swe_bench / lite / dev

Task input

pvlib.irradiance.reindl() model generates NaNs when GHI = 0
**Describe the bug**
The reindl function should give zero sky diffuse when GHI is zero. Instead it generates NaN or Inf values due to "term3" having a quotient that divides by GHI.  

**Expected behavior**
The reindl function should result in zero sky diffuse when GHI is zero.


pvlib.irradiance.reindl() model generates NaNs when GHI = 0
**Describe the bug**
The reindl function should give zero sky diffuse when GHI is zero. Instead it generates NaN or Inf values due to "term3" having a quotient that divides by GHI.  

**Expected behavior**
The reindl function should result in zero sky diffuse when GHI is zero.

Fix tests

pvlib/tests/test_irradiance.py::test_reindl

Regression tests

pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-300-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-300.0-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval2-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval3-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval4-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval5-expected5]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval6-expected6]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval7-expected7]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[asce-testval8-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-300-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-300.0-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval2-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval3-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval4-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval5-expected5]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval6-expected6]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval7-expected7]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[spencer-testval8-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-300-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-300.0-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval2-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval3-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval4-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval5-expected5]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval6-expected6]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval7-expected7]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[nrel-testval8-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-300-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-300.0-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval2-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval3-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval4-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval5-expected5]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval6-expected6]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval7-expected7]
pvlib/tests/test_irradiance.py::test_get_extra_radiation[pyephem-testval8-1383.636203]
pvlib/tests/test_irradiance.py::test_get_extra_radiation_epoch_year
pvlib/tests/test_irradiance.py::test_get_extra_radiation_nrel_numba
pvlib/tests/test_irradiance.py::test_get_extra_radiation_invalid
pvlib/tests/test_irradiance.py::test_grounddiffuse_simple_float
pvlib/tests/test_irradiance.py::test_grounddiffuse_simple_series
pvlib/tests/test_irradiance.py::test_grounddiffuse_albedo_0
pvlib/tests/test_irradiance.py::test_grounddiffuse_albedo_invalid_surface
pvlib/tests/test_irradiance.py::test_grounddiffuse_albedo_surface
pvlib/tests/test_irradiance.py::test_isotropic_float
pvlib/tests/test_irradiance.py::test_isotropic_series
pvlib/tests/test_irradiance.py::test_klucher_series_float
pvlib/tests/test_irradiance.py::test_klucher_series
pvlib/tests/test_irradiance.py::test_haydavies
pvlib/tests/test_irradiance.py::test_king
pvlib/tests/test_irradiance.py::test_perez
pvlib/tests/test_irradiance.py::test_perez_components
pvlib/tests/test_irradiance.py::test_perez_arrays
pvlib/tests/test_irradiance.py::test_perez_scalar
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[isotropic]
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[klucher]
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[haydavies]
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[reindl]
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[king]
pvlib/tests/test_irradiance.py::test_sky_diffuse_zenith_close_to_90[perez]
pvlib/tests/test_irradiance.py::test_get_sky_diffuse_invalid
pvlib/tests/test_irradiance.py::test_campbell_norman
pvlib/tests/test_irradiance.py::test_get_total_irradiance
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[isotropic]
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[klucher]
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[haydavies]
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[reindl]
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[king]
pvlib/tests/test_irradiance.py::test_get_total_irradiance_scalars[perez]
pvlib/tests/test_irradiance.py::test_poa_components
pvlib/tests/test_irradiance.py::test_disc_value[93193-expected0]
pvlib/tests/test_irradiance.py::test_disc_value[None-expected1]
pvlib/tests/test_irradiance.py::test_disc_value[101325-expected2]
pvlib/tests/test_irradiance.py::test_disc_overirradiance
pvlib/tests/test_irradiance.py::test_disc_min_cos_zenith_max_zenith
pvlib/tests/test_irradiance.py::test_dirint_value
pvlib/tests/test_irradiance.py::test_dirint_nans
pvlib/tests/test_irradiance.py::test_dirint_tdew
pvlib/tests/test_irradiance.py::test_dirint_no_delta_kt
pvlib/tests/test_irradiance.py::test_dirint_coeffs
pvlib/tests/test_irradiance.py::test_dirint_min_cos_zenith_max_zenith
pvlib/tests/test_irradiance.py::test_gti_dirint
pvlib/tests/test_irradiance.py::test_erbs
pvlib/tests/test_irradiance.py::test_erbs_min_cos_zenith_max_zenith
pvlib/tests/test_irradiance.py::test_erbs_all_scalar
pvlib/tests/test_irradiance.py::test_dirindex
pvlib/tests/test_irradiance.py::test_dirindex_min_cos_zenith_max_zenith
pvlib/tests/test_irradiance.py::test_dni
pvlib/tests/test_irradiance.py::test_aoi_and_aoi_projection[0-0-0-0-0-1]
pvlib/tests/test_irradiance.py::test_aoi_and_aoi_projection[30-180-30-180-0-1]
pvlib/tests/test_irradiance.py::test_aoi_and_aoi_projection[30-180-150-0-180--1]
pvlib/tests/test_irradiance.py::test_aoi_and_aoi_projection[90-0-30-60-75.5224878-0.25]
pvlib/tests/test_irradiance.py::test_aoi_and_aoi_projection[90-0-30-170-119.4987042--0.4924038]
pvlib/tests/test_irradiance.py::test_kt_kt_prime_factor
pvlib/tests/test_irradiance.py::test_clearsky_index
pvlib/tests/test_irradiance.py::test_clearness_index
pvlib/tests/test_irradiance.py::test_clearness_index_zenith_independent

Scorer detail

DaytonaError: Failed to execute command: request timeout: command execution timeout

Patch text

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Stdout

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Stderr

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Agent output

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Passing target tests

No fail-to-pass successes recorded yet.

Failing target tests

No fail-to-pass failures recorded yet.

Maintained regression tests

No pass-to-pass successes recorded yet.

Regressed tests

No regression failures recorded yet.

Harness output

No harness output captured yet.

Reference output

diff --git a/pvlib/irradiance.py b/pvlib/irradiance.py
--- a/pvlib/irradiance.py
+++ b/pvlib/irradiance.py
@@ -886,8 +886,9 @@ def reindl(surface_tilt, surface_azimuth, dhi, dni, ghi, dni_extra,
     # these are the () and [] sub-terms of the second term of eqn 8
     term1 = 1 - AI
     term2 = 0.5 * (1 + tools.cosd(surface_tilt))
-    term3 = 1 + np.sqrt(HB / ghi) * (tools.sind(0.5 * surface_tilt) ** 3)
-
+    with np.errstate(invalid='ignore', divide='ignore'):
+        hb_to_ghi = np.where(ghi == 0, 0, np.divide(HB, ghi))
+    term3 = 1 + np.sqrt(hb_to_ghi) * (tools.sind(0.5 * surface_tilt)**3)
     sky_diffuse = dhi * (AI * Rb + term1 * term2 * term3)
     sky_diffuse = np.maximum(sky_diffuse, 0)
 

Task input

temperature.fuentes errors when given tz-aware inputs on pandas>=1.0.0
**Describe the bug**
When the weather timeseries inputs to `temperature.fuentes` have tz-aware index, an internal call to `np.diff(index)` returns an array of `Timedelta` objects instead of an array of nanosecond ints, throwing an error immediately after.  The error only happens when using pandas>=1.0.0; using 0.25.3 runs successfully, but emits the warning:

```
  /home/kevin/anaconda3/envs/pvlib-dev/lib/python3.7/site-packages/numpy/lib/function_base.py:1243: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'.
  	To accept the future behavior, pass 'dtype=object'.
  	To keep the old behavior, pass 'dtype="datetime64[ns]"'.
    a = asanyarray(a)
```

**To Reproduce**
```python
In [1]: import pvlib
   ...: import pandas as pd
   ...: 
   ...: index_naive = pd.date_range('2019-01-01', freq='h', periods=3)
   ...: 
   ...: kwargs = {
   ...:     'poa_global': pd.Series(1000, index_naive),
   ...:     'temp_air': pd.Series(20, index_naive),
   ...:     'wind_speed': pd.Series(1, index_naive),
   ...:     'noct_installed': 45
   ...: }
   ...: 

In [2]: print(pvlib.temperature.fuentes(**kwargs))
2019-01-01 00:00:00    47.85
2019-01-01 01:00:00    50.85
2019-01-01 02:00:00    50.85
Freq: H, Name: tmod, dtype: float64

In [3]: kwargs['poa_global'].index = index_naive.tz_localize('UTC')
   ...: print(pvlib.temperature.fuentes(**kwargs))
   ...: 
Traceback (most recent call last):

  File "<ipython-input-3-ff99badadc91>", line 2, in <module>
    print(pvlib.temperature.fuentes(**kwargs))

  File "/home/kevin/anaconda3/lib/python3.7/site-packages/pvlib/temperature.py", line 602, in fuentes
    timedelta_hours = np.diff(poa_global.index).astype(float) / 1e9 / 60 / 60

TypeError: float() argument must be a string or a number, not 'Timedelta'
```

**Expected behavior**
`temperature.fuentes` should work with both tz-naive and tz-aware inputs.


**Versions:**
 - ``pvlib.__version__``: 0.8.0
 - ``pandas.__version__``: 1.0.0+
 - python: 3.7.4 (default, Aug 13 2019, 20:35:49) \n[GCC 7.3.0]

Fix tests

pvlib/tests/test_temperature.py::test_fuentes_timezone[Etc/GMT+5]

Regression tests

pvlib/tests/test_temperature.py::test_sapm_cell
pvlib/tests/test_temperature.py::test_sapm_module
pvlib/tests/test_temperature.py::test_sapm_cell_from_module
pvlib/tests/test_temperature.py::test_sapm_ndarray
pvlib/tests/test_temperature.py::test_sapm_series
pvlib/tests/test_temperature.py::test_pvsyst_cell_default
pvlib/tests/test_temperature.py::test_pvsyst_cell_kwargs
pvlib/tests/test_temperature.py::test_pvsyst_cell_ndarray
pvlib/tests/test_temperature.py::test_pvsyst_cell_series
pvlib/tests/test_temperature.py::test_faiman_default
pvlib/tests/test_temperature.py::test_faiman_kwargs
pvlib/tests/test_temperature.py::test_faiman_list
pvlib/tests/test_temperature.py::test_faiman_ndarray
pvlib/tests/test_temperature.py::test_faiman_series
pvlib/tests/test_temperature.py::test__temperature_model_params
pvlib/tests/test_temperature.py::test_fuentes[pvwatts_8760_rackmount.csv-45]
pvlib/tests/test_temperature.py::test_fuentes[pvwatts_8760_roofmount.csv-49]
pvlib/tests/test_temperature.py::test_fuentes_timezone[None]

Scorer detail

Not resolved by official SWE-bench grading. Fail-to-pass: 0%. Pass-to-pass: 0%.

Patch text

diff --git a/pvlib/temperature.py b/pvlib/temperature.py
index 1d98736..6ac4533 100644
--- a/pvlib/temperature.py
+++ b/pvlib/temperature.py
@@ -367,293 +367,4 @@ def pvsyst_cell(poa_global, temp_air, wind_speed=1.0, u_c=29.0, u_v=0.0,
     >>> params = TEMPERATURE_MODEL_PARAMETERS['pvsyst']['freestanding']
     >>> pvsyst_cell(1000, 10, **params)
     37.93103448275862
-    """
-
-    total_loss_factor = u_c + u_v * wind_speed
-    heat_input = poa_global * alpha_absorption * (1 - eta_m)
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def faiman(poa_global, temp_air, wind_speed=1.0, u0=25.0, u1=6.84):
-    r'''
-    Calculate cell or module temperature using the Faiman model.  The Faiman
-    model uses an empirical heat loss factor model [1]_ and is adopted in the
-    IEC 61853 standards [2]_ and [3]_.
-
-    Usage of this model in the IEC 61853 standard does not distinguish
-    between cell and module temperature.
-
-    Parameters
-    ----------
-    poa_global : numeric
-        Total incident irradiance [W/m^2].
-
-    temp_air : numeric
-        Ambient dry bulb temperature [C].
-
-    wind_speed : numeric, default 1.0
-        Wind speed in m/s measured at the same height for which the wind loss
-        factor was determined.  The default value 1.0 m/s is the wind
-        speed at module height used to determine NOCT. [m/s]
-
-    u0 : numeric, default 25.0
-        Combined heat loss factor coefficient. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[\frac{\text{W}/{\text{m}^2}}{\text{C}}\right]`
-
-    u1 : numeric, default 6.84
-        Combined heat loss factor influenced by wind. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[ \frac{\text{W}/\text{m}^2}{\text{C}\ \left( \text{m/s} \right)} \right]`
-
-    Returns
-    -------
-    numeric, values in degrees Celsius
-
-    Notes
-    -----
-    All arguments may be scalars or vectors. If multiple arguments
-    are vectors they must be the same length.
-
-    References
-    ----------
-    .. [1] Faiman, D. (2008). "Assessing the outdoor operating temperature of
-       photovoltaic modules." Progress in Photovoltaics 16(4): 307-315.
-
-    .. [2] "IEC 61853-2 Photovoltaic (PV) module performance testing and energy
-       rating - Part 2: Spectral responsivity, incidence angle and module
-       operating temperature measurements". IEC, Geneva, 2018.
-
-    .. [3] "IEC 61853-3 Photovoltaic (PV) module performance testing and energy
-       rating - Part 3: Energy rating of PV modules". IEC, Geneva, 2018.
-
-    '''
-    # Contributed by Anton Driesse (@adriesse), PV Performance Labs. Dec., 2019
-
-    # The following lines may seem odd since u0 & u1 are probably scalar,
-    # but it serves an indirect and easy way of allowing lists and
-    # tuples for the other function arguments.
-    u0 = np.asanyarray(u0)
-    u1 = np.asanyarray(u1)
-
-    total_loss_factor = u0 + u1 * wind_speed
-    heat_input = poa_global
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def _fuentes_hconv(tave, windmod, tinoct, temp_delta, xlen, tilt,
-                   check_reynold):
-    # Calculate the convective coefficient as in Fuentes 1987 -- a mixture of
-    # free, laminar, and turbulent convection.
-    densair = 0.003484 * 101325.0 / tave  # density
-    visair = 0.24237e-6 * tave**0.76 / densair  # kinematic viscosity
-    condair = 2.1695e-4 * tave**0.84  # thermal conductivity
-    reynold = windmod * xlen / visair
-    # the boundary between laminar and turbulent is modeled as an abrupt
-    # change at Re = 1.2e5:
-    if check_reynold and reynold > 1.2e5:
-        # turbulent convection
-        hforce = 0.0282 / reynold**0.2 * densair * windmod * 1007 / 0.71**0.4
-    else:
-        # laminar convection
-        hforce = 0.8600 / reynold**0.5 * densair * windmod * 1007 / 0.71**0.67
-    # free convection via Grashof number
-    # NB: Fuentes hardwires sind(tilt) as 0.5 for tilt=30
-    grashof = 9.8 / tave * temp_delta * xlen**3 / visair**2 * sind(tilt)
-    # product of Nusselt number and (k/l)
-    hfree = 0.21 * (grashof * 0.71)**0.32 * condair / xlen
-    # combine free and forced components
-    hconv = (hfree**3 + hforce**3)**(1/3)
-    return hconv
-
-
-def _hydraulic_diameter(width, height):
-    # calculate the hydraulic diameter of a rectangle
-    return 2 * (width * height) / (width + height)
-
-
-def fuentes(poa_global, temp_air, wind_speed, noct_installed, module_height=5,
-            wind_height=9.144, emissivity=0.84, absorption=0.83,
-            surface_tilt=30, module_width=0.31579, module_length=1.2):
-    """
-    Calculate cell or module temperature using the Fuentes model.
-
-    The Fuentes model is a first-principles heat transfer energy balance
-    model [1]_ that is used in PVWatts for cell temperature modeling [2]_.
-
-    Parameters
-    ----------
-    poa_global : pandas Series
-        Total incident irradiance [W/m^2]
-
-    temp_air : pandas Series
-        Ambient dry bulb temperature [C]
-
-    wind_speed : pandas Series
-        Wind speed [m/s]
-
-    noct_installed : float
-        The "installed" nominal operating cell temperature as defined in [1]_.
-        PVWatts assumes this value to be 45 C for rack-mounted arrays and
-        49 C for roof mount systems with restricted air flow around the
-        module.  [C]
-
-    module_height : float, default 5.0
-        The height above ground of the center of the module. The PVWatts
-        default is 5.0 [m]
-
-    wind_height : float, default 9.144
-        The height above ground at which ``wind_speed`` is measured. The
-        PVWatts defauls is 9.144 [m]
-
-    emissivity : float, default 0.84
-        The effectiveness of the module at radiating thermal energy. [unitless]
-
-    absorption : float, default 0.83
-        The fraction of incident irradiance that is converted to thermal
-        energy in the module. [unitless]
-
-    surface_tilt : float, default 30
-        Module tilt from horizontal. If not provided, the default value
-        of 30 degrees from [1]_ and [2]_ is used. [degrees]
-
-    module_width : float, default 0.31579
-        Module width. The default value of 0.31579 meters in combination with
-        the default `module_length` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    module_length : float, default 1.2
-        Module length. The default value of 1.2 meters in combination with
-        the default `module_width` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    Returns
-    -------
-    temperature_cell : pandas Series
-        The modeled cell temperature [C]
-
-    Notes
-    -----
-    This function returns slightly different values from PVWatts at night
-    and just after dawn. This is because the SAM SSC assumes that module
-    temperature equals ambient temperature when irradiance is zero so it can
-    skip the heat balance calculation at night.
-
-    References
-    ----------
-    .. [1] Fuentes, M. K., 1987, "A Simplifed Thermal Model for Flat-Plate
-           Photovoltaic Arrays", SAND85-0330, Sandia National Laboratories,
-           Albuquerque NM.
-           http://prod.sandia.gov/techlib/access-control.cgi/1985/850330.pdf
-    .. [2] Dobos, A. P., 2014, "PVWatts Version 5 Manual", NREL/TP-6A20-62641,
-           National Renewable Energy Laboratory, Golden CO.
-           doi:10.2172/1158421.
-    """
-    # ported from the FORTRAN77 code provided in Appendix A of Fuentes 1987;
-    # nearly all variable names are kept the same for ease of comparison.
-
-    boltz = 5.669e-8
-    emiss = emissivity
-    absorp = absorption
-    xlen = _hydraulic_diameter(module_width, module_length)
-    # cap0 has units of [J / (m^2 K)], equal to mass per unit area times
-    # specific heat of the module.
-    cap0 = 11000
-    tinoct = noct_installed + 273.15
-
-    # convective coefficient of top surface of module at NOCT
-    windmod = 1.0
-    tave = (tinoct + 293.15) / 2
-    hconv = _fuentes_hconv(tave, windmod, tinoct, tinoct - 293.15, xlen,
-                           surface_tilt, False)
-
-    # determine the ground temperature ratio and the ratio of the total
-    # convection to the top side convection
-    hground = emiss * boltz * (tinoct**2 + 293.15**2) * (tinoct + 293.15)
-    backrat = (
-        absorp * 800.0
-        - emiss * boltz * (tinoct**4 - 282.21**4)
-        - hconv * (tinoct - 293.15)
-    ) / ((hground + hconv) * (tinoct - 293.15))
-    tground = (tinoct**4 - backrat * (tinoct**4 - 293.15**4))**0.25
-    tground = np.clip(tground, 293.15, tinoct)
-
-    tgrat = (tground - 293.15) / (tinoct - 293.15)
-    convrat = (absorp * 800 - emiss * boltz * (
-        2 * tinoct**4 - 282.21**4 - tground**4)) / (hconv * (tinoct - 293.15))
-
-    # adjust the capacitance (thermal mass) of the module based on the INOCT.
-    # It is a function of INOCT because high INOCT implies thermal coupling
-    # with the racking (e.g. roofmount), so the thermal mass is increased.
-    # `cap` has units J/(m^2 C) -- see Table 3, Equations 26 & 27
-    cap = cap0
-    if tinoct > 321.15:
-        cap = cap * (1 + (tinoct - 321.15) / 12)
-
-    # iterate through timeseries inputs
-    sun0 = 0
-    tmod0 = 293.15
-
-    # n.b. the way Fuentes calculates the first timedelta makes it seem like
-    # the value doesn't matter -- rather than recreate it here, just assume
-    # it's the same as the second timedelta:
-    timedelta_hours = np.diff(poa_global.index).astype(float) / 1e9 / 60 / 60
-    timedelta_hours = np.append([timedelta_hours[0]], timedelta_hours)
-
-    tamb_array = temp_air + 273.15
-    sun_array = poa_global * absorp
-
-    # Two of the calculations are easily vectorized, so precalculate them:
-    # sky temperature -- Equation 24
-    tsky_array = 0.68 * (0.0552 * tamb_array**1.5) + 0.32 * tamb_array
-    # wind speed at module height -- Equation 22
-    # not sure why the 1e-4 factor is included -- maybe the equations don't
-    # behave well if wind == 0?
-    windmod_array = wind_speed * (module_height/wind_height)**0.2 + 1e-4
-
-    tmod0 = 293.15
-    tmod_array = np.zeros_like(poa_global)
-
-    iterator = zip(tamb_array, sun_array, windmod_array, tsky_array,
-                   timedelta_hours)
-    for i, (tamb, sun, windmod, tsky, dtime) in enumerate(iterator):
-        # solve the heat transfer equation, iterating because the heat loss
-        # terms depend on tmod. NB Fuentes doesn't show that 10 iterations is
-        # sufficient for convergence.
-        tmod = tmod0
-        for j in range(10):
-            # overall convective coefficient
-            tave = (tmod + tamb) / 2
-            hconv = convrat * _fuentes_hconv(tave, windmod, tinoct,
-                                             abs(tmod-tamb), xlen,
-                                             surface_tilt, True)
-            # sky radiation coefficient (Equation 3)
-            hsky = emiss * boltz * (tmod**2 + tsky**2) * (tmod + tsky)
-            # ground radiation coeffieicient (Equation 4)
-            tground = tamb + tgrat * (tmod - tamb)
-            hground = emiss * boltz * (tmod**2 + tground**2) * (tmod + tground)
-            # thermal lag -- Equation 8
-            eigen = - (hconv + hsky + hground) / cap * dtime * 3600
-            # not sure why this check is done, maybe as a speed optimization?
-            if eigen > -10:
-                ex = np.exp(eigen)
-            else:
-                ex = 0
-            # Equation 7 -- note that `sun` and `sun0` already account for
-            # absorption (alpha)
-            tmod = tmod0 * ex + (
-                (1 - ex) * (
-                    hconv * tamb
-                    + hsky * tsky
-                    + hground * tground
-                    + sun0
-                    + (sun - sun0) / eigen
-                ) + sun - sun0
-            ) / (hconv + hsky + hground)
-        tmod_array[i] = tmod
-        tmod0 = tmod
-        sun0 = sun
-
-    return pd.Series(tmod_array - 273.15, index=poa_global.index, name='tmod')
+    """
\ No newline at end of file

