinja2==3.1.5
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- joblib==1.4.2
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- jupyter-client==8.6.3
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- jupyter-core==5.7.2
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- kiwisolver==1.4.8
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- markupsafe==3.0.2
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- matplotlib==3.10.0
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- matplotlib-inline==0.1.7
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- mpmath==1.3.0
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- nest-asyncio==1.6.0
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- netcdf4==1.7.2
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- numpy==2.2.1
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- packaging==24.2
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- pandas==2.2.3
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- parso==0.8.4
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- pexpect==4.9.0
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- pillow==11.1.0
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- platformdirs==4.3.6
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- priority==2.0.0
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- prompt-toolkit==3.0.48
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- psutil==6.1.1
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- ptyprocess==0.7.0
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- pure-eval==0.2.3
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- pyarrow==18.1.0
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- pygments==2.19.1
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- pyinstaller==6.11.1
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- pyinstaller-hooks-contrib==2025.0
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- pyparsing==3.2.1
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- python-dateutil==2.9.0.post0
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- pytz==2024.2
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- pyzmq==26.2.0
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- quart==0.20.0
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- quart-cors==0.8.0
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- scikit-learn==1.6.1
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- scipy==1.15.1
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- seaborn==0.13.2
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- six==1.17.0
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- stack-data==0.6.3
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- sympy==1.13.3
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- taskgroup==0.2.2
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- threadpoolctl==3.5.0
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- tomli==2.2.1
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- tornado==6.4.2
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- traitlets==5.14.3
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- typing-extensions==4.12.2
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- tzdata==2024.2
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- wcwidth==0.2.13
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- werkzeug==3.1.3
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- windrose==1.9.2
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- wsproto==1.2.0
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- xarray==2025.1.1
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- zope-event==5.0
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- zope-interface==7.2
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