From bacf5ce547113753d01cc0ca2846e3edebcde05b Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 16:27:30 +0200 Subject: [PATCH 01/56] returning dgram --- colabdesign/af/model.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index 49bb07a2..f186facc 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -12,7 +12,7 @@ from colabdesign.af.prep import _af_prep from colabdesign.af.loss import _af_loss, get_plddt, get_pae, get_ptm -from colabdesign.af.loss import get_contact_map +from colabdesign.af.loss import get_contact_map, get_dgram_bins from colabdesign.af.utils import _af_utils from colabdesign.af.design import _af_design from colabdesign.af.inputs import _af_inputs @@ -208,7 +208,10 @@ def _model(params, model_params, inputs, key): "plddt": get_plddt(outputs), "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), + "dgram": outputs["distogram"]["logits"], + "dgram_bins": get_dgram_bins(outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), + "ic_ptm": get_ptm(inputs, outputs, interface=True), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) From f467bdfe4e52f13b1317fa3373b93e442fbb3c47 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:14:59 +0200 Subject: [PATCH 02/56] added calculation for interface ptm --- colabdesign/af/loss.py | 54 +++++++++++++++++++++++++++++++++++++++++- 1 file changed, 53 insertions(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index e5cb7ae8..81c69077 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -454,4 +454,56 @@ def or_masks(*m): mask = m[0] for n in range(1,len(m)): mask = jnp.logical_or(mask,m[n]) - return mask \ No newline at end of file + return mask + + +def get_chain_indices(chain_boundaries): + """Returns a list of tuples indicating the start and end indices for each chain.""" + chain_starts_ends = [] + unique_chains = np.unique(chain_boundaries) + for chain in unique_chains: + positions = np.where(chain_boundaries == chain)[0] + chain_starts_ends.append((positions[0], positions[-1])) + return chain_starts_ends + +def get_ifptm(af, outputs): + import string # For generating chain labels + + # Extract necessary data from af object + original_seq_mask = np.array(af._inputs['seq_mask'], copy=True) # Copy original seq_mask + + # Initialize seq_mask to all False + af._inputs['seq_mask'][:] = False + + # Prepare a dictionary to collect results + if_ptm_results = {} + + chain_starts_ends = get_chain_indices(af._inputs['asym_id']) + + # Generate chain labels (A, B, C, ...) + chain_labels = list(string.ascii_uppercase) + + for i, (start_i, end_i) in enumerate(chain_starts_ends): + chain_label_i = chain_labels[i % len(chain_labels)] # Wrap around if more than 26 chains + for j, (start_j, end_j) in enumerate(chain_starts_ends): + chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains + if i < j: # Avoid self-comparison and duplicate comparisons + contacts = np.where(af.aux['i_cmap'][start_i:end_i+1, start_j:end_j+1] > 0.6) + + if contacts[0].size > 0: # If there are contacts + # Convert local chain positions back to global positions + global_i_positions = contacts[0] + start_i + global_j_positions = contacts[1] + start_j + + # Update seq_mask for these positions to True within af + af._inputs['seq_mask'][global_i_positions] = True + af._inputs['seq_mask'][global_j_positions] = True + + # Call get_ptm with updated af._inputs and provided outputs + if_ptm_key = f"{chain_label_i}-{chain_label_j}" + if_ptm_results[if_ptm_key] = get_ptm(af._inputs, outputs, interface=True) + + # Restore original seq_mask values to af + af._inputs['seq_mask'] = original_seq_mask + + return if_ptm_results From 44ded0826f8a10c71838490a69ca7fe8c051aa6f Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:16:05 +0200 Subject: [PATCH 03/56] returning if_ptm between all chain combinations --- colabdesign/af/model.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index f186facc..d412c38a 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -208,10 +208,8 @@ def _model(params, model_params, inputs, key): "plddt": get_plddt(outputs), "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), - "dgram": outputs["distogram"]["logits"], - "dgram_bins": get_dgram_bins(outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), - "ic_ptm": get_ptm(inputs, outputs, interface=True), + "if_ptm": get_ifptm(inputs, outputs, interface=True), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) From 864ae44895b14ad0a684d8204b3630887e210f43 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:19:53 +0200 Subject: [PATCH 04/56] correct import of get_ifptm --- colabdesign/af/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index d412c38a..4aca983b 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -11,7 +11,7 @@ from colabdesign.shared.utils import Key from colabdesign.af.prep import _af_prep -from colabdesign.af.loss import _af_loss, get_plddt, get_pae, get_ptm +from colabdesign.af.loss import _af_loss, get_plddt, get_pae, get_ptm, get_ifptm from colabdesign.af.loss import get_contact_map, get_dgram_bins from colabdesign.af.utils import _af_utils from colabdesign.af.design import _af_design From ffa0c74b823776887df73895c6fa32cfd2d76b43 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:42:41 +0200 Subject: [PATCH 05/56] corrected if_ptm calculations --- colabdesign/af/loss.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 81c69077..fc11021f 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -466,19 +466,20 @@ def get_chain_indices(chain_boundaries): chain_starts_ends.append((positions[0], positions[-1])) return chain_starts_ends -def get_ifptm(af, outputs): +def get_ifptm(inputs, outputs): import string # For generating chain labels + cmap = get_contact_map(outputs, 8) # we define interface with 8A between Cb-s # Extract necessary data from af object - original_seq_mask = np.array(af._inputs['seq_mask'], copy=True) # Copy original seq_mask + original_seq_mask = np.array(inputs['seq_mask'], copy=True) # Copy original seq_mask # Initialize seq_mask to all False - af._inputs['seq_mask'][:] = False + inputs['seq_mask'][:] = False # Prepare a dictionary to collect results if_ptm_results = {} - chain_starts_ends = get_chain_indices(af._inputs['asym_id']) + chain_starts_ends = get_chain_indices(inputs['asym_id']) # Generate chain labels (A, B, C, ...) chain_labels = list(string.ascii_uppercase) @@ -488,7 +489,7 @@ def get_ifptm(af, outputs): for j, (start_j, end_j) in enumerate(chain_starts_ends): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons - contacts = np.where(af.aux['i_cmap'][start_i:end_i+1, start_j:end_j+1] > 0.6) + contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] > 0.6) if contacts[0].size > 0: # If there are contacts # Convert local chain positions back to global positions @@ -496,12 +497,12 @@ def get_ifptm(af, outputs): global_j_positions = contacts[1] + start_j # Update seq_mask for these positions to True within af - af._inputs['seq_mask'][global_i_positions] = True - af._inputs['seq_mask'][global_j_positions] = True + inputs['seq_mask'][global_i_positions] = True + inputs['seq_mask'][global_j_positions] = True # Call get_ptm with updated af._inputs and provided outputs if_ptm_key = f"{chain_label_i}-{chain_label_j}" - if_ptm_results[if_ptm_key] = get_ptm(af._inputs, outputs, interface=True) + if_ptm_results[if_ptm_key] = get_ptm(inputs, outputs, interface=True) # Restore original seq_mask values to af af._inputs['seq_mask'] = original_seq_mask From e48b3d72d28bb013b62f5c2f9dd548812b44c0b4 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:43:04 +0200 Subject: [PATCH 06/56] updated if_ptm function call --- colabdesign/af/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index 4aca983b..ad9abca7 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -209,7 +209,7 @@ def _model(params, model_params, inputs, key): "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), - "if_ptm": get_ifptm(inputs, outputs, interface=True), + "if_ptm": get_ifptm(inputs, outputs), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) From ac785139adda05c30d40d47f1ad129cd37e75eb8 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:51:38 +0200 Subject: [PATCH 07/56] make get_ifptm compatible with jax --- colabdesign/af/loss.py | 39 +++++++++++++++++++-------------------- 1 file changed, 19 insertions(+), 20 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index fc11021f..5bb7b0c2 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -467,20 +467,19 @@ def get_chain_indices(chain_boundaries): return chain_starts_ends def get_ifptm(inputs, outputs): - import string # For generating chain labels - cmap = get_contact_map(outputs, 8) # we define interface with 8A between Cb-s + cmap = get_contact_map(outputs, 8) # Define interface with 8A between Cb-s - # Extract necessary data from af object - original_seq_mask = np.array(inputs['seq_mask'], copy=True) # Copy original seq_mask - - # Initialize seq_mask to all False - inputs['seq_mask'][:] = False + # Convert to JAX array if original seq_mask is not already a JAX array + original_seq_mask = jnp.array(inputs['seq_mask'], copy=True) + + # Initialize seq_mask to all False using JAX + inputs['seq_mask'] = jnp.zeros_like(inputs['seq_mask'], dtype=bool) # Prepare a dictionary to collect results if_ptm_results = {} chain_starts_ends = get_chain_indices(inputs['asym_id']) - + # Generate chain labels (A, B, C, ...) chain_labels = list(string.ascii_uppercase) @@ -489,22 +488,22 @@ def get_ifptm(inputs, outputs): for j, (start_j, end_j) in enumerate(chain_starts_ends): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons - contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] > 0.6) + contacts = jnp.where(cmap[start_i:end_i+1, start_j:end_j+1] > 0.6) if contacts[0].size > 0: # If there are contacts - # Convert local chain positions back to global positions + # Convert local chain positions back to global positions using JAX global_i_positions = contacts[0] + start_i global_j_positions = contacts[1] + start_j - - # Update seq_mask for these positions to True within af - inputs['seq_mask'][global_i_positions] = True - inputs['seq_mask'][global_j_positions] = True - - # Call get_ptm with updated af._inputs and provided outputs + + # Update seq_mask for these positions to True within inputs using JAX + inputs['seq_mask'] = inputs['seq_mask'].at[global_i_positions].set(True) + inputs['seq_mask'] = inputs['seq_mask'].at[global_j_positions].set(True) + + # Call get_ptm with updated inputs and outputs, assuming get_ptm is JAX-compatible if_ptm_key = f"{chain_label_i}-{chain_label_j}" if_ptm_results[if_ptm_key] = get_ptm(inputs, outputs, interface=True) - - # Restore original seq_mask values to af - af._inputs['seq_mask'] = original_seq_mask - + + # Restore original seq_mask values to inputs using JAX + inputs['seq_mask'] = original_seq_mask + return if_ptm_results From 8478135d209294d1009c9c6bc118ebdf47932aed Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 17:56:39 +0200 Subject: [PATCH 08/56] updated chain_indices function compatible with jax --- colabdesign/af/loss.py | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 5bb7b0c2..654e0c09 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -456,14 +456,20 @@ def or_masks(*m): mask = jnp.logical_or(mask,m[n]) return mask - def get_chain_indices(chain_boundaries): - """Returns a list of tuples indicating the start and end indices for each chain.""" + """Returns a list of tuples indicating the start and end indices for each chain, compatible with JAX.""" chain_starts_ends = [] - unique_chains = np.unique(chain_boundaries) - for chain in unique_chains: - positions = np.where(chain_boundaries == chain)[0] - chain_starts_ends.append((positions[0], positions[-1])) + + # Assuming chain_boundaries is sorted and consecutive + unique_chains, first_indices = jnp.unique(chain_boundaries, return_index=True) + for i, chain in enumerate(unique_chains): + if i + 1 < len(first_indices): + end_index = first_indices[i + 1] - 1 + else: + end_index = len(chain_boundaries) - 1 + start_index = first_indices[i] + chain_starts_ends.append((start_index, end_index)) + return chain_starts_ends def get_ifptm(inputs, outputs): From 673152e2f64e982991beae6be90140a1f242c91c Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 19:00:17 +0200 Subject: [PATCH 09/56] getting chain indices from other source --- colabdesign/af/model.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index ad9abca7..dc6e1be2 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -201,6 +201,8 @@ def _model(params, model_params, inputs, key): outputs = runner.apply(model_params, key(), inputs) # add aux outputs + print('lengths', self._lengths) + print('here') aux.update({"atom_positions": outputs["structure_module"]["final_atom_positions"], "atom_mask": outputs["structure_module"]["final_atom_mask"], "residue_index": inputs["residue_index"], @@ -209,7 +211,7 @@ def _model(params, model_params, inputs, key): "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), - "if_ptm": get_ifptm(inputs, outputs), + "if_ptm": get_ifptm(self._lengths, outputs), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) From db3fe86d2b5dc9e61b293c35649ead01749a2068 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 19:00:40 +0200 Subject: [PATCH 10/56] geeting chain indices from other source --- colabdesign/af/loss.py | 50 +++++++++++++++++++++--------------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 654e0c09..78d3dba2 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -456,35 +456,38 @@ def or_masks(*m): mask = jnp.logical_or(mask,m[n]) return mask -def get_chain_indices(chain_boundaries): - """Returns a list of tuples indicating the start and end indices for each chain, compatible with JAX.""" +def numpy_callback(x): + # Need to forward-declare the shape & dtype of the expected output. + result_shape = jax.core.ShapedArray(x.shape, x.dtype) + return jax.pure_callback(np.sin, result_shape, x) + + +def get_chain_indices(lengths): + """Calculate start and end indices for each chain from their lengths.""" chain_starts_ends = [] - - # Assuming chain_boundaries is sorted and consecutive - unique_chains, first_indices = jnp.unique(chain_boundaries, return_index=True) - for i, chain in enumerate(unique_chains): - if i + 1 < len(first_indices): - end_index = first_indices[i + 1] - 1 - else: - end_index = len(chain_boundaries) - 1 - start_index = first_indices[i] + start_index = 0 # Starting index of the first chain + + for length in lengths: + end_index = start_index + length - 1 # Calculate the end index for the current chain chain_starts_ends.append((start_index, end_index)) - + start_index += length # Update the start index for the next chain + return chain_starts_ends -def get_ifptm(inputs, outputs): - cmap = get_contact_map(outputs, 8) # Define interface with 8A between Cb-s - # Convert to JAX array if original seq_mask is not already a JAX array - original_seq_mask = jnp.array(inputs['seq_mask'], copy=True) + +def get_ifptm(lengths, outputs): + import string + cmap = get_contact_map(outputs, 8) # Define interface with 8A between Cb-s # Initialize seq_mask to all False using JAX - inputs['seq_mask'] = jnp.zeros_like(inputs['seq_mask'], dtype=bool) + inputs_ifptm = {} + #print(lengths.keys()) + inputs_ifptm['seq_mask'] = jnp.zeros(sum(lengths), dtype=bool) # Prepare a dictionary to collect results if_ptm_results = {} - - chain_starts_ends = get_chain_indices(inputs['asym_id']) + chain_starts_ends = get_chain_indices(lengths) # Generate chain labels (A, B, C, ...) chain_labels = list(string.ascii_uppercase) @@ -502,14 +505,11 @@ def get_ifptm(inputs, outputs): global_j_positions = contacts[1] + start_j # Update seq_mask for these positions to True within inputs using JAX - inputs['seq_mask'] = inputs['seq_mask'].at[global_i_positions].set(True) - inputs['seq_mask'] = inputs['seq_mask'].at[global_j_positions].set(True) + inputs_ifptm['seq_mask'] = inputs_ifptm['seq_mask'].at[global_i_positions].set(True) + inputs_ifptm['seq_mask'] = inputs_ifptm['seq_mask'].at[global_j_positions].set(True) # Call get_ptm with updated inputs and outputs, assuming get_ptm is JAX-compatible if_ptm_key = f"{chain_label_i}-{chain_label_j}" - if_ptm_results[if_ptm_key] = get_ptm(inputs, outputs, interface=True) - - # Restore original seq_mask values to inputs using JAX - inputs['seq_mask'] = original_seq_mask + if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True) return if_ptm_results From 30a4e503580438ce7ecd4be9d5275fd879f69a59 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 20:54:06 +0200 Subject: [PATCH 11/56] Update model.py --- colabdesign/af/model.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index dc6e1be2..6b3d90e9 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -211,11 +211,11 @@ def _model(params, model_params, inputs, key): "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), - "if_ptm": get_ifptm(self._lengths, outputs), + #"if_ptm": get_ifptm(self._lengths, outputs), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), - "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), - "prev": outputs["prev"]}) - + #"i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), + "prev": outputs["prev"]}) + print(type(self.model.aux['cmap'])) ####################################################################### # LOSS ####################################################################### From 1cba10f45fa399305548a2fa183a375fbf2b68f2 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 11 Feb 2024 22:44:25 +0200 Subject: [PATCH 12/56] removed if_ptm code from model need to move the code outside --- colabdesign/af/model.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index 6b3d90e9..a8e2b97a 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -11,7 +11,7 @@ from colabdesign.shared.utils import Key from colabdesign.af.prep import _af_prep -from colabdesign.af.loss import _af_loss, get_plddt, get_pae, get_ptm, get_ifptm +from colabdesign.af.loss import _af_loss, get_plddt, get_pae, get_ptm from colabdesign.af.loss import get_contact_map, get_dgram_bins from colabdesign.af.utils import _af_utils from colabdesign.af.design import _af_design @@ -201,8 +201,6 @@ def _model(params, model_params, inputs, key): outputs = runner.apply(model_params, key(), inputs) # add aux outputs - print('lengths', self._lengths) - print('here') aux.update({"atom_positions": outputs["structure_module"]["final_atom_positions"], "atom_mask": outputs["structure_module"]["final_atom_mask"], "residue_index": inputs["residue_index"], @@ -211,11 +209,10 @@ def _model(params, model_params, inputs, key): "pae": get_pae(outputs), "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), - #"if_ptm": get_ifptm(self._lengths, outputs), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), - #"i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), + "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) - print(type(self.model.aux['cmap'])) + ####################################################################### # LOSS ####################################################################### From 43ccdab7012793bf7f3f58e9d683334251b58d76 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 12 Feb 2024 00:40:00 +0200 Subject: [PATCH 13/56] working get_ifptm --- colabdesign/af/loss.py | 48 ++++++++++++++++++++---------------------- 1 file changed, 23 insertions(+), 25 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 78d3dba2..759fb988 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -461,33 +461,27 @@ def numpy_callback(x): result_shape = jax.core.ShapedArray(x.shape, x.dtype) return jax.pure_callback(np.sin, result_shape, x) - -def get_chain_indices(lengths): - """Calculate start and end indices for each chain from their lengths.""" +def get_chain_indices(chain_boundaries): + """Returns a list of tuples indicating the start and end indices for each chain.""" chain_starts_ends = [] - start_index = 0 # Starting index of the first chain - - for length in lengths: - end_index = start_index + length - 1 # Calculate the end index for the current chain - chain_starts_ends.append((start_index, end_index)) - start_index += length # Update the start index for the next chain - + unique_chains = np.unique(chain_boundaries) + for chain in unique_chains: + positions = np.where(chain_boundaries == chain)[0] + chain_starts_ends.append((positions[0], positions[-1])) return chain_starts_ends - -def get_ifptm(lengths, outputs): +def get_ifptm(af): import string - cmap = get_contact_map(outputs, 8) # Define interface with 8A between Cb-s + cmap = get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s - # Initialize seq_mask to all False using JAX + # Initialize seq_mask to all False inputs_ifptm = {} - #print(lengths.keys()) - inputs_ifptm['seq_mask'] = jnp.zeros(sum(lengths), dtype=bool) + inputs_ifptm['seq_mask'] = np.zeros(len(af._inputs['asym_id']), dtype=int) # Prepare a dictionary to collect results if_ptm_results = {} - chain_starts_ends = get_chain_indices(lengths) + chain_starts_ends = get_chain_indices(af._inputs['asym_id']) # Generate chain labels (A, B, C, ...) chain_labels = list(string.ascii_uppercase) @@ -497,19 +491,23 @@ def get_ifptm(lengths, outputs): for j, (start_j, end_j) in enumerate(chain_starts_ends): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons - contacts = jnp.where(cmap[start_i:end_i+1, start_j:end_j+1] > 0.6) + contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] >= 0.6) if contacts[0].size > 0: # If there are contacts # Convert local chain positions back to global positions using JAX global_i_positions = contacts[0] + start_i global_j_positions = contacts[1] + start_j - - # Update seq_mask for these positions to True within inputs using JAX - inputs_ifptm['seq_mask'] = inputs_ifptm['seq_mask'].at[global_i_positions].set(True) - inputs_ifptm['seq_mask'] = inputs_ifptm['seq_mask'].at[global_j_positions].set(True) - - # Call get_ptm with updated inputs and outputs, assuming get_ptm is JAX-compatible + global_positions = np.concatenate((global_i_positions, global_j_positions)) + + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][global_positions] = 1 + #inputs_ifptm['seq_mask'][range(0,57)] = 1 + + print('+'.join(sorted(set(map(lambda x: str(x + 1), global_positions))))) + print(inputs_ifptm['seq_mask']) + #inputs_ifptm['seq_mask'] = np.ones(len(af._inputs['asym_id']), dtype=int) + # Call get_ptm with updated inputs and outputs if_ptm_key = f"{chain_label_i}-{chain_label_j}" - if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True) + if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, af.aux['debug']['outputs'], interface=True) return if_ptm_results From 62b45be3ffe898cd973f0cca24cf2608486c5166 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 12 Feb 2024 00:40:39 +0200 Subject: [PATCH 14/56] working get_ifptm From 34c081a8e43d1f5583ef4466855ba64d124573e4 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sat, 17 Feb 2024 22:19:11 +0100 Subject: [PATCH 15/56] get_ifptm works but gives unexpected results --- colabdesign/af/loss.py | 35 ++++++++++++++++++++++------------- 1 file changed, 22 insertions(+), 13 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 759fb988..9ab420fb 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -105,11 +105,11 @@ def get_pae(outputs): bin_centers = jnp.append(bin_centers,bin_centers[-1]+step) return (prob*bin_centers).sum(-1) -def get_ptm(inputs, outputs, interface=False): +def get_ptm(inputs, outputs, interface=False, trim=False): pae = {"residue_weights":inputs["seq_mask"], **outputs["predicted_aligned_error"]} if interface: - if "asym_id" not in pae: + if "asym_id" not in pae or trim: pae["asym_id"] = inputs["asym_id"] else: if "asym_id" in pae: @@ -471,13 +471,13 @@ def get_chain_indices(chain_boundaries): return chain_starts_ends -def get_ifptm(af): +def get_ifptm(af, trim=False): import string + from copy import deepcopy cmap = get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s # Initialize seq_mask to all False inputs_ifptm = {} - inputs_ifptm['seq_mask'] = np.zeros(len(af._inputs['asym_id']), dtype=int) # Prepare a dictionary to collect results if_ptm_results = {} @@ -497,17 +497,26 @@ def get_ifptm(af): # Convert local chain positions back to global positions using JAX global_i_positions = contacts[0] + start_i global_j_positions = contacts[1] + start_j - global_positions = np.concatenate((global_i_positions, global_j_positions)) - - # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 1 - #inputs_ifptm['seq_mask'][range(0,57)] = 1 + global_positions = list(set(np.concatenate((global_i_positions, global_j_positions)))) + global_positions = np.array(global_positions, dtype=int) + global_positions.sort() - print('+'.join(sorted(set(map(lambda x: str(x + 1), global_positions))))) - print(inputs_ifptm['seq_mask']) - #inputs_ifptm['seq_mask'] = np.ones(len(af._inputs['asym_id']), dtype=int) + outputs = deepcopy(af.aux['debug']['outputs']) + if trim: + inputs_ifptm['seq_mask'] = np.ones(len(set(global_positions)), dtype=int) + inputs_ifptm['seq_mask'] = np.full(len(set(global_positions)), 2, dtype=int) + outputs['predicted_aligned_error']['logits'] = outputs['predicted_aligned_error']['logits'][np.ix_(global_positions, global_positions)] + inputs_ifptm['asym_id'] = af._inputs['asym_id'][global_positions] + else: + # Initialize new input dictionary + inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) + inputs_ifptm['asym_id'] = af._inputs['asym_id'] + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][global_positions] = 2 + #inputs_ifptm['seq_mask'][range(0,57)] = 1 # for debugging + print(inputs_ifptm['seq_mask']) # Call get_ptm with updated inputs and outputs if_ptm_key = f"{chain_label_i}-{chain_label_j}" - if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, af.aux['debug']['outputs'], interface=True) + if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True, trim=trim) return if_ptm_results From c7d103012f50e2b357cedac6dd9cb66de3f7a7ee Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sat, 17 Feb 2024 22:19:56 +0100 Subject: [PATCH 16/56] modified confidence to debug if_ptm --- colabdesign/af/alphafold/common/confidence.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 1d566d86..2ebd580c 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -141,6 +141,9 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # Clip num_res to avoid negative/undefined d0. clipped_num_res = _np.maximum(residue_weights.sum(), 19) + clipped_num_res = sum(residue_weights>0) + clipped_num_res = 15 + print(clipped_num_res) # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick # "Scoring function for automated assessment of protein structure template @@ -152,18 +155,21 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # TM-Score term for every bin. tm_per_bin = 1. / (1 + _np.square(bin_centers) / _np.square(d0)) + # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - + if asym_id is None: pair_mask = _np.full((num_res,num_res),True) else: pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask + import seaborn as sns + sns.heatmap(predicted_tm_term) pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) - return (per_alignment * residue_weights).max() \ No newline at end of file + return (per_alignment * residue_weights).max() From 597281510f9348ceddf51ade1d8b7ad571df5c12 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 19 Feb 2024 13:38:00 +0100 Subject: [PATCH 17/56] Update confidence.py --- colabdesign/af/alphafold/common/confidence.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 2ebd580c..2d3537c4 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -141,6 +141,8 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # Clip num_res to avoid negative/undefined d0. clipped_num_res = _np.maximum(residue_weights.sum(), 19) + + # These lines are by Julia, for trying different number of residues clipped_num_res = sum(residue_weights>0) clipped_num_res = 15 print(clipped_num_res) From 0a8863912560fbcdee68e14871395f17272260ee Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 19 Feb 2024 13:55:09 +0100 Subject: [PATCH 18/56] updated ifptm in case no interface exists --- colabdesign/af/loss.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 9ab420fb..0f1e5f5d 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -492,6 +492,7 @@ def get_ifptm(af, trim=False): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] >= 0.6) + if_ptm_key = f"{chain_label_i}-{chain_label_j}" if contacts[0].size > 0: # If there are contacts # Convert local chain positions back to global positions using JAX @@ -516,7 +517,8 @@ def get_ifptm(af, trim=False): #inputs_ifptm['seq_mask'][range(0,57)] = 1 # for debugging print(inputs_ifptm['seq_mask']) # Call get_ptm with updated inputs and outputs - if_ptm_key = f"{chain_label_i}-{chain_label_j}" if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True, trim=trim) + else: + if_ptm_results[if_ptm_key] = None return if_ptm_results From d08bc19396a98358601dd6336e93d03866d724ab Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 3 Apr 2024 22:50:51 +0300 Subject: [PATCH 19/56] Update loss.py --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 0f1e5f5d..0be4e291 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -518,7 +518,7 @@ def get_ifptm(af, trim=False): print(inputs_ifptm['seq_mask']) # Call get_ptm with updated inputs and outputs if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True, trim=trim) - else: + else: if_ptm_results[if_ptm_key] = None return if_ptm_results From e3201a288167fb1e8b408959b7775c0c61a893d0 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 01:18:51 +0300 Subject: [PATCH 20/56] Update loss.py --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 0be4e291..8ecd93e9 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -513,7 +513,7 @@ def get_ifptm(af, trim=False): inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) inputs_ifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 2 + inputs_ifptm['seq_mask'][global_positions] = 1 #inputs_ifptm['seq_mask'][range(0,57)] = 1 # for debugging print(inputs_ifptm['seq_mask']) # Call get_ptm with updated inputs and outputs From 122857669965e6b31e1aaddef4ab5ccfc0549bfe Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 01:19:40 +0300 Subject: [PATCH 21/56] Update model.py --- colabdesign/af/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index a8e2b97a..112d3347 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -210,7 +210,7 @@ def _model(params, model_params, inputs, key): "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), - "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), + "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) ####################################################################### From 24c68f5d10df8c54e7e94729a0ab3fcfea714232 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 01:20:00 +0300 Subject: [PATCH 22/56] Update confidence.py --- colabdesign/af/alphafold/common/confidence.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 2d3537c4..b7ccf49d 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -140,11 +140,8 @@ def predicted_tm_score(logits, breaks, residue_weights = None, num_res = residue_weights.shape[0] # Clip num_res to avoid negative/undefined d0. - clipped_num_res = _np.maximum(residue_weights.sum(), 19) - - # These lines are by Julia, for trying different number of residues - clipped_num_res = sum(residue_weights>0) - clipped_num_res = 15 + print(residue_weights) + clipped_num_res = _np.maximum(len(residue_weights), 19) print(clipped_num_res) # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick @@ -152,6 +149,8 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # quality", 2004: http://zhanglab.ccmb.med.umich.edu/papers/2004_3.pdf d0 = 1.24 * (clipped_num_res - 15) ** (1./3) - 1.8 + if d0 < 0.5: + d0 = 0.5 # Convert logits to probs. probs = _softmax(logits, axis=-1) @@ -167,8 +166,6 @@ def predicted_tm_score(logits, breaks, residue_weights = None, pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask - import seaborn as sns - sns.heatmap(predicted_tm_term) pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) From fee5405da5a73079d4ba98824b988383f0f2591d Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 02:03:57 +0300 Subject: [PATCH 23/56] Revert "fixing jax.random.PRNGKeyArray error" This reverts commit 4b30ecf7178f63961a0ed51ddd6e9b2415a45d02. --- colabdesign/af/alphafold/model/utils.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/colabdesign/af/alphafold/model/utils.py b/colabdesign/af/alphafold/model/utils.py index 51655869..cf3596eb 100644 --- a/colabdesign/af/alphafold/model/utils.py +++ b/colabdesign/af/alphafold/model/utils.py @@ -168,9 +168,11 @@ def grid_keys(key, shape): def inner(key, shape, **kwargs): keys = grid_keys(key, shape) - is_prng_key = jax.dtypes.issubdtype(keys.dtype, jax.dtypes.prng_key) - signature = '()->()' if is_prng_key else '(2)->()' + signature = ( + '()->()' if isinstance(keys, jax.random.PRNGKeyArray) else '(2)->()' + ) return jnp.vectorize( functools.partial(f, shape=(), **kwargs), signature=signature )(keys) - return inner + + return inner \ No newline at end of file From ad556f7285791422def6371b587c72a78ff45b4d Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 02:04:33 +0300 Subject: [PATCH 24/56] Revert "Update confidence.py" This reverts commit 24c68f5d10df8c54e7e94729a0ab3fcfea714232. --- colabdesign/af/alphafold/common/confidence.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index b7ccf49d..2d3537c4 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -140,8 +140,11 @@ def predicted_tm_score(logits, breaks, residue_weights = None, num_res = residue_weights.shape[0] # Clip num_res to avoid negative/undefined d0. - print(residue_weights) - clipped_num_res = _np.maximum(len(residue_weights), 19) + clipped_num_res = _np.maximum(residue_weights.sum(), 19) + + # These lines are by Julia, for trying different number of residues + clipped_num_res = sum(residue_weights>0) + clipped_num_res = 15 print(clipped_num_res) # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick @@ -149,8 +152,6 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # quality", 2004: http://zhanglab.ccmb.med.umich.edu/papers/2004_3.pdf d0 = 1.24 * (clipped_num_res - 15) ** (1./3) - 1.8 - if d0 < 0.5: - d0 = 0.5 # Convert logits to probs. probs = _softmax(logits, axis=-1) @@ -166,6 +167,8 @@ def predicted_tm_score(logits, breaks, residue_weights = None, pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask + import seaborn as sns + sns.heatmap(predicted_tm_term) pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) From ebc7c96d553984564384049dda9b62ecdbc73801 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 02:04:48 +0300 Subject: [PATCH 25/56] Revert "Update model.py" This reverts commit 122857669965e6b31e1aaddef4ab5ccfc0549bfe. --- colabdesign/af/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/model.py b/colabdesign/af/model.py index 112d3347..a8e2b97a 100644 --- a/colabdesign/af/model.py +++ b/colabdesign/af/model.py @@ -210,7 +210,7 @@ def _model(params, model_params, inputs, key): "ptm": get_ptm(inputs, outputs), "i_ptm": get_ptm(inputs, outputs, interface=True), "cmap": get_contact_map(outputs, opt["con"]["cutoff"]), - "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), + "i_cmap": get_contact_map(outputs, opt["i_con"]["cutoff"]), "prev": outputs["prev"]}) ####################################################################### From 302789994b46aa959a0353da0f1da80951522526 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 02:05:04 +0300 Subject: [PATCH 26/56] Revert "Update loss.py" This reverts commit e3201a288167fb1e8b408959b7775c0c61a893d0. --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 8ecd93e9..0be4e291 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -513,7 +513,7 @@ def get_ifptm(af, trim=False): inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) inputs_ifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 1 + inputs_ifptm['seq_mask'][global_positions] = 2 #inputs_ifptm['seq_mask'][range(0,57)] = 1 # for debugging print(inputs_ifptm['seq_mask']) # Call get_ptm with updated inputs and outputs From 0455f6e794fd4a52150478c5f7d63b062311b4f9 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 02:10:01 +0300 Subject: [PATCH 27/56] Revert "Revert "fixing jax.random.PRNGKeyArray error"" This reverts commit fee5405da5a73079d4ba98824b988383f0f2591d. --- colabdesign/af/alphafold/model/utils.