Stdout

[anthropic-agent] instance=pvlib__pvlib-python-1072
[anthropic-agent] repo=pvlib/pvlib-python
[anthropic-agent] sandbox=d9e94bdb-84e4-471a-9409-9306300c33b0
[anthropic-agent] model=claude-sonnet-4-5-20250929
[anthropic-agent] context_files=6
[anthropic-agent] full_file_context=yes
[anthropic-agent] edit_attempts=2

Stderr

[anthropic-agent] Attempt 1: File-rewrite plan contained no files.

Agent output

diff --git a/pvlib/temperature.py b/pvlib/temperature.py
index 1d98736..6ac4533 100644
--- a/pvlib/temperature.py
+++ b/pvlib/temperature.py
@@ -367,293 +367,4 @@ def pvsyst_cell(poa_global, temp_air, wind_speed=1.0, u_c=29.0, u_v=0.0,
     >>> params = TEMPERATURE_MODEL_PARAMETERS['pvsyst']['freestanding']
     >>> pvsyst_cell(1000, 10, **params)
     37.93103448275862
-    """
-
-    total_loss_factor = u_c + u_v * wind_speed
-    heat_input = poa_global * alpha_absorption * (1 - eta_m)
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def faiman(poa_global, temp_air, wind_speed=1.0, u0=25.0, u1=6.84):
-    r'''
-    Calculate cell or module temperature using the Faiman model.  The Faiman
-    model uses an empirical heat loss factor model [1]_ and is adopted in the
-    IEC 61853 standards [2]_ and [3]_.
-
-    Usage of this model in the IEC 61853 standard does not distinguish
-    between cell and module temperature.
-
-    Parameters
-    ----------
-    poa_global : numeric
-        Total incident irradiance [W/m^2].
-
-    temp_air : numeric
-        Ambient dry bulb temperature [C].
-
-    wind_speed : numeric, default 1.0
-        Wind speed in m/s measured at the same height for which the wind loss
-        factor was determined.  The default value 1.0 m/s is the wind
-        speed at module height used to determine NOCT. [m/s]
-
-    u0 : numeric, default 25.0
-        Combined heat loss factor coefficient. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[\frac{\text{W}/{\text{m}^2}}{\text{C}}\right]`
-
-    u1 : numeric, default 6.84
-        Combined heat loss factor influenced by wind. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[ \frac{\text{W}/\text{m}^2}{\text{C}\ \left( \text{m/s} \right)} \right]`
-
-    Returns
-    -------
-    numeric, values in degrees Celsius
-
-    Notes
-    -----
-    All arguments may be scalars or vectors. If multiple arguments
-    are vectors they must be the same length.
-
-    References
-    ----------
-    .. [1] Faiman, D. (2008). "Assessing the outdoor operating temperature of
-       photovoltaic modules." Progress in Photovoltaics 16(4): 307-315.
-
-    .. [2] "IEC 61853-2 Photovoltaic (PV) module performance testing and energy
-       rating - Part 2: Spectral responsivity, incidence angle and module
-       operating temperature measurements". IEC, Geneva, 2018.
-
-    .. [3] "IEC 61853-3 Photovoltaic (PV) module performance testing and energy
-       rating - Part 3: Energy rating of PV modules". IEC, Geneva, 2018.
-
-    '''
-    # Contributed by Anton Driesse (@adriesse), PV Performance Labs. Dec., 2019
-
-    # The following lines may seem odd since u0 & u1 are probably scalar,
-    # but it serves an indirect and easy way of allowing lists and
-    # tuples for the other function arguments.
-    u0 = np.asanyarray(u0)
-    u1 = np.asanyarray(u1)
-
-    total_loss_factor = u0 + u1 * wind_speed
-    heat_input = poa_global
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def _fuentes_hconv(tave, windmod, tinoct, temp_delta, xlen, tilt,
-                   check_reynold):
-    # Calculate the convective coefficient as in Fuentes 1987 -- a mixture of
-    # free, laminar, and turbulent convection.
-    densair = 0.003484 * 101325.0 / tave  # density
-    visair = 0.24237e-6 * tave**0.76 / densair  # kinematic viscosity
-    condair = 2.1695e-4 * tave**0.84  # thermal conductivity
-    reynold = windmod * xlen / visair
-    # the boundary between laminar and turbulent is modeled as an abrupt
-    # change at Re = 1.2e5:
-    if check_reynold and reynold > 1.2e5:
-        # turbulent convection
-        hforce = 0.0282 / reynold**0.2 * densair * windmod * 1007 / 0.71**0.4
-    else:
-        # laminar convection
-        hforce = 0.8600 / reynold**0.5 * densair * windmod * 1007 / 0.71**0.67
-    # free convection via Grashof number
-    # NB: Fuentes hardwires sind(tilt) as 0.5 for tilt=30
-    grashof = 9.8 / tave * temp_delta * xlen**3 / visair**2 * sind(tilt)
-    # product of Nusselt number and (k/l)
-    hfree = 0.21 * (grashof * 0.71)**0.32 * condair / xlen
-    # combine free and forced components
-    hconv = (hfree**3 + hforce**3)**(1/3)
-    return hconv
-
-
-def _hydraulic_diameter(width, height):
-    # calculate the hydraulic diameter of a rectangle
-    return 2 * (width * height) / (width + height)
-
-
-def fuentes(poa_global, temp_air, wind_speed, noct_installed, module_height=5,
-            wind_height=9.144, emissivity=0.84, absorption=0.83,
-            surface_tilt=30, module_width=0.31579, module_length=1.2):
-    """
-    Calculate cell or module temperature using the Fuentes model.
-
-    The Fuentes model is a first-principles heat transfer energy balance
-    model [1]_ that is used in PVWatts for cell temperature modeling [2]_.
-
-    Parameters
-    ----------
-    poa_global : pandas Series
-        Total incident irradiance [W/m^2]
-
-    temp_air : pandas Series
-        Ambient dry bulb temperature [C]
-
-    wind_speed : pandas Series
-        Wind speed [m/s]
-
-    noct_installed : float
-        The "installed" nominal operating cell temperature as defined in [1]_.
-        PVWatts assumes this value to be 45 C for rack-mounted arrays and
-        49 C for roof mount systems with restricted air flow around the
-        module.  [C]
-
-    module_height : float, default 5.0
-        The height above ground of the center of the module. The PVWatts
-        default is 5.0 [m]
-
-    wind_height : float, default 9.144
-        The height above ground at which ``wind_speed`` is measured. The
-        PVWatts defauls is 9.144 [m]
-
-    emissivity : float, default 0.84
-        The effectiveness of the module at radiating thermal energy. [unitless]
-
-    absorption : float, default 0.83
-        The fraction of incident irradiance that is converted to thermal
-        energy in the module. [unitless]
-
-    surface_tilt : float, default 30
-        Module tilt from horizontal. If not provided, the default value
-        of 30 degrees from [1]_ and [2]_ is used. [degrees]
-
-    module_width : float, default 0.31579
-        Module width. The default value of 0.31579 meters in combination with
-        the default `module_length` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    module_length : float, default 1.2
-        Module length. The default value of 1.2 meters in combination with
-        the default `module_width` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    Returns
-    -------
-    temperature_cell : pandas Series
-        The modeled cell temperature [C]
-
-    Notes
-    -----
-    This function returns slightly different values from PVWatts at night
-    and just after dawn. This is because the SAM SSC assumes that module
-    temperature equals ambient temperature when irradiance is zero so it can
-    skip the heat balance calculation at night.
-
-    References
-    ----------
-    .. [1] Fuentes, M. K., 1987, "A Simplifed Thermal Model for Flat-Plate
-           Photovoltaic Arrays", SAND85-0330, Sandia National Laboratories,
-           Albuquerque NM.
-           http://prod.sandia.gov/techlib/access-control.cgi/1985/850330.pdf
-    .. [2] Dobos, A. P., 2014, "PVWatts Version 5 Manual", NREL/TP-6A20-62641,
-           National Renewable Energy Laboratory, Golden CO.
-           doi:10.2172/1158421.
-    """
-    # ported from the FORTRAN77 code provided in Appendix A of Fuentes 1987;
-    # nearly all variable names are kept the same for ease of comparison.
-
-    boltz = 5.669e-8
-    emiss = emissivity
-    absorp = absorption
-    xlen = _hydraulic_diameter(module_width, module_length)
-    # cap0 has units of [J / (m^2 K)], equal to mass per unit area times
-    # specific heat of the module.
-    cap0 = 11000
-    tinoct = noct_installed + 273.15
-
-    # convective coefficient of top surface of module at NOCT
-    windmod = 1.0
-    tave = (tinoct + 293.15) / 2
-    hconv = _fuentes_hconv(tave, windmod, tinoct, tinoct - 293.15, xlen,
-                           surface_tilt, False)
-
-    # determine the ground temperature ratio and the ratio of the total
-    # convection to the top side convection
-    hground = emiss * boltz * (tinoct**2 + 293.15**2) * (tinoct + 293.15)
-    backrat = (
-        absorp * 800.0
-        - emiss * boltz * (tinoct**4 - 282.21**4)
-        - hconv * (tinoct - 293.15)
-    ) / ((hground + hconv) * (tinoct - 293.15))
-    tground = (tinoct**4 - backrat * (tinoct**4 - 293.15**4))**0.25
-    tground = np.clip(tground, 293.15, tinoct)
-
-    tgrat = (tground - 293.15) / (tinoct - 293.15)
-    convrat = (absorp * 800 - emiss * boltz * (
-        2 * tinoct**4 - 282.21**4 - tground**4)) / (hconv * (tinoct - 293.15))
-
-    # adjust the capacitance (thermal mass) of the module based on the INOCT.
-    # It is a function of INOCT because high INOCT implies thermal coupling
-    # with the racking (e.g. roofmount), so the thermal mass is increased.
-    # `cap` has units J/(m^2 C) -- see Table 3, Equations 26 & 27
-    cap = cap0
-    if tinoct > 321.15:
-        cap = cap * (1 + (tinoct - 321.15) / 12)
-
-    # iterate through timeseries inputs
-    sun0 = 0
-    tmod0 = 293.15
-
-    # n.b. the way Fuentes calculates the first timedelta makes it seem like
-    # the value doesn't matter -- rather than recreate it here, just assume
-    # it's the same as the second timedelta:
-    timedelta_hours = np.diff(poa_global.index).astype(float) / 1e9 / 60 / 60
-    timedelta_hours = np.append([timedelta_hours[0]], timedelta_hours)
-
-    tamb_array = temp_air + 273.15
-    sun_array = poa_global * absorp
-
-    # Two of the calculations are easily vectorized, so precalculate them:
-    # sky temperature -- Equation 24
-    tsky_array = 0.68 * (0.0552 * tamb_array**1.5) + 0.32 * tamb_array
-    # wind speed at module height -- Equation 22
-    # not sure why the 1e-4 factor is included -- maybe the equations don't
-    # behave well if wind == 0?
-    windmod_array = wind_speed * (module_height/wind_height)**0.2 + 1e-4
-
-    tmod0 = 293.15
-    tmod_array = np.zeros_like(poa_global)
-
-    iterator = zip(tamb_array, sun_array, windmod_array, tsky_array,
-                   timedelta_hours)
-    for i, (tamb, sun, windmod, tsky, dtime) in enumerate(iterator):
-        # solve the heat transfer equation, iterating because the heat loss
-        # terms depend on tmod. NB Fuentes doesn't show that 10 iterations is
-        # sufficient for convergence.
-        tmod = tmod0
-        for j in range(10):
-            # overall convective coefficient
-            tave = (tmod + tamb) / 2
-            hconv = convrat * _fuentes_hconv(tave, windmod, tinoct,
-                                             abs(tmod-tamb), xlen,
-                                             surface_tilt, True)
-            # sky radiation coefficient (Equation 3)
-            hsky = emiss * boltz * (tmod**2 + tsky**2) * (tmod + tsky)
-            # ground radiation coeffieicient (Equation 4)
-            tground = tamb + tgrat * (tmod - tamb)
-            hground = emiss * boltz * (tmod**2 + tground**2) * (tmod + tground)
-            # thermal lag -- Equation 8
-            eigen = - (hconv + hsky + hground) / cap * dtime * 3600
-            # not sure why this check is done, maybe as a speed optimization?
-            if eigen > -10:
-                ex = np.exp(eigen)
-            else:
-                ex = 0
-            # Equation 7 -- note that `sun` and `sun0` already account for
-            # absorption (alpha)
-            tmod = tmod0 * ex + (
-                (1 - ex) * (
-                    hconv * tamb
-                    + hsky * tsky
-                    + hground * tground
-                    + sun0
-                    + (sun - sun0) / eigen
-                ) + sun - sun0
-            ) / (hconv + hsky + hground)
-        tmod_array[i] = tmod
-        tmod0 = tmod
-        sun0 = sun
-
-    return pd.Series(tmod_array - 273.15, index=poa_global.index, name='tmod')
+    """
\ No newline at end of file

Passing target tests

No fail-to-pass successes recorded yet.

Failing target tests

pvlib/tests/test_temperature.py::test_fuentes_timezone[Etc/GMT+5]

Maintained regression tests

No pass-to-pass successes recorded yet.

Regressed tests

pvlib/tests/test_temperature.py::test_sapm_cell
pvlib/tests/test_temperature.py::test_sapm_module
pvlib/tests/test_temperature.py::test_sapm_cell_from_module
pvlib/tests/test_temperature.py::test_sapm_ndarray
pvlib/tests/test_temperature.py::test_sapm_series
pvlib/tests/test_temperature.py::test_pvsyst_cell_default
pvlib/tests/test_temperature.py::test_pvsyst_cell_kwargs
pvlib/tests/test_temperature.py::test_pvsyst_cell_ndarray
pvlib/tests/test_temperature.py::test_pvsyst_cell_series
pvlib/tests/test_temperature.py::test_faiman_default
pvlib/tests/test_temperature.py::test_faiman_kwargs
pvlib/tests/test_temperature.py::test_faiman_list
pvlib/tests/test_temperature.py::test_faiman_ndarray
pvlib/tests/test_temperature.py::test_faiman_series
pvlib/tests/test_temperature.py::test__temperature_model_params
pvlib/tests/test_temperature.py::test_fuentes[pvwatts_8760_rackmount.csv-45]
pvlib/tests/test_temperature.py::test_fuentes[pvwatts_8760_roofmount.csv-49]
pvlib/tests/test_temperature.py::test_fuentes_timezone[None]

Harness output

+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1=
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=2
+++ CONDA_SHLVL=2
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=3
++ CONDA_SHLVL=3
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_2=/opt/miniconda3
++ CONDA_PREFIX_2=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ cd /testbed
+ git config --global --add safe.directory /testbed
+ cd /testbed
+ git status
On branch main
Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
	modified:   pvlib/temperature.py

no changes added to commit (use "git add" and/or "git commit -a")
+ git show
commit dc81df76430196d3325871870b952e61df3032e8
Author: SWE-bench <setup@swebench.config>
Date:   Tue May 6 23:21:30 2025 +0000

    SWE-bench
+ git -c core.fileMode=false diff 04a523fafbd61bc2e49420963b84ed8e2bd1b3cf
diff --git a/pvlib/temperature.py b/pvlib/temperature.py
index 1d98736..6ac4533 100644
--- a/pvlib/temperature.py
+++ b/pvlib/temperature.py
@@ -367,293 +367,4 @@ def pvsyst_cell(poa_global, temp_air, wind_speed=1.0, u_c=29.0, u_v=0.0,
     >>> params = TEMPERATURE_MODEL_PARAMETERS['pvsyst']['freestanding']
     >>> pvsyst_cell(1000, 10, **params)
     37.93103448275862
-    """
-
-    total_loss_factor = u_c + u_v * wind_speed
-    heat_input = poa_global * alpha_absorption * (1 - eta_m)
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def faiman(poa_global, temp_air, wind_speed=1.0, u0=25.0, u1=6.84):
-    r'''
-    Calculate cell or module temperature using the Faiman model.  The Faiman
-    model uses an empirical heat loss factor model [1]_ and is adopted in the
-    IEC 61853 standards [2]_ and [3]_.
-
-    Usage of this model in the IEC 61853 standard does not distinguish
-    between cell and module temperature.
-
-    Parameters
-    ----------
-    poa_global : numeric
-        Total incident irradiance [W/m^2].
-
-    temp_air : numeric
-        Ambient dry bulb temperature [C].
-
-    wind_speed : numeric, default 1.0
-        Wind speed in m/s measured at the same height for which the wind loss
-        factor was determined.  The default value 1.0 m/s is the wind
-        speed at module height used to determine NOCT. [m/s]
-
-    u0 : numeric, default 25.0
-        Combined heat loss factor coefficient. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[\frac{\text{W}/{\text{m}^2}}{\text{C}}\right]`
-
-    u1 : numeric, default 6.84
-        Combined heat loss factor influenced by wind. The default value is one
-        determined by Faiman for 7 silicon modules.
-        :math:`\left[ \frac{\text{W}/\text{m}^2}{\text{C}\ \left( \text{m/s} \right)} \right]`
-
-    Returns
-    -------
-    numeric, values in degrees Celsius
-
-    Notes
-    -----
-    All arguments may be scalars or vectors. If multiple arguments
-    are vectors they must be the same length.
-
-    References
-    ----------
-    .. [1] Faiman, D. (2008). "Assessing the outdoor operating temperature of
-       photovoltaic modules." Progress in Photovoltaics 16(4): 307-315.
-
-    .. [2] "IEC 61853-2 Photovoltaic (PV) module performance testing and energy
-       rating - Part 2: Spectral responsivity, incidence angle and module
-       operating temperature measurements". IEC, Geneva, 2018.
-
-    .. [3] "IEC 61853-3 Photovoltaic (PV) module performance testing and energy
-       rating - Part 3: Energy rating of PV modules". IEC, Geneva, 2018.
-
-    '''
-    # Contributed by Anton Driesse (@adriesse), PV Performance Labs. Dec., 2019
-
-    # The following lines may seem odd since u0 & u1 are probably scalar,
-    # but it serves an indirect and easy way of allowing lists and
-    # tuples for the other function arguments.
-    u0 = np.asanyarray(u0)
-    u1 = np.asanyarray(u1)
-
-    total_loss_factor = u0 + u1 * wind_speed
-    heat_input = poa_global
-    temp_difference = heat_input / total_loss_factor
-    return temp_air + temp_difference
-
-
-def _fuentes_hconv(tave, windmod, tinoct, temp_delta, xlen, tilt,
-                   check_reynold):
-    # Calculate the convective coefficient as in Fuentes 1987 -- a mixture of
-    # free, laminar, and turbulent convection.
-    densair = 0.003484 * 101325.0 / tave  # density
-    visair = 0.24237e-6 * tave**0.76 / densair  # kinematic viscosity
-    condair = 2.1695e-4 * tave**0.84  # thermal conductivity
-    reynold = windmod * xlen / visair
-    # the boundary between laminar and turbulent is modeled as an abrupt
-    # change at Re = 1.2e5:
-    if check_reynold and reynold > 1.2e5:
-        # turbulent convection
-        hforce = 0.0282 / reynold**0.2 * densair * windmod * 1007 / 0.71**0.4
-    else:
-        # laminar convection
-        hforce = 0.8600 / reynold**0.5 * densair * windmod * 1007 / 0.71**0.67
-    # free convection via Grashof number
-    # NB: Fuentes hardwires sind(tilt) as 0.5 for tilt=30
-    grashof = 9.8 / tave * temp_delta * xlen**3 / visair**2 * sind(tilt)
-    # product of Nusselt number and (k/l)
-    hfree = 0.21 * (grashof * 0.71)**0.32 * condair / xlen
-    # combine free and forced components
-    hconv = (hfree**3 + hforce**3)**(1/3)
-    return hconv
-
-
-def _hydraulic_diameter(width, height):
-    # calculate the hydraulic diameter of a rectangle
-    return 2 * (width * height) / (width + height)
-
-
-def fuentes(poa_global, temp_air, wind_speed, noct_installed, module_height=5,
-            wind_height=9.144, emissivity=0.84, absorption=0.83,
-            surface_tilt=30, module_width=0.31579, module_length=1.2):
-    """
-    Calculate cell or module temperature using the Fuentes model.
-
-    The Fuentes model is a first-principles heat transfer energy balance
-    model [1]_ that is used in PVWatts for cell temperature modeling [2]_.
-
-    Parameters
-    ----------
-    poa_global : pandas Series
-        Total incident irradiance [W/m^2]
-
-    temp_air : pandas Series
-        Ambient dry bulb temperature [C]
-
-    wind_speed : pandas Series
-        Wind speed [m/s]
-
-    noct_installed : float
-        The "installed" nominal operating cell temperature as defined in [1]_.
-        PVWatts assumes this value to be 45 C for rack-mounted arrays and
-        49 C for roof mount systems with restricted air flow around the
-        module.  [C]
-
-    module_height : float, default 5.0
-        The height above ground of the center of the module. The PVWatts
-        default is 5.0 [m]
-
-    wind_height : float, default 9.144
-        The height above ground at which ``wind_speed`` is measured. The
-        PVWatts defauls is 9.144 [m]
-
-    emissivity : float, default 0.84
-        The effectiveness of the module at radiating thermal energy. [unitless]
-
-    absorption : float, default 0.83
-        The fraction of incident irradiance that is converted to thermal
-        energy in the module. [unitless]
-
-    surface_tilt : float, default 30
-        Module tilt from horizontal. If not provided, the default value
-        of 30 degrees from [1]_ and [2]_ is used. [degrees]
-
-    module_width : float, default 0.31579
-        Module width. The default value of 0.31579 meters in combination with
-        the default `module_length` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    module_length : float, default 1.2
-        Module length. The default value of 1.2 meters in combination with
-        the default `module_width` gives a hydraulic diameter of 0.5 as
-        assumed in [1]_ and [2]_. [m]
-
-    Returns
-    -------
-    temperature_cell : pandas Series
-        The modeled cell temperature [C]
-
-    Notes
-    -----
-    This function returns slightly different values from PVWatts at night
-    and just after dawn. This is because the SAM SSC assumes that module
-    temperature equals ambient temperature when irradiance is zero so it can
-    skip the heat balance calculation at night.
-
-    References
-    ----------
-    .. [1] Fuentes, M. K., 1987, "A Simplifed Thermal Model for Flat-Plate
-           Photovoltaic Arrays", SAND85-0330, Sandia National Laboratories,
-           Albuquerque NM.
-           http://prod.sandia.gov/techlib/access-control.cgi/1985/850330.pdf
-    .. [2] Dobos, A. P., 2014, "PVWatts Version 5 Manual", NREL/TP-6A20-62641,
-           National Renewable Energy Laboratory, Golden CO.
-           doi:10.2172/1158421.
-    """
-    # ported from the FORTRAN77 code provided in Appendix A of Fuentes 1987;
-    # nearly all variable names are kept the same for ease of comparison.
-
-    boltz = 5.669e-8
-    emiss = emissivity
-    absorp = absorption
-    xlen = _hydraulic_diameter(module_width, module_length)
-    # cap0 has units of [J / (m^2 K)], equal to mass per unit area times
-    # specific heat of the module.
-    cap0 = 11000
-    tinoct = noct_installed + 273.15
-
-    # convective coefficient of top surface of module at NOCT
-    windmod = 1.0
-    tave = (tinoct + 293.15) / 2
-    hconv = _fuentes_hconv(tave, windmod, tinoct, tinoct - 293.15, xlen,
-                           surface_tilt, False)
-
-    # determine the ground temperature ratio and the ratio of the total
-    # convection to the top side convection
-    hground = emiss * boltz * (tinoct**2 + 293.15**2) * (tinoct + 293.15)
-    backrat = (
-        absorp * 800.0
-        - emiss * boltz * (tinoct**4 - 282.21**4)
-        - hconv * (tinoct - 293.15)
-    ) / ((hground + hconv) * (tinoct - 293.15))
-    tground = (tinoct**4 - backrat * (tinoct**4 - 293.15**4))**0.25
-    tground = np.clip(tground, 293.15, tinoct)
-
-    tgrat = (tground - 293.15) / (tinoct - 293.15)
-    convrat = (absorp * 800 - emiss * boltz * (
-        2 * tinoct**4 - 282.21**4 - tground**4)) / (hconv * (tinoct - 293.15))
-
-    # adjust the capacitance (thermal mass) of the module based on the INOCT.
-    # It is a function of INOCT because high INOCT implies thermal coupling
-    # with the racking (e.g. roofmount), so the thermal mass is increased.
-    # `cap` has units J/(m^2 C) -- see Table 3, Equations 26 & 27
-    cap = cap0
-    if tinoct > 321.15:
-        cap = cap * (1 + (tinoct - 321.15) / 12)
-
-    # iterate through timeseries inputs
-    sun0 = 0
-    tmod0 = 293.15
-
-    # n.b. the way Fuentes calculates the first timedelta makes it seem like
-    # the value doesn't matter -- rather than recreate it here, just assume
-    # it's the same as the second timedelta:
-    timedelta_hours = np.diff(poa_global.index).astype(float) / 1e9 / 60 / 60
-    timedelta_hours = np.append([timedelta_hours[0]], timedelta_hours)
-
-    tamb_array = temp_air + 273.15
-    sun_array = poa_global * absorp
-
-    # Two of the calculations are easily vectorized, so precalculate them:
-    # sky temperature -- Equation 24
-    tsky_array = 0.68 * (0.0552 * tamb_array**1.5) + 0.32 * tamb_array
-    # wind speed at module height -- Equation 22
-    # not sure why the 1e-4 factor is included -- maybe the equations don't
-    # behave well if wind == 0?
-    windmod_array = wind_speed * (module_height/wind_height)**0.2 + 1e-4
-
-    tmod0 = 293.15
-    tmod_array = np.zeros_like(poa_global)
-
-    iterator = zip(tamb_array, sun_array, windmod_array, tsky_array,
-                   timedelta_hours)
-    for i, (tamb, sun, windmod, tsky, dtime) in enumerate(iterator):
-        # solve the heat transfer equation, iterating because the heat loss
-        # terms depend on tmod. NB Fuentes doesn't show that 10 iterations is
-        # sufficient for convergence.
-        tmod = tmod0
-        for j in range(10):
-            # overall convective coefficient
-            tave = (tmod + tamb) / 2
-            hconv = convrat * _fuentes_hconv(tave, windmod, tinoct,
-                                             abs(tmod-tamb), xlen,
-                                             surface_tilt, True)
-            # sky radiation coefficient (Equation 3)
-            hsky = emiss * boltz * (tmod**2 + tsky**2) * (tmod + tsky)
-            # ground radiation coeffieicient (Equation 4)
-            tground = tamb + tgrat * (tmod - tamb)
-            hground = emiss * boltz * (tmod**2 + tground**2) * (tmod + tground)
-            # thermal lag -- Equation 8
-            eigen = - (hconv + hsky + hground) / cap * dtime * 3600
-            # not sure why this check is done, maybe as a speed optimization?
-            if eigen > -10:
-                ex = np.exp(eigen)
-            else:
-                ex = 0
-            # Equation 7 -- note that `sun` and `sun0` already account for
-            # absorption (alpha)
-            tmod = tmod0 * ex + (
-                (1 - ex) * (
-                    hconv * tamb
-                    + hsky * tsky
-                    + hground * tground
-                    + sun0
-                    + (sun - sun0) / eigen
-                ) + sun - sun0
-            ) / (hconv + hsky + hground)
-        tmod_array[i] = tmod
-        tmod0 = tmod
-        sun0 = sun
-
-    return pd.Series(tmod_array - 273.15, index=poa_global.index, name='tmod')
+    """
\ No newline at end of file
+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1='(testbed) '
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=4
+++ CONDA_SHLVL=4
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=5
++ CONDA_SHLVL=5
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_4=/opt/miniconda3
++ CONDA_PREFIX_4=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ python -m pip install -e '.[all]'
Obtaining file:///testbed
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: numpy>=1.12.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (2.0.2)
Requirement already satisfied: pandas>=0.22.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (2.2.3)
Requirement already satisfied: pytz in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (2024.1)
Requirement already satisfied: requests in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (2.32.3)
Requirement already satisfied: scipy>=1.2.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (1.13.1)
Requirement already satisfied: cftime>=1.1.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (1.6.4.post1)
Requirement already satisfied: cython in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (3.0.12)
Requirement already satisfied: docutils==0.15.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (0.15.2)
Requirement already satisfied: ephem in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (4.2)
Requirement already satisfied: ipython in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (8.18.1)
Requirement already satisfied: matplotlib in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (3.9.4)
Requirement already satisfied: netcdf4 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (1.7.2)
Requirement already satisfied: nose in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (1.3.7)
Requirement already satisfied: nrel-pysam in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pvlib==0.8.0+3.gdc81df7.dirty) (7.0.0)
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Installing collected packages: pvlib
  Attempting uninstall: pvlib
    Found existing installation: pvlib 0.8.0+2.g04a523f
    Uninstalling pvlib-0.8.0+2.g04a523f:
      Successfully uninstalled pvlib-0.8.0+2.g04a523f
  DEPRECATION: Legacy editable install of pvlib[all]==0.8.0+3.gdc81df7.dirty from file:///testbed (setup.py develop) is deprecated. pip 25.3 will enforce this behaviour change. A possible replacement is to add a pyproject.toml or enable --use-pep517, and use setuptools >= 64. If the resulting installation is not behaving as expected, try using --config-settings editable_mode=compat. Please consult the setuptools documentation for more information. Discussion can be found at https://github.com/pypa/pip/issues/11457
  Running setup.py develop for pvlib
Successfully installed pvlib
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
+ git checkout 04a523fafbd61bc2e49420963b84ed8e2bd1b3cf pvlib/tests/test_temperature.py
Updated 0 paths from 6b8d479
+ git apply -v -
Checking patch pvlib/tests/test_temperature.py...
Applied patch pvlib/tests/test_temperature.py cleanly.
+ : '>>>>> Start Test Output'
+ pytest -rA pvlib/tests/test_temperature.py
ImportError while loading conftest '/testbed/pvlib/tests/conftest.py'.
pvlib/tests/conftest.py:10: in <module>
    import pvlib
pvlib/__init__.py:10: in <module>
    from pvlib import ivtools  # noqa: F401
pvlib/ivtools/__init__.py:7: in <module>
    from pvlib.ivtools import sde, sdm, utils  # noqa: F401
pvlib/ivtools/sdm.py:15: in <module>
    from pvlib.pvsystem import singlediode, v_from_i
pvlib/pvsystem.py:16: in <module>
    from pvlib import (atmosphere, iam, inverter, irradiance,
pvlib/singlediode.py:59: in <module>
    NsVbi=np.Inf, breakdown_factor=0., breakdown_voltage=-5.5,
/opt/miniconda3/envs/testbed/lib/python3.9/site-packages/numpy/__init__.py:397: in __getattr__
    raise AttributeError(
E   AttributeError: `np.Inf` was removed in the NumPy 2.0 release. Use `np.inf` instead.
+ : '>>>>> End Test Output'
+ git checkout 04a523fafbd61bc2e49420963b84ed8e2bd1b3cf pvlib/tests/test_temperature.py
Updated 1 path from 6b8d479

Reference output

diff --git a/pvlib/temperature.py b/pvlib/temperature.py
--- a/pvlib/temperature.py
+++ b/pvlib/temperature.py
@@ -599,8 +599,9 @@ def fuentes(poa_global, temp_air, wind_speed, noct_installed, module_height=5,
     # n.b. the way Fuentes calculates the first timedelta makes it seem like
     # the value doesn't matter -- rather than recreate it here, just assume
     # it's the same as the second timedelta:
-    timedelta_hours = np.diff(poa_global.index).astype(float) / 1e9 / 60 / 60
-    timedelta_hours = np.append([timedelta_hours[0]], timedelta_hours)
+    timedelta_seconds = poa_global.index.to_series().diff().dt.total_seconds()
+    timedelta_hours = timedelta_seconds / 3600
+    timedelta_hours.iloc[0] = timedelta_hours.iloc[1]
 
     tamb_array = temp_air + 273.15
     sun_array = poa_global * absorp

Task input

3.0: DateTime fields cannot be used as inner field for List or Tuple fields
Between releases 3.0.0rc8 and 3.0.0rc9, `DateTime` fields have started throwing an error when being instantiated as inner fields of container fields like `List` or `Tuple`. The snippet below works in <=3.0.0rc8 and throws the error below in >=3.0.0rc9 (and, worryingly, 3.0.0):

```python
from marshmallow import fields, Schema

class MySchema(Schema):
    times = fields.List(fields.DateTime())

s = MySchema()
```

Traceback:
```
Traceback (most recent call last):
  File "test-mm.py", line 8, in <module>
    s = MySchema()
  File "/Users/victor/.pyenv/versions/marshmallow/lib/python3.6/site-packages/marshmallow/schema.py", line 383, in __init__
    self.fields = self._init_fields()
  File "/Users/victor/.pyenv/versions/marshmallow/lib/python3.6/site-packages/marshmallow/schema.py", line 913, in _init_fields
    self._bind_field(field_name, field_obj)
  File "/Users/victor/.pyenv/versions/marshmallow/lib/python3.6/site-packages/marshmallow/schema.py", line 969, in _bind_field
    field_obj._bind_to_schema(field_name, self)
  File "/Users/victor/.pyenv/versions/marshmallow/lib/python3.6/site-packages/marshmallow/fields.py", line 636, in _bind_to_schema
    self.inner._bind_to_schema(field_name, self)
  File "/Users/victor/.pyenv/versions/marshmallow/lib/python3.6/site-packages/marshmallow/fields.py", line 1117, in _bind_to_schema
    or getattr(schema.opts, self.SCHEMA_OPTS_VAR_NAME)
AttributeError: 'List' object has no attribute 'opts'
```

It seems like it's treating the parent field as a Schema without checking that it is indeed a schema, so the `schema.opts` statement fails as fields don't have an `opts` attribute.

Fix tests

tests/test_fields.py::TestParentAndName::test_datetime_list_inner_format

Regression tests

tests/test_fields.py::test_field_aliases[Integer-Integer]
tests/test_fields.py::test_field_aliases[String-String]
tests/test_fields.py::test_field_aliases[Boolean-Boolean]
tests/test_fields.py::test_field_aliases[Url-Url]
tests/test_fields.py::TestField::test_repr
tests/test_fields.py::TestField::test_error_raised_if_uncallable_validator_passed
tests/test_fields.py::TestField::test_error_raised_if_missing_is_set_on_required_field
tests/test_fields.py::TestField::test_custom_field_receives_attr_and_obj
tests/test_fields.py::TestField::test_custom_field_receives_data_key_if_set
tests/test_fields.py::TestField::test_custom_field_follows_data_key_if_set
tests/test_fields.py::TestParentAndName::test_simple_field_parent_and_name
tests/test_fields.py::TestParentAndName::test_unbound_field_root_returns_none
tests/test_fields.py::TestParentAndName::test_list_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_tuple_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_mapping_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_simple_field_root
tests/test_fields.py::TestParentAndName::test_list_field_inner_root
tests/test_fields.py::TestParentAndName::test_tuple_field_inner_root
tests/test_fields.py::TestParentAndName::test_list_root_inheritance
tests/test_fields.py::TestParentAndName::test_dict_root_inheritance
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[String]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Integer]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Boolean]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Float]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Number]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[DateTime]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Time]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Date]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[TimeDelta]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Dict]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Url]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Email]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[UUID]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Decimal]
tests/test_fields.py::TestErrorMessages::test_default_error_messages_get_merged_with_parent_error_messages_cstm_msg
tests/test_fields.py::TestErrorMessages::test_default_error_messages_get_merged_with_parent_error_messages
tests/test_fields.py::TestErrorMessages::test_make_error[required-Missing
tests/test_fields.py::TestErrorMessages::test_make_error[null-Field
tests/test_fields.py::TestErrorMessages::test_make_error[custom-Custom
tests/test_fields.py::TestErrorMessages::test_make_error[validator_failed-Invalid
tests/test_fields.py::TestErrorMessages::test_fail[required-Missing
tests/test_fields.py::TestErrorMessages::test_fail[null-Field
tests/test_fields.py::TestErrorMessages::test_fail[custom-Custom
tests/test_fields.py::TestErrorMessages::test_fail[validator_failed-Invalid
tests/test_fields.py::TestErrorMessages::test_make_error_key_doesnt_exist
tests/test_fields.py::TestNestedField::test_nested_only_and_exclude_as_string[only]
tests/test_fields.py::TestNestedField::test_nested_only_and_exclude_as_string[exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-raise]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[only]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[exclude]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestListNested::test_list_nested_only_and_exclude_merged_with_nested[only-expected0]
tests/test_fields.py::TestListNested::test_list_nested_only_and_exclude_merged_with_nested[exclude-expected1]
tests/test_fields.py::TestListNested::test_list_nested_partial_propagated_to_nested
tests/test_fields.py::TestTupleNested::test_tuple_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestTupleNested::test_tuple_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestTupleNested::test_tuple_nested_partial_propagated_to_nested
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[exclude]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_and_exclude_merged_with_nested[only-expected0]
tests/test_fields.py::TestDictNested::test_dict_nested_only_and_exclude_merged_with_nested[exclude-expected1]
tests/test_fields.py::TestDictNested::test_dict_nested_partial_propagated_to_nested

Scorer detail

Not resolved by official SWE-bench grading. Fail-to-pass: 0%. Pass-to-pass: 0%.