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/colabdesign/af/alphafold/model/utils.py b/colabdesign/af/alphafold/model/utils.py index cf3596eb..51655869 100644 --- a/colabdesign/af/alphafold/model/utils.py +++ b/colabdesign/af/alphafold/model/utils.py @@ -168,11 +168,9 @@ def grid_keys(key, shape): def inner(key, shape, **kwargs): keys = grid_keys(key, shape) - signature = ( - '()->()' if isinstance(keys, jax.random.PRNGKeyArray) else '(2)->()' - ) + is_prng_key = jax.dtypes.issubdtype(keys.dtype, jax.dtypes.prng_key) + signature = '()->()' if is_prng_key else '(2)->()' return jnp.vectorize( functools.partial(f, shape=(), **kwargs), signature=signature )(keys) - - return inner \ No newline at end of file + return inner From 7594bec68faefd958edb6e0c974706c32af62340 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 10 Apr 2024 10:42:56 +0300 Subject: [PATCH 28/56] remove error from confidence --- colabdesign/af/alphafold/common/confidence.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 2d3537c4..032dfb38 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -167,8 +167,6 @@ def predicted_tm_score(logits, breaks, residue_weights = None, pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask - import seaborn as sns - sns.heatmap(predicted_tm_term) pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) From 07e4d0de8e9fafdcdb559a7edc8a2e764965bb3a Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Thu, 11 Apr 2024 14:37:46 +0300 Subject: [PATCH 29/56] working function for getting if_ptm --- colabdesign/af/loss.py | 31 +++++++++++-------------------- 1 file changed, 11 insertions(+), 20 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 0be4e291..1feb46a3 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -105,16 +105,16 @@ def get_pae(outputs): bin_centers = jnp.append(bin_centers,bin_centers[-1]+step) return (prob*bin_centers).sum(-1) -def get_ptm(inputs, outputs, interface=False, trim=False): +def get_ptm(inputs, outputs, interface=False, invert=False): pae = {"residue_weights":inputs["seq_mask"], **outputs["predicted_aligned_error"]} if interface: - if "asym_id" not in pae or trim: + if "asym_id" not in pae: pae["asym_id"] = inputs["asym_id"] else: if "asym_id" in pae: pae.pop("asym_id") - return confidence.predicted_tm_score(**pae, use_jnp=True) + return confidence.predicted_tm_score(**pae, use_jnp=True, invert=invert) def get_dgram_bins(outputs): dgram = outputs["distogram"]["logits"] @@ -470,8 +470,7 @@ def get_chain_indices(chain_boundaries): chain_starts_ends.append((positions[0], positions[-1])) return chain_starts_ends - -def get_ifptm(af, trim=False): +def get_ifptm(af): import string from copy import deepcopy cmap = get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s @@ -503,22 +502,14 @@ def get_ifptm(af, trim=False): global_positions.sort() outputs = deepcopy(af.aux['debug']['outputs']) - if trim: - inputs_ifptm['seq_mask'] = np.ones(len(set(global_positions)), dtype=int) - inputs_ifptm['seq_mask'] = np.full(len(set(global_positions)), 2, dtype=int) - outputs['predicted_aligned_error']['logits'] = outputs['predicted_aligned_error']['logits'][np.ix_(global_positions, global_positions)] - inputs_ifptm['asym_id'] = af._inputs['asym_id'][global_positions] - else: - # Initialize new input dictionary - inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) - inputs_ifptm['asym_id'] = af._inputs['asym_id'] - # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 2 - #inputs_ifptm['seq_mask'][range(0,57)] = 1 # for debugging - print(inputs_ifptm['seq_mask']) + # Initialize new input dictionary + inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) + inputs_ifptm['asym_id'] = af._inputs['asym_id'] + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][global_positions] = 1 # Call get_ptm with updated inputs and outputs - if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True, trim=trim) + if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True) else: - if_ptm_results[if_ptm_key] = None + if_ptm_results[if_ptm_key] = 35 return if_ptm_results From 83bbb0ba0d3b3be164abe8f8e61ba24e76a3db48 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Thu, 11 Apr 2024 14:39:16 +0300 Subject: [PATCH 30/56] ptm updated to accommodate if_ptm --- colabdesign/af/alphafold/common/confidence.py | 19 ++++++------------- 1 file changed, 6 insertions(+), 13 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 032dfb38..37192533 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -111,7 +111,7 @@ def compute_predicted_aligned_error(logits, breaks, use_jnp=False): } def predicted_tm_score(logits, breaks, residue_weights = None, - asym_id = None, use_jnp=False): + asym_id = None, use_jnp=False, invert=True): """Computes predicted TM alignment or predicted interface TM alignment score. Args: @@ -135,41 +135,34 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # exp. resolved head's probability. if residue_weights is None: residue_weights = _np.ones(logits.shape[0]) - bin_centers = _calculate_bin_centers(breaks, use_jnp=use_jnp) num_res = residue_weights.shape[0] # Clip num_res to avoid negative/undefined d0. - clipped_num_res = _np.maximum(residue_weights.sum(), 19) - - # These lines are by Julia, for trying different number of residues - clipped_num_res = sum(residue_weights>0) - clipped_num_res = 15 - print(clipped_num_res) + clipped_num_res = _np.maximum(num_res, 19) # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick # "Scoring function for automated assessment of protein structure template # quality", 2004: http://zhanglab.ccmb.med.umich.edu/papers/2004_3.pdf d0 = 1.24 * (clipped_num_res - 15) ** (1./3) - 1.8 - + # Convert logits to probs. probs = _softmax(logits, axis=-1) # TM-Score term for every bin. tm_per_bin = 1. / (1 + _np.square(bin_centers) / _np.square(d0)) - + # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - + if asym_id is None: pair_mask = _np.full((num_res,num_res),True) else: pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask - pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) - return (per_alignment * residue_weights).max() + return (per_alignment * residue_weights).max() From 3bb4a247ae1d9d0a6961abfcc21fdf438c223577 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Thu, 11 Apr 2024 14:42:12 +0300 Subject: [PATCH 31/56] indentation correct --- colabdesign/af/alphafold/common/confidence.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 37192533..b6ac9df8 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -164,5 +164,4 @@ def predicted_tm_score(logits, breaks, residue_weights = None, pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) - - return (per_alignment * residue_weights).max() + return (per_alignment * residue_weights).max() From c1ccdffbf7f5c8ec15b25bb8770e3be7b3163676 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 7 Jul 2024 20:41:07 +0300 Subject: [PATCH 32/56] update to accept custom pair_mask --- colabdesign/af/alphafold/common/confidence.py | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index b6ac9df8..8e67c22b 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -111,7 +111,7 @@ def compute_predicted_aligned_error(logits, breaks, use_jnp=False): } def predicted_tm_score(logits, breaks, residue_weights = None, - asym_id = None, use_jnp=False, invert=True): + asym_id = None, use_jnp=False, pair_mask=None): """Computes predicted TM alignment or predicted interface TM alignment score. Args: @@ -122,6 +122,7 @@ def predicted_tm_score(logits, breaks, residue_weights = None, expectation. asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for ipTM calculation. + pair_mask: [num_res, num_res] as custom mask for ptm calculation, e.g. for if_ptm Returns: ptm_score: The predicted TM alignment or the predicted iTM score. @@ -155,10 +156,12 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - if asym_id is None: - pair_mask = _np.full((num_res,num_res),True) - else: - pair_mask = asym_id[:, None] != asym_id[None, :] + # If pair_mask is provided (e.g. for if_ptm), it should not be overwritten + if pair_mask is None: + if asym_id is None: + pair_mask = _np.full((num_res,num_res),True) + else: + pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) From dff410dd9130801a99b50bb0988cf1132494f86a Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 7 Jul 2024 20:41:42 +0300 Subject: [PATCH 33/56] update with pairwise iptm and ifptm --- colabdesign/af/loss.py | 28 +++++++++++++++++++--------- 1 file changed, 19 insertions(+), 9 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 1feb46a3..cff08c2c 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -105,7 +105,7 @@ def get_pae(outputs): bin_centers = jnp.append(bin_centers,bin_centers[-1]+step) return (prob*bin_centers).sum(-1) -def get_ptm(inputs, outputs, interface=False, invert=False): +def get_ptm(inputs, outputs, interface=False): pae = {"residue_weights":inputs["seq_mask"], **outputs["predicted_aligned_error"]} if interface: @@ -114,7 +114,7 @@ def get_ptm(inputs, outputs, interface=False, invert=False): else: if "asym_id" in pae: pae.pop("asym_id") - return confidence.predicted_tm_score(**pae, use_jnp=True, invert=invert) + return confidence.predicted_tm_score(**pae, use_jnp=True) def get_dgram_bins(outputs): dgram = outputs["distogram"]["logits"] @@ -477,9 +477,11 @@ def get_ifptm(af): # Initialize seq_mask to all False inputs_ifptm = {} + input_pairwise_iptm = {} + pairwise_iptm = {} # Prepare a dictionary to collect results - if_ptm_results = {} + pairwise_if_ptm = {} chain_starts_ends = get_chain_indices(af._inputs['asym_id']) # Generate chain labels (A, B, C, ...) @@ -490,8 +492,9 @@ def get_ifptm(af): for j, (start_j, end_j) in enumerate(chain_starts_ends): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons + outputs = deepcopy(af.aux['debug']['outputs']) contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] >= 0.6) - if_ptm_key = f"{chain_label_i}-{chain_label_j}" + key = f"{chain_label_i}-{chain_label_j}" if contacts[0].size > 0: # If there are contacts # Convert local chain positions back to global positions using JAX @@ -501,15 +504,22 @@ def get_ifptm(af): global_positions = np.array(global_positions, dtype=int) global_positions.sort() - outputs = deepcopy(af.aux['debug']['outputs']) # Initialize new input dictionary inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) inputs_ifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs inputs_ifptm['seq_mask'][global_positions] = 1 # Call get_ptm with updated inputs and outputs - if_ptm_results[if_ptm_key] = get_ptm(inputs_ifptm, outputs, interface=True) + pairwise_if_ptm[key] = get_ptm(inputs_ifptm, outputs, interface=True) else: - if_ptm_results[if_ptm_key] = 35 - - return if_ptm_results + pairwise_if_ptm[key] = 0 + + # Also adding regular i_ptm, pairwise + outputs = deepcopy(af.aux['debug']['outputs']) + input_pairwise_iptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) + input_pairwise_iptm['asym_id'] = af._inputs['asym_id'] + input_pairwise_iptm['seq_mask'][np.concatenate((np.arange(start_i,end_i+1), + np.arange(start_j,end_j+1)))] = 1 + pairwise_iptm[key] = get_ptm(input_pairwise_iptm, outputs, interface=True) + + return pairwise_if_ptm, pairwise_iptm From f4027d72b0b151be21c8029b52f96723bc55418b Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 7 Jul 2024 21:17:27 +0300 Subject: [PATCH 34/56] added 2 different ifptm calculations --- colabdesign/af/loss.py | 52 +++++++++++++++++++++++++++++------------- 1 file changed, 36 insertions(+), 16 deletions(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index cff08c2c..3a41431f 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -470,7 +470,7 @@ def get_chain_indices(chain_boundaries): chain_starts_ends.append((positions[0], positions[-1])) return chain_starts_ends -def get_ifptm(af): +def get_pairwise_iptm(af, calculate_interface=False): import string from copy import deepcopy cmap = get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s @@ -487,34 +487,54 @@ def get_ifptm(af): # Generate chain labels (A, B, C, ...) chain_labels = list(string.ascii_uppercase) + total_length = len(af._inputs['asym_id']) for i, (start_i, end_i) in enumerate(chain_starts_ends): chain_label_i = chain_labels[i % len(chain_labels)] # Wrap around if more than 26 chains for j, (start_j, end_j) in enumerate(chain_starts_ends): chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains if i < j: # Avoid self-comparison and duplicate comparisons outputs = deepcopy(af.aux['debug']['outputs']) - contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] >= 0.6) key = f"{chain_label_i}-{chain_label_j}" + + if calculate_interface: + contacts = np.where(cmap[start_i:end_i+1, start_j:end_j+1] >= 0.6) + + if contacts[0].size > 0: # If there are contacts + # Convert local chain positions back to global positions using JAX + global_i_positions = contacts[0] + start_i + global_j_positions = contacts[1] + start_j + global_positions = list(set(np.concatenate((global_i_positions, global_j_positions)))) + global_positions = np.array(global_positions, dtype=int) + global_positions.sort() + + # Initialize new input dictionary + inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) + inputs_ifptm['asym_id'] = af._inputs['asym_id'] + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][global_positions] = 1 + # Call get_ptm with updated inputs and outputs + pairwise_if_ptm[key] = get_ptm(inputs_ifptm, outputs, interface=True) + else: + pairwise_if_ptm[key] = 0 + else: + cmap_copy = np.zeros((total_length, total_length)) + cmap_copy[start_i:end_i+1, start_j:end_j+1] = cmap[start_i:end_i+1, start_j:end_j+1] + cmap_copy[start_j:end_j+1, start_i:end_i+1] = cmap[start_j:end_j+1, start_i:end_i+1] - if contacts[0].size > 0: # If there are contacts - # Convert local chain positions back to global positions using JAX - global_i_positions = contacts[0] + start_i - global_j_positions = contacts[1] + start_j - global_positions = list(set(np.concatenate((global_i_positions, global_j_positions)))) - global_positions = np.array(global_positions, dtype=int) - global_positions.sort() - # Initialize new input dictionary - inputs_ifptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) + inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) inputs_ifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 1 + inputs_ifptm['seq_mask'][np.concatenate((np.arange(start_i,end_i+1), + np.arange(start_j,end_j+1)))] = 1 + # Call get_ptm with updated inputs and outputs - pairwise_if_ptm[key] = get_ptm(inputs_ifptm, outputs, interface=True) - else: - pairwise_if_ptm[key] = 0 + pae = {"residue_weights":inputs_ifptm["seq_mask"], + **outputs["predicted_aligned_error"]} + pae["asym_id"] = inputs_ifptm["asym_id"] + pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, pair_mask=cmap_copy) - # Also adding regular i_ptm, pairwise + # Also adding regular i_ptm (interchain), pairwise outputs = deepcopy(af.aux['debug']['outputs']) input_pairwise_iptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) input_pairwise_iptm['asym_id'] = af._inputs['asym_id'] From c8cf98fcf5c9c19151ef29240952d9628bfa48fa Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 08:58:36 +0300 Subject: [PATCH 35/56] calculate tm_score with contact probabilities --- colabdesign/af/alphafold/common/confidence.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 8e67c22b..24065439 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -111,7 +111,7 @@ def compute_predicted_aligned_error(logits, breaks, use_jnp=False): } def predicted_tm_score(logits, breaks, residue_weights = None, - asym_id = None, use_jnp=False, pair_mask=None): + asym_id = None, use_jnp=False, pair_residue_weights=None): """Computes predicted TM alignment or predicted interface TM alignment score. Args: @@ -156,15 +156,18 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - # If pair_mask is provided (e.g. for if_ptm), it should not be overwritten - if pair_mask is None: - if asym_id is None: - pair_mask = _np.full((num_res,num_res),True) - else: - pair_mask = asym_id[:, None] != asym_id[None, :] + + if asym_id is None: + pair_mask = _np.full((num_res,num_res),True) + else: + pair_mask = asym_id[:, None] != asym_id[None, :] predicted_tm_term *= pair_mask - pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) + + # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), + # it should not be overwritten + if pair_residue_weights is None: + pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) return (per_alignment * residue_weights).max() From 30dc15b222cc8d5ea4d60fb450fcde1ffd98c8ba Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 13:20:02 +0300 Subject: [PATCH 36/56] update loss for ifptm --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 3a41431f..a0b5b35a 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -532,7 +532,7 @@ def get_pairwise_iptm(af, calculate_interface=False): pae = {"residue_weights":inputs_ifptm["seq_mask"], **outputs["predicted_aligned_error"]} pae["asym_id"] = inputs_ifptm["asym_id"] - pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, pair_mask=cmap_copy) + pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, pair_residue_weights=cmap_copy) # Also adding regular i_ptm (interchain), pairwise outputs = deepcopy(af.aux['debug']['outputs']) From 694cc6bd66a4faf93773e8b20f297c21663598bd Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 15:13:40 +0300 Subject: [PATCH 37/56] probability mask usage corrected probability is already normalized as input --- colabdesign/af/alphafold/common/confidence.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 24065439..5b03d1a2 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -111,7 +111,7 @@ def compute_predicted_aligned_error(logits, breaks, use_jnp=False): } def predicted_tm_score(logits, breaks, residue_weights = None, - asym_id = None, use_jnp=False, pair_residue_weights=None): + asym_id = None, use_jnp=False, normed_residue_mask=None): """Computes predicted TM alignment or predicted interface TM alignment score. Args: @@ -122,7 +122,7 @@ def predicted_tm_score(logits, breaks, residue_weights = None, expectation. asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for ipTM calculation. - pair_mask: [num_res, num_res] as custom mask for ptm calculation, e.g. for if_ptm + normed_residue_mask: [num_res, num_res] a custom, normalized mask for ptm calculation, e.g. for if_ptm Returns: ptm_score: The predicted TM alignment or the predicted iTM score. @@ -156,7 +156,6 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - if asym_id is None: pair_mask = _np.full((num_res,num_res),True) else: @@ -164,10 +163,10 @@ def predicted_tm_score(logits, breaks, residue_weights = None, predicted_tm_term *= pair_mask - # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), + # If normed_residue_mask is provided (e.g. for if_ptm with contact probabilities), # it should not be overwritten - if pair_residue_weights is None: + if normed_residue_mask is None: pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) - normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) + normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) return (per_alignment * residue_weights).max() From 1cfa7c30e2cead7a149b30b959cc3e79299bb475 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 16:28:29 +0300 Subject: [PATCH 38/56] changed input to ifptm calculation --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index a0b5b35a..141e7e57 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -532,7 +532,7 @@ def get_pairwise_iptm(af, calculate_interface=False): pae = {"residue_weights":inputs_ifptm["seq_mask"], **outputs["predicted_aligned_error"]} pae["asym_id"] = inputs_ifptm["asym_id"] - pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, pair_residue_weights=cmap_copy) + pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, normed_residue_mask=cmap_copy) # Also adding regular i_ptm (interchain), pairwise outputs = deepcopy(af.aux['debug']['outputs']) From e2c84148b924c5d32d177cfb9f36f352d52f96ed Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 16:47:17 +0300 Subject: [PATCH 39/56] changing back to pair-residue mask normalized mask needs to sum up to 1, the probability matrix will not --- colabdesign/af/alphafold/common/confidence.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 5b03d1a2..0f4cada5 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -122,7 +122,7 @@ def predicted_tm_score(logits, breaks, residue_weights = None, expectation. asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for ipTM calculation. - normed_residue_mask: [num_res, num_res] a custom, normalized mask for ptm calculation, e.g. for if_ptm + pair_residue_weights: [num_res, num_res] unnormalized weights for ifptm calculation Returns: ptm_score: The predicted TM alignment or the predicted iTM score. @@ -165,8 +165,8 @@ def predicted_tm_score(logits, breaks, residue_weights = None, # If normed_residue_mask is provided (e.g. for if_ptm with contact probabilities), # it should not be overwritten - if normed_residue_mask is None: + if pair_residue_weights is None: pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) - normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) + normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) return (per_alignment * residue_weights).max() From 77f4426375dde808f35f18dadac6964f6cc9171c Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 16:47:53 +0300 Subject: [PATCH 40/56] Update loss.py with correct input --- colabdesign/af/loss.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/loss.py b/colabdesign/af/loss.py index 141e7e57..a0b5b35a 100644 --- a/colabdesign/af/loss.py +++ b/colabdesign/af/loss.py @@ -532,7 +532,7 @@ def get_pairwise_iptm(af, calculate_interface=False): pae = {"residue_weights":inputs_ifptm["seq_mask"], **outputs["predicted_aligned_error"]} pae["asym_id"] = inputs_ifptm["asym_id"] - pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, normed_residue_mask=cmap_copy) + pairwise_if_ptm[key] = confidence.predicted_tm_score(**pae, use_jnp=True, pair_residue_weights=cmap_copy) # Also adding regular i_ptm (interchain), pairwise outputs = deepcopy(af.aux['debug']['outputs']) From e1172cec5a4e98611bb9ba43d6a8087079cb115f Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 9 Jul 2024 16:56:03 +0300 Subject: [PATCH 41/56] Update confidence.py --- colabdesign/af/alphafold/common/confidence.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/colabdesign/af/alphafold/common/confidence.py b/colabdesign/af/alphafold/common/confidence.py index 0f4cada5..6ddb09b4 100644 --- a/colabdesign/af/alphafold/common/confidence.py +++ b/colabdesign/af/alphafold/common/confidence.py @@ -111,7 +111,7 @@ def compute_predicted_aligned_error(logits, breaks, use_jnp=False): } def predicted_tm_score(logits, breaks, residue_weights = None, - asym_id = None, use_jnp=False, normed_residue_mask=None): + asym_id = None, use_jnp=False, pair_residue_weights=None): """Computes predicted TM alignment or predicted interface TM alignment score. Args: From 61a0c5919860b53cd03fc2c1801ae235914e2c90 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Sun, 27 Oct 2024 13:21:15 +0200 Subject: [PATCH 42/56] Created using Colab --- af/examples/predict.ipynb | 93 ++++++++++++++++++++++++++++++++++----- 1 file changed, 82 insertions(+), 11 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 0d858195..eb491e90 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -24,7 +24,7 @@ "colab_type": "text" }, "source": [ - "\"Open" + "\"Open" ] }, { @@ -56,7 +56,7 @@ " aria2c -q -x 16 https://storage.googleapis.com/alphafold/alphafold_params_2022-12-06.tar; \\\n", " tar -xf alphafold_params_2022-12-06.tar -C params; touch params/done.txt )&\")\n", "\n", - " os.system(\"pip -q install git+https://github.com/sokrypton/ColabDesign.git@gamma\")\n", + " os.system(\"pip -q install git+https://github.com/gezmi/ColabDesign.git@gamma\")\n", " os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/colabdesign colabdesign\")\n", " os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/main/colabfold/colabfold.py -O colabfold_utils.py\")\n", " #os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/beta/colabfold/mmseqs/api.py\")\n", @@ -181,10 +181,26 @@ ], "metadata": { "cellView": "form", - "id": "NsRHgcGPs4fL" + "id": "NsRHgcGPs4fL", + "outputId": "9a37adb6-e3c9-492e-c997-a3a2d0e65a9a", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "execution_count": null, - "outputs": [] + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "installing ColabDesign\n", + "installing HHsuite\n", + "downloading AlphaFold params\n", + "CPU times: user 2.1 s, sys: 247 ms, total: 2.34 s\n", + "Wall time: 2min 31s\n" + ] + } + ] }, { "cell_type": "code", @@ -193,7 +209,7 @@ "sequence = \"PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK\" #@param {type:\"string\"}\n", "jobname = \"test\" #@param {type:\"string\"}\n", "\n", - "copies = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", + "copies = 2 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", "#@markdown ----\n", "#@markdown **MSA options**\n", "msa_method = \"mmseqs2\" #@param [\"mmseqs2\",\"single_sequence\", \"custom_fas\", \"custom_a3m\", \"custom_sto\"]\n", @@ -394,10 +410,59 @@ ], "metadata": { "id": "7pYi5tmHe34I", - "cellView": "form" + "cellView": "form", + "outputId": "92e7f2ac-e8b5-4889-b5f0-d07d5b0a7e5d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 648 + } }, - "execution_count": null, - "outputs": [] + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "jobname test_a5e17\n", + "length=[59] copies=1\n", + "getting unpaired MSA\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "COMPLETE: 100%|██████████| 150/150 [elapsed: 00:02 remaining: 00:00]\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "parsing msas\n", + "gathering info\n", + "filtering sequences\n", + "selecting final sequences\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "GC 6121\n" + ] + } + ] }, { "cell_type": "code", @@ -427,13 +492,20 @@ "#@markdown Model options\n", "model_type = \"auto\" #@param [\"monomer (ptm)\", \"pseudo_multimer (v3)\", \"multimer (v3)\", \"auto\"]\n", "rank_by = \"auto\" #@param [\"auto\", \"plddt\", \"ptm\"]\n", - "debug = False #@param {type:\"boolean\"}\n", + "debug = True #@param {type:\"boolean\"}\n", "use_initial_guess = False\n", "\n", "#@markdown MSA options\n", "num_msa = 512 #@param [\"1\",\"2\",\"4\",\"8\",\"16\",\"32\", \"64\", \"128\", \"256\", \"512\"] {type:\"raw\"}\n", "num_extra_msa = 1024 #@param [\"1\",\"2\",\"4\",\"8\",\"16\",\"32\", \"64\", \"128\", \"256\", \"512\", \"1024\",\"2048\",\"4096\"] {type:\"raw\"}\n", "use_cluster_profile = True #@param {type:\"boolean\"}\n", + "\n", + "#@markdown Complex option\n", + "interface_metrics = True #@param {type:\"boolean\"}\n", + "\n", + "if interface_metrics:\n", + " debug=True\n", + "\n", "if model_type == \"monomer (ptm)\":\n", " use_multimer = False\n", " pseudo_multimer = False\n", @@ -526,7 +598,6 @@ " add_cyclic_offset(af,i_cyclic)" ], "metadata": { - "cellView": "form", "id": "0AefVJipkQe3" }, "execution_count": null, From 73be30191d7c4e39244f723bc05b27bc2f625710 Mon Sep 17 00:00:00 2001 From: jvarga Date: Sun, 27 Oct 2024 14:23:37 +0200 Subject: [PATCH 43/56] added interface metrics to colabdesign --- colabdesign/af/interface_ptm.py | 236 ++++++++++++++++++++++++++++++++ 1 file changed, 236 insertions(+) create mode 100644 colabdesign/af/interface_ptm.py diff --git a/colabdesign/af/interface_ptm.py b/colabdesign/af/interface_ptm.py new file mode 100644 index 00000000..281fd452 --- /dev/null +++ b/colabdesign/af/interface_ptm.py @@ -0,0 +1,236 @@ +import numpy as np +from colabdesign.af.alphafold.common import confidence +from colabdesign.af import loss +import string +from copy import deepcopy +import jax.numpy as jnp +import jax +import scipy + + +""" Functions to calculate interface metrics on actual interfaces""" + +def get_chain_indices(chain_boundaries): + """Returns a list of tuples indicating the start and end indices for each chain.""" + chain_starts_ends = [] + unique_chains = np.unique(chain_boundaries) + for chain in unique_chains: + positions = np.where(chain_boundaries == chain)[0] + chain_starts_ends.append((positions[0], positions[-1])) + return chain_starts_ends + + +def predicted_tm_score_modified(logits, breaks, residue_weights=None, + asym_id=None, use_jnp=False, pair_residue_weights=None): + """Computes predicted TM alignment or predicted interface TM alignment score. + + Args: + logits: [num_res, num_res, num_bins] the logits output from + PredictedAlignedErrorHead. + breaks: [num_bins] the error bins. + residue_weights: [num_res] the per residue weights to use for the + expectation. + asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for + ipTM calculation. + pair_residue_weights: [num_res, num_res] unnormalized weights for ifptm calculation + + Returns: + ptm_score: The predicted TM alignment or the predicted iTM score. + """ + if use_jnp: + _np, _softmax = jnp, jax.nn.softmax + else: + _np, _softmax = np, scipy.special.softmax + + # residue_weights has to be in [0, 1], but can be floating-point, i.e. the + # exp. resolved head's probability. + if residue_weights is None: + residue_weights = _np.ones(logits.shape[0]) + bin_centers = confidence._calculate_bin_centers(breaks, use_jnp=use_jnp) + num_res = residue_weights.shape[0] + + # Clip num_res to avoid negative/undefined d0. + clipped_num_res = _np.maximum(num_res, 19) + + # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick + # "Scoring function for automated assessment of protein structure template + # quality", 2004: http://zhanglab.ccmb.med.umich.edu/papers/2004_3.pdf + d0 = 1.24 * (clipped_num_res - 15) ** (1. / 3) - 1.8 + + # Convert logits to probs. + probs = _softmax(logits, axis=-1) + + # TM-Score term for every bin. + tm_per_bin = 1. / (1 + _np.square(bin_centers) / _np.square(d0)) + + # E_distances tm(distance). + predicted_tm_term = (probs * tm_per_bin).sum(-1) + + if asym_id is None: + pair_mask = _np.full((num_res, num_res), True) + else: + pair_mask = asym_id[:, None] != asym_id[None, :] + + predicted_tm_term *= pair_mask + + # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), + # it should not be overwritten + if pair_residue_weights is None: + pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) + normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) + per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) + + return (per_alignment * residue_weights).max() + +def get_ptm_modified(inputs, outputs, interface=False): + """ This function is the same as in the original AF2, just calls a modified TM-score calculation function.""" + + pae = {"residue_weights":inputs["seq_mask"], **outputs["predicted_aligned_error"]} + + if interface: + if "asym_id" not in pae: + pae["asym_id"] = inputs["asym_id"] + else: + if "asym_id" in pae: + pae.pop("asym_id") + + return predicted_tm_score_modified(**pae, use_jnp=True) + + +def get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j): + """ + This function calculates the interface PTM score for a given interface, taking into account the contact probabilities, not binary contacts. + + Args: + af: AlphaFold object + cmap: Contact map + start_i, end_i: Start and end indices of the first chain + start_j, end_j: Start and end indices of the second chain + + Returns: + ifptm: Interface pTM score + ipTM: Interchain pTM score + """ + + total_length = len(af._inputs['asym_id']) + outputs = deepcopy(af.aux['debug']['outputs']) + inputs_ifptm = {} + + # Create a new matrix, which contains only the contacts between the two chains + cmap_copy = np.zeros((total_length, total_length)) + cmap_copy[start_i:end_i + 1, start_j:end_j + 1] = cmap[start_i:end_i + 1, start_j:end_j + 1] + cmap_copy[start_j:end_j + 1, start_i:end_i + 1] = cmap[start_j:end_j + 1, start_i:end_i + 1] + + # Initialize new input dictionary + inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) + inputs_ifptm['asym_id'] = af._inputs['asym_id'] + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), + np.arange(start_j, end_j + 1)))] = 1 + + # Call get_ptm with updated inputs and outputs + pae = {"residue_weights": inputs_ifptm["seq_mask"], + **outputs["predicted_aligned_error"], + "asym_id": inputs_ifptm["asym_id"]} + ifptm_probs = round(float(predicted_tm_score_modified(**pae, use_jnp=True, + pair_residue_weights=cmap_copy)), 3) + + return ifptm_probs + + +def get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): + """ + This function calculates the interface PTM score for a given interface, taking into account binary contacts. + In case of no confident contacts, the interface PTM score is set to 0. + + Args: + af: AlphaFold object + cmap: Contact map + start_i, end_i: Start and end indices of the first chain + start_j, end_j: Start and end indices of the second chain + + Returns: + ifptm: Interface pTM score + ipTM: Interchain pTM score + """ + + # Prepare a dictionary to collect the inputs for calculation + inputs_ifptm = {} + contacts = np.where(cmap[start_i:end_i + 1, start_j:end_j + 1] >= 0.6) + total_length = len(af._inputs['asym_id']) + outputs = deepcopy(af.aux['debug']['outputs']) + + if contacts[0].size > 0: # If there are contacts + # Convert local chain positions back to global positions using JAX + global_i_positions = contacts[0] + start_i + global_j_positions = contacts[1] + start_j + global_positions = list(set(np.concatenate((global_i_positions, global_j_positions)))) + global_positions = np.array(global_positions, dtype=int) + global_positions.sort() + + # Initialize new input dictionary + inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) + inputs_ifptm['asym_id'] = af._inputs['asym_id'] + # Update seq_mask for these positions to True within inputs + inputs_ifptm['seq_mask'][global_positions] = 1 + # Call get_ptm with updated inputs and outputs + ifptm = round(float(get_ptm_modified(inputs_ifptm, outputs, interface=True)), 3) + else: + ifptm = 0 + + return ifptm + + +def get_pairwise_iptm(af, start_i, end_i, start_j, end_j): + """This will calculate ipTM as usual, just between given chains""" + + input_pairwise_iptm = {} + + # Prepare inputs + outputs = deepcopy(af.aux['debug']['outputs']) + input_pairwise_iptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) + input_pairwise_iptm['asym_id'] = af._inputs['asym_id'] + input_pairwise_iptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), + np.arange(start_j, end_j + 1)))] = 1 + + return get_ptm_modified(input_pairwise_iptm, outputs, interface=True) + + +def get_pairwise_interface_metrics(af, calculate_interface=False): + """ + This function iterates over all pairs of chains and calculates the interface and interchain PTM score for each pair. + + Args: + af: AlphaFold object + calculate_interface: If True, calculate interface pTM score based on contact probabilities. If False, calculate interface pTM score based on binary contacts. + + Returns: + pairwise_ifptm: Dictionary containing pairwise interface pTM scores + pairwise_iptm: Dictionary containing pairwise interchain pTM scores + """ + + # Prepare a dictionary to collect results + pairwise_ifptm = {} + pairwise_iptm = {} + chain_starts_ends = get_chain_indices(af._inputs['asym_id']) + + # Generate chain labels (A, B, C, ...) + chain_labels = list(string.ascii_uppercase) + + cmap = loss.get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s + for i, (start_i, end_i) in enumerate(chain_starts_ends): + chain_label_i = chain_labels[i % len(chain_labels)] # Wrap around if more than 26 chains + for j, (start_j, end_j) in enumerate(chain_starts_ends): + chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains + if i < j: # Avoid self-comparison and duplicate comparisons + key = f"{chain_label_i}-{chain_label_j}" + + if calculate_interface: + pairwise_ifptm[key] = round(float(get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j)), 3) + else: + pairwise_ifptm[key] = round(float(get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j)), 3) + + # Also add regular i_ptm (interchain), pairwise + pairwise_iptm[key] = round(float(get_pairwise_iptm(af, start_i, end_i, start_j, end_j)), 3) + + return pairwise_ifptm, pairwise_iptm From c312f539507aff8a8bb9b3eaf116e69ae582c9bf Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 28 Oct 2024 11:09:49 +0200 Subject: [PATCH 44/56] added interface analysis --- af/examples/predict.ipynb | 4400 ++++++++++++++++++++++++++++++++++++- 1 file changed, 4379 insertions(+), 21 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index eb491e90..19303cca 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -83,6 +83,7 @@ "from colabdesign.af.contrib.cyclic import add_cyclic_offset\n", "from colabdesign.shared.protein import _np_rmsd, _np_kabsch\n", "from colabdesign.shared.plot import plot_pseudo_3D, pymol_cmap\n", + "from colabdesign.af import interface_ptm\n", "\n", "\n", "import jax\n", @@ -182,7 +183,7 @@ "metadata": { "cellView": "form", "id": "NsRHgcGPs4fL", - "outputId": "9a37adb6-e3c9-492e-c997-a3a2d0e65a9a", + "outputId": "d5054e7d-eb5f-4f63-e1f1-6cd4e30ab902", "colab": { "base_uri": "https://localhost:8080/" } @@ -196,8 +197,8 @@ "installing ColabDesign\n", "installing HHsuite\n", "downloading AlphaFold params\n", - "CPU times: user 2.1 s, sys: 247 ms, total: 2.34 s\n", - "Wall time: 2min 31s\n" + "CPU times: user 2.01 s, sys: 267 ms, total: 2.27 s\n", + "Wall time: 1min 57s\n" ] } ] @@ -411,7 +412,7 @@ "metadata": { "id": "7pYi5tmHe34I", "cellView": "form", - "outputId": "92e7f2ac-e8b5-4889-b5f0-d07d5b0a7e5d", + "outputId": "b947872e-4bc5-409f-bf15-8fc07804f344", "colab": { "base_uri": "https://localhost:8080/", "height": 648 @@ -423,8 +424,8 @@ "output_type": "stream", "name": "stdout", "text": [ - "jobname test_a5e17\n", - "length=[59] copies=1\n", + "jobname test_2ec92\n", + "length=[59] copies=2\n", "getting unpaired MSA\n" ] }, @@ -459,7 +460,7 @@ "output_type": "stream", "name": "stdout", "text": [ - "GC 6121\n" + "GC 6111\n" ] } ] @@ -482,7 +483,7 @@ "cellView": "form", "id": "RQJEQQWOk-aL" }, - "execution_count": null, + "execution_count": 3, "outputs": [] }, { @@ -598,10 +599,23 @@ " add_cyclic_offset(af,i_cyclic)" ], "metadata": { - "id": "0AefVJipkQe3" + "id": "0AefVJipkQe3", + "cellView": "form", + "outputId": "bad2c40b-4c65-4043-d7a9-b455bdd8a860", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "execution_count": null, - "outputs": [] + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "loading alphafold params\n" + ] + } + ] }, { "cell_type": "code", @@ -688,6 +702,9 @@ " tag = f\"{model}_r{recycle}_seed{seed}\"\n", " if select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", + " if interface_metrics:\n", + " ifptm_pairwise, iptm_pairwise = interface_ptm.