Patch text

diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 520ffb44..7c428285 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -385,756 +385,4 @@ class BaseSchema(base.SchemaABC):
         for field_name, field_obj in self.fields.items():
             if field_obj.load_only:
                 self.load_fields[field_name] = field_obj
-            elif field_obj.dump_only:
-                self.dump_fields[field_name] = field_obj
-            else:
-                self.load_fields[field_name] = field_obj
-                self.dump_fields[field_name] = field_obj
-        messages = {}
-        messages.update(self._default_error_messages)
-        for cls in reversed(self.__class__.__mro__):
-            messages.update(getattr(cls, "error_messages", {}))
-        messages.update(self.error_messages or {})
-        self.error_messages = messages
-
-    def __repr__(self):
-        return "<{ClassName}(many={self.many})>".format(
-            ClassName=self.__class__.__name__, self=self
-        )
-
-    @property
-    def dict_class(self):
-        return OrderedDict if self.ordered else dict
-
-    @property
-    def set_class(self):
-        return OrderedSet if self.ordered else set
-
-    @classmethod
-    def from_dict(
-        cls, fields: typing.Dict[str, ma_fields.Field], *, name: str = "GeneratedSchema"
-    ) -> typing.Type["Schema"]:
-        """Generate a `Schema` class given a dictionary of fields.
-
-        .. code-block:: python
-
-            from marshmallow import Schema, fields
-
-            PersonSchema = Schema.from_dict({"name": fields.Str()})
-            print(PersonSchema().load({"name": "David"}))  # => {'name': 'David'}
-
-        Generated schemas are not added to the class registry and therefore cannot
-        be referred to by name in `Nested` fields.
-
-        :param dict fields: Dictionary mapping field names to field instances.
-        :param str name: Optional name for the class, which will appear in
-            the ``repr`` for the class.
-
-        .. versionadded:: 3.0.0
-        """
-        attrs = fields.copy()
-        attrs["Meta"] = type(
-            "GeneratedMeta", (getattr(cls, "Meta", object),), {"register": False}
-        )
-        schema_cls = type(name, (cls,), attrs)
-        return schema_cls
-
-    ##### Override-able methods #####
-
-    def handle_error(self, error, data, *, many, **kwargs):
-        """Custom error handler function for the schema.
-
-        :param ValidationError error: The `ValidationError` raised during (de)serialization.
-        :param data: The original input data.
-        :param bool many: Value of ``many`` on dump or load.
-        :param bool partial: Value of ``partial`` on load.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0rc9
-            Receives `many` and `partial` (on deserialization) as keyword arguments.
-        """
-        pass
-
-    def get_attribute(self, obj, attr, default):
-        """Defines how to pull values from an object to serialize.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0a1
-            Changed position of ``obj`` and ``attr``.
-        """
-        return get_value(obj, attr, default)
-
-    ##### Serialization/Deserialization API #####
-
-    @staticmethod
-    def _call_and_store(getter_func, data, *, field_name, error_store, index=None):
-        """Call ``getter_func`` with ``data`` as its argument, and store any `ValidationErrors`.
-
-        :param callable getter_func: Function for getting the serialized/deserialized
-            value from ``data``.
-        :param data: The data passed to ``getter_func``.
-        :param str field_name: Field name.
-        :param int index: Index of the item being validated, if validating a collection,
-            otherwise `None`.
-        """
-        try:
-            value = getter_func(data)
-        except ValidationError as error:
-            error_store.store_error(error.messages, field_name, index=index)
-            # When a Nested field fails validation, the marshalled data is stored
-            # on the ValidationError's valid_data attribute
-            return error.valid_data or missing
-        return value
-
-    def _serialize(self, obj, *, many=False):
-        """Serialize ``obj``.
-
-        :param obj: The object(s) to serialize.
-        :param bool many: `True` if ``data`` should be serialized as a collection.
-        :return: A dictionary of the serialized data
-
-        .. versionchanged:: 1.0.0
-            Renamed from ``marshal``.
-        """
-        if many and obj is not None:
-            return [self._serialize(d, many=False) for d in obj]
-        ret = self.dict_class()
-        for attr_name, field_obj in self.dump_fields.items():
-            value = field_obj.serialize(attr_name, obj, accessor=self.get_attribute)
-            if value is missing:
-                continue
-            key = field_obj.data_key or attr_name
-            ret[key] = value
-        return ret
-
-    def dump(self, obj, *, many=None):
-        """Serialize an object to native Python data types according to this
-        Schema's fields.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A dict of serialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        .. versionchanged:: 3.0.0rc9
-            Validation no longer occurs upon serialization.
-        """
-        many = self.many if many is None else bool(many)
-        if many and is_iterable_but_not_string(obj):
-            obj = list(obj)
-
-        if self._has_processors(PRE_DUMP):
-            processed_obj = self._invoke_dump_processors(
-                PRE_DUMP, obj, many=many, original_data=obj
-            )
-        else:
-            processed_obj = obj
-
-        result = self._serialize(processed_obj, many=many)
-
-        if self._has_processors(POST_DUMP):
-            result = self._invoke_dump_processors(
-                POST_DUMP, result, many=many, original_data=obj
-            )
-
-        return result
-
-    def dumps(self, obj, *args, many=None, **kwargs):
-        """Same as :meth:`dump`, except return a JSON-encoded string.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A ``json`` string
-        :rtype: str
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        """
-        serialized = self.dump(obj, many=many)
-        return self.opts.render_module.dumps(serialized, *args, **kwargs)
-
-    def _deserialize(
-        self, data, *, error_store, many=False, partial=False, unknown=RAISE, index=None
-    ):
-        """Deserialize ``data``.
-
-        :param dict data: The data to deserialize.
-        :param ErrorStore error_store: Structure to store errors.
-        :param bool many: `True` if ``data`` should be deserialized as a collection.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-        :param int index: Index of the item being serialized (for storing errors) if
-            serializing a collection, otherwise `None`.
-        :return: A dictionary of the deserialized data.
-        """
-        index_errors = self.opts.index_errors
-        index = index if index_errors else None
-        if many:
-            if not is_collection(data):
-                error_store.store_error([self.error_messages["type"]], index=index)
-                ret = []
-            else:
-                ret = [
-                    self._deserialize(
-                        d,
-                        error_store=error_store,
-                        many=False,
-                        partial=partial,
-                        unknown=unknown,
-                        index=idx,
-                    )
-                    for idx, d in enumerate(data)
-                ]
-            return ret
-        ret = self.dict_class()
-        # Check data is a dict
-        if not isinstance(data, Mapping):
-            error_store.store_error([self.error_messages["type"]], index=index)
-        else:
-            partial_is_collection = is_collection(partial)
-            for attr_name, field_obj in self.load_fields.items():
-                field_name = field_obj.data_key or attr_name
-                raw_value = data.get(field_name, missing)
-                if raw_value is missing:
-                    # Ignore missing field if we're allowed to.
-                    if partial is True or (
-                        partial_is_collection and attr_name in partial
-                    ):
-                        continue
-                d_kwargs = {}
-                # Allow partial loading of nested schemas.
-                if partial_is_collection:
-                    prefix = field_name + "."
-                    len_prefix = len(prefix)
-                    sub_partial = [
-                        f[len_prefix:] for f in partial if f.startswith(prefix)
-                    ]
-                    d_kwargs["partial"] = sub_partial
-                else:
-                    d_kwargs["partial"] = partial
-                getter = lambda val: field_obj.deserialize(
-                    val, field_name, data, **d_kwargs
-                )
-                value = self._call_and_store(
-                    getter_func=getter,
-                    data=raw_value,
-                    field_name=field_name,
-                    error_store=error_store,
-                    index=index,
-                )
-                if value is not missing:
-                    key = field_obj.attribute or attr_name
-                    set_value(ret, key, value)
-            if unknown != EXCLUDE:
-                fields = {
-                    field_obj.data_key or field_name
-                    for field_name, field_obj in self.load_fields.items()
-                }
-                for key in set(data) - fields:
-                    value = data[key]
-                    if unknown == INCLUDE:
-                        set_value(ret, key, value)
-                    elif unknown == RAISE:
-                        error_store.store_error(
-                            [self.error_messages["unknown"]],
-                            key,
-                            (index if index_errors else None),
-                        )
-        return ret
-
-    def load(self, data, *, many=None, partial=None, unknown=None):
-        """Deserialize a data structure to an object defined by this Schema's fields.
-
-        :param dict data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        return self._do_load(
-            data, many=many, partial=partial, unknown=unknown, postprocess=True
-        )
-
-    def loads(self, json_data, *, many=None, partial=None, unknown=None, **kwargs):
-        """Same as :meth:`load`, except it takes a JSON string as input.
-
-        :param str json_data: A JSON string of the data to deserialize.
-        :param bool many: Whether to deserialize `obj` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        data = self.opts.render_module.loads(json_data, **kwargs)
-        return self.load(data, many=many, partial=partial, unknown=unknown)
-
-    def _run_validator(
-        self,
-        validator_func,
-        output,
-        *,
-        original_data,
-        error_store,
-        many,
-        partial,
-        pass_original,
-        index=None
-    ):
-        try:
-            if pass_original:  # Pass original, raw data (before unmarshalling)
-                validator_func(output, original_data, partial=partial, many=many)
-            else:
-                validator_func(output, partial=partial, many=many)
-        except ValidationError as err:
-            error_store.store_error(err.messages, err.field_name, index=index)
-
-    def validate(self, data, *, many=None, partial=None):
-        """Validate `data` against the schema, returning a dictionary of
-        validation errors.
-
-        :param dict data: The data to validate.
-        :param bool many: Whether to validate `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :return: A dictionary of validation errors.
-        :rtype: dict
-
-        .. versionadded:: 1.1.0
-        """
-        try:
-            self._do_load(data, many=many, partial=partial, postprocess=False)
-        except ValidationError as exc:
-            return exc.messages
-        return {}
-
-    ##### Private Helpers #####
-
-    def _do_load(
-        self, data, *, many=None, partial=None, unknown=None, postprocess=True
-    ):
-        """Deserialize `data`, returning the deserialized result.
-
-        :param data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to validate required fields. If its
-            value is an iterable, only fields listed in that iterable will be
-            ignored will be allowed missing. If `True`, all fields will be allowed missing.
-            If `None`, the value for `self.partial` is used.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :param bool postprocess: Whether to run post_load methods..
-        :return: A dict of deserialized data
-        :rtype: dict
-        """
-        error_store = ErrorStore()
-        errors = {}
-        many = self.many if many is None else bool(many)
-        unknown = unknown or self.unknown
-        if partial is None:
-            partial = self.partial
-        # Run preprocessors
-        if self._has_processors(PRE_LOAD):
-            try:
-                processed_data = self._invoke_load_processors(
-                    PRE_LOAD, data, many=many, original_data=data, partial=partial
-                )
-            except ValidationError as err:
-                errors = err.normalized_messages()
-                result = None
-        else:
-            processed_data = data
-        if not errors:
-            # Deserialize data
-            result = self._deserialize(
-                processed_data,
-                error_store=error_store,
-                many=many,
-                partial=partial,
-                unknown=unknown,
-            )
-            # Run field-level validation
-            self._invoke_field_validators(
-                error_store=error_store, data=result, many=many
-            )
-            # Run schema-level validation
-            if self._has_processors(VALIDATES_SCHEMA):
-                field_errors = bool(error_store.errors)
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=True,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=False,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-            errors = error_store.errors
-            # Run post processors
-            if not errors and postprocess and self._has_processors(POST_LOAD):
-                try:
-                    result = self._invoke_load_processors(
-                        POST_LOAD,
-                        result,
-                        many=many,
-                        original_data=data,
-                        partial=partial,
-                    )
-                except ValidationError as err:
-                    errors = err.normalized_messages()
-        if errors:
-            exc = ValidationError(errors, data=data, valid_data=result)
-            self.handle_error(exc, data, many=many, partial=partial)
-            raise exc
-
-        return result
-
-    def _normalize_nested_options(self):
-        """Apply then flatten nested schema options"""
-        if self.only is not None:
-            # Apply the only option to nested fields.
-            self.__apply_nested_option("only", self.only, "intersection")
-            # Remove the child field names from the only option.
-            self.only = self.set_class([field.split(".", 1)[0] for field in self.only])
-        if self.exclude:
-            # Apply the exclude option to nested fields.
-            self.__apply_nested_option("exclude", self.exclude, "union")
-            # Remove the parent field names from the exclude option.
-            self.exclude = self.set_class(
-                [field for field in self.exclude if "." not in field]
-            )
-
-    def __apply_nested_option(self, option_name, field_names, set_operation):
-        """Apply nested options to nested fields"""
-        # Split nested field names on the first dot.
-        nested_fields = [name.split(".", 1) for name in field_names if "." in name]
-        # Partition the nested field names by parent field.
-        nested_options = defaultdict(list)
-        for parent, nested_names in nested_fields:
-            nested_options[parent].append(nested_names)
-        # Apply the nested field options.
-        for key, options in iter(nested_options.items()):
-            new_options = self.set_class(options)
-            original_options = getattr(self.declared_fields[key], option_name, ())
-            if original_options:
-                if set_operation == "union":
-                    new_options |= self.set_class(original_options)
-                if set_operation == "intersection":
-                    new_options &= self.set_class(original_options)
-            setattr(self.declared_fields[key], option_name, new_options)
-
-    def _init_fields(self):
-        """Update fields based on schema options."""
-        if self.opts.fields:
-            available_field_names = self.set_class(self.opts.fields)
-        else:
-            available_field_names = self.set_class(self.declared_fields.keys())
-            if self.opts.additional:
-                available_field_names |= self.set_class(self.opts.additional)
-
-        invalid_fields = self.set_class()
-
-        if self.only is not None:
-            # Return only fields specified in only option
-            field_names = self.set_class(self.only)
-
-            invalid_fields |= field_names - available_field_names
-        else:
-            field_names = available_field_names
-
-        # If "exclude" option or param is specified, remove those fields.
-        if self.exclude:
-            # Note that this isn't available_field_names, since we want to
-            # apply "only" for the actual calculation.
-            field_names = field_names - self.exclude
-            invalid_fields |= self.exclude - available_field_names
-
-        if invalid_fields:
-            message = "Invalid fields for {}: {}.".format(self, invalid_fields)
-            raise ValueError(message)
-
-        fields_dict = self.dict_class()
-        for field_name in field_names:
-            field_obj = self.declared_fields.get(field_name, ma_fields.Inferred())
-            self._bind_field(field_name, field_obj)
-            fields_dict[field_name] = field_obj
-
-        dump_data_keys = [
-            obj.data_key or name
-            for name, obj in fields_dict.items()
-            if not obj.load_only
-        ]
-        if len(dump_data_keys) != len(set(dump_data_keys)):
-            data_keys_duplicates = {
-                x for x in dump_data_keys if dump_data_keys.count(x) > 1
-            }
-            raise ValueError(
-                "The data_key argument for one or more fields collides "
-                "with another field's name or data_key argument. "
-                "Check the following field names and "
-                "data_key arguments: {}".format(list(data_keys_duplicates))
-            )
-
-        load_attributes = [
-            obj.attribute or name
-            for name, obj in fields_dict.items()
-            if not obj.dump_only
-        ]
-        if len(load_attributes) != len(set(load_attributes)):
-            attributes_duplicates = {
-                x for x in load_attributes if load_attributes.count(x) > 1
-            }
-            raise ValueError(
-                "The attribute argument for one or more fields collides "
-                "with another field's name or attribute argument. "
-                "Check the following field names and "
-                "attribute arguments: {}".format(list(attributes_duplicates))
-            )
-
-        return fields_dict
-
-    def on_bind_field(self, field_name, field_obj):
-        """Hook to modify a field when it is bound to the `Schema`.
-
-        No-op by default.
-        """
-        return None
-
-    def _bind_field(self, field_name, field_obj):
-        """Bind field to the schema, setting any necessary attributes on the
-        field (e.g. parent and name).
-
-        Also set field load_only and dump_only values if field_name was
-        specified in ``class Meta``.
-        """
-        try:
-            if field_name in self.load_only:
-                field_obj.load_only = True
-            if field_name in self.dump_only:
-                field_obj.dump_only = True
-            field_obj._bind_to_schema(field_name, self)
-            self.on_bind_field(field_name, field_obj)
-        except TypeError as error:
-            # field declared as a class, not an instance
-            if isinstance(field_obj, type) and issubclass(field_obj, base.FieldABC):
-                msg = (
-                    'Field for "{}" must be declared as a '
-                    "Field instance, not a class. "
-                    'Did you mean "fields.{}()"?'.format(field_name, field_obj.__name__)
-                )
-                raise TypeError(msg) from error
-
-    @lru_cache(maxsize=8)
-    def _has_processors(self, tag):
-        return self._hooks[(tag, True)] or self._hooks[(tag, False)]
-
-    def _invoke_dump_processors(self, tag, data, *, many, original_data=None):
-        # The pass_many post-dump processors may do things like add an envelope, so
-        # invoke those after invoking the non-pass_many processors which will expect
-        # to get a list of items.
-        data = self._invoke_processors(
-            tag, pass_many=False, data=data, many=many, original_data=original_data
-        )
-        data = self._invoke_processors(
-            tag, pass_many=True, data=data, many=many, original_data=original_data
-        )
-        return data
-
-    def _invoke_load_processors(self, tag, data, *, many, original_data, partial):
-        # This has to invert the order of the dump processors, so run the pass_many
-        # processors first.
-        data = self._invoke_processors(
-            tag,
-            pass_many=True,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        data = self._invoke_processors(
-            tag,
-            pass_many=False,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        return data
-
-    def _invoke_field_validators(self, *, error_store, data, many):
-        for attr_name in self._hooks[VALIDATES]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[VALIDATES]
-            field_name = validator_kwargs["field_name"]
-
-            try:
-                field_obj = self.fields[field_name]
-            except KeyError as error:
-                if field_name in self.declared_fields:
-                    continue
-                raise ValueError(
-                    '"{}" field does not exist.'.format(field_name)
-                ) from error
-
-            if many:
-                for idx, item in enumerate(data):
-                    try:
-                        value = item[field_obj.attribute or field_name]
-                    except KeyError:
-                        pass
-                    else:
-                        validated_value = self._call_and_store(
-                            getter_func=validator,
-                            data=value,
-                            field_name=field_obj.data_key or field_name,
-                            error_store=error_store,
-                            index=(idx if self.opts.index_errors else None),
-                        )
-                        if validated_value is missing:
-                            data[idx].pop(field_name, None)
-            else:
-                try:
-                    value = data[field_obj.attribute or field_name]
-                except KeyError:
-                    pass
-                else:
-                    validated_value = self._call_and_store(
-                        getter_func=validator,
-                        data=value,
-                        field_name=field_obj.data_key or field_name,
-                        error_store=error_store,
-                    )
-                    if validated_value is missing:
-                        data.pop(field_name, None)
-
-    def _invoke_schema_validators(
-        self,
-        *,
-        error_store,
-        pass_many,
-        data,
-        original_data,
-        many,
-        partial,
-        field_errors=False
-    ):
-        for attr_name in self._hooks[(VALIDATES_SCHEMA, pass_many)]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[
-                (VALIDATES_SCHEMA, pass_many)
-            ]
-            if field_errors and validator_kwargs["skip_on_field_errors"]:
-                continue
-            pass_original = validator_kwargs.get("pass_original", False)
-
-            if many and not pass_many:
-                for idx, (item, orig) in enumerate(zip(data, original_data)):
-                    self._run_validator(
-                        validator,
-                        item,
-                        original_data=orig,
-                        error_store=error_store,
-                        many=many,
-                        partial=partial,
-                        index=idx,
-                        pass_original=pass_original,
-                    )
-            else:
-                self._run_validator(
-                    validator,
-                    data,
-                    original_data=original_data,
-                    error_store=error_store,
-                    many=many,
-                    pass_original=pass_original,
-                    partial=partial,
-                )
-
-    def _invoke_processors(
-        self, tag, *, pass_many, data, many, original_data=None, **kwargs
-    ):
-        key = (tag, pass_many)
-        for attr_name in self._hooks[key]:
-            # This will be a bound method.
-            processor = getattr(self, attr_name)
-
-            processor_kwargs = processor.__marshmallow_hook__[key]
-            pass_original = processor_kwargs.get("pass_original", False)
-
-            if pass_many:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-            elif many:
-                if pass_original:
-                    data = [
-                        processor(item, original, many=many, **kwargs)
-                        for item, original in zip(data, original_data)
-                    ]
-                else:
-                    data = [processor(item, many=many, **kwargs) for item in data]
-            else:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-        return data
-
-
-class Schema(BaseSchema, metaclass=SchemaMeta):
-    __doc__ = BaseSchema.__doc__
+            elif field_obj
\ No newline at end of file

Stdout

[anthropic-agent] instance=marshmallow-code__marshmallow-1359
[anthropic-agent] repo=marshmallow-code/marshmallow
[anthropic-agent] sandbox=5834ecbb-75b1-466d-9322-68bc15d3ba2e
[anthropic-agent] model=claude-sonnet-4-5-20250929
[anthropic-agent] context_files=6
[anthropic-agent] full_file_context=yes
[anthropic-agent] edit_attempts=2

Stderr

[anthropic-agent] Attempt 1: File-rewrite plan contained no files.