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, ifptm_pairwise])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -698,6 +715,9 @@ "\n", " if not select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", + " if interface_metrics:\n", + " ifptm_pairwise, iptm_pairwise = interface_ptm.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, ifptm_pairwise])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -719,12 +739,16 @@ " plddt=aux_best[\"plddt\"].astype(np.float16),\n", " pae=aux_best[\"pae\"].astype(np.float16),\n", " tag=np.array(info[rank[0]][0]),\n", - " metrics=np.array(info[rank[0]][1]))\n", + " metrics=np.array(info[rank[0]][1]),\n", + " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", + " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]))\n", "np.savez_compressed(f\"{pdb_path}/all.npz\",\n", " plddt=np.array(af._tmp[\"traj\"][\"plddt\"], dtype=np.float16),\n", " pae=np.array(af._tmp[\"traj\"][\"pae\"], dtype=np.float16),\n", " tag=np.array([x[0] for x in info]),\n", - " metrics=np.array([x[1] for x in info]))\n", + " metrics=np.array([x[1] for x in info]),\n", + " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", + " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]))\n", "plot_3D(aux_best, Ls * copies, f\"{pdb_path}/best.pdf\", show=False)\n", "predict.plot_confidence(aux_best[\"plddt\"]*100, aux_best[\"pae\"], Ls * copies)\n", "plt.savefig(f\"{pdb_path}/best.png\", dpi=200, bbox_inches='tight')\n", @@ -734,11 +758,120 @@ "print(\"GC\",gc.collect())" ], "metadata": { - "cellView": "form", - "id": "xYXcKFPQyTQU" + "id": "xYXcKFPQyTQU", + "outputId": "604e3d70-1716-4745-ecd2-6c1759ee2a86", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + } }, - "execution_count": null, - "outputs": [] + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "running prediction\n", + "seed=0 model=model_1_multimer_v3 recycle=0 plddt=0.906 ptm=0.832 i_ptm=0.814 multi=0.818\n", + "seed=0 model=model_1_multimer_v3 recycle=1 plddt=0.926 ptm=0.859 i_ptm=0.850 multi=0.852 rmsd_tol=0.556\n", + "seed=0 model=model_1_multimer_v3 recycle=2 plddt=0.933 ptm=0.865 i_ptm=0.859 multi=0.860 rmsd_tol=0.195\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "seed=0 model=model_2_multimer_v3 recycle=0 plddt=0.870 ptm=0.786 i_ptm=0.779 multi=0.780\n", + "seed=0 model=model_2_multimer_v3 recycle=1 plddt=0.891 ptm=0.810 i_ptm=0.808 multi=0.809 rmsd_tol=0.527\n", + "seed=0 model=model_2_multimer_v3 recycle=2 plddt=0.905 ptm=0.828 i_ptm=0.825 multi=0.825 rmsd_tol=0.149\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "seed=0 model=model_3_multimer_v3 recycle=0 plddt=0.899 ptm=0.818 i_ptm=0.810 multi=0.812\n", + "seed=0 model=model_3_multimer_v3 recycle=1 plddt=0.922 ptm=0.854 i_ptm=0.850 multi=0.851 rmsd_tol=0.695\n", + "seed=0 model=model_3_multimer_v3 recycle=2 plddt=0.938 ptm=0.871 i_ptm=0.867 multi=0.868 rmsd_tol=0.119\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "seed=0 model=model_4_multimer_v3 recycle=0 plddt=0.923 ptm=0.845 i_ptm=0.839 multi=0.840\n", + "seed=0 model=model_4_multimer_v3 recycle=1 plddt=0.934 ptm=0.865 i_ptm=0.862 multi=0.863 rmsd_tol=0.399\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "seed=0 model=model_5_multimer_v3 recycle=0 plddt=0.922 ptm=0.855 i_ptm=0.848 multi=0.850\n", + "seed=0 model=model_5_multimer_v3 recycle=1 plddt=0.933 ptm=0.872 i_ptm=0.867 multi=0.868 rmsd_tol=0.457\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" 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\n" + }, + "metadata": {} + } + ] }, { "cell_type": "code", @@ -851,7 +1065,4151 @@ ], "metadata": { "cellView": "form", - "id": "TR2l2fcNCWHF" + "id": "TR2l2fcNCWHF", + "outputId": "4389609e-09be-4ba0-a4ce-e38eb22add8d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 621 + } + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "" + ] + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "#@title interface_analysis (optional)\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "# Given dictionary\n", + "iptm_doct = info[4]\n", + "\n", + "# Extract unique letters\n", + "letters = sorted(set([key.split('-')[0] for key in iptm_doct.keys()] + [key.split('-')[1] for key in iptm_doct.keys()]))\n", + "\n", + "# Create an empty DataFrame\n", + "data = pd.DataFrame(np.zeros((len(letters), len(letters))), index=letters, columns=letters)\n", + "\n", + "# Fill the DataFrame\n", + "for key, value in iptm_doct.items():\n", + " i, j = key.split('-')\n", + " data.loc[i, j] = value\n", + " data.loc[j, i] = value\n", + "\n", + "# Mask the diagonal\n", + "diagonal_mask = np.eye(len(letters), dtype=bool)\n", + "\n", + "# Plot the heatmap\n", + "plt.figure(figsize=(3, 3))\n", + "sns.heatmap(data, annot=True, cmap='viridis', mask=diagonal_mask, cbar=True, edgecolor='grey', clip_on=False,\n", + " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True)\n", + "plt.yticks(rotation=0)\n", + "plt.show()" + ], + "metadata": { + "id": "WoLg1yqYDbiX", + "outputId": "caa17274-f022-48dd-c1a2-94574e8e3003", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 216 + } + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "error", + "ename": "AttributeError", + "evalue": "'list' object has no attribute 'keys'", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;31m# Extract unique letters\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mletters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miptm_doct\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miptm_doct\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;31m# Create an empty DataFrame\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'keys'" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "np.eye(len(letters), dtype=bool)" + ], + "metadata": { + "id": "QoF5Yw3aG8Gq" }, "execution_count": null, "outputs": [] From e7f16c7776c77b32aed47ff92ac33655f8c487fd Mon Sep 17 00:00:00 2001 From: jvarga Date: Mon, 28 Oct 2024 14:05:43 +0200 Subject: [PATCH 45/56] added interface metrics to colabdesign --- .../af/{interface_ptm.py => chains_ptms.py} | 72 ++++++++++++++++--- 1 file changed, 61 insertions(+), 11 deletions(-) rename colabdesign/af/{interface_ptm.py => chains_ptms.py} (79%) diff --git a/colabdesign/af/interface_ptm.py b/colabdesign/af/chains_ptms.py similarity index 79% rename from colabdesign/af/interface_ptm.py rename to colabdesign/af/chains_ptms.py index 281fd452..a8289047 100644 --- a/colabdesign/af/interface_ptm.py +++ b/colabdesign/af/chains_ptms.py @@ -7,9 +7,9 @@ import jax import scipy - """ Functions to calculate interface metrics on actual interfaces""" + def get_chain_indices(chain_boundaries): """Returns a list of tuples indicating the start and end indices for each chain.""" chain_starts_ends = [] @@ -21,7 +21,7 @@ def get_chain_indices(chain_boundaries): def predicted_tm_score_modified(logits, breaks, residue_weights=None, - asym_id=None, use_jnp=False, pair_residue_weights=None): + asym_id=None, use_jnp=False, pair_residue_weights=None): """Computes predicted TM alignment or predicted interface TM alignment score. Args: @@ -62,30 +62,46 @@ def predicted_tm_score_modified(logits, breaks, residue_weights=None, # TM-Score term for every bin. tm_per_bin = 1. / (1 + _np.square(bin_centers) / _np.square(d0)) - + import seaborn as sns + import matplotlib.pyplot as plt # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) + sns.heatmap(predicted_tm_term) + plt.title('predicted_tm_term') + plt.show() + print(asym_id) if asym_id is None: pair_mask = _np.full((num_res, num_res), True) else: pair_mask = asym_id[:, None] != asym_id[None, :] - + sns.heatmap(pair_mask) + plt.title('pair_mask') + plt.show() predicted_tm_term *= pair_mask + sns.heatmap(predicted_tm_term) + plt.title('predicted_tm_term2') + plt.show() # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), # it should not be overwritten if pair_residue_weights is None: pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) + + sns.heatmap(normed_residue_mask) + plt.show() + sns.heatmap(pair_mask) + plt.show() per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) return (per_alignment * residue_weights).max() + def get_ptm_modified(inputs, outputs, interface=False): """ This function is the same as in the original AF2, just calls a modified TM-score calculation function.""" - pae = {"residue_weights":inputs["seq_mask"], **outputs["predicted_aligned_error"]} + pae = {"residue_weights": inputs["seq_mask"], **outputs["predicted_aligned_error"]} if interface: if "asym_id" not in pae: @@ -133,7 +149,7 @@ def get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j): **outputs["predicted_aligned_error"], "asym_id": inputs_ifptm["asym_id"]} ifptm_probs = round(float(predicted_tm_score_modified(**pae, use_jnp=True, - pair_residue_weights=cmap_copy)), 3) + pair_residue_weights=cmap_copy)), 3) return ifptm_probs @@ -193,7 +209,37 @@ def get_pairwise_iptm(af, start_i, end_i, start_j, end_j): input_pairwise_iptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), np.arange(start_j, end_j + 1)))] = 1 - return get_ptm_modified(input_pairwise_iptm, outputs, interface=True) + return round(float(get_ptm_modified(input_pairwise_iptm, outputs, interface=True)), 3) + + +def get_per_chain_ptm(af, cmap, start, end): + """ + Calculates the chain PTM score for a specified interface region, using contact probabilities. + + Args: + af: AlphaFold object + cmap: Contact map + start: Start index of the interface region + end: End index of the interface region + + Returns: + cpTM: Chain pTM score + """ + # Extract only the relevant subset of the contact map + cmap_subset = cmap[start:end + 1, start:end + 1] + + # Extract only the relevant subset of the logits map + pae_copy = deepcopy(af.aux['debug']['outputs'])["predicted_aligned_error"] + pae_copy['logits'] = pae_copy['logits'][start:end + 1, start:end + 1, :] + + # Prepare inputs for the modified predicted_tm_score function + pae_copy['residue_weights'] = np.zeros(end - start + 1, dtype=float) + del (pae_copy['asym_id']) + + # Calculate and return chain PTM score + cptm_probs = round(float(predicted_tm_score_modified(**pae_copy, use_jnp=True)), 3) + + return cptm_probs def get_pairwise_interface_metrics(af, calculate_interface=False): @@ -212,6 +258,7 @@ def get_pairwise_interface_metrics(af, calculate_interface=False): # Prepare a dictionary to collect results pairwise_ifptm = {} pairwise_iptm = {} + per_chain_ptm = {} chain_starts_ends = get_chain_indices(af._inputs['asym_id']) # Generate chain labels (A, B, C, ...) @@ -226,11 +273,14 @@ def get_pairwise_interface_metrics(af, calculate_interface=False): key = f"{chain_label_i}-{chain_label_j}" if calculate_interface: - pairwise_ifptm[key] = round(float(get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j)), 3) + pairwise_ifptm[key] = get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j) else: - pairwise_ifptm[key] = round(float(get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j)), 3) + pairwise_ifptm[key] = get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j) # Also add regular i_ptm (interchain), pairwise - pairwise_iptm[key] = round(float(get_pairwise_iptm(af, start_i, end_i, start_j, end_j)), 3) + pairwise_iptm[key] = get_pairwise_iptm(af, start_i, end_i, start_j, end_j) + + # Also calculate pTM score for single chain + per_chain_ptm[chain_label_i] = get_per_chain_ptm(af, cmap, start_i, end_i) - return pairwise_ifptm, pairwise_iptm + return pairwise_ifptm, pairwise_iptm, per_chain_ptm From ff0249b158129a9d7b795fa29730a65938ae055b Mon Sep 17 00:00:00 2001 From: jvarga Date: Mon, 28 Oct 2024 19:17:23 +0200 Subject: [PATCH 46/56] added chain ptm calculation --- colabdesign/af/chains_ptms.py | 17 ++--------------- 1 file changed, 2 insertions(+), 15 deletions(-) diff --git a/colabdesign/af/chains_ptms.py b/colabdesign/af/chains_ptms.py index a8289047..6b365be0 100644 --- a/colabdesign/af/chains_ptms.py +++ b/colabdesign/af/chains_ptms.py @@ -66,22 +66,13 @@ def predicted_tm_score_modified(logits, breaks, residue_weights=None, import matplotlib.pyplot as plt # E_distances tm(distance). predicted_tm_term = (probs * tm_per_bin).sum(-1) - sns.heatmap(predicted_tm_term) - plt.title('predicted_tm_term') - plt.show() - print(asym_id) if asym_id is None: pair_mask = _np.full((num_res, num_res), True) else: pair_mask = asym_id[:, None] != asym_id[None, :] - sns.heatmap(pair_mask) - plt.title('pair_mask') - plt.show() + predicted_tm_term *= pair_mask - sns.heatmap(predicted_tm_term) - plt.title('predicted_tm_term2') - plt.show() # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), # it should not be overwritten @@ -89,10 +80,6 @@ def predicted_tm_score_modified(logits, breaks, residue_weights=None, pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) - sns.heatmap(normed_residue_mask) - plt.show() - sns.heatmap(pair_mask) - plt.show() per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) return (per_alignment * residue_weights).max() @@ -233,7 +220,7 @@ def get_per_chain_ptm(af, cmap, start, end): pae_copy['logits'] = pae_copy['logits'][start:end + 1, start:end + 1, :] # Prepare inputs for the modified predicted_tm_score function - pae_copy['residue_weights'] = np.zeros(end - start + 1, dtype=float) + pae_copy['residue_weights'] = np.ones(end - start + 1, dtype=float) del (pae_copy['asym_id']) # Calculate and return chain PTM score From f695435c13a4369c0150b228297f8fa5b2f8ff2b Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 28 Oct 2024 23:31:13 +0200 Subject: [PATCH 47/56] finished new ptm plots --- af/examples/predict.ipynb | 4549 +------------------------------------ 1 file changed, 117 insertions(+), 4432 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 19303cca..898d4cad 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -4,7 +4,8 @@ "metadata": { "colab": { "provenance": [], - "gpuType": "T4", + "gpuType": "A100", + "machine_shape": "hm", "include_colab_link": true }, "kernelspec": { @@ -83,7 +84,7 @@ "from colabdesign.af.contrib.cyclic import add_cyclic_offset\n", "from colabdesign.shared.protein import _np_rmsd, _np_kabsch\n", "from colabdesign.shared.plot import plot_pseudo_3D, pymol_cmap\n", - "from colabdesign.af import interface_ptm\n", + "from colabdesign.af import chains_ptms\n", "\n", "\n", "import jax\n", @@ -182,26 +183,10 @@ ], "metadata": { "cellView": "form", - "id": "NsRHgcGPs4fL", - "outputId": "d5054e7d-eb5f-4f63-e1f1-6cd4e30ab902", - "colab": { - "base_uri": "https://localhost:8080/" - } + "id": "NsRHgcGPs4fL" }, - "execution_count": 1, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "installing ColabDesign\n", - "installing HHsuite\n", - "downloading AlphaFold params\n", - "CPU times: user 2.01 s, sys: 267 ms, total: 2.27 s\n", - "Wall time: 1min 57s\n" - ] - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -210,7 +195,7 @@ "sequence = \"PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK\" #@param {type:\"string\"}\n", "jobname = \"test\" #@param {type:\"string\"}\n", "\n", - "copies = 2 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", + "copies = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", "#@markdown ----\n", "#@markdown **MSA options**\n", "msa_method = \"mmseqs2\" #@param [\"mmseqs2\",\"single_sequence\", \"custom_fas\", \"custom_a3m\", \"custom_sto\"]\n", @@ -411,65 +396,16 @@ ], "metadata": { "id": "7pYi5tmHe34I", - "cellView": "form", - "outputId": "b947872e-4bc5-409f-bf15-8fc07804f344", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 648 - } + "cellView": "form" }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "jobname test_2ec92\n", - "length=[59] copies=2\n", - "getting unpaired MSA\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "COMPLETE: 100%|██████████| 150/150 [elapsed: 00:02 remaining: 00:00]\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "parsing msas\n", - "gathering info\n", - "filtering sequences\n", - "selecting final sequences\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "GC 6111\n" - ] - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", "source": [ "#@title pre_analysis (optional)\n", - "analysis = \"none\" # @param [\"none\", \"coevolution\"]\n", + "analysis = \"coevolution\" # @param [\"none\", \"coevolution\"]\n", "dpi = 100 # @param [\"100\", \"200\", \"300\"] {type:\"raw\"}\n", "if analysis == \"coevolution\":\n", " coevol = get_coevolution(msa)\n", @@ -483,7 +419,7 @@ "cellView": "form", "id": "RQJEQQWOk-aL" }, - "execution_count": 3, + "execution_count": null, "outputs": [] }, { @@ -501,10 +437,10 @@ "num_extra_msa = 1024 #@param [\"1\",\"2\",\"4\",\"8\",\"16\",\"32\", \"64\", \"128\", \"256\", \"512\", \"1024\",\"2048\",\"4096\"] {type:\"raw\"}\n", "use_cluster_profile = True #@param {type:\"boolean\"}\n", "\n", - "#@markdown Complex option\n", - "interface_metrics = True #@param {type:\"boolean\"}\n", + "#@markdown Extended metrics\n", + "extended_metrics = True #@param {type:\"boolean\"}\n", "\n", - "if interface_metrics:\n", + "if extended_metrics:\n", " debug=True\n", "\n", "if model_type == \"monomer (ptm)\":\n", @@ -600,22 +536,10 @@ ], "metadata": { "id": "0AefVJipkQe3", - "cellView": "form", - "outputId": "bad2c40b-4c65-4043-d7a9-b455bdd8a860", - "colab": { - "base_uri": "https://localhost:8080/" - } + "cellView": "form" }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "loading alphafold params\n" - ] - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -702,9 +626,9 @@ " tag = f\"{model}_r{recycle}_seed{seed}\"\n", " if select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", - " if interface_metrics:\n", - " ifptm_pairwise, iptm_pairwise = interface_ptm.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, ifptm_pairwise])\n", + " if extended_metrics:\n", + " ifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, ifptm_pairwise, per_chain_ptm])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -715,9 +639,9 @@ "\n", " if not select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", - " if interface_metrics:\n", - " ifptm_pairwise, iptm_pairwise = interface_ptm.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, ifptm_pairwise])\n", + " if extended_metrics:\n", + " ifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, ifptm_pairwise, per_chain_ptm])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -741,14 +665,16 @@ " tag=np.array(info[rank[0]][0]),\n", " metrics=np.array(info[rank[0]][1]),\n", " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", - " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]))\n", + " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", + " cptm=np.array(info[rank[0]][5]) if len(info[rank[0]]) > 5 else np.array([]))\n", "np.savez_compressed(f\"{pdb_path}/all.npz\",\n", " plddt=np.array(af._tmp[\"traj\"][\"plddt\"], dtype=np.float16),\n", " pae=np.array(af._tmp[\"traj\"][\"pae\"], dtype=np.float16),\n", " tag=np.array([x[0] for x in info]),\n", " metrics=np.array([x[1] for x in info]),\n", " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", - " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]))\n", + " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", + " cptm=np.array(info[rank[0]][5]) if len(info[rank[0]]) > 5 else np.array([]))\n", "plot_3D(aux_best, Ls * copies, f\"{pdb_path}/best.pdf\", show=False)\n", "predict.plot_confidence(aux_best[\"plddt\"]*100, aux_best[\"pae\"], Ls * copies)\n", "plt.savefig(f\"{pdb_path}/best.png\", dpi=200, bbox_inches='tight')\n", @@ -759,119 +685,10 @@ ], "metadata": { "id": "xYXcKFPQyTQU", - "outputId": "604e3d70-1716-4745-ecd2-6c1759ee2a86", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - } + "cellView": "form" }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "running prediction\n", - "seed=0 model=model_1_multimer_v3 recycle=0 plddt=0.906 ptm=0.832 i_ptm=0.814 multi=0.818\n", - "seed=0 model=model_1_multimer_v3 recycle=1 plddt=0.926 ptm=0.859 i_ptm=0.850 multi=0.852 rmsd_tol=0.556\n", - "seed=0 model=model_1_multimer_v3 recycle=2 plddt=0.933 ptm=0.865 i_ptm=0.859 multi=0.860 rmsd_tol=0.195\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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\n" 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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "seed=0 model=model_4_multimer_v3 recycle=0 plddt=0.923 ptm=0.845 i_ptm=0.839 multi=0.840\n", - "seed=0 model=model_4_multimer_v3 recycle=1 plddt=0.934 ptm=0.865 i_ptm=0.862 multi=0.863 rmsd_tol=0.399\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "seed=0 model=model_5_multimer_v3 recycle=0 plddt=0.922 ptm=0.855 i_ptm=0.848 multi=0.850\n", - "seed=0 model=model_5_multimer_v3 recycle=1 plddt=0.933 ptm=0.872 i_ptm=0.867 multi=0.868 rmsd_tol=0.457\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" 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BpaWl6Mz3vHnz4OvrK/y9du1a4YqNzv1nx9PT00VlAn8fm3TjgNjYWNjY2ODPP/8UldOuXTt8+umn9a5LfW9L8/T0xLJly/TSY2Ji4ODgADMzMxAR/Pz8RFe6HmV/31iGGk/aOKMhbURX95MnTwrLMzMzRW0TqLpyEx4eLvxdWloKIqr1dtua2phOeXk59u7di9GjRwvPd65evVp05dTPzw8BAQG4evUqtFotvv76a0ilUnTo0AFA1W3URIT8/HxR2WPGjEFISIgo7a233kJgYGCN9WmIJnXlpk+fPiSRSIS//fz8KDMzs8EzFQEQlVNbPiKqV14XFxe6cOEC9e7du0F1aew6depEffv2pS+++IKIiC5evEixsbHC2c+UlBT68ssvydraWngFBQVRZWUlZWVlCeVUP/tgYWFB48ePF8o9ffo0nT17liZNmlSvehUXF1N+fj7169dPlN6vXz9KS0sjIqKuXbtSixYtSK1WU2xsLHl7e9OIESNIrVYTUd1n7svKykihUOi1j/DwcAoPD6du3bpRbm4u7dixg4YOHUpSqeGv66JFi6hfv37k7e1NCxYsoPnz59Pq1avr9T7vpzvrfffu3Qava2rS0tLIz89PtG/69etHpaWlwowuuit3ACg2NpZeeOEF8vDwoLi4OFKr1eTs7Ezu7u41bqOsrEzvjFdlZSVJJBL65ptvqHfv3jRs2DD66KOP6KuvvhJdvakPpVJJlZWVJn9mVkfX39aHv78/WVtb06JFi0ir1daZ39C+qr48MjJSdNWmoZRKZZP57tV3X6WlpVHr1q1FVzc6d+5MzZs3F/phoqpZzZo1ayb87eTkZPDMdm3bMTc3px49eghpnTp1Eq4gEVUdi0pLS+mpp54SHY+ysrLo0qVLRquLjqE2V1BQQFOnTqWJEyfSyZMnSa1Wk1wup9GjRzeo/RM1rf7+SRtnNKSNpKenk7m5Ofn4+Ahp7du3Jzs7O7283bt3F/5vZWVFNjY2tba9uvo1c3Nzev755+mHH36grKwscnR0pHnz5tEHH3wg5Pn6668JALm4uJBCoaCPP/6YXn755RrHK7UxZh/YpIIbYygsLKQ//viD2rRpU2deXedbn7xNWWhoKP34449UUlJC27Zto3bt2lFAQAAREZWWltK0adMoOTlZeKWkpFBmZia1a9dOKMPQrQ2vvvoqHT58mPLy8mjbtm00aNAgUqlURqu3RCKhAQMGUExMjBDIdO/ene7du0dnz56l48ePC+/DEHt7e7p79y799ddfovTw8HB6++23KTExkTp06EAzZsxo0O0qvr6+lJeXJwxqHR0d6dq1a6I8165dIxsbG9FtPLrL1y1btqz3tpqywMBAiouLo5SUFJLJZNSpUycKDAwU2kNt+56oav/fvHlTlObk5EQuLi6i2w49PDwIgBBU1bQ/HR0dRWlFRUVkZWWld6uWqWnfvj1JJBLRYPd+aWlpZGdnJ2rX3bp1o+joaDp69CiNHTu2zgDH0L66365du+ju3bs0YcIEUXpN+0q37H5FRUVN5rvn7u5OEomELly4YJTydLdk6UgkEqqsrDRK2TqlpaXk5OQkOhYlJydTeno6zZs3z+h1MdTmNm7cSLa2trRq1Sry9vamAQMG0I4dOyg6Olo4RnB/b9iTNM74p9prQ8utq18DQMeOHaOpU6eSh4cHXbx4kRYvXkyzZ88W8rRr147UajWVlpZSbm4unThxgsrLy6lt27ZE9Hc/V99jlrHaY5MKbqoPEH///Xdyd3cnMzOzepexfv16kkqlNGrUqFrzVVZW0scff0xt2rQhb2/vB6lukxESEkJSqZQiIyNp+/btNGXKFOGMuY+PD50/f57at2+v95LL5bWW261bN+rZsydt2bKFIiMjacqUKfWuk42NDTk7O1N8fLwoPT4+njp37iz8rTt7HxMTQ4GBgSSVSmnAgAG0evVqunfvnt6Vn/vp5ro/f/68KL19+/b0wQcfUE5ODkVGRtLNmzdp4MCB1KFDB1q+fLnoTJIhycnJZGdnRwqFgoiqrlBGR0eL8hw+fJj8/PxEaWfPniVXV1eyt7evtfymwMPDgxISEkRnQ+Pj46lZs2bk6upKRH8/d7N27VrhIKkLbnTtoTbe3t56+75fv36Un59PpaWlQlpGRgZJpVJhuw3Zn02h73nqqafomWeeoU2bNuld3SooKKBvvvmGxo4dq3eF1MvLi6Kjo+nYsWMUEhJC5eXlNW7D29ubCgoKahwIbN26lYKDg/UOzH5+fnTmzBnR2dPDhw+TjY2NqB+5dOkS/fnnn01ifxERtWjRgoKCgmjjxo10584dveW3bt0ioqrvYW5uLuXm5grLzp8/T7du3RJ9fg+rU6dOpNVqRc8VpKenC/UgqjoWFRQUkLm5ud6xqCF9plwur9fdIob6h7t37+qdEdeNX3SDWO7vDXsSxxn10bFjR9JqtcLznURVV55qC0rqy1AbI6o65ixatIjatm1Lw4cPJ61WS1FRUXT58mWKiIggNzc3vXWsrKzIycmJbt68SQcPHqSRI0cSUdXJfUdHR1GbLC4upsTExH/2mGWUm9sagYCAAFhbW+Ott97ChQsXEBkZCSsrK3zyyScAap8KOicnRzQV9MqVK4V8hqaC3rNnjzAV9G+//aZXF37mRl9oaCjs7OxgZmaGq1evCukpKSlQKpUICwtDUlISMjIyEBUVJZqhpLbnoz777DPI5XLY2dnpTblbXfVnbtauXQsbGxt89913uHDhAhYsWACZTCZ6jiI5ORkSiQQKhUKY/nXt2rUwMzNDnz596nzfPj4+2LBhQ535bt++jS1btsDf3x9SqRS3b98GUDVTzpYtW3DmzBlkZmZi06ZNsLS0xOLFi4V1dVODzps3D2lpadi4caPBqUEnTpxohHnmG8td/1XvNzAwEElJSaJXTk4O8vLyYGlpibCwMKSlpSEqKgr29vZYsmSJqAwvLy+YmZkJM+4UFhZCJpOBiIQZFWvy8ccfo0ePHqK0kpISuLq6YvTo0Th37hzUajXc3d3x6quvCnni4+Nhbm6ONWvWIC0tDUuWLNGbChqo6vNqu5+6PhrDMzcAkJGRAXt7e/Tv3x9qtRo5OTnYv38/unbtWudU0KmpqWjZsiVGjRpV48xAWq0WLVu2xM8//6y3LDMzExKJxOC97bqpoIcOHYrk5GQcOHAALVu21JsKetu2bXU+01MfjefbVzV9t6OjozAVdEZGBs6fP4/169ejU6dOAKpmWvLy8kL//v1x6tQpJCYmokePHqLfhTM0tW71Z2zqeuYGqJpxz9vbG7///jv++9//wt/fH0qlUji2VFZWwt/fH56enjh48CCysrIQHx+PhQsXCs9D1KcuU6dORa9evZCVlYU//vijxmfi9u7dCwcHB9Fsq9HR0ZBIJIiIiEBGRgZOnTqFoKAgqFQq4XmaR9nfN7ahxpM4zgD020j1tjlkyBD4+PggMTERp0+fFsaX69atE/KQgecObW1t9X7j6H6G2lh2djakUikGDRqEr776yuBshvc7cOAA9u/fj8uXL+PQoUPw9PSEr6+vqC9duXIlmjdvjj179iA1NRUjR47Umwr6zp07UCqVRvm9L+Dh+6dGIyAgANOnT8frr78OGxsb2NnZYeHChbVOBU1UNVWjXC6Hm5sbQkJC9IKV6j/kZmlpCQ8PD0yfPh2ZmZkG62IouNGl3f/AW1Ny/PhxEBGGDRumt+zEiRN45plnYG1tDSsrK3Tv3l30oH9tnU5JSQksLS2FSQBqY2gq6KVLl8LFxQUymUxvKmhdHjs7O9HDgLppgd9+++06t7lp06Z6BUH3u3jxotBx7N+/H15eXsJn4+npiU8++UTvgHn06FF4eXlBLpejbdu2eh1eWVkZbG1tkZCQ0KC6NGaGpmUlIoSGhgKofSponerTfwNVD2k6OjrWuf3CwkJYWFjoBUFpaWkYMmQIlEolXF1dMXv2bL0pgr///nt06NABcrkcXbp00fsRz7y8PMhkMoO/7WCqrly5gokTJ6JVq1aQyWRo3bo13nzzzXr9iOeZM2fg4OCAkSNH1vj7FfPnz8dLL72kl/7OO++gdevWNQ5Sr1y5gueeew5KpRL29vaYM2eOXjsaOnSo6Dd0mor8/HyEhYVBpVJBLpfDxcUFwcHBouNgfaeCvt+DBDcajQbDhw+HQqGAm5ubMFXv/ceW4uJivPnmm3B2dhba2Lhx44QJD+pTl/T0dPTp0wdKpRJENU8FXV5eDmdnZ72g5Ntvv4W3tzesrKzQsmVLBAcH602Mwf29YU/iOAOoO7jJz8/Hc889B4VCAZVKhcjISDg4OAgn54EHC24MtbE7d+4gOzu7zvehs3PnTrRt21Y4ToaFhen9OKzuRzxbtWoFhUKBwYMHIz09XZQnMjLSqL9vJQHuu+/ChAUGBpKXlxetW7fucVeFPUJXrlyhdu3a0cmTJ0UP5D0pysrKqGPHjrRz5069S7SP0ubNm2n37t106NChx1aHpmjevHlUXFxMn376qVHLXbBgAd28eZM+++wzo5bblBUUFFCXLl3o9OnTRn1279y5czRo0CDKyMjQm+KdNW0bN26kvXv30sGDB41aLvf3xvWoxxl5eXnUunVrOnLkCA0ePPihyvqn2lhD9enTh2bOnEn//ve/jVKeuVFKYewJU15eToWFhRQeHk59+vR5IgMboqrZQbZv3043btx4rPWQyWS0YcOGx1qHpujdd9+lTZs2UWVl5QPNLlMTBwcH0UOf7OE5OjrS1q1bKScnx6jBjUajoe3bt3Ngw/RMmzaNbt26RSUlJaLZtR4W9/fG8ajGGb/99huVlpZSt27dSKPR0Pz58+npp5+mAQMGPHTZ/1Qba4gbN27QCy+8QC+//LLRyuQrN8wkxcTECA/h79q1i7p16/a4q8QYY4wxE/GoxhkHDx6kOXPm0OXLl6lZs2bUt29fWrdunVFPspiaJhPcMMYYY4wxxkxbk5oKmjHGGGO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yydayZcusfv36OS7FSixYsMA6/fTTrZycHCsrK8saOnRowhKjzc3N1vXXX2/16tXL8vl8LZYqTaWNJmBYdps+oVDIKioqsk4//XTrgQcesKqqqlqUQcuP0ic9Pd3q06ePdc4551j/+Mc/rPr6ekcbZNltQRBU5G99av7WP//88xYAa8aMGcY88+bNswBYDzzwQKxP3ZbdtizLmjt3rnXEEUdYoVDI6t+/v/X4449bN910k5Went7i2vHjx7eoV2d7eXm5NX78eKukpMQKBoNWUVGRddppp1mPPvpoQr5169ZZ5513npWZmWn17NnT+vWvfx1brrwty24DsGbOnGlZVnzZ7T//+c8tynDabqKpqcm6++67rdLSUisYDFolJSXWpEmTWvxf2K9fP+vss892tFVIDT7LYrFVQRAEQRAEQWgnxowZg6+++gorV67sbFMEIYbMIRIEQRAEQRBSTl1dXcLxypUr8cYbb+Dkk0/uHIMEwYBEiARBEARBEISUU1xcjMsvvxwHHHAA1q1bh+nTp6OhoQFLlixpsWeSIHQmsqiCIAiCIAiCkHLOPPNMPPvssygrK0M4HMaIESPwhz/8QcSQ0OXo1CFz77//Ps4991z07t0bPp8PL730UsJ5y7Jwxx13oLi4GBkZGRg5cmSLMac7duzAxRdfjNzcXOTn5+PKK6+M7XovCIIgCIIgdA4zZ87Ed999h/r6elRWVmLOnDk48sgjO9ssYQ9i+vTpGDp0KHJzc5Gbm4sRI0YkLN1eX1+P8ePHo0ePHsjOzsbYsWNRXl6edD2dKohqampw2GGH4eGHH9aev/fee/Hggw/ikUcewaJFi5CVlYVRo0ahvr4+lufiiy/GV199hbfffhuvvfYa3n//fVxzzTUd1QRBEARBEARBENqBPn364I9//CMWL16MTz/9FKeeeirOP/98fPXVVwCAG2+8Ea+++iqee+45zJ8/H5s3b8YFF1yQdD1dZg6Rz+fDiy++iDFjxgCwo0O9e/fGTTfdhJtvvhkAUFlZicLCQsyaNQvjxo3D119/jYMOOgiffPIJjjrqKADAnDlzcNZZZ2Hjxo3o3bt3ZzVHEARBEARBEIQU0717d/z5z3+O7cE1e/ZsXHjhhQCAb775BkOGDMHChQtx7LHHei6zy84hWrt2LcrKyjBy5MhYWl5eHoYPH46FCxdi3LhxWLhwIfLz82NiCLB3a/b7/Vi0aBF++MMfastuaGhAQ0ND7DgajWLHjh3o0aMHfD5f+zVKEARBSMCyLOzatQu9e/eG3y8Ln+6NRKNRbN68GTk5OfJ/rCB0IVL597e+vh6NjY2e61X/FoTDYYTDYcfrIpEInnvuOdTU1GDEiBFYvHgxmpqaErTC4MGD0bdv371HEJWVlQEACgsLE9ILCwtj58rKylrsmJyWlobu3bvH8uiYOnUq7r777hRbLAiCILSWDRs2oE+fPp1thtAObN68GSUlJZ1thiAIBtr697e+vh6lGRkwe96JZGdnt5jvf+edd+Kuu+7S5v/yyy8xYsQI1NfXIzs7Gy+++CIOOuggLF26FKFQCPn5+Qn5uVbwSpcVRO3JpEmTMHHixNhxZWUl+vbtiw0bNiA3NzcldViWhdrGCBqao2hqjqKmqRk19c1oikRx8H55CKcFUlJPa9lV34SvNlVhw85a1DY2o74piqaIBcuyELUshAIBpId8CAb8qGuKoK4hivrmCCJRC02RKKKWhWgUsGAhPRhAZigNGcEAIlELkaiFcNCP4rx09M7PwMCCHORlBju1vQDQ2BzFx9/tgA9ATnoa0oN+RKJ2O/p0y+wSNraGmpqa2PDQzZs3IysrK+F8cySKuqYI6psi9r1sjKBXdhjds53fxLQ30aiFdTtqsLK8GjvrGlHXEEFdYxTN0SgiUQs+H5ARCiAzZP9bqWuKoKExioZIFA1NETRGomiOWIhYFgI+H7LCacgOp8Hv89nPp2WhW1YIBTlhFOWlY0hxbqf/uwOA8sp6rNtei/SQH+lBP3zwwYKFcFoAfbtn7nNv0KuqqlBSUoKcnJzONkVoJ+jeZmZugM+XC78fCAYBv9/+pKUBoRAQCNi/+SccBqJR+wPY+emb0pqbAcuyy0xLi+dvarLPUT2BgP1dVwc0NtrnolH7GrIDAOrr7fRIxD7mtjY329cTfr9tI9lD9VJ9kYh9Dbc9Go2Xx+3gttAx5UtPt8sj0tPt9FAI8Pni11E6EK+fCATsttA33Qfqd6K52e4Dqtvns/NlZADp6TW4/377/5vDD98Mny8L9fVAQ4NtL28LbwOQ2M/UP9Qv9KG2+Xx226JRoKYm8f5TfwN2X9fWxvsiGIxf19QUt4nOpafb9dfX2/eR/txymwKB+H0JhxP7JxiM26H+qbaseJsbGuJ9H4kAu3Yl9gk9B5FIYhrZEgwmHodCtj30LKnPrd9v3x+y0++3289tovZlZtrl5+UBllWF2bPb/ve3sbERZQA2+Hxw86KrAJRUV7fwuZ2iQ4MGDcLSpUtRWVmJ//znP7jsssswf/78Ntms0mUFUVFREQCgvLwcxcXFsfTy8nIcfvjhsTxbtmxJuK65uRk7duyIXa/DFJajFSzaSiRq4eezPsH7327Vnj+wMBsPXXQkDizsOAegtrEZH63Zjve/3Yb/rd6GlVuq0ZGzxwYX5eCY0u44Z2hvHL1/t5jTV9do/8XICLWvo1rfFMHPH1+Exet2as+HAn6ceUgRxh1TghEH7FlDJwPsf8nc3NyYIPp47Q5c/eSnqKxranFNKODHb88chCuOL4Xf3zFtbYpEsWR9BRau3o6P1mzHFxsrUNMYcb8wRYTT/Diibz5OOrAAFw7rg1459t8Ay7KwrboxdtyevPtNOa59ajGaIvp/fAMKsjH2yD4Ye+R+KMhNb3d7uhJ70r85ITno3vp8ufD5cmFZiSKhsdH+cMeYiyXKRx/uPBLc8eZCiafzvOQoq2Xz6+haso2gUUH8GrVsLmq4A6zayuviZRNUBzn9lEaii9JCocR2hEL6tpDzTPnJ8ab/RiIRxO4PLys93XakMzLi/99s25aLaDRL2071HlF/8G+1/+i4oSHxXqttqKlJLJP3GbWP3w/eFvUZ4kKU22ASc1yYqce8H+jZojq4jerzQNer5dBxJJIonOicZdl2+Xz27/r6RGHL/x0A8Xvu8yUKdiB1f39z09KQ61aWZQFNTUn53KFQCAMGDAAADBs2DJ988gkeeOAB/OQnP0FjYyMqKioSokTl5eWOOkBHlxVEpaWlKCoqwty5c2MCqKqqCosWLcIvf/lLAMCIESNQUVGBxYsXY9iwYQCAd999F9FoFMOHD+8s0zHrf98liKGA34fMUAA54TTsamjGt+XVOO+hBZh83iH40VF9UuoIrNtegxVluzCwMAf9umdizbZqzFjwHV5cshH1TYl/ofbLz8Cgohxkh9OQGQoglOaHf7ctjZEo6hvtt/AZQfstfXowgGDAj7SAD2l+X8zu+qYIqhuaUd8UQcDvQ5rfj5qGZmyqqMOGnbXYsKMO35Ttwjdlu/DkwnUYWJCNEw/shc83VGDphgrkZQQx4/KjcXhJfsr6gdMcieK62UuweN1OZIfT0KdbBnbVx+2NWsC26ga88vlmvPL5Zlw6oh8mn39Iu9jSUVQ3NGPiv5cmiCGfD8gI2ve5orYJU17/GvO/3Yr/+9FhKEyh893YHMWCVVuRGUrDYX3y4fcDz326EdPnrcamisRdy8NpfgwuykFBbjqyw2nICAUQ9PsQ8PsRtSzUNjajpjECH2zb04MBpAf9SA8GEAr4Edj9LDZHLVTXN6O6oRmRqIU0vw8WgO01jdhSVY81W2uwvaYRH63ZgY/W7MB9b6/AqIPtP5YfrdmObdWNGHtkH/xx7KEIBtpnHsuiNdvxy6c/Q1PEQu+8dPj9PtQ3kSD0oaq+Cau2VONPc77B395bhRd+dRwGduBLE0HoSFSHWee0cucZiDv0qsOoE0hUppMg4tepIoXn0zmZ/LfpW40I6fLo+sTUHi4oePn8WxUZqphQ+5NQHW4uWihvKGQLMYKcfF1fmmw3tUW9VhUmuoiTKh5090t9Bnib1GvVczr7dfeWH6sCl/JwgaSWr4pFtT61ndx2kxA1pelEVUrRhc5UUlBpNBpFQ0MDhg0bhmAwiLlz52Ls2LEAgBUrVmD9+vUYMWJEUmV2qiCqrq7GqlWrYsdr167F0qVL0b17d/Tt2xcTJkzAlClTMHDgQJSWluL2229H7969YyvRDRkyBGeeeSauvvpqPPLII2hqasJ1112HcePGddoKc99tq8Gf3/oGAHDPmENw0TF9EWBv4LfuasDEfy/FByu34bfPf4FvynbhtrOHtOktvWVZWLxuJx77YA3+u7w89qxlh9NQ3RD/V7hffgZOGtQLJw7siWH9unfIG3HAbvOn3+3Aeyu24NXPv8fKLdVYuSU+dnR7TSMueuwjPHLJMJx4YK+U1l3fFMHdr36Fd74uRyjNj5k/PxpH79+9Rb4vN1Zi9sfr8c9P1uPJhetw/ICeMYd5T+T3r3+NjTvr0KdbBp7/5XHIywginOaHz+eDZVmY/fF63PPacnywchvOe2gBnrpyeJsjlnWNEfzrk/V49P012FxpL40f8PuQHU6LCbNumUEcN6AnRhzQA0ft3w0DemUjrZ0ECMeyLKzeWo2Fa3bghc82Ysn6Crz2xfcJeZ7/bCO21zTgbxcficxQav80Llm/E1c98SkamqM4bXABHvnZsBbCa1d9E9748nv8Y8F3WFG+C7/+51K8OP64LjHMTxBSgd/f0hfSiRL1Q9eqDrIqdNRyTfl0EQxui5NTqdoMtHR2KY8aJXD77dQOnYjhx2rf6cSVSUjRb5Mg4vn4/bOs+JAsXr6bYFPrdhKAvA90YkEnNtR+52Kbp+vEkEkQ8T4yHfPruKh2aqMO3fOq3ldTO/h5VdjT9RRdpCF1KaUdBNGkSZMwevRo9O3bF7t27cLs2bMxb948vPXWW8jLy8OVV16JiRMnonv37sjNzcX111+PESNGJLWgAtDJy27PmzcPp5xySov0yy67DLNmzYJlWbjzzjvx6KOPoqKiAieccAL+9re/4cADD4zl3bFjB6677jq8+uqr8Pv9GDt2LB588EFkZ2d7tqOqqgp5eXmorKxs05C5aNTCuMc+wsdrd+C4/j3wzFXDtdGfaNTC3+atwv/991sAwA+P2A/3Xjg06TfTH6/dgde/2Iy532zBxp3xN+8DC7KxbkctGpuj8PmA04cU4soTSnFMafdOH5ZSVd+El5Zswjdlu3BYnzwc0bdbzDEPBnyYfP4h+MlRJY4CcWdNI25/eRlGHVyEcw/TC9+3l5fjP4s34IOV21DbGIHfB/zt4mE48xBnkTP1ja/x9/fXoFtmEG9NOHGPGLZUU1MTe96rq6uxeFMtLv3HxwCAZ68+FiP699Bet2pLNX759GKs3FKN/MwgZv38mKSjdJsq6jB70Tp88t1OfL6hAg3N9l/jntlhBPxAeZW9mmNhbhi/PKk/xh3TF+nBznfwl22qxMtLNyEzlIbjB/RERW0jbvjnEtQ3RXFYST7u+/Fh6N/L+W/Io++vxgcrt+HBcUegW1aoxflo1MJbX5XhqY/W4X+rtwMAjintjievOMaxD7ZU1ePMBz7AjppGXHviAZh01pC2NbaLk6q/v0LXhe5xXl4lLCvX6Gyq3xQR0p1vrSDy++Nv8XV1O0UNeNn8OrJRLVP3Zl+1XffWXi1LLVP3m4Z0OQ0N4+k0fIqG1umGfFG5NFwuKwvIzKzBM8/Yfxt79KiGz5flSRCZPmp+3T1VRYZO2JjKUAWR7r54EUS6uV06nKI2JnT3lUe51GGA6lBPdRikmo/qp3w5OfY9zc+35xD9859t//sb+zueleU6ZK7KspBXU+O5ziuvvBJz587F999/j7y8PAwdOhS/+93vcPrppwOwF3S46aab8Oyzz6KhoQGjRo3C3/72t6SHzHWZfYg6k1T9h/z0R+tw20vLkBkK4K0JJ6Kke6Zj/hc+24jf/OcLRKIWRg4pwKM/O8pzpOhfn6zH757/MnYcTvPj/MN74+ofHICBhTloikSxems18jKCKM7LaHWbOoKG5ghu+vfnsTf2h5fk467zDjY653e98hVm/e875GUE8dGk01rMPyqvqsexU+fGXkIU5oZxy+jB+OER7iuoNDRH8MOH/4fl31fhpAN7YdbPj+50EekGF0Rl2ysw5u+f4vvKelx+3P6467yDHa+tqG3E5TM/wdINFcgMBfDUlcdgWL+WETQdO2oacfaDH+D7yvhGySXdM3Dtif1x4bA+CKf58X1lPTbsqMVhJfldQgg58dn6nbhi1ieoqG1Cmt+Hy47bHzecOlC72MbabTUYed98RKIWJowciAkjD2yR5/63v8UDc1cCAPw+YNTBRfjThUORm+6+eMdbX5Xh2qcWw+cDnrlqOI7r37PtDeyiiCDa+6F73K1bXBCZnETVcTXNITKJFVOkg84BzoKIznPSlIAxOdh0jU4Q0XUmQWSyVXWmVRt5X/DfqiAim9S2kNNMi1aQIFIdeFUQpacD2dlARkYNnn02LogsK8soEtR+5Taq7VDbqPYPt00neHR9w8+b6lTFBa9XtSVZQeR2L03iVhVEujapeelectt1gigtDcjNtfPm5LSDIMrJ8SaIdu3qcn/zkwtJCEaqG5px/9t2xOc3owa5iiEAuODIPnjs0mEIp/nxztdbsGDVNk91ffLdDtz20jIAwNlDi/H4pUdhyR2n494LD4vNOQgG/BhclNvlxRAAhNMCeHDcEbhl9GBkhQJYuqECYx7+ELMXrW+R145I2OmVdU14aemmFnk+W7cTlgX065GJ164/AR9NOs2TGCJbHhh3OMJpfsz/disemb+mbY3rYGYuWIvvK+vRt3smfnvmINf8+ZkhPHPVcJwwoCdqGyO4d84KT/VEoxZu/NdSfF9Zj/17ZOJPYw/F3JtOwvu/OQWXHNsP6cEAfD4feudnYPgBPbq8GAKAI/t2w8vjj