Agent output

diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 520ffb44..7c428285 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -385,756 +385,4 @@ class BaseSchema(base.SchemaABC):
         for field_name, field_obj in self.fields.items():
             if field_obj.load_only:
                 self.load_fields[field_name] = field_obj
-            elif field_obj.dump_only:
-                self.dump_fields[field_name] = field_obj
-            else:
-                self.load_fields[field_name] = field_obj
-                self.dump_fields[field_name] = field_obj
-        messages = {}
-        messages.update(self._default_error_messages)
-        for cls in reversed(self.__class__.__mro__):
-            messages.update(getattr(cls, "error_messages", {}))
-        messages.update(self.error_messages or {})
-        self.error_messages = messages
-
-    def __repr__(self):
-        return "<{ClassName}(many={self.many})>".format(
-            ClassName=self.__class__.__name__, self=self
-        )
-
-    @property
-    def dict_class(self):
-        return OrderedDict if self.ordered else dict
-
-    @property
-    def set_class(self):
-        return OrderedSet if self.ordered else set
-
-    @classmethod
-    def from_dict(
-        cls, fields: typing.Dict[str, ma_fields.Field], *, name: str = "GeneratedSchema"
-    ) -> typing.Type["Schema"]:
-        """Generate a `Schema` class given a dictionary of fields.
-
-        .. code-block:: python
-
-            from marshmallow import Schema, fields
-
-            PersonSchema = Schema.from_dict({"name": fields.Str()})
-            print(PersonSchema().load({"name": "David"}))  # => {'name': 'David'}
-
-        Generated schemas are not added to the class registry and therefore cannot
-        be referred to by name in `Nested` fields.
-
-        :param dict fields: Dictionary mapping field names to field instances.
-        :param str name: Optional name for the class, which will appear in
-            the ``repr`` for the class.
-
-        .. versionadded:: 3.0.0
-        """
-        attrs = fields.copy()
-        attrs["Meta"] = type(
-            "GeneratedMeta", (getattr(cls, "Meta", object),), {"register": False}
-        )
-        schema_cls = type(name, (cls,), attrs)
-        return schema_cls
-
-    ##### Override-able methods #####
-
-    def handle_error(self, error, data, *, many, **kwargs):
-        """Custom error handler function for the schema.
-
-        :param ValidationError error: The `ValidationError` raised during (de)serialization.
-        :param data: The original input data.
-        :param bool many: Value of ``many`` on dump or load.
-        :param bool partial: Value of ``partial`` on load.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0rc9
-            Receives `many` and `partial` (on deserialization) as keyword arguments.
-        """
-        pass
-
-    def get_attribute(self, obj, attr, default):
-        """Defines how to pull values from an object to serialize.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0a1
-            Changed position of ``obj`` and ``attr``.
-        """
-        return get_value(obj, attr, default)
-
-    ##### Serialization/Deserialization API #####
-
-    @staticmethod
-    def _call_and_store(getter_func, data, *, field_name, error_store, index=None):
-        """Call ``getter_func`` with ``data`` as its argument, and store any `ValidationErrors`.
-
-        :param callable getter_func: Function for getting the serialized/deserialized
-            value from ``data``.
-        :param data: The data passed to ``getter_func``.
-        :param str field_name: Field name.
-        :param int index: Index of the item being validated, if validating a collection,
-            otherwise `None`.
-        """
-        try:
-            value = getter_func(data)
-        except ValidationError as error:
-            error_store.store_error(error.messages, field_name, index=index)
-            # When a Nested field fails validation, the marshalled data is stored
-            # on the ValidationError's valid_data attribute
-            return error.valid_data or missing
-        return value
-
-    def _serialize(self, obj, *, many=False):
-        """Serialize ``obj``.
-
-        :param obj: The object(s) to serialize.
-        :param bool many: `True` if ``data`` should be serialized as a collection.
-        :return: A dictionary of the serialized data
-
-        .. versionchanged:: 1.0.0
-            Renamed from ``marshal``.
-        """
-        if many and obj is not None:
-            return [self._serialize(d, many=False) for d in obj]
-        ret = self.dict_class()
-        for attr_name, field_obj in self.dump_fields.items():
-            value = field_obj.serialize(attr_name, obj, accessor=self.get_attribute)
-            if value is missing:
-                continue
-            key = field_obj.data_key or attr_name
-            ret[key] = value
-        return ret
-
-    def dump(self, obj, *, many=None):
-        """Serialize an object to native Python data types according to this
-        Schema's fields.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A dict of serialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        .. versionchanged:: 3.0.0rc9
-            Validation no longer occurs upon serialization.
-        """
-        many = self.many if many is None else bool(many)
-        if many and is_iterable_but_not_string(obj):
-            obj = list(obj)
-
-        if self._has_processors(PRE_DUMP):
-            processed_obj = self._invoke_dump_processors(
-                PRE_DUMP, obj, many=many, original_data=obj
-            )
-        else:
-            processed_obj = obj
-
-        result = self._serialize(processed_obj, many=many)
-
-        if self._has_processors(POST_DUMP):
-            result = self._invoke_dump_processors(
-                POST_DUMP, result, many=many, original_data=obj
-            )
-
-        return result
-
-    def dumps(self, obj, *args, many=None, **kwargs):
-        """Same as :meth:`dump`, except return a JSON-encoded string.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A ``json`` string
-        :rtype: str
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        """
-        serialized = self.dump(obj, many=many)
-        return self.opts.render_module.dumps(serialized, *args, **kwargs)
-
-    def _deserialize(
-        self, data, *, error_store, many=False, partial=False, unknown=RAISE, index=None
-    ):
-        """Deserialize ``data``.
-
-        :param dict data: The data to deserialize.
-        :param ErrorStore error_store: Structure to store errors.
-        :param bool many: `True` if ``data`` should be deserialized as a collection.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-        :param int index: Index of the item being serialized (for storing errors) if
-            serializing a collection, otherwise `None`.
-        :return: A dictionary of the deserialized data.
-        """
-        index_errors = self.opts.index_errors
-        index = index if index_errors else None
-        if many:
-            if not is_collection(data):
-                error_store.store_error([self.error_messages["type"]], index=index)
-                ret = []
-            else:
-                ret = [
-                    self._deserialize(
-                        d,
-                        error_store=error_store,
-                        many=False,
-                        partial=partial,
-                        unknown=unknown,
-                        index=idx,
-                    )
-                    for idx, d in enumerate(data)
-                ]
-            return ret
-        ret = self.dict_class()
-        # Check data is a dict
-        if not isinstance(data, Mapping):
-            error_store.store_error([self.error_messages["type"]], index=index)
-        else:
-            partial_is_collection = is_collection(partial)
-            for attr_name, field_obj in self.load_fields.items():
-                field_name = field_obj.data_key or attr_name
-                raw_value = data.get(field_name, missing)
-                if raw_value is missing:
-                    # Ignore missing field if we're allowed to.
-                    if partial is True or (
-                        partial_is_collection and attr_name in partial
-                    ):
-                        continue
-                d_kwargs = {}
-                # Allow partial loading of nested schemas.
-                if partial_is_collection:
-                    prefix = field_name + "."
-                    len_prefix = len(prefix)
-                    sub_partial = [
-                        f[len_prefix:] for f in partial if f.startswith(prefix)
-                    ]
-                    d_kwargs["partial"] = sub_partial
-                else:
-                    d_kwargs["partial"] = partial
-                getter = lambda val: field_obj.deserialize(
-                    val, field_name, data, **d_kwargs
-                )
-                value = self._call_and_store(
-                    getter_func=getter,
-                    data=raw_value,
-                    field_name=field_name,
-                    error_store=error_store,
-                    index=index,
-                )
-                if value is not missing:
-                    key = field_obj.attribute or attr_name
-                    set_value(ret, key, value)
-            if unknown != EXCLUDE:
-                fields = {
-                    field_obj.data_key or field_name
-                    for field_name, field_obj in self.load_fields.items()
-                }
-                for key in set(data) - fields:
-                    value = data[key]
-                    if unknown == INCLUDE:
-                        set_value(ret, key, value)
-                    elif unknown == RAISE:
-                        error_store.store_error(
-                            [self.error_messages["unknown"]],
-                            key,
-                            (index if index_errors else None),
-                        )
-        return ret
-
-    def load(self, data, *, many=None, partial=None, unknown=None):
-        """Deserialize a data structure to an object defined by this Schema's fields.
-
-        :param dict data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        return self._do_load(
-            data, many=many, partial=partial, unknown=unknown, postprocess=True
-        )
-
-    def loads(self, json_data, *, many=None, partial=None, unknown=None, **kwargs):
-        """Same as :meth:`load`, except it takes a JSON string as input.
-
-        :param str json_data: A JSON string of the data to deserialize.
-        :param bool many: Whether to deserialize `obj` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        data = self.opts.render_module.loads(json_data, **kwargs)
-        return self.load(data, many=many, partial=partial, unknown=unknown)
-
-    def _run_validator(
-        self,
-        validator_func,
-        output,
-        *,
-        original_data,
-        error_store,
-        many,
-        partial,
-        pass_original,
-        index=None
-    ):
-        try:
-            if pass_original:  # Pass original, raw data (before unmarshalling)
-                validator_func(output, original_data, partial=partial, many=many)
-            else:
-                validator_func(output, partial=partial, many=many)
-        except ValidationError as err:
-            error_store.store_error(err.messages, err.field_name, index=index)
-
-    def validate(self, data, *, many=None, partial=None):
-        """Validate `data` against the schema, returning a dictionary of
-        validation errors.
-
-        :param dict data: The data to validate.
-        :param bool many: Whether to validate `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :return: A dictionary of validation errors.
-        :rtype: dict
-
-        .. versionadded:: 1.1.0
-        """
-        try:
-            self._do_load(data, many=many, partial=partial, postprocess=False)
-        except ValidationError as exc:
-            return exc.messages
-        return {}
-
-    ##### Private Helpers #####
-
-    def _do_load(
-        self, data, *, many=None, partial=None, unknown=None, postprocess=True
-    ):
-        """Deserialize `data`, returning the deserialized result.
-
-        :param data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to validate required fields. If its
-            value is an iterable, only fields listed in that iterable will be
-            ignored will be allowed missing. If `True`, all fields will be allowed missing.
-            If `None`, the value for `self.partial` is used.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :param bool postprocess: Whether to run post_load methods..
-        :return: A dict of deserialized data
-        :rtype: dict
-        """
-        error_store = ErrorStore()
-        errors = {}
-        many = self.many if many is None else bool(many)
-        unknown = unknown or self.unknown
-        if partial is None:
-            partial = self.partial
-        # Run preprocessors
-        if self._has_processors(PRE_LOAD):
-            try:
-                processed_data = self._invoke_load_processors(
-                    PRE_LOAD, data, many=many, original_data=data, partial=partial
-                )
-            except ValidationError as err:
-                errors = err.normalized_messages()
-                result = None
-        else:
-            processed_data = data
-        if not errors:
-            # Deserialize data
-            result = self._deserialize(
-                processed_data,
-                error_store=error_store,
-                many=many,
-                partial=partial,
-                unknown=unknown,
-            )
-            # Run field-level validation
-            self._invoke_field_validators(
-                error_store=error_store, data=result, many=many
-            )
-            # Run schema-level validation
-            if self._has_processors(VALIDATES_SCHEMA):
-                field_errors = bool(error_store.errors)
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=True,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=False,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-            errors = error_store.errors
-            # Run post processors
-            if not errors and postprocess and self._has_processors(POST_LOAD):
-                try:
-                    result = self._invoke_load_processors(
-                        POST_LOAD,
-                        result,
-                        many=many,
-                        original_data=data,
-                        partial=partial,
-                    )
-                except ValidationError as err:
-                    errors = err.normalized_messages()
-        if errors:
-            exc = ValidationError(errors, data=data, valid_data=result)
-            self.handle_error(exc, data, many=many, partial=partial)
-            raise exc
-
-        return result
-
-    def _normalize_nested_options(self):
-        """Apply then flatten nested schema options"""
-        if self.only is not None:
-            # Apply the only option to nested fields.
-            self.__apply_nested_option("only", self.only, "intersection")
-            # Remove the child field names from the only option.
-            self.only = self.set_class([field.split(".", 1)[0] for field in self.only])
-        if self.exclude:
-            # Apply the exclude option to nested fields.
-            self.__apply_nested_option("exclude", self.exclude, "union")
-            # Remove the parent field names from the exclude option.
-            self.exclude = self.set_class(
-                [field for field in self.exclude if "." not in field]
-            )
-
-    def __apply_nested_option(self, option_name, field_names, set_operation):
-        """Apply nested options to nested fields"""
-        # Split nested field names on the first dot.
-        nested_fields = [name.split(".", 1) for name in field_names if "." in name]
-        # Partition the nested field names by parent field.
-        nested_options = defaultdict(list)
-        for parent, nested_names in nested_fields:
-            nested_options[parent].append(nested_names)
-        # Apply the nested field options.
-        for key, options in iter(nested_options.items()):
-            new_options = self.set_class(options)
-            original_options = getattr(self.declared_fields[key], option_name, ())
-            if original_options:
-                if set_operation == "union":
-                    new_options |= self.set_class(original_options)
-                if set_operation == "intersection":
-                    new_options &= self.set_class(original_options)
-            setattr(self.declared_fields[key], option_name, new_options)
-
-    def _init_fields(self):
-        """Update fields based on schema options."""
-        if self.opts.fields:
-            available_field_names = self.set_class(self.opts.fields)
-        else:
-            available_field_names = self.set_class(self.declared_fields.keys())
-            if self.opts.additional:
-                available_field_names |= self.set_class(self.opts.additional)
-
-        invalid_fields = self.set_class()
-
-        if self.only is not None:
-            # Return only fields specified in only option
-            field_names = self.set_class(self.only)
-
-            invalid_fields |= field_names - available_field_names
-        else:
-            field_names = available_field_names
-
-        # If "exclude" option or param is specified, remove those fields.
-        if self.exclude:
-            # Note that this isn't available_field_names, since we want to
-            # apply "only" for the actual calculation.
-            field_names = field_names - self.exclude
-            invalid_fields |= self.exclude - available_field_names
-
-        if invalid_fields:
-            message = "Invalid fields for {}: {}.".format(self, invalid_fields)
-            raise ValueError(message)
-
-        fields_dict = self.dict_class()
-        for field_name in field_names:
-            field_obj = self.declared_fields.get(field_name, ma_fields.Inferred())
-            self._bind_field(field_name, field_obj)
-            fields_dict[field_name] = field_obj
-
-        dump_data_keys = [
-            obj.data_key or name
-            for name, obj in fields_dict.items()
-            if not obj.load_only
-        ]
-        if len(dump_data_keys) != len(set(dump_data_keys)):
-            data_keys_duplicates = {
-                x for x in dump_data_keys if dump_data_keys.count(x) > 1
-            }
-            raise ValueError(
-                "The data_key argument for one or more fields collides "
-                "with another field's name or data_key argument. "
-                "Check the following field names and "
-                "data_key arguments: {}".format(list(data_keys_duplicates))
-            )
-
-        load_attributes = [
-            obj.attribute or name
-            for name, obj in fields_dict.items()
-            if not obj.dump_only
-        ]
-        if len(load_attributes) != len(set(load_attributes)):
-            attributes_duplicates = {
-                x for x in load_attributes if load_attributes.count(x) > 1
-            }
-            raise ValueError(
-                "The attribute argument for one or more fields collides "
-                "with another field's name or attribute argument. "
-                "Check the following field names and "
-                "attribute arguments: {}".format(list(attributes_duplicates))
-            )
-
-        return fields_dict
-
-    def on_bind_field(self, field_name, field_obj):
-        """Hook to modify a field when it is bound to the `Schema`.
-
-        No-op by default.
-        """
-        return None
-
-    def _bind_field(self, field_name, field_obj):
-        """Bind field to the schema, setting any necessary attributes on the
-        field (e.g. parent and name).
-
-        Also set field load_only and dump_only values if field_name was
-        specified in ``class Meta``.
-        """
-        try:
-            if field_name in self.load_only:
-                field_obj.load_only = True
-            if field_name in self.dump_only:
-                field_obj.dump_only = True
-            field_obj._bind_to_schema(field_name, self)
-            self.on_bind_field(field_name, field_obj)
-        except TypeError as error:
-            # field declared as a class, not an instance
-            if isinstance(field_obj, type) and issubclass(field_obj, base.FieldABC):
-                msg = (
-                    'Field for "{}" must be declared as a '
-                    "Field instance, not a class. "
-                    'Did you mean "fields.{}()"?'.format(field_name, field_obj.__name__)
-                )
-                raise TypeError(msg) from error
-
-    @lru_cache(maxsize=8)
-    def _has_processors(self, tag):
-        return self._hooks[(tag, True)] or self._hooks[(tag, False)]
-
-    def _invoke_dump_processors(self, tag, data, *, many, original_data=None):
-        # The pass_many post-dump processors may do things like add an envelope, so
-        # invoke those after invoking the non-pass_many processors which will expect
-        # to get a list of items.
-        data = self._invoke_processors(
-            tag, pass_many=False, data=data, many=many, original_data=original_data
-        )
-        data = self._invoke_processors(
-            tag, pass_many=True, data=data, many=many, original_data=original_data
-        )
-        return data
-
-    def _invoke_load_processors(self, tag, data, *, many, original_data, partial):
-        # This has to invert the order of the dump processors, so run the pass_many
-        # processors first.
-        data = self._invoke_processors(
-            tag,
-            pass_many=True,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        data = self._invoke_processors(
-            tag,
-            pass_many=False,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        return data
-
-    def _invoke_field_validators(self, *, error_store, data, many):
-        for attr_name in self._hooks[VALIDATES]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[VALIDATES]
-            field_name = validator_kwargs["field_name"]
-
-            try:
-                field_obj = self.fields[field_name]
-            except KeyError as error:
-                if field_name in self.declared_fields:
-                    continue
-                raise ValueError(
-                    '"{}" field does not exist.'.format(field_name)
-                ) from error
-
-            if many:
-                for idx, item in enumerate(data):
-                    try:
-                        value = item[field_obj.attribute or field_name]
-                    except KeyError:
-                        pass
-                    else:
-                        validated_value = self._call_and_store(
-                            getter_func=validator,
-                            data=value,
-                            field_name=field_obj.data_key or field_name,
-                            error_store=error_store,
-                            index=(idx if self.opts.index_errors else None),
-                        )
-                        if validated_value is missing:
-                            data[idx].pop(field_name, None)
-            else:
-                try:
-                    value = data[field_obj.attribute or field_name]
-                except KeyError:
-                    pass
-                else:
-                    validated_value = self._call_and_store(
-                        getter_func=validator,
-                        data=value,
-                        field_name=field_obj.data_key or field_name,
-                        error_store=error_store,
-                    )
-                    if validated_value is missing:
-                        data.pop(field_name, None)
-
-    def _invoke_schema_validators(
-        self,
-        *,
-        error_store,
-        pass_many,
-        data,
-        original_data,
-        many,
-        partial,
-        field_errors=False
-    ):
-        for attr_name in self._hooks[(VALIDATES_SCHEMA, pass_many)]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[
-                (VALIDATES_SCHEMA, pass_many)
-            ]
-            if field_errors and validator_kwargs["skip_on_field_errors"]:
-                continue
-            pass_original = validator_kwargs.get("pass_original", False)
-
-            if many and not pass_many:
-                for idx, (item, orig) in enumerate(zip(data, original_data)):
-                    self._run_validator(
-                        validator,
-                        item,
-                        original_data=orig,
-                        error_store=error_store,
-                        many=many,
-                        partial=partial,
-                        index=idx,
-                        pass_original=pass_original,
-                    )
-            else:
-                self._run_validator(
-                    validator,
-                    data,
-                    original_data=original_data,
-                    error_store=error_store,
-                    many=many,
-                    pass_original=pass_original,
-                    partial=partial,
-                )
-
-    def _invoke_processors(
-        self, tag, *, pass_many, data, many, original_data=None, **kwargs
-    ):
-        key = (tag, pass_many)
-        for attr_name in self._hooks[key]:
-            # This will be a bound method.
-            processor = getattr(self, attr_name)
-
-            processor_kwargs = processor.__marshmallow_hook__[key]
-            pass_original = processor_kwargs.get("pass_original", False)
-
-            if pass_many:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-            elif many:
-                if pass_original:
-                    data = [
-                        processor(item, original, many=many, **kwargs)
-                        for item, original in zip(data, original_data)
-                    ]
-                else:
-                    data = [processor(item, many=many, **kwargs) for item in data]
-            else:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-        return data
-
-
-class Schema(BaseSchema, metaclass=SchemaMeta):
-    __doc__ = BaseSchema.__doc__
+            elif field_obj
\ No newline at end of file