8dpgwvQHLUwY8FanPXgB9hZ03Jfhfvf/haRqK24n1m0Ho3NLb27eSvsBV9+NKwP3v/tKZh+yTBPYgiwxdO4o0tgWcCN/1qKLbvq3S8ShL0Ek0gwvX33ksbPqfXojk2CLZmhT8nk5agOs842p99OUQpTftP1ah/xV+heoh+8TSbBZCLZe6O2gefViVKnfjClJ9O3qcStr5KpMxpNXH0wpTiFA9UwXBeja1q1B/L4B2uwvaYRB/TMws+O7ef5ulMHF+InR9v7M/z70w2u+TdV1OEXu1epOvvQYjz00yMw8qDClM956Gj8fh9+cVJ/vHvzyTj/cHsY3OTXvsLabTUJ+R58Z2VsoQcAmPXhd1CDnEs3VgAAjuvfE4fsl5d0hGdgYQ7uOPcgAMC9b32DuV+Xt6ZJncKs/30HALhl9GDPz0RWOA1//tFQ+HzAorU7sH57res1f5u3CvO/3Ypwmh+P/GwYfnJ0X/Tvld3lo2lu9OuRhRmXH40nrzgG++VnYFNFHSa/tjwhz9ffV+GVzzcDAHLT07B1VwPeXJY4H6m+KYKvNlcBAG44bSD6dHN/QaJy+zkHYUBBNsqrGvDLpz/Tii5B2JOg1a2c/CLucDY3x5c/Vn+7feh6/puXq9bjJAbU82Qnt1eXh5/nx6Zzur5w6x9dP9GxU3/RObfr6DctusAdaV17AWf/1+u9NwkyU91e7pvTs6Ke1/WL6dnSle1mv070mkgmGqWbz6bmp5UE2wURRPs226ob8Nj7awAAN50xKOlJ4j8+yhZE/11ejopa8y6/jc1RXPPkp9he04iDinN3O7F7tgOqUpibjvt/fDiO698D9U1R/Oa5z2Nv4tduq8F/PtsIAPjbJUciIxjAivJd+GjNjoQylq6vAAAc0YZV6y4e3g8XD+8LywJ+/c+l+LZ8V6vL6khqGyM4vCQfo13mSqkU52XghAH2sKznd/exiY/WbMd9u6Oh94w5BIOLcltnbBfmxAN74a8XHQG/D3hxyaYEUfyX3XP/zh5ajCtPOABAXIgSX26qRHPUQs/sMPp0a12UNiuchkd/Ngw56WlYvG4n7nr1q9Y1RhC6CKZhSzrcogOpfAOvs8U0lMttWJjut5frvdTF0fWDU5r6W3fshUCSwX43xz9VvrGpHq/l60Rdstd4walcp+ewNRG2TkH31kP9dFG/tSt25x7HQ++uQk1jBIful4ezDk1+ZbKDe+dicFEOGpujsTfP+npW4qvNVeiWGcRjlx21x0eFTPj9Pvxp7FBkhQL4dN1O/P391fj0ux2465WvEIlaOHVwAU4ZVICxw/YDAMz639rYtZGohS83VQIADmvjMt53nXcwhpd2R3VDM65+8tPYnkldnVvPGtIqoXzhMHtY4fOfbUQ0qn99VFXfhIn/WoqoBYw9sk9MzO+NHNm3G676gS14bn3xSyxetxN/n78a73xdDr8PuHHkgbhoeF8EAz4sWV+BzzdUxK79bPd+V0f2zW/TS4sDemXjwZ8eAZ8PmL1ovacosiB0VdQXxG4vjJMZkmWqz+m3lxfZpsUK3F5+u5VJH691mfpH7Se3/tL1qSmyxfuKIgr8z5lTXV77QneN1/br+pyf080/83qtKa0tuLWXp5ns1pWZzIsGIL6BMW1UnFKS+UfSxeiaVu1BbNhRi2cWrQMA/O7Mwa1yfnw+X8yxfO5T++38W1+V4dy/LsDjH6xBNGph2aZKPDxvNQBgyphDsV9+158b1BZKumfitnN2D1ubswIXPrIQ83fv7TTxdHsC+2Uj9gdgryi3cac9zGvlll2obYwgKxTAgALvKw3qCAb8mH7JMBTnpWPd9to9whk9dUgBjint3qprzzioCDnhNGzcWYePv9uBusYIJr3wBX71zGJs3r1/0F2vfIXNlfXo1yMTk893XrBhb2Di6QfigJ5ZKK9qwNjp/8PUN+0l9cce2QcDCrLRKyeMc4baQzyfYFGiz9bvFkT9urXZhlMGFeCm3c/8/721gu1dJAh7Hqqz6fVNvNv8DdM1rbFNZ6uTM61LdxIEunqTcYJNOEWDdLg52hw318atr9QynfpKV7apTJ29TkKmtb6407A3L2W72e+Wpy3PldPzmnK42nf6dEFEELWRpxetQ1PEwgkDeuKEga1fCWrMEfshGPDhy02VuP2lZfjF04vx5aZKTHn9a1z5xCe4effQsbMOLcLZQ4tT2IKuy7ijSzBySCEAoCAnjJFDCjD94iNxyH55AOy5PicM6ImoBTz90XoAiL2lP7RPXsL+T62le1YI40+xd0d+9P01aIp07XkcVxy/f6uvzQgFcM5h9rM188O1uGTGIjz78Qa88WUZRj/wAaa8thwvfLYJfh/wlx8dhqxw1/yjlkrSgwH8+UeHIT3oR1YogB8M7InfjBqEe8bEN+69/Lj9AQCvffE9tlU3wLIsfLZ72OaRfdsuiADgmhP7o3deOrbsasA/P16fkjIFoaPxIhhUnOaVmOb1JGsP/TbZ6GSzW6THLcKUTF4dpjlNpjRTO3gf6MondCu6ufWdW7+qETOnCJou6pPMR2c3b49TH/NjU16350ltU2vb0pZyeHtSPnotmRvRxdj7PZp25jdnDEL/ntk4qHfb5lF0zwph5JBCvLnM3rcEAE4dXIAFq7bhvRVbY3kmn3+IUzF7FT6fD3//2TBU1zdrlz4GgJ+N6IcFq7bhP4s3YOLpB2LpbkF0eElqHFHAHko27Z2V2FRRh1c/34wLjvS2Yl1nkJ/hbRUzE2OP7INnP96At76y58zkpqehpHsmvtpchccX2EMTrz2pP47SbG67tzKsXzcsuf0MBAM+7fzAw0rycVhJPj7fUIF/fbIB5x3WG1t3NSDN78PQPnkpsSGU5scvTxmA219ahunzV3eZ/ZwEIRloGWq/P74UsurAqw4bR3VEVd9K5+DSNTofTCcKTOd16apzzu1TnU9ehhrJUfvBDa/945RXtclkK7VDN3fI7090qN2Eh3psWq5crYM/Mya7dbar7eTPgppf962KSLWdOvj91D2bToKJH/O9h+hYfQFgEklqv6j51eXPU0oXFjxuiCBqI2kBP358dGrmUfz4qBK8uawMPh9w+9kH4efH74+vv9+F6579DN9tq8HvxxyCntnhlNS1pxDw+4xiCABOG1yAwtwwyqsa8N/lZViy+8384SWpcUQBO0pwxQn74945K/DI/NUYc/h+8LpfVEcTSnbGq8Kwft2wf49MfLe9FsV56XjiimOwf48s3Pf2t/j7+6sxdL883KjZc2dvR93rSuXSY/vhpg0VmL1oPXrn25v5HtQ7N6Wi5cdH9cHf3luF7yvr8e9PN+DS3UNGBWFPIRSKO2iqw+YW7VHFks5BNTnDyZ5zcl7Va9V0fp47sdwRd5rDQ04/30NG/fB+0Dm8TpgEopMQ4Pn56mQkiHTOve5adeNQJ1HBz7uJRZ3jrzun3jNepmqr+oyq989ku6lf+W96Nni6uhGrLlpoag99QiH7fqhugG5frUAg/nymFBFEQio4eVAv/OGHh+KAXlk49oAeAGyn6q0JJ2J7dSOK8tI72cKuR1rAj58cVYIH312Fxz9YG1sNLpURIgC45Nh+mP7eanxbXo13v9mCkQcVprT8VBFKa9sfIp/Phz/88FC88vlm3HDaQPTePVftltGDccXx+yMvM9jmOvZGzh5ajN+/8TU2VdThr3NXAUjdcDkinBbAL0/ujzte/grT563GT44uQThNokTCngNN4ibHn7/1N+E00V+H6gxTms5RVSMV/Dq3SIbOWVXLVzdm1UUz3MSOE7qIFO8DU5tNgkW9RnXEgZYRIXK+1f7S1cGHxPG6dAKIH9My1rp26cQ0P8834dUJG5244OUSTgJGtVvXBp5X7QO1btNwQVU0q/3NhxSq94m3PxgEwmH7WwRRHBFEXQifz4eLhvdtkR4M+EUMOfCTY/riofdWxYbLFeWmp7y/ctODuPjYfnhk/mo89sGaLiWI+IpwwRSIleMG9MRxA1rOhyvIlWfQRHowgB8fVYJH5q/Gmt17Z6ViQQWVHx9Vgr+9txrfV9bj7eXlsQUdBGFPgN5gR6P2vi6qA0nOHnf6dNEUjkmM0Dc5gdyBpbooLRRqWYfqjOrqVoceqWKCnFgSf7xutT7Vcdftc+MkntR+UG3mTrOubUQoFK+blxmJtMwfDLZsP0UqdIKI0skGctrVPXHI5kDAPkdtb2xMbBsJat43XPAA8fP8vnBBxMUWb4va32Sz2p8q/DrdfeF9wdP4MQmbQCD+EiEQsO9BU1P8uVLP0/2gfiWx2tiYWFdWlp03PV0EEUcEkbDHs19+Bk4ZVIC532wBAByWwuFynJ8cbTu8SzdUIBK1UrJoQypoZAs9SPSm87h4eF/8/f3Vsf/cj+ybn/I60oMBnDK4F579eANWlO3COUNTXoUgtBtpaXFBpDr1uuFyPCpgctychklRukk0OYkZ3Zt79Vt9y6/m4VuyUBoXe9xeXT/wtpiEoM4mNdrA08nZ5uKE16VrD48EcUyRICdBxJ146iOTIOLihAQZT+f2qUPZdG3hwofuQVpaXPyZ/HiTqNHdW163er3aF5RXXXgtGLQ/quBpatKLYHURCjpHwkjtL4oQhcOJG+2mBD6G0kS77QrbNkQQCXsFFw3vGxNEqR4uR/TtnolQmh8NzVFsrqhDSffMdqknWRqa4399g4GuIdL2RUq6Z+K0wQV45+stKMgJt9vS+Af0tJeTX7O1pl3KF4T2Irx7CiwXAGoUhM57+abf3LkE9JPv1evovC5KYor86BxbOuZzN3RD8ChfNGo7tgT5hjwy5jSkThWOJttMbSLHOT09fkxOMdmiCgsuXjihkPMqe2oUJTMzUUSSw69CEQ1ugyokeR9EIrbtJiFJc9f49WQHf1Z0worXpfavro1ku3pveLu5AOIRTMofCsUFEb1ECATssunZ4ZrCJIioDuofwC4rK8s+l5npPmQ1abxEiEQQCUL7cfKgAvTploGNO+tavQ+PGwG/D6U9srCifBdWba3uMoKokQmikGYVNKHj+MVJ/fH+t9tw1qHFbdqQ1YkDemUBAFZvrW6X8gWhvWhoSBwyBzgPCVMxvYVXhz3pogVOb//V4WFqxMBNGOl+m1DngHARZxI/uiF1bqhOPG9Tc7Pd/6rg4L95Gg3R4o412UzXcEHU3ByPvKj9wYUVF8gm24lIpGU0wymyqH47Rd5UAep0nr75s8avVUU97xO1f3jfccHU1BTvG58vPhSOImWq+CNhSSLK6UWA329fT1FCEURxRBAJewUBvw9PXHEMVm+pxrB2mLtBHNDLFkRrttbglEHtVk1S8L2R2ssJF7xx1P7d8entI5EVar8/rQf0siNE322vQTRqoauueCgIKvX1cUGkmzNDv3VOKJ3jcDGh88NMkRSn65yOTb6eLmLkZLPO4VfbrfaPzqHXoYoBPjyMD7Higojq4/XyPuPzdLgDrTrT6lAytd+oTvo0NDj3iVO7VEFs6hOTwFYFj+7ZMYklOq97Hvh9U/sEaLmgBM9Dv9PS4n1D16j3iot4NfrH52apbaD7QMMaUz5kjiY/OdFF/RQRRMJeQ/9e2ei/21lszzqArvV2nkeIhM4nN71te0G5UdItA8GAD/VNUWyurEOfbl0jUikIbkSjZl+IHE6dY6oTITpx4BQJUiNGTjZ4PVbT1PJ19akOM7dPFUAmW9U26sSHeqxz4NXfuv6jY5oaog7Faw06IaETkTzax9PdzvFyvIgtHToB5fQcOgllHU4inNK4DTS0URdc0Qk1evGgy0v3MhRqB0EkESJB2Deg4UprupIgirTir72wx5IW8KNv90ys3lqDNVtrRBAJewwmQcSdcVW4uIkhpzSTDapQcRJSfLiTm5AyOeyq466uekbpOkGkq4uXbxJAJifb6RzvE7UuID6nxXTeTcw61a+7nrfTSZi25nlwitSZytAJXS+CR00z9YkpH53XDRnk19F5p3vLBa6XYE7S7MGCyMVqQRA48QhRywntdY0RXPL4Ilw4/X8dGrWRCNG+Bz2HOmE+Z9n3OOX/5uGd5eUdbZYgeMbkeDo50G4ONZXlNjxKJz5MHz4cy22ej9PHZJvXfvEikLz0l1sedYI+/ab5Kab6ndqhO5eKj9P90NXjxU4nX95LH+uiaDqhqLPRCd15tV51EQaTMKL72NycuMBHSvDaSV0QiRAJQhJQhGjrrgZU1TfFhkdZloXf/OdzLFi1DQCwaO12/GBgrw6xqSnlMW+hq2PPIyqP7XlEfLByK65/dgmaIhYeX9C19ssSBML0Zp77SrpIjtdokVO9ajSKyvVSjls+U7t0zq/aTqeIhVu7VbGjpvF2OvmnpugVOdsmB9sEP68TqWq71ftCafy8Ll2H2udqP5jsNeXVCUvdNy1AYeoD3TNtys/R/Tevs0kVQ07l6xaqaDMSIRKEfYOc9CAKcuzlX/iyx9Pnr8ZrX3wfO5779ZYOs6mxuWv+cRHaj/jQzfgzuHRDBa59ajGaIvbz8Ml3O1FZl+rXf4LQdpyGE6nHJkfUDbeIgNNwKd03j0io1+giQDqHXfUVdZEbFV27vUQo1LLVpbF5OT5f4hwhdSltPsyRR4l0ESydCHKKxql51aiP6TovkSPTxra6860tW90Y1umj9pkTav84DW0zlcn3IeJCTF2GO6XwzbdMny66qIIIIkFIktiwuS32cKX3VmzBn99aAQAYdbD9Rv6dr8thddBbEJlDtO/RX5nLtnVXA34+82PUNkZwwoCeOKBXFiJRC/O/3dqq8uubIjIUU+gytJco0h2bnHj+2+TQm865oYodL+dNUR6vI5XoN/mmgYDZl3XDSSR6zc+v8ypKksmjlu9Uhm6Jc5O4cRNATn3i9fkEvEXnolFb6JjumVquLurXZtweQK8PVScgQ+YEIUkO6JWFhWu2Y822aliWhd+//jUsy94c9razh+DwyW9j4846fFtejUFFOUmVHY1a+GpzFQ7unQuvyymL47rvQZuzbq6sR21jM57/bCN21jbhwMJsPPKzYfjruyvx9/lr8O7X5TjvsN5JlV3d0Iwzp72P7HAa3rjhB56fQ0Fwg89XUPfi0TmLpuFTPE3No0LnVB8smTJ0dumGQqk2q8OjeBtU20zLbPMyTDZ68TF5WTrfNBJpKQp4HjrPh1jpxINpiBhg3vDW7f6Zoit0bNpLRxUoJhFhOub1qvOCdHtXqdfo+kOFl2PSDbRMOm8vfw51GwH7/fbS3br3soGAnV5fn5xw94SXh1EEkSDsHcQjRDX4fGMlVm2pRnrQj1tGD0ZmKA3H9++B91ZsxTtflyctiKa98y0efHcV7jn/YPxsxP6ermmSIXP7HN2yQuiWGcTO2ias3VaDFz/bBAC4/LhSZIfTcNrgQvx9/hrM+3YrmiNRpCWxYe+cZWXYuLMOALBqazUOLEzuGRYEE7o9bFRBpAoAk0OZrCPnNb9OHLkJJn5eFTE6G0xih/ePLhoBtHTEeVkkrOhbhfcxOdJOERQ1j25jVicBZIromdKdxKvTM2K6X6oYchPXujp5efy3Tviq1/E2UT7d3k3qtyqI1GeDBBHfn4js4fOCmppa1k/itqHBFlmdMoeoiwqirmmVIHRh+hfsXuFrWzWe+3QDAODMg4tiCyycNsQeNjf36+RW+WqKRDH74/X2td94n4PUGJVFFfZFaIPW17/4HivKdyEU8OPsQ4sBAEf2zUd+ZhAVtU34bH1FUuW+uGRj7Pdn63amzF5B0L3p9zK0SJfPbZhZsvboRIHuQ3mSmX+ibmyqpjvNQzHZ7daXTmKMp7nVy8WQ0yR8U/+Z+tTUHrd7oJ53Onaqw4TpWl07dfa6laOzVf12e5ZMz09joy10mprsjzrPifI0Ndn3kb5TCp+E5vTpgoggEoQkOaCnPX/ju221ePXzzQCAHx1VEjt/2pACAMCSDRXYXt3QsgAD81dsxbbqRgC2IxqNeov8yJC5fRN6Dmd++B0A+7nLy7RFeVrAj5MPtFc5nPuNd2H+fWUd/rd6e+x4sQgiIcV4ETtO50152yqKTOfcHF2voqg1H7U+Xd26NjgJKbd2ugkNNYrlVK56LhnRo6vfS1u9CiM34eOEV6GXTDm6+p3uh0ks6cS1ms6HP5qGG7aaPXgOUde0ShC6MPvlZyCc5kdjJIqq+mbsl5+BEQf0iJ0vzsvAwb1zYVnAeyu8T2p//rP4m/mq+mas8rj5a5MIon0SihDVNdmv+H54xH4J50/dHal8N4kVD19ashmWBWSF7CWNPlsvgkhof9yiPabzXiaae8HJgVbz8GMnR95LfYA3P1EdTmU6r6vH1CYnG3Tl0WR93ct9rz6uOn9IrS/Z0VbJChgv9unSTDaa+s2r3++WPxXl6uqh/YrS04Fw2LmspBFBJAj7Dn6/D6W7384DwNgj94M68ZyGzT310Tps2FHrWubOmka8s3uIXe+8dADe3843iCDaJ6GltwGgW2YQJw8qSDh/0oG9EPD7sHJLNZ5fvNE1kmhZFl7YLcqvO3UgAHsD4oraxhRbLgjO6OaYePWn2itS1B54dcBN17XVr0xWmAGpWTG5tXYnc11rIjaprL+1ZZnuv0ncEG6RU56XBFEgYG+4m1JEEAnCvgXNIwKAscP6tDh/3mHFCAX8+HxDBU77y3zc/epXqG8yD9Z99YvNaIpYOKg4FxccaZfnVRDJstv7Jv2ZIDpnaG+E0hL/nOdlBHHKIHvY3E3PfY7j//Qu/rFgrbG8rzZXYeWWaoTS/Lj42L6xIXlLkpyDJAipxEvUJFV4HWqlS9MNb+LfrbGDY4qGJRu54OWrDrUpouT3Jy7JrdrqZagdT9fNbVGPTWl8LozpnG5eVGv2HErVEDVd/W7HTh8dbvdaheaDNaV6qzrZh0gQ9i0G7hZEx5R2R78eWS3ODyjIwX9+OQLH9e+BxkgUMz/8DtPnrTaW95/F9pv5C4f1wbB+3QAkIYgkQrRP0rd7FkK7V4/74ZH7afP85ceH44bTBqJXThhbdzVg8mvLsc0wr42GbJ5+UCFy04M4MsnnUBDc0IkJLyQretoikpxsdHNMTULAS52pEFJA8lGUVJTn1GYnkdTen7bWo2ujl/Y5PTMmG01l6PrV9Oy5obM95dsltkOEaOrUqTj66KORk5ODgoICjBkzBitWrEjIc/LJJ8Pn8yV8fvGLXyRVT9dc6kEQujiXHNsPZZX1uOKEUmOeoX3y8cxVwzF9/mrcO2cFPl23Q5tv+eYqfLGxEml+H84/vDfSdv+xWLutBturG9Aj23mQb5NEiPZJQml+/OXHh2F7dQOOKMnX5snLCGLi6Qfi+lMH4LS/zMf6HbX45vtdOGFg4jNVWdcUE+Vjd4urI/t2w38Wb5R5RELKMDnOJifTK25vw5OFyjFFVLw6n6b8pj7Q9QmVY6pTLYuWwvbqQPOls9VIhd9vH6el2Y5zNJq4KhmlmcSQKYqli2Lw/jK1TdcenUjh7XfrB7dz/N6rZTnVY2qP+lw49ZE6ZFQVTrTsNl/CnuZ4qfeS8lPkyu9vuYx6SvAieJIURPPnz8f48eNx9NFHo7m5GbfeeivOOOMMLF++HFlZ8RfSV199NSZPnhw7zszMTKoeEUSC0Ap6Zofxx7FDXfP5fD6cMKAn7sUKrCjbpc1z71vfAABGHVwUEz8DC7Kxcks1PltfgdMPKnSsQyJE+y7netx0NRjwY0hxji2IyqpwwsCeCednfrgWu+qbcWBhNk4+0J6LRJHKpRsqkt7LSBB0JCuCdGkdOf1AdWpVYeSUzyRiTEJH50SbylGddP7tdK3bbzfBqgqiaDQ++skkAJzEnK58L/nc0PWXm9jSPVcm8aK7dzrxq0v30h+m9ugiSQSV63Rf1eOUiyEyJMWCaM6cOQnHs2bNQkFBARYvXowTTzwxlp6ZmYmioqKkyk4wq9VXCoLgiYEFOfD5gG3Vjdi6K3G40rwVWzBvxVYEAz7cPGpQLJ2cUVNUiSNziAQvDCrKBYAWwryqvik2t+iG0waCFggZWJCNnHAaahsjWFGuF/OC0Fq8+k1OI210x6meW+Qmakz5dBEDnWOrK9vNYXZrp04AqNea5hiZojmtwamsVJTr9ThZ23Tl6H67RXXcynN6vt3sIVRR5KVuErYURUopSQyZq6qqSvg0NHjbpqSyshIA0L1794T0Z555Bj179sQhhxyCSZMmobbWfUGrBNOTyi0IQtJkhAIo3T3P6Juyqlh6cySKKa9/DQC4/Lj9E1auo/kbXjbGlAiR4IXBRTkA0ELczPrwO1TVN2NgQTbOOqQ4lu73+3B433wAskGrkDq8Om2dVV6yeB2S5XRdqmmN8NCJIl0ZgYD5umRtM533ck9NNralfDdxohOiJuHiJLLc2udFDLVGBKq0S5QoCUFUUlKCvLy82Gfq1KkebI5iwoQJOP7443HIIYfE0i+66CI8/fTTeO+99zBp0iQ89dRTuOSSS5IyXYbMCUIHMLg4B2u21eCb73fhBwPtlb9mf7weq7ZUo3tWKLbMMXHUbkH0+cZKNDZHW6wgxmlqbo+4t7C3QYLo2/JdiEQtBPw+7Kpvwozd0aHrWXSIOLJvN3ywchs+W1+Bn43ocJOFvQw3p9Up4mOKepiGiul+txanYVVeUO2jNKfyyHYvjr9TtEHtH6eoBIfmoqjX8gXCuC26+2MSD25t52XqynO6xind63OnnvMSwXEq2+mem/rG6ZjmBqn9r9ahuy9+v31vw2F7H6KUC/O0NP1mVZzdKmzDhg3Izc2NJYc9bIo0fvx4LFu2DAsWLEhIv+aaa2K/Dz30UBQXF+O0007D6tWr0b9/f0+mS4RIEDqAwbuHK329O0LU0BzBtHdWAgBuPP1A5GUkbgZQ2jML3bNCaGyOYvn3VXCiQYbMCR7o1yML6UE/6puiWL97b6zZi9ajsq4JAwqycfahxS2uOXS/PADAyi0yZE5IDV6cVrcohZf0rkxbbU4mApRsXq8RGiC+wrKXsr3akAxe5x55wUtUpi3ltKZ8U9+aIlWmfGpeny9+71K+AnYSEaLc3NyEj5sguu666/Daa6/hvffeQ58+Lbc74QwfPhwAsGrVKu+me84pCEKrobfz33xvO5YLV2/HjppGFOSE8dOjS1rk9/l8saW9122vcSxb5hAJXgj4fRhYsHvY3G5h/sayMgDAFceXIuBv+T9jSXd7lZ6NO+s6yEphb0c3gZ+nm445TmLJ6XdbnXGnRQfUj+4anpZqnISJVzGp2k/RBPrQhp4EX2VON2lfd0yf1uwLpO5PxMs27T/k9DG1m6ebjpO12bRXkVt/6OzQ3Ue3yB+lpaXZm7EGg/axOgSyzbTDPkSWZeG6667Diy++iHfffRelpebVfYmlS5cCAIqLW77oM9GlBVEkEsHtt9+O0tJSZGRkoH///rjnnntgsUGPlmXhjjvuQHFxMTIyMjBy5EisXLmyE60WhJYMKbYjRKu2VKM5EsU7X5cDAEYeVGhcvYuc0Q07nCcGyhwiwSuDSJiX7cKWqnp8vqECADBySIE2f59uGQCAitom7KpP9Q5+wr6GybEzOdJdHbcFF9yEkZdzqbDJdC6ZvIA351lXh0n4ehEsJgFqstFJ2LiJcNP1yZ53u9Zkj1N5yVyTrF0pJYkIkVfGjx+Pp59+GrNnz0ZOTg7KyspQVlaGujr7Rd3q1atxzz33YPHixfjuu+/wyiuv4NJLL8WJJ56IoUOHeq6nS88h+tOf/oTp06fjiSeewMEHH4xPP/0UP//5z5GXl4cbbrgBAHDvvffiwQcfxBNPPIHS0lLcfvvtGDVqFJYvX4709PROboEg2OyXn4GsUAA1jRGs2VaDuV9vAWB2RAGgpBsJIue3800iiASPxBZWKNuFd7+xn8HD+uShIFf/tzIrnIbuWSHsqGnExp11GFIc1OYTBC9QRAHQO626iAXBz+mcO92cEx1e8znBIygmu53q8eLcm65V54uY6nISIUB8fyHTPkTqfkSRiJ3W2JhYls/nrT+pHNV+1T7dfVa/eRncRl2dJlt0v03PmC6PF3Gvpqv3iY75OZNu4HmpPNqHiM5TBIiXx+8l0dgYP8+XUU8JXgRPkoJo+vTpAOzNVzkzZ87E5ZdfjlAohHfeeQfTpk1DTU0NSkpKMHbsWNx2221J1dOlBdH//vc/nH/++Tj77LMBAPvvvz+effZZfPzxxwDs6NC0adNw22234fzzzwcAPPnkkygsLMRLL72EcePGdZrtgsDx+30YVJSDz9ZX4PnPNuL7ynpkBAM4rn9P4zX0dn5jhUuESIbMCR4ZxARRU8SOtJ82xHmfqz7dMpggym13G4W9m2Terrd2iJtONLQHJieXn9Ndo/vNj53a7STATPmdrlO/nSJb0Whyq5Ila6uX86m+riNRbeTH6m/CTeya6tBF2/i1lL4nbMxquRhZUlKC+fPnJ1Wmji79+Bx33HGYO3cuvv32WwDA559/jgULFmD06NEAgLVr16KsrAwjR46MXZOXl4fhw4dj4cKFxnIbGhparH8uCO3N4N3O5NML1wEAThjYE+lB8xiE+JA55wiRDJkTvEKCaO32GixYtRUAMNKDIALch24Kghec/CWnt+Ne8+nm0riV1xa8RkeSHSrF0bW3te1xq9t0f3h0z81WJ7uc7E9mNJXTPDK363TPhmqDKc1Ujpsdbm1zGlnmZgvh9pypIinl0SGnhpj+0XYhunSE6JZbbkFVVRUGDx6MQCCASCSC3//+97j44osBAGVl9oTgwsLE/9ALCwtj53RMnToVd999d/sZLggahux2Rmsa7b9CTsPlAKCku+2Ibq6oiy2TrEMEkeCVXtnh2BC4+qYoeuelY0hxjuM1fbrJwgpC+2NyLnWOry6SpHur7hQdaq/IUVsjFV6ubY3T7UV0qJE1L068ZSX2txeSERKtudYUtXMTUW5lm549/u116CfP52SHW/1OmF4k6M6ljHaIEHUUXVoQ/fvf/8YzzzyD2bNn4+CDD8bSpUsxYcIE9O7dG5dddlmry500aRImTpwYO66qqkJJScuVvgQhlQxmw418PuDUwc5v5gtz0hEM+NAUsfB9ZV3MMVVpaq/xIMJeh8/nw6DCHCxcsx2APVzO57LiTwkN3dwpESKhbfBlmgknp810XsU0FEkVRdwZ1R23FzrbvDjf9G1KB+KrvvF9g/z++LE6ZI6f5/nUPPx3Wpp972ilOYKWb9bZbzrWtd2raE2F0FTvhZNd/NrWPJdOdvBydfWo9183N0gXeOH3k9JoRT46DgTsT7A9poSKIGoffvOb3+CWW26JzQU69NBDsW7dOkydOhWXXXYZioqKAADl5eUJS+uVl5fj8MMPN5YbDoc9bQAlCKnkwML4m/jD+uSjV47zM+j3+7Bffga+216LDTvMgkgiREIyDCqKC6KRBzmLckAiRELXobV+VHtFg4jWRoVMwsDN3ta85ffqo7rVnfJ9a3bjFlnR5Tddq7tOFcleaa3wccJru5Kty2v+lC+1zfGyMWsXfYnbNWXabmpra+FX7nAgEEB0d2eWlpaiqKgIc+fOjZ2vqqrCokWLMGKEbKsudC3yMoLYL99+2366B0cU4PvAmN/ON4ggEpKAhshlhQI49oDurvljc4gkQiS0Ed2+NbpVuUzzXJwiCW0hVU6ubnECpzk7XvJQPt2xqf9Mx06T650+gO1E+3yJk/Dpt5cy6GPak4d/t/Vj6ltdv5ns1/Wb0/lk7eF9YdqryK2PdHgZ6shJ+TyidtiHqKPo0hGic889F7///e/Rt29fHHzwwViyZAnuu+8+XHHFFQDs4R8TJkzAlClTMHDgwNiy271798aYMWM613hB0HDpiH54cckmjD3SeZdlgt7Ob3B4Oy/LbgvJcOrgQgwoWItzhhYjnOb+qnC/3YJoV30zKuuakJchS28LqaUjXhirQ+fUOlMVRTJFIHRRDJPT6hThaIsNXupJJTwqA7hHcfg1unTCrW2pahe3RXf/THl15ah94aVuQh3aqfs2Df/U5YlE4kPw9oRV5jqKLi2I/vrXv+L222/Hr371K2zZsgW9e/fGtddeizvuuCOW57e//S1qampwzTXXoKKiAieccALmzJkjexAJXZJrT+qPa0/q7zk/Layw0WGFL1l2W0iGXjlhvDPxJM/5M0Np6JkdwrbqRmzcWYu8jLx2tE7YF/DqDCfjSHtxNjtaFKlOrZsDm4zocarP5EC7XevkTAPuK82ZhJxXO0194mZXR+Jku0mw8GtNAkvNz8ujPaOcyqXoEdcjPKrEy21qSjyfUkQQtQ85OTmYNm0apk2bZszj8/kwefJkTJ48ueMME4QOIh4hchBEEiES2pn9umXuFkR1OLi3CCKhbZiEh5dJ+YC7KFLnipgczfYURSomseO1Pi8T+nWT9N0iE7r8rcXt/ujqdDo22W66z7pruT2mtjr1mzpfy8ucIt3z5/U61Q7VBl6W7rzpd4chgkgQhPYgvsKXfshccySKaKpD3oKg0KdbBj7fUCF7EQltxqszTL91zq7OSVZFjpvwoWt0b+m9OvYmkvUHdQ64Lq/JQff7E1eZU/Oqjr/6UW1Q6/f79XNNvKwayFFtNOHWB9xeoKVIUM/zdqjnTGJSV5/JbrfhdLo8prY5fdSy+b3n3wSPKtEx5QsG9fevzYggEgShPaBFFcqq6tHQHGkx50OGywkdQR8XYS7s/SxcuBAnnHACzjzzTLz++uutKoMcMJ0DS79NDj/Pk6xQSWZOjc5ZpnOtxUs0gNehc+b5Nbpj9VwoFC+Tz2HhooQvCKYKDN5n3IHmK5Spi4k5RUvUdpjarbvWJNZ0/WO6zhQxMUVUdH2gq1MVsnSsDlPzGqEzfdRlt53yu9lJ/w4DAZlDxBFBJAhdmB5ZIWQEA6hrimBzRT1Ke2YlnJfhckJHUCJLb+/zzJgxA9dffz1mzJiBzZs3o3fv3kmXwR1w05AkdR8V0wq+3OF0m2dimnNhEh5cRKjn1PJ1mNrGcYpI8HNqVIXe8qvH6j5EoVCiY87nl/BoAuUj57ihIdFJ9vlsMRQKAenp9oeg33z+Cu8/VVA6RYh0IpnK1PWnrg6TIKC6VeGiiiVT+TqxwW3Utcn0fPL61etM4kb9d6OzzbSvFG8P/Q6H4/dS5hDFEUEkCF0Yn8+HPt0ysHJLNTbsqBVBJHQKfWRz1n2a6upq/Otf/8Knn36KsrIyzJo1C7feeqsxf0NDAxoaGmLHVVVVsd/cAdPNszANP9Klqb9V2ursOb3Z94KX6EYqUMWBKubUoWX8PA2FU9tqitpwscTLVcs3HZvsN513u9c6oaGKDp0tpjrU/kn2WkozCXSntpjg5SVjm1Nd0ah97yVCFEcEkSB0cUq6Z9qCSOOMyh5EQkfAN2e1LAu+LrqPhNA+/Pvf/8bgwYMxaNAgXHLJJZgwYQImTZpkfA6mTp2Ku+++u0W6F4eXz3vgb8CdHEqdQ61z1r3kV3+3VhSlSgzpRAWPDvAoii7KwssBgMbGlnkikXhEg8rhESWfz44Q8XxAPI8uGqITXybbnIaXkS38PK+Ht01tq5quRrHoWxe1MQlCFVO+1kSI6FgXJTKJVafnk98LntbQYN/TSKQd9iEKBNw3ZuWd04XomjJNEIQYTgsryBwioSOgCFF1g70XkbBvMWPGDFxyySUAgDPPPBOVlZWYP3++Mf+kSZNQWVkZ+2zYsAFAS8dN5wzSt24Yk9ePWha/XndO9zvVL7lbG2ky2e/WZt0wL6dyVG3Lr6N5Q6Y2p+qFv64cXftaU06yNpiejbaU6YTXCI9bNE0nFNV0y7KFUDTajhEiL/9IuxgSIRKELg4trKBb4UuGzAkdQXowgF45YWzd1YCNO+uQnxnqbJOEDmLFihX4+OOP8eKLLwIA0tLS8JOf/AQzZszAySefrL0mHA4jHA47lmtyOE1ziExD5kzRE91QIq/RGqfogG6IlJqu1qfWa4remJx/nk79oc4Z4iuM8WP1ZbzON+WLJZjy6176t4cQcuobL3UnK3J1+fk9cxNjOvt0z6BatskOXWRIFyUyHasRQx5ho3Kam+MRIhkyF0cEkSB0cejt/AZdhEgEkdBB9OmWga27GrBhRy0O2U/2ItpXmDFjBpqbmxMWUbAsC+FwGA899BDy8rw/CzoHUxVAOidWTVeHAalOp27YFqXTt0k08fJ4XvU3L4+3R+ekJuv/qQJI5yw7CSI1nTvFqsAkMURtTktLnFdE3z5f4uR+XodpBJSur0z+sm64nypK1HLV/lfbrxMrurJ0z6XpOVWH1TktFOFFtKlLY+vs4R9Tm3X/VnTf9AkkLlibOkQQCYLQXsTmb+giRDJkTugg+nTLxJL1FY6bBAt7F83NzXjyySfxl7/8BWeccUbCuTFjxuDZZ5/FL37xC8/lqY48oI8I6SIdJkFkEjxuabq5Fbr8qmPt9pbeLY8p4mASQKZV5VTnl5bZVvtVtxcNr5PEkFoHvyYUiq9MxgN/IRYoVvuS95kqxtRokxrBUKMppr7SCUDTdTqhwAWXTlDx67gg4W1VbTfNneL5eDr1NV2n3l/qL6fnX9dOnT1cDHndEyppRBAJgtBe0JC57TWNqGloRlY4/s9WIkRCR+G2SbCw9/Haa69h586duPLKK1tEgsaOHYsZM2YkJYicML0ZN+VV8ToHg5ehm4/BnUe360y2mOr1YqMqvkwRJifnnX77fPaQKJ0Q5fkpL0HDqEziTVevro0mG3n7VFt4HtOcMy+CSGer7pkyRVbU6JKuj3mESLVRFeAmm03tMWES8uoxF/1qHh4dcnomW8UeLIi6plWCIMTIywgiN93+q7upItEZFUEkdBQUqdTNZRO6LvX19a2+dsaMGRg5cqR2WNzYsWPx6aef4osvvmiLeQDMb7n5b53TCrR0/ExzOrxEadTzqj1enWqTYONzOpqb9Xabolcmx1VXNwmgQCAudGi4mxoloDyBQPxDxzRMjosl/tt0X0zRFifb+bFb25zazD/quVCo5Tn1Gl2ERrVPd00olPhR03jZunpMdarPkA712aHnS33GOO22UKjXm9UF6ZpWCYKQgGlhBVl2W+goSrqb57IJXYtoNIp77rkH++23H7Kzs7FmzRoAwO23344ZM2Z4LufVV1/F66+/rj13zDHHwLIsDB06tJU2Jv42HZtEhE5QqB8veXRRIq9iRMUk4nTtdrNBzaMeO7UNiM8DomiPzjEmYaQOm1Pnl3ideG+KzPA+8ZqPiw8nAdRW/zuZ+6uz2VSPm2hW+8QJnX2m6KVTP1Nb22UxBZ0RIogEQUg1JYa38zKHSOgoSmJ7EdXCarf/TYVUMGXKFMyaNQv33nsvQmyixyGHHILHH3+8Ey1riWlojyoESADwt9+NjYnH6sd0nSomdG/SvURl+O9k/D6TKHIa5qQTQKb2RKPxpZXV/iN0c4eoPRxanpkcaae+UK9P1vHn+d2iKKY8pjlWunoIk+h0EqxOtpja1hY9YBLLuvao9arXWVbid0rZgwWRzCEShD0A09t5GTIndBS98zPg8wH1TVFsq25ErxznZZWFzuPJJ5/Eo48+itNOOy1hjs9hhx2Gb775phMta7k5Jl+9y805pzzJRndMb9h1IoyXr6Zxu53Eks5R1Tm06nl+Lb+G9wvfMNXvb3ms6zO6Dog77VzgqPOHdO0LBFpu5Mk3ZnWKqrk57uo95/3sdJ2Kk6Dm99B0z9XNVDl8OWudjU6RP7qe2qJ7bnX2mNrupZ2qLYRqd8rxsjFruy1x1zZEEAnCHoBpyJwIIqGjCKX5UZybjs2V9diws1YEURdm06ZNGDBgQIv0aDSKpqbO21i3uTlxBTNypum36gSqQkQnhgjTG3TVWVTPqc6iTmi51aVDtd2pHJ2TStfqBA9FJFTnnJ9Xy9I59Ca/1bJarp4WCNgROe7LUh6dAHISjPxbd84r6j3UiQGeV3etU9n8t27Zbadj9bnWrUanqzOZPtA9IzoRZrKxXUSRlwiQRIgEQWgtpr2IGps1YxgEoZ3o0y3TFkQ7anFk326dbY5g4KCDDsIHH3yAfv36JaT/5z//wRFHHNFJVrV03gH9fjq6Y56mvs0HnCND9NtJEOmcUafIhe6tOxcpunwmB1RXN1+iWhVCpnT1G4j3EznNdD4QAIJBe8K/KtrUSFAoZC+5TR+eTmWrjrhOMJhGTumEsFOf8aWqed/xZ0d9RtRnSRVSXGTq7FZX6eMRO163apMqUrjtKqqw5elqOaZrVdtN9Xgps1WIIBIEoT0pYXsRWZYF3+4xDjKHSOhI+nTPwMffydLbXZ077rgDl112GTZt2oRoNIoXXngBK1aswJNPPonXXnut0+zSRTJ0kQ/+OxTSR3FMzq1JDDkJIjXSoubnNpvaZXLyde13c2xN/eEkfEichEL2ELhg0D5uarIjPpSfBBDNeeECh6D5WUQoZJen7kMUDMYjRzqBqgoDXZt0/UO/nZx5p/unu1YniHhkhQ8lpPOA+2pwJAbVCJJp+J0qpHSo4kztE6e+8ZLm87WjJhFBJAhCe0JLHu9qaEZlXRPyM+3//WTInNCR8IUVhK7L+eefj1dffRWTJ09GVlYW7rjjDhx55JF49dVXcfrpp3eaXXzInJOTSQ6hzmmkdPUtuGkIkmkInHrOCSf/TXfOaViVyaFV03mURY34qI6/GrXw++OriKnDpih/KKRfJIH6RBddUSNBFElqbGwZIVLrI9GgClOObgif7t6pYsEkatU6dJETpwiheo1aFz9WBZA6nFAdQuc12qM7VtukE22654zO0ZLq7SKMRBAJgtCeZIQC6JkdxrbqBmzYURcXRBFZ7UvoOOJz2SRC1NX5wQ9+gLfffruzzUiA5qZwh800F4a+1aFLfEU1wqsg0jmWOkdYFVFODim3zQtuokjXBsB58QRuIxdMdMzL4Xm5AOELR0ajdmQJsJ3nhgY7L604R1AUSRVAuvujtl9toynqoRO0buLCdL+c+l1Xjq4NPHKk2qezUSeY1DaoqPPsTP3iFBEyRcm4KGoXRBAJgtDelHTPsAXRzloc2sfeKFEiREJHUhKbyyYRIiF5olH7rbTT22s6pwoANY9bhEgXBXJ6q8/r4PNu6FuNKqgREVWgONnG63Rzwrlw1PWT6Vh12NXzZLcaJVJXmaPzjY1AfX1iO0kQqf1saq9O0PB09XmgNC4udGKHPyu8fG6Xl/ldTsPc1CF1vN91beRDDp0iRLpokPpcqhrDFCGletT+5H2QlmaLXYoiOg3daxUiiARBaG9KumViyfqKhJXmRBAJHUmf3RGizRV1iEQtBPzttd250Bb8fn9snqGOiG6sVAehOpC61c9UAaQTRCYRwo9N0QPVYVaFmM5B5/nc3tg7RRZMYkFnu648L4IISHTg+fV8rxx1wQqTiPT7bSe6qckWRYTTKnNO7eL1mdrMMa2WRmmqIFJFj3qdKjqcytbdAzWfro2m8k3fanmmZb55Hbo6VeHOz1O7I5H4/lUp31KuHQTR1KlT8cILL+Cbb75BRkYGjjvuOPzpT3/CoEGDYnnq6+tx00034Z///CcaGhowatQo/O1vf0NhYaHnekQQCcIeQnwvIiaIOtGxEfY9inLTEQz40BSxUFZVj/3yMzrbJEHDiy++mHDc1NSEJUuW4IknnsDdd9/dSVYloosSJXNta8pwG07Ev3n5qiBzWr1MLY8f6+x1E1mqvU5DqHTHTmJF51Troj3NzbYYUv+7MUVsTOfIfh26SIjpGt2xeo9MeH0GvDxTTvla81y2BqcXCKoo4+dNEa4242ViksPLGh3z58/H+PHjcfTRR6O5uRm33norzjjjDCxfvhxZWVkAgBtvvBGvv/46nnvuOeTl5eG6667DBRdcgA8//NBzPSKIBGEPgSa08/kbEiESOpKA34fe+RlYt70WG3fUiiDqopx//vkt0i688EIcfPDB+Ne//oUrr7yyE6xqiRqd0X2brjM53HQ+GXSRBV26TjR5deJN9jpFIXgeKtMtEqVepxNEpj7WCSIgHk1Q5xDxa5zsJ9tNabrooNO1pmOvjr5TZFG9t+o5U0THJLDcIkFudSebnx+r/UvsaavMzZkzJ+F41qxZKCgowOLFi3HiiSeisrISM2bMwOzZs3HqqacCAGbOnIkhQ4bgo48+wrHHHuupHhFEgrCHEJvQvlOGzAmdR0m3TKzbXosNO+swvLONEZLi2GOPxTXXXNPZZiSgOpHqUCHKo3PinZxe3XApNWpCx05DjdR6dNEcLxEbp4iEWzt0aarDS+WpUSxdNM1p3ohpmJnupX4kEp8TprPVJOSc8uraq7NXFwHj/aK716pgUtup61MTbmLdy7NE9aoRQzWf2m/qh99XXR+rc7Zonli7QBOV3PIAqKqqSkgOh8MIh903/K6srAQAdO/eHQCwePFiNDU1YeTIkbE8gwcPRt++fbFw4UIRRIKwtxFf8rgO0agFv98n+xAJHU5s6OYOWVhhT6Kurg4PPvgg9ttvv842RYvT0CP1vFdnVXUY+XknUZPMOS+2u+E1KuaEm8DQfasONKXr+odQ55w49aVTBC/Z4Vqme+DlXrpFw9zq83KsE2E8n6lP1HSTEDLZ6DbkUmdLu5JEhKikpCQh+c4778Rdd93leGk0GsWECRNw/PHH45BDDgEAlJWVIRQKIT8/PyFvYWEhysrKPJsugkgQ9hCK89Ph99lRoW3VDSjITZcIkdDh0J5YstJc16Vbt24JiypYloVdu3YhMzMTTz/9dKfZ5fd7ezttcvRUp9Pkd5mcbZMzqjunu043HMvrMC/VLvW8bm8dFS+i0YuDrM4j4WU79a/fn7hcczSqjxy5Df0y9WeqhnE5PRdudvLfTqLH6f4m0ya1f9R7o0a1VDt191LNo0bBaMhcuwybS0IQbdiwAbm5ubFkL9Gh8ePHY9myZViwYEGbzNQhgkgQ9hCCAT+K8zKwqaIOG3bWoiA3HQ0iiIQOps/upbc3yl5EXZb7778/QRD5/X706tULw4cPR7du3TrRMrInOVHEr/Hia3l5E+7mtHsRS7rr3GzROeUm0aeD94EqgLwMTTOlqWIzFeic/WTOqziJDNXp52mmOnXPmE5MeLm/yd5Hr6LRVB+310nYmezvChuz5ubmJggiN6677jq89tpreP/999GnT59YelFRERobG1FRUZEQJSovL0dRUZHn8kUQCcIeREn33YJoRx2G9ZM5RELHQ3PZNkqEqMty+eWXd7YJWsgJ4zgNtzKJCTWKoV7jxaH3GmnS1W1y5FWHPVlnU9dmN0GjG5LFh8OZ+qK5OTEqpRNDur7xYp+pf5wiGbrjZIaPeRXC6jPjNBRPd41bfi+i0ilaBsSXRufn1AiiqVxVDJsEn2W101yiJASRVyzLwvXXX48XX3wR8+bNQ2lpacL5YcOGIRgMYu7cuRg7diwAYMWKFVi/fj1GjBjhuR4RRIKwB1HSLRMfYUds/obMIRI6GprL9n1VPRqbowiltce4CyFZvvjiC895hw4d2o6WmNG9uTc5sm6RDt28EF0ZXm1ySjcNQXLLpytf1y6ToErGwXcqj6er501Oval/3fat0YkcJ4GUTFmqnTyPaYifF5xEsSny5laeKZrlJoacRGRbnucOox0E0fjx4zF79my8/PLLyMnJic0LysvLQ0ZGBvLy8nDllVdi4sSJ6N69O3Jzc3H99ddjxIgRnhdUAEQQCcIehbrSnESIhI6mZ3YIGcEA6poi2FxRh/17ZnW2SQKAww8/HD6fD9Zuj7UrbswaCsWdRf7x6uwBic6pzvdSy9Ll5XUDiZuV0nmOadEskw38PK/PVL7aH0BihEcX9XKLrLlFrdxsV9tAZamPlZMIVOugfqb+NIkFU9tMq+PxFfVU8aD2ndoe+nCbdP0eCiXa4iSgdPdLJwJ194D6R7VHZxel8X7V2aVGiNLTgXDY/t4TIkTTp08HAJx88skJ6TNnzoxFw++//374/X6MHTs2YWPWZBBBJAh7EDR/Y1OFPX9DBJHQ0fh8PhTnp2PN1hpsrhRB1FVYu3Zt7PeSJUtw88034ze/+U1syMjChQvxl7/8Bffee29nmejpjb8u3U308HSnN/BOwqUt58h51c3vaE3Uh/J7iaQRyQ4B5Dby60zROl1kyO8377GpOvKmNJ196jkuANTzJGZUp5/ymDYndXp+nGwzHXvFSRCZnlcnm1RR5GQXnQ8E4qIr5YKoHTZmtdzCkgDS09Px8MMP4+GHH06qbI4IIkHYgyjISQcAbN3VAECGzAmdQ6/sMNZsrcG26sbONkXYTb9+/WK/f/SjH+HBBx/EWWedFUsbOnQoSkpKcPvtt2PMmDGdYGGig2eKgOgce9MwMF4m/dZdY3J0eeSCH6siJtkIEa9XFx3SRYuam1tGLHSRI7dIka4OUz7VZlNZ/DcXGKrv6yUy5CSK3ASzaT8iNaqmlsmv00VaaD4VP6/D9KxxGhv1faK7Tid4dP1D/aa2w8kONwEdidgfD1ojOdohQtRRiCAShD2IXjn2spQxQSQRIqET6Ln7Ody2+zkUuhZffvlli4nHAFBaWorly5d3gkU2OkfRJHa8+ExujqdpuBihi+joylcFjnqN27VOG6Ga7HdCJ3Z0kR5dH7QVU6RI/Xb6qNEMNbqja5sp8sXFjW4oniqS1Dq8CGfdUDwnIeKUpquD+kSXR+03XcRLV5/Ti4F2JYmNWbsaXdMqQRC0kCDaWduExuaoCCKhU+iVvVsQVYsg6ooMGTIEU6dOxeOPP47Q7skPjY2NmDp1KoYMGdJpdmVlAU1NeqddFw0B9BEh9c256vDxIVb09p87lhSNIXQOujpHg8rn5yhdF2Gi82pUxUuESI0WmdJ0kSeyUR1GpkbeTCKPl6f2B5A42knX/zzd6Zvnd3PS+Rwh3TBC3jc6saMTJHQNfw51zwjVp7ZVna+j9iPZrLbN9MzSHCVKo3w+nz3EjcqnyI4qzHw+IBhMvEY3VTAQALKz7fry8vR52oQX1dXuqqx1iCAShD2I/Iwg0vw+NEctbK9pEEEkdAo9s+3/vUUQdU0eeeQRnHvuuejTp09sRbkvvvgCPp8Pr776aqfZlZaWuNSvKhZUVAdX50ianGsuhkyOO7eLn6eoAnd+6Tovgojbp4vmmAQfH77FhZDOZjUCpBOZuiiBDpOdqriIRBI3ZlVFhJrmJIi4sCKH31S3z9fyuVHtNgkinaAGEsWqLhpD11P/k+2qQNL1I49WqedNgojnV59ZLnAoSkR2ccEUCMTnB/l85rltaWmJ+VKKCKL2Y9OmTfjd736HN998E7W1tRgwYABmzpyJo446CoA92erOO+/EY489hoqKChx//PGYPn06Bg4c2MmWC0Lq8ft96JkdRllVPbbuakCDzCESOgF16KbQtTjmmGOwZs0aPPPMM/jmm28AAD/5yU9w0UUXISur8xbBCAZtR4y/1effQEshoEZyQqFEJ5KLEe608rJVB1ONKFCZhBohSk9PPEeQAxoMtmwrpUciQH19opPd1GT/JidfFwlqbDT3Exc9PNrF+41HHKjvdNESE6ZICBew6ektRQTVzfucf/N7SN9cdJD44VCfUb/xviSbuPhRBY1uDpHaz6YIEV1LbaV0/hxyO/nzx+uj3zoBr0aIQiEgM9McDXMSRDxKpBKJ2OcoQpSZ6W04Z1KIIGofdu7cieOPPx6nnHIK3nzzTfTq1QsrV65M2Gn73nvvxYMPPognnngCpaWluP322zFq1CgsX74c6fyvmCDsJfTKsQXRliqJEAmdQ8/YkDlZVKGrkpWVhWuuuaazzUiAL7uti2aoQ8HU6IkafdAJInqDzssgB51frxNEPEJEZXJBpEYbnARRMGiXq06yj0bta8jpV4WQKerD6zc5//waHboojhpN4vW5+a2m5Z5VQUT9y4/T0hL7NRqN9yP1DY8MhUK2sFTtUofMqX1C4oGGhlFkhIsKnSBSn0veRn5Mzx+JDTUqY4oEkZChfqR/G4DdL7QkNkXl/H5bEJLY4eVSWeq/CYLEEfVBKGSXT+IppYggah/+9Kc/oaSkBDNnzoyl8YmilmVh2rRpuO2223D++ecDAJ588kkUFhbipZdewrhx4zrcZkFob+jt/PeVdZ1sibCv0lPmEHU5XnnlFYwePRrBYBCvvPKKY97zzjuvg6xKpLDQduq4k0rzIehNPY+MNDfbx4QaZeDRBiAegaLVs8hRDofj5wIB27Hmc4syMxOdSHK86RqKDqiQMxoOJzqi3NlV53w0Nia2iadHo3bdFA2JROL91dhof9fXJzrqar9RmWqEgjvLFB2goVO8r3QRDS4GeOQhJ8c+Tk+P9y1gH/Pr6Dw54KGQfRwOJ0aEqP94xIjfS95Gso/aTu2mSAm/hvosEonfq8bGeD83NydGWqgs6n+6zueLiwp6Jnh/WBZQXZ34jOiGVVLbqT9JPPNoERdE9Bw2NcXt5qKRIBvVuUQE9VNODpCRAeTnAw2p/hMugqh9eOWVVzBq1Cj86Ec/wvz587HffvvhV7/6Fa6++moA9r4LZWVlGDlyZOyavLw8DB8+HAsXLjQKooaGBjSwp6Cqqqp9GyIIKYQmtG+sEEEkdA60ytz26kZYluW4CajQMYwZMwZlZWUoKChwXFbb5/N12sas4bDtoDU3244YvaknwcCjJbqhWNxRp2/+obfkalSFHE7unHKhQA46Qd1DzrMqiLhwSEuLO6w05IvKorf6fGgcFyG8PD4JnsSFOn+ID5vi/cTz6KJr6jmexuvl/cb7l+B9RP1I7VUdfC5ASRCRw86/efn0Z4QLXLofuqFdPGqiCkA+j4eEhXqv/f74faDrqD0kmC1LHwWjtqnPBc1NonT+zHHRpT6D/Bniw9lIEAWDcfFCz4/6Z5cLcx6N4vcLsBc3CQZb9n9KaId9iDqKLi2I1qxZg+nTp2PixIm49dZb8cknn+CGG25AKBTCZZddhrKyMgBAYWFhwnWFhYWxczqmTp2Ku+++u11tF4T2giJEm3aKIBI6hx5Zu1cui0RRVdeMvEzNmCGhQ4kyT5b/7kp06xZ/I09RGnrjDcTPcWdRNyFcHToHJDriVB45oOnpiXM06O07RS0yMxMnrpMjzqNQVD/ZEwjYb9pJiAFxJ5UcTb+/5ZAt7txTmmXZzm5TU9wRrqmJzz9qaorb5vfHh+Gp86zUleq4EFL7rr6+pThT5zNRuSQK1eFY6nAtLkwpMhQOx6+lbzW6xyNCzc0AvaPOykqMAnHBSG2jYYnUZnoOuI1UBo+2cMHZ0JA4fI18+qamuE30bBEUhUlPj0e56LnmzxDZQM8QF1IkEnnkLhSy0zIy4veERFxNTWKbqP/JFnVIIo+40Twsy7KfMVplrjHVo54lQtQ+RKNRHHXUUfjDH/4AADjiiCOwbNkyPPLII7jssstaXe6kSZMwceLE2HFVVRVKSkrabK8gdAQxQbQ7QpTm75pvW4S9l/RgALnpaaiqb8bW6noRRHsAFRUVyM/P72wzALScG2Q6p6J7s87fupOzq5anvi0nYaEOLSI/jUdMdLapc5/UukiMULRADcipQo+nEyRUyHHmwkWNjPHoiDofi/8msUkize+P22YSQ073IxptOT+F9y+PjJEo5HVS/6hDCEmokI3NzYmLKvD6qA7eJuo/Dg294/dMDVRwgWFZ8WFq6tAzspPKoXL5ZqfqM86fMRJuJMoJEmLUL2pdbu851OdCR7sHZ0QQtQ/FxcU46KCDEtKGDBmC559/HgBQVFQEACgvL0dxcXEsT3l5OQ4//HBjueFwGGGK7wrCHoYaIQoGuuYfF2HvpmdO2BZEuxoxoKCzrRE4f/rTn7D//vvjJz/5CQDgRz/6EZ5//nkUFxfjjTfewGGHHdYpdm3fHn+bT05sQ0OiU0vOsTr3gt6UU5TB77ffdPPoDr3F52VHIvbbdhqmRZDzzCMcBDm3fAgUP0cRmvr6eESIzqlRFcpvmlfEI0c0h4j6iKJJfFghxzR0UCduKCLERZO6+IQ6H4f6iNobCiWKkvr6uEjjLhUJU1pdj6IoNJGfIkPUHzRnixZZoD6pqbHLp2gilUcrsOmeIVU0U2SE5gPxiAyJEi7meDSR5gypCyrQveDRLYoMUVto3hKf18SH6tE3X3CChrGlp9srwalRIP5sAPFnnsrmkTcSvkD8PlM7GxrsPD5f4v1MCbpVHXR5uiBd2pM6/vjjsWLFioS0b7/9Fv369QNgL7BQVFSEuXPnxs5XVVVh0aJFGDFiRIfaKggdBQmiLbuXPA6ldel/xsJeiiys0HV55JFHYqMe3n77bbzzzjuYM2cORo8ejd/85jedZhd30Mmp5FEENS9HdfpNPpX68tnLy2h1DpPOZvrN85JQIdFCjjcdkzPOF5Dg4kaNcpiEkqmd/GW82j/qi3oeReEfWuRBTedtVJf8VvuG7iN9+H2lfHSO+oP6in+4cFH7kvebao9uDhptAEzlkA28PP7sWVbL8nXtpAgQXwyE+k89p/YPj8aR0OHRPdU+6ivqN953NISQp5vur+4Z5M9uSjE9iF7CV51M15Rpu7nxxhtx3HHH4Q9/+AN+/OMf4+OPP8ajjz6KRx99FIA9OXTChAmYMmUKBg4cGFt2u3fv3o6TSgVhT4YWVSCCaTJkTuh4eokg6rKUlZXFBNFrr72GH//4xzjjjDOw//77Y/jw4Z1mF48KqI4+f5uuu06d1E7OZG1t4gpmNBeHD8OKROLzROgtfnNzfLEEdZiTuuw2iS+ag6EOreNzWyKR+NAnHi0CEh1wdW4L5aGhceS8Ut/w6AL3KXX7C1E+HnEjWyhSpEZTKI86n4dHknRCVF3Egurmc7ooYkF5KFpGxxSRIQedR0CoPJpfQ/eB26gOJ+Tlq0Pq6N5QJKemJj5XiOYC8ZXvePSJ6qalsPkzTM8Glasu4MGP09LsKBf1O19Vji/TzkUULfBAIogiRXxOEh3zIXb8N/Ubz6/u+dRm9pUhc6eeeipeeOGFDhuHfPTRR+PFF1/EpEmTMHnyZJSWlmLatGm4+OKLY3l++9vfoqamBtdccw0qKipwwgknYM6cObIHkbDXQhEiIiRD5oROQDZn7bp069YNGzZsQElJCebMmYMpU6YAsLeq6KwV5oDEiebkjPF5E0DLoWtA/Dw5xXyoEJ9QHgol1sGFCs/HN/jkw5lIGHFxEgwmDtsD4oscqPu+8An9JARI2JCjTg4td0opD1/WmUdXOLrIEO83KpMLFTXaoa7iZ3Kg1bp8vsRhh7QoAxe6vN+oD9QFCWjYmgpfYhuwRQIXneqKePybO/zq5qTRqP2br+ZG19F8IXUvHzXCo1uhkPqE5hvxOUy6/OoCFHxVPXpW6DkmF1ad36Zew+fNkfDkw/M4VEY43PLfSsrYVwTRvHnz0JjyJSmcOeecc3DOOecYz/t8PkyePBmTJ0/uQKsEofPICqchMxRAbaP9P0NYhswJnUDPbPt1rUSIuh4XXHABLrroIgwcOBDbt2/H6NGjAQBLlizBgAEDOs2u7t3tN+6NjXZkhyasE6pQ4c48zUXJzIw73HRMZGTYK5PV19sfevufnR2fq0GOMd97hs7TW35a3pjvnwPEnfGmpnj95Jiq0NLJtA9OWprtiDY1xefCEBSxaGy097Gpr4/Pf6qtTRwCxeeHcIddJ5D4KnR8Tgt38rkY1Y1s4iuW0RwXguZvZWbGIxzRaHyeV25ufE4O3T++LDT1G49Aka3U/9x2dSgbtY36pro6biefx1RXFxdMWVl2uVQW7UlE/UY2k1CtqYm3ye+3V8Dje/fQnDUamkZ9SfnVuUMkdHi0huabBYP2M0wbsxL0nKrDG+kFAY9E8oiRuuFwba39nZVl38fcXNmHiNOlh8wJgqCnV04Y67bbf91kUQWhM4jPIerYl2SCO/fffz/2339/bNiwAffeey+ys7MBAN9//z1+9atfdZpd5CCSQxwMJi4WoEZnaLgWoF/WWV0MgaI5lI+//efDw1QBwO0BEodskYNNxzxCYZoSwdP53jJkjzpMTRcJozT1LT4fykbXmL6pPHUJboLPueFREfW8KkII6lcetVD7lNL5Pk2mKJdT9EsVQ1Qvbxcd8+cjENCvJpeWFo/IkDjmNvC8avvV4XKUn1al0z0X6rE6BJLS1KgjLeFN/xbUaCp//rnYpOeZ20oClC8skfKA8b60D9Hy5csd9/gBgKFDh7baIEEQ3OmVHRdEsqiC0BnIogpdl2AwiJtvvrlF+o033tgJ1sQJheKT6/lbehoyRm/KgcSFBfhwOb5CGDm+5BzTcDruUNO+LnSOVuMie/jwOx6VInu4TXxSOpWv8//IJooC0Ia0QNxOgqJZatQGiF8TDCauLqZbZIDXzYe78aFzalSJ5mBxJ5vKoOP6+ni/0+R8jjqEjqIgXIiQOFGH45mEFsEjHxSF4XXl5iZGl/imp1wEh8PxuWVULr9H6vA9nQjkCznwPuBilj+zBA0DpGeovj6+Nxahe374nCv+jPPz1E56EUArx5GAonLr6mwb6DnnkbqUrzK3L0WITjvtNFiaWVg+ny+2Y3lnjlEWhH0BPo9I5hAJnUFPmUPUpXnqqafw97//HWvWrMHChQvRr18/TJs2DaWlpTj//PM71Taai8J9J3XvFoKLDu4EquXxzVH55H1VtOjcE74xqQqJIHXJZMqvSyfoHN+Dh9ejztlxcp2ozapw4cMMqUw1QkMRIPqttlUVALrohu63bkI+j4yp4pQLUqcICkUudG3iIlm9jufnizboAhJ0Tr2/Tqj3WBd5ojJNYk/XNzyqw6OYXHhTpFJdmEPdx4jPeePCmj9bamQtpexLgmjRokXo1atXe9giCIJHEgSRRIiEToCewe3VjbGXYULXYPr06bjjjjswYcIE/P73v4+9pMzPz8e0adM6TRBxp4xPBOcLD/C8ukUTMjIS94GhoUEUdVH3aaFvWrCAT74H4pP4ubjhk/tJdKhOM9nMFwjgESaKlNCcD9VZ5kPAyPlVl6pWBRJFvNQ5RNw2vjAERVXU/WgonQshdaEF6k9+TPdCvad8DyASu9yxJ5uzshKHdXFRAth9ySNeNHSQhrTx+WI8YgIkimKyhcoNBuMLWfDNU7n9vEwuUOlb3fSX9w8N1yMsKz4viS/IQeXzxR3UxScoEsqHyYXD8Sgn7cfU0BDPQ32UmRkXm2Qb2UrXUaSI0tpt2W23PF2QpAVR3759UVAgu/AJQmfCl94OiiASOoEeWbZH0BiJoqquGXmZ7bFkkdAa/vrXv+Kxxx7DmDFj8Mc//jGWftRRR2mH0nUU6lAe9U22uk8LwZ1ode6FOieFnEgusPgk++bmuIOsRp1owQBVcPEhelQuFwqq08vLpWFwVD6fB2J6O89FG9VJS0tzcUN70lD55NirQ+hUgcO/1Xrpm7dFjYrx+8mHM1JfBIP6IY1AonDQRe14fepwRN1cHl06P0/3i88T4+KRz2mj54tHWug5oWdDfWbVJb65COftpz5QI1FcjPH8/DnnUR/VBn4/+ZBSno/O80gbnZONWeN0TasEQXBEhswJnU16MICc9DTsqm/G1uoGEURdiLVr1+KII45okR4Oh1FTU9MJFtlkZdnf9LZafbMeiQC7diUOC+KrwfEJ5yQwyFnkkQggPrzKsuw35xR9UCM4Pp8ddaLrgcTIC19NjuawUP1ZWfb5nJz4CnHkmNJKYXyomxox4vvnVFfHVwGLRuNv8PnKd3woFu2lxKMZlmWXwYUEF5O0ohqPTvGoER9G1dgY70/ueHPxwVeR48445aeV09Tly3l0DWgpElSxRtEeHo2iMkk8qqKKR6nIbtqziC9uwUUMiY9wOPG5JBENxO+RSXRQPiqDz2vithE8Sqh+KNpDx/T80XLkZDefE0TX8dURKaJI9yIzM7FvUsq+EiE66aSTENKtLykIQocigkjoCvTKDtuCaFcDBhRkd7Y5wm5KS0uxdOlS9OvXLyF9zpw5GDJkSCdZFY/eqJCTS84/F0Pk9NMwpPr6xDftupGadB2Vow6RI/gwOdVO+laHeKlv2vmQPnI4uZDgw7XUiBbZT5u98mFkZB/1B+1fRMc05I3EAOXhyzLziI8qhHg7KA99U9+TCKRvEklO8MUoKDLHVzXj4oAPc+THfIEJ+k3n+FBGcvhVgcBX9uNtoQUWKFIHtFy8gA//I1uoTbo5aQQXt1QuiV7daohcMNES7XxulU4z8L6jY/W8GjXi6fxZ51GzlLKvCKL33nsPgL252+LFi/Hdd9/B5/OhtLQURxxxhIwhF4QOQuYQCV2BnjlhrNlWIyvNdTEmTpyI8ePHo76+HpZl4eOPP8azzz6LqVOn4vHHH+80u2i1NBIofIhcfb2d3tCQKJBoVS56y83FRXq6nbepyS6X71tDAoBPwudD2+ibD9vik9i5GKIVwUhE0CIF/M28z2dHivh15MSTMCAnnhxnWhKcHOxg0G4/X0WOIkPUPySAaMU32s+JhAK1m6/IxgURbyNHjQ5xQUnXkcjhqIKTr3xG0SOKSJADnpmZOIyPoi7Uz3zxBMDOH43a+0WpbaNVBNX0QCC+uhyV7fPZ35SfLzbBo0/0jAGJgpPEEJ9LRW4vpdF11F4+74n6KxSy20LPWXa2vUcXnecLLnCBzBcUUYeVmhYkUT88nW8AmzL2FUEE2KLoyiuvxLp162KrzZEo+sc//oETTzwx5UYKgpBIoiCSFxFC59BLlt7uklx11VXIyMjAbbfdhtraWlx00UXo3bs3HnjgAYwbN67T7CLhQs4rj3CQU88jRDRMCjBPO6B8XKzwyfp83g1gO5Q8gkJOMZVPkShetrqBKF+EgUeNdAsiNDTERQ3NaeEbgQL2b8pXVxfvJ1oqmoQgHzbGF4hQF2MwwaNQumFwahv4Qgv8HEHDGXnfU39RG6hePg+Ljum+0PBJgjZmJfuov2tr44KNHHqql0cPSbSRPVxg8mP68IU4SLSRbfRs8nlHXJRz+NC9hobEflaH4FEbaBl2dUlxNcLHo2X00gCwr9fdT4p2+Xzx/qU66JjmSKWUfWUfolWrVuGcc87B8OHDcf/992Pw4MGwLAvLly/Hgw8+iLPOOgtffPEFDjjggPayVxAEAD2yZMic0Pn0zLY9RRFEXYfm5mbMnj0bo0aNwsUXX4za2lpUV1d3icWQamvjEQ0uhMhR5UPcSDjQMC1yDvnEcyDu/HEnlQ8ha2pq6TRyJ5hHdMhPo/ppCByVS9fwuTvcNi680tJsx5UcdXLg+TBA7jdWVydGtmiOEH2r4o6vkqbui2OKFvChYeryztQvqiBSBR8fFtag/LMn0Uf3mMrkkRjKx1dIIwFEIoGOKeJHfVJV1XLODZ2vrwcqK+Pzkuh+NDcnCku1bbQPFN0LHjGiZ8Gy4jZRpI7sp2dG3WCY8lH/8eFwDQ32XDmKfPJ9iVQtwZ9bHrnjQwTVhT34Pff54nbwc3RNynfJ2VciRNOmTcOxxx6LuXPnJqQPHjwYP/zhDzFy5Ejcf//9+Otf/5pSIwVBSCSU5ke3zCB21jbJkDmh04htzrqr0SWn0FGkpaXhF7/4Bb7++msAQGZmJjLVcTudxIEHxiMfNTW201hREXf6mpttYcDf+AO2s5idHR+GBcSXDqbFC2gORlpaXHhlZdkOX35+fHgbYNdJQsvns8/zeSX0TUO9qE56m04T8qlM6l41ysBXhuNObV1d3H5yVMkxJ+edBFJtbTzCREMIueAjB5vs0kVzKLrCJ/bzYX283/kwOYLuB907Ij/fXpAiNzfeBzQkLhSKL7qQnZ24HHRubnxIWzRq101D4gD7mPoxGrX7KxKx28AFFg2lo8jajh3xIXpkC/Vdba3dd8GgbTO1k9JJ7GZlJYoq6hd+fykKRsM2eT3Ux/Rs8IUMSKCEw4kLG+TmAj17Jg7RVJcYJ6HYqPypJUEWCMT7mV9D1/Gl7anu/Hz732FK2VcE0bx58zB16lTtOZ/PhwkTJmDSpEkpMUwQBGd65YRFEAmdSmxzVokQdSmOOeYYLFmypMWiCp3NiBG241ZXB5SX22/8v/vOPkeLD+zYERdDu3bZ5zIzbeeNBBA5lhkZ9nH37vaHHMpt22zRQ0O0eve2rydneutW24GlMrt1s51UGpJFPl1+vn7iOY+uhELx1fOAxI1HfVDWwY5G0eQPo6rKri87y0JTsy9h6BYNmduyxXbGq6riYqm5Od4/5NCnp8ejHzSEjYZKAYmCjIQEOfIkKihCwiM1VD596J7wifn77Wffg+Jiuw8pepSdHb8vmZm2s8/nW2WEIgmKN5Lbzd5vJ1oH+P2oi4ZjkQsSMzSfiqJmPMrl99v9tGXL7vIz4jZSBK2qyn4mSEDTPd21y+5zEqA5Ofb9pPMVFYmCiQQkreTWo4ddJ+XZssW+lgQORYdycxP7vnv3xOesqCgu5sJpkbgqpOenuRnIzoaVmWU/V/zmhEKIRH0I1O6Kj4fjqjg3PfFBrqqyy9tcC19lpfkfbGvYVwTR+vXrceihhxrPH3LIIVi3bl2bjRIEwZ1eOWF8W16NoN/DFtuC0A7IHKKuya9+9SvcdNNN2LhxI4YNG4Ys7rEDGDp0aKfYVYQy5OY3AUXp6NcvC5WVQK9e8YhLbS2wcaPtWNbW2s5qVpbtJHLBk55up2dl2c53QYF9nibxb9hgi57cXFt4FBfbvwHbRyRRkZtrC7Hs4O6xbZmZsPyBmHDw7djecoIJFRJTCc1A2e5VAXhIiK9gwMa7BdPT0YNUSH09goEAguoKBJnpKD08Pyae6upsx7yhwRZ7FNVobrYvI4EQjdqXNza2XM68qsq+nkfdKEpFER1apKG21s5PmoULIk6fPnb/9+1rO/TUTQUFdnpuLhCINtnGVzNVQcbvdvoD+fkI+HyxcEUGhTB2K8u8UAgIpgE56fEHgK+ikJaGprQMbN5sn+Lig7JVVtpm0PNExW/bZpuxY4fd7p49EyNaGzcmRs9IS5DQKShIjEpSJKhvX/u7utq2qbg4PocsJ8fuL7IxOxsIVm0HauuBHfX2Da+ra7lcYno6fFxZVlfbNzUjA4G0NLsRPORDqpJuMKnZnTvj94ILr1TQToLo/fffx5///GcsXrwY33//PV588UWMGTMmdv7yyy/HE088kXDNqFGjMGfOHM91JCWIqqurHUPvmZmZqKXlQgRBaFeKcu3XYFlhEURC50ARom27RBB1JWjhhBtuuCGW5vP5YFkWfD4fIimfOOCR+fNj49dyCgqQk5WFPsP6x4RGdUMQ3bvHh4pVVNjOY3a27agCti/VrRtQWGg7vvn5QLi+0n41v81+zZ934IGo698DGbXbbSfx220JY5+Ks7PtOtfsdtK3brXDLNnZ8IVCCGZm2nk3boyPhQLi3i6QOMGHz/Knc3SejKaxcDRZSZ2dn51tl0/hlexsBMNh9MjPB7Ky0KeoCMjOxq4Dc2KRo9pau8raWvsyEkR8TgxVRSKQImd8KexoNB5Bq6+3yyZ/m0evqqsTh2wNHGhHY4YMAfoUNsUr/e47YNWOeNhEVVf0obFy4bDdD1xx0ZguCnmlpdkPA21oRIJqd5grmJ+Pfn372mlrtsTqC6SnI5yejpzcXPTpkW+f31xtC4eGBuQUFgIFvYBDClBd40N2ZLdy2h2WKj1uCCqrAzGTabglYPd9nz62CRUVdtH0iAwebOfftMkWYQcdZF9TX28/t741q+P9sKbafn7pTQCNT6TQoDoWk8Yobtli9y2JpK1bbSFFoVES5KTwaOzn5s3280jCMpW0kyCqqanBYYcdhiuuuAIXXHCBNs+ZZ56JmTNnxo7DfOyjB5JeZW758uUoKyvTntu2bVuyxQmC0Ep+cdIByMsI4uyhRbius40R9kniiyo0xpxtofNZu3ZtZ5ugpWbDBgRoR87m5vjOprsFka9bN0SjYfj9tqNdV5e4fw9tAJqRsXvIWUYEzevL0bx9u/2qv6bGdijr6oDCQtRUV9u/t261QwT0VpzGyNFYs/Jy20Gk3Txzc+1Kt22z81RV2Q2gsAGFU2hyS5091Cu2UyjtpMrXDCfnlyYXAYkrFFB4ob7e7pe6uvisd3KQ09PhLy2F3x/gAZQE/5LmEWVmxruWfGuawE/NpMibZdnV1dbaTabVx2jhgNpau2vtFfjiEYicnJqYKK1ZszHexg0b7P6msW4U1qLl8Pia4pYV35SHT1Ci/qQHIBiMr1XNl1uj9MxMW8DW1toREFJ3ublAXp59PivLvpe7dsVFbk2NrWa2bYMvIwM1Gzfax9Sx4TDS8vJiNmVkZMSGRYZCQPP6zWhubER6Xh7Su+WiR48AgkGgZw/73gYCPnu58FXfAdEo0kIh1K6oBGg0lc9n21NeHm97Q0NcGHHBQuMEKcxFfUxjACsrE0U4ialdu+LXAfb92D2+sibVy8zxJRud8iTJ6NGjMXr0aMc84XAYRUVFSZdNJG3VaaedFltum8PfPgmC0P4MLMzBHece1Kk7zwv7NgU56Zh6waHomR1G1AIC8ue/S9DV5g4Rve+5p7NNEFLIqacWdrYJQlcjiQhRFb1o2E04HE46qsOZN28eCgoK0K1bN5x66qmYMmUKevTo4fn6pARRV33rJAiCIHQ8oTQ/fnpM3842QxAEQegCWPDBgvObMTpfUlKSkH7nnXfirrvualW9Z555Ji644AKUlpZi9erVuPXWWzF69GgsXLgQgYC3aQVJCaKu+tZJEARBEISuzfDhm+H356K52R7FQ5P1+TLP9E0vmvmKbnwpYb4HDA1foiFitKQ3wZfcBuy5Hk1N9tA7GjpGI7b4PkG08EBWlj2ya+fOxFXoaDpQKBQfAUbLSdPIOBoxx5dHJmjUFu1bw0eMVVfbo6GAxP1/1M1heRvpxfzukV4A7P6lkWrUZzTqj6/IRiPRaNNXvvEnDVPMygJCoRo8+aQdGcrMLIfPlxUri9pGixZQGg3ty8iIT20he4D4veHPAG8DjbBjayjEztOIRjpPddL9oX2I6L6SrdQXdXWJ86L4s8KfT26jus8TPQ+0XgS/X3yTWGovn85D7aFnhuzjQ0SpLfy+UDm0dHwgEB9hSCMQibq6xP6mzWu7dQOam6tw7729kSpM+2CpeQBgw4YNyKXVTpD8nB8O33D60EMPxdChQ9G/f3/MmzcPp512mqcykh/IB2DlypV4+eWX8d1338Hn86G0tBRjxoyRDVkFQRAEQdBSUZEFny8rwXFUPwR34Pi3Lo3WJyDHkdY6oPJoLQOCzpOTSlOAuNgA4tN4aCEudc0oLtKA+NoKXMQRppFEfN8fPl2E9tzhG6Xy/By/P163Wg/fQ4dsItHj85k3daWV9qgN5GBzR9vns+8nOeq0zw3teUT90NCQ+M03iOW2qm2tq0u0i4QLF6Q0VYj6UBXP6kJtXNxQv/E+4EuO8/7jm/Gq/U99y9NJuHCxRfl4Gn/ueB9R//FnSf13QuKPhJC6kTDl45sQk+iiFwjNzaldYCUZQZSbm5sgiFLJAQccgJ49e2LVqlXtJ4imTp2KO+64A9FoFAUFBbAsC1u3bsUtt9yCP/zhD7j55puTNlwQBEEQhL0b2vKEO03qN0d1llUHWnfMy+frGPDz6lt+dY43j1KpdtB5nfhQbef28CgCz6M667y9un5S28rL5TbxvYe4DWo/cVTRRceBQPxYt0Ch2s9q//BIkHqss0NXPpVrOs9t4O3kApfEkEkEEup5KksVLzrbVRGr3m/1/vBjggtRLo74s8LLo6iS2r+6fwd+f+Ky4qlecDIZQdSebNy4Edu3b0dxcbHna5ISRO+99x5uu+023H777fj1r3+Nbt26AQB27NiBadOm4ZZbbsExxxyDE088MTnLBUEQBEHYq9E5iuq3UzRIV5aaxt/im5wzNZ0PZzI51zr76a29zjnmb/VV23gena1OQsiEkzBTbdd98zbyqBWPxNDKc7xsPoRL10ZVDPL+4nnc4MJGvSde2mKqSxUYJpGoHuva6FSPeq0qYtV+0fWb2lbdMD6dIOL9Rs9kJGJ/a9ZIaxPtJYiqq6uxatWq2PHatWuxdOlSdO/eHd27d8fdd9+NsWPHoqioCKtXr8Zvf/tbDBgwAKNGjfJcR1KC6JFHHsFVV12Fu+66KyG9e/fumDx5MsrKyjB9+nQRRIIgCILQgXTr1s3zKq87duxoZ2v0pOrNsFPUROeQOTnBuuuchJRT/U6RBjc7dA5vKjA526pTrtpA9fMhZzQXyQmdOCC48KRjuoZsNZWpfjsNtXO61nTezfbWlu+lDLV+NXrEo0M8L79HlIdHO3VDBVP1XDm1oT0E0aeffopTTjkldjxx4kQAwGWXXYbp06fjiy++wBNPPIGKigr07t0bZ5xxBu65556k5iUlJYg+/vhjPPXUU8bzP/vZz3DppZcmU6QgCIIgCG1k2rRpsd/bt2/HlClTMGrUKIwYMQIAsHDhQrz11lu4/fbbO8lC9zfoalSInEE65vnUNPVYF4lwijjxdDU6ZMrP7XSLADmVoeLkMKo2uX1zO/g53TwnFXVBC1VvU4TISRiqfWpqkxql0UWRdM+ALtridK3uPC+T30/dOVXkqmWpQxW5DSZ0gtBkp+nfDf/WPYOcSES/SEMqaC9BdPLJJ2u3/CHeeuut5AtVSEoQlZeXY//99zeeLy0tNW7aKgiCIAhC+3DZZZfFfo8dOxaTJ0/GddfFt2y+4YYb8NBDD+Gdd97BjTfe2BkmxlCHKfFv9beax0kEqcdehIiTgNDlNTlzJkfeK07RB6c+ckpThQZ9qx+qS9cGykMrmXH4kDm3qIoXsepmv6k/TGJUh5NgMgkqfl1rnic1CueEFzHolK57Rts7KsRRFwcx5emKJCWI6uvrEQqFjOeDwSAa+fIZgiAIgiB0KG+99Rb+9Kc/tUg/88wzccstt3SCRTaW5fxGWhch4udMqE5zMkPPvAyD4iuMqde4Obs8QmQSVKrNbnZ7EV2mPE7D/kx9RsteRyKJc4jU+pwccVWsJCNudf3jpQ38eTDhNGROFWBOz4oXnOzkv3WLeujayheIUBeLAFqumkjXp6fb316GQCaLlzJTHZVKFUmvMvf4448jOztbe27Xrl1tNkgQBEEQhNbTo0cPvPzyy7jpppsS0l9++eWkdm5PNeSEESbB4+U3L1P3W3espuuiD7prVcfarVxCnSNjipYkI+Dc8BqhMkWEdPno2+TIOkXO1Lpag0kQOYkX3XW6yItXW5OJ/iXbTl1+Po/IlJ9/00ddIITPPVKXDncTi63BS5kdGbFKhqQEUd++ffHYY4+55hEEQRAEoXO4++67cdVVV2HevHkYPnw4AGDRokWYM2eO6//hHYlpeJbbb7pWPXYaQsXhQkA3zMrk/LoNpVOHdZmGoCWDbhiZ7pypH536wGSPrl/4ss4E7WnkRYjqBKZbfzvhFF1yGy5nEoJehsy11l4vkUTdsEA1j5cydVEytQ2641Swzwii7777rp3MEARBEAQhFVx++eUYMmQIHnzwQbzwwgsAgCFDhmDBggUxgdQZRKMtJ+YDZkfNbdicmxPsJni4Q6mW5Sam1DJNIqs90AlENd3LtcngZQFDr23X9X9rRIauTq/i0ySs3cSQUx1OYkY9n6pnxGu0kuC2+Xx7zqIKHUHSQ+YEQRAEQejaDB8+HM8880xnm5GA369fqcwUDaJjNZ+b8+zmcJqcXsIU1TE53vycbogWlefFZpPocxNAun4EEpdaVoWmF5voPDnO/P75fInHqv3JRo5Mw8R0Q+WccLq/bhEgkzDiz55TtMeL2HESMU7lqteb7r+TMOdp7TGHaJ8QRA8++KDnQm+44YZWGSMIgiAIQttZvXo1Zs6ciTVr1mDatGkoKCjAm2++ib59++Lggw/ubPNa5eB7jW54iTaYokROzqRTVClZTI6vep5+myJoTsdUvpd8Jhu8RFk4XqNkbtEUNZ+pflWkmgQlP+/UNyabTELdi0h2e65016h1q/OGnPD6QkDmECXiWRDdf//9nvL5fD4RRIIgCILQScyfPx+jR4/G8ccfj/fffx9TpkxBQUEBPv/8c8yYMQP/+c9/OsUuvz9x6WbuZPL9hviHz1txiuLo3q6rm1ly+KRy1dHlk891DrZuFTCd06um6xxtiuA4zTXSiUG1X+iY95vaTl4W5aeFgynSQ5Eg3sZQyP4Eg4mrzIVCiWXzRSTUj9r3VLbTsEUvkRzqC9M5kyDU9beTAOT9yW1V93HStZ0/F7q+4t+69rphEoK6/lX3n5Ihc3E8C6K1a9dq02mjJK87ZAuCIAiC0H7ccsstmDJlCiZOnIicnJxY+qmnnoqHHnqo0+zy+cxOqC56QRP56Zh/OznV3OEyDRviwkdFHWamu1Znk2qX7k29UxTBlI87sDoBScetEUS0v5CuDbw/SMzqBC2Vz/tNxek+qO1W2+40z8erqNFFgnR16u6b2p+8PN0Qumg0cYNWLqJ1dnNaKxZ0fWKqoz3d9X1CEKnMmDED999/P1auXAkAGDhwICZMmICrrroqZcYJgiAIgpAcX375JWbPnt0ivaCgANu2besEi2xCIf3bel2EgwsiVRC4OdfcKW1ubnktOadqpIfKpe0U1cgOLxdoWS4/T7arQkR1UimKZRp6Rb9531HdvC/pfFqa7fBSJKexMbF8fp73u9oPTU3270DA3rcmM9P+8IhIenpiG9S28HQ1QsL7m/ehrq/UftT1Oz9nErH8uVKFjE6Uc6hc9ZlRhY76jNAxPVPUJ+ozo7NTZ7POVv5vhOfj7STB6vfH5w6ZBFNbiETcN16NRFJfbypolSC64447cN999+H666/HiBEjAAALFy7EjTfeiPXr12Py5MkpNVIQBEEQBG/k5+fj+++/R2lpaUL6kiVLsN9++3WSVXqnUx26Rc4uT6foBGB/6xwqy0oc9uUkRHQRAKDl8CVVEHFnWFeumt8tysOv04k8XT8RqkAKhRKFDvVFWprdX2o0iKI9JJyof6lvVPEVCNjfdJ8onSARqBuKqPav2nZdnbq+0N0zfq1OPPB+VD9eBBHvf9UeHTrRp4oSLph0/aBro1q3STTp8poEihqxTQX7XIRo+vTpeOyxx/DTn/40lnbeeedh6NChuP7660UQCYIgCEInMW7cOPzud7/Dc889B5/Ph2g0ig8//BA333wzLr300k6zi+aiAPohXqpoSEuLRyHImedDl9SIBjn70agtAtLT4+lEJJI490XnvKrnufNscvRVJ1vNy6NdqshSoxz0rfaP+vafRA9FcbjQoX6qr9cP29MNg6Njy2o5h4iiRFwQhcO2DRSJ49ERXb/xPtZFilQhRahRGQ7vbxKJav+rc4zUflb7m47pmeP9pvalU4RI1xe8nyhNd3/oW7f/k/pM0L8reib4CwFdf7aHEFLb75anK9KqLmlqasJRRx3VIn3YsGFodouVtYE//vGP8Pl8mDBhQiytvr4e48ePR48ePZCdnY2xY8eivLy83WwQBEEQhK7MH/7wBwwePBglJSWorq7GQQcdhBNPPBHHHXccbrvttk6zy+Ts6z4ccvx55IPycFHAr+OREF2Z3CZdRMD0dt6EyckzRX7UunW/dX2i2svbx9urq88JUxSCSGaYk5d7axI3/LdOPKnn+XVu17QVt3ucTJ1OzyN9J/NMuJXTUaj3wPTpirQqQvSzn/0M06dPx3333ZeQ/uijj+Liiy9OiWEqn3zyCf7+979j6NChCek33ngjXn/9dTz33HPIy8vDddddhwsuuAAffvhhu9ghCIIgCF2ZUCiExx57DLfffjuWLVuG6upqHHHEERg4cGCn2lVfH3+L39jozfGvrdWf10UYVHROM09Xr3OKYjilE3zeCI9M0DndAhG6lfB4O/kQQlMeNTqi5o9EEgUNjxBRxIf3K89Lw+rCYTvaFg7Hz9XVxdvmtMKcKQLC8/N+41EfSldtp990ju9h5CTuTELCLWKk2kHoYgBuQkAdMuckEEzPL33z+03PgKluyhsK2fVHIqkXJ3tyhKhNiyr897//xbHHHgsAWLRoEdavX49LL70UEydOjOVTRVNrqK6uxsUXX4zHHnsMU6ZMiaVXVlZixowZmD17Nk499VQAwMyZMzFkyBB89NFHMdsEQRAEYV+jb9++6Nu3b2ebkYDq2NEwMPomJ1QdmsY/yThdToJITefnnJxf0xAupzrVdN4O7hyrgsC0ShnvL1VA6CICfOgWXcOjSaahViSOAgG7DD6EzGmxBFPbdSJHl88pja8OqNqri/iZniVVaKnf/LdTlIqXzwWa07HT8+s1oqM+R14iZu0dLdrnBNGyZctw5JFHArA3fwOAnj17omfPnli2bFksX6qW4h4/fjzOPvtsjBw5MkEQLV68GE1NTRg5cmQsbfDgwejbty8WLlxoFEQNDQ1oaGiIHVdVVaXETkEQBEHobCKRCGbNmoW5c+diy5YtiCoeyLvvvtspdrm9nSdIIJkEkXqdk/Dged2G7Tg5q17OOf1WHXMdbsOc1LY7HVMUhaJDOrtprpDfnyh01LroOC0tMULkFgFyay/lNc3DMV2rCkDdOVMbeNlq9Md0j3iaGtkxzRJRBYrTc6H+Vv+dqP8W6HrdnDS1HG6/+gmFZB8iTqsE0XvvvZdqO4z885//xGeffYZPPvmkxbmysjKEQiHk5+cnpBcWFqKsrMxY5tSpU3H33Xen2lRBEARB6HR+/etfY9asWTj77LNxyCGH7BX7BOrEj8lpVp1RUyRHR1ucNd21bgJItc/LG3wvYolwc3jd6nMSH25w590UkeFCxFS3Ls2tLJ0oc4vKOIki1QbTsS5ylQwmkauLeqn5eH7e76bnhUcAU8U+J4g6ig0bNuDXv/413n77baTTUjMpYNKkSQnD+qqqqlBSUpKy8gVBEAShs/jnP/+Jf//73zjrrLM625QEnBxr9c0+fwtOb+K5s6cbAqR7I8+dL92eP6oN6jAoXfm6dumEDZ/Hw4/Vt/9ehjV5FRb0W+foqjbwVdToW53TxG2JROL7Ezmh6z+K+vHzpjaqackIWpM9pqiRqR7+vPE+10V+1Gt1z14yQ9Z00RyTqNHt32Wqh0eGdEt0pwIRRO3E4sWLsWXLltjwPMAeCvD+++/joYcewltvvYXGxkZUVFQkRInKy8tRVFRkLDccDiPM476CIAiCsJcQCoUwYMCAzjYjJZje9vPzumvUb6dhULr8pvK9RJfchox5GUpmKr89nFi+XDmgj9i01ok1RX+8nqe6nfpR94yY7oXT8+R0jZqntREgFS/RHp0w14kf3dA5Xd+1NuLnhX1uY9aO4rTTTsOXX36ZkPbzn/8cgwcPxu9+9zuUlJQgGAxi7ty5GDt2LABgxYoVWL9+fWzDWEEQBEHYl7jpppvwwAMP4KGHHuqyw+XchkM5RWbUt9CqQ6kbMkdRJn69Woabs8ujJ6p9uvL4wgd0PbfTFHnguAk5tRw6xyM+PF3tW8uKb9zK4fsRmSJGTiTjhHuJwiUjinRl6YSNLpriFAXUHZu+dYJbtcUkaNSPbh8ifu/5h/9z122U215CiJAIUTuRk5ODQw45JCEtKysLPXr0iKVfeeWVmDhxIrp3747c3Fxcf/31GDFihKwwJwiCIOyTLFiwAO+99x7efPNNHHzwwQgGgwnnX3jhhU6xSyc6TG/gCT50iZ83XaOKE+4MuokP3Tn1OlOd9M2dVVO0wq1Op/5Qof5RV+lzEn9q2+hbXXyB0mionPr236k/dX3eVrxG3NwEiC7yo+b1ao+bGOf5dBFJL9E4J3t15ZEo4vfeJP5TjQiiTuT++++H3+/H2LFj0dDQgFGjRuFvf/tbZ5slCIIgCJ1Cfn4+fvjDH3a2GS1Qlx7maUCiI0/Oo27ejVqGDvXNuC6d16ue0zmhquOp1udmF28bL99kj648XTQBSOwnv9/e54mXoe7Tk5Zmf8h5bmiIR4TU+urr7d/BYKI99fXxe6Y6/Lp+d+ozk0BWcTuni6Twsk2iyDQsTRWzJvGiE/I8Xb33uudLtZ1H/3TD0Ghvq2g0cS6R2q90LeVpakq8b6lEBFEHMm/evITj9PR0PPzww3j44Yc7xyBBEARB6ELMnDmzs00w4kVUEDqH0eSAOoket2iF7o2+l3bo3vjr7Hca9uZWJm+bk2hQhZvONnKc6ZiLJJ5HLcPvt8VSU5MtitzqdYuAqHalAl6XqQ9N4sYtv85u07Eu3em36dkwCSWnfLookE500n5TkYgsu83Z4wSRIAiCIAh7HrqoASfZ4Uq665yiDm5OuBdn14uj61Zusum6Y7Wv+Cap9Paft1uNxPFv+s2daCqH8jQ02GJKjTyp9nkRarp2J3PvTZiiOjq7TNeq+XViyct9V4WB7ll0arNTdM30rKvpps1gKa9pf6q2IIJIEARBEIQuwRFHHKFdTMHn8yE9PR0DBgzA5ZdfjlNOOaUTrEsenePeWjrr2vYmmcnyqmPs9VoaasfLSaZer3gdFqnDi006geEkpJIRVu1Fa+r1Mj8p1ezJgqgdHmVBEARBEDqLM888E2vWrEFWVhZOOeUUnHLKKcjOzsbq1atx9NFH4/vvv8fIkSPx8ssvd5qN6pwN9Zz620veZM6ZSGYoF2+DaW4PPzZ9VHtVu3V5dfl15ZrSTFEak13hMJCebn/U+r30j85OXR5d+5JFFyXk55ycdtM1XtC1V9eGVLbZqXzTM0PtCQQSBW4qUKOMpk9XRCJEgiAIgrAXsW3bNtx00024/fbbE9KnTJmCdevW4b///S/uvPNO3HPPPTj//PM71DbdMDl+TjcPhKd5HdamG65kcsi8DKlTz5nmb7hFH9zqVdN0mPpGh5vzmawDrhsC11p0c2VS5SzrniG3PGSD7thrXcngJIx0ebldbUEnUlMFzU9yy9MVEUEkCIIgCHsR//73v7F48eIW6ePGjcOwYcPw2GOP4ac//Snuu+++DrVL54Dq0IkNVRSZRA3lT0YomfKpzqJTuW5tUvOTM6yb32HKb8JNKLrNU+G2OLUhGjVvumnqL1NUSxWWJtHbFpHkRfCodunOudXRlvM6G7xEEb08c50RjZEhc4IgCIIgdAnS09Pxv//9r0X6//73P6TvHvMUjUZjvzsSNUqji9p4HXbjdI2pHJ7u1TbdNaZoEz+v/naKXOmucbPfy4eWVm7t9fwTiSS2kaIBpv5S26Trg/bGSSjy42Tukenee3nenJ59L33ltV63f2Om/mgrzc3ePsny/vvv49xzz0Xv3r3h8/nw0ksvJZy3LAt33HEHiouLkZGRgZEjR2LlypVJ1SERIkEQBEHYi7j++uvxi1/8AosXL8bRRx8NAPjkk0/w+OOP49ZbbwUAvPXWWzj88MM73DbVSXOawK6ba+LmcKtpyTrkXpxG1U61PfzbC6Y+0bVDN28IaLkPkWqXanNaWuJKdLSfDRdSfn88H23MykVRNBof/mSyuzWkcngYL0dXru4+OUUoTWWrxzpx69VWqo/s5fsN6fL7/S03MOZl8ev43kN70ipzNTU1OOyww3DFFVfgggsuaHH+3nvvxYMPPognnngCpaWluP322zFq1CgsX77c84sfEUSCIAiCsBdx2223obS0FA899BCeeuopAMCgQYPw2GOP4aKLLgIA/OIXv8Avf/nLDrVLJyS8kMp5Dqlwtk0T2dtSnuq0t7ac1qITBRwvc0O80JohcKmaW2QSssnMyVLzJSOuTeWaRK4XdNe6CT4gLmxTPYeovQTR6NGjMXr0aO05y7Iwbdo03HbbbbE5kU8++SQKCwvx0ksvYdy4cZ7qEEEkCIIgCHsZF198MS6++GLj+YyMjA60piVujphp7okun9sbfrfIgM4hdqsj2fO6NiTj6OvmkXh1oE1ROPXbJIrIyY1EzMOdWuPE6+o01d9RosgpjdL5t1M9bjgtqmC637pyTaLI9Czz350ZIaqqqkpID4fDCIfDSde5du1alJWVYeTIkbG0vLw8DB8+HAsXLvQsiGQOkSAIgiAI7Y5pkrhuMrl6judXf+vK1eU32eNms9e26M45iSHT5HmndpnEjO4at/5W7TL1Ox0Hgy2XafbaLre+MrXXqa7WkuxQxtagu+9u7dOVYepf3W/122v/pxKn+UzqEL6SkhLk5eXFPlOnTm1VnWVlZQCAwsLChPTCwsLYOS9IhEgQBEEQ9nC6d++Ob7/9Fj179kS3bt20G7MSO3bs6EDL4rg5uyanjqepv5MlGSfX9DbdzbH0YrOTUPJy7MURJnRRIV2ZTkO6QiH7wwWR3w/oHjM3waWim3+k6+9URopM9rY2r5rutc/5byeBrOsfJyGtq4vnDQTse+fwZ6JVJBMh2rBhA3Jzc2PprYkOpRIRRIIgCIKwh3P//fcjJycHADBt2rTONcYBdciRznF3GrJGv53ymIY1uQ13SmY4lM4B9nqNzul3s52j9hEd8/Kd5sE4OdO6fk1Li+cNBFq2S22f7tgJ3f3VtVOXv7Xo5g7p7PY6r0gt2wteokU6caN7RpIVdXQvU70nUDKCKDc3N0EQtZaioiIAQHl5OYqLi2Pp5eXlSS0cI4JIEARBEPZwLrvsMu3vroRXIeEWEdA5XfzYSVQkMxHeKSJkKps7z06T272KNzd09ZnEjXqdKZKli0JwUcRt9PlaiiJTW9oqkEx5WosXEeZ2P5NtWyrw2naTuA0E4r9THW3rjI1ZS0tLUVRUhLlz58YEUFVVFRYtWpTUwjEiiARBEARhD0edoOxEKt7KtgWdI6mLoADOywk7CRVd5CIZ5093nZc38k52uTn6TlEzNY967Jau+zb1UTTactlt+jjV49QmXVvaSqqGzznZ5faceT02lQ04103onkX1nnl5Bpqb46JFdz/bSjIRomSorq7GqlWrYsdr167F0qVL0b17d/Tt2xcTJkzAlClTMHDgwNiy271798aYMWM81yGCSBAEQRD2cPLz8x3nDQH28rQ+nw8RdYfNDsIUVeG/TVEknSgwRWCcRJGpTFO5bm1prTNrsllnt1OkiYQLF45eyiKHmM8J4mKI8nExpO5D1NycOAfFJIp0feAk8nTtNKWlClN0z61O0zkv0To3oa6zxyRonV4c8JUBeWSrPQSRl41XW7Mx66effopTTjkldjxx4kQAdjR81qxZ+O1vf4uamhpcc801qKiowAknnIA5c+Yktfm0CCJBEARB2MN57733OtuElKATGLpJ416iNV7P83wmEQK0THOz1W0Oj1OdXu1ta8RFJ0h1RCJ2ZIEPd/L7E4fMmWzUCRu3PKbzOmGVKqfe631o7f1ywst9bG19puGa7UF7RYhOPvlkWA5j7Xw+HyZPnozJkycnX/huRBAJgiAIwh7OSSed5CnfsmXL2tmS5HByLE3zXPh5r2W1xi61Di82mNJ4uurMu0VVnMqi307HyQwJM/UfDbNyEy70nYxgVfPoxI9TpKw9I0cqpiiklz70IqJN50w2uN1nU99EIu3TZ+0liDoCEUSCIAiCsBeza9cuPPvss3j88cexePHiThsy5+YQqr/VNN18I7f6WnNOV68uyqE77xQh4gJIFyFSMTm4bt86geTkpHP4RHteFk3GV1eZ07Wft1F3b52cfH7eTTh2lihSbdKd85rmdP90H94PfKELukem/lY/dC87c5W5roYIIkEQBEHYC3n//fcxY8YMPP/88+jduzcuuOACPPzww51mD81XcZq/wzFFiNpjuJKX6IdO9PDz/HdrxR+hCieeZirTJEDUvLr8buIxLc3emJULIr8/PmTOybk32eMUteLnTfN7KE8qRZGbOHV6DlUh55SH40UMqSvCOeXjNgPxNNV+EUSJiCASBEEQhL2EsrIyzJo1CzNmzEBVVRV+/OMfo6GhAS+99BIOOuigTrXNaR5DsvMyWuN0mYY5JVuWF1ud5s3orlcdSVPZusnzTjaY2uxFmOkEGQ8uRqPxRRXchrm5ib9UkSpR5FSum5BzSvMa3VTz68rR5dHlc4puppo9WRC1U5cIgiAIgtCRnHvuuRg0aBC++OILTJs2DZs3b8Zf//rXzjYrBnfO3ZxHyqO7hp8zpTvV47UMN+fO5KS6iTGn+pK10VSGUzvcIhbJYhJ2ToKvNWV3FVItuJzuOz/v9HyZruVpHQGfa2b6pDoqlSokQiQIgiAIewFvvvkmbrjhBvzyl7/EwIEDO9scV0yRElM++k0fNXqhXmO6vrNwc4S9lmEaRqfrR51jzPtcXa6blkSmdL/f/t3QAKSnJ0aIWkOy90IXHVGv9zJ0rbXw/nJ63tRruG2tqa81dibzb4KQIXNxJEIkCIIgCHsBCxYswK5duzBs2DAMHz4cDz30ELZt29bZZjni1XkyRVBSVU97YoqauOXVnfNyjVOUwEt0ifan4Z9IJL6ppxeb2oJXQeB1PlZbMUXmdGlt6Q83kaX7divD9IIBaLu4NdXv5dMVkQiRIAiCIOwFHHvssTj22GMxbdo0/Otf/8I//vEPTJw4EdFoFG+//TZKSkqQk5PTafY5TeA3vVHnk8TdFinwCr1JN5Wn2uJlcQLdNcnM1zHZyMt3WrhAXchBnVzP02nyPZ+Er85B4fX5/fYEfC/9r84hUm312gde5gKp0SYvkbPW4GSvW9tU+9Rnwe1+qvl4WTpbTM+dLoLWHrTXxqwdgUSIBEEQBGEvIisrC1dccQUWLFiAL7/8EjfddBP++Mc/oqCgAOedd15SZV1++eXw+XyxT48ePXDmmWfiiy++aJVtJqfQ5Aiq1zg5jF4WB3Cr360+t4/TNaZlkltTplv/eSlfFUdOdpIgokUUTH2p/jYJhLb0o+k+eb3nyZAq8aC7Z+q5tvaJ1+vaE4kQCYIgCILQ5Rg0aBDuvfdeTJ06Fa+++ir+8Y9/JF3GmWeeiZkzZwKwV7G77bbbcM4552D9+vVJlZOebjtkuuiHGmFRIxROJHOe16OWrb5559ETfq3T9aZzvAw1WuA0FEtnn865VpdWTlO8Oz4nSBVDvCy1XsoTDAKhkH0Pef5AoGW7Tf1n6hMeMTANCdNFr0x9pd4nXV+qZZtQr1MFmFO0keej307iBmgpRimNL7utPkP8Xqal2aI1EIhHa9T7EwrF76XMIYojgkgQBEEQ9nICgQDGjBmDMWPGJH1tOBxGUVERAKCoqAi33HILfvCDH2Dr1q3o1auX53JUB5nw+/XLSTsJIt2QLJ2jpQovNU1nj+5aXbo63IzbzM/z63TOuSoKqS26IWGqLbo9ZtR+i0b1fa8rj9tC9vh88T2I+D5EPl9LAWQq3+leqpvBUluTdZx1wy69DJ3zWpfuefD6DNFvtU90QlYniEKhllEWXSSPiyLA/ibRQ2mBQFzkpnoekQgiQRAEQRD2eqqrq/H0009jwIAB6NGjhzZPQ0MDGhoaYsdVVVUAEiMB6jwCLgB0kQBdRMDkAOuiCV6G66gihESaGrUgB5TaoLOZn9fVY7LbZAt3gtWyuIgwiUeC8pj6gi+oQEQiQGOjHVFoaoqn8yWWdW1Q5zGR8FFt1LVd/W36Vn87ldEakUXXq0LNJIDUa0zlmGynZ473lenfCqVzIRqN2veLIkT8uad7T/etqUkiRBwRRIIgCIIgGHnttdeQnZ0NAKipqUFxcTFee+01+A1e4dSpU3H33Xe3SDe9+XdyiHV4FTYcnbAxpeuiFbo6nI7d7Hez2XRsupY70Dqn2ySYdKLLZFtTkx2pMLVF7StTP+vKd0p3EkNdAV2fesXL82W6n2pe/tzqVgpUIWGUSryU2VX3IXLRuIIgCIIg7MuccsopWLp0KZYuXYqPP/4Yo0aNwujRo7Fu3Tpt/kmTJqGysjL22bBhAwD3IWimYxO6IVn8t26Iklu6WpYXG0xlO5Wpy2Mq23Sss4EwiQddREd1nmnuCU9vbLQdWSdnVmevbohYWz66YWVu/e10r1VbTXiJMDr1hVq3OkTONPyNjkMhfbt5Gh8uR8MZddeoQx1TiSrCTJ+uiESIBEEQBEEwkpWVhQEDBsSOH3/8ceTl5eGxxx7DlClTWuQPh8MIh8PastShRzzdhCokTOd4+aZ63UhGhKhCxBSF8eJ8OkUJePl0rIuAJXPM66Dy1A9Pp7ymvjX9NolAkx0m1EiW+ls3nE19zpLpR7cIpK59puvU58TpW9dHpj7T5acFFQB76BwJWF5HIJC4WmAqkSFzgiAIgiDsE/h8Pvj9ftTV1SV1XTAYd8T46ld0DLR0YMmR4xPvOdzRUx1fnofelqsirC2Cx7RIhNPqdNxhVCM6pv5QbeJtpbr4PBIeGaB8vDzTxzRsUY1WEDQ539Rn6iILugUDuG0cXV/ohs6pgk29Xifm1GdFd71JGLkJN/V60+p/6rFpcQVK4/1M0Tu1L0nsqM9tWlp8XpHfb/87DIeBjIzUixMRRIIgCIIg7JU0NDSgrKwMALBz50489NBDqK6uxrnnnptUOTRch36r5/i3zjlVBYTbG3f1elN5TqJIPa8TSibRokYsgETn38mxdmqzSfCp9dOxkxOvs13NT+mmqIJat8kOUwREXXyB263aqKtbt+iA6RpdtEgVg07n1PRkxBH/beoPLoa4oHF6xgh1jyidDSSaeCQplTQ3u5fbVTdmFUEkCIIgCIKROXPmoLi4GACQk5ODwYMH47nnnsPJJ5+cVDk0v0F1JE0OOP3m3zx/MgKIHFj+BtspkkPn1Xr5deqKb7r6TUtvqzbq3qyrw790gkjXD6ZIj1o2kLiSns4GnZ26snROv3qsc+Ip3RRFU8+bbDS1Uyd2dM+fajd/ZtR8QLzfdJE8jkmAmWw1iUuK8liWXiDR0uj0mw+bo7yUTqLIqd9ai0SIBEEQBEHY65g1axZmzZqVkrLUKAN3Tp0iA04OtBoJUculY5MQUR10dbieKjJ0Diu/1iQM3ESbiu68rk4vmIbp8fO6tNbU1RZ0Q9ecjr22xQ1ThMh03lSXSeSrv3V1qOV4eT509auRn0AgcS4Rker9hwgRRIIgCIIgCElicja9OISmN+rNzS2jP/SWnc4DLd+0e7XTi+OuE2CmCITb3CiyWRdtMGGKsKj16xx10/wbnWPN63MTDk79ZooA6SJHunKiUeehWE79rA6BU+8T7xvd8Dz+2ySS1f7lGxHze6F7XtS+59FCIC6CKEqkwsVPJGIvn95eYndPFkQdrP+TY+rUqTj66KORk5ODgoICjBkzBitWrEjIU19fj/Hjx6NHjx7Izs7G2LFjUV5e3kkWC4IgCIKgwzQsy0QyYsUp3fTN85nOqbgNQXNy2r2QTP8kc22y5ap5TREFnXhx6gvdM6CmO+Vxym9qZ2ujRqbha06Y6nfrC7c28U1wSVDReZ1I1V2rLpveHsJEtVP36ar7EHXpCNH8+fMxfvx4HH300Whubsatt96KM844A8uXL0dWVhYA4MYbb8Trr7+O5557Dnl5ebjuuutwwQUX4MMPP+xk6wVBEARBIBobE1eZI5ze+qurmKm/TUPmnDBFLLxEMnS/eZrT0Dw1Hz9WHWlyeHWRJJ1dTm3W2c1XKePn1BXd1IiRGm3gdevK00XodP2h+1bb4CR2nMS26ZxThE6Hzmb1WI24qav78bL4s8IjmtwmXeSIng111b5w2I7+qKjRRZ/PFiX19akXRV76sz2EWCro0oJozpw5CcezZs1CQUEBFi9ejBNPPBGVlZWYMWMGZs+ejVNPPRUAMHPmTAwZMgQfffQRjj322M4wWxAEQRAEF9wceS9v6E1DjHRlqAJDLTMZR0033Ex3Tk1XbUu1c+glqkZOa7LDplo7zMpp2CDZYyrfJGK8HrvZo17j9HyRPam4b176Un3+dXWqgslJtHUEIog6iMrKSgBA9+7dAQCLFy9GU1MTRo4cGcszePBg9O3bFwsXLjQKooaGBjQ0NMSOq6qq2tFqQRAEQRAyM+OrzDU26iMiHHpzrntLTuf5Ny9L92ZeFQJuUSY+x0gXCVGXi+Zv+3XzQtT5I7QvkilCxKM4ujlEHN1qdqrdumOeriub8vPVyQifr2U7+UftB93qaNRWtR91x05RIjW6pUbW1OtUkWHap8kUuTSJYV0/8rbzb6BlutpXaWl2n9PiCBShowgR5QsEgPT0+Bwibhf/t+b32/lCISA7O/WLK+zJgqiVer/jiUajmDBhAo4//ngccsghAICysjKEQiHk5+cn5C0sLIztmaBj6tSpyMvLi31KSkra03RBEARBEBhuw8/4OafzpjftuiFKuvxux2p5umFPuvrUspzyukUL3IbutcbB9CIudZEH015EralTl+7Ux7q8unK83lMv9rnd97bg1h9ent9k0lRI0KYSVYCaPl2RPSZCNH78eCxbtgwLFixoc1mTJk3CxIkTY8dVVVUiigRBEAShHWlsjE+6bmyMp+vmx6hvy01zQExDhXTzMNRzpsgTP+8lGqC7hp9XI0J8hTGCR7Uoj1q3biigqT90glNtM49UqO3l0SmKUqhiiOYQ8brV6IrumFBX/dNFjHjb1flNpvO6+6lrv3pebYfuHE8zlaE7Vu85t0WdW0XRH54nEkmMEqqRxkDA/rfV1BSP+tDiBepmwBTta2pKvTjZkyNEe4Qguu666/Daa6/h/fffR58+fWLpRUVFaGxsREVFRUKUqLy8HEVFRcbywuEwwuFwe5osCIIgCAKjuTlxFSpCFURcVKjnvaB7E+1UHxcFum9dGdQenWDhDq2uTF17uCDS5XMbmqU77zTky9QmUxo51+oqZRRl0F3DHXZ+THZzgeMmPE19oUYeuPAyRSV435meLdUeUxudcOpbfo4LOTdxpmuLKiR1gpzw+eJClgvaVKET+7o8XZEuLYgsy8L111+PF198EfPmzUNpaWnC+WHDhiEYDGLu3LkYO3YsAGDFihVYv349RowY0RkmC4IgCIKggabuehEsQGJkQXViCV2ESDcfiedRoy9OK96p5fKy1LpVu7zM6+FOq5sI1EUmdMPDdBESvvcS1efkbJONaWnx1QEpEsHLpTlhuj6hj24+l65ut0icOkdI7SunaI5ahynyxs/x8k22mepTbePPMs+ni6xRvztFSUl0qwLQ1C/cBooH1NTsGXOI7rrrLtx9990JaYMGDcI333yTpHXOdGlBNH78eMyePRsvv/wycnJyYvOC8vLykJGRgby8PFx55ZWYOHEiunfvjtzcXFx//fUYMWKErDAnCIIgCF2IZKIUXspoqw1e8+uiAzqBpnNIvdjhJhB1+XXiyovdbrYkA48QtaZefo2Xtuv6QOf08/O68nQ4RTVUAeokvJwwiXqnvIQu+qP2i0mMqf3b3BwXsqneE4giwG55kuXggw/GO++8EztOU982pIAuLYimT58OADj55JMT0mfOnInLL78cAHD//ffD7/dj7NixaGhowKhRo/C3v/2tgy0VBEEQBMELOudXF/2gY11EhL/xVq9R36ar16tzTdQhc+pvtQxet85mfg3Zoa5Yx8/ryuf16Mp1+21qg85u3n613+hD8050iyqkSqSa2uulDl1fmu6ZLjpFqCvhqWWqz456XidAnOw3iSMu8NyGdKoRIlU0qZE1mr8XiaReELVHhAiwBZDTVJhU0KUFkeXhTqWnp+Phhx/Gww8/3AEW/f/2zj0+qura479JJpOZZDKZPIAkQnhYeclDhZIbqOBVeoFrESofH0gVrIq28BGLD+T2g8Far0qv1lat9vbegh+19dH6KlerFAEFERAEtGAIGHlIAkIIeU4eM/v+cVhz1tk5M3mQkEyyvp/PfDJzzj777L3Pycz6nbX22oIgCIIgtIWWeIXsjOLmnvbrT+ztnp7bhSvZ/Y10rF35SPXydkXybuhlIhmSkbZF8wpFqiOSJ8au/2319OihW3ZjpderX6NInyNdD7u+RPLq6YK6NeOr96Ot+/U2RuqP3n9eRh8Xu/tIfx+tT+1FawSRvuRNtPn9RUVFyMnJgdvtRn5+Ph555BHk5ua2R5PDdGlBJAiCIAhC90Cfq8OJZCTyY/V5GHb18G12T9DpMz9ffb11vz7nheb36PXp3qlIQolv48frbbQTSi0xYu2Ehl39duKNZ/vj56X95G2LdF79ubXdGNF7uobRhI0dkQSsHjKnHxNJUETaZ3eOltLSsEE70cNf/Jrz+y9Skg5exq5+IHISg5aEt7WW1ggiPbtzQUEBli9f3qR8Xl4eVq1ahSFDhqCkpAQPPvggLr30UnzxxRdISUlpp5aLIBIEQRAEoQsQLQQt2jwOu7J2+yOFqHVV2tJGu5DD1noH2nNsdK/R2Yx/e127aCGOLa2/JR6kaPdpNC9apDKRxFq06xvt/6Qj1yFqrgwAHD58GD6fL7w9kndo2rRp4fejRo1CXl4e+vfvj1dffRW33HLLWbeZEEEkCIIgCEKnohujdnNddI+MPhckmschWiiZXb36MdFEml2IH99u5y3R99vVHcnDZHdu3WNlNy6ANXtZpH7xc+gvnmWOPETNGf3NhbNFEjrRhJRd+/k4R+qbfq0j9fdsiXRPNLeN77O7B6J5R/X/B7v6OPHxnesh8vl8FkHUUvx+PwYPHoz9+/e3oYWRiYFnJIIgCIIgxDrNGUq68U3b9H38Mz/Wri5939k+/efYhWJFC8Gy2xdNTERqU0vHpjnjviV1toRo5ewM+JYYzXr5lmxrCy31CtmJw0gvXr45ol1/uxffF608rzuSZ6m9U25Ha7dd+9pKVVUVDhw4gOzs7PZp9BnEQyQIgiAIwjmhJd6blhiakcKEWhIeFu34ltQVzRtlJ5KaO4de1m489PfRxI+d5yxSO/Tj9PCt5gRVpDlEzW1rzvtBZaLVEW17pDHU+6R7lXg2Zztvnn5uu7o4+hys1nqKoo1TJA+cXb12njal2l8UUUrv5sq0hnvuuQfTp09H//79cfToURQUFCA+Ph6zZ89ue0NtEEEkCIIgCMI5pTmDNZoo0ssTdkLFzpDVDbJIgoC3x25ba0OzIokLO0M6klcrkveMDHl9HxnkfD9/2S3nwgUjlYmPb7owKxnV3NiOJr5a02e7z60JiWupIIq0X29fpGN0AUnH2Rn9zY2PXhc/xq5Mc7T0XO1JR6xDdOTIEcyePRsnT55Er1698L3vfQ+ffPIJevXq1faG2iCCSBAEQRCEDqelRr7dSzf49Xp0MWQXnqMLn0iiKZJg0g09apNdBjDe5mjijLezOW8MP6c+fvrcICrHM+Tx8XS5onuAqM1Op1HW7TZeCQlmmYSE5kMF7erV264LHUJfH0nfzq+j3j/9XogmiHTxF0kY27WluX5TZj39r91xdqIykhiK9j+jE6mNnZ1UoaW8/PLLbW9QKxBBJAiCIAjCOSGSlyeScUcGqm4ER6qLl4lknEVbuLU1ngu789t5DPQ+tgY7b5BdfbpBHM2L0tpzA2Z4FRdEdvW31qPRkhBKu+2R+tcSD5FdWJzd/WcXMmcniKLdY9GuRzRRRGVbKh50sd8ctChre3uKOkIQnStEEAmCIAiC0OFEM9ijhXTpHhA7r49ONEGke5DsjGfdIxGpfCShE03A8PLkwYlURyTD3y5bnO4hitQ3btzbGfx257ODe6HsRKhdCGNz2I2X7j3RRYt+vJ0HqTkvCj9nNKGtr6Vl5y0Khcwxoc88dLGlHia766ePaSSRqF8Lu7FqbGx9+FpziCASBEEQBEGIQiRBZPfShVB7hMwR0QRRJMHDjWE78QZYjWVqMzdI9fk6kbwFLfH80LjodfPxA8yFV/lis/x4mhNEf/VJ9vHxRsic0wkkJhrvCd3ToveNLxbanNfH7hrbibtIwsZOMPHtdmPD221XbyRhxLFbbJj/1cU0vfSwzGj3qd32SG3i46Afo4tIO5F0toggEgRBEARBiIJuxNNf/qK5LZEEEUGZrOLjrUZ8fLx13gxg/2TcLmQukqGmCxcqZ+e14iKrJYKIH29nqPJzcGOdxonX7XAY/dfLhUKmMIqLs5aLjzff8z5y3G4gKQnweAxRxLdz7w0fVztviF63Lj4iCRJ9bPRx42LP6bT3EPFj7fZHGmc6P+2nPvI+6H3jY8IFkJ0HzU64Rxs/3u7m0NvA7z/yDEUSem1FBJEgCIIgCEIUuCDixllzQoheZMgDhgjSDXkiFDL2B4P2xlc0QWRniNJnOo7CoXTDXDewSYw0NjY11O3azMdDHzNdJHBB5HAY4oRngOPhbLrXh+pzOAyBw8eVQ8clJBj16x6ihATDsNa9QXYv2mfn/aK22ok83ZPH7w1dEFG/owkivp+3V7/vaFxJOFDbAgFrP7hA4ufi94qdaNTHSj+ePtO9o1+/lmLn7eKIh8hEBJEgCIIgCB0O90ZwI4/EAzdIqSwZsAkJxsvlMsVOfLw5yZ8bWWTIBwLGezL+AcPAJQM60vydujrrhHMSCw0NprfFzptQX9+8IKK28Cf05L3hRj/ti+Q14eIBAFJSjHZSvXSOurqmBjWNq8NhjJ+d94rGUSmrh4iXc7lMQeR0NhUB0cQRXXcubnjmO94mXYjycnaCiIs2LqaozVQv3SdKNb3vOPycLpdxH1AZuuYED1HkY0HlaJzsBJLufdK9kXqbWgu/j0Ihox/iITIRQSQIgiAIQofj9ZqpfsloJSPN7bYapPwzCSEyoMlQJ4OePEL6PBguiDjkNSHRQ8fRZ/ICUD0UJkbbyejloWeA6TGprzcN82DQXL+HvDEE9cHOa6LXr4e2ccPe4TAFEbWZ+hQImMKI4GF1ZOjrfQFMg93jMepPSrKKBa/XFJhcAOhiQP9LkAjhYoMLIrpHdEFE9waJCxKoVKfbbY5LMGgY/iT8XC5rH7iApHtNDzuk+wywil7+GbDeUw0N5rgHg2Y5Gh/6XF9vP58okmjg/eTjR/cD94px0WgntrmAbi9astBrey8G216IIBIEQRAEocNJTjb+xsUZxjW9JyOWG8JJSaYhyg1Vu7TPkQzA+nrTMAVMMUJGMkEGMJWtqrJ6j8jArqkxypChzgUJYIoDMtC5eCOjVcfpNAUWtYUMdj20jYdzcVHgdBqiJT7erIu3mTxqOpFCFYlQyDDoPR5D/OiCKDXVNP5pTLlAshMBdokn6MXvAS6I6Fo1NJjl6JjGRkP06fcOQeclwaALIj7ugOmJpHstkpgGjL7W1DT1TvIxCATMNjQ0GC/yGPK5T/xF5fl14F4u3YtG60TxBwJ6mJ5+HH3uiJA5LvojlemKiCASBEEQBOGcwQ19/jSevCgkHrhXJTHR/KwLoEDA9Mq43fbzZui8QNM00RQ+RtuoDh6iFQqZ4kH3KlC9FIJEfSORwbdzoURtIYOVz+XRkyTwJBL04p4zj8coQyKCEh6QiCCoHjL2qR5dEJEh7XabIiMpySoQkpONflAfKNSQvFHcq0MCIFLGOH5f8HuD6uGhj9yrReGUNE668KTrSvcOleeQYOX3G78OfPwpbBIwvX9cIOlinLxU3MtHY0KCUR8H6jMXDnbz1kg8cdEXHx89VJGL0PYOl6N2iyASBEEQBEGIADfAyOgkwx8wQ+XIqE1IMA19bszSE3j9iTo9KScDkIx1PZkBGckkVPRJ+iQiSKjo857ICOZGOHlI6BzUN57YgeogL4RSpvfDro1k6HOPEQkZ2kfeEhIr3KtFHgq7hAR60gruKdJD30ho6oLI6zXDwUiQ6nNiqN268KE+8/p0MUTChYtbfUyCQVPE0D4uiCiMkAsiu/lSHo91jhT37PFrr4fIUdtoG3nJaNwTEsz7gu5TnvGPxikQMN/zZBI8WQX91cU1F512okoXRCQk9XDN9kAEkSAIgiAIQhT4xHISERReRoIiGLR6PmprrWFVfN4IGc319YZXorHRDGsLBo33PFyKG5l8HpGeyY2MWRIrPNU0YBqp9OSfjktMbJpAgXur6upMoUZCiUKqeCgZjYFdSmwKKyNDvbbWeF9XZwoI8prRGHBjmOp0uUyhSeNPkODkHjRqOxcTFRXWUDmaL0Pjr/dLN77160phX9RnCvsjUUOii3txyDPF11PioWBcdAYC5n1H+/g9EQiYglP3QtJ4kxeMh18C5nWlOik8kK4DjQV5mPSXHsbGRaMuavQ5R1yk6fc5P5aOc7nM+1JC5kxEEAmCIAiC0OFwQ5k/xedGID1NJ+OYjF2eFY0EEIXXkTFKhi+FK5ExSl4nnvGLCxU90xovR9na+MR6Muh0I5z2ca8XYBxP5yJvBc0l4Z4Yfm7yUunGJbWJ2kweIkocwLPz6Qki+FwsEpQ8GYWd8RwKmd4VfQ4XzbWiEEISRHQcDzvkwpGuNU+UoQsini2OT/6nfSTuSHRGmh8TCllFEWANc+P3JA+/4+IGMLxjTqd5T5FI1j1Duhih8iQy9flrHN1bRn95iCedk2c65KF3ehkuPvg1cTgit+NsEEEkCIIgCIIQBf7EnT8FB6yhPDyES0+IQAYXeQm4IQpY58a43aaYCQZNr4JdZje9nfzJPfc28AnvTqeZdhqwzqUho5qEj94X3ZOiz6PR5xDxDGz6ukN6+8lzxY1z7kWh/ZT9DjD6RIa7Pgb0mYsnwBxLnriCH2s3N4bGzS6EjjxAVBcJFxon3j86D09ioafE5gKFxBy/9noGQn1OkH6f2GUs1MUxnw/G+8i9OiTw7OYEcc8iwYWkPq+Ie/H4X75fF+tcJIuHyEQEkSAIgiAI5wQ7TwFgej24x4DKkJeHrz8EWJ/ik9HLIXFET+a5R0dPN8yNODonvedeADIi+TwS8iJxjwQ9hSfBwyfqkyeMZyPjIoHPo6HPCQmmV8LhMBIakHeA+qTPH+FQ27nQovZzeHgdCQ56z4UnlaFzcwNen7Oiw+e68P5yA56H23EPmlJWjxvfR8fqnhreXj2kToffR7oHLVJ/+HaexIELKH3cuNjSRZE+RoSe8pt7xvTQOzonF6a0jf9vtXfabRFEgiAIgiAIUfB4TOPM6zW2kcHmdhtGf3Ky8VdPK82TAOhPyimdMSUr4CFxuhEPGGWCQevEdx4ORoKFjG5KF87TGQOmp4qSC5DAoTTQLpfRlpoa89zUfx66RJ4au3lDevpnnnAgIQHw+cykCnx+jx4y5/Wa48wNcT3VNRcDerIKj8caMpeSYo4jhfLRGJEY4N4vPckC1ccz5fF1l1JSjLqqq805RLTmEtXT2GiE7vFx4deLr0PEQ/S4d4VC4GgfF4wEJZSg8aT5TZQMgeDhm9Rf8gbxuWcEhXxyYaPfKzxxAg+zpPPp6zDpXlhej/4SQWQigkgQBEEQhA6HDH6eOpmSAZAISk4255PQBHrATARAc4H0ORQ8yQJl9tJDrQjyEJEHgcLvyMileUwUZkbhaboxSoKI1r0h4xQw+0AGNGDNTMeNRvIQUdpkbozTOOipxGk8SBDRord8rEMh0+CmvtFfwBRt9J7awBMGcEFEa0MRSUmm6OALwpInioe+kTHPjXS32ypEUlOtGQd9PlNY0XwXuh40hlx40DXk14PCBbkgIm8k9yTROOvjT0IjOdk6N8vjMfumG/gkRBsazHlVJBS4QKQx5sfzbIN6WKHuCdNDGnlKc/0Yfh10L2R7wsMuIyGCSBAEQRCEHo9u8JOxamec0RwgHsLVEoPK6TSFEhnZfN4NiR6+XhBfewZoms3LLu12JEIhM/MdNxJ5GBWfy0J1k5dJz1Kne7DsQrf0EC9eJtJcFRKmPJmBvgaT220mpuDGLglLEq18vhQZ6FxAUXtIGOteGR4myJMn0Ge9rTxBBLWHkj/QZ7oWPFEDF0N64gc99JDeU5geXSd+r3BRQlnoKByNQj35MXSNeGKHSB4ifu14qBtg9XIBpmeUxo220+dAwOpttfOeni0tqU8EkSAIgiAIPRpuIPO1Y/gEf17Obm5QNKi8PteHG9mNjVbDWxcYkdZn0ed+REI3ovUn5rpBqCck4PXQZxqnSOezSxRhF37FRSDPqqaHWpGngbwqulAgqC7eDxKSumHOFyjl6+Do86t4mKDeBy7cKPSR6iCBxesigcm3kfeM7hG7+Tr6+HLPli7yeDt5Njm6boAp5uwSU3CcNlZ5NGHEz83FaCTPkp6Ku7nwttYigkgQBEEQBCEKfEI8NzDJwOUvSrBAoUzcUKRj+dNuwPxMGdPICCW4QcuFATfYgaZJF6jNfE4KlbMzKGnOCjf0ufeD10vwsC8+IZ/Kc48IYHo6KIyQxAAZxeS1IYOY5jVx7xeV071HNMY8ZI7K1dU17S8fSxpHXThQH/h1ojZTHTQ+PBkGrdujlwHMsDQSwbzNdH4+T4jqpLHQ1xKittl54Ohe4iGQNE66wKB7kGO3JhN5tCi0kafP1j08tJ+uG69fTyzBz0GCj/eLh2e2NyKIBEEQBEEQ2ggZqDxdMU+/zQURTxutG3okCoCmT9t1I5eHLXFPlJ3HRc8i1xLi461rveiCQyeSN4xEEveOcK8N7zudhwQReSyoHXpSCl0MUb+pLv04PYyQh+lRSFkoZL/GDZ8/ZXe99L7qY6Snso50Leg4vQ4ujGg/wUWRnSDiwpufVxdENA6UeVBvExc6NAbUJlqQl48rLRzM28bFjz6PyO58kV60vz0RQSQIgiAIghCF5GRzjgclT9BfNKeIh3EB1oQEQNOn7XZGLBnAJGaoDC3UycPZdO9DXJxZhi8i29BgJiagNvM1gsiDEhdnTv7nHgtdFHBDmmeT4xnnqD7eLx72xkUStcXttnotKPMaTypA2ekoNI7209wrWkDX6zX7zL0+lCmQr7/EU6TX1jZNn83HjRJgUJvpM42Dy2W9fg0Nxv1DfVHKOAcP7yOvC30OBKyZ4BITzbEhIcLPm5RkHsfnQVHdJAr5teUhatRPSuxB9y6F6emL8fL06+T1I2gBYn6f0/8Iv3f0F90jVIbGnbyt1FY6b3sigkgQBEEQBCEKlEmOZ4PTvR5kqJNRrIddkTHHPTh277l3RjfAuAfBzjNAxqzuOVHKauiSgcq9NFzccC+Ovq4QheXxc/JkAFSGt0ufe8LLca+Lfj5uZNM2ntZc97bRGPFQON5Hfj25Vw8w58+Q54Pazw11u2uqZzzT28YXS+X9CYUMUURjzVOo00Kt/Hg+jwwwr0FioplAgkQhtZXXSfcFbeNhbQSF5XGvGo0L9Yfq5/cgn19EyUR0+HWI5OXhKbl1UcThAqq9EEEkCIIgCIIQBe6poSf/5JkgzxAZpLQmjd3kf0q7TUZqfb1pgJJxGwqZRifPvgWY4qa21vQQORxmKmXy6NA+2s7XtOFZ4xoaTOOY5i+RoU0hT7rxStu4R0lPDc2hLG8kHtLTrd4U7l3iIV2UdptDRrLudSIhoydD4EY4heIBRp8bG63hhHwNHprjQ/v5daD+0XsSiE6nOcZUZyBg1quHCtbVWb09PLMcX/eIjvN4zDGmtoRC5vhS/5OSzLk9dE/ROJMw5tdTH2N+n5IY4mtfUZ+oXw0N5n3Mx5GO54KGPtt5p+zaRHOmuKAlz19HrEPUHmU6AxFEgiAIgiB0OPrcB3qvZ3zTjV5ukJKhzr0A3HAFrItd6ouB8rboT8jJWKQJ63xNHMAwHiOlBifj1m5OR6R5GnaGrO6F4Z4R3ZvGEyfQX+4ViDY/RO87L2+3dhOhCzW+ECsJMQqfo5BDOg837CncjLwidByVJbEcDJrb6VgSrE6nadCT6OLeFi5q+f1FfeDjo89P4vdec1nooo0THx9KAMFD5rjgIWFEY6G/CH48wdune+To2pKAov60d7gc0LJU3u0twtoLEUSCIAiCIHQ4DQ1WTw43GinEjQw3bqy53dYFLWmOC1+olRbfpCfzDQ3WOSyhkPHU3+k057pUVZlzN7hngZ7eBwLGdnrCTu2qrTXbRt4rOpbORxnO6Kk/YA2JIy8SGYfk6aAn/3q2M2oTiSLyYOgeJ12E6WvVcNGoX4f4eKCmxupd4yLH47Ea3pWV1gVw9b98rR8aVwpD42GAXIiR95AMdm7Y02fyKtFCpzzjGnkc6X6iF4nIYND0IHLBRp/J66aLDRLclZWmWOMePv26nj5t3kONjUB1tbGd7j0ufHTRRP21ExZ2wown0+D3Kb+GXHzR/0xza2m1BbuQSB0RRIIgCIIg9Gjs5qXYeYi4l4SSBRBkvFK5UMgabkZlSBzpWc0SE5sashRyxj00upeKp+sGrN4Hggx1DhcuugDgC5Lq48S9E9Q+PYEClSUDnQsf7h2wC3/T6+BQO7lHgeYMEYmJ1s88HTmNBR83XjdPmsEz6PH5OSRgdAFF83oofI23ga4l9Ym8T3xuGd0XfC4S1U/3kZ60gyejoDEBmn7W6+blKLSS7gm71OoE3de8bfy93UsXxXwukf6XhG57h6/R/1s0RBAJgiAIgtBj6dsX8PsNj09WltW7kZJiZA+j/enpppGXkGDsS0gwjPCqKqCiwiiXlGR4NWpqrN4U8gzQXBYyUsnoDAaBY8cMb09KijUsjp6kl5UZ5VJSrB6XigqjTEWFYTz7/aaoCQSA8nLT4A0EjLaTIe7xGPXRE/yKCsPrkJJierDi4oz3lPjA4TDOQR4ap9MYS6/X9G6lpjb1FDQ2mh4fLjDJ2+JyAWl+ZXVHnCncEIoPC0+PB4hvrAMCAVSfPBmuZ8oU4zynThkekW+/NfpD4qaiwszy1tgInDhhCNGMDPOackFE2ewyM63zfI4fNz2EbjeQk2P2pabGqDchwRxDn8/0/lCXaDx55j4aK7oHae6QnjiCrh2HBEtZmfHX5zPvj1DIaBeNfyBg9KGuzvAUkfeSPtPwV1cb9wKvo7q66f9Rba3pJaVwURK3Tqc57jR+NP50icmjVlXV+lDA5hAPkSAIgiAIQhRSUw3DPinJMGrpabbLZQggEkJJScZfpxOIj1Nm3Fl1ADgZQJrXi7S+fmNbTQ1SfF6o3p7wecgAJGFDn2luEpGQYBidPp/V4KV0x5SemQuVxkZD8AQCZsheZqYpVGpqrNnFamuNbfHx5kR2n69paFx6upnGGjCFIYmbzEwzRbbTCeTmGuUTXcpUaTWNFrdAQlwcPF6v1V1ELiOf2+jEV2VWQXQmt3XCmZMlOp3AyRrDUg8GDeVzhgEDDIH67bfGmFBSDPJWuVxG32trrUkDUlKM4yhxBhnyKSnGtpwcc2y5MU/j17evVfBRdji6t/x+4/rxhBVJSaYw5egZ9NxuIMHJLHa6iezcLnFxSP9OmjGnLVBtKk+nE8G4BDQ2GqKjpsY4f12dMYz19aaIJ/FMiR0A03OjZxnUw/hI8NBYcRHJw0v1tOc8NLM58dJaRBB1AZ555hn86le/QmlpKUaPHo2nnnoK48aN6+xmCYIgCIIAYMwYUxBcdJGZ/CApCUgoPWxYaFVVQFk9sKfC+hgcCAugsAXM0s054uPDqeo8FHtFi8qQhU6P7c9Yjn0HDzLKlJYa++jRefoZ18uYTONzeTnC1q3bDfTti7pQAkpLjcN7+epMaz89HQePxIfnEgUChlYhI7FXL0PckEF85AhQUgKcd56xr7zc8Ark5hrlaN5N/75B03pubAQOlRoFaaIUtZ8OIEgFpqYa+0+cMF0t9fWG6wIwLe5g0FAlXq/pNqmoMI6jFHBnyPhiA5JTUtAnLQ3olwLk98WpCsOKD4WAr782mkxekiNHjCZnZ5vrUTmdhreQRLDXC/Ty1hoHVFUBSUk4NioDcXFAL3+Dse2bb864fxqBXonA4DRjDCorjfH4qsy4fqRkExKB46fM68gnjpF1zife8FR4pE70cT1zXzrcbsTTvUnjGB+P+JQUxLvdSPT7keFyoZ/PB/gTgYFpQFISgr40VFQYXWloMMbl5Eng0CHT21NWZlweHjIHGENQXW28aC4dTzmelmZ6J+vrzdubuk9z4srK2vyvHJGOFEQdbed3C0H0yiuvYPHixXjuueeQl5eHJ598ElOmTEFhYSF69+7d2c0TBEEQhB5PWpphl/t8QIbvjMvAGQeUVQAHD5qWYV2dYYRTtgSirs50wZAg4mnLuHsCMFeCJTcACSKeY9ntNi1GMmp9PmN/VZXx+eRJs20eDxAKITEpCbm52XAEaoGvvjaN6aoq5PQdGA43q601PTvk6UmJq0Z6ejKqqsywvqws40UhgTk5QKq7Dioz0ejikSNmfFYoBBw9aoqgUMjMEEGz9wEzjs/pNIUTCSASRCdOmONHjXa7jbEjMVlebpybT6ACjDakphrtOLNaahqLdazKNNLgJSYa1VZVGUa7328KIpcL6N3bODw7+0xo3teHjDorKgCvF31GeM8orCNWQVRfb7T11Cmz77W1Rltpshi5osrLjXI8swDP/11XZ6oF5ukJZ0morTUn/VB5njeepyak+D26mCTOkpKMNiYlIT4zgDS/H6FsT/geUcpoJtf75F3kadWpafHxpiAi/U9rHNHtSt6ouDhTIPEkC+1NRwmic2HndwtB9MQTT+C2227DzTffDAB47rnn8H//93/44x//iPvvv7+TWycIgiAIQt++htHr9wMoLDRTq1VVAV99ZXo4qqoMY5vQ8xPzp/t6dgTANHRTUgzLkiaUkAVI8Wj79hmWIk0KCgSM4847z7AuvWcM8dJSM2YrMdEwjj0eOI6cMdC//tqox+sFysuRcCacKhGA1++HLzfNMGBDDYaw+fprOHw+pHi9GDFkEDIyEpCdXgccPYo0vxfIcgP79wPHj8PhdCIBMFwHNGkJMMarutqc4FRWZvWmAdbsCX6/sY1C3hITzfg/GjMSFSSi3G6jT1VVxnE0wYog90ZNjRnvVVkZzo6Qcd4QNDYap6aoPqfT0Jsej6Gl3G7jnvB6gsCePUZ7SkuNa3HihFGABA7dK4cPmxZ/SoqhqCjveUWFIfrIu+jzGQ0gNXD6tHEOvkItj80jkUkxlCSIqqqM97RgFo0zxTUSlKqOxoTEFcX7UVzl6dNAr17IGDwYdfUOJCcbh9K8MLc7rJ3g85ka3ek0hufbb425WHTbO51GCKPfbwxBba0xTHTLVFYaddfUGMNDwxEtxXpb6ChBdC7s/JgXRPX19di+fTuWLl0a3hYXF4fJkydj8+bNtsfU1dWhjn2Jnj7zBVFRUdGxjRWEDqCazbqsqKhAsL2/4QShA6HvXdVVA8uFs4aubX19heH0qQmi7ttvTYusqsoweukJfWWlGc9Dk0V4LmfKtMDzF3PoKT15EMgNQ3NBlDK2028+Pf0nMeDxGO2gxXROnjTzTiclGZ/dbuO46mrDOiVBARifiYYGqD7xcDSeEQ7Hjhn7a2vDIXiNcWmoKD1l7KusNCzYkhKjHBnbx4+bmSQAY3yqqsw5QeXllnC28Nhx94JSRnvj4kyBWFtrpmAjcUPuLKqPvGcNDahmgqiishJBj8eoq67OGB+6Fk4n6tIrwqcLhYwiND+LvBuUHruistrof0WFMb41NUYfExNNleBwGO09fdpsO8+jHQqZWSoCATP7AIklEkyVlea4JiWZaQepTppcQyvPkhBTyrpqLI0jn5hE40rjl5ho5oMPBg1lw9MqlpVBORNQU2M2gW5h+kzrF1HGPb7wL0HNIc8R9yjRqfTQO2NI2vf7V6mKFgge45y6zZ2YmIhEvvLvGdpi57eFmBdEJ06cQDAYRJ8+fSzb+/Tpgy+//NL2mEceeQQPPvhgk+39+vXrkDYKwrkih6ffEYQYorKyEqmpqZ3dDKEDOHkmM1lenvzGdidyHn+8s5sgtBNn+/3rcrmQlZWF0tKW/Y97vd4mNndBQQGWL1/epGxb7Py2EPOCqC0sXboUixcvDn8OhUIoKytDRkYGHG1IuVFRUYF+/frh8OHD8FHuxW5Ad+0XIH2LVbpr37prv4Dm+6aUQmVlpYj5bkx6ejoA4NChQzErervD/6j0oWvQlfrQXt+/brcbxcXFqG/hxCSlVBN72847dC6JeUGUmZmJ+Ph4HDt2zLL92LFjyMrKsj3Gzi3np/jas8Dn83X6zd0RdNd+AdK3WKW79q279guI3rdYNZKFlhF3Jk4nNTU15u/v7vA/Kn3oGnSVPrTX96/b7YabQjrbkbbY+W2hnZdkOve4XC6MGTMGa9euDW8LhUJYu3Yt8vPzO7FlgiAIgiAIgiC0lXNl58e8hwgAFi9ejLlz52Ls2LEYN24cnnzySVRXV4ezUQiCIAiCIAiCEHucCzu/Wwii6667Dt9++y0eeOABlJaW4qKLLsLf//73JhOwOorExEQUFBR0evxje9Nd+wVI32KV7tq37tovoHv3TWgZ3eEekD50DaQPPZNzYec7lOQ6FQRBEARBEAShhxLzc4gEQRAEQRAEQRDaiggiQRAEQRAEQRB6LCKIBEEQBEEQBEHosYggEgRBEARBEAShxyKC6Cx55plnMGDAALjdbuTl5WHr1q2d3aRW88gjj+C73/0uUlJS0Lt3b8ycOROFhYWWMoFAAAsWLEBGRga8Xi9mzZrVZJGsrs6jjz4Kh8OBu+66K7wtlvv1zTff4Ec/+hEyMjLg8XgwcuRIfPrpp+H9Sik88MADyM7OhsfjweTJk1FUVNSJLW4ZwWAQy5Ytw8CBA+HxeHD++efjoYceAs//Eit9+/DDDzF9+nTk5OTA4XDgzTfftOxvST/KysowZ84c+Hw++P1+3HLLLaiqqjqHvWhKtH41NDRgyZIlGDlyJJKTk5GTk4ObbroJR48etdTRFfsldAyx8jvZkt/Cyy67DA6Hw/K64447OqnFTVm+fHmT9g0dOjS8PxZ+8wYMGNCkDw6HAwsWLADQNa9Bd/2u70mIIDoLXnnlFSxevBgFBQXYsWMHRo8ejSlTpuD48eOd3bRWsWHDBixYsACffPIJ1qxZg4aGBvzbv/0bqqurw2V+9rOf4W9/+xtee+01bNiwAUePHsXVV1/dia1uHdu2bcPvf/97jBo1yrI9Vvt16tQpTJgwAQkJCXj33XexZ88ePP7440hLSwuXWbFiBX7729/iueeew5YtW5CcnIwpU6YgEAh0Ysub57HHHsOzzz6Lp59+Gnv37sVjjz2GFStW4KmnngqXiZW+VVdXY/To0XjmmWds97ekH3PmzME///lPrFmzBqtXr8aHH36I+fPnn6su2BKtXzU1NdixYweWLVuGHTt24PXXX0dhYSGuuuoqS7mu2C+h/Yml38mW/BYCwG233YaSkpLwa8WKFZ3UYnsuvPBCS/s2btwY3hcLv3nbtm2ztH/NmjUAgGuuuSZcpqtdg+76Xd+jUEKbGTdunFqwYEH4czAYVDk5OeqRRx7pxFadPcePH1cA1IYNG5RSSpWXl6uEhAT12muvhcvs3btXAVCbN2/urGa2mMrKSnXBBReoNWvWqEmTJqlFixYppWK7X0uWLFHf+973Iu4PhUIqKytL/epXvwpvKy8vV4mJierPf/7zuWhim7nyyivVj3/8Y8u2q6++Ws2ZM0cpFbt9A6DeeOON8OeW9GPPnj0KgNq2bVu4zLvvvqscDof65ptvzlnbo6H3y46tW7cqAOrgwYNKqdjol9A+xPLvpP5bqJSy/IZ0RQoKCtTo0aNt98Xqb96iRYvU+eefr0KhkFKq61+D7vpd390RD1Ebqa+vx/bt2zF58uTwtri4OEyePBmbN2/uxJadPadPnwYApKenAwC2b9+OhoYGS1+HDh2K3NzcmOjrggULcOWVV1raD8R2v95++22MHTsW11xzDXr37o2LL74Yf/jDH8L7i4uLUVpaaulbamoq8vLyunzfxo8fj7Vr12Lfvn0AgF27dmHjxo2YNm0agNjuG6cl/di8eTP8fj/Gjh0bLjN58mTExcVhy5Yt57zNbeX06dNwOBzw+/0Auk+/hOjE+u+k/ltIvPTSS8jMzMSIESOwdOlS1NTUdEbzIlJUVIScnBwMGjQIc+bMwaFDhwDE5m9efX09XnzxRfz4xz+Gw+EIb+/q14DTk77rYxlnZzcgVjlx4gSCwWCTVXL79OmDL7/8spNadfaEQiHcddddmDBhAkaMGAEAKC0thcvlChszRJ8+fVBaWtoJrWw5L7/8Mnbs2IFt27Y12RfL/frqq6/w7LPPYvHixfiP//gPbNu2DXfeeSdcLhfmzp0bbr/d/dnV+3b//fejoqICQ4cORXx8PILBIB5++GHMmTMHAGK6b5yW9KO0tBS9e/e27Hc6nUhPT4+ZvgYCASxZsgSzZ8+Gz+cD0D36JTRPLP9O2v0WAsANN9yA/v37IycnB7t378aSJUtQWFiI119/vRNba5KXl4dVq1ZhyJAhKCkpwYMPPohLL70UX3zxRUz+5r355psoLy/HvHnzwtu6+jXQ6Snf9bGOCCLBwoIFC/DFF19YYo5jlcOHD2PRokVYs2YN3G53ZzenXQmFQhg7diz+8z//EwBw8cUX44svvsBzzz2HuXPndnLrzo5XX30VL730Ev70pz/hwgsvxM6dO3HXXXchJycn5vvW02hoaMC1114LpRSeffbZzm6OILSYSL+FfE7HyJEjkZ2djSuuuAIHDhzA+eeff66b2QTypAPAqFGjkJeXh/79++PVV1+Fx+PpxJa1jf/93//FtGnTkJOTE97W1a+BEJtIyFwbyczMRHx8fJPsLMeOHUNWVlYntersWLhwIVavXo1169ahb9++4e1ZWVmor69HeXm5pXxX7+v27dtx/PhxXHLJJXA6nXA6ndiwYQN++9vfwul0ok+fPjHZLwDIzs7G8OHDLduGDRsWDo2g9sfi/Xnvvffi/vvvx/XXX4+RI0fixhtvxM9+9jM88sgjAGK7b5yW9CMrK6vJ5PPGxkaUlZV1+b6SGDp48CDWrFkT9g4Bsd0voeXE6u9kpN9CO/Ly8gAA+/fvPxdNazV+vx+DBw/G/v37Y+63/ODBg/jHP/6BW2+9NWq5rn4Nuvt3fXdBBFEbcblcGDNmDNauXRveFgqFsHbtWuTn53diy1qPUgoLFy7EG2+8gQ8++AADBw607B8zZgwSEhIsfS0sLMShQ4e6dF+vuOIKfP7559i5c2f4NXbsWMyZMyf8Phb7BQATJkxokg5237596N+/PwBg4MCByMrKsvStoqICW7Zs6fJ9q6mpQVyc9aspPj4eoVAIQGz3jdOSfuTn56O8vBzbt28Pl/nggw8QCoXCRkBXhMRQUVER/vGPfyAjI8OyP1b7JbSOWPudbO630I6dO3cCMB5SdUWqqqpw4MABZGdnx9xv+cqVK9G7d29ceeWVUct19WvQnb/ruxWdnNQhpnn55ZdVYmKiWrVqldqzZ4+aP3++8vv9qrS0tLOb1ip+8pOfqNTUVLV+/XpVUlISftXU1ITL3HHHHSo3N1d98MEH6tNPP1X5+fkqPz+/E1vdNvTsNLHar61btyqn06kefvhhVVRUpF566SWVlJSkXnzxxXCZRx99VPn9fvXWW2+p3bt3qxkzZqiBAweq2traTmx588ydO1edd955avXq1aq4uFi9/vrrKjMzU913333hMrHSt8rKSvXZZ5+pzz77TAFQTzzxhPrss8/C2dZa0o+pU6eqiy++WG3ZskVt3LhRXXDBBWr27Nmd1SWlVPR+1dfXq6uuukr17dtX7dy50/KdUldXF66jK/ZLaH9i6Xeyud/C/fv3q1/84hfq008/VcXFxeqtt95SgwYNUhMnTuzklpvcfffdav369aq4uFht2rRJTZ48WWVmZqrjx48rpWLnNy8YDKrc3Fy1ZMkSy/aueg2663d9T0IE0Vny1FNPqdzcXOVyudS4cePUJ5980tlNajUAbF8rV64Ml6mtrVU//elPVVpamkpKSlI//OEPVUlJSec1uo3ogiiW+/W3v/1NjRgxQiUmJqqhQ4eq//7v/7bsD4VCatmyZapPnz4qMTFRXXHFFaqwsLCTWttyKioq1KJFi1Rubq5yu91q0KBB6uc//7nFmI6Vvq1bt872f2vu3LlKqZb14+TJk2r27NnK6/Uqn8+nbr75ZlVZWdkJvTGJ1q/i4uKI3ynr1q0L19EV+yV0DLHyO9ncb+GhQ4fUxIkTVXp6ukpMTFTf+c531L333qtOnz7duQ1nXHfddSo7O1u5XC513nnnqeuuu07t378/vD9WfvPee+89BaDJ92FXvQbd9bu+J+FQii3/LgiCIAiCIAiC0IOQOUSCIAiCIAiCIPRYRBAJgiAIgiAIgtBjEUEkCIIgCIIgCEKPRQSRIAiCIAiCIAg9FhFEgiAIgiAIgiD0WEQQCYIgCIIgCILQYxFBJAiCIAiCIAhCj0UEkSAIgiAIgiAIPRYRRIIQo6xfvx4OhwPl5eVRyw0YMABPPvnkOWmTIAiC0D3ojN+O5cuX46KLLopaZt68eZg5c+Y5aY/QcxBBJAgxyvjx41FSUoLU1FQAwKpVq+D3+5uU27ZtG+bPn3+OWycIgiBwvv32W/zkJz9Bbm4uEhMTkZWVhSlTpmDTpk2d3bQuwz333IO1a9d2djOEHoizsxsgCELbcLlcyMrKarZcr169zkFrBEEQhGjMmjUL9fX1eP755zFo0CAcO3YMa9euxcmTJzvsnPX19XC5XB1Wf3ufy+v1wuv1tlOLBKHliIdIEDqQyy67DAsXLsTChQuRmpqKzMxMLFu2DEopAMCpU6dw0003IS0tDUlJSZg2bRqKiorCxx88eBDTp09HWloakpOTceGFF+Kdd94BYA2ZW79+PW6++WacPn0aDocDDocDy5cvB9A07OHQoUOYMWMGvF4vfD4frr32Whw7diy8n0IWXnjhBQwYMACpqam4/vrrUVlZ2fEDJgiC0A0pLy/HRx99hMceewz/+q//iv79+2PcuHFYunQprrrqKku522+/HX369IHb7caIESOwevXq8P6//vWvuPDCC5GYmIgBAwbg8ccft5xnwIABeOihh3DTTTfB5/OFowM2btyISy+9FB6PB/369cOdd96J6urq8HHHjx/H9OnT4fF4MHDgQLz00kvN9olC1x5++GHk5ORgyJAhAIDDhw/j2muvhd/vR3p6OmbMmIGvv/46fNz69esxbtw4JCcnw+/3Y8KECTh48CCApiFzwWAQixcvht/vR0ZGBu67777w7yfvsx7ad9FFF4V/A2lcb731VvTq1Qs+nw+XX345du3a1WwfhZ6DCCJB6GCef/55OJ1ObN26Fb/5zW/wxBNP4H/+538AGD8on376Kd5++21s3rwZSin8+7//OxoaGgAACxYsQF1dHT788EN8/vnneOyxx2yfno0fPx5PPvkkfD4fSkpKUFJSgnvuuadJuVAohBkzZqCsrAwbNmzAmjVr8NVXX+G6666zlDtw4ADefPNNrF69GqtXr8aGDRvw6KOPdsDoCIIgdH/I8/Hmm2+irq7OtkwoFMK0adOwadMmvPjii9izZw8effRRxMfHAwC2b9+Oa6+9Ftdffz0+//xzLF++HMuWLcOqVass9fzXf/0XRo8ejc8++wzLli3DgQMHMHXqVMyaNQu7d+/GK6+8go0bN2LhwoXhY+bNm4fDhw9j3bp1+Mtf/oLf/e53OH78eLP9Wrt2LQoLC7FmzRqsXr0aDQ0NmDJlClJSUvDRRx9h06ZN8Hq9mDp1Kurr69HY2IiZM2di0qRJ2L17NzZv3oz58+fD4XDY1v/4449j1apV+OMf/4iNGzeirKwMb7zxRgtH3eSaa67B8ePH8e6772L79u245JJLcMUVV6CsrKzVdQndFCUIQocxadIkNWzYMBUKhcLblixZooYNG6b27dunAKhNmzaF9504cUJ5PB716quvKqWUGjlypFq+fLlt3evWrVMA1KlTp5RSSq1cuVKlpqY2Kde/f3/161//Wiml1Pvvv6/i4+PVoUOHwvv/+c9/KgBq69atSimlCgoKVFJSkqqoqAiXuffee1VeXl6bxkAQBEFQ6i9/+YtKS0tTbrdbjR8/Xi1dulTt2rUrvP+9995TcXFxqrCw0Pb4G264QX3/+9+3bLv33nvV8OHDw5/79++vZs6caSlzyy23qPnz51u2ffTRRyouLk7V1taqwsJCy2+AUkrt3btXAQj/dtgxd+5c1adPH1VXVxfe9sILL6ghQ4ZYfvPq6uqUx+NR7733njp58qQCoNavX29bZ0FBgRo9enT4c3Z2tlqxYkX4c0NDg+rbt6+aMWOGpc96O0ePHq0KCgrCffX5fCoQCFjKnH/++er3v/99xP4JPQvxEAlCB/Mv//Ivlqdf+fn5KCoqwp49e+B0OpGXlxfel5GRgSFDhmDv3r0AgDvvvBO//OUvMWHCBBQUFGD37t1n1Za9e/eiX79+6NevX3jb8OHD4ff7w+cEjBCElJSU8Ofs7OwWPS0UBEEQ7Jk1axaOHj2Kt99+G1OnTsX69etxySWXhD08O3fuRN++fTF48GDb4/fu3YsJEyZYtk2YMAFFRUUIBoPhbWPHjrWU2bVrF1atWhX2Unm9XkyZMgWhUAjFxcXYu3cvnE4nxowZEz5m6NChtkl6dEaOHGmZN7Rr1y7s378fKSkp4XOlp6cjEAjgwIEDSE9Px7x58zBlyhRMnz4dv/nNb1BSUmJb9+nTp1FSUmL5jXQ6nU361xy7du1CVVUVMjIyLGNQXFyMAwcOtKouofsigkgQujC33norvvrqK9x44434/PPPMXbsWDz11FMdft6EhATLZ4fDgVAo1OHnFQRB6M643W58//vfx7Jly/Dxxx9j3rx5KCgoAAB4PJ52OUdycrLlc1VVFW6//Xbs3Lkz/Nq1axeKiopw/vnnt/u5xowZYznXzp07sW/fPtxwww0AgJUrV2Lz5s0YP348XnnlFQwePBiffPJJm9sQFxfXZF4RhZ1Tm7Kzs5u0qbCwEPfee2+bzyt0L0QQCUIHs2XLFsvnTz75BBdccAGGDx+OxsZGy/6TJ0+isLAQw4cPD2/r168f7rjjDrz++uu4++678Yc//MH2PC6Xy/KU0I5hw4bh8OHDOHz4cHjbnj17UF5ebjmnIAiC0PEMHz48nNxg1KhROHLkCPbt22dbdtiwYU1SdG/atAmDBw8OzzOy45JLLsGePXvwne98p8nL5XJh6NChaGxsxPbt28PHFBYWNrvGXaRzFRUVoXfv3k3ORUtEAMDFF1+MpUuX4uOPP8aIESPwpz/9qUldqampyM7OtvxG6u0EjEyq3MtUUVGB4uJiS5tKS0vhdDqbtCkzM7PVfRS6JyKIBKGDOXToEBYvXozCwkL8+c9/xlNPPYVFixbhggsuwIwZM3Dbbbdh48aN2LVrF370ox/hvPPOw4wZMwAAd911F9577z0UFxdjx44dWLduHYYNG2Z7ngEDBqCqqgpr167FiRMnUFNT06TM5MmTMXLkSMyZMwc7duzA1q1bcdNNN2HSpEmtDkMQBEEQWsbJkydx+eWX48UXX8Tu3btRXFyM1157DStWrAh/30+aNAkTJ07ErFmzsGbNGhQXF+Pdd9/F3//+dwDA3XffjbVr1+Khhx7Cvn378Pzzz+Ppp5+2TaDDWbJkCT7++GMsXLgQO3fuRFFREd56661wUoUhQ4Zg6tSpuP3227FlyxZs374dt956a5s8VnPmzEFmZiZmzJiBjz76CMXFxVi/fj3uvPNOHDlyBMXFxVi6dCk2b96MgwcP4v3330dRUVHE37VFixbh0UcfxZtvvokvv/wSP/3pT5sItcsvvxwvvPACPvroI3z++eeYO3euRSBOnjwZ+fn5mDlzJt5//318/fXX+Pjjj/Hzn/8cn376aav7KHRPRBAJQgdz0003oba2FuPGjcOCBQuwaNGicCrUlStXYsyYMfjBD36A/Px8KKXwzjvvhEPWgsEgFixYgGHDhmHq1KkYPHgwfve739meZ/z48bjjjjtw3XXXoVevXlixYkWTMg6HA2+99RbS0tIwceJETJ48GYMGDcIrr7zScQMgCILQw/F6vcjLy8Ovf/1rTJw4ESNGjMCyZctw22234emnnw6X++tf/4rvfve7mD17NoYPH4777rsv7Pm/5JJL8Oqrr+Lll1/GiBEj8MADD+AXv/gF5s2bF/Xco0aNwoYNG7Bv3z5ceumluPjii/HAAw8gJycnXGblypXIycnBpEmTcPXVV2P+/Pno3bt3q/uZlJSEDz/8ELm5ubj66qsxbNgw3HLLLQgEAvD5fEhKSsKXX36JWbNmYfDgwZg/fz4WLFiA22+/3ba+u+++GzfeeCPmzp2L/Px8pKSk4Ic//KGlzNKlSzFp0iT84Ac/wJVXXomZM2daQgEdDgfeeecdTJw4ETfffDMGDx6M66+/HgcPHkSfPn1a3Uehe+JQeuClIAjtxmWXXYaLLrqoyRoJgiAIgiAIQtdAPESCIAiCIAiCIPRYRBAJgiAIgiAIgtBjkZA5QRAEQRAEQRB6LOIhEgRBEARBEAShxyKCSBAEQRAEQRCEHosIIkEQBEEQBEEQeiwiiARBEARBEARB6LGIIBIEQRAEQRAEoccigkgQBEEQBEEQhB6LCCJBEARBEARBEHosIogEQRAEQRAEQeix/D/NvLV85C+LvAAAAABJRU5ErkJggg==\n" - }, - "metadata": {} - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -1065,4151 +801,100 @@ ], "metadata": { "cellView": "form", - "id": "TR2l2fcNCWHF", - "outputId": "4389609e-09be-4ba0-a4ce-e38eb22add8d", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 621 - } + "id": "TR2l2fcNCWHF" }, - "execution_count": 7, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "" - ] - }, - "metadata": {} - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", "source": [ - "#@title interface_analysis (optional)\n", - "\n", + "#@title Chain and pairwise analysis\n", "import pandas as pd\n", "import seaborn as sns\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", "\n", - "# Given dictionary\n", - "iptm_doct = info[4]\n", - "\n", - "# Extract unique letters\n", - "letters = sorted(set([key.split('-')[0] for key in iptm_doct.keys()] + [key.split('-')[1] for key in iptm_doct.keys()]))\n", - "\n", - "# Create an empty DataFrame\n", - "data = pd.DataFrame(np.zeros((len(letters), len(letters))), index=letters, columns=letters)\n", - "\n", - "# Fill the DataFrame\n", - "for key, value in iptm_doct.items():\n", - " i, j = key.split('-')\n", - " data.loc[i, j] = value\n", - " data.loc[j, i] = value\n", - "\n", - "# Mask the diagonal\n", - "diagonal_mask = np.eye(len(letters), dtype=bool)\n", - "\n", - "# Plot the heatmap\n", - "plt.figure(figsize=(3, 3))\n", - "sns.heatmap(data, annot=True, cmap='viridis', mask=diagonal_mask, cbar=True, edgecolor='grey', clip_on=False,\n", - " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True)\n", - "plt.yticks(rotation=0)\n", - "plt.show()" + "def plot_chain_pairwise_analysis(info):\n", + " num_elements = len(info)\n", + " fig, axes = plt.subplots(1, num_elements, figsize=(num_elements * 5, num_elements), squeeze=False)\n", + "\n", + " for idx, ax in enumerate(axes[0]):\n", + " # get data from the info\n", + " ifptm_dict = info[idx][4]\n", + " iptm_dict = info[idx][3]\n", + " cptm_dict = info[idx][5]\n", + "\n", + " # get chain id-s\n", + " letters = sorted(set([key.split('-')[0] for key in ifptm_dict.keys()] + [key.split('-')[1] for key in ifptm_dict.keys()]))\n", + "\n", + " # initialize dataframe\n", + " data = pd.DataFrame(np.zeros((len(letters), len(letters))), index=letters, columns=letters)\n", + "\n", + " # add the ifptm and iptm values to the dataframe\n", + " for key, value in ifptm_dict.items():\n", + " i, j = key.split('-')\n", + " data.loc[i, j] = value\n", + " data.loc[j, i] = iptm_dict[f'{i}-{j}']\n", + "\n", + " # add cptm cvalues to the dataframe\n", + " for chain, value in cptm_dict.items():\n", + " if chain in data.index:\n", + " data.loc[chain, chain] = value\n", + "\n", + " # create masks for lower, upper triangles, and diagonal\n", + " mask_upper = np.triu(np.ones(data.shape), k=1)\n", + " mask_lower = np.tril(np.ones(data.shape), k=-1)\n", + " mask_diagonal = np.eye(data.shape[0])\n", + "\n", + " figure_size = max(4, len(letters))\n", + "\n", + " # dynamically adjust the size, according to the number of chains\n", + " dynamic_fontsize = 11 + (figure_size / 2)\n", + " x_start = 0.3\n", + " x_offset = 0.1\n", + "\n", + " annot_kws={'size': dynamic_fontsize}\n", + "\n", + " # lower triangle with blue colors\n", + " sns.heatmap(data, mask=mask_upper + mask_diagonal, annot=True, cmap='Blues', cbar=False, edgecolor='grey',\n", + " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, annot_kws=annot_kws)\n", + "\n", + " # upper triangle with red colors\n", + " sns.heatmap(data, mask=mask_lower + mask_diagonal, annot=True, cmap='Reds', cbar=False, edgecolor='grey',\n", + " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, annot_kws=annot_kws)\n", + "\n", + " # diagonal with greys\n", + " diagonal_data = pd.DataFrame(np.diag(np.diag(data)), index=letters, columns=letters)\n", + " heatmap = sns.heatmap(diagonal_data, mask=~mask_diagonal.astype(bool), annot=True, cmap='Greys', cbar=True, edgecolor='grey',\n", + " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, cbar_kws={'shrink': 0.8}, annot_kws=annot_kws)\n", + "\n", + " # format colorbar\n", + " colorbar = heatmap.collections[2].colorbar\n", + " colorbar.outline.set_edgecolor('grey')\n", + " colorbar.outline.set_linewidth(0.5)\n", + "\n", + " # color the title, use it as a legend\n", + " ax.text(x_start, 1.05, 'ifpTM', fontsize=dynamic_fontsize, fontweight='bold', color='darkblue', ha='center', transform=ax.transAxes)\n", + " ax.text(x_start + x_offset, 1.05, ' - ', fontsize=dynamic_fontsize, fontweight='bold', color='black', ha='center', transform=ax.transAxes)\n", + " ax.text(x_start + 2 * x_offset, 1.05, 'cpTM', fontsize=dynamic_fontsize, fontweight='bold', color='dimgrey', ha='center', transform=ax.transAxes)\n", + " ax.text(x_start + 3 * x_offset, 1.05, ' - ', fontsize=dynamic_fontsize, fontweight='bold', color='black', ha='center', transform=ax.transAxes)\n", + " ax.text(x_start + 4 * x_offset, 1.05, 'ipTM', fontsize=dynamic_fontsize, fontweight='bold', color='firebrick', ha='center', transform=ax.transAxes)\n", + "\n", + " ax.set_yticks(ax.get_yticks())\n", + " ax.set_yticklabels(ax.get_yticklabels(), rotation=0, size=dynamic_fontsize)\n", + " ax.set_xticks(ax.get_xticks())\n", + " ax.set_xticklabels(ax.get_xticklabels(), size=dynamic_fontsize)\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig(f\"{pdb_path}/chain_pairwise_ptm.png\", dpi=200, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + "plot_chain_pairwise_analysis(info)" ], "metadata": { "id": "WoLg1yqYDbiX", - "outputId": "caa17274-f022-48dd-c1a2-94574e8e3003", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 216 - } - }, - "execution_count": 10, - "outputs": [ - { - "output_type": "error", - "ename": "AttributeError", - "evalue": "'list' object has no attribute 'keys'", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;31m# Extract unique letters\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mletters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miptm_doct\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'-'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0miptm_doct\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;31m# Create an empty DataFrame\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'keys'" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "np.eye(len(letters), dtype=bool)" - ], - "metadata": { - "id": "QoF5Yw3aG8Gq" + "cellView": "form" }, "execution_count": null, "outputs": [] From e617dd27d2f15fa5b89d1965b333f7043eb693db Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 28 Oct 2024 23:37:06 +0200 Subject: [PATCH 48/56] corrected upper and lower triangle --- af/examples/predict.ipynb | 24 ++++++++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 898d4cad..0f5a9fd2 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -834,8 +834,8 @@ " # add the ifptm and iptm values to the dataframe\n", " for key, value in ifptm_dict.items():\n", " i, j = key.split('-')\n", - " data.loc[i, j] = value\n", - " data.loc[j, i] = iptm_dict[f'{i}-{j}']\n", + " data.loc[j, i] = value\n", + " data.loc[i, j] = iptm_dict[f'{i}-{j}']\n", "\n", " # add cptm cvalues to the dataframe\n", " for chain, value in cptm_dict.items():\n", @@ -894,10 +894,26 @@ ], "metadata": { "id": "WoLg1yqYDbiX", + "outputId": "0ca6e643-4287-4922-a88b-402b130fd2a4", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 345 + }, "cellView": "form" }, - "execution_count": null, - "outputs": [] + "execution_count": 11, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] }, { "cell_type": "code", From d1b6721f1c592a213a7e7dee999a3468aa42ca6e Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Mon, 28 Oct 2024 23:38:08 +0200 Subject: [PATCH 49/56] renamed cell, cleared output --- af/examples/predict.ipynb | 26 +++++--------------------- 1 file changed, 5 insertions(+), 21 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 0f5a9fd2..0a75430d 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -429,7 +429,7 @@ "#@markdown Model options\n", "model_type = \"auto\" #@param [\"monomer (ptm)\", \"pseudo_multimer (v3)\", \"multimer (v3)\", \"auto\"]\n", "rank_by = \"auto\" #@param [\"auto\", \"plddt\", \"ptm\"]\n", - "debug = True #@param {type:\"boolean\"}\n", + "debug = False #@param {type:\"boolean\"}\n", "use_initial_guess = False\n", "\n", "#@markdown MSA options\n", @@ -438,7 +438,7 @@ "use_cluster_profile = True #@param {type:\"boolean\"}\n", "\n", "#@markdown Extended metrics\n", - "extended_metrics = True #@param {type:\"boolean\"}\n", + "extended_metrics = False #@param {type:\"boolean\"}\n", "\n", "if extended_metrics:\n", " debug=True\n", @@ -809,7 +809,7 @@ { "cell_type": "code", "source": [ - "#@title Chain and pairwise analysis\n", + "#@title chain_and_pairwise_analysis\n", "import pandas as pd\n", "import seaborn as sns\n", "import numpy as np\n", @@ -894,26 +894,10 @@ ], "metadata": { "id": "WoLg1yqYDbiX", - "outputId": "0ca6e643-4287-4922-a88b-402b130fd2a4", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 345 - }, "cellView": "form" }, - "execution_count": 11, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {} - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", From 3afe6dc933ccade2e2b241f651a85ed5c3f3e0ff Mon Sep 17 00:00:00 2001 From: jvarga Date: Tue, 29 Oct 2024 14:21:59 +0200 Subject: [PATCH 50/56] renamed to actifptm --- colabdesign/af/chains_ptms.py | 50 +++++++++++++++++------------------ 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/colabdesign/af/chains_ptms.py b/colabdesign/af/chains_ptms.py index 6b365be0..e8be49d3 100644 --- a/colabdesign/af/chains_ptms.py +++ b/colabdesign/af/chains_ptms.py @@ -32,7 +32,7 @@ def predicted_tm_score_modified(logits, breaks, residue_weights=None, expectation. asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for ipTM calculation. - pair_residue_weights: [num_res, num_res] unnormalized weights for ifptm calculation + pair_residue_weights: [num_res, num_res] unnormalized weights for actifptm calculation Returns: ptm_score: The predicted TM alignment or the predicted iTM score. @@ -100,7 +100,7 @@ def get_ptm_modified(inputs, outputs, interface=False): return predicted_tm_score_modified(**pae, use_jnp=True) -def get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j): +def get_actifptm_probs(af, cmap, start_i, end_i, start_j, end_j): """ This function calculates the interface PTM score for a given interface, taking into account the contact probabilities, not binary contacts. @@ -111,13 +111,13 @@ def get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j): start_j, end_j: Start and end indices of the second chain Returns: - ifptm: Interface pTM score + actifptm: Interface pTM score ipTM: Interchain pTM score """ total_length = len(af._inputs['asym_id']) outputs = deepcopy(af.aux['debug']['outputs']) - inputs_ifptm = {} + inputs_actifptm = {} # Create a new matrix, which contains only the contacts between the two chains cmap_copy = np.zeros((total_length, total_length)) @@ -125,23 +125,23 @@ def get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j): cmap_copy[start_j:end_j + 1, start_i:end_i + 1] = cmap[start_j:end_j + 1, start_i:end_i + 1] # Initialize new input dictionary - inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) - inputs_ifptm['asym_id'] = af._inputs['asym_id'] + inputs_actifptm['seq_mask'] = np.full(total_length, 0, dtype=float) + inputs_actifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), + inputs_actifptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), np.arange(start_j, end_j + 1)))] = 1 # Call get_ptm with updated inputs and outputs - pae = {"residue_weights": inputs_ifptm["seq_mask"], + pae = {"residue_weights": inputs_actifptm["seq_mask"], **outputs["predicted_aligned_error"], - "asym_id": inputs_ifptm["asym_id"]} - ifptm_probs = round(float(predicted_tm_score_modified(**pae, use_jnp=True, + "asym_id": inputs_actifptm["asym_id"]} + actifptm_probs = round(float(predicted_tm_score_modified(**pae, use_jnp=True, pair_residue_weights=cmap_copy)), 3) - return ifptm_probs + return actifptm_probs -def get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): +def get_actifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): """ This function calculates the interface PTM score for a given interface, taking into account binary contacts. In case of no confident contacts, the interface PTM score is set to 0. @@ -153,12 +153,12 @@ def get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): start_j, end_j: Start and end indices of the second chain Returns: - ifptm: Interface pTM score + actifptm: Interface pTM score ipTM: Interchain pTM score """ # Prepare a dictionary to collect the inputs for calculation - inputs_ifptm = {} + inputs_actifptm = {} contacts = np.where(cmap[start_i:end_i + 1, start_j:end_j + 1] >= 0.6) total_length = len(af._inputs['asym_id']) outputs = deepcopy(af.aux['debug']['outputs']) @@ -172,16 +172,16 @@ def get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): global_positions.sort() # Initialize new input dictionary - inputs_ifptm['seq_mask'] = np.full(total_length, 0, dtype=float) - inputs_ifptm['asym_id'] = af._inputs['asym_id'] + inputs_actifptm['seq_mask'] = np.full(total_length, 0, dtype=float) + inputs_actifptm['asym_id'] = af._inputs['asym_id'] # Update seq_mask for these positions to True within inputs - inputs_ifptm['seq_mask'][global_positions] = 1 + inputs_actifptm['seq_mask'][global_positions] = 1 # Call get_ptm with updated inputs and outputs - ifptm = round(float(get_ptm_modified(inputs_ifptm, outputs, interface=True)), 3) + actifptm = round(float(get_ptm_modified(inputs_actifptm, outputs, interface=True)), 3) else: - ifptm = 0 + actifptm = 0 - return ifptm + return actifptm def get_pairwise_iptm(af, start_i, end_i, start_j, end_j): @@ -238,12 +238,12 @@ def get_pairwise_interface_metrics(af, calculate_interface=False): calculate_interface: If True, calculate interface pTM score based on contact probabilities. If False, calculate interface pTM score based on binary contacts. Returns: - pairwise_ifptm: Dictionary containing pairwise interface pTM scores + pairwise_actifptm: Dictionary containing pairwise interface pTM scores pairwise_iptm: Dictionary containing pairwise interchain pTM scores """ # Prepare a dictionary to collect results - pairwise_ifptm = {} + pairwise_actifptm = {} pairwise_iptm = {} per_chain_ptm = {} chain_starts_ends = get_chain_indices(af._inputs['asym_id']) @@ -260,9 +260,9 @@ def get_pairwise_interface_metrics(af, calculate_interface=False): key = f"{chain_label_i}-{chain_label_j}" if calculate_interface: - pairwise_ifptm[key] = get_ifptm_contacts(af, cmap, start_i, end_i, start_j, end_j) + pairwise_actifptm[key] = get_actifptm_contacts(af, cmap, start_i, end_i, start_j, end_j) else: - pairwise_ifptm[key] = get_ifptm_probs(af, cmap, start_i, end_i, start_j, end_j) + pairwise_actifptm[key] = get_actifptm_probs(af, cmap, start_i, end_i, start_j, end_j) # Also add regular i_ptm (interchain), pairwise pairwise_iptm[key] = get_pairwise_iptm(af, start_i, end_i, start_j, end_j) @@ -270,4 +270,4 @@ def get_pairwise_interface_metrics(af, calculate_interface=False): # Also calculate pTM score for single chain per_chain_ptm[chain_label_i] = get_per_chain_ptm(af, cmap, start_i, end_i) - return pairwise_ifptm, pairwise_iptm, per_chain_ptm + return pairwise_actifptm, pairwise_iptm, per_chain_ptm From 4557594f054fb6f326d033755b78d4db48c22735 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 29 Oct 2024 14:28:15 +0200 Subject: [PATCH 51/56] created plotting for pariwise ptm-s and chain ptm --- af/examples/predict.ipynb | 65 +++++++-------------------------------- 1 file changed, 11 insertions(+), 54 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 0a75430d..5624a108 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -437,7 +437,7 @@ "num_extra_msa = 1024 #@param [\"1\",\"2\",\"4\",\"8\",\"16\",\"32\", \"64\", \"128\", \"256\", \"512\", \"1024\",\"2048\",\"4096\"] {type:\"raw\"}\n", "use_cluster_profile = True #@param {type:\"boolean\"}\n", "\n", - "#@markdown Extended metrics\n", + "#@markdown Extended metrics (calculate pairwise ipTM, actifpTM and chain pTM)\n", "extended_metrics = False #@param {type:\"boolean\"}\n", "\n", "if extended_metrics:\n", @@ -627,8 +627,8 @@ " if select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", " if extended_metrics:\n", - " ifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, ifptm_pairwise, per_chain_ptm])\n", + " actifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, actifptm_pairwise, per_chain_ptm])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -640,8 +640,8 @@ " if not select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", " if extended_metrics:\n", - " ifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, ifptm_pairwise, per_chain_ptm])\n", + " actifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", + " info[-1].extend([iptm_pairwise, actifptm_pairwise, per_chain_ptm])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -665,7 +665,7 @@ " tag=np.array(info[rank[0]][0]),\n", " metrics=np.array(info[rank[0]][1]),\n", " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", - " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", + " actifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", " cptm=np.array(info[rank[0]][5]) if len(info[rank[0]]) > 5 else np.array([]))\n", "np.savez_compressed(f\"{pdb_path}/all.npz\",\n", " plddt=np.array(af._tmp[\"traj\"][\"plddt\"], dtype=np.float16),\n", @@ -673,7 +673,7 @@ " tag=np.array([x[0] for x in info]),\n", " metrics=np.array([x[1] for x in info]),\n", " iptm_pairwise=np.array(info[rank[0]][3]) if len(info[rank[0]]) > 3 else np.array([]),\n", - " ifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", + " actifptm_pairwise=np.array(info[rank[0]][4]) if len(info[rank[0]]) > 4 else np.array([]),\n", " cptm=np.array(info[rank[0]][5]) if len(info[rank[0]]) > 5 else np.array([]))\n", "plot_3D(aux_best, Ls * copies, f\"{pdb_path}/best.pdf\", show=False)\n", "predict.plot_confidence(aux_best[\"plddt\"]*100, aux_best[\"pae\"], Ls * copies)\n", @@ -809,7 +809,6 @@ { "cell_type": "code", "source": [ - "#@title chain_and_pairwise_analysis\n", "import pandas as pd\n", "import seaborn as sns\n", "import numpy as np\n", @@ -842,59 +841,17 @@ " if chain in data.index:\n", " data.loc[chain, chain] = value\n", "\n", - " # create masks for lower, upper triangles, and diagonal\n", - " mask_upper = np.triu(np.ones(data.shape), k=1)\n", - " mask_lower = np.tril(np.ones(data.shape), k=-1)\n", - " mask_diagonal = np.eye(data.shape[0])\n", - "\n", - " figure_size = max(4, len(letters))\n", - "\n", - " # dynamically adjust the size, according to the number of chains\n", - " dynamic_fontsize = 11 + (figure_size / 2)\n", - " x_start = 0.3\n", - " x_offset = 0.1\n", - "\n", - " annot_kws={'size': dynamic_fontsize}\n", - "\n", - " # lower triangle with blue colors\n", - " sns.heatmap(data, mask=mask_upper + mask_diagonal, annot=True, cmap='Blues', cbar=False, edgecolor='grey',\n", - " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, annot_kws=annot_kws)\n", - "\n", - " # upper triangle with red colors\n", - " sns.heatmap(data, mask=mask_lower + mask_diagonal, annot=True, cmap='Reds', cbar=False, edgecolor='grey',\n", - " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, annot_kws=annot_kws)\n", - "\n", - " # diagonal with greys\n", - " diagonal_data = pd.DataFrame(np.diag(np.diag(data)), index=letters, columns=letters)\n", - " heatmap = sns.heatmap(diagonal_data, mask=~mask_diagonal.astype(bool), annot=True, cmap='Greys', cbar=True, edgecolor='grey',\n", - " linecolor='lightgrey', linewidths=0.5, vmax=1, vmin=0, square=True, ax=ax, cbar_kws={'shrink': 0.8}, annot_kws=annot_kws)\n", - "\n", - " # format colorbar\n", - " colorbar = heatmap.collections[2].colorbar\n", - " colorbar.outline.set_edgecolor('grey')\n", - " colorbar.outline.set_linewidth(0.5)\n", - "\n", - " # color the title, use it as a legend\n", - " ax.text(x_start, 1.05, 'ifpTM', fontsize=dynamic_fontsize, fontweight='bold', color='darkblue', ha='center', transform=ax.transAxes)\n", - " ax.text(x_start + x_offset, 1.05, ' - ', fontsize=dynamic_fontsize, fontweight='bold', color='black', ha='center', transform=ax.transAxes)\n", - " ax.text(x_start + 2 * x_offset, 1.05, 'cpTM', fontsize=dynamic_fontsize, fontweight='bold', color='dimgrey', ha='center', transform=ax.transAxes)\n", - " ax.text(x_start + 3 * x_offset, 1.05, ' - ', fontsize=dynamic_fontsize, fontweight='bold', color='black', ha='center', transform=ax.transAxes)\n", - " ax.text(x_start + 4 * x_offset, 1.05, 'ipTM', fontsize=dynamic_fontsize, fontweight='bold', color='firebrick', ha='center', transform=ax.transAxes)\n", - "\n", - " ax.set_yticks(ax.get_yticks())\n", - " ax.set_yticklabels(ax.get_yticklabels(), rotation=0, size=dynamic_fontsize)\n", - " ax.set_xticks(ax.get_xticks())\n", - " ax.set_xticklabels(ax.get_xticklabels(), size=dynamic_fontsize)\n", + " # Plot data on the axis\n", + " chains_ptms.plot_data_on_axis(data, ax=ax)\n", "\n", " plt.tight_layout()\n", " plt.savefig(f\"{pdb_path}/chain_pairwise_ptm.png\", dpi=200, bbox_inches='tight')\n", " plt.show()\n", "\n", - "plot_chain_pairwise_analysis(info)" + "plot_chain_pairwise_analysis(info)\n" ], "metadata": { - "id": "WoLg1yqYDbiX", - "cellView": "form" + "id": "WoLg1yqYDbiX" }, "execution_count": null, "outputs": [] From 860122e53c96b3e6b00ee9d0cbdf782d88c20de4 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 5 Nov 2024 11:33:26 +0200 Subject: [PATCH 52/56] Rename chains_ptms.py to extended_metrics.py --- colabdesign/af/{chains_ptms.py => extended_metrics.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename colabdesign/af/{chains_ptms.py => extended_metrics.py} (100%) diff --git a/colabdesign/af/chains_ptms.py b/colabdesign/af/extended_metrics.py similarity index 100% rename from colabdesign/af/chains_ptms.py rename to colabdesign/af/extended_metrics.py From 5b309468c51774cd37ab7ecd3123c4915f41b697 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 5 Nov 2024 11:35:41 +0200 Subject: [PATCH 53/56] adding extended metrics from colabfold --- af/examples/predict.ipynb | 162 +++++++++++++++++++++++++++++++++----- 1 file changed, 144 insertions(+), 18 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 5624a108..173c2301 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -4,7 +4,7 @@ "metadata": { "colab": { "provenance": [], - "gpuType": "A100", + "gpuType": "T4", "machine_shape": "hm", "include_colab_link": true }, @@ -60,6 +60,7 @@ " os.system(\"pip -q install git+https://github.com/gezmi/ColabDesign.git@gamma\")\n", " os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/colabdesign colabdesign\")\n", " os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/main/colabfold/colabfold.py -O colabfold_utils.py\")\n", + " os.system(\"wget https://raw.githubusercontent.com/gezmi/ColabFold/actifptm/colabfold/alphafold/extended_metrics.py -O extended_metrics.py\")\n", " #os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/beta/colabfold/mmseqs/api.py\")\n", "\n", " # install hhsuite\n", @@ -183,16 +184,32 @@ ], "metadata": { "cellView": "form", - "id": "NsRHgcGPs4fL" + "id": "NsRHgcGPs4fL", + "outputId": "fe56c6d7-60d0-48aa-8b4e-9fd7118890de", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "execution_count": null, - "outputs": [] + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "installing ColabDesign\n", + "installing HHsuite\n", + "downloading AlphaFold params\n", + "CPU times: user 1.73 s, sys: 263 ms, total: 2 s\n", + "Wall time: 2min 15s\n" + ] + } + ] }, { "cell_type": "code", "source": [ "#@title prep_inputs\n", - "sequence = \"PIAQIHILEGRSDEQKETLIREVSEAISRSLDAPLTSVRVIITEMAKGHFGIGGELASK\" #@param {type:\"string\"}\n", + "sequence = \"MSGNREQVFPTRMTLGLMKTKLKGANQGYSLLKRKSEALTKRFRDITKRIDDAKQKMGRVMQTAAFSLAEVSYATGENIGYQVQESVSTARFKVRARQENVSGVYLSQFESYIDPEINDFRLTGLGRGGQQVQRAKEIYSRAVETLVELASLQTAFIILDEVIKVTNRRVNAIEHVIIPRTENTIAYINSELDELDREEFYRLKKVQEKKQNETAKLDAEMKLKRDRAEQDASEVAADEEPQGETLVADQEDDVIF:MAEKRTLIAVIADEDTTTGLLLAGIGQITPETQEKNFFVYQEGKTTKEEITDKFNHFTEERDDIAILLINQHIAENIRARVDSFTNAFPAILEIPSKDHPYDPEKDSVLKRVRKLFGE\" #@param {type:\"string\"}\n", "jobname = \"test\" #@param {type:\"string\"}\n", "\n", "copies = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", @@ -396,10 +413,66 @@ ], "metadata": { "id": "7pYi5tmHe34I", - "cellView": "form" + "cellView": "form", + "outputId": "5ddbbe55-3f31-44dd-ee24-bd1ead08d876", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 666 + } }, - "execution_count": null, - "outputs": [] + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "jobname test_2ffb9\n", + "length=[256, 118] copies=1\n", + "getting paired MSA\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "COMPLETE: 100%|██████████| 300/300 [elapsed: 00:03 remaining: 00:00]\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "getting unpaired MSA\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "COMPLETE: 100%|██████████| 300/300 [elapsed: 00:03 remaining: 00:00]\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "parsing msas\n", + "gathering info\n", + "filtering sequences\n", + "selecting final sequences\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] }, { "cell_type": "code", @@ -417,10 +490,33 @@ ], "metadata": { "cellView": "form", - "id": "RQJEQQWOk-aL" + "id": "RQJEQQWOk-aL", + "outputId": "4271ba10-6510-4aa6-e41a-8a951530def9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 462 + } }, - "execution_count": null, - "outputs": [] + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "GC 6508\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] }, { "cell_type": "code", @@ -438,7 +534,7 @@ "use_cluster_profile = True #@param {type:\"boolean\"}\n", "\n", "#@markdown Extended metrics (calculate pairwise ipTM, actifpTM and chain pTM)\n", - "extended_metrics = False #@param {type:\"boolean\"}\n", + "extended_metrics = True #@param {type:\"boolean\"}\n", "\n", "if extended_metrics:\n", " debug=True\n", @@ -536,10 +632,22 @@ ], "metadata": { "id": "0AefVJipkQe3", - "cellView": "form" + "cellView": "form", + "outputId": "184e10cf-58a3-4054-e9b2-9232e5165020", + "colab": { + "base_uri": "https://localhost:8080/" + } }, - "execution_count": null, - "outputs": [] + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "loading alphafold params\n" + ] + } + ] }, { "cell_type": "code", @@ -685,10 +793,27 @@ ], "metadata": { "id": "xYXcKFPQyTQU", - "cellView": "form" + "cellView": "form", + "outputId": "24ffd863-38d4-4695-c346-a46c1497d817", + "colab": { + "base_uri": "https://localhost:8080/" + } }, "execution_count": null, - "outputs": [] + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "running prediction\n", + "seed=0 model=model_1_multimer_v3 recycle=0 plddt=0.863 ptm=0.757 i_ptm=0.892 multi=0.865\n", + "seed=0 model=model_1_multimer_v3 recycle=1 plddt=0.871 ptm=0.774 i_ptm=0.899 multi=0.874 rmsd_tol=1.835\n", + "seed=0 model=model_1_multimer_v3 recycle=2 plddt=0.869 ptm=0.770 i_ptm=0.895 multi=0.870 rmsd_tol=1.301\n", + "seed=0 model=model_1_multimer_v3 recycle=3 plddt=0.870 ptm=0.771 i_ptm=0.891 multi=0.867 rmsd_tol=0.841\n", + "seed=0 model=model_1_multimer_v3 recycle=4 plddt=0.870 ptm=0.770 i_ptm=0.891 multi=0.867 rmsd_tol=0.750\n" + ] + } + ] }, { "cell_type": "code", @@ -809,6 +934,7 @@ { "cell_type": "code", "source": [ + "#@title Chain and pairwise analysis\n", "import pandas as pd\n", "import seaborn as sns\n", "import numpy as np\n", @@ -842,7 +968,7 @@ " data.loc[chain, chain] = value\n", "\n", " # Plot data on the axis\n", - " chains_ptms.plot_data_on_axis(data, ax=ax)\n", + " extended_metrics.plot_data_on_axis(data, ax=ax)\n", "\n", " plt.tight_layout()\n", " plt.savefig(f\"{pdb_path}/chain_pairwise_ptm.png\", dpi=200, bbox_inches='tight')\n", From 752e4758fb0fd0fedf245bdd6658d0ad6b3b36b3 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 5 Nov 2024 13:08:54 +0200 Subject: [PATCH 54/56] Delete extended_metrics, replace from colabfold --- colabdesign/af/extended_metrics.py | 273 ----------------------------- 1 file changed, 273 deletions(-) delete mode 100644 colabdesign/af/extended_metrics.py diff --git a/colabdesign/af/extended_metrics.py b/colabdesign/af/extended_metrics.py deleted file mode 100644 index e8be49d3..00000000 --- a/colabdesign/af/extended_metrics.py +++ /dev/null @@ -1,273 +0,0 @@ -import numpy as np -from colabdesign.af.alphafold.common import confidence -from colabdesign.af import loss -import string -from copy import deepcopy -import jax.numpy as jnp -import jax -import scipy - -""" Functions to calculate interface metrics on actual interfaces""" - - -def get_chain_indices(chain_boundaries): - """Returns a list of tuples indicating the start and end indices for each chain.""" - chain_starts_ends = [] - unique_chains = np.unique(chain_boundaries) - for chain in unique_chains: - positions = np.where(chain_boundaries == chain)[0] - chain_starts_ends.append((positions[0], positions[-1])) - return chain_starts_ends - - -def predicted_tm_score_modified(logits, breaks, residue_weights=None, - asym_id=None, use_jnp=False, pair_residue_weights=None): - """Computes predicted TM alignment or predicted interface TM alignment score. - - Args: - logits: [num_res, num_res, num_bins] the logits output from - PredictedAlignedErrorHead. - breaks: [num_bins] the error bins. - residue_weights: [num_res] the per residue weights to use for the - expectation. - asym_id: [num_res] the asymmetric unit ID - the chain ID. Only needed for - ipTM calculation. - pair_residue_weights: [num_res, num_res] unnormalized weights for actifptm calculation - - Returns: - ptm_score: The predicted TM alignment or the predicted iTM score. - """ - if use_jnp: - _np, _softmax = jnp, jax.nn.softmax - else: - _np, _softmax = np, scipy.special.softmax - - # residue_weights has to be in [0, 1], but can be floating-point, i.e. the - # exp. resolved head's probability. - if residue_weights is None: - residue_weights = _np.ones(logits.shape[0]) - bin_centers = confidence._calculate_bin_centers(breaks, use_jnp=use_jnp) - num_res = residue_weights.shape[0] - - # Clip num_res to avoid negative/undefined d0. - clipped_num_res = _np.maximum(num_res, 19) - - # Compute d_0(num_res) as defined by TM-score, eqn. (5) in Yang & Skolnick - # "Scoring function for automated assessment of protein structure template - # quality", 2004: http://zhanglab.ccmb.med.umich.edu/papers/2004_3.pdf - d0 = 1.24 * (clipped_num_res - 15) ** (1. / 3) - 1.8 - - # Convert logits to probs. - probs = _softmax(logits, axis=-1) - - # TM-Score term for every bin. - tm_per_bin = 1. / (1 + _np.square(bin_centers) / _np.square(d0)) - import seaborn as sns - import matplotlib.pyplot as plt - # E_distances tm(distance). - predicted_tm_term = (probs * tm_per_bin).sum(-1) - - if asym_id is None: - pair_mask = _np.full((num_res, num_res), True) - else: - pair_mask = asym_id[:, None] != asym_id[None, :] - - predicted_tm_term *= pair_mask - - # If pair_residue_weights is provided (e.g. for if_ptm with contact probabilities), - # it should not be overwritten - if pair_residue_weights is None: - pair_residue_weights = pair_mask * (residue_weights[None, :] * residue_weights[:, None]) - normed_residue_mask = pair_residue_weights / (1e-8 + pair_residue_weights.sum(-1, keepdims=True)) - - per_alignment = (predicted_tm_term * normed_residue_mask).sum(-1) - - return (per_alignment * residue_weights).max() - - -def get_ptm_modified(inputs, outputs, interface=False): - """ This function is the same as in the original AF2, just calls a modified TM-score calculation function.""" - - pae = {"residue_weights": inputs["seq_mask"], **outputs["predicted_aligned_error"]} - - if interface: - if "asym_id" not in pae: - pae["asym_id"] = inputs["asym_id"] - else: - if "asym_id" in pae: - pae.pop("asym_id") - - return predicted_tm_score_modified(**pae, use_jnp=True) - - -def get_actifptm_probs(af, cmap, start_i, end_i, start_j, end_j): - """ - This function calculates the interface PTM score for a given interface, taking into account the contact probabilities, not binary contacts. - - Args: - af: AlphaFold object - cmap: Contact map - start_i, end_i: Start and end indices of the first chain - start_j, end_j: Start and end indices of the second chain - - Returns: - actifptm: Interface pTM score - ipTM: Interchain pTM score - """ - - total_length = len(af._inputs['asym_id']) - outputs = deepcopy(af.aux['debug']['outputs']) - inputs_actifptm = {} - - # Create a new matrix, which contains only the contacts between the two chains - cmap_copy = np.zeros((total_length, total_length)) - cmap_copy[start_i:end_i + 1, start_j:end_j + 1] = cmap[start_i:end_i + 1, start_j:end_j + 1] - cmap_copy[start_j:end_j + 1, start_i:end_i + 1] = cmap[start_j:end_j + 1, start_i:end_i + 1] - - # Initialize new input dictionary - inputs_actifptm['seq_mask'] = np.full(total_length, 0, dtype=float) - inputs_actifptm['asym_id'] = af._inputs['asym_id'] - # Update seq_mask for these positions to True within inputs - inputs_actifptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), - np.arange(start_j, end_j + 1)))] = 1 - - # Call get_ptm with updated inputs and outputs - pae = {"residue_weights": inputs_actifptm["seq_mask"], - **outputs["predicted_aligned_error"], - "asym_id": inputs_actifptm["asym_id"]} - actifptm_probs = round(float(predicted_tm_score_modified(**pae, use_jnp=True, - pair_residue_weights=cmap_copy)), 3) - - return actifptm_probs - - -def get_actifptm_contacts(af, cmap, start_i, end_i, start_j, end_j): - """ - This function calculates the interface PTM score for a given interface, taking into account binary contacts. - In case of no confident contacts, the interface PTM score is set to 0. - - Args: - af: AlphaFold object - cmap: Contact map - start_i, end_i: Start and end indices of the first chain - start_j, end_j: Start and end indices of the second chain - - Returns: - actifptm: Interface pTM score - ipTM: Interchain pTM score - """ - - # Prepare a dictionary to collect the inputs for calculation - inputs_actifptm = {} - contacts = np.where(cmap[start_i:end_i + 1, start_j:end_j + 1] >= 0.6) - total_length = len(af._inputs['asym_id']) - outputs = deepcopy(af.aux['debug']['outputs']) - - if contacts[0].size > 0: # If there are contacts - # Convert local chain positions back to global positions using JAX - global_i_positions = contacts[0] + start_i - global_j_positions = contacts[1] + start_j - global_positions = list(set(np.concatenate((global_i_positions, global_j_positions)))) - global_positions = np.array(global_positions, dtype=int) - global_positions.sort() - - # Initialize new input dictionary - inputs_actifptm['seq_mask'] = np.full(total_length, 0, dtype=float) - inputs_actifptm['asym_id'] = af._inputs['asym_id'] - # Update seq_mask for these positions to True within inputs - inputs_actifptm['seq_mask'][global_positions] = 1 - # Call get_ptm with updated inputs and outputs - actifptm = round(float(get_ptm_modified(inputs_actifptm, outputs, interface=True)), 3) - else: - actifptm = 0 - - return actifptm - - -def get_pairwise_iptm(af, start_i, end_i, start_j, end_j): - """This will calculate ipTM as usual, just between given chains""" - - input_pairwise_iptm = {} - - # Prepare inputs - outputs = deepcopy(af.aux['debug']['outputs']) - input_pairwise_iptm['seq_mask'] = np.full(len(af._inputs['asym_id']), 0, dtype=float) - input_pairwise_iptm['asym_id'] = af._inputs['asym_id'] - input_pairwise_iptm['seq_mask'][np.concatenate((np.arange(start_i, end_i + 1), - np.arange(start_j, end_j + 1)))] = 1 - - return round(float(get_ptm_modified(input_pairwise_iptm, outputs, interface=True)), 3) - - -def get_per_chain_ptm(af, cmap, start, end): - """ - Calculates the chain PTM score for a specified interface region, using contact probabilities. - - Args: - af: AlphaFold object - cmap: Contact map - start: Start index of the interface region - end: End index of the interface region - - Returns: - cpTM: Chain pTM score - """ - # Extract only the relevant subset of the contact map - cmap_subset = cmap[start:end + 1, start:end + 1] - - # Extract only the relevant subset of the logits map - pae_copy = deepcopy(af.aux['debug']['outputs'])["predicted_aligned_error"] - pae_copy['logits'] = pae_copy['logits'][start:end + 1, start:end + 1, :] - - # Prepare inputs for the modified predicted_tm_score function - pae_copy['residue_weights'] = np.ones(end - start + 1, dtype=float) - del (pae_copy['asym_id']) - - # Calculate and return chain PTM score - cptm_probs = round(float(predicted_tm_score_modified(**pae_copy, use_jnp=True)), 3) - - return cptm_probs - - -def get_pairwise_interface_metrics(af, calculate_interface=False): - """ - This function iterates over all pairs of chains and calculates the interface and interchain PTM score for each pair. - - Args: - af: AlphaFold object - calculate_interface: If True, calculate interface pTM score based on contact probabilities. If False, calculate interface pTM score based on binary contacts. - - Returns: - pairwise_actifptm: Dictionary containing pairwise interface pTM scores - pairwise_iptm: Dictionary containing pairwise interchain pTM scores - """ - - # Prepare a dictionary to collect results - pairwise_actifptm = {} - pairwise_iptm = {} - per_chain_ptm = {} - chain_starts_ends = get_chain_indices(af._inputs['asym_id']) - - # Generate chain labels (A, B, C, ...) - chain_labels = list(string.ascii_uppercase) - - cmap = loss.get_contact_map(af.aux['debug']['outputs'], 8) # Define interface with 8A between Cb-s - for i, (start_i, end_i) in enumerate(chain_starts_ends): - chain_label_i = chain_labels[i % len(chain_labels)] # Wrap around if more than 26 chains - for j, (start_j, end_j) in enumerate(chain_starts_ends): - chain_label_j = chain_labels[j % len(chain_labels)] # Wrap around if more than 26 chains - if i < j: # Avoid self-comparison and duplicate comparisons - key = f"{chain_label_i}-{chain_label_j}" - - if calculate_interface: - pairwise_actifptm[key] = get_actifptm_contacts(af, cmap, start_i, end_i, start_j, end_j) - else: - pairwise_actifptm[key] = get_actifptm_probs(af, cmap, start_i, end_i, start_j, end_j) - - # Also add regular i_ptm (interchain), pairwise - pairwise_iptm[key] = get_pairwise_iptm(af, start_i, end_i, start_j, end_j) - - # Also calculate pTM score for single chain - per_chain_ptm[chain_label_i] = get_per_chain_ptm(af, cmap, start_i, end_i) - - return pairwise_actifptm, pairwise_iptm, per_chain_ptm From d14e96a499bd9b9da84c3a5f9831eb16c7e09630 Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Tue, 5 Nov 2024 13:14:12 +0200 Subject: [PATCH 55/56] fixed calculation of extended metrics --- af/examples/predict.ipynb | 224 ++++++-------------------------------- 1 file changed, 31 insertions(+), 193 deletions(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index 173c2301..c8e54c5c 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -57,10 +57,10 @@ " aria2c -q -x 16 https://storage.googleapis.com/alphafold/alphafold_params_2022-12-06.tar; \\\n", " tar -xf alphafold_params_2022-12-06.tar -C params; touch params/done.txt )&\")\n", "\n", - " os.system(\"pip -q install git+https://github.com/gezmi/ColabDesign.git@gamma\")\n", + " os.system(\"pip -q install git+https://github.com/gezmi/ColabDesign.git@gamma\") # TODO: change to sokrypton\n", " os.system(\"ln -s /usr/local/lib/python3.