Passing target tests

No fail-to-pass successes recorded yet.

Failing target tests

tests/test_fields.py::TestParentAndName::test_datetime_list_inner_format

Maintained regression tests

No pass-to-pass successes recorded yet.

Regressed tests

tests/test_fields.py::test_field_aliases[Integer-Integer]
tests/test_fields.py::test_field_aliases[String-String]
tests/test_fields.py::test_field_aliases[Boolean-Boolean]
tests/test_fields.py::test_field_aliases[Url-Url]
tests/test_fields.py::TestField::test_repr
tests/test_fields.py::TestField::test_error_raised_if_uncallable_validator_passed
tests/test_fields.py::TestField::test_error_raised_if_missing_is_set_on_required_field
tests/test_fields.py::TestField::test_custom_field_receives_attr_and_obj
tests/test_fields.py::TestField::test_custom_field_receives_data_key_if_set
tests/test_fields.py::TestField::test_custom_field_follows_data_key_if_set
tests/test_fields.py::TestParentAndName::test_simple_field_parent_and_name
tests/test_fields.py::TestParentAndName::test_unbound_field_root_returns_none
tests/test_fields.py::TestParentAndName::test_list_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_tuple_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_mapping_field_inner_parent_and_name
tests/test_fields.py::TestParentAndName::test_simple_field_root
tests/test_fields.py::TestParentAndName::test_list_field_inner_root
tests/test_fields.py::TestParentAndName::test_tuple_field_inner_root
tests/test_fields.py::TestParentAndName::test_list_root_inheritance
tests/test_fields.py::TestParentAndName::test_dict_root_inheritance
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[String]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Integer]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Boolean]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Float]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Number]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[DateTime]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Time]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Date]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[TimeDelta]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Dict]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Url]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Email]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[UUID]
tests/test_fields.py::TestMetadata::test_extra_metadata_may_be_added_to_field[Decimal]
tests/test_fields.py::TestErrorMessages::test_default_error_messages_get_merged_with_parent_error_messages_cstm_msg
tests/test_fields.py::TestErrorMessages::test_default_error_messages_get_merged_with_parent_error_messages
tests/test_fields.py::TestErrorMessages::test_make_error[required-Missing
tests/test_fields.py::TestErrorMessages::test_make_error[null-Field
tests/test_fields.py::TestErrorMessages::test_make_error[custom-Custom
tests/test_fields.py::TestErrorMessages::test_make_error[validator_failed-Invalid
tests/test_fields.py::TestErrorMessages::test_fail[required-Missing
tests/test_fields.py::TestErrorMessages::test_fail[null-Field
tests/test_fields.py::TestErrorMessages::test_fail[custom-Custom
tests/test_fields.py::TestErrorMessages::test_fail[validator_failed-Invalid
tests/test_fields.py::TestErrorMessages::test_make_error_key_doesnt_exist
tests/test_fields.py::TestNestedField::test_nested_only_and_exclude_as_string[only]
tests/test_fields.py::TestNestedField::test_nested_only_and_exclude_as_string[exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[None-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[exclude-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[include-raise]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-exclude]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-include]
tests/test_fields.py::TestNestedField::test_nested_unknown_override[raise-raise]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[only]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[exclude]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestListNested::test_list_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestListNested::test_list_nested_only_and_exclude_merged_with_nested[only-expected0]
tests/test_fields.py::TestListNested::test_list_nested_only_and_exclude_merged_with_nested[exclude-expected1]
tests/test_fields.py::TestListNested::test_list_nested_partial_propagated_to_nested
tests/test_fields.py::TestTupleNested::test_tuple_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestTupleNested::test_tuple_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestTupleNested::test_tuple_nested_partial_propagated_to_nested
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[exclude]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[dump_only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_exclude_dump_only_load_only_propagated_to_nested[load_only]
tests/test_fields.py::TestDictNested::test_dict_nested_only_and_exclude_merged_with_nested[only-expected0]
tests/test_fields.py::TestDictNested::test_dict_nested_only_and_exclude_merged_with_nested[exclude-expected1]
tests/test_fields.py::TestDictNested::test_dict_nested_partial_propagated_to_nested

Harness output

+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1=
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=2
+++ CONDA_SHLVL=2
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=3
++ CONDA_SHLVL=3
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_2=/opt/miniconda3
++ CONDA_PREFIX_2=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ cd /testbed
+ git config --global --add safe.directory /testbed
+ cd /testbed
+ git status
On branch dev
Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
	modified:   src/marshmallow/schema.py

no changes added to commit (use "git add" and/or "git commit -a")
+ git show
commit 8ad28316545371a1d1d7c2ad0b32d5f8ab206853
Author: SWE-bench <setup@swebench.config>
Date:   Tue May 6 23:07:21 2025 +0000

    SWE-bench
+ git -c core.fileMode=false diff b40a0f4e33823e6d0f341f7e8684e359a99060d1
diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 520ffb44..7c428285 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -385,756 +385,4 @@ class BaseSchema(base.SchemaABC):
         for field_name, field_obj in self.fields.items():
             if field_obj.load_only:
                 self.load_fields[field_name] = field_obj
-            elif field_obj.dump_only:
-                self.dump_fields[field_name] = field_obj
-            else:
-                self.load_fields[field_name] = field_obj
-                self.dump_fields[field_name] = field_obj
-        messages = {}
-        messages.update(self._default_error_messages)
-        for cls in reversed(self.__class__.__mro__):
-            messages.update(getattr(cls, "error_messages", {}))
-        messages.update(self.error_messages or {})
-        self.error_messages = messages
-
-    def __repr__(self):
-        return "<{ClassName}(many={self.many})>".format(
-            ClassName=self.__class__.__name__, self=self
-        )
-
-    @property
-    def dict_class(self):
-        return OrderedDict if self.ordered else dict
-
-    @property
-    def set_class(self):
-        return OrderedSet if self.ordered else set
-
-    @classmethod
-    def from_dict(
-        cls, fields: typing.Dict[str, ma_fields.Field], *, name: str = "GeneratedSchema"
-    ) -> typing.Type["Schema"]:
-        """Generate a `Schema` class given a dictionary of fields.
-
-        .. code-block:: python
-
-            from marshmallow import Schema, fields
-
-            PersonSchema = Schema.from_dict({"name": fields.Str()})
-            print(PersonSchema().load({"name": "David"}))  # => {'name': 'David'}
-
-        Generated schemas are not added to the class registry and therefore cannot
-        be referred to by name in `Nested` fields.
-
-        :param dict fields: Dictionary mapping field names to field instances.
-        :param str name: Optional name for the class, which will appear in
-            the ``repr`` for the class.
-
-        .. versionadded:: 3.0.0
-        """
-        attrs = fields.copy()
-        attrs["Meta"] = type(
-            "GeneratedMeta", (getattr(cls, "Meta", object),), {"register": False}
-        )
-        schema_cls = type(name, (cls,), attrs)
-        return schema_cls
-
-    ##### Override-able methods #####
-
-    def handle_error(self, error, data, *, many, **kwargs):
-        """Custom error handler function for the schema.
-
-        :param ValidationError error: The `ValidationError` raised during (de)serialization.
-        :param data: The original input data.
-        :param bool many: Value of ``many`` on dump or load.
-        :param bool partial: Value of ``partial`` on load.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0rc9
-            Receives `many` and `partial` (on deserialization) as keyword arguments.
-        """
-        pass
-
-    def get_attribute(self, obj, attr, default):
-        """Defines how to pull values from an object to serialize.
-
-        .. versionadded:: 2.0.0
-
-        .. versionchanged:: 3.0.0a1
-            Changed position of ``obj`` and ``attr``.
-        """
-        return get_value(obj, attr, default)
-
-    ##### Serialization/Deserialization API #####
-
-    @staticmethod
-    def _call_and_store(getter_func, data, *, field_name, error_store, index=None):
-        """Call ``getter_func`` with ``data`` as its argument, and store any `ValidationErrors`.
-
-        :param callable getter_func: Function for getting the serialized/deserialized
-            value from ``data``.
-        :param data: The data passed to ``getter_func``.
-        :param str field_name: Field name.
-        :param int index: Index of the item being validated, if validating a collection,
-            otherwise `None`.
-        """
-        try:
-            value = getter_func(data)
-        except ValidationError as error:
-            error_store.store_error(error.messages, field_name, index=index)
-            # When a Nested field fails validation, the marshalled data is stored
-            # on the ValidationError's valid_data attribute
-            return error.valid_data or missing
-        return value
-
-    def _serialize(self, obj, *, many=False):
-        """Serialize ``obj``.
-
-        :param obj: The object(s) to serialize.
-        :param bool many: `True` if ``data`` should be serialized as a collection.
-        :return: A dictionary of the serialized data
-
-        .. versionchanged:: 1.0.0
-            Renamed from ``marshal``.
-        """
-        if many and obj is not None:
-            return [self._serialize(d, many=False) for d in obj]
-        ret = self.dict_class()
-        for attr_name, field_obj in self.dump_fields.items():
-            value = field_obj.serialize(attr_name, obj, accessor=self.get_attribute)
-            if value is missing:
-                continue
-            key = field_obj.data_key or attr_name
-            ret[key] = value
-        return ret
-
-    def dump(self, obj, *, many=None):
-        """Serialize an object to native Python data types according to this
-        Schema's fields.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A dict of serialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        .. versionchanged:: 3.0.0rc9
-            Validation no longer occurs upon serialization.
-        """
-        many = self.many if many is None else bool(many)
-        if many and is_iterable_but_not_string(obj):
-            obj = list(obj)
-
-        if self._has_processors(PRE_DUMP):
-            processed_obj = self._invoke_dump_processors(
-                PRE_DUMP, obj, many=many, original_data=obj
-            )
-        else:
-            processed_obj = obj
-
-        result = self._serialize(processed_obj, many=many)
-
-        if self._has_processors(POST_DUMP):
-            result = self._invoke_dump_processors(
-                POST_DUMP, result, many=many, original_data=obj
-            )
-
-        return result
-
-    def dumps(self, obj, *args, many=None, **kwargs):
-        """Same as :meth:`dump`, except return a JSON-encoded string.
-
-        :param obj: The object to serialize.
-        :param bool many: Whether to serialize `obj` as a collection. If `None`, the value
-            for `self.many` is used.
-        :return: A ``json`` string
-        :rtype: str
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the serialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if ``obj`` is invalid.
-        """
-        serialized = self.dump(obj, many=many)
-        return self.opts.render_module.dumps(serialized, *args, **kwargs)
-
-    def _deserialize(
-        self, data, *, error_store, many=False, partial=False, unknown=RAISE, index=None
-    ):
-        """Deserialize ``data``.
-
-        :param dict data: The data to deserialize.
-        :param ErrorStore error_store: Structure to store errors.
-        :param bool many: `True` if ``data`` should be deserialized as a collection.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-        :param int index: Index of the item being serialized (for storing errors) if
-            serializing a collection, otherwise `None`.
-        :return: A dictionary of the deserialized data.
-        """
-        index_errors = self.opts.index_errors
-        index = index if index_errors else None
-        if many:
-            if not is_collection(data):
-                error_store.store_error([self.error_messages["type"]], index=index)
-                ret = []
-            else:
-                ret = [
-                    self._deserialize(
-                        d,
-                        error_store=error_store,
-                        many=False,
-                        partial=partial,
-                        unknown=unknown,
-                        index=idx,
-                    )
-                    for idx, d in enumerate(data)
-                ]
-            return ret
-        ret = self.dict_class()
-        # Check data is a dict
-        if not isinstance(data, Mapping):
-            error_store.store_error([self.error_messages["type"]], index=index)
-        else:
-            partial_is_collection = is_collection(partial)
-            for attr_name, field_obj in self.load_fields.items():
-                field_name = field_obj.data_key or attr_name
-                raw_value = data.get(field_name, missing)
-                if raw_value is missing:
-                    # Ignore missing field if we're allowed to.
-                    if partial is True or (
-                        partial_is_collection and attr_name in partial
-                    ):
-                        continue
-                d_kwargs = {}
-                # Allow partial loading of nested schemas.
-                if partial_is_collection:
-                    prefix = field_name + "."
-                    len_prefix = len(prefix)
-                    sub_partial = [
-                        f[len_prefix:] for f in partial if f.startswith(prefix)
-                    ]
-                    d_kwargs["partial"] = sub_partial
-                else:
-                    d_kwargs["partial"] = partial
-                getter = lambda val: field_obj.deserialize(
-                    val, field_name, data, **d_kwargs
-                )
-                value = self._call_and_store(
-                    getter_func=getter,
-                    data=raw_value,
-                    field_name=field_name,
-                    error_store=error_store,
-                    index=index,
-                )
-                if value is not missing:
-                    key = field_obj.attribute or attr_name
-                    set_value(ret, key, value)
-            if unknown != EXCLUDE:
-                fields = {
-                    field_obj.data_key or field_name
-                    for field_name, field_obj in self.load_fields.items()
-                }
-                for key in set(data) - fields:
-                    value = data[key]
-                    if unknown == INCLUDE:
-                        set_value(ret, key, value)
-                    elif unknown == RAISE:
-                        error_store.store_error(
-                            [self.error_messages["unknown"]],
-                            key,
-                            (index if index_errors else None),
-                        )
-        return ret
-
-    def load(self, data, *, many=None, partial=None, unknown=None):
-        """Deserialize a data structure to an object defined by this Schema's fields.
-
-        :param dict data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        return self._do_load(
-            data, many=many, partial=partial, unknown=unknown, postprocess=True
-        )
-
-    def loads(self, json_data, *, many=None, partial=None, unknown=None, **kwargs):
-        """Same as :meth:`load`, except it takes a JSON string as input.
-
-        :param str json_data: A JSON string of the data to deserialize.
-        :param bool many: Whether to deserialize `obj` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :return: A dict of deserialized data
-        :rtype: dict
-
-        .. versionadded:: 1.0.0
-        .. versionchanged:: 3.0.0b7
-            This method returns the deserialized data rather than a ``(data, errors)`` duple.
-            A :exc:`ValidationError <marshmallow.exceptions.ValidationError>` is raised
-            if invalid data are passed.
-        """
-        data = self.opts.render_module.loads(json_data, **kwargs)
-        return self.load(data, many=many, partial=partial, unknown=unknown)
-
-    def _run_validator(
-        self,
-        validator_func,
-        output,
-        *,
-        original_data,
-        error_store,
-        many,
-        partial,
-        pass_original,
-        index=None
-    ):
-        try:
-            if pass_original:  # Pass original, raw data (before unmarshalling)
-                validator_func(output, original_data, partial=partial, many=many)
-            else:
-                validator_func(output, partial=partial, many=many)
-        except ValidationError as err:
-            error_store.store_error(err.messages, err.field_name, index=index)
-
-    def validate(self, data, *, many=None, partial=None):
-        """Validate `data` against the schema, returning a dictionary of
-        validation errors.
-
-        :param dict data: The data to validate.
-        :param bool many: Whether to validate `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to ignore missing fields and not require
-            any fields declared. Propagates down to ``Nested`` fields as well. If
-            its value is an iterable, only missing fields listed in that iterable
-            will be ignored. Use dot delimiters to specify nested fields.
-        :return: A dictionary of validation errors.
-        :rtype: dict
-
-        .. versionadded:: 1.1.0
-        """
-        try:
-            self._do_load(data, many=many, partial=partial, postprocess=False)
-        except ValidationError as exc:
-            return exc.messages
-        return {}
-
-    ##### Private Helpers #####
-
-    def _do_load(
-        self, data, *, many=None, partial=None, unknown=None, postprocess=True
-    ):
-        """Deserialize `data`, returning the deserialized result.
-
-        :param data: The data to deserialize.
-        :param bool many: Whether to deserialize `data` as a collection. If `None`, the
-            value for `self.many` is used.
-        :param bool|tuple partial: Whether to validate required fields. If its
-            value is an iterable, only fields listed in that iterable will be
-            ignored will be allowed missing. If `True`, all fields will be allowed missing.
-            If `None`, the value for `self.partial` is used.
-        :param unknown: Whether to exclude, include, or raise an error for unknown
-            fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`.
-            If `None`, the value for `self.unknown` is used.
-        :param bool postprocess: Whether to run post_load methods..
-        :return: A dict of deserialized data
-        :rtype: dict
-        """
-        error_store = ErrorStore()
-        errors = {}
-        many = self.many if many is None else bool(many)
-        unknown = unknown or self.unknown
-        if partial is None:
-            partial = self.partial
-        # Run preprocessors
-        if self._has_processors(PRE_LOAD):
-            try:
-                processed_data = self._invoke_load_processors(
-                    PRE_LOAD, data, many=many, original_data=data, partial=partial
-                )
-            except ValidationError as err:
-                errors = err.normalized_messages()
-                result = None
-        else:
-            processed_data = data
-        if not errors:
-            # Deserialize data
-            result = self._deserialize(
-                processed_data,
-                error_store=error_store,
-                many=many,
-                partial=partial,
-                unknown=unknown,
-            )
-            # Run field-level validation
-            self._invoke_field_validators(
-                error_store=error_store, data=result, many=many
-            )
-            # Run schema-level validation
-            if self._has_processors(VALIDATES_SCHEMA):
-                field_errors = bool(error_store.errors)
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=True,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-                self._invoke_schema_validators(
-                    error_store=error_store,
-                    pass_many=False,
-                    data=result,
-                    original_data=data,
-                    many=many,
-                    partial=partial,
-                    field_errors=field_errors,
-                )
-            errors = error_store.errors
-            # Run post processors
-            if not errors and postprocess and self._has_processors(POST_LOAD):
-                try:
-                    result = self._invoke_load_processors(
-                        POST_LOAD,
-                        result,
-                        many=many,
-                        original_data=data,
-                        partial=partial,
-                    )
-                except ValidationError as err:
-                    errors = err.normalized_messages()
-        if errors:
-            exc = ValidationError(errors, data=data, valid_data=result)
-            self.handle_error(exc, data, many=many, partial=partial)
-            raise exc
-
-        return result
-
-    def _normalize_nested_options(self):
-        """Apply then flatten nested schema options"""
-        if self.only is not None:
-            # Apply the only option to nested fields.
-            self.__apply_nested_option("only", self.only, "intersection")
-            # Remove the child field names from the only option.
-            self.only = self.set_class([field.split(".", 1)[0] for field in self.only])
-        if self.exclude:
-            # Apply the exclude option to nested fields.
-            self.__apply_nested_option("exclude", self.exclude, "union")
-            # Remove the parent field names from the exclude option.
-            self.exclude = self.set_class(
-                [field for field in self.exclude if "." not in field]
-            )
-
-    def __apply_nested_option(self, option_name, field_names, set_operation):
-        """Apply nested options to nested fields"""
-        # Split nested field names on the first dot.
-        nested_fields = [name.split(".", 1) for name in field_names if "." in name]
-        # Partition the nested field names by parent field.
-        nested_options = defaultdict(list)
-        for parent, nested_names in nested_fields:
-            nested_options[parent].append(nested_names)
-        # Apply the nested field options.
-        for key, options in iter(nested_options.items()):
-            new_options = self.set_class(options)
-            original_options = getattr(self.declared_fields[key], option_name, ())
-            if original_options:
-                if set_operation == "union":
-                    new_options |= self.set_class(original_options)
-                if set_operation == "intersection":
-                    new_options &= self.set_class(original_options)
-            setattr(self.declared_fields[key], option_name, new_options)
-
-    def _init_fields(self):
-        """Update fields based on schema options."""
-        if self.opts.fields:
-            available_field_names = self.set_class(self.opts.fields)
-        else:
-            available_field_names = self.set_class(self.declared_fields.keys())
-            if self.opts.additional:
-                available_field_names |= self.set_class(self.opts.additional)
-
-        invalid_fields = self.set_class()
-
-        if self.only is not None:
-            # Return only fields specified in only option
-            field_names = self.set_class(self.only)
-
-            invalid_fields |= field_names - available_field_names
-        else:
-            field_names = available_field_names
-
-        # If "exclude" option or param is specified, remove those fields.
-        if self.exclude:
-            # Note that this isn't available_field_names, since we want to
-            # apply "only" for the actual calculation.
-            field_names = field_names - self.exclude
-            invalid_fields |= self.exclude - available_field_names
-
-        if invalid_fields:
-            message = "Invalid fields for {}: {}.".format(self, invalid_fields)
-            raise ValueError(message)
-
-        fields_dict = self.dict_class()
-        for field_name in field_names:
-            field_obj = self.declared_fields.get(field_name, ma_fields.Inferred())
-            self._bind_field(field_name, field_obj)
-            fields_dict[field_name] = field_obj
-
-        dump_data_keys = [
-            obj.data_key or name
-            for name, obj in fields_dict.items()
-            if not obj.load_only
-        ]
-        if len(dump_data_keys) != len(set(dump_data_keys)):
-            data_keys_duplicates = {
-                x for x in dump_data_keys if dump_data_keys.count(x) > 1
-            }
-            raise ValueError(
-                "The data_key argument for one or more fields collides "
-                "with another field's name or data_key argument. "
-                "Check the following field names and "
-                "data_key arguments: {}".format(list(data_keys_duplicates))
-            )
-
-        load_attributes = [
-            obj.attribute or name
-            for name, obj in fields_dict.items()
-            if not obj.dump_only
-        ]
-        if len(load_attributes) != len(set(load_attributes)):
-            attributes_duplicates = {
-                x for x in load_attributes if load_attributes.count(x) > 1
-            }
-            raise ValueError(
-                "The attribute argument for one or more fields collides "
-                "with another field's name or attribute argument. "
-                "Check the following field names and "
-                "attribute arguments: {}".format(list(attributes_duplicates))
-            )
-
-        return fields_dict
-
-    def on_bind_field(self, field_name, field_obj):
-        """Hook to modify a field when it is bound to the `Schema`.
-
-        No-op by default.
-        """
-        return None
-
-    def _bind_field(self, field_name, field_obj):
-        """Bind field to the schema, setting any necessary attributes on the
-        field (e.g. parent and name).
-
-        Also set field load_only and dump_only values if field_name was
-        specified in ``class Meta``.
-        """
-        try:
-            if field_name in self.load_only:
-                field_obj.load_only = True
-            if field_name in self.dump_only:
-                field_obj.dump_only = True
-            field_obj._bind_to_schema(field_name, self)
-            self.on_bind_field(field_name, field_obj)
-        except TypeError as error:
-            # field declared as a class, not an instance
-            if isinstance(field_obj, type) and issubclass(field_obj, base.FieldABC):
-                msg = (
-                    'Field for "{}" must be declared as a '
-                    "Field instance, not a class. "
-                    'Did you mean "fields.{}()"?'.format(field_name, field_obj.__name__)
-                )
-                raise TypeError(msg) from error
-
-    @lru_cache(maxsize=8)
-    def _has_processors(self, tag):
-        return self._hooks[(tag, True)] or self._hooks[(tag, False)]
-
-    def _invoke_dump_processors(self, tag, data, *, many, original_data=None):
-        # The pass_many post-dump processors may do things like add an envelope, so
-        # invoke those after invoking the non-pass_many processors which will expect
-        # to get a list of items.
-        data = self._invoke_processors(
-            tag, pass_many=False, data=data, many=many, original_data=original_data
-        )
-        data = self._invoke_processors(
-            tag, pass_many=True, data=data, many=many, original_data=original_data
-        )
-        return data
-
-    def _invoke_load_processors(self, tag, data, *, many, original_data, partial):
-        # This has to invert the order of the dump processors, so run the pass_many
-        # processors first.
-        data = self._invoke_processors(
-            tag,
-            pass_many=True,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        data = self._invoke_processors(
-            tag,
-            pass_many=False,
-            data=data,
-            many=many,
-            original_data=original_data,
-            partial=partial,
-        )
-        return data
-
-    def _invoke_field_validators(self, *, error_store, data, many):
-        for attr_name in self._hooks[VALIDATES]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[VALIDATES]
-            field_name = validator_kwargs["field_name"]
-
-            try:
-                field_obj = self.fields[field_name]
-            except KeyError as error:
-                if field_name in self.declared_fields:
-                    continue
-                raise ValueError(
-                    '"{}" field does not exist.'.format(field_name)
-                ) from error
-
-            if many:
-                for idx, item in enumerate(data):
-                    try:
-                        value = item[field_obj.attribute or field_name]
-                    except KeyError:
-                        pass
-                    else:
-                        validated_value = self._call_and_store(
-                            getter_func=validator,
-                            data=value,
-                            field_name=field_obj.data_key or field_name,
-                            error_store=error_store,
-                            index=(idx if self.opts.index_errors else None),
-                        )
-                        if validated_value is missing:
-                            data[idx].pop(field_name, None)
-            else:
-                try:
-                    value = data[field_obj.attribute or field_name]
-                except KeyError:
-                    pass
-                else:
-                    validated_value = self._call_and_store(
-                        getter_func=validator,
-                        data=value,
-                        field_name=field_obj.data_key or field_name,
-                        error_store=error_store,
-                    )
-                    if validated_value is missing:
-                        data.pop(field_name, None)
-
-    def _invoke_schema_validators(
-        self,
-        *,
-        error_store,
-        pass_many,
-        data,
-        original_data,
-        many,
-        partial,
-        field_errors=False
-    ):
-        for attr_name in self._hooks[(VALIDATES_SCHEMA, pass_many)]:
-            validator = getattr(self, attr_name)
-            validator_kwargs = validator.__marshmallow_hook__[
-                (VALIDATES_SCHEMA, pass_many)
-            ]
-            if field_errors and validator_kwargs["skip_on_field_errors"]:
-                continue
-            pass_original = validator_kwargs.get("pass_original", False)
-
-            if many and not pass_many:
-                for idx, (item, orig) in enumerate(zip(data, original_data)):
-                    self._run_validator(
-                        validator,
-                        item,
-                        original_data=orig,
-                        error_store=error_store,
-                        many=many,
-                        partial=partial,
-                        index=idx,
-                        pass_original=pass_original,
-                    )
-            else:
-                self._run_validator(
-                    validator,
-                    data,
-                    original_data=original_data,
-                    error_store=error_store,
-                    many=many,
-                    pass_original=pass_original,
-                    partial=partial,
-                )
-
-    def _invoke_processors(
-        self, tag, *, pass_many, data, many, original_data=None, **kwargs
-    ):
-        key = (tag, pass_many)
-        for attr_name in self._hooks[key]:
-            # This will be a bound method.
-            processor = getattr(self, attr_name)
-
-            processor_kwargs = processor.__marshmallow_hook__[key]
-            pass_original = processor_kwargs.get("pass_original", False)
-
-            if pass_many:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-            elif many:
-                if pass_original:
-                    data = [
-                        processor(item, original, many=many, **kwargs)
-                        for item, original in zip(data, original_data)
-                    ]
-                else:
-                    data = [processor(item, many=many, **kwargs) for item in data]
-            else:
-                if pass_original:
-                    data = processor(data, original_data, many=many, **kwargs)
-                else:
-                    data = processor(data, many=many, **kwargs)
-        return data
-
-
-class Schema(BaseSchema, metaclass=SchemaMeta):
-    __doc__ = BaseSchema.__doc__
+            elif field_obj
\ No newline at end of file
+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1='(testbed) '
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=4
+++ CONDA_SHLVL=4
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=5
++ CONDA_SHLVL=5
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_4=/opt/miniconda3
++ CONDA_PREFIX_4=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ python -m pip install -e '.[dev]'
Obtaining file:///testbed
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Checking if build backend supports build_editable: started
  Checking if build backend supports build_editable: finished with status 'done'
  Getting requirements to build editable: started
  Getting requirements to build editable: finished with status 'done'
  Preparing editable metadata (pyproject.toml): started
  Preparing editable metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pytest in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (8.3.5)
Requirement already satisfied: pytz in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (2025.2)
Requirement already satisfied: simplejson in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (3.20.1)
Requirement already satisfied: flake8==3.7.8 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (3.7.8)
Requirement already satisfied: flake8-bugbear==19.8.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (19.8.0)
Requirement already satisfied: pre-commit~=1.17 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (1.21.0)
Requirement already satisfied: tox in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==3.0.0) (4.25.0)
Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.8->marshmallow==3.0.0) (0.3)
Requirement already satisfied: pyflakes<2.2.0,>=2.1.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.8->marshmallow==3.0.0) (2.1.1)
Requirement already satisfied: pycodestyle<2.6.0,>=2.5.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.8->marshmallow==3.0.0) (2.5.0)
Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.8->marshmallow==3.0.0) (0.6.1)
Requirement already satisfied: attrs in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8-bugbear==19.8.0->marshmallow==3.0.0) (25.3.0)
Requirement already satisfied: aspy.yaml in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (1.3.0)
Requirement already satisfied: cfgv>=2.0.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (3.4.0)
Requirement already satisfied: identify>=1.0.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (2.6.10)
Requirement already satisfied: nodeenv>=0.11.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (1.9.1)
Requirement already satisfied: pyyaml in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (6.0.2)
Requirement already satisfied: six in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (1.17.0)
Requirement already satisfied: toml in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (0.10.2)
Requirement already satisfied: virtualenv>=15.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pre-commit~=1.17->marshmallow==3.0.0) (20.31.1)
Requirement already satisfied: distlib<1,>=0.3.7 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from virtualenv>=15.2->pre-commit~=1.17->marshmallow==3.0.0) (0.3.9)
Requirement already satisfied: filelock<4,>=3.12.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from virtualenv>=15.2->pre-commit~=1.17->marshmallow==3.0.0) (3.18.0)
Requirement already satisfied: platformdirs<5,>=3.9.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from virtualenv>=15.2->pre-commit~=1.17->marshmallow==3.0.0) (4.3.7)
Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==3.0.0) (1.2.2)
Requirement already satisfied: iniconfig in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==3.0.0) (2.1.0)
Requirement already satisfied: packaging in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==3.0.0) (25.0)
Requirement already satisfied: pluggy<2,>=1.5 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==3.0.0) (1.5.0)
Requirement already satisfied: tomli>=1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==3.0.0) (2.2.1)
Requirement already satisfied: cachetools>=5.5.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==3.0.0) (5.5.2)
Requirement already satisfied: chardet>=5.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==3.0.0) (5.2.0)
Requirement already satisfied: colorama>=0.4.6 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==3.0.0) (0.4.6)
Requirement already satisfied: pyproject-api>=1.8 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==3.0.0) (1.9.0)
Requirement already satisfied: typing-extensions>=4.12.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==3.0.0) (4.15.0)
Building wheels for collected packages: marshmallow
  Building editable for marshmallow (pyproject.toml): started
  Building editable for marshmallow (pyproject.toml): finished with status 'done'
  Created wheel for marshmallow: filename=marshmallow-3.0.0-0.editable-py2.py3-none-any.whl size=4552 sha256=ebe6eb9a87531162a1aad15a1bfe051c79e014f4baef10744174f7f0438b2dd4
  Stored in directory: /tmp/pip-ephem-wheel-cache-c5v2wpmt/wheels/7d/66/67/70d1ee2124ccf21d601c352e25cdca10f611f7c8b3f9ffb9e4
Successfully built marshmallow
Installing collected packages: marshmallow
  Attempting uninstall: marshmallow
    Found existing installation: marshmallow 3.0.0
    Uninstalling marshmallow-3.0.0:
      Successfully uninstalled marshmallow-3.0.0
Successfully installed marshmallow-3.0.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
+ git checkout b40a0f4e33823e6d0f341f7e8684e359a99060d1 tests/test_fields.py
Updated 0 paths from 56ab4168
+ git apply -v -
Checking patch tests/test_fields.py...
Applied patch tests/test_fields.py cleanly.
+ : '>>>>> Start Test Output'
+ pytest -rA tests/test_fields.py
ImportError while loading conftest '/testbed/tests/conftest.py'.
tests/conftest.py:4: in <module>
    from tests.base import User, UserSchema, Blog
tests/base.py:9: in <module>
    from marshmallow import Schema, fields, post_load, validate, missing
src/marshmallow/__init__.py:1: in <module>
    from marshmallow.schema import Schema, SchemaOpts
E     File "/testbed/src/marshmallow/schema.py", line 388
E       elif field_obj
E                     ^
E   SyntaxError: invalid syntax
+ : '>>>>> End Test Output'
+ git checkout b40a0f4e33823e6d0f341f7e8684e359a99060d1 tests/test_fields.py
Updated 1 path from 56ab4168

Reference output

diff --git a/src/marshmallow/fields.py b/src/marshmallow/fields.py
--- a/src/marshmallow/fields.py
+++ b/src/marshmallow/fields.py
@@ -1114,7 +1114,7 @@ def _bind_to_schema(self, field_name, schema):
         super()._bind_to_schema(field_name, schema)
         self.format = (
             self.format
-            or getattr(schema.opts, self.SCHEMA_OPTS_VAR_NAME)
+            or getattr(self.root.opts, self.SCHEMA_OPTS_VAR_NAME)
             or self.DEFAULT_FORMAT
         )
 

Task input

[version 2.20.0] TypeError: 'NoneType' object is not subscriptable
After update from version 2.19.5 to 2.20.0 I got error for code like:

```python
from marshmallow import Schema, fields, validates


class Bar(Schema):
    value = fields.String()

    @validates('value')  # <- issue here
    def validate_value(self, value):
        pass


class Foo(Schema):
    bar = fields.Nested(Bar)


sch = Foo()

sch.validate({
    'bar': 'invalid',
})
```

```
Traceback (most recent call last):
  File "/_/bug_mschema.py", line 19, in <module>
    'bar': 'invalid',
  File "/_/env/lib/python3.7/site-packages/marshmallow/schema.py", line 628, in validate
    _, errors = self._do_load(data, many, partial=partial, postprocess=False)
  File "/_/env/lib/python3.7/site-packages/marshmallow/schema.py", line 670, in _do_load
    index_errors=self.opts.index_errors,
  File "/_/env/lib/python3.7/site-packages/marshmallow/marshalling.py", line 292, in deserialize
    index=(index if index_errors else None)
  File "/_/env/lib/python3.7/site-packages/marshmallow/marshalling.py", line 65, in call_and_store
    value = getter_func(data)
  File "/_/env/lib/python3.7/site-packages/marshmallow/marshalling.py", line 285, in <lambda>
    data
  File "/_/env/lib/python3.7/site-packages/marshmallow/fields.py", line 265, in deserialize
    output = self._deserialize(value, attr, data)
  File "/_/env/lib/python3.7/site-packages/marshmallow/fields.py", line 465, in _deserialize
    data, errors = self.schema.load(value)
  File "/_/env/lib/python3.7/site-packages/marshmallow/schema.py", line 588, in load
    result, errors = self._do_load(data, many, partial=partial, postprocess=True)
  File "/_/env/lib/python3.7/site-packages/marshmallow/schema.py", line 674, in _do_load
    self._invoke_field_validators(unmarshal, data=result, many=many)
  File "/_/env/lib/python3.7/site-packages/marshmallow/schema.py", line 894, in _invoke_field_validators
    value = data[field_obj.attribute or field_name]
TypeError: 'NoneType' object is not subscriptable
```

Fix tests

tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_nested_type_with_validates_method

Regression tests

tests/test_marshalling.py::test_missing_is_falsy
tests/test_marshalling.py::TestMarshaller::test_prefix
tests/test_marshalling.py::TestMarshaller::test_marshalling_generator
tests/test_marshalling.py::TestMarshaller::test_default_to_missing
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_load_only_param
tests/test_marshalling.py::TestMarshaller::test_missing_data_are_skipped
tests/test_marshalling.py::TestMarshaller::test_serialize_with_load_only_doesnt_validate
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_param
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_and_prefix_params
tests/test_marshalling.py::TestMarshaller::test_stores_indices_of_errors_when_many_equals_true
tests/test_marshalling.py::TestMarshaller::test_doesnt_store_errors_when_index_errors_equals_false
tests/test_marshalling.py::TestUnmarshaller::test_extra_data_is_ignored
tests/test_marshalling.py::TestUnmarshaller::test_stores_errors
tests/test_marshalling.py::TestUnmarshaller::test_stores_indices_of_errors_when_many_equals_true
tests/test_marshalling.py::TestUnmarshaller::test_doesnt_store_errors_when_index_errors_equals_false
tests/test_marshalling.py::TestUnmarshaller::test_deserialize
tests/test_marshalling.py::TestUnmarshaller::test_extra_fields
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_many
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_stores_errors
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_attribute_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_load_from_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_dump_only_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_root_data
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_nested_data

Scorer detail

Resolved by official SWE-bench grading. Fail-to-pass: 100%. Pass-to-pass: 100%.