*/dist-packages/colabdesign colabdesign\")\n", " os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/main/colabfold/colabfold.py -O colabfold_utils.py\")\n", - " os.system(\"wget https://raw.githubusercontent.com/gezmi/ColabFold/actifptm/colabfold/alphafold/extended_metrics.py -O extended_metrics.py\")\n", + " os.system(\"wget https://raw.githubusercontent.com/gezmi/ColabFold/actifptm/colabfold/alphafold/extended_metrics.py -O extended_metrics.py\") # TODO: change to sokrypton\n", " #os.system(\"wget https://raw.githubusercontent.com/sokrypton/ColabFold/beta/colabfold/mmseqs/api.py\")\n", "\n", " # install hhsuite\n", @@ -85,8 +85,7 @@ "from colabdesign.af.contrib.cyclic import add_cyclic_offset\n", "from colabdesign.shared.protein import _np_rmsd, _np_kabsch\n", "from colabdesign.shared.plot import plot_pseudo_3D, pymol_cmap\n", - "from colabdesign.af import chains_ptms\n", - "\n", + "import extended_metrics\n", "\n", "import jax\n", "import jax.numpy as jnp\n", @@ -184,32 +183,16 @@ ], "metadata": { "cellView": "form", - "id": "NsRHgcGPs4fL", - "outputId": "fe56c6d7-60d0-48aa-8b4e-9fd7118890de", - "colab": { - "base_uri": "https://localhost:8080/" - } + "id": "NsRHgcGPs4fL" }, - "execution_count": 1, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "installing ColabDesign\n", - "installing HHsuite\n", - "downloading AlphaFold params\n", - "CPU times: user 1.73 s, sys: 263 ms, total: 2 s\n", - "Wall time: 2min 15s\n" - ] - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", "source": [ "#@title prep_inputs\n", - "sequence = \"MSGNREQVFPTRMTLGLMKTKLKGANQGYSLLKRKSEALTKRFRDITKRIDDAKQKMGRVMQTAAFSLAEVSYATGENIGYQVQESVSTARFKVRARQENVSGVYLSQFESYIDPEINDFRLTGLGRGGQQVQRAKEIYSRAVETLVELASLQTAFIILDEVIKVTNRRVNAIEHVIIPRTENTIAYINSELDELDREEFYRLKKVQEKKQNETAKLDAEMKLKRDRAEQDASEVAADEEPQGETLVADQEDDVIF:MAEKRTLIAVIADEDTTTGLLLAGIGQITPETQEKNFFVYQEGKTTKEEITDKFNHFTEERDDIAILLINQHIAENIRARVDSFTNAFPAILEIPSKDHPYDPEKDSVLKRVRKLFGE\" #@param {type:\"string\"}\n", + "sequence = \"PASQHFLSTSVQGPWERAISPNKVPYYINHETQTTCWDHPKM:KNMTPYRSPPPYVPP\" #@param {type:\"string\"}\n", "jobname = \"test\" #@param {type:\"string\"}\n", "\n", "copies = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\"] {type:\"raw\"}\n", @@ -413,66 +396,10 @@ ], "metadata": { "id": "7pYi5tmHe34I", - "cellView": "form", - "outputId": "5ddbbe55-3f31-44dd-ee24-bd1ead08d876", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 666 - } + "cellView": "form" }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "jobname test_2ffb9\n", - "length=[256, 118] copies=1\n", - "getting paired MSA\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "COMPLETE: 100%|██████████| 300/300 [elapsed: 00:03 remaining: 00:00]\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "getting unpaired MSA\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "COMPLETE: 100%|██████████| 300/300 [elapsed: 00:03 remaining: 00:00]\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "parsing msas\n", - "gathering info\n", - "filtering sequences\n", - "selecting final sequences\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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SIH3yyScm+8bExEgjRoyQQkJCJDc3Nyk4OFhq166d9NVXXxV4HQVBEMwllkUVBKHQDKtNZV9JSnAtp0+fpmHDhnz//ff06dPH3tkRBKGEEn1SBUEQSrDU1NQc2xYsWIBcLqdly5Z2yJEgCIKe6JMqCIJQgs2dO5cTJ07Qpk0blEolW7ZsYcuWLbz55ps5prsSBEGwJRGkCoIglGDNmzdnx44dTJ8+neTkZCpVqsSUKVNyTI0lCIJga6JPqiAIgiAIgovZt28f8+bN48SJE0RFRbFx40a6du2a72v27NlDREQEFy5cICQkhIkTJzJgwACb5Dc3ok+qIAiCIAiCi9FoNNSvX58vvviiUPtHRkbSqVMn2rRpw+nTpxk9ejRDhgxh27ZtxZzTvImaVEEQBEEQBBcmk8kKrEkdN24cmzZtMlmwo3fv3sTHx7N161Yb5DIn0Se1EHQ6HXfv3sXHx8fiZQoFQRAEQbAtSZJISkqifPnyJssW28qjR49MVu4rKkmScsQharXaZPljSx0+fDjHssfh4eGMHj26yGlbSgSphXD37l0xylUQBEEQnNTt27epWLGiTY/56NEjynqEkky01dL09vbOsbT05MmTmTJlSpHTjo6OJigoyGRbUFAQiYmJpKam4uHhUeRjmEsEqYVgWNYw5KPLyN19CthbEATBtZx9x8v4d73/01icji49hdvTqwEQMukacpVnkfMmCPnRPUri9syncyxPbAvp6ekkE81o+W3U+BY5vTQSWZAcwu3bt/H1fZKeNWpRHZUIUgvBULX+b0MlMi9xyQRBKFlKHUp78qCx5fdA6ZHC+Pff44Lx8vJCsTW2KFlzGNqXywK4zPm4CkmjL6/27Kqnxhe1rOhBKo9HEPn6+poEqdYSHBxMTEyMybaYmBh8fX3tUosKIkg1i6enFpmn1t7ZEARBsJmklsFWS0uj8cQ72zbty2Xx2We95lB7MZyDp6gcdiiSpMXyun/r0ClAZ4UYWScBuqKnk5ewsDA2b95ssm3Hjh2EhYUV30ELIIJUM9xtEWTxr5eg43esnBtBEARTMY0r5NiW373HsH9++1jz3iWlpuSavqsFdjGNK1j9nl+Y90rISadzsSA1o/D7Jycnc+3aNePjyMhITp8+TUBAAJUqVWLChAncuXOHb7/9FoBhw4axePFiPvjgAwYNGsSuXbv46aef2LRpU9EzbyGHCVI/+eQTJkyYwLvvvsuCBQsAfafj9957jx9++IG0tDTCw8NZsmSJScfeW7duMXz4cHbv3o23tzf9+/dn9uzZKJVPTs1ak9PW/fsWcm/L+rV42qemXBCEEiT0wj85tuV37zHsb6v7k07KzLEta2CdW/6dUeiFf6x+TW39XrkKnTZnmSspjh8/Tps2bYyPIyIiAOjfvz+rV68mKiqKW7duGZ8PDQ1l06ZNjBkzhoULF1KxYkW+/vprwsPDbZ53A4cIUo8dO8aXX35JvXr1TLaPGTOGTZs2sW7dOvz8/Bg5ciTdu3fn4MGDAGi1Wjp16kRwcDCHDh0iKiqKfv364ebmxqxZs4Ank9MOGzaMNWvWsHPnToYMGUK5cuXMvvDnalUyqUmtfulm0U5cEATByq7WrGLy2JHuUzpF/tNyKwt43pEZrrsjXW+h4DJnC1olaK1Qk6o181Rat25NflPhr169OtfXnDp1ysycFR+7B6nJycn06dOH5cuXM2PGDOP2hIQEVqxYwdq1a2nbti0Aq1atolatWhw5coRmzZqxfft2Ll68yJ9//klQUBANGjRg+vTpjBs3jilTpqBSqVi2bBmhoaF89tlnANSqVYsDBw4wf/58s4PUZ6/dRJGlJtUOU64JgiDk6+krkSaPHeo+Jc//W1ZewPPOwBXOwZVIDvB+WLW5v4Sxe5A6YsQIOnXqRPv27U2C1BMnTpCRkWEysWzNmjWpVKkShw8fplmzZhw+fJi6deuaNP+Hh4czfPhwLly4QMOGDS2anDYtLY20tCejWRMTEwGQyyRxAxIEwWH9Xe0pAGpdu2HnnOQh2/0zez4dKqC2kPiOcCySTLwfzsyuQeoPP/zAyZMnOXbsWI7noqOjUalU+Pv7m2wPCgoiOjrauE9uE88anstvn/wmp509ezZTp07NsV0uk5CLAi8IgoOqc/06AHJHXRgv2/3z72pPGfPs7Bz+2pdQjhCk6uT6f0VOpxhH9jsqu/1uvX37Nu+++y5r1qzB3d3dXtnI1YQJE0hISDD+u337tr2zJAiC4JIuVK1q/CcIrkhSWO9fSWO3mtQTJ05w7949nn32WeM2rVbLvn37WLx4Mdu2bSM9PZ34+HiT2tSYmBiCg/Xz9gUHB3P06FGTdA0T0Wbdx9zJafNaB1cud43mKEEQBLso4P4p7q+CtUmiTDk1uwWp7dq149y5cybbBg4cSM2aNRk3bhwhISG4ubmxc+dOevToAcDly5e5deuWcWLZsLAwZs6cyb179wgMDAT0E8/6+vpSu3Zt4z7WmpxWqZBQKEpgfbsgCIIVaAu4fyrF/VWwMpkDjO7XKazU3F8Cu5LYLUj18fHhmWeeMdnm5eVF6dKljdsHDx5MREQEAQEB+Pr6MmrUKMLCwmjWrBkAL730ErVr16Zv377MnTuX6OhoJk6cyIgRI4w1oY44Oa0gCIIgCCWDCFItZ/fR/fmZP38+crmcHj16mEzmb6BQKPjjjz8YPnw4YWFheHl50b9/f6ZNm2bcx5qT04qBU4IgOLMTITXyfb7R7SvFevyCBrE48/3VcG2L+xoK5nGEgVOC5WRSfjO9CoB+Cio/Pz8a/n0chU/2lacFQRCEwtCmpHCqhn4cQnJyMl5eXkVO87k7l4uchrUdq/C0Q+arJNImJXOqVmMSEhIsXtbcUobY4c2QBFTyoh87XZfIV7f97HIu9uLQNamOZk/56iYFo+ndS3bMjSAIQv7+Kl/T3lkwodFoyO9nviX3VEec8qnp3UsOma+SyBFqUrUKCa0V5s/VOsC52JoIUi3QIuZvAJQlcDoIR3MwqBbw5D0RBOEJR/tcaDUpObZlzaM976mGewlYdt2K+14k7nUWcoCBU4LlRJBqhvDYSygfeYtfyA7ImfuyCUJJkVutVtbg8IV7F22ZHRNZjy2Xwf7A2jm2F0Zx34vEvc48jnC9dAr9vyKnoy16Gs5GBKlm2Fa2pklzf6vYC3bMjQBP3gPxw0EQHJ8zDZyy9N5SXOcg7nWWcYQyZbUgtehJOB0RpJqhU9xFlBlPelSJiaftb3dp/XRlbR6ct3NOrGN36Wdc5lwE23P0z4NUQL88R1j3vqifweI6B0d/bx2VI5QpwXIiSBUEO8jri1B8AQlFIcpP0bV5cN4YEBoeF/Z1gpAbUZNqORGkmkGOmCfVUTnb+9Iu7lyuzXY7A+rSLu5czieEEmlnQF2Tx85eNpylub9d3DnjtS9sngz7F/d75CjXyFnIsf/1khT6f0VOp+hJOB0RpJrh94A6Jn1Snf0LwxW42nvgaucjFI2jlAdbBWCOxNHO1dHyY23iB7qQGxGkmuGVh+dRarP0SRUd2O1uR6l6ALz48Kydc1I4hvzCkzw72zkIjie3cmVNhjQN9zxLy6wz1KTuKFWvSNfQVufgaveNFx+eLZbvVEcoU6K533IiSDWDXCYCU0fljO+LIc/h8aYBgCCYy1CGwDblyNIyW9Da447yGShKPorrHLb564NSw7UX943CcYTrI4JUy4kgVXBqWb+cnYGz5VdwfNv86xWpXBXm9YYACVy/DDvq+TlqvgShOIkg1QxymRg45Wi2+NUHoEPCGTvnpHAM+QXnybPgWLKWIYOsQaS55apDwhmzapuKcg8s6DiOdH+19N5SXOfgbPc6R+EIZUonl9BZYeUrnWT/c7E1EaSaQSHXoZSXxAp3x+cs70vnpFPGv5W5zLP7u09Dk30EITf5lZHcypW5fvdpaHKsgsptoRXwOXWkz7HhnM093+I6B0vzU9JJDlCmJCs195fAGFUEqeZwV2bipsy0dzaEXLi70PviSuciWN+rqcdwz+fOvc7jOaseL2vAWlQauQbvXLa/mnoMIN/zsjXDdTTkrbCK6/NraX5KOoW4nzo1B7olOD4PRSYqRYa9syFk0T/9EACeVviV6gj6px9ymXMRCu8bVXN7Z8FuHK3Mf6NqTv/0Q2bfW7Lub0jDmlztXmcr6Qr7B6laBcit8L5pRU2qkB9vRToqhZu9syFk8YWiNQAjtHvsmg9r+ULR2mXORSgcQxm2hLOVlQxtao5tlgbo1j73rPcSbwsCiqyvtzSNwqYvFM4XitYkqhL5wc75sNrofhGkCvlRyzNRy+3/q0zIyd2F3hdXOhehYO9Jf1r8Wvdc+id+Jmtvk2NbQpGtbFv73IvCkBdDuobraG4ei/vzK+4PQkkiglQzzJK1wVemX3FqnLTdzrkR4Mn74MwFeY7sJUB/LuOk7U59LkLxMpSVvBjKUGEVtqxlP66l9z9dtoUdlQ448+Mc2Usm17Gw1yjr/oY0ioMjXjNHNU7aTpqksXc2RE1qEYjvQzNMkf5ELXkBIAZYOpbZsnAmSNvsnY0icYQ1pgXHZijjs2XhuT5fUBBrLZYeRyPTsCDLY0ct89bIV3Gdm6NeM0flCNdLUkhIVpiCSiqBw/tFkCo4NcOXtTMHqFnz7grBtlD88iojeQWvhXltfqz1OUuXHuWabnbiMyAIAogg1SxTZO2Nzf0fSVvtnBshK0f4tWypmbKXAX2Z+kjaKmrpSyBDGTBX9vtQYe5LlpQvQ7pFLZvZP6d55deenwHDZzDr59ISoibVMTjC9dLJrdTcXwJ7eogg1QwzpO2oJU9ANPc7GrkT99OaJG0G9GVquqyj8bFQchje8+myjoXaz8DZ7kPZP6fO8Lm1NI/FdW7OcM0ciUMEqdbqk1oC33oRpAqCIDiIwv5AMQSzue1f1B86BQXKRaGRaZhbbKlbh+H6iR+Lzie3spsoS2SeHfIiWIcIUs0wUfaSsbl/srTJzrkRsnKEX8uWmirrBOjL1GRpk9PVjgm2Z7j/5FVW8gs0C7p3Fee9LXufVEf93IqBU84pt7KbJqXYISemRE2q5USQaiFDYJHn89IfNspJyWa4zoYv68my/5hsdwbZz0EoWQxl1lYKuncVJ41MwyfZ8uKIn1VLAsGs956p0h/F9nkWQap5ZA5wvbQKCbkVRvdrS+AcVCJINcMcaQvuj/ukFkQEHLYxSdYZgOnS7yb/O9P1z34OQsniCO+7oQza2nTpd4f8rFoSCGa990ySdS6291UEqXnLrRwnyhJNfhgJzkUEqWaQI4kbhINyhffFFc5BsK+PZF3snQWzOGqZtyRfhms/U/qNmdJvoibVDmZKv+XY9sgBmvslKzX3S6K5XxCcS243JWfjCucgCJbIGtjZW1EDfEc4B8ExiT6plhNBqhnel3XEV+bLbOlXe2dFcFETZK+I8iWUGIay7khN/rOlX4ucn+L8HIuaVPOI6+XcRJBqgQmyV5gj/WLvbAjAOFlXAKd+P7KewxzpF4f6whYci6GsZJW17NviczBO1tXi42Qf3e9I91JDPnL7/BXmnG31ORZBV+GNk3UlUZbINDvnw2qT+WuLnoazEUGqBeZJG0Ug4WCc9cb9vqwb86SNgGPVJgmOyVBWsspabt6XdbNJPnILlgtDI9PwcSHSyu08bc1wLedJGwt1z8/6Oc76ubY2Z73X2cM8aaOD9EmVkKwwut8aaTgbEaSaYZH0K+6SpwgmHMhn0s+A8wZ4n0k/876sh/FvQbDEe4/LkKuwx6pK72X7HBb13iJWnHIM4no5NxGkmkEuScilkvdLxpGNkfcEYL5uvZ1zYrn5kj7vuX0ZGs4PnPscheJlKEN5yVqOHEleZdoePzoN1/A9ec8if9bmS+t5z9r3Jpn+v5L4HVSU8psoS2SiFfNiCasNnLJCGs5GBKlmUKBDKX6VOSRXeV9GyV9jke4n4+Osf4sPqwD6MuIqxsh7mpRxR2GN+4nhvLJ/brN/xs3lKvc6c1h6vRzlsyKCVMuJ7z1BcCBZb8ZF/TITXFNBZcKSL2ZblbM03ZOBU0t1P6PWudvkuObI7VoU9Fk057PqCJ/pwpQRR8inIMgkqQS2HZgpMTERPz8/5j9Yjodv4VacEgRBsMRbyjdMHn+Zudbi1zoajUaDt7c3AMnJyXyvdpzp1rJeO3Ouua0Y8ueIeXNkqYkpjCk9lISEBHx9fW16bEPs0GxQLEpV0Y+dmZ7IkZVl7XIu9mLXmtSlS5eydOlSbt68CUCdOnX4+OOP6dChAwCtW7dm7969Jq956623WLZsmfHxrVu3GD58OLt378bb25v+/fsze/ZslMonp7Znzx4iIiK4cOECISEhTJw4kQEDBpid30HK1/BV5l4wVmR8b3Z6QtENdvsv4LrX33B+4LrnWNJlfY9z4+iBp6W+yfgfapXj1KRm/XwpsfyzN9jtv8X6WVWWxGWHikDpAPVwornfcnYNUitWrMgnn3xC9erVkSSJb775hldeeYVTp05Rp04dAIYOHcq0aU9mOfP0fFKTqdVq6dSpE8HBwRw6dIioqCj69euHm5sbs2bNAiAyMpJOnToxbNgw1qxZw86dOxkyZAjlypUjPDzcKufxXfpqVFZJSciqr2oA36Wvzncfw/Ouev2znr+rnmNJV1AZN0df1QCrpVXc+ru9jpebV67PWfOaWCprHgYX4l6U1WC3/xbbOaikzGJJ1xX1VQ0g0S2RUbxp76wIFrJrkNq5c2eTxzNnzmTp0qUcOXLEGKR6enoSHByc6+u3b9/OxYsX+fPPPwkKCqJBgwZMnz6dcePGMWXKFFQqFcuWLSM0NJTPPvsMgFq1anHgwAHmz59vtSC1r2oAa9JWWSUt4Yk1aavyHeXbRz1QXHehRCmozDv65+FRWlqh9nOkEex91AOBwufJ8B7kde8q6n3Lka6No1uTtoqUtFR7ZwOtHGRWmLJC66xzLRaBwwyc0mq1rFu3Do1GQ1hYmHH7mjVr+P777wkODqZz585MmjTJWJt6+PBh6tatS1BQkHH/8PBwhg8fzoULF2jYsCGHDx+mffv2JscKDw9n9OjReeYlLS2NtCw308TExBz7/Ji6wuSxw1zIEuTH1BV5XvdeHoNzvEeC4Ih6eQw2a39D0OSMNJkahjAcgPWp3+AuV+e6nz3vp9nvHYa/zclTfvef/O5bhaEsiQu4F4EjXC9JLqGzxmT+8pL3A8XusdW5c+cICwvj0aNHeHt7s3HjRmrXrg3AG2+8QeXKlSlfvjxnz55l3LhxXL58mQ0bNgAQHR1tEqACxsfR0dH57pOYmEhqaioeHh458jR79mymTp2ab76zfrFs1Hxp5lkLxW2j5kunbR7v5vVWvs+L8uZaLHk/CyojzkCly0TlAJ3sunm9ZfIeWHrvMLwnGzVfFuv9R6UTzf3myBTXy6nZPUh9+umnOX36NAkJCaxfv57+/fuzd+9eateuzZtvPulHUrduXcqVK0e7du24fv06VatWLbY8TZgwgYiICOPjxMREQkJC2Jb4FZ7kDGqdNRhyBZ18RwCwKfELO+fEego6F1HehILKiOFz4ci6eA3Gy0vfJ9Wen99NiV9Y5TNlOIduviOK5XwMaRry6or3vuKQqbV/kKpTgEwMnLKI3YNUlUpFtWrVAGjUqBHHjh1j4cKFfPllztqFpk2bAnDt2jWqVq1KcHAwR48eNdknJiYGwNiPNTg42Lgt6z6+vr651qICqNVq1OqczVDhvm8WetqHbfGLCrWfYLlw/1HG62z3giwIRRDuP8reWbCr7EG1Pe+fhveiKHkojibm7PkS976ccvscJZIIvG/7zGQhglTLOVz51ul0Jv1Bszp9+jQA5cqVAyAsLIyZM2dy7949AgMDAdixYwe+vr7GLgNhYWFs3rzZJJ0dO3aY9Hu1tp1xCxzvwrqgnXELCA8Ybfzb1bQLGO2S5yXkZM33ud3jz4QzC/cfZdOyn/2aFeUeXlz3f8P1cKXvlqzX3Rrvd25paBIf5dxRcBp2Le8TJkygQ4cOVKpUiaSkJNauXcuePXvYtm0b169fZ+3atXTs2JHSpUtz9uxZxowZQ8uWLalXrx4AL730ErVr16Zv377MnTuX6OhoJk6cyIgRI4w1ocOGDWPx4sV88MEHDBo0iF27dvHTTz+xadMmq5/P/nufAqI5tji8EDjWeH2zcvZrntd5gf7cnPW8hMJ5IXCsvbPgkGxd9vff+9T4Xlh67KyvLw7Fnb49ZD2X4nq/MxyguV9SSEjWGDhlhTScjV2D1Hv37tGvXz+ioqLw8/OjXr16bNu2jRdffJHbt2/z559/smDBAjQaDSEhIfTo0YOJEycaX69QKPjjjz8YPnw4YWFheHl50b9/f5N5VUNDQ9m0aRNjxoxh4cKFVKxYka+//tqi6ac0Gg0KxZP69lvnJ5k8X8aCayAUzt+RETz7zPQc19wclYr4+qKq9Mz0HNs0Gg3PeulHO9szb4J9/B0ZkWu5cFUajSbXv+1xL81+3Q35KRN516L0/o7Uj2MorrxrvIqWP0djq3KfqE0E7Htv1VlpCipdCZyCSiyLWgiGpc0EQRAEQXA+9lwWtc7YGBTqoh9bm5bIhU+DxLKogiAIgiAIQtGJgVOWE0GqGeoPjUShKhm/XgRBEKxNm6HhzFeVAP0sK4YpqAShuCQmJlK+fHm75kErl8AK/Um1YjJ/IT/Xn5Mj8yyBnUIEQXAoiX38AfBdE2+VtKyRTmFIj+Twlf5vLy8vEaQKxU6r1do7C0IRiCDVDMm+OmSeosALgmBf8t8f6P+wQsOO/PcHRU5H17n0k7TyIanE/VMoeURzv+VEkGoGtWcmMi/7T2chuJbUtvplez12xRSwpyDYn6G8wpMya/hfXUDFqCTPJPdZsAXBdenkEjIrNNXrRHO/kB+lUkKmLHmFRChePvuiAVCKT6NQSEkt9SvqGcqOLY6Vm6wBa2FoNBq8i5ohQRBKDPG1aAYRpAqC4AhKHYoCbPPDxnAsa5BSU6yWliA4C0lhnaZ6STT3C/lRKHTIldZfk1kQBKEkkMT9UyiBdArrjO7XiRWnhPwolRJyUZMqCIJgEZ24fwqCYAYRpJpBBKmCtd2uF0LI2dv2zobgohytfJXEmiBBkOT6f9ZIp6QRQaoZ5DIJuUzcZAXrqXzuFnKZvXMhuKrClq9/6lbK8bpiIe6fQglkz+b+L774gnnz5hEdHU39+vVZtGgRTZo0yXP/BQsWsHTpUm7dukWZMmXo2bMns2fPxt3dvShZt5gIUs1woU4Ivr6+hF74x95ZEQRBsJrs9zR5cdXYlMApdATBXn788UciIiJYtmwZTZs2ZcGCBYSHh3P58mUCAwNz7L927VrGjx/PypUrad68OVeuXGHAgAHIZDI+//xzO5yBCFItIhc3WkGwueu1qgBQ9e+bds2HqzFcV4Nivb7i3imUQDoZYIUffjozW90+//xzhg4dysCBAwFYtmwZmzZtYuXKlYwfPz7H/ocOHaJFixa88cYbAFSpUoXXX3+dv/76q8h5t5QIUs3Q8Mo/yL19RPOsINhB9Us3AcTnD7haswrw5JoURfY0sl/fqzWrWOU4AIj3TiiBdArAiitOJSYmmmxXq9Wo1WqTbenp6Zw4cYIJEyYYt8nlctq3b8/hw4dzTb958+Z8//33HD16lCZNmnDjxg02b95M3759i555C4kg1QynalTG19eXp69E2jsrgiCUYIZ7UFGb5S/XCM013ezbrNb8L2pSBaHIQkJCTB5PnjyZKVOmmGy7f/8+Wq2WoCDTBTeCgoK4dOlSrum+8cYb3L9/n+effx5JksjMzGTYsGF8+OGHVs2/OUSQaoYmN26g8PFBWQIn1BUEwfXUuX7d5HFx39t0CjFPqlDyaOUSkhWXRb19+za+vr7G7dlrUS21Z88eZs2axZIlS2jatCnXrl3j3XffZfr06UyaNMkqxzCXCFLNoFRIKMQUKg7jTJVq1L95zd7ZKLIzVaoBuMS5CEJ+xBRUQklk7eZ+X19fkyA1N2XKlEGhUBATE2OyPSYmhuDg3Jc6njRpEn379mXIkCEA1K1bF41Gw5tvvslHH32EvNhGVOZNBKlmOFS5aoEFwxLP3bls9TRLgufuXEblZu9cFJ3h/XeFcxGE/GjdtPbOgiCUCCqVikaNGrFz5066du0KgE6nY+fOnYwcOTLX16SkpOQIRBUKfWQsSfb5gSmCVDO0i76CUuNt9XSVJXCCXkFwRIfL1SyWdMOicu8DVlIYrqtGo8H6d1BBcGw6uWSV/tg6M9OIiIigf//+NG7cmCZNmrBgwQI0Go1xtH+/fv2oUKECs2fPBqBz5858/vnnNGzY0NjcP2nSJDp37mwMVm1NBKlmUCp0KEWfKoexP7A2L9y7aO9sCC6kuMpTSenHvj+wtr2zIAgOR1I8aaovajrm6NWrF7GxsXz88cdER0fToEEDtm7dahxMdevWLZOa04kTJyKTyZg4cSJ37tyhbNmydO7cmZkzZxY98xaSSfaqw3UiiYmJ+Pn50fz6EZQ+oh5AEEqyvWXrmP2aVrEXiiEn1pf93Kydb60mhYOh+tVukpOT8fLysmr6gpCd4fs7ISGhWLrrFebY/ktvI/Mo+rGl1ETih4fY5VzsRdSkmmFLmVr4+vrSLu6cvbMiADsD6or3QrA5S8qcs9SkZj83a+dbJlqihBJIslJzvzVmCHA2Iki1gLIEFhRHJd4LoSTZ5l8vx7bw+LN2z0NhadSiT6pQ8ujkEjIrzGwhglQhXz0SzqGUvMWKNw5ELnOtD+0Wv/p0SDhj72wIDqpDwhm2+NU32bbNv55Ny0xRjpWpSbViTgRBcHUiSDWDTCa5XFDk7Fzx/XDFcxKsY5Nvg1y3GwLXTomnbZIHS48jyrZQEunkILPCLD5SCZwJSASpguBAbBFkCM7PnuVElFFBMI9WLiETfVItIoJUMyjlOpRy0fHfkbjC+/Gr97MAvJJ80s45ERyNoWxk57Tl3lnzLQiCXYgg1Qw/eDfA19uXbpoT9s6K8JgrNB8aypNcBhu9GonyJRjlVhY2ejUyCV6dqby4wudVEMylU4DMDvOkugIRpAqCA3GmgEOwD1FGBMG56ERzv8VEkGoBp21qc0Gu9l6s83iOV1OP2TsbgmC0zuO5PJ8zu6y62OdVEITiJYJUC+R3086LCDwEQXBG4t4lCEUjRvdbTgSpZhiQehw3N8umoi6BZcsm5Lhe84crnpNQvH70aGL8u1fqUTvmJH+ibAslkb5PqhWa+0WfVCE/Srnkcs3Lzs4V3w9XPCfBOtaom+XY1iftCH3SjhgfKx35F7Eo24IgmEEEqWb4Wv0cvmpf+qcfsndWhMeUMuf80vtG1TzXctQ//RBKsaKZkIfcyowzlRfJST+vglAkcsk6g57EwCmhML5RNbd3FhzWcO1emx7L00mbP5w574JgqQxFhr2zIAg2J5NZqU+qjBLXYUYEqWb4QLcXtc7L3tlwaConqtURBHtYKG/Lu7pdFr/WmWkUGlbYOxOCIDgNuwapS5cuZenSpdy8eROAOnXq8PHHH9OhQwcAHj16xHvvvccPP/xAWloa4eHhLFmyhKCgIGMat27dYvjw4ezevRtvb2/69+/P7NmzUSqfnNqePXuIiIjgwoULhISEMHHiRAYMGGB2flUyLSqZtkjnLFjXPNmLALwv7bBzTiznCucgFN770g6Lf8w5exlJl1LtnQVBsDm5FedJdeQIRKPR4OVl3Yo8uwapFStW5JNPPqF69epIksQ333zDK6+8wqlTp6hTpw5jxoxh06ZNrFu3Dj8/P0aOHEn37t05ePAgAFqtlk6dOhEcHMyhQ4eIioqiX79+uLm5MWvWLAAiIyPp1KkTw4YNY82aNezcuZMhQ4ZQrlw5wsPDzcqvEh1KRJ8qRzJB2ga4RpOAKFtCYcyWmd63DJ8BZ6ArcY2VggByK05B5chBalBQEK+99hqDBg3i+eeft0qaMkmSHOquERAQwLx58+jZsydly5Zl7dq19OzZE4BLly5Rq1YtDh8+TLNmzdiyZQv/+c9/uHv3rrF2ddmyZYwbN47Y2FhUKhXjxo1j06ZNnD9/3niM3r17Ex8fz9atWwuVp8TERPz8/BgT/zNqX9Hc7yhmy8Kd6gs6L4agwxXORbCP7IGrOWxZ7tI1j/jcpysAycnJVq91EYTsDN/fCQkJ+Pr62uXYbr9cR+blU+T0JE0SGV2r2uVcCuOXX35h9erVbN68mSpVqjBo0CD69etH+fLlLU7TYSqgtFot69atQ6PREBYWxokTJ8jIyKB9+/bGfWrWrEmlSpWMQerhw4epW7euSfN/eHg4w4cP58KFCzRs2JDDhw+bpGHYZ/To0XnmJS0tjbS0NOPjxMREAKbI2uMrM79gfCQVLhgWzOdK8y660rkIxWem7GWTxx9JW4t0j8lewZM9/dxYejxRxoWSSKGQrDRPqoQjDz3s2rUrXbt2JTY2lu+++47Vq1czadIkwsPDGTRoEF26dDHpilkYdg9Sz507R1hYGI8ePcLb25uNGzdSu3ZtTp8+jUqlwt/f32T/oKAgoqOjAYiOjjYJUA3PG57Lb5/ExERSU1Px8PDIkafZs2czderUHNtnSNtRS55mn6MjT1vozCZJm13i2k6SNgP6cjJd1tH4WBByk718FPQZmC7rWOi08tqWNY2ifO7kokuLUAJZs0+qMyhbtiwRERFERESwaNEi3n//fTZv3kyZMmUYNmwY48ePx9OzcLGU3YPUp59+mtOnT5OQkMD69evp378/e/fabhqj3EyYMIGIiAjj48TEREJCQuyYIyE3rhLQGQKASdJmlzgfofjlF3jmx9LyJcqlIAiFFRMTwzfffMPq1av5559/6NmzJ4MHD+bff/9lzpw5HDlyhO3btxcqLbsHqSqVimrVqgHQqFEjjh07xsKFC+nVqxfp6enEx8eb1KbGxMQQHBwMQHBwMEePmi4BGBMTY3zO8L9hW9Z9fH19c61FBVCr1ajV6hzb5UiiucrBuNL74UrnIphnqqxTofedLG1isrTJouPYu+VBlHGhJLLmwClHtmHDBlatWsW2bduoXbs2b7/9Nv/9739NYrjmzZtTq1atQqdp9yA1O51OR1paGo0aNcLNzY2dO3fSo0cPAC5fvsytW7cICwsDICwsjJkzZ3Lv3j0CAwMB2LFjB76+vtSuXdu4z+bNprUAO3bsMKYhCIJgb5YGnUWVV3Bsr/wIgisqKc39AwcO5PXXX+fgwYM899xzue5Tvnx5Pvroo0KnadcgdcKECXTo0IFKlSqRlJTE2rVr2bNnD9u2bcPPz4/BgwcTERFBQEAAvr6+jBo1irCwMJo1069f/dJLL1G7dm369u3L3LlziY6OZuLEiYwYMcJYEzps2DAWL17MBx98wKBBg9i1axc//fQTmzaZfxOWiZpUh+NK74crnYvgHKZKfzBZ9p+c2wtZsztV+sOs44kyLgiuKTMzk9mzZ9OjR48c44Cy8vDwYPLkyYVO165B6r179+jXrx9RUVH4+flRr149tm3bxosv6ic3nz9/PnK5nB49ephM5m+gUCj4448/GD58OGFhYXh5edG/f3+mTZtm3Cc0NJRNmzYxZswYFi5cSMWKFfn666/NniMVYILsZZPR/ebeoAVBEKwht8DSHszNh0amYVYx5UUQHJXMSjWpOHBNqlKpZOzYsXTqVPiuS4VK16qpmWnFivwXyHN3d+eLL77giy++yHOfypUr52jOz65169acOnXKojxmNUfagnuW0f0O3j2kRHClmhlXOheh+EySdc73+enS7zbLg7nHSpceFUd2BEFwAE2aNOHUqVNUrlzZamk6XJ9UQSgsW3wZ20L287A0ABBKBkcoF46QB0FwFiVl4NTbb7/Ne++9x7///kujRo1yLNZRr149s9MUQargtCbJOrvEl2X2oNQVzkkQBEHQk8kk5FZoqtfJHLu1rXfv3gC88847xm0ymQxJkpDJZGi15i/qKoJUM4gpqBzLTOk3l+hyMVP6DdB3H/lI1sX4WBBcjbh/CoLrioyMtHqaIkgVnJYI6ATBfB/JuuT7vPhMCYJ1KWQScivUgsocvCbVmn1RDUSQKjgtV/kyNQQNM6XfXOacBMcgAlJBsD+5XP+v6AlZIY1i9t1337Fs2TIiIyM5fPgwlStXZsGCBYSGhvLKK6+YnZ4IUs0gmvuF4jBb+hXQ338myF4xPhZKpgky0xt5UcpDQa+19XeeuH8KgutaunQpH3/8MaNHj2bmzJnGPqj+/v4sWLBABKlCyeKKAZ2rnY9gPlEGBMG1yOXWGTjlyPOkAixatIjly5fTtWtXPvnkE+P2xo0bM3bsWIvSFEGqGURNqmOZI/3iDK0fZhkn68oc6Rd7Z0Owo3GyriaPXak8iPunUBKVlCA1MjKShg0b5tiuVqvRaDQWpSmCVMFpuWJA52rnI5hvjvSLSaCaPWjNvq8jccXPpCAIhRMaGsrp06dzDKDaunUrtWrVsihNEaSaQdSkOpZ50kaXq0l9X9aNedJGe2dDsLPClgFHK/8FfSbF/VMoiUpKTWpERAQjRozg0aNHSJLE0aNH+d///sfs2bP5+uuvLUpTBKmCYGfvy7oB+i94EaAKRWEoS45KI9Mw0d6ZEAQbKymj+4cMGYKHhwcTJ04kJSWFN954g/Lly7Nw4ULjRP/mEkGqGd6VdcZX5gsUvqZDKD6i1lEQTFn6ecgvuLXmZyxdemS1tARBcDx9+vShT58+pKSkkJycTGBgYJHSE0GqGRZJv+IueQIO/4OmxJCjs3cWrMaVzkVwLp9JP5s8fk/Ww/j3+7JuOZ63lEyUcaEEkskkq0zE7+iT+Wfl6emJp6dnkdMRQaoZRsleMdakWuumLQiiLLm2rAFfXuxdBgqTR0EQLFNS+qSGhoYik8nyfP7GjRtmpymCVDN8ofsFd52oSXUYMpBLjv2hLYwx8p4AzNett3NOhOIwXyr4fc3rfmKrsmHIo+F42VkriNXINHxklZQEQXA0o0ePNnmckZHBqVOn2Lp1K++//75FaYog1Qwj5F3xlfsWal8RcBQ/V7nGWc9jjLyny5yXUHS2LgvFfbw0neiTKpQ8MivVpEoOXpP67rvv5rr9iy++4Pjx4xalKYJUMyzVbTTWpBZE1LQWv3flr7JQt87e2Siyd+WvArBQt46FunWi7Ag2Yyh7hVXUz5uYgkooiRSAIu9WcJfXoUMHJkyYwKpVq8x+rQhSzSAT86Q6lEW6n1wioFuk+wkQP2wE2zOUvcIqahkV909BKHnWr19PQECARa8VQaoZhsm74yv3NfvGLgj5GSV/DTA/YBAEeFJ+nIFGruF9+ts7G4JgU9YaOOXozf0NGzY0GTglSRLR0dHExsayZMkSi9IUQaoZvtL+jIfWU9R42cgIRS+Tx19of8zz+ezPORND3uXoz8mZz0WwjeyfjbwUR1kqShlN04o+qULJI5dJyK0wfZTk4FNQde3a1eSxXC6nbNmytG7dmpo1a1qUpghSzSCWRbWtpdofTB7n9uPAsI8z/3AYrtCvxLFU+wNLtT849bkItpH9s5GXEQrzVnkpTLpFKaPi/ikIrmvy5MlWT1MEqYJgQ1kDUoPCBhxCyTW8gGAzrzJk2F7Q6wVBKD4lpbk/MTGx0Pv6+hZupiQRpJpBLumQS2LFFEfibO/Hl5lrAdOa37eUb5g8J5RshvJgjryCUEOZKmzZKu5afGf7vAqCNchlWKm53wqZKUb+/v75TuYP+n6qMpkMrVZbqDRFkGoG0dzveFzp/XClcxEKb6iyj8nj5ZlrrJa2uUFn9rzkpij5E2VcEFzXqlWrGD9+PAMGDCAsLAyAw4cP88033zB79myqVKlidpoiSDXDAGUvfJX6KmprfpEIJZsoSyWbJe9/YYLJ4lKUY2uUGkYxxIq5EQTHJ5Pr/1kjHUf27bff8vnnn/P6668bt3Xp0oW6devy1VdfsWfPHrPTFEGqGb7N+BGPDA/AuQfquBJXWBZVEMy1IuP7Qu032O2/djt2btIyxOh+oeQpKaP7Dx8+zLJly3Jsb9y4MUOGWPbjVASpZujn1gtfN19WZXxn76wIwKqM78SPBaFEG+jW1+bHLErgq3HTMIKhVsyNIAiOIiQkhOXLlzN37lyT7V9//TUhISEWpSmCVAsYvhi+Sf/WzjkRBMGV9Vf1M3mc/Z7jbPegtPQ0e2dBEGxOLpdQlIDR/fPnz6dHjx5s2bKFpk2bAnD06FGuXr3Kzz//bFGaIkg1w9r0/+GR7mHvbAiP9Vf1c7ovaUEwhz3Kd0GBsSAI5rFWc7810ihOHTt25OrVqyxdupS///4bgM6dOzNs2DCLa1JlkiQ69RUkMTERPz8/EhIScp3b67v01bbPlCAIgpn6qgbY9fgajQZvb28AkpOT8fLysmt+BNdX0Pe3LY793JVjKH28i5xeZlIyx2o8Z5dzsRdRk2oF9r7xW8OatFX2zoJZ+qgHOl2e89JHPRBwvvdAcD72LmOP0kRzv1DylJSa1OIgglQzrHv0HZ4q12zud7YBSP97tNLp8pyX/z1aCTjfeyAI5hKzcQglkbVWnLJGGs5GBKlmeNW9L77ullWxGwIRQcjP6+6DRFkRrOZ190EF7mNueRNlVBAEWxF9UgvB0K9kZfQiPH1dsyZVEAT76+UxGIAfU1cUa/r2IvqkCrbmCH1SW9z4y2p9Ug8+1VT0SRVyJ0eHHLH2tCN71UM/B+O61OV2zknBnCmvgm0YyoI5XT9e9Rha6DJkjbJmKLeCIBROSeuTGhsby+XLlwF4+umnKVu2rMVpiSDVDEqdDqVOBKn5iYtO4PKR6yTeTyY5PoWb5/5F0ulQe6pQqtyQyfT7efl7UirIl0cp6TxKfkRK4iNSkx6hzdTSslcTGneoV+Cxunm9xUbNlybbDI+doWAb8vqq11smjy2VmaHl9t93ibp+j5ib9/H08SCkVjlCapbDq5QnJ7ae59bFu7iplTy485DASqVx93Hn+sl/kCQJuVyGTC5HJpc9/ltmuk2m36ZwU+Dl54lOpyM9NYPM9Ez98wr5438yFAo5crn+sVKlQOWp4t+/o0i4n4Q2Q4s2U0dmhhZthpaMtAw0iamo3VV4+Ljj6eeBp487nr4eePi6U6F6MI071EVmKDyPaTO1JD9MAcC3jDcymQytVoekk1Ao5Tn2z+ua3Th9i3/O/4skYTxnuUJ/zvrz1p+T/jk5Xn4e+JTx5sGdh2Sma1F7qShTvhQB5f1x91Yjl1uvd3G3x2WjICJwFATB3jQaDaNGjeK7775Dq9UCoFAo6NevH4sWLcLT09PsNO36XT579mw2bNjApUuX8PDwoHnz5syZM4enn37auE/r1q3Zu3evyeveeustk6W3bt26xfDhw9m9ezfe3t7079+f2bNno1Q+Ob09e/YQERHBhQsXCAkJYeLEiQwYMMCifOcWHAmwfeV+vhrzP3TaogXyB9Yfp+qzlQmqXBqVh4puY14ipFb5HPvl9x5EnvuXf/+Oosl/6qP2VBXquJIkcXzLOX5dsJ2nGlbi1Q864lP6SRPN7b/v8ue3h/jrt1Oo3N0oFeyHykOFQinn9qUoMtIyKVOxFG4qJQ1fqkO7/zbH3cedjEcZ+XYTsUZZOvjzcb6ZuIH7t+Nyfd7dW82jZOcdWd2qd1PqtanJia3nuHbyH5IfakhJfLLEpsrdDZ1WH/gCyOUyVJ4qAsr541vGm/TUDNJT05HJ9UGzUqVELpfxz/k7PNJY97q4qZWovdT4BHgRUrMcZUMC8Cvrwyvvvoib2s2stGx1n8kaDBfnMa19rQXBGciQkFmhFlSGY9ekRkREsHfvXn777TdatGgBwIEDB3jnnXd47733WLp0qdlp2rVP6ssvv0zv3r157rnnyMzM5MMPP+T8+fNcvHjR2FepdevW1KhRg2nTphlf5+npaeyPodVqadCgAcHBwcybN4+oqCj69evH0KFDmTVrFgCRkZE888wzDBs2jCFDhrBz505Gjx7Npk2bCA8PLzCf9uzTktWvyTnXxC1uaanpXPrrBuf2XubGmVs80qSTlppOatIj0lIz8PJ1x7uU/r26eOgaAFWeqUBwaFnUnioq16mAysON9NQMMtIz9YlKEgmxSSTcT8bdS42nrzuePu54eLtz/85DNn+11yTQbdCuFlN+eYfU5Eec3vk3z75YJ9/AM+bmfUY3n0lq0iN8S3vTaVhrOgxpxV9/nOb3JbsYvrAPtcKq5njdb1/sZOX49cbHbmolVZ6pQHxsEumpGSTEJll8Hft83IVX3+9g8esNJEniyG+n2fPDX5QK8qV9/xYc2niSDfO3A+Dp50FIjWCCQsuQHJ/C7UtRxN7SB66evu40frkuOq2OUsF+/HPhDumpGdQKq4a7lwqdTkL3uCZS0knodBKSTqf/X3qyLTM9E01CKnKFDJW7Cje1Ekknoc3UotNK6HQ6dFrDP4mMtAxSkh5RvmoggZVLo1AqUCjlKNwUKN0UuKmUePi6k/EoE01iKqmJj0hJSiUlMZWkOA2HfjmV7w8fmUxGUW5j3qU8qdG4CkqVG5JOf/466cm10D2+HtLj65MQm0RiXDJlQwJQuatITUrl/t14UhJS8z3Of95uw5A5r1mcT4BXvIeZPLbHPSGr7PkpiOiTKtiaI/RJbX3zEEpfK/RJTUxmT5Xmdo9F8lKmTBnWr19P69atTbbv3r2b1157jdjYWLPTdKiBU7GxsQQGBrJ3715atmwJ6IPUBg0asGDBglxfs2XLFv7zn/9w9+5dgoKCAFi2bBnjxo0jNjYWlUrFuHHj2LRpE+fPnze+rnfv3sTHx7N169YC82UoaD/8+2mJGDil1eo48PMJtn97iEt/3SAjLbPQr31lZFsGzexeqKbWvETfvM+1U7eI+ecB33z8CzKZjM/3fsDid9Zy/fRtGr9Uh0nrhtPFdwS/Jy0xvi4jLYM9Px1j8/J9XD99G4VSjjZTH9y4qZXG83j6uVA+2R6BNkOLyt2NjPRMFEo5I56bwZ2rMbTp3YSbF+8SefZfk3zJFXKee/kZ2v23GWp3FQn3k0h/lEFGWiblniqLu7eauKgE4u8lsunLvdy5ds/42grVg1h64uNCnb8kSXlev81f72NZxI+5PtfzvZfo9X6HHAF8avIjoiPvE1ipNF5+zld+T+++xM/ztyNJEk/VC6FJx7qUCvTFJ8ALLz8PdFodD6ISULopULm7IZPJSE/LIE2TTuydh2jiU1C5u6HyUCFJ+iA7M0NLZnom5asFUbl2Oas00aelpPMoJY301AxSNWk8jEnkxtnb3Psnjk1f6VuDpv06igZtauaZRmeft4ucj9xk/ZzY0yNNGq+ViwBEkCrYhghSbcfT05MTJ05Qq1Ytk+0XLlygSZMmaDQas9N0qK57CQkJAAQEBJhsX7NmDd9//z3BwcF07tyZSZMmGfs2HD58mLp16xoDVIDw8HCGDx/OhQsXaNiwIYcPH6Z9+/YmaYaHhzN69Ohc85GWlkZalkmnExMTrXF6Vpf+KIPIc/+SeD+ZtEcZaBJSuX0pipsX7vAwOhGlSkGDNjWpUqcCABnpmdz7Jw6lWknp8n4EBPvh7qVG5e6GUqXk9qUo/li2h5sX7vBIk248TkA5P+q3eppaYVXxKeWJyl2Fh7catafKWNslSRAcWoZqDSsVKUAFCK5ShuAqZQA4sf0C5w9cZUzLOcbnj2+/QPIfpfi985MvXkmSmNN/BUc3nwP0tYbz943n2qlbbPy/P7l26hagbwa+fCySwbUnos3UMXn920zoMJ8ajSpz52oMCqWcN+e9hqevO3euxnDz/B1KVyiFu5ea0uX88C1duBvNf95qTfqjDB7cjeetBlO4czWG5zTdOea1Id/XXTh0jVlvfMUrI9ry2vsv53j+z+8OA9CmdxOS4jT8ffQGHl5qXv+wEy/2bZ5rmh7e7oTWrViofDuiBm1q5hvYKZQKY3nJrny1wOLKVg5qT5XJD4RKNctRv5W+61JGeibbVx/kz+8O53sujhJMFqSgYNpZzkMQbKGkDJwKCwtj8uTJfPvtt7i7uwOQmprK1KlTCQsLsyhNhwlSdTodo0ePpkWLFjzzzDPG7W+88QaVK1emfPnynD17lnHjxnH58mU2bNB/2UdHR5sEqIDxcXR0dL77JCYmkpqaioeHae3S7NmzmTp1ao48dvAZiq9P3r9eNiV+YcYZFyzhfhKn91wm8UEyKYmPiIqM5e6N+0TdiCUhNgmdruACG3nujkXH9inlSZe32/BCt2epUC3QvMDTipXzL/63GecPXAUgqHJpGratydZVB/lg8hi+/M+Tmslfl+7m6OZzKFVKOg15gfZ9mlEhtAwVQsvQsltDrpz4h9TkNA79dprNK/YTF6X/QfTl2B9JS0nn3H79MZ5pUR0fX/2Hq1L1ICpVNy035pybu1pJhdAyhNatQOS5OyzY+hEvdH82131vXYrCw9udE1vPkxSn4fvpv+PhqeKVt9sY97l3O45rp24hk8kYNL0rpQKzlUXHaRQRsqn/QnW2rz5IfEyiw01o38l3RI5tBd3LCno+r3ppRzt3QbAFuVxCYYWJ+HUWpPHFF18wb948oqOjqV+/PosWLaJJkyZ57h8fH89HH33Ehg0biIuLo3LlyixYsICOHTsWeKwFCxbw8ssvU7FiRerXrw/AmTNncHd3Z9u2bWbnHRwoSB0xYgTnz5/nwIEDJtvffPNN499169alXLlytGvXjuvXr1O1as5+hdYwYcIEIiIijI8TExMJCQlhR8KXeEp5N5da0mAoSRLnDlzj/KFrpKWmk5aSQUpSKrcuR3P11O0C+9r5lfEmqJK+b5y7l4qK1QKpUrs8gZUCSIzTcGTzOZLi9FXscqWcshVKkZmh5UFUPA9jkkhLTSf9kX6EttpDRbvXm9Cy+7OUCy2L0k2RNaMWnF3RtXylAbvW/oV/WW/e/qwX8fcS2brqIAn3k41feA/vJfLttN8BGDqzG52HtsyR51qNKgMQUrUs5w9e5dYl/Q+Yy8dumhyv6cvPWP2LtF6L6kSeu8P5g1dp1a1hjueT4lN4t+UcSpfzp1nHusbt307/nc5DXjC+D3/9cQaA2s1CKV3WRwSlTqRUGX0NfHys+UFqB7+RbElYXBzZAsg17eJa/UwEqYJgOz/++CMREREsW7aMpk2bsmDBAsLDw7l8+TKBgTlbmdLT03nxxRcJDAxk/fr1VKhQgX/++Qd/f/9CHa9u3bpcvXqVNWvWcOnSJQBef/11+vTpk6MysLAcIkgdOXIkf/zxB/v27aNixfybJZs2bQrAtWvXqFq1KsHBwRw9etRkn5iYGACCg4ON/xu2Zd3H19c31wunVqtRq9U5tr/o95ZV+4GkpaXx8ssvs2fPnjz3qV+/PjVq1MDT05OqVatSrVo1qlevTvny5XFzc6NMmTL513IOKFoei/PLsTDUHipm/zbK+Dg5Xj/lUGZGpvHL+8fPtpOWkk6NRpX5z5AX8k2vbMVSLDvyETv/9xefDf/e5DmFUk6zDs/k8UrL1W1RjV+X7eHc4xrh7B7cjScjLZPom/cJeBQK7Ab0fRxvnL9DjYaVADj8x1kAwjrVt3oeheLlV8YHgPjYZLNfa43PYAe/kcV+DEEQcmev5v7PP/+coUOHMnDgQEA/XmfTpk2sXLmS8ePH59h/5cqVxMXFcejQIdzc9DORVKlSpdDH27dvH82bN2foUNMp8TIzM9m3b59xrJE57BqkSpLEqFGj2LhxI3v27CE0NLTA15w+fRqAcuXKAfo+EDNnzuTevXvGXwY7duzA19eX2rVrG/fZvHmzSTo7duwwu49EQTWp5tqy+iB79uxB7eFG88718Svjg9rDDU8fdwKC/WjQ6mlKl/PL9qoHxPIA4xg5x+wuW2zcHtcqZqZr2ZKwmIT7SWxedRCAAR93LnS3hNrNnjL+rVQpmb8jgoz0zDz7NhbFMy2qIVfIuXUpmr+PRlKrSSiSJPHbl3s5d/AaHQe2MO579vYRk9dePHKDGg0rkfAgmfOPZ09o/p+C55AVHEupQH2QmhSnQZupRaFUFPCK/BmCzsIGl8UZhBZ3Ta8gODtrB6nZx8nkVrGWnp7OiRMnmDBhwpPXy+W0b9+ew4cP55r+b7/9RlhYGCNGjODXX3+lbNmyvPHGG4wbNw6FouB7Vps2bYiKispRS5uQkECbNm2Mc6eaw65B6ogRI1i7di2//vorPj4+xj6kfn5+eHh4cP36ddauXUvHjh0pXbo0Z8+eZcyYMbRs2ZJ69fRf1C+99BK1a9emb9++zJ07l+joaCZOnMiIESOMb9qwYcNYvHgxH3zwAYMGDWLXrl389NNPbNq0yaz8yiTJKs1VmoRUov65z0+f66cNGvhxZ7oOa537zqJ5zITKEKRmaAn3eZuFR94jMz2TwIqleLZljUJfr/KVS1Mq0IeH95KoXr8i1es9rsEvhuvtX8qT9q83Yfv3R1jzyWam/zSMhaN/YPv3+oA0oKyPcd8Hd+MBKBdahqjI+1w6egP5sFYc23IOnU6iat0KlK9cWpQLJ+NXyhO5XIZOJ5F0P5mAoKK1yGyLXwQUX7N8XsL9R+W6vaCaWgONUgOMtWKOBKHkCQkJMXk8efJkpkyZYrLt/v37aLXaXMfjGJris7tx4wa7du2iT58+bN68mWvXrvH222+TkZHB5MmTC8xXXjPTPHjwwOKZPOwapBomds0+p9aqVasYMGAAKpWKP//8kwULFqDRaAgJCaFHjx5MnDjRuK9CoeCPP/5g+PDhhIWF4eXlRf/+/U3mVQ0NDWXTpk2MGTOGhQsXUrFiRb7++utCzZFqTbevxLBw9A+cP3zduM2/rA8v98t9VLaQk5vqSZHdFLuA1MeTg3v7m7eShUwmo06zpzjw2xnqNCuevs1ZvTE2nJ0/HOXkrkuM77KIc4eelIHYOw+Nfz94PKCrUdua/LHiABf/igTg4OOmflGL6pwUCjm+pb2Jj00i/l5SkYNUezMEyeYSk/kLJZEcCbkVJuI3pHH79m2Troe5dU+0hE6nIzAwkK+++gqFQkGjRo24c+cO8+bNyzdI7d69O6D/Xh0wYIBJfrRaLWfPnqV5c8viHLs39+cnJCQkx2pTualcuXKO5vzsWrduzalTp8zKX3ZySUIu5T6p+Iul3jX+vePhQpPnbl2O5uupv3Ni92XjXJ2lAn1Qe6jo/2EHPD2UkEe6gimV25Nfabq0DNKS9asOeXip8nxv8jLgw474l/bi1ZGtzX6tucpXKkXPkW34ccFOkwAVngSmAImPB7k927I6m1cf4v7deP69dJeTu/W/fJ/vVLfY8yoUD/8y+iA1ITYRuVTOKmlmve9YQ/Z7V17PW1qDKxNlVyiBrN3c7+vrW+D4mDJlyqBQKHIdj2MYr5NduXLlcHNzM2nar1WrFtHR0aSnp6NS5b6Ijp+fvluiJEn4+PiYjPVRqVQ0a9YsRz/VwnKIgVPOQl7I5v6s+0iSxIyBq7n5eDT5s61q8N7CXgSFZJkLVjTdFpoqy4wD2rQM41KfHl5qs7tiVKkeyOhPX9U/sMF7MGRiJypXC+SnxbvpMvh5rp37l83fHuF+VHyOfQPKelO9XkUun7rFt7O36BcMqFKap2oGIxPlxSmVKuvNzb8h4Z7jTUNlYO2gNzuNSgOMK9ZjCIKgDw4bNWrEzp076dq1K6CvKd25cycjR+bePadFixasXbsWnU5nXODkypUrlCtXLs8AFfSt36AfZDV27FirLtJhUZB68uRJ3NzcqFtXP13Or7/+yqpVq6hduzZTpkzJ92ScWeuAt80e3X/+r0huXorG3VPFZ7+NoEaDkCJPdl+SKRRyY9++jHQtqcYg1fHLnEwm46XXm/DS6/o56r6c/BuQ+4hvT293GrWuweVTt9j3m37qqcZtaoqy48T8H/c9jr9v/gj/vOyMW2C1tGwhVTT3CyWQTCYhs0JNqrlpRERE0L9/fxo3bkyTJk2MXScNo/379etHhQoVmD17NgDDhw9n8eLFvPvuu4waNYqrV68ya9Ys3nnnnUIdrzD9Vs1lUZD61ltvMX78eOrWrcuNGzfo3bs33bp1Y926daSkpOS5hKmz2xf3BV4Z7gXul7UpbNPqQwC06daAWg0ed3Z20FoUZ+GmVpKWmkFTr/7s1Oh/EXp6m1+Tam/e3nn3I/LyUvFcm6dZO/9P47bGras73TkKTwQY5kq1Q01qm9JjCrXf7gfzizcfASOBnFPfCIIrk8v0/6yRjjl69epFbGwsH3/8MdHR0TRo0ICtW7caB1PdunXLZEnokJAQtm3bxpgxY6hXrx4VKlTg3XffZdw4+7V+WBSkXrlyhQYNGgCwbt06WrZsydq1azl48CC9e/d22SC1ZcCIXGtS98Z+luv+0bfj2Pu4FuyVfs2Q60R/LGtQuilIS80gPT3d2Nzv6alyuuvr7ZNPkOqpom6jSnh4qUnVpCFXyHm2eVWnO0fhiYAy+iaw+Ngkq76Prcq+Z7W0ChvMWsqStbsFQbDcyJEj82zez22O9rCwMI4cOZJzZzuxKEiVJAnd45vsn3/+yX/+8x9AH4Xfv3/ferlzEnl9SfQc3pOMtExat27Nmy8ucMqm2rwCcHtyU+n7paalpRmbDz28rDO60ZY8ffKulff0VqN0U/DsC9U4uPUCTZs0xcfPenP0CrZX6nFz/0MLJvTPKvv9prg/o/kFweYeWzT3CyWRQiahsEJzv84KaTgbi4LUxo0bM2PGDNq3b8/evXuNU0lFRkbmmJOrpNh/71OTx79+e5iff96AXC6j/+RnOeCAwV5h2HoexsIwTEOVnp5OalKWmlQHbwp/IXCsSTnJq7lf6abAXaUASaJL36Yc3n6R1r1DHP78hPwFlH5ck5plSd/CeCEw/3lFi7tcZL+3mRy7gNdmz7vGUwN8VPRMCYITsdeKU7Z248YNnnrqqYJ3NINFQeqCBQvo06cPv/zyCx999BHVqlUDYP369RbPheUMDsX+H16PCu6T+svqQ3w+biMAvYa3pGpt60w3I+gZVp1KT0/PUpPq+AOnsn/Ze+dRk+qZJXgNa1+LPVFzizVfgm0YalLjYpPMel1+QWJhFRToCoIgFFW1atVo1aoVgwcPpmfPnri7FxwvFcSiILVevXqcO3cux/Z58+YVauksZ9W87DuFGt0/5qfGgH5k3aeffsohK3zJCE8YalJPRH9jnBzcy4IpqOwtr5pUTyc8F6FgpR/3SX0YmwxarcmABXO1CHrfWtkSBKGYycFKk/k7tpMnT7Jq1SoiIiIYOXIkvXr1YvDgwTRp0sTiNC2eJzU+Pp7169dz/fp13n//fQICArh48SJBQUFUqFDB4gw5sqPR8/HS5P/LIDNTy7kL+sFSTbvLORI91+ELlrNxc9Nf0Rpe3UnV6JeW9fJ0c7pBRT7eudf+eno73yAwoWCBZb2RyWRkZmhJjE0yWQ7XXIej5lgxZ7aTmpJu7ywIgs3JrNTcb41prIpTgwYNWLhwIZ999hm//fYbq1ev5vnnn6dGjRoMGjSIvn37UrZsWbPStCh+Onv2LNWrV2fOnDl8+umnxMfHA7BhwwYmTJhgSZIu49/IB6Q/ysTDU0WFKgEFv0Awm0mfVI3+S88Zmvuz88qjud/Lu+hNJILjUbopKB2on4Yq5m5CAXvnL6zcOMLKiUnxBUFwPEqlku7du7Nu3TrmzJnDtWvXGDt2LCEhIfTr14+oqKjCp2VJBiIiIhg4cCBz587Fx+dJbUDHjh154403LEnSZVy9oL/4T9UKLlJznpC3rH1SU5xoMv/svPJq7s9n/lTBuQVV8Od+TBL37sZTq35Fi9PJWpPqTMGqfgqqj+2dDUGwqZIycMrg+PHjrFy5kh9++AEvLy/Gjh3L4MGD+ffff5k6dSqvvPIKR48eLVRaFgWpx44d48svv8yxvUKFCkRHR1uSpFNoEjymwD6pv93S1yTXqBUs+hUWE0OQejFmnbH50NsJ+3F6uCtRKOVoM02b9r28HH+mAsEyQeX8uMBt7v0bb7X3+K+7n1glHVsQzf1CSSRHslKfVMf+Xvj8889ZtWoVly9fpmPHjnz77bd07NjRWGEXGhrK6tWrqVKlSqHTtChIVavVJCYm5th+5coVs/sbOJMTdz/DOyn/pth9f20AoLoIUouN6nFzf0ZaJimGgVMebk55vb281STGp+bY5oznIhQsqLwfAPfuWi9Izc9zFUy7Xx27M7vYj5nf8fU1qdZfOlEQBPtbunQpgwYNYsCAAZQrl/usRoGBgaxYsaLQaVoUpHbp0oVp06bx008/Afo1yW/dusW4cePo0aOHJUk6PcPN+J8rXwBQXUw7VWwMk/lnpGUa+6R6OmFzP4C3r3uOINVZz0UomCFILWqf1OyyB4NF3U8QBOuRySSrDHpy9IFTO3bsoFKlSjm6OkqSxO3bt6lUqRIqlYr+/fsXOk2LgtTPPvuMnj17EhgYSGpqKq1atSI6OpqwsDBmzpxpSZIuISYmhjt37iCTyahWK9je2XFZysfN/clJj9Dp9B9aZ1xxCp4MkpLLZcZzEX1SXVdQOcuCVBFcCoLzKinN/VWrViUqKorAwECT7XFxcYSGhqLVas1O06Ig1c/Pjx07dnDw4EHOnDlDcnIyzz77LO3bt7ckOafRqPx7efZJPXF7Jnu3/w1AaPWy+Hi6gZhGqFioHk9BlfQwxbjNy13hlNM2eT+ehqpUaS/i7muQJAkvTzEFlasqV05//7h3N168x4IguBQpjy5MycnJFk/sb/E8qQAtWrSgRYsWRUnCZTQK+YgNN/TL/bV+/j80Cnmy9N+J2yW3drk4GKagSngcpHp4qpx2JgXDqlNe3moePcpAk5SW56h/wfkZalJjY5LIzNSiVLru4ieCbcXGxnL79m3c3d3x8PBApVKhVCpRKBQm/7u5uaFUFumrv0CZmZlIkoRSqUQmkxXrsZyBq4/uj4iIAPRdPz/++GM8PT2Nz2m1Wv766y8aNGhgUdoWldR33nmHatWq8c4775hsX7x4MdeuXWPBggUWZcbRnbk9N8+lLAF27PkBgPI1HnDq1gzjducMnxyX6nFzf2K8Pkj1dOLR8IZVpzy91KQZglQnPh8hf2XLeqF0U5CZoSUuJongx31UC5L1fpKbhpUmWiN7Lkun03H//n1SUlKoXLmySwVOV69eZdCgQRw4cKBQ+8tkMkJCQggICMDDwwNPT09Kly7Ns88+S8uWLalYsSKJiYk8ePCAS5cuERUVxfPPP0/Dhg1JSkri4sWLJCQkULVqVfz8/Lhz5w7nz59n5cqVXLt2jdTUVGOzbqlSpXj22WeN/xo2bEj16tWdtlLBUgokFFZoqrdGGsXh1KlTgL4m9dy5c6hUT8ZVqFQq6tevz9ixli3NbFGQ+vPPP/Pbb7/l2N68eXM++eQTlw1S64d8kGdzv1ar5e+z+rkLX+s4nbqV6pqV9pmb04ucv5JCpdTf4LSpgcBFPD1VyHWO+eEtiLePPkj18lKRnqb/29uJz0fInxwZgUE+3P03nph/H1I+uOBllgvDWe4fxT0FVVJSEitWrOD69evI5XLUajV//PEH165dIyMjA4CGDRsyf/58WrVqVax5yUtKSgq3b9/m33//5fTp05w5c4Zx48ZRp04ds9M6evQoHTp0IC4uDoBy5crp549OSSEzM9N4zllJksStW7e4deuWyXbDQGhrevjwITt37mTnzp3GbeXLl+f48eN5jv4WnM/u3bsBGDhwIAsXLizU8vGFZVGQ+uDBA/z8ctYA+Pr6cv/+/SJnytmci5zK1csxJCcn4+mlQuuxnnORG8xKo2T9riwaw7Kod6P1fYA9Pd2QS87Zv8/n8Uh+Ly8V1aqXJSYqgdq1g5z2fISCVQjx5+6/8fwbeZ9GjULsnZ0c6oYW3xRR+imo8q8VNpckSZw8eZKNGzeyYsWKPOfqlslkyOVyTp06xejRo421P7b066+/0qdPn8fX4YmYmBi2bdtmVlpRUVG88sorxMXF0aRJE9atW0elSpVy7KfT6dBqtWRmZpKZmYlGoyEyMpLExERSU1NJTk4mOjqa3bt3c+bMGaKjo/H39ycgIIBKlSoRFBTE/v37uX37Nkqlklq1auHn58fFixdJT0+nQoUKVKxYkc6dO9OxY0e8vLxwd3dHJpNx8+ZNTpw4wcmTJzl58iSnTp3i7t27bNq0iSFDhhTpWjoTV2/uN1i1apXV07QoSK1WrRpbt25l5MiRJtu3bNnCU089ZZWMOaK/b8w21nxlJQeuXNDfGGvXLoebTAaiJszq6lSdwoXrU1A/bu439Em1Rk2qIW1b83nc3O/tpWLSlI6Mm/ASKrXSWH7qVDXNkz3yKFjX008HcezwTa7+HZNruc3+ngu5u379OhMnTmT//v3cuXPHuL1q1ar06tWLjIwM7t+/z4svvkiLFi0oV64ckZGRPP3005w7d47U1FQ8PDxslt/Y2FgGDx6MRqPBx8eHihUrIpPJuHjxIjt27ODWrVu5Bpl56devH9HR0dSpU4edO3fi7e2d635yuRy5XI6bmxsAPj4+BAfnnH2moOZYjUaDQqEwawBMqVKlaNiwofHxRx99xKxZszh06BDh4eF4eXkREOD6y4e78uj+7t27s3r1anx9fenevXu++27YYF7lHRRhWdSRI0cSGxtL27ZtAdi5cyefffaZyzb1A9R6akKe1dhb+QzYSI3qLahTdQp/XxMTVlvb39cmI+dJn9SEBP38otbow2lI29batXua3X9epssrdZFLEu4qBWQ5l+zlSNS4O7+na+inZ7l8KTrXcluYe0etalOtni9nkpqaSufOnfn7b0Nriicvv/wy3bt3p2fPnqjVuQ8+rF69OmXLliU2NpazZ8/StGlTm+Q3MzOToUOH8uDBA+rWrcvx48eN/fbatGnDnj17+Pbbb5k4sXB9iw8dOsSff/6JSqViw4YNeQao1uTl5VXkNMLCwgDYtGkTP/zwA5UqVeLcuXPGAFpwPn5+fsY+3r6+vlbv721RkDpo0CDS0tKYOXMm06fr+0JVqVKFpUuX0q9fP6tm0FnExsYCGFfcssaXyNVLYjBEbtQK/Yfg0aNMALw93FBmmj//miOoGRrA+h8G6B846TkI5qldvQwAl/+OQZGRadFNPeu9oXrNgpvPHeVekmKFPqlRUVG8++67/P333wQHB7NmzRqaNWtmMqI4LzKZjEaNGrF161aOHz9ukyBVp9Px3//+l19//RU3Nze+/vprk4ElAwcOZM+ePSxbtoxRo0bl2pUuu3nz5gHQt29fatSoUWx5t7ZmzZoBcO/ePQAuX77M//73P5ePG2RWau53xMn8szbxr1692urpWzwPxfDhwxk+fDixsbF4eHjY5Jecvd24PM3YPJvd9atbAVBIp7n+90e57mMuUWuWO0Nzv4GXhxgNLziPp6uWQS6XER+fyoPYZMJaLiz2YxYmkLUFfV/MeRa/fu3atbz55pvGPp2rVq0ytuYVVuPGjdm6dSsnTpywOB/m+Pbbb/nxxx9xc3Pj559/pkmTJibP9+zZkylTphAZGcmoUaP49ttv803vxo0b/PrrrwC89957xZbv4lCmTBlq1KjBlStXjNvmzJlDnz59UCgUaLVarl69ikqlIjQ01GVmYZCjQ07RxxlYI43i1LZtWzZs2IC/v7/J9sTERLp27cquXbvMTrPIk6UZag5Lgqee/tjY3B95wXQFmIdx+ptm6VIeYpLuYqZWmobvXp7KHNc8tM7sHO+RIDgCT5WC0MoBXI98wOW/owku/aSchtaZbcecOa7Lly/zwQcfGGeVadq0KbNmzTI7QAVo1KgRgE2C1Pj4eD744AMAZsyYQefOnXPs4+npyXfffUfLli357rvvGDp0KC+88EKeaW7evBlJkmjVqhW1atUqtrwXl7CwMK5cuUKlSpWIj4/n4sWLtGvXjvfee49x48YZu3BMnTqVjz/+2M65FcyxZ88e0tNztpY8evSI/fv3W5SmRUFqTEwMY8eOZefOndy7dy/HKgOWLH3lDP49P8lYk5r9whmC1LJ+apQuev6OwtDcb+Drqcr1mov3QXBUtaqX4XrkA65cimbAWz/aOzsOLS0tjRdffJHbt28jl8uZMGECU6dORaGwbCEEQ5B64cKFYh88NWnSJGJjY6lVqxajR4/Oc78WLVowePBgli9fzuLFi/MNUv/8808AwsPDrZ1dmxg4cCB//PEHn3zyCWq1mn79+rF371727t0LgFqtJi0tjWnTplGjRg0qV65M3bp1yczMzFFD5yxkSMisMOjJGmkUh7Nnzxr/vnjxoskMG1qtlq1bt1KhQgWL0rYoSB0wYAC3bt1i0qRJlCtXzmWq5Asi10l5jiJ/8FA/iKeMv4eY47IYVGgwjzun3wdy1qT6euUc3X/n9PsO3V0i6/kIJU+tamX4Y/tlrl1/YJNyUKGB5U3s9vbdd99x+/Ztypcvz65du3j66aeLlF7FihUJDAzk3r17nDlzxthP0tpOnz7NkiVLAP1CN1n7oeZmxIgRLF++nA0bNhAVFZXrPKKZmZnGOSlffPFF62faBlq1amUyVWW9evWYNm0aGzdu5JlnnmHDhg28++67rFu3jtdff93ktc8//zwbN26kTJkyts52kbjy6H6ABg0aIJPJkMlkubZueHh4sGjRIovStihIPXDgAPv377d4mStnVb7eDGNzf8zxCJPn4uL00yEF+bo77SAeR2e4rh7ZalL9PZ1v4FTM8Yii97URnFbFsvqR0vfuJeVadoMaf27rLDkkrVbL3LlzAX3/y6IGqPBk8NSWLVs4ceJEsQWpEydORKfT0atXr0J1S6hfvz4tWrTg4MGDLF68mJkzcy6nffz4cRITE3NM7eTMqlWrxrfffotOpzMGOkuWLOHOnTvExsaSlJRkrJk7cOAATZo04e2332bw4MGUKlXKzrkXACIjI5EkiaeeeoqjR4+adANVqVQEBgZa3PJh0fdkSEhIjib+kiZrzV1aeiZJGn0/jLJ+7qImtRjEHh1jrBlVKbLVpHq45bjmZZvMJ/boGBvlThDMExygD1JjYjUiIM3H4cOHuXr1Kv7+/gwdOtRq6WYNUouDTqcz9sEbN25coV/33nvvcfDgQT777DOGDBlCaGioyfOGgSdt27a1+EvfUWVdKrVMmTIcPHgQ0C/WkJCQwO3bt+nUqRORkZG8//77TJ8+nXfeeYcxY8Y4/FyrCpmEwgoj862RRnGoXLkyoC/31mZRkLpgwQLGjx/Pl19+SZUqVaycJeeQtfYj5r6+P6pSIae0hxKZk9XqOYNSzf+Ph4feAcBDblqTWiqXKageHnpH1FQKDqtCgL4fZMx9jbFcW0up5v9n1fTsybAefbt27fDx8bFausU9eOrq1askJibi7u7OM888U+jXde3albZt27Jr1y4++OAD1q1bZ/J8ZGQkoK91LSlkMhn+/v74+/tz9uxZfvjhB5YsWcK5c+eYMWMGX375JVevXi3U1F324urN/VldvXqV3bt3c+/evRxBqyUD4Sz6Hu/VqxcpKSlUrVoVT0/PHBPxGtYRdjUJh99HeryMZda6PENTf2k/dxQSJpOxC9aRcGAUcsDv+UWUTt4O/GF8zs9F1rr3e34RCQdG2Tsbgg2UL6UPUh8mPiLjUSZqVf61Yn7PW9afy9kZatNatGhh1XQbN24MFN/gqePHjwPQsGFDsyaql8lkzJ8/n/r16/PLL7+QkJBgEnw9ePAAwOn6ZFqLv78/w4YN48033+SXX35h8ODBxoUZ8htsJtjG8uXLGT58OGXKlCE4ONhkvJJMJrNdkOrKq0rlxy9sXq4rTj1K2Q78SGCFqoX6MkndNawYclcypO4ahnT+rsm2AJUMv+cXOf11Td01jPyHVgiuIshdgcpNTnqGjocxCTz9+hp7Z8nh6HQ6Dh06BFg/SK1QoYJVBk8lJSWxcuVKOnfubLIkuCFINQTD5qhXr55xLtE///yTHj16GJ8zBKmlS5e2KL+uQi6X0717d7744gt27drFzZs3HTpILSk1qTNmzGDmzJlmdXEpiEVBav/+/a2WAVcQtUs/t2EZxQMythfcb0o0QxeNR7bJJALclWRsH2rWdXV7aXmh3itBKC7BpTy5dS+ZezFJPPW4LLq9tNzOuXIcly9fJi4uDg8PD6sPEso6eOrkyZMWBanp6enUqFGD6OhoTp48yTfffGN8zhCkPvfccxblr2PHjly5coXNmzeLIDUfhj67hm4QjkqOdQJMR56xBuDhw4e8+uqrVk3T4njp+vXrrFq1iuvXr7Nw4UICAwPZsmULlSpVok6dOtbMo8PQ7hiJ1itnXZdh+qmyvmqXaHZ2dNnnSS2Vy8CpwnCU90rx8tcAaLcOsXNOBFsqF+DBrXvJxDxIMZbF3MqAoXyUNDt37gT0E/cXx9rudevWZcuWLVy8eNGi13/44YfGUeeGoBT000SdPHkSsKwmFfRB6oIFC1i5ciXPPfccr7/+On5+fiJIzcYwJubmzZt2zYeg9+qrr7J9+3aGDbNeq6ZFQerevXvp0KEDLVq0YN++fcycOZPAwEDOnDnDihUrWL9+vdUy6EjkOh1ybc7Ra/fjDUGqe67PC9aVfQoqXze52ddd2jQIOSDrtNL42F4Mx3b0X8mCdRn6pUbf1+RZfg3ls6Q5efIk48ePB4pv0nrDak2GFY7M9csvvxj/zjqn6a1bt0hJScHd3Z0aNWpYlHbLli3x9PQkJSWF4cOH8+DBAz788EMRpGbjPDWpJaO5v1q1akyaNIkjR45Qt27dHD8u33nH/EGiFgWp48ePZ8aMGURERJiMuGzbti2LFy+2JEmnIAtfgiyXPqn3f30TOEtQk9eRdZqU62vtGQS5GpXyySATHw83FIrCh3fZg1Lxvgj2EhzgCUDUwxTjtpIalGY3atQoNBoN7du3JyIiouAXWKAoQWp8fDzXr183Pk5LSzP+/e+//wL6RQMsnSZKrVbz2WefMXz4cADu379PcnIyGRkZgAhSDQw1qY4epMqsFKQ66opTBl999RXe3t4mK4gZyGQy2wWp586dY+3atTm2BwYGmqwkUZDZs2ezYcMGLl26hIeHB82bN2fOnDkmEzY/evSI9957jx9++IG0tDTCw8NZsmQJQUFBxn1u3brF8OHD2b17N97e3vTv35/Zs2ejVD45vT179hAREcGFCxcICQlh4sSJDBgwwJLTzyH6zFYAykZtht9v5LpPyViTyzbUWaag8vNyQ6aToPMq+H1gwS9+vI/LvB+dVz35u6DzL+w1EmyivL++JjXKs5EITrMxNN9+8sknBa7UZKmaNWsCEBUVlWMUfUFOnTpl8jhrkHrnzh0Ai5eBNBg2bBj//vsvM2fOJDMz01iL6u7ujqenZ5HSdhWGmtR///2XzMxMk+98wfaK48eCRS2M/v7+REVF5dh+6tQpsz6Ye/fuZcSIERw5coQdO3aQkZHBSy+9hEajMe4zZswYfv/9d9atW8fevXu5e/cu3bt3Nz6v1Wrp1KkT6enpHDp0iG+++YbVq1ebTHUQGRlJp06daNOmDadPn2b06NEMGTKEbdu2WXL6OVxL8gaganDOWlbB+lRuT4qtn+fjLzBzg6+swZ2j6ryq4Hz+PvDJv4KIANWhlHvc3B91Zrvp+5j9XwmUmJgIUKxzX/r5+VG+fHnA/NpUw/yqhpbE4ghSAWPQpdVqRVN/LoKDg1Gr1Wi1Wm7fvm3v7OTJ0NxvjX/OID09ncuXL5OZmVnktCz62dG7d2/GjRvHunXrkMlk6HQ6Dh48yNixY+nXr1+h09m6davJ49WrVxMYGMiJEydo2bIlCQkJrFixgrVr1xqXlVu1ahW1atXiyJEjNGvWjO3bt3Px4kX+/PNPgoKCaNCgAdOnT2fcuHFMmTIFlUrFsmXLCA0N5bPPPgP0zTwHDhxg/vz5Re7vpNVqjc0+1ft9CYbFDX4dUKR0hbypszTv+3i4gU6CV1abd82d4f0pTB5fWV34/c29RkKxMvRJjYpL0ZdhAdBPPZWcnAyQ65R/1lSrVi3u3r3L33//bdYIf0OQ2rx5c7Zt25Zrc781glRDd4GsNakiSH1CLpdTuXJlrly5ws2bN3Os0OUoZEhWaap39Ob+lJQURo0aZZzp4sqVKzz11FOMGjWKChUqGPuZm8OimtRZs2ZRs2ZNQkJCSE5Opnbt2rRs2ZLmzZszceJES5IEICEhAcC4xNmJEyfIyMigffv2xn1q1qxJpUqVOHz4MKBfNq9u3bomzf/h4eEkJiZy4cIF4z5Z0zDsY0gju7S0NBITE03+5eXWrVukp6ejUsoJOfmxPggQgUCxUimfFFuP8s88CdSyBmwlhaG8FabMiXLpUMqV0jfZ3n08O4iJV1Y/+VfCGAJUsE2QCpbXpDZv3hzQd0sDyMjIEDWpNuYs/VJLggkTJnDmzBn27NmDu7u7cXv79u358ccfLUrToppUlUrF8uXLmTRpEufPnyc5OZmGDRtSvXp1izIB+l/Po0ePpkWLFsZl5KKjo1GpVPj7+5vsGxQUZJz6Izo62iRANTxveC6/fRITE3NdbWT27NlMnTq1UPm+evUqAFWDfcwawCNYLuvAKfeEK/rgyxlrCQ0BiK3y7YzXyIVVLeeDTCYjNuERUU1mm4wQL8kMlQJKpRK1Wl2sx7IkSL19+7bxvm8IUtPS0hg3bhyLFy829qGtWLFikfMnalILZlhEwfCeOCI5OuQUfeYfa6RRnH755Rd+/PFHmjVrZrLaVJ06dUwGGpqjSL2MK1WqRKVKlYqShNGIESM4f/68ca1me5owYYLJiNLExERCQkJy3dfwwaheXvRHtZWsNanuhuUkrRF82TqIs3XAKAJUh+Lj4cYzzzzDuXPn+Ouvv+jatau9s+QQDEGqr6+vyRddcahcuTJArmMs8mLoNtamTRtjbWlaWhpz584F9E2eIGpSbaVu3boAnD171s45yVtJmYIqNjaWwMDAHNs1Go3Fn2WLgtRBg/KftmflSvNGqo4cOZI//viDffv2mfz6DA4OJj09nfj4eJPa1JiYGIKDg437HD161CS9mJgY43OG/w3bsu7j6+ub65rNarW6cL/gN/bj6pZjANQo5wM6x/6V4yqy1ld7uMmLdt27fav/f2M//T9BsKGmQamcOwdHvp1IV2lD4V9oKLcuKCkpCSj+pn540rUsLi6uUPvfv3+f5cv1q4JNmDDB+D2RtU+qgeiTahv169cH4MyZM3bOidC4cWM2bdrEqFGjAIyB6ddff01YWJhFaVoUpD58+NDkcUZGBufPnyc+Pt44wKkwJEli1KhRbNy4kT179uTo9NyoUSPc3NzYuXOncWm4y5cvc+vWLeMJh4WFMXPmTO7du2eM4Hfs2IGvry+1a9c27rN582aTtHfs2GHxRTPq9i1XlncELlG947uA/WuBSxpjTaqlLA1Mswa3ttLtWxFIu4IsAWazuBV8/ecQ/npY1qUDT3NkrUktbqVKlQJyfqflZePGjaSkpNCgQQPat29vrIHNLUg1VJIUhahJLZihJvXOnTs8ePDAIa+PQpJQSEWvBbVGGsVp1qxZdOjQgYsXL5KZmcnChQu5ePEihw4dyjFvamFZFKRu3LgxxzadTsfw4cOpWrVqodMZMWIEa9eu5ddff8XHx8fYh9TPzw8PDw/8/PwYPHgwERERBAQE4Ovry6hRowgLCzOOxHzppZeoXbs2ffv2Ze7cuURHRzNx4kRGjBhh/JU7bNgwFi9ezAcffMCgQYPYtWsXP/30E5s2bbLk9E0Ym/uj10PZot+UhHyYfIl/B4C7WxGDVEvZI1gUAapryPI+NkuOB+DYkQNo1//3Sb/2EhywGoLUrAvFFBdDkJqQkIBOp0Muz39cgaHvaps2bZDJZMbvGK1WS9myZYmNjTXua42lXLPWpBpqmB0xCLMnX19fQkNDiYyM5MyZM2ZVlNlKSWnuf/755zl9+jSffPIJdevWZfv27Tz77LPGAe6WsNrMt3K5nIiICFq3bs0HH3xQqNcsXboUgNatW5tsX7VqlXGi/fnz5yOXy+nRo4fJZP4GCoWCP/74g+HDhxMWFoaXlxf9+/dn2rRpxn1CQ0PZtGkTY8aMYeHChVSsWJGvv/7aKtNPGUYUVhu4ArL2W13ft0hpC7nI5Zp6uClAm88Ht+d3ZqVX7Az5EeVDAGoG++Dj4UZSagbnb8ZTv4o+aMq3fORXpl2ALZv7DUGqJEkkJCQYH+fl8uXLAMYFZ7J2C8s6v7e1iJrUwqlfv75DB6klSdWqVY1dYqzBqsszXL9+3azJW6VCVF27u7vzxRdf8MUXX+S5T+XKlXM052fXunXrHKuEFFV8fDxarRaA4IPjQSlG99uaR0HN/QUFg7YOGkVwKmQJMhVAo2V32bNnD6fK9KR+zwF2y5ajsGVzv0qlwtPTk5SUFOLi4ooUpBoGTFlTbn1SDf1ohSfq16/PL7/84rD9Ul25JjW/KTqzs+QzbVGQmn0tZUmSiIqKYtOmTfTv39+SJJ1S3Fr9ADJvdyVuIkDNX161P0UM2sr6uhe8U36cKWgUtbDOL5fPQf369dmzZ4/DfsHami2b+0Ffm5qSklJgv9S0tDRjy5khSFUqlchkMpMKl1q1arFgwQKr5C1rTaphLlaxJGpODRo0AODgwYNIklTss0KYy5WDVH9//0Jfb0OlnjksClKz10jK5XLKli3LZ599VuDIf1fysOlHwG8EeBfvXH4uwcqB1YIBjdl6+i5D21WzToLZgwdHDAQdMU+CeXJ5D+tn6OcPPLPjf7D+fsFpiOZ+qwoICODOnTsFBqk3btxAp9Ph4+NjHBQlk8lwd3cnNfXJggwHDhywWm1n1ppUQyulWJ8+p3bt2uHt7c21a9fYvXu3aPK3od27dxv/vnnzJuPHj2fAgAHGgemHDx/mm2++Yfbs2Ralb1Fpz5qpkizu1wkABHir7JyTkufdTjV5t1NN817U87u8Az1HDgCdIYAWzJPlPa3/1ElY0ogzURlIPb51uFogW7Nlcz8UfoS/oam/Ro0aJu+RWq02CVJzm9bQUllrUkWQmjcfHx/69evHkiVLWLJkicMFqTJJh1wq+hSVMiukYW2tWrUy/j1t2jQ+//xzXn/9deO2Ll26ULduXb766iuLWtpFaS+CuDqDgV36IFXMkWp7r62Bn/oUfn9z9nUkzppvIW+G9/S1NdSuXRuFQkFcXBx37tyxykpFzswezf1Q+CDV0NRvkH1O7azLQRaVqEktvLfffpslS5bwyy+/cPHiReMUlI7AlZv7szp8+DDLli3Lsb1x48YMGTLEojQtKu0NGzYs9K/9kydPWnIIp2CYADrAS9Sk2s1ra/T/i0BOcCaGcos+qKlZsyYXLlzgzJkzJT5ItXVzvyFILWhC/8IEqe7u7latCRc1qYVXp04dunTpwm+//Ub//v05fPiwuFY2FhISwvLly42rrxl8/fXXea7aWRCL3sGXX36ZJUuWULt2bWO/gyNHjnDhwgWGDx9u1eYOh/VTH+L2nQMQfVLtxdEDU3NreoWSI1u5qO+fzAXgzPcf0UmzNv/XZglwXZGjNvdfunQJyBmkZq05tfZ3n6hJNc/SpUvZt28fx48fZ+3atfTr5xhzS8slCbkVJuK3RhrFaf78+fTo0YMtW7bQtGlTAI4ePcrVq1f5+eefLUrTotIeGxvLO++8w/Tp0022T548mdu3b5u9LKpTem0NcYdGA+dEn1R7cIYA0NHzJziMhqEBrD34D8evP8j5pIsHpdnZurnfMMgpvyBVkiQuXLgA6Gvssspek2pNoibVPOXLl6dXr158+eWX3Lhxw97ZMSopzf0dO3bkypUrLF261PijrnPnzgwbNsy2Nanr1q3j+PHjObb/97//pXHjxiUjSCVLc78IUm2vqAGgMwS5QokRVr0MAIeu3HfIKXRsyRFrUu/evUtiYiIKhYLq1aubPJc1SC2umtT09HTjNFciSM2fodwkJyfbOSclU0hICLNmzbJaehaVdg8PDw4ePJjjw3rw4EGr/5J0ZA8v7AREc79TKkyAmrUGy54BbfaaNBFcO7dcakYbPXqE2wxfYhIeEfncDJ566ik7ZMwx2KtPan5BqqEWtXr16jkGShVnkGoISNPS0nJsE3Ln7e0NOFaQ6srN/WfPnuWZZ55BLpdz9uzZfPetV6+e2elbVNpHjx7N8OHDOXnyJE2aNAHgr7/+YuXKlUyaNMmSJJ1SnHsV4C4B4eOgWzf44Q17Z6lk6b22eK+5o7yfjpIPodi4u7vTqFEjjhw5wqFDh0p0kGqvmtT8Bk5dvHgRINcR47bok2qYyB9EkFoQhwxSXbi5v0GDBkRHRxMYGEiDBg1yLG5hIJPJbDeZ//jx43nqqadYuHAh33//PaBfZWPVqlW89tprliTplIzN/ae+gLR1ds6Ni+qdxyCSH94QwZvgUpo3b24MUv/73//aOzt2kZGRYQzI7D0FlUaj4bfffuOff/5hy5YtQM7+qCBqUh2NIwapriwyMpKyZcsa/7Y2i0v7a6+9VqIC0twYgtRSPT+H7NXYIoCyjoKuY9Yg1tWvueFcrXmexV0bLeSU2/XuvZbmzZvz+eefs3//ftvnyUEYmvrB/kHqu+++y4oVK0y25VaTaos+qaImtfAcMUjVN/cXfS51R2zur1y5cq5/W4vFpT0+Pp7169dz48YNxo4dS0BAACdPniQoKIgKFSpYM48OSZKkJzWphiXwxJe97dnqmhdHgGiu4ji2KLP2leVHVsuWLVGpVJw/f57du3fTpk0bO2bMPgxN/R4eHri5udnkmIb7d2JiIlqt1hgYGpr43dzcyMjIAAoOUotrdH/WmlRD/oTcOWSQ6sLN/cVNbsmLzp49S40aNZgzZw7z5s0jPj4egA0bNjBhwgRr5s9hJScnG6cECdgZIb7snVFeXQlyI7oXCNbSe+2Tf1mULVuWoUOHAvrp/HLr1+XqEhISANvVogL4+/sb/46Li2PTpk1ER0cTHR0N6Ofe9PHxISgoKMccqWC70f2GxyV55ofCcMQgVbCcRTWpERERDBgwgLlz55rcTDp27Mgbb5SML3JDLaparcaj348gk4kgxpZyCzDNvf7i/RLsIWu5y1aOJ0yYwNdff83+/fs5duyYcWBqSXH//n0AypQpY7Njurm5oVKpSE9PZ8WKFUyYMIGgoCBjwNy2bVuuXLmCTCbLMbIfinfgVPamfdHUXzBDTOJIQaorj+4vbhaV+GPHjvHll1/m2F6hQgXjr0+XtH4weOqboB7e1PdfCvCQI/tRTAlkc9kDTHNqRQXBQVWoUIFXXnmFn376iS1btpS4IDU2NhbAOBDDVjw8PEhPT+eXX34BICYmxvhcUFAQnp6eeb7WFjWpBiJILZhD1qRKEjJrBJgiSC0ctVpt7DuU1ZUrV2x+c7Gpnivg8bQocbt2AVsJqPBU7gHSmt62zVtJ1OeHJ9dZXG/BmfT5Ic+nXnzxRX766Se2b9/O5MmTbZgp+7NXkOrp6UlCQoIxwDHw9fXNN0AF24zuz+uxkJPhPcw6CE+wHcN4pevXr/P+++8XebySRX1Su3TpwrRp04ydyWUyGbdu3WLcuHH06NHDkiSdjuFmahw0JdietQPTfAIHqx7DFscRnNaLL74I6OeeNjQ5lxT2rEnN+r9BcHBwga8VNamOxRCkpqenG/vy2pscndX+ObKs45U+/fRTq4xXsihI/eyzz0hOTiYwMJDU1FRatWpF1apV8fb2ZubMmRZlxNlcu3YNwHTS7TW9n/wThNyI8iEUoHLlytSoUQOtVsuePXvsnR2bsneQmr2FsFy5cgW+Nmuf1OIa3Z/XYyEnLy8v498ajcaOOXnC0CfVGv8cmWG80tWrV00+Cx07dmTfvn0WpWlRiffz82PHjh0cOHCAs2fPkpycTKNGjWjXrp1FmXBGly5dAtCP9hRBh/Vlr220xTV2xvfRHtdJMI8FNecvvfQSV65cYfHixXTu3Bm53KL6BKdjGDhlryA1+6pToibV+ahUKuNAuOTkZPz8/OydpRKjOMYrmVXiDx8+zIMHD/jPf/4DwPPPP8/169eZO3cuKSkpdO3alUWLFuU6AtLVGILUmjVrQsoZO+fGBRUUbGXtj1qSiWvg+LK/R4UIWkeOHMmKFSv4888/mThxIh988IHJVEmuyp59UgEePHhgst3eQaqoSbWMt7c3cXFxDhOkKiQJhRVqQa2RRnEqjvFKZv08nzZtGhcuXDA+PnfuHEOHDuXFF19k/Pjx/P7778yePduijDgTSZK4fPky8DhIFf0Mbc+CL35BcAhZuwVl//fY008/zaeffgrA7NmzqVq1qnFyeVdm7+Z+RwtSs9ek2mqBA2fnaCP8S0pzf3GMVzLrZ9np06eZPn268fEPP/xAkyZNWL58OQAhISFMnjyZKVOmWJQZZxEVFUVSUhIKhYKqVauK2ixHkTVQdaX3RDTpu5ZC/qAaPnw4Op2OBQsWcP36dQYMGMChQ4dcujbNEKTacp5UeBJcZh9oY26fVFGT6hgcLUgtKT777DN69uxpMl4pOjqasLAwi8crmVXiHz58SFBQkPHx3r176dChg/Hxc889x+3bty3KiDMxNPU/9dRTqFSqvL90vutlw1yVcOZe674/Ot770/dH/f/Z8+Vo+RSKJr/301AG0NdCjBw5km7duvHMM88Y+3uNGDHCBpm0PZ1OZ6zJtFdNanbm1qRae+CU6JNqGUcLUuWSDrlU9JH5lqTxxRdfMG/ePKKjo6lfvz6LFi0q1PzLP/zwA6+//jqvvPKKcf7gghjGKx08eJAzZ86QnJzMs88+S/v27c3Ot4FZJT4oKIjIyEhCQkJIT0/n5MmTTJ061fh8UlKSazdH/DAAPNy49Kd+ZH9Nb40IIJyV4X3LKzC0B0fIg1D8sgSihVGhQgUmTJjAuHHj2LZtm8sGqXFxceh0+i9hW9ek5jUXqr2b+0VNqmUcL0i1z4pTP/74IxERESxbtoymTZuyYMECwsPDuXz5MoGBgXm+7ubNm4wdO5YXXnjBony2aNGCFi1aWPTa7Mzqk9qxY0fGjx/P/v37mTBhAp6eniYncfbsWX3zt6vqvRr6/shl/+cBeLrdG/ovHMM/wbkYalNFcCg4OMN99ujRo0gO3i/NUoamfn9/f5tXduQVXBamuV+M7nc8jhak2svnn3/O0KFDGThwILVr12bZsmV4enqycuXKPF+j1Wrp06cPU6dONZ1isxDeeecd/u///i/H9sWLFzN69Ghzsw+YWZM6ffp0unfvTqtWrfD29uabb77RN3c/tnLlSl566SWLMuJMbty4AUC1e7tg9at2zo1gNGCd6eOC3puS8N4NWFcyztOZrH41Z1ktQIMGDVAqlcTExHD79m0qVapUTJmzH3sNmoKcwWWTJk1o165dvrVNBqJPquPx8fEBHCdIlSMhxwo1qY/TyD6CXq1W55hVKT09nRMnTphMoi+Xy2nfvj2HDx/O8xjTpk0jMDCQwYMHs3//frPy9/PPP/Pbb7/l2N68eXM++eQTFixYYFZ6YGaQWqZMGfbt22dcPi77r7x169blWFbOFd25cweAiq9Ng06dnjwhgoHiU5hgqziuf9Zgwl7vr7nBt6X7Cg7Lw8ODevXqcfLkSY4ePeqSQaq95kiFnMHlrFmzCj3vd3HWpGafH1cEqYXjaEujWru5PyQkxGR7bgPW79+/j1arNRlHBPpum4ZxNdkdOHCAFStWcPr0aYvy9+DBg1yn/PL19TV+vs1l8WT+uSkpS4TevXsXgPLly+s3iECg+NniGucWCFv7uJYEnKJ8Cehr9wxBas+ePe2dHauzZ01q9j6pefVRzU1xBqmgD0wzMzONfwsFc/Xm/tu3b+Pr62t8bI256ZOSkujbty/Lly+3uE94tWrV2Lp1KyNHjjTZvmXLFrO7DhiIEm+mjIwM7t2LAaDC/o/hjHVHcwp2ZMtgUASeJVt+738eXQGaNGnCsmXLOHr0aDFlyr5iYvT3VUeoSTUn2CzO0f2g75cqglTzOFqQKrPS6H7Z4zR8fX1NgtTclClTBoVCYfxcGcTExOQ6IPD69evcvHmTzp07G7cZBjIqlUouX75c4JijiIgIRo4cSWxsLG3btgVg586dfPbZZxY19YMIUs0WHR2NJOnftDIjf4XCLle40vVqPpzaoPX2eU/MPaa98inYz8qe+vc9m8aNGwNw8uRJdDqdyy2Valgoplq1ajY/dvag1NFqUtPS0ox/CwVztCBVrpOQ66zQ3G9GGiqVikaNGrFz5066du0K6IPOnTt35qjpBP3CROfOnTPZNnHiRJKSkli4cGGOLga5GTRoEGlpacycOdM4p36VKlVYunQp/fr1K3TesxIl3kyGpv5y5co9+ZIQQYRt5PLFbfG1d5b3LLeAxVnyLuQtt7JcgJo1a6JWq0lKSuLmzZsWN585qlOnTgHQsGFDmx+7KDWpxTlwCkxH+IsgtXAcLUi1l4iICPr370/jxo1p0qQJCxYsQKPRMHDgQAD69etHhQoVmD17Nu7u7jzzzDMmrzcsxZx9e36GDx/O8OHDiY2NxcPDo8jjlESJN4NGozGO7C9XrhwajUb/RK9vYNXrdsxZCbG4S97PDfyf870HA/9n+jiv/Od33oJzMtw7zFSrVi1Onz7NkSNHcgyIcAaaLOed9e+kpCSuXr0KQI0aNUyes4XstdKSJBU6DwqFAoVCgbu7O5mZmVbPe/bA1NbXxhkZpjBLSEhwiOsll8yf4zSvdMzRq1cvYmNj+fjjj4mOjqZBgwZs3brVeO+4detWsbXIWKvbjkxy1Un3rCgxMTHPwWKCIAiCIDi2hISEAvtxWpshdvgtcjZevkXvr6xJfESX0Al2OZfCiImJYezYsezcuZN79+7lmNNZq9WanaaoSRUEQRAEQRCKZMCAAdy6dYtJkyZRrlw5ZDJZkdMUQaoZ7t69y/vvv8+aNWuYOnUq7733nr2zJAhCCXLgwAFefvllKlWqxMWLF+2dHbNpNBpjU2PZudeRqfUDlBLXjuHRXz/g+dJovDuNs3m+Mm6e5OH8x3Neu7kT+GmkzfOQl/uTG6GL14+FUDfugV/fxXbOkeNLv7yP+CW9UJSrRanRv3J/XA275keOleZJtcKCAMXpwIED7N+/nwYNGlgtTbsGqfv27WPevHmcOHGCqKgoNm7caByFBvqo/JtvvjF5TXh4OFu3bjU+jouLY9SoUfz+++/I5XJ69OjBwoULTTrrnj17lhEjRnDs2DHKli3LqFGj+OCDD8zOr5eXl3E6hypVquDl5WV2GoIgCJZq2rQpoO9Llp6eTqlSpeycI8vdry5H5q4fFKSL008unvpcXR7VUOT3smIhuWW5l7t7cN8OeciLTv3kazqtlJtD5c1RSY/0K2FqlVoeVLX/9bL2ZP6OKiQkxOrLNts1SNVoNNSvX59BgwbRvXv3XPd5+eWXWbVqlfFx9klr+/TpQ1RUFDt27CAjI4OBAwfy5ptvsnbtWkDfJ+Sll16iffv2LFu2jHPnzjFo0CD8/f158803zc5zjon8BUEQbMTf35/q1atz9epVFi5cmGOVGWeS9GJZ4w99RcpDdIB/aGncyqTbPC+ZqQriHv8t93CnjB3ykJcHbjIMPfncPWX4OlDeHFV6gEQ8oJBlUKp0OpatdSSYa8GCBYwfP54vv/ySKlWqWCVNuwapHTp0oEOHDvnuo1arc514FuDvv/9m69atHDt2zDiH4KJFi+jYsSOffvop5cuXZ82aNaSnp7Ny5UpUKhV16tTh9OnTfP7550UKUitUqGD2awVBEIpqxowZ9OrVi5kzZ9KlSxeeffZZe2epyGRp+hHY3qXdUHtn2Pz4mQFKY5Cq8FDja4c85OWhm8IYpKrc5Q6VN0f1yAfiAZkuE1/vDLsHqSWlJrVXr16kpKRQtWpVPD09jbMsGMTFxeXxyrw5fJ/UPXv2EBgYSKlSpWjbti0zZsygdOnSABw+fBh/f39jgArQvn175HI5f/31F926dePw4cO0bNkSlUpl3Cc8PJw5c+bw8OHDXJvL0tLSjJMng742FiA1NZX4+HiAPANnQRCE4vTaa6+xfv161q1bx4ABAzh27JhVlkW0h7qR1wGQUlMBcPd3R602fwRwUWX6Pvkyre3vh9aCPJwL1a/GYzgna5Ern0wRpFTLcbfD9XE2kof+msm0mahV9r9eMp0Omc4KK05ZIY3iZOmqUvlx6CD15Zdfpnv37oSGhnL9+nU+/PBDOnTowOHDh1EoFERHRxMYGGjyGqVSSUBAANHR0YB+hajQ0FCTfQwd96Ojo3MNUmfPns3UqVNzbL937x6gr901THIrCIJga1988QV79uzh3LlzTJ8+nRkzZtg7SxY5F1oVSZKQp6QA4OXvhkpt+5pCnd+Tr8JrCqhjQR6a3tX3q/W08u8FufJJn0o3lQxPO1wfp+PxuMZRm4GnOtO+eSlB+vfvb/U0HTpI7d27t/HvunXrUq9ePapWrcqePXto165dsR13woQJREREGB8nJiYSEhJiDFKDg4OtMrWCIAiCJcqWLcuyZcvo0aMH8+bNY8iQIVbrA2ZLLWL+Rpv6CB43Y6p9PFAobN+kKXm6gUwGkoTS0x2lHfKQl6w1qQo3hUPlzVEpVfprJmVq7VKesispzf0A169fZ9WqVVy/fp2FCxcSGBjIli1bqFSpEnXq1DE7Pada/Pmpp56iTJkyXLt2DdAHi4bA0SAzM5O4uDhjc3xwcLBxRL6B4XFeTfZqtRpfX1+Tf4V5nSAIgq10796d9u3bk56ezsSJE+2dHYscDKrF714VjY/lHkWf8NwSMpkMubu+ClTublkeDgbV4mBQLWtmCwCZ4kldkkxp/5HqzkD2uC+kZMHk8cXBEKRa458j27t3L3Xr1uWvv/5iw4YNxmVpz5w5w+TJky1K06mC1H///ZcHDx5Qrlw5AMLCwoiPj+fEiRPGfXbt2oVOpzNO1RIWFsa+ffvIyHjSRLJjxw6efvpps6dvEUGqIAiOZM6cOQCsWbOGS5cu2Tk35msVe4H/3DoFgNxdjZubDKVcZ5d/hiC1falAi15vYO18yRRPvqYH+gXb7fo41T+3xy2dmZkm741QvMaPH8+MGTPYsWOHyTigtm3bcuTIEYvStGtzf3JysrFWFCAyMpLTp08TEBBAQEAAU6dOpUePHgQHB3P9+nU++OADqlWrRnh4OKBfx/rll19m6NChLFu2jIyMDEaOHEnv3r2NU0S98cYbTJ06lcGDBzNu3DjOnz/PwoULmT9/vtn5zdrcLwiCYG/PPvssnTt35vfff2flypXMnTvX3lkyy96ydbhwD54BFJ4eKBX2CygUHu5kPkzAw6No+bD2OcjdsgycUirteo2chZva0NzvGEGqXKdDYYVBT3IHHzh17tw54/SfWQUGBnL/vmVzLNi1JvX48eM0bNiQhg0bAhAREUHDhg35+OOPUSgUnD17li5dulCjRg0GDx5Mo0aN2L9/v8lI1jVr1lCzZk3atWtHx44def755/nqq6+Mz/v5+bF9+3YiIyNp1KgR7733Hh9//LFF00+JmlRBEBzNoEGDAPj2229NWoychUajn36qnLd91yI3dDXw9PS0az6ykymeNPErlQ49jMRhGK6ZlCma+23J39+fqKioHNtPnTpl8bSddi3xrVu3znd1gm3bthWYRkBAQK6Re1b16tVj//79ZucvOxGkCoLgaDp16kRgYCAxMTFs3bqVzp072ztLZjEEqffdlVSzYz4Uj5v7N8k0VLfg9e3izlk3Q49lDVJXpd+ncrEcxbXI3PShjaTVIjn4UqKupHfv3owbN45169Yhk8nQ6XQcPHiQsWPH0q9fP4vSFD/LzCCCVEEQHI2bmxt9+vRh/vz5/Pjjj04bpCq9PFDK7RdQKDz0QarS0x2lXGKbfz0AwuPPFur15u5fWFlH9w/3rch2O14jZyGpngT2Csn+U1DJdRJynRVG91shjeI0a9YsRowYQUhICFqtltq1a6PVannjjTcsHtwpglQziD6pgiA4oh49ejB//nz++OMPFi1aRGRkJHPmzMmx4oujCY8/S/S9iwAovDzsmhdDc7+hRtXcYNPawalB1tH9yzPuiZrUQsha+yxlOECQKumQS1bok2qFNIqTSqVi+fLlTJo0ifPnz5OcnEzDhg2pXt2Stgk9EaSaQdSkCoLgiJo1a0ZgYCD37t3jnXfeAaBMmTJ8+OGHds5Z/rb512MlxxmMoSbVfl/Cysc1qW5eaocYbGOQdeCUwk3uUHlzVDLVk3nMFTr7B6klTaVKlahUqZJV0hJBqhnS09OBJytWCYIgOAKFQsErr7zC8uXLjdumTZtGly5deOaZZ+yYs4IZm/s97VuT6l5Bf1+fWq0pr/o2oFPiabvmx0Amf1IrKFco2ORAeXNUWeeTdYTBUyWlud8wiDMvK1euNDtNp5on1RH4+fnh4WHfm6kgCEJ2PXr0AKBUqVK0bt2atLS0Is1PWFiRkZFMmTKFpk2b4u7ujkwmo02bNoWecsYQpNq7ub/m5HdovO7/6Natm0Wv3+TbgE2+DaybKUwDLplSYQxQi+t4rkCWZRYEndb+Nan6kfk6K/xz7CD14cOHJv/u3bvHrl272LBhA/Hx8RalKWpSzSSa+gVBcEQvvfQSq1evpl69elSsWJEOHTpw4sQJmjdvzv+3d+9xUZX5H8A/M8BwFRAVEMNbmrcQXU0k18smq5i6eKnUzFulZdhqWKtuJmoZamtrmeWubVr+NM1Kbc0sQ9HN0LyGqblqtLgtYF4QQeUy8/z+wHOcGYbLHGbmHGY+79eLVzNnzjznex7G5sPznMuUKVPw1ltv2byE0ebNm3H9+vUaR0HMvfXWW1i+fDl69+6NDRs2yLNMEunW1Z999hlatKj6KMrBhcdx5vJ5AIBXgDp3m5L4NAxG+IDeSLrxg6L3O2t00/xi/uaBlaOpVdPpdNB5eVWc3V+ufkj1FFu2bKm0zGQyYerUqbj77rsVtcmQaqdGjRqpXQIRUSU6nQ4TJkyQn+/evRtTp07Fhg0b8Le//Q25ubnIzs6GTqdDTEwMunbtisjISDz22GMAKm473a9fvxq3c+vWLbz00ksoKCjA+fMVAbNPnz6YNGkSevXqhcLCQgwZMgRZWVmIjY3Fpk2b5BuwWPs8uAueKw/CcgCGID8YvNSfmtUaL7NjUn0MevZRLem8K0KqN8/uV5Ver0dKSgr69euHP/3pT3a/nyHVTlq70DMRkS3BwcFYv349hg8fjocffhifffaZ/FpWVhbWr19vsX5qaioyMjKg0+msm7Kwbds2eeouMTERw4cPx+TJky3et3//fjz66KM4ePAgHnroIXz77beIiYmx2d6Wgv8AqLjjlBZsCeyG4cVHal7RxvsAKHpvdczPVDd/TNXTeXsBJdDESKoejrkQv76eXvP1/PnzKFf4e2BItZOfn7pTUkRE9njooYewfPlyLFq0CE899RR69OiBEydOYMuWLTh8+DDuvfde/Pvf/8a+ffvwzDPPYMiQIQgPD0doaKjNS8esWbMGAPDiiy/ilVdesbnN1q1b41//+hcSExOxe/duDB48GBkZGTZPOjXdvAEAMARp46z6h28egreCszUevnkIABS9tzpeZg16G3h2f23pfbxhBKA31b+7sNVXKSkpFs+FEMjNzcXnn39uMctjD4ZUO/GkKSKqb6ZPn47p06fLz4cOHYo5c+bg+++/R9u2bZGWloZFixZh1apVWLVqlbzeiBEj8M477yA8PBwAcOHCBXz11VcAgIkTJ1a7TR8fH2zevBm9evXCjz/+iH79+mHv3r2V1vvNLT9cAGAI9IO3jgHMmkVI9dazj2pJf/v4XZ0GTpzSmUzQm+r+e9M5oA1nOnbsmMVzvV6PJk2aYNmyZXYd826OIdVOHEklIneg0+nQpUsXAMDLL7+Mfv36Yc2aNTh58iSuXr2KX375BZ9++ilKSkrw4YcfIisrC3v27IEQAn379kWbNjXfxDQsLAy7d+9G3759cfbsWbz77ruV1jG/4xRVZn6ylN6b0/21JfWbKFP/GF5POSZ1z549Dm+TIdVODKlE5G50Oh0SEhKQkJAgLztw4ADi4+PxxRdfYMiQIdi3b5/82qRJk2rddtOmTTF//nyMHTsW77//fqXXpZA6q2EstnmpP+olWePTS348qWy/anX4eN851tfXAPjd7iOpPjVr0zIp0L/kdQ/SVa6FlGNItROn+4nIE/Ts2RP33XcfDh06ZBFQgYrjXO0xcuRITJ8+Hb/88kul16SQ+o7vz4hCE+UFO4h5OAXUD4HW10kFKmpUuy6tk0LqqyXH1S0E0nVSHTCSqvHrpHbt2rXGEy8lR48erdV6DKl24kgqEXmK0aNH49ChihOCOnXqhJ9++gkzZsxAYGCgXe34+vrisccew/Lly+Vlzxn3wcfoj5+LKy76HxjkjQC9eie5rPTqJz9ONmbIjwNUvuWNwWyG399HYI1PLyQbM1SvS+u8fCo6biY64CuVa9E76JhUR7ThTImJiXj77bfRsWNHxMfHA6iYkTl58iSmTp2qaJCPIdVODKlE5CkeeeQRvPDCCzCZTFi3bh1iYmJs3hCgNqKjoy2e/9WrDwK9AvFpsQmFAFKDeyPWKxYAMN20u66l14mWTk4yv07qC773YbppN7xrN1jl0fS3TzgrK+PZ/a7y66+/4o9//CNefvlli+Wpqam4cOGCotuiMqTaidP9ROQp7rrrLnzyyScoLS1F165d69RWVeG2qKgIAPBGwHE0FL9WrKtCCJspvpYfaykEenvdKWal11E01XVQsZr6w+v2dP/fyxx73VolPOXEqc2bN+Pw4cOVlj/22GPo3r07Q6orcCSViDzJsGHDHNKOl9WF6OeKdPiYfFF0+5hU/0ADvKH+COYS3QDMEvZPEC/RDQAARe+tjvklqHy89Zroo/pAOiZ1vLETPqthXWfTmUwOuXyU1i9B5e/vj/3791e6vvL+/fsVZyeGVDsxpBIR2c/WSGr5rVLg9skgPoH8f6steq87IVXvrVccoj1NS58wXARgNKp/CSpPMWPGDEydOhVHjx5Fjx49AAAHDx7Ee++9h5deeklRmwypdmJIJSKyn3VIfUXXH3OLt8vP/QMN0GtklLAuo5WOHun0thpJdcY23NH/vCsOI9HCMameMt0/e/ZstG7dGm+88Qb+7//+DwDQoUMHrFmzBo888oiiNhlS7cRjUomI7Gc93Q8AZcW3Kl7z9YFexfvSL9Il4kWxEwDk/2qFzmwkdaZPP83Vp1WtvRvjv4Die8Y7kqeEVKDiZEulgdQWhlQ7cSSViMh+1iOp88UulN4OqYYgdf/4r03wW6RLrHZ9Z4VH87tMKb2ygqcw/x31934NgDZCqicpKCjAxx9/jJ9++gnPP/88wsLCcPToUURERKBZs2Z2t8dPvJ0YUomI7FcppOp+j2nFFbdJ1dLxqOajquZqCqFSQHJ0WDUfSWVIrZ553//scw2ANo5J9RImeIm6H6LhiDacKSsrCwkJCQgJCcHPP/+MJ598EmFhYfj000+Rk5ODDz74wO42+Ym3E6f7iYjsZ2u6f8KNWKwFYAj0hQHaGfGqSy2O3g+D2fWw3vTKwDLdBCwQ26t+AwEAvG73mxaOSdUJx0z36zR+x6mUlBRMnDgRS5cuRYMGDeTlDz74IB599FFFbfKeFXbiSCoRkf1sjQJKt0Q1BPq6upwqSQEwVTcEqbohKldjOZKq99YzoNaSdJjEP8u+V7kSz3Ho0CE89dRTlZY3a9YMeXl5itrkSKqdGFKJiOxXXUjV0nS/tVTdkFoFQ+t1pIBb11A5zKcrPr/92Pz4VKqe1FemcvWn+ytOnHLEbVG1PZLq6+uLwsLCSsv//e9/o0mTJoraZEi1E6f7iYjsZz3dv1R8jhPXvwEA+Ab6auaySi/q/oBF4jMsEncuAV+bL8oXdX8AAPl90n/r+iW7Q58lPzZ465CqG2JRG9kmXborwdQOu1SuxVPO7v/DH/6AhQsX4qOPPgIA6HQ65OTkYNasWRg5cqSiNjndbyeOpBIR2c96JPVPusF3zu7X8Eiq2sxHTzmSWnt6n4rPG8/ud51ly5ahqKgI4eHhuHnzJvr27Ys2bdqgQYMGWLRokaI2OZJqJ4ZUIiL7WYfUpeJzOaT6aOiYVK0xv+PUn32SOIpaS/rbI6laOHHKU0ZSQ0JCsGvXLuzfvx/ff/89ioqK8Jvf/AYJCQmK22RItRNDKhGR/WxfzL8EAGAI0M7/V61DoDSNX9XrNS2vK14nVRnp5hAZZadUrgTQm0wOOiZVG4fE1KRXr17o1auXQ9riJ95OPCaViMh+tqb7r984gAwA/RrE1DoMOoN0HKotao9cmo+k6vU8Qq+2vKQTp4z1I9jVZ5mZmbh8+TKGDLlzNYwPPvgAqampKC4uxrBhw7BixQr4+to/Y8KQage9Xs+/ZImIFKju7P6jATlYIrZaru+Kom5bIrbiRd0wi+da4X37ep/e3t7Q6XTwrsUF3WeZ7UttaGl/HcXb5/YItAaOSXX36f6FCxeiX79+ckg9ceIEnnjiCUycOBEdOnTAa6+9hqioKMyfP9/utpm47MCpfiIiZWxN92vpOqlSULM34Emk9zk68EkjqfYMkLhj6LSXdEzqb8pbYp/atRhN0DtgRNcRbTjD8ePH8fLLL8vPN27ciLi4OKxevRoAEB0djdTUVEUhlXMHdmBIJSJSprqR1KFBPRWHQ0czD6taqEk6JpWzePaR+o1n9zvf1atXERERIT/fu3cvBg0aJD+/7777cOHCBUVtM6TagSGViEgZWyOpJ4uzAQB7Ak5rZvTPfERUCzUpGUklbYVUabrfET9aFBERgezsin/LpaWlOHr0KHr27Cm/fv36dfj4+Chqm596OzCkEhEpYytkld4+u1/Ld5xSG0dSlfG6fUyq0aiFO06599n9Dz74IGbPno0lS5Zg69atCAgIQO/eveXXs7KycPfddytqm596OzCkEhEpYytkhRQZAAD+gT7whvphAgCWiU/gDWCmbqTFstq8D3D8l6p0BSppJEor/aR10glnWrhOqrt7+eWXMWLECPTt2xdBQUF4//33YTAY5Nffe+89DBgwQFHbqk7379u3D0OHDkVUVBR0Oh22bt1q8boQAvPmzUPTpk3h7++PhIQEnD171mKdK1euYOzYsQgODkZoaCieeOIJFBUVWayTlZWF3r17w8/PD9HR0Vi6dKmiehlSiYiUqe7EqQlBiZipGyn/qM3egOpMXt6c7ldCU9P9wkHT/UKb0/2NGzfGvn37cPXqVVy9ehXDhw+3eH3z5s1ITU1V1Laqn/ri4mLExsbi8ccfx4gRIyq9vnTpUrz55pt4//330apVK7z00ksYOHAgTp06JQfGsWPHIjc3F7t27UJZWRkmTZqEKVOmYMOGDQCAwsJCDBgwAAkJCVi1ahVOnDiBxx9/HKGhoZgyZYpd9Sq5xhcREVUOWW+IrbhYfBkA8ElAJg6IvGrfX114dWSQnKkbqag9qT5Hh1r/hkEAgIYNGzq0XXenpZAKk6nixxHtaFhISIjN5WFhYYrbVDWkDho0yOIMMHNCCCxfvhxz585FUlISgIqLw0ZERGDr1q0YPXo0Tp8+jZ07d+LQoUPo3r07AGDFihV48MEH8Ze//AVRUVFYv349SktL8d5778FgMKBTp044fvw4Xn/9dbtDKi/kT0SkjHVIna4bhsXFUwEAzzQYhja6NvJrtoKes0Y0rcOl0u04q76IDndhzAd/RETHu7BMfKI4RHsaaQT6lPFndQuhOtHs/EF2djby8vIs7vkaEhKCuLg4ZGZmYvTo0cjMzERoaKgcUAEgISEBer0eBw8exPDhw5GZmYk+ffpYHB8xcOBALFmyBFevXrX512lJSQlKSkrk54WFhQA4kkpEpJT1dP9y0xYU3Z7uXxeQgWDxvRpl1Rj4nDVCao9uj/VRbdv1hfVIu68hF5/hfdxd3hRZKtUkM4qKH0e042E0G1Lz8iqmfsyvvSU9l17Ly8tDeHi4xeve3t4ICwuzWKdVq1aV2pBesxVS09LSsGDBgkrLeUwqEZEylY6pvFUCcXv6MiDAp1Z3UnKF6fqH8YZps/z8DVHxWCtflm+IzZqpRUuk35Nkv77ijx5NnDhlEhU/jmjHw/A6qTbMmTMH165dk3+ki9ByJJWISBnrkCpdfgoADBq6BJV5QAUqQqv5j6upsU13IB2Teq7svypXQnWh2T/IIiMjAQD5+flo2rSpvDw/Px9dunSR17l48aLF+8rLy3HlyhX5/ZGRkcjPz7dYR3ourWPN19fXZiDlMalERMpYT/ePufUAFqLi/7fP+YySl1uHRLVI4dDeeqxHYuvKVmjWSh9pjXmgDzEUYxP+hruMjfGjijUB8JgTp5xBsyG1VatWiIyMRHp6uhxKCwsLcfDgQUydWnGwfXx8PAoKCnDkyBF069YNALB7926YTCbExcXJ67z44osoKyuTrzO3a9cutGvXzu6zJTmSSkSkjPVIqnT5qcDAQIvlzg5htQ2fSmtwVu1KQ7MnMe+bw15HAWjjYv4wwkHHpNa9ifpG1ZBaVFSEc+fOyc+zs7Nx/PhxhIWFoXnz5pgxYwZeeeUVtG3bVr4EVVRUFIYNGwYA6NChAxITEzF58mSsWrUKZWVlmDZtGkaPHo2oqCgAwKOPPooFCxbgiSeewKxZs/DDDz/gjTfewF//+le76+UxqUREyliH1Bs3bgCwDKkrjZsq1nViHTVtI9lrlLxOXSR7jbLYnqNo5dhdrfPhxfzdgqoh9fDhw/jd734nP09JSQEATJgwAWvXrsWf/vQnFBcXY8qUKSgoKMBvf/tb7Ny50yIsrl+/HtOmTUP//v2h1+sxcuRIvPnmm/LrISEh+Oqrr5CcnIxu3bqhcePGmDdvnt2XnwIYUomIlLKe7pduumIeUqVgVxNHBz97tl1bjq5Ras9RIdrd8Tqp7kHVkNqvXz+Iau6goNPpsHDhQixcuLDKdcLCwuQL91elc+fO+Ne//qW4TglDKhGRMjqdDnq9HqbbX7TVjaSqwTwEKuGskVNXte9uvDQVUnl2v1KaPSZVixhSiYiU8/b2RmlpKYA7x6ReDyzG6vL1AABDle90ndXl65HsPVauyV4G4dxQ5Oz23YXBqyLQaeKYVFKMIdUOtm7dSkREtWM+5f/V9T0AAEOgtk5InawgoE72HmvzsTNYt680TLs7L5+KeKOJY1JNJsDI6X4lGFLtYH1jASIiqj3zk6e63roX6wF0CLrHZrBzZfgy376S7bqiVqlGhtLakW6Leqn8isqVUF0wpBIRkUuYj6RKx6T+4p+nevBSe/vkeNKJU0HlASpXAh6TWgcMqURE5BLmIfVfBQcAAH7B9eMmKXUdba0raZtKDkfwFOa/o299v8Vf8Io2jkk1Omi63xFt1DMMqURE5BLm0/3Nr1XcSTCgYWBVq6uiqml1BkNtsz5kRLp5jyaOSSXFGFKJiMglzEdSCwoKAAAJjfpq6gL1a8rWAQAm+4yrtExNk27Xs6ZsHb+4bTD/HU3yGSf/QeTpl6BauXIlXnvtNeTl5SE2NhYrVqxAjx49bK67evVqfPDBB/jhhx8AAN26dcOrr75a5fquoFdty0RE5FHMR1JPXT0NADjR4JRa5VRrTdk6OfhM8hkn/5D2rSlbh+3iCwBAcXmxytXgznS/I37ssGnTJqSkpCA1NRVHjx5FbGwsBg4ciIsXL9pcPyMjA2PGjMGePXuQmZmJ6OhoDBgwAL/88osjekER/kFGREQuYR5SA65VHIua1GQIhvoMBaCNEUuJdSBVuzbzwKx2LfWB/vbZ/d5Gz405r7/+OiZPnoxJkyYBAFatWoXPP/8c7733HmbPnl1p/fXrLQ9peffdd/HJJ58gPT0d48ePd0nN1jz3t0dERC5la7r/2wYHcamsQJ2CbJBCYHVBUI2gaD7dT7aZ/2FxLuAc5mKOW073FxYWWiz29fWFr6/l9YZLS0tx5MgRzJkzR16m1+uRkJCAzMzMWm3uxo0bKCsrQ1hYWB0LV44hlYiIXMI8pF69ehUAEBiqrROnbIVArY2qkm3mv5dL4lcAwK2yW2qVc4eDz+6Pjo62WJyamor58+dbLLt06RKMRmOl67tHRETgxx9/rNXmZs2ahaioKCQkJCivuY4YUomIyCXMp/sLrhUA0N7Z/bYwlNY/0nVSRbn7XVv0woULCA4Olp9bj6I6wuLFi7Fx40ZkZGSoekt4hlQiInIJ85FU0+1RoeAQX3gLDVzLsgrjDBMtnq8rXatKHRIt95WWGG5/1DQx3S8cNN0vKtoIDg62CKm2NG7cGF5eXsjPz7dYnp+fj8jIyGrf+5e//AWLFy/G119/jc6dO9et5jpiSCUiIpcwH0kFAIPBgCdCpkCn01ksVzsIApbh1J56xhkmaqJ+T2T+O7sUcAl/xAzVarGgwsX8DQYDunXrhvT0dAwbNgwAYDKZkJ6ejmnTplX5vqVLl2LRokX48ssv0b1797pWXGcMqURE5BLWIbVhw4bQ6XSaD3X2BE9n7YvULkNw1cz75Ya4oV4hGpGSkoIJEyage/fu6NGjB5YvX47i4mL5bP/x48ejWbNmSEtLAwAsWbIE8+bNw4YNG9CyZUvk5eUBAIKCghAUFKTKPjCkEhGRS+j1lpfmbtiwIQDtTalb1zDOMFGu0VW1VbU9LfRNfeDl7VXzSq6i0sX8R40ahV9//RXz5s1DXl4eunTpgp07d8onU+Xk5Fj8m3znnXdQWlqKhx56yKIdWydmuQpDKhERuYStkdQPb71XeT1XFWTDGL/HAcCiLvPHrqpN2qa0PVt1UdWElm5VZBQOmu63P+hOmzatyun9jIwMi+c///yzgqKciyGViIhcwlZIlcKXUo4ObVJ7DIX1m6ZGUkkxhlQiInIJ87P7AeBa8BXNhUCthlPz8Ky12rRI76WHTqeDEBq4BJVRKBoFtdmOh2FIJSIil7AeSe3auLvNkVRXhjDrUKp0264Ktwyotaf31sNYpoFLdplMFT+OaMfDMKQSEZFLWI+kSidOqRm8qtq2eXiuTX0Mj9rj5e2ljZBKijGkEhGRS1QVUqVAuPnmapfXVBtj/B5XtbaH/Sdrtm+07B8XlqHkZimejJ6pbiGc7leMIZWIiFzCerr/XGCW5sLXw/6TAWgrMG++uVqTdWmJ1D8W/IHCwkI8CZVDqslBF/PndD8REZFzWI+kDogYhlJctFim9qiho7Zdl1Bpqw8YTqtXVf/cuHnTxZWQIzGkEhGRS1iPpDZo0AAP+CfJzzffXK2ZMGY+MqekprrsR3XvVTvEkwKc7leMIZWIiFzCOqQGBASoVEnVOK1eP9mc7gdQWFaIiZju4mqs8Ox+xRhSiYjIJayn+/39/S2eVxU0rG0p/pvDaqqqbfMvx+GBT7lk29WRathS/Dd+cdtQ1e/lRjGn++szftaJiMglrENqdSOpWgiDatdCboLT/YoxpBIRkUtYT/dbj6RK1A6FSrZvK9yS65iPdpsrNBYCeM61xVgzOujsfke0Uc8wpBIRkUvYGknVYqgbHviU3XU5ez+k9pXURlRfMaQSEZFL2BpJHe5vewSsLtwxxHGktnqaPiaV0/2KMaQSEZFLWIfU9NJ/QFemc/h2DHV47+eFK222MTg4udI6riRtc3hwsirb1zrz3485TUz382L+iunVLoCIiDyDXn/nK8ff3x86neMDqrN8XrhSDodVBSJnGhycjMEMqORhOJJKREQuYT6S6u/vX29Cl9qjqO5OjdDvUiZR8eOIdjwMQyoREbmEdUgFoJmgWl0Q1UJ97sze/q13odYoHHR2P0MqERGRU5if3S9dI/XLghWa+CL6smCF/NgR9QwMfbZSu3UhteN9u21HtVsf2bPvxYUaOHGKFNP0Manz58+HTqez+Gnfvr38+q1bt5CcnIxGjRohKCgII0eORH5+vkUbOTk5GDx4MAICAhAeHo4XXngB5eXlrt4VIiKPZz6S6ufnp6mgNTD0WTlY2vs+W74sWOGU/fP0gGqPgaHPIiH0abXLuHOdVEf8eBgt/AFbrU6dOuHrr7+Wn5v/T+65557D559/js2bNyMkJATTpk3DiBEjsH//fgCA0WjE4MGDERkZiW+//Ra5ubkYP348fHx88Oqrr7p8X4iIPJn1SOrA0GeRfmW5egWZkeqw/lLsHzbD5nrmz139ReptMrp4i85n3c9uhZegUkzzIdXb2xuRkZGVll+7dg3/+Mc/sGHDBjzwwAMAgDVr1qBDhw44cOAAevbsia+++gqnTp3C119/jYiICHTp0gUvv/wyZs2ahfnz58NgqMuFSoiIyB7mIdXPz8/mOv3DZmgmuAKVQ2ltSaHLUfvi6Pa0xln7VVx4yyntkmtoPqSePXsWUVFR8PPzQ3x8PNLS0tC8eXMcOXIEZWVlSEhIkNdt3749mjdvjszMTPTs2ROZmZmIiYlBRESEvM7AgQMxdepUnDx5El27drW5zZKSEpSUlMjPCwsLnbeDREQewnwm7KZXHvb+uqzSl5CtZc7Wt8nMSjXUldSGo/fF2+h+o6jOpIlRZ6MJMDrgcmuc7teWuLg4rF27Fu3atUNubi4WLFiA3r1744cffkBeXh4MBgNCQ0Mt3hMREYG8vDwAQF5enkVAlV6XXqtKWloaFixY4NidISLycOYjqb5+PipWYqk2odQ8yDoixNpL2mbfJjNV2b7WWf+hISn0LQQw17XFWON0v2KaDqmDBg2SH3fu3BlxcXFo0aIFPvroI/nyJc4wZ84cpKSkyM8LCwsRHR3ttO0REXkC85HU5g1jNRm4pLBjXZfadVZVF1XY++uyKoMq1V+aDqnWQkNDcc899+DcuXP4/e9/j9LSUhQUFFiMpubn58vHsEZGRuK7776zaEM6+9/Wca4SX19f+Pr6On4HiIg8mPXZ/QDgrbFbPe7Pfw1A5S/HXhEvVFpHDVrrL60w//1ojslB0/0e+LuvVyG1qKgI58+fx7hx49CtWzf4+PggPT0dI0eOBACcOXMGOTk5iI+PBwDEx8dj0aJFuHjxIsLDwwEAu3btQnBwMDp27KjafhAReSJb10nVSviTSPVY1+Lq2qzr0ELfaJmt/tFMcDUKQM/pfiU0HVKff/55DB06FC1atMD//vc/pKamwsvLC2PGjEFISAieeOIJpKSkICwsDMHBwXj22WcRHx+Pnj17AgAGDBiAjh07Yty4cVi6dCny8vIwd+5cJCcnc6SUiMjFajq7XwuBta7b7RXxgkNqt26jqvDsiTQTPsnpNB1S//vf/2LMmDG4fPkymjRpgt/+9rc4cOAAmjRpAgD461//Cr1ej5EjR6KkpAQDBw7E22+/Lb/fy8sL27dvx9SpUxEfH4/AwEBMmDABCxcuVGuXiIg8lvl0vzSSWpWagsixnFccUlNVuja/c7KNPds6lvMKqt8zZaQanNF2fWPr92H++9IcownQ8+x+JTQdUjdu3Fjt635+fli5ciVWrqz6vr8tWrTAjh07HF0aERHZyXwkVTr51dlhUymldXVtPteh++To9rSkpmBpvd/S+rb6o6p1NYHT/YppOqQSEZH7sHXilK0wcSLbdZcAjGmV6tBtnshe4NAvVqk9R9epBTXti3U/SutX1b9SH5H7YEglIiKXqM10v6tDWE3b00I4jGmV6lbh1Fls9VHRdQ3ccYrT/YoxpBIRkUvYOnHq7I+WI6m2b5bqem3bV0wfS/XZW5f0fvM2lDr741x5+23bv1Ln9tyVeZ9LKu4Yudj1xZjjdL9iDKlEROQSti5BpfXQpbQ+R+6TeQ1a7iu12eqboqISG2tSfcGQSkRELmHrmFTA9giYJPvkHKfW1KpTms3tmD9X+4sy++QcuYZWndKc3if1lfS7NFcxkvoX1xdjziQcM1Vv4kgqERGRU9gaSTWXfzil0jJnXXIpovvrFs9tBRxztmpTi3mtWqpLbbb64roWRlKNJsABh6TymFQiIiInMR9J9ff3x+UD0y1fd2Et1ts216jnG5XW09KXpXntWqqrOuZ96kr+hYUA3q5xPdKm+vL5JiKies76OqmNYqsOLtWFSEerLkDZeq22Abc269vLui1pe67sLyXUqu96sRZGUgWg44lTSjCkEhGRS1iPpFa7brnrpjavffOs/DjktytqXL+6UGvelsSZX7TS9pz9ZW7dL7b201nbrMu2vMo1EOw43a8YQyoREbmEEHcCQ00h1dVqE05tsRWgbLXl6FDniABnD2fUX1Obrto30i6GVCIicomysjL5sdZCanWBqLoAqzTc1lZVYa6+B7j6Xr9dON2vGEMqERG5RGlpqfzY/BJU5oozngGgrS+n4oxnENivbiffSGFW2j97th1itW1726gvrPvYEfvpXW6scxt1xul+xbT0/wEiInJjwcHB8mOdzva3dm3CoDNDWl3DqDVH1Goekt01oALuvW+kDEMqERG5RExMTK3XVSuwKBk1dUatVdXgCWHV7ZiEY6bqeTF/IiIi96eFIFqb7TGsugFHTdNzup+IiEh9zj6WsOTrp+xaX/qy9E34m6L310RqtzbMt+2oL/Gqtu/o/VTCN+FviuvQxDGppBhDKhERqUorQcgW69qcVWtt27UnzDpj+45kz74o3W/fwkIAaxW912GMAgDP7leCIZWIiFTlrNHJ2mzTmhYCM7kZTvcrxpBKRESaYB4cnR0W7W1f6UieI/bDett1mf7WEmkfnPlHSklxac0rkWYxpBIRkea4+lhCr8R3HdaWceeT8mNHfMmatwdU1OpOx1pK++eMQKKJfuJIqmIMqUREpDnmodE6pDlDdduwN8BWt74r9qU+8Ep813P6gsekKsaQSkREmuGq4GJv8HRloKop5LpDuDPfB48KrGQXhlQiItIMWwHNGQHG1hR6dewJtXWtt6b31/dQZ92X9XlfasUoAOGAqXpezJ+IiMjFtk2s9mUvDdRQo6S18kOHHN9aXT3bJrqmT5zFat+cuS9epeVObL2WjMIhs/0MqURERK5mFvDqHBbrsm2ltk10Xd1Ja13fR0QqYUglIiLtsBUanRnKatN2TUHWnqCrdF+kbXhqQK3P4dxoAoSu7u1wJJWIiEgD6suIqjPqdMTortbZGzrra0AFON1fBwypRESkPa4+BMB8G/aExJrWVVK7dS31OaBVxdY+efpoMVXCkEpERJ5NyyOXDGz1H6f7FWNIJSIiz7Ztonam+6uqw93Cqq0RYnfbRwlDqmIMqUREpB0fj3Pt9h5aV7f3J611bM222nponWV4dXUfOUNN+2D+e6nL/pZp4LaopBhDKhERaYcUTlwVxGqznZqCrD1BV8l+VRVclbanVeb75E77ZXLQiVOCI6lERETqcVU4sXcEVe26rLfvTiFO4o77BFRM9+scMN3PkEpERKQiWyHNGeHFuk2lo6XuGqyc7aF17DuqEUMqERFpx8ZHtbnd0RtsL5fCq7Prtg7JavWTo7iq/nKTa7ZTbQ0CcMBAKkdSiYiI1FRVGJQ4K9zUtF2l77e33qrWl9qv7+HUE3G6XzG92gW40sqVK9GyZUv4+fkhLi4O3333ndolERGRPeoaJh1t46PV/ygxekPlH0/gSfvqIvbmns2bN6N9+/bw8/NDTEwMduzY4aJKbdMJ4RnRfNOmTRg/fjxWrVqFuLg4LF++HJs3b8aZM2cQHh5e7XsLCwsREhKCa9euITg42EUVExG5l+LiYgQFBQEAioqKEBgYWPXK60a5qKoqjNvknHaV7JetWtTun3qi8GYZQp7aosr3t5wd9DoEO2AktVAIhJhErffF3tzz7bffok+fPkhLS8OQIUOwYcMGLFmyBEePHsW9995b5/qV8JiQGhcXh/vuuw9vvfUWAMBkMiE6OhrPPvssZs+eXe17GVKJiOpO0yFVaSh1Rp3V1eIu4XTcJpfsiyZCKgBHbLkQQAhQ632xN/eMGjUKxcXF2L59u7ysZ8+e6NKlC1atWuWAPbCfRxyTWlpaiiNHjmDOnDnyMr1ej4SEBGRmZlZav6SkBCUlJfLza9euAaj4wBERkTLFxcXy48LCQhiNVhdaX6fi2d4rkxzb3jizE53s3S97ahm3Tt1+U6qwEEha7YLNFALYAjXH4xyVHKR2rLOIr68vfH19LZbZm3sAIDMzEykpKRbLBg4ciK1bt9a5dqU8IqReunQJRqMRERERFssjIiLw448/Vlo/LS0NCxYsqLQ8OjraaTUSEXmSqKgotUtwrmkh7rUdR3Nx3devX0dIiGu3aTAYEBkZiei8PIe1GRQUVCmLpKamYv78+RbL7M09AJCXl2dz/TwH1m8vjwip9pozZ47FXxMFBQVo0aIFcnJyXP4h15rCwkJER0fjwoULHn3oA/uhAvvhDvZFBfZDBfbDHWr2hRAC169fV+WPIj8/P2RnZ6O0tNRhbQohoLM6vtV6FNWdeERIbdy4Mby8vJCfn2+xPD8/H5GRkZXWtzV0DgAhISEe/z8bSXBwMPsC7AcJ++EO9kUF9kMF9sMdavWFmoNLfn5+8PPzc/l27c09ABAZGWnX+q7gEZegMhgM6NatG9LT0+VlJpMJ6enpiI+PV7EyIiIiIsdSknvi4+Mt1geAXbt2qZqTPGIkFQBSUlIwYcIEdO/eHT169MDy5ctRXFyMSZMmqV0aERERkUPVlHvGjx+PZs2aIS0tDQAwffp09O3bF8uWLcPgwYOxceNGHD58GH//+99V2wePCamjRo3Cr7/+innz5iEvLw9dunTBzp07Kx0kbIuvry9SU1Pd+riP2mJfVGA/VGA/3MG+qMB+qMB+uIN9oY6ack9OTg70+jsT6vfffz82bNiAuXPn4s9//jPatm2LrVu3qnaNVMCDrpNKRERERPWHRxyTSkRERET1C0MqEREREWkOQyoRERERaQ5DKhERERFpDkNqLaxcuRItW7aEn58f4uLi8N1336ldklPNnz8fOp3O4qd9+/by67du3UJycjIaNWqEoKAgjBw5stIFgOujffv2YejQoYiKioJOp6t0v2IhBObNm4emTZvC398fCQkJOHv2rMU6V65cwdixYxEcHIzQ0FA88cQTKCoqcuFeOEZNfTFx4sRKn5HExESLddyhL9LS0nDfffehQYMGCA8Px7Bhw3DmzBmLdWrz7yEnJweDBw9GQEAAwsPD8cILL6C8vNyVu1IntemHfv36VfpMPP300xbr1Pd+eOedd9C5c2f5ovTx8fH44osv5Nc94bMgqakvPOHzQM7HkFqDTZs2ISUlBampqTh69ChiY2MxcOBAXLx4Ue3SnKpTp07Izc2Vf7755hv5teeeew7//Oc/sXnzZuzduxf/+9//MGLECBWrdYzi4mLExsZi5cqVNl9funQp3nzzTaxatQoHDx5EYGAgBg4ciFu3bsnrjB07FidPnsSuXbuwfft27Nu3D1OmTHHVLjhMTX0BAImJiRafkQ8//NDidXfoi7179yI5ORkHDhzArl27UFZWhgEDBqC4uFhep6Z/D0ajEYMHD0ZpaSm+/fZbvP/++1i7di3mzZunxi4pUpt+AIDJkydbfCaWLl0qv+YO/XDXXXdh8eLFOHLkCA4fPowHHngASUlJOHnyJADP+CxIauoLwP0/D+QCgqrVo0cPkZycLD83Go0iKipKpKWlqViVc6WmporY2FibrxUUFAgfHx+xefNmednp06cFAJGZmemiCp0PgNiyZYv83GQyicjISPHaa6/JywoKCoSvr6/48MMPhRBCnDp1SgAQhw4dktf54osvhE6nE7/88ovLanc0674QQogJEyaIpKSkKt/jrn1x8eJFAUDs3btXCFG7fw87duwQer1e5OXlyeu88847Ijg4WJSUlLh2BxzEuh+EEKJv375i+vTpVb7HHftBCCEaNmwo3n33XY/9LJiT+kIIz/08kGNxJLUapaWlOHLkCBISEuRler0eCQkJyMzMVLEy5zt79iyioqLQunVrjB07Fjk5OQCAI0eOoKyszKJP2rdvj+bNm7t1n2RnZyMvL89iv0NCQhAXFyfvd2ZmJkJDQ9G9e3d5nYSEBOj1ehw8eNDlNTtbRkYGwsPD0a5dO0ydOhWXL1+WX3PXvrh27RoAICwsDEDt/j1kZmYiJibG4sYhAwcORGFhocWoU31i3Q+S9evXo3Hjxrj33nsxZ84c3LhxQ37N3frBaDRi48aNKC4uRnx8vMd+FoDKfSHxpM8DOYfH3HFKiUuXLsFoNFa6K1VERAR+/PFHlapyvri4OKxduxbt2rVDbm4uFixYgN69e+OHH35AXl4eDAYDQkNDLd4TERGBvLw8dQp2AWnfbH0WpNfy8vIQHh5u8bq3tzfCwsLcrm8SExMxYsQItGrVCufPn8ef//xnDBo0CJmZmfDy8nLLvjCZTJgxYwZ69eol34GlNv8e8vLybH5upNfqG1v9AACPPvooWrRogaioKGRlZWHWrFk4c+YMPv30UwDu0w8nTpxAfHw8bt26haCgIGzZsgUdO3bE8ePHPe6zUFVfAJ7zeSDnYkilSgYNGiQ/7ty5M+Li4tCiRQt89NFH8Pf3V7Ey0orRo0fLj2NiYtC5c2fcfffdyMjIQP/+/VWszHmSk5Pxww8/WByf7Ymq6gfz441jYmLQtGlT9O/fH+fPn8fdd9/t6jKdpl27djh+/DiuXbuGjz/+GBMmTMDevXvVLksVVfVFx44dPebzQM7F6f5qNG7cGF5eXpXOzszPz0dkZKRKVbleaGgo7rnnHpw7dw6RkZEoLS1FQUGBxTru3ifSvlX3WYiMjKx0Ql15eTmuXLni1n0DAK1bt0bjxo1x7tw5AO7XF9OmTcP27duxZ88e3HXXXfLy2vx7iIyMtPm5kV6rT6rqB1vi4uIAwOIz4Q79YDAY0KZNG3Tr1g1paWmIjY3FG2+84XGfBaDqvrDFXT8P5FwMqdUwGAzo1q0b0tPT5WUmkwnp6ekWx924u6KiIpw/fx5NmzZFt27d4OPjY9EnZ86cQU5Ojlv3SatWrRAZGWmx34WFhTh48KC83/Hx8SgoKMCRI0fkdXbv3g2TyST/D9pd/fe//8Xly5fRtGlTAO7TF0IITJs2DVu2bMHu3bvRqlUri9dr8+8hPj4eJ06csAjtu3btQnBwsDw1qnU19YMtx48fBwCLz0R97wdbTCYTSkpKPOazUB2pL2zxlM8DOZjaZ25p3caNG4Wvr69Yu3atOHXqlJgyZYoIDQ21OCPR3cycOVNkZGSI7OxssX//fpGQkCAaN24sLl68KIQQ4umnnxbNmzcXu3fvFocPHxbx8fEiPj5e5arr7vr16+LYsWPi2LFjAoB4/fXXxbFjx8R//vMfIYQQixcvFqGhoWLbtm0iKytLJCUliVatWombN2/KbSQmJoquXbuKgwcPim+++Ua0bdtWjBkzRq1dUqy6vrh+/bp4/vnnRWZmpsjOzhZff/21+M1vfiPatm0rbt26JbfhDn0xdepUERISIjIyMkRubq78c+PGDXmdmv49lJeXi3vvvVcMGDBAHD9+XOzcuVM0adJEzJkzR41dUqSmfjh37pxYuHChOHz4sMjOzhbbtm0TrVu3Fn369JHbcId+mD17tti7d6/Izs4WWVlZYvbs2UKn04mvvvpKCOEZnwVJdX3hKZ8Hcj6G1FpYsWKFaN68uTAYDKJHjx7iwIEDapfkVKNGjRJNmzYVBoNBNGvWTIwaNUqcO3dOfv3mzZvimWeeEQ0bNhQBAQFi+PDhIjc3V8WKHWPPnj0CQKWfCRMmCCEqLkP10ksviYiICOHr6yv69+8vzpw5Y9HG5cuXxZgxY0RQUJAIDg4WkyZNEtevX1dhb+qmur64ceOGGDBggGjSpInw8fERLVq0EJMnT670h5s79IWtPgAg1qxZI69Tm38PP//8sxg0aJDw9/cXjRs3FjNnzhRlZWUu3hvlauqHnJwc0adPHxEWFiZ8fX1FmzZtxAsvvCCuXbtm0U5974fHH39ctGjRQhgMBtGkSRPRv39/OaAK4RmfBUl1feEpnwdyPp0QQrhu3JaIiIiIqGY8JpWIiIiINIchlYiIiIg0hyGViIiIiDSHIZWIiIiINIchlYiIiIg0hyGViIiIiDSHIZWIiIiINIchlYiIiIg0hyGViDxCRkYGdDodCgoKql2vZcuWWL58uUtqIiKiqjGkEpGmTJw4ETqdDjqdDgaDAW3atMHChQtRXl5ep3bvv/9+5ObmIiQkBACwdu1ahIaGVlrv0KFDmDJlSp22RUREdeetdgFERNYSExOxZs0alJSUYMeOHUhOToaPjw/mzJmjuE2DwYDIyMga12vSpInibRARkeNwJJWINMfX1xeRkZFo0aIFpk6dioSEBHz22We4evUqxo8fj4YNGyIgIACDBg3C2bNn5ff95z//wdChQ9GwYUMEBgaiU6dO2LFjBwDL6f6MjAxMmjQJ165dk0dt58+fD6DydH9OTg6SkpIQFBSE4OBgPPLII8jPz5dfnz9/Prp06YJ169ahZcuWCAkJwejRo3H9+nV5nY8//hgxMTHw9/dHo0aNkJCQgOLiYud2IhFRPceQSkSa5+/vj9LSUkycOBGHDx/GZ599hszMTAgh8OCDD6KsrAwAkJycjJKSEuzbtw8nTpzAkiVLEBQUVKm9+++/H8uXL0dwcDByc3ORm5uL559/vtJ6JpMJSUlJuHLlCvbu3Ytdu3bhp59+wqhRoyzWO3/+PLZu3Yrt27dj+/bt2Lt3LxYvXgwAyM3NxZgxY/D444/j9OnTyMjIwIgRIyCEcEJPERG5D073E5FmCSGQnp6OL7/8EoMGDcLWrVuxf/9+3H///QCA9evXIzo6Glu3bsXDDz+MnJwcjBw5EjExMQCA1q1b22zXYDAgJCQEOp2u2kMA0tPTceLECWRnZyM6OhoA8MEHH6BTp044dOgQ7rvvPgAVYXbt2rVo0KABAGDcuHFIT0/HokWLkJubi/LycowYMQItWrQAALk+IiKqGkdSiUhztm/fjqCgIPj5+WHQoEEYNWoUJk6cCG9vb8TFxcnrNWrUCO3atcPp06cBAH/84x/xyiuvoFevXkhNTUVWVlad6jh9+jSio6PlgAoAHTt2RGhoqLxNoOIQASmgAkDTpk1x8eJFAEBsbCz69++PmJgYPPzww1i9ejWuXr1ap7qIiDwBQyoRac7vfvc7HD9+HGfPnsXNmzfx/vvvQ6fT1fi+J598Ej/99BPGjRuHEydOoHv37lixYoXT6/Xx8bF4rtPpYDKZAABeXl7YtWsXvvjiC3Ts2BErVqxAu3btkJ2d7fS6iIjqM4ZUItKcwMBAtGnTBs2bN4