Patch text

diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 085c509b..e245283a 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -858,8 +858,6 @@ class BaseSchema(base.SchemaABC):
             data=data, many=many, original_data=original_data)
         data = self._invoke_processors(tag_name, pass_many=False,
             data=data, many=many, original_data=original_data)
-        return data
-
     def _invoke_field_validators(self, unmarshal, data, many):
         for attr_name in self.__processors__[(VALIDATES, False)]:
             validator = getattr(self, attr_name)
@@ -873,8 +871,10 @@ class BaseSchema(base.SchemaABC):
                     continue
                 raise ValueError('"{0}" field does not exist.'.format(field_name))
 
+            if data is None:
+                continue
+
             if many:
-                for idx, item in enumerate(data):
                     try:
                         value = item[field_obj.attribute or field_name]
                     except KeyError:

Stdout

[anthropic-agent] instance=marshmallow-code__marshmallow-1343
[anthropic-agent] repo=marshmallow-code/marshmallow
[anthropic-agent] sandbox=6749ab42-6b66-419a-80ea-f4c328b0063b
[anthropic-agent] model=claude-sonnet-4-5-20250929
[anthropic-agent] context_files=5
[anthropic-agent] full_file_context=yes
[anthropic-agent] edit_attempts=4

Stderr

[anthropic-agent] Attempt 1: File-rewrite plan contained no files.
[anthropic-agent] Attempt 2: Anthropic call failed for single_file_rewrite: Anthropic request failed: HTTPStatusError: Client error '429 Too Many Requests' for url 'https://api.anthropic.com/v1/messages'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429. Response body: {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your organization's rate limit of 30,000 input tokens per minute (org: 7cd50861-f334-4b49-afb7-3c1da9371b1a, model: claude-sonnet-4-5-20250929). For details, refer to: https://docs.claude.com/en/api/rate-limits. You can see the response headers for current usage. Please reduce the prompt length or the maximum t
[anthropic-agent] Attempt 3: Anthropic call failed for line_ranges: Anthropic request failed: HTTPStatusError: Client error '429 Too Many Requests' for url 'https://api.anthropic.com/v1/messages'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429. Response body: {"type":"error","error":{"type":"rate_limit_error","message":"This request would exceed your organization's rate limit of 30,000 input tokens per minute (org: 7cd50861-f334-4b49-afb7-3c1da9371b1a, model: claude-sonnet-4-5-20250929). For details, refer to: https://docs.claude.com/en/api/rate-limits. You can see the response headers for current usage. Please reduce the prompt length or the maximum t

Agent output

diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 085c509b..e245283a 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -858,8 +858,6 @@ class BaseSchema(base.SchemaABC):
             data=data, many=many, original_data=original_data)
         data = self._invoke_processors(tag_name, pass_many=False,
             data=data, many=many, original_data=original_data)
-        return data
-
     def _invoke_field_validators(self, unmarshal, data, many):
         for attr_name in self.__processors__[(VALIDATES, False)]:
             validator = getattr(self, attr_name)
@@ -873,8 +871,10 @@ class BaseSchema(base.SchemaABC):
                     continue
                 raise ValueError('"{0}" field does not exist.'.format(field_name))
 
+            if data is None:
+                continue
+
             if many:
-                for idx, item in enumerate(data):
                     try:
                         value = item[field_obj.attribute or field_name]
                     except KeyError:

Passing target tests

tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_nested_type_with_validates_method

Failing target tests

No fail-to-pass failures recorded yet.

Maintained regression tests

tests/test_marshalling.py::test_missing_is_falsy
tests/test_marshalling.py::TestMarshaller::test_prefix
tests/test_marshalling.py::TestMarshaller::test_marshalling_generator
tests/test_marshalling.py::TestMarshaller::test_default_to_missing
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_load_only_param
tests/test_marshalling.py::TestMarshaller::test_missing_data_are_skipped
tests/test_marshalling.py::TestMarshaller::test_serialize_with_load_only_doesnt_validate
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_param
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_and_prefix_params
tests/test_marshalling.py::TestMarshaller::test_stores_indices_of_errors_when_many_equals_true
tests/test_marshalling.py::TestMarshaller::test_doesnt_store_errors_when_index_errors_equals_false
tests/test_marshalling.py::TestUnmarshaller::test_extra_data_is_ignored
tests/test_marshalling.py::TestUnmarshaller::test_stores_errors
tests/test_marshalling.py::TestUnmarshaller::test_stores_indices_of_errors_when_many_equals_true
tests/test_marshalling.py::TestUnmarshaller::test_doesnt_store_errors_when_index_errors_equals_false
tests/test_marshalling.py::TestUnmarshaller::test_deserialize
tests/test_marshalling.py::TestUnmarshaller::test_extra_fields
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_many
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_stores_errors
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_attribute_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_load_from_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_dump_only_param
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_root_data
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_nested_data

Regressed tests

No regression failures recorded yet.

Harness output

+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1=
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''2'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_1='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=2
+++ CONDA_SHLVL=2
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_1=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''3'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_2='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=3
++ CONDA_SHLVL=3
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_2=/opt/miniconda3
++ CONDA_PREFIX_2=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ cd /testbed
+ git config --global --add safe.directory /testbed
+ cd /testbed
+ git status
On branch dev
Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
	modified:   src/marshmallow/schema.py

no changes added to commit (use "git add" and/or "git commit -a")
+ git show
commit d4f98233971ee3e73bba47026cd77b4ba69a25bb
Author: SWE-bench <setup@swebench.config>
Date:   Tue May 6 23:07:21 2025 +0000

    SWE-bench
+ git -c core.fileMode=false diff 2be2d83a1a9a6d3d9b85804f3ab545cecc409bb0
diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
index 085c509b..e245283a 100644
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -858,8 +858,6 @@ class BaseSchema(base.SchemaABC):
             data=data, many=many, original_data=original_data)
         data = self._invoke_processors(tag_name, pass_many=False,
             data=data, many=many, original_data=original_data)
-        return data
-
     def _invoke_field_validators(self, unmarshal, data, many):
         for attr_name in self.__processors__[(VALIDATES, False)]:
             validator = getattr(self, attr_name)
@@ -873,8 +871,10 @@ class BaseSchema(base.SchemaABC):
                     continue
                 raise ValueError('"{0}" field does not exist.'.format(field_name))
 
+            if data is None:
+                continue
+
             if many:
-                for idx, item in enumerate(data):
                     try:
                         value = item[field_obj.attribute or field_name]
                     except KeyError:
+ source /opt/miniconda3/bin/activate
++ _CONDA_ROOT=/opt/miniconda3
++ . /opt/miniconda3/etc/profile.d/conda.sh
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ '[' -z x ']'
++ conda activate
++ local cmd=activate
++ case "$cmd" in
++ __conda_activate activate
++ '[' -n '' ']'
++ local ask_conda
+++ PS1='(testbed) '
+++ __conda_exe shell.posix activate
+++ /opt/miniconda3/bin/conda shell.posix activate
++ ask_conda='PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ eval 'PS1='\''(base) '\''
export PATH='\''/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3'\''
export CONDA_SHLVL='\''4'\''
export CONDA_DEFAULT_ENV='\''base'\''
export CONDA_PROMPT_MODIFIER='\''(base) '\''
export CONDA_PREFIX_3='\''/opt/miniconda3/envs/testbed'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+++ PS1='(base) '
+++ export PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+++ export CONDA_PREFIX=/opt/miniconda3
+++ CONDA_PREFIX=/opt/miniconda3
+++ export CONDA_SHLVL=4
+++ CONDA_SHLVL=4
+++ export CONDA_DEFAULT_ENV=base
+++ CONDA_DEFAULT_ENV=base
+++ export 'CONDA_PROMPT_MODIFIER=(base) '
+++ CONDA_PROMPT_MODIFIER='(base) '
+++ export CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ CONDA_PREFIX_3=/opt/miniconda3/envs/testbed
+++ export CONDA_EXE=/opt/miniconda3/bin/conda
+++ CONDA_EXE=/opt/miniconda3/bin/conda
+++ export _CE_M=
+++ _CE_M=
+++ export _CE_CONDA=
+++ _CE_CONDA=
+++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ __conda_hashr
++ '[' -n '' ']'
++ '[' -n '' ']'
++ hash -r
+ conda activate testbed
+ local cmd=activate
+ case "$cmd" in
+ __conda_activate activate testbed
+ '[' -n '' ']'
+ local ask_conda
++ PS1='(base) '
++ __conda_exe shell.posix activate testbed
++ /opt/miniconda3/bin/conda shell.posix activate testbed
+ ask_conda='PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
+ eval 'PS1='\''(testbed) '\''
export PATH='\''/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
export CONDA_PREFIX='\''/opt/miniconda3/envs/testbed'\''
export CONDA_SHLVL='\''5'\''
export CONDA_DEFAULT_ENV='\''testbed'\''
export CONDA_PROMPT_MODIFIER='\''(testbed) '\''
export CONDA_PREFIX_4='\''/opt/miniconda3'\''
export CONDA_EXE='\''/opt/miniconda3/bin/conda'\''
export _CE_M='\'''\''
export _CE_CONDA='\'''\''
export CONDA_PYTHON_EXE='\''/opt/miniconda3/bin/python'\'''
++ PS1='(testbed) '
++ export PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ PATH=/opt/miniconda3/envs/testbed/bin:/opt/miniconda3/condabin:/opt/miniconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
++ export CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ CONDA_PREFIX=/opt/miniconda3/envs/testbed
++ export CONDA_SHLVL=5
++ CONDA_SHLVL=5
++ export CONDA_DEFAULT_ENV=testbed
++ CONDA_DEFAULT_ENV=testbed
++ export 'CONDA_PROMPT_MODIFIER=(testbed) '
++ CONDA_PROMPT_MODIFIER='(testbed) '
++ export CONDA_PREFIX_4=/opt/miniconda3
++ CONDA_PREFIX_4=/opt/miniconda3
++ export CONDA_EXE=/opt/miniconda3/bin/conda
++ CONDA_EXE=/opt/miniconda3/bin/conda
++ export _CE_M=
++ _CE_M=
++ export _CE_CONDA=
++ _CE_CONDA=
++ export CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
++ CONDA_PYTHON_EXE=/opt/miniconda3/bin/python
+ __conda_hashr
+ '[' -n '' ']'
+ '[' -n '' ']'
+ hash -r
+ python -m pip install -e '.[dev]'
Obtaining file:///testbed
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: python-dateutil in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (2.9.0.post0)
Requirement already satisfied: simplejson in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (3.20.1)
Requirement already satisfied: pytest in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (8.3.5)
Requirement already satisfied: pytz in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (2025.2)
Requirement already satisfied: flake8==3.7.4 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (3.7.4)
Requirement already satisfied: tox in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from marshmallow==2.20.0) (4.25.0)
Requirement already satisfied: entrypoints<0.4.0,>=0.3.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.4->marshmallow==2.20.0) (0.3)
Requirement already satisfied: pyflakes<2.2.0,>=2.1.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.4->marshmallow==2.20.0) (2.1.1)
Requirement already satisfied: pycodestyle<2.6.0,>=2.5.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.4->marshmallow==2.20.0) (2.5.0)
Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from flake8==3.7.4->marshmallow==2.20.0) (0.6.1)
Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==2.20.0) (1.2.2)
Requirement already satisfied: iniconfig in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==2.20.0) (2.1.0)
Requirement already satisfied: packaging in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==2.20.0) (25.0)
Requirement already satisfied: pluggy<2,>=1.5 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==2.20.0) (1.5.0)
Requirement already satisfied: tomli>=1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from pytest->marshmallow==2.20.0) (2.2.1)
Requirement already satisfied: six>=1.5 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from python-dateutil->marshmallow==2.20.0) (1.17.0)
Requirement already satisfied: cachetools>=5.5.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (5.5.2)
Requirement already satisfied: chardet>=5.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (5.2.0)
Requirement already satisfied: colorama>=0.4.6 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (0.4.6)
Requirement already satisfied: filelock>=3.16.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (3.18.0)
Requirement already satisfied: platformdirs>=4.3.6 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (4.3.7)
Requirement already satisfied: pyproject-api>=1.8 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (1.9.0)
Requirement already satisfied: typing-extensions>=4.12.2 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (4.15.0)
Requirement already satisfied: virtualenv>=20.29.1 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from tox->marshmallow==2.20.0) (20.31.1)
Requirement already satisfied: distlib<1,>=0.3.7 in /opt/miniconda3/envs/testbed/lib/python3.9/site-packages (from virtualenv>=20.29.1->tox->marshmallow==2.20.0) (0.3.9)
Installing collected packages: marshmallow
  Attempting uninstall: marshmallow
    Found existing installation: marshmallow 2.20.0
    Uninstalling marshmallow-2.20.0:
      Successfully uninstalled marshmallow-2.20.0
  DEPRECATION: Legacy editable install of marshmallow[dev]==2.20.0 from file:///testbed (setup.py develop) is deprecated. pip 25.3 will enforce this behaviour change. A possible replacement is to add a pyproject.toml or enable --use-pep517, and use setuptools >= 64. If the resulting installation is not behaving as expected, try using --config-settings editable_mode=compat. Please consult the setuptools documentation for more information. Discussion can be found at https://github.com/pypa/pip/issues/11457
  Running setup.py develop for marshmallow
Successfully installed marshmallow
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
+ git checkout 2be2d83a1a9a6d3d9b85804f3ab545cecc409bb0 tests/test_marshalling.py
Updated 0 paths from a3815758
+ git apply -v -
Checking patch tests/test_marshalling.py...
Applied patch tests/test_marshalling.py cleanly.
+ : '>>>>> Start Test Output'
+ pytest -rA tests/test_marshalling.py
============================= test session starts ==============================
platform linux -- Python 3.9.21, pytest-8.3.5, pluggy-1.5.0 -- /opt/miniconda3/envs/testbed/bin/python
cachedir: .pytest_cache
rootdir: /testbed
configfile: setup.cfg
plugins: anyio-4.12.1
collecting ... collected 25 items

tests/test_marshalling.py::test_missing_is_falsy PASSED                  [  4%]
tests/test_marshalling.py::TestMarshaller::test_prefix PASSED            [  8%]
tests/test_marshalling.py::TestMarshaller::test_marshalling_generator PASSED [ 12%]
tests/test_marshalling.py::TestMarshaller::test_default_to_missing PASSED [ 16%]
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_load_only_param PASSED [ 20%]
tests/test_marshalling.py::TestMarshaller::test_missing_data_are_skipped PASSED [ 24%]
tests/test_marshalling.py::TestMarshaller::test_serialize_with_load_only_doesnt_validate PASSED [ 28%]
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_param PASSED [ 32%]
tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_and_prefix_params PASSED [ 36%]
tests/test_marshalling.py::TestMarshaller::test_stores_indices_of_errors_when_many_equals_true PASSED [ 40%]
tests/test_marshalling.py::TestMarshaller::test_doesnt_store_errors_when_index_errors_equals_false PASSED [ 44%]
tests/test_marshalling.py::TestUnmarshaller::test_extra_data_is_ignored PASSED [ 48%]
tests/test_marshalling.py::TestUnmarshaller::test_stores_errors PASSED   [ 52%]
tests/test_marshalling.py::TestUnmarshaller::test_stores_indices_of_errors_when_many_equals_true PASSED [ 56%]
tests/test_marshalling.py::TestUnmarshaller::test_doesnt_store_errors_when_index_errors_equals_false PASSED [ 60%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize PASSED     [ 64%]
tests/test_marshalling.py::TestUnmarshaller::test_extra_fields PASSED    [ 68%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_many PASSED [ 72%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_stores_errors PASSED [ 76%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_attribute_param PASSED [ 80%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_load_from_param PASSED [ 84%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_dump_only_param PASSED [ 88%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_root_data PASSED [ 92%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_nested_data PASSED [ 96%]
tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_nested_type_with_validates_method PASSED [100%]

=============================== warnings summary ===============================
src/marshmallow/__init__.py:19
  /testbed/src/marshmallow/__init__.py:19: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
    __version_info__ = tuple(LooseVersion(__version__).version)

tests/test_marshalling.py::TestUnmarshaller::test_extra_data_is_ignored
  /testbed/src/marshmallow/marshalling.py:253: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
    if not isinstance(data, collections.Mapping):

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
=========================== short test summary info ============================
PASSED tests/test_marshalling.py::test_missing_is_falsy
PASSED tests/test_marshalling.py::TestMarshaller::test_prefix
PASSED tests/test_marshalling.py::TestMarshaller::test_marshalling_generator
PASSED tests/test_marshalling.py::TestMarshaller::test_default_to_missing
PASSED tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_load_only_param
PASSED tests/test_marshalling.py::TestMarshaller::test_missing_data_are_skipped
PASSED tests/test_marshalling.py::TestMarshaller::test_serialize_with_load_only_doesnt_validate
PASSED tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_param
PASSED tests/test_marshalling.py::TestMarshaller::test_serialize_fields_with_dump_to_and_prefix_params
PASSED tests/test_marshalling.py::TestMarshaller::test_stores_indices_of_errors_when_many_equals_true
PASSED tests/test_marshalling.py::TestMarshaller::test_doesnt_store_errors_when_index_errors_equals_false
PASSED tests/test_marshalling.py::TestUnmarshaller::test_extra_data_is_ignored
PASSED tests/test_marshalling.py::TestUnmarshaller::test_stores_errors
PASSED tests/test_marshalling.py::TestUnmarshaller::test_stores_indices_of_errors_when_many_equals_true
PASSED tests/test_marshalling.py::TestUnmarshaller::test_doesnt_store_errors_when_index_errors_equals_false
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize
PASSED tests/test_marshalling.py::TestUnmarshaller::test_extra_fields
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_many
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_stores_errors
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_attribute_param
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_load_from_param
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_fields_with_dump_only_param
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_root_data
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_type_nested_data
PASSED tests/test_marshalling.py::TestUnmarshaller::test_deserialize_wrong_nested_type_with_validates_method
======================== 25 passed, 2 warnings in 0.04s ========================
+ : '>>>>> End Test Output'
+ git checkout 2be2d83a1a9a6d3d9b85804f3ab545cecc409bb0 tests/test_marshalling.py
Updated 1 path from a3815758

Reference output

diff --git a/src/marshmallow/schema.py b/src/marshmallow/schema.py
--- a/src/marshmallow/schema.py
+++ b/src/marshmallow/schema.py
@@ -877,7 +877,7 @@ def _invoke_field_validators(self, unmarshal, data, many):
                 for idx, item in enumerate(data):
                     try:
                         value = item[field_obj.attribute or field_name]
-                    except KeyError:
+                    except (KeyError, TypeError):
                         pass
                     else:
                         validated_value = unmarshal.call_and_store(
@@ -892,7 +892,7 @@ def _invoke_field_validators(self, unmarshal, data, many):
             else:
                 try:
                     value = data[field_obj.attribute or field_name]
-                except KeyError:
+                except (KeyError, TypeError):
                     pass
                 else:
                     validated_value = unmarshal.call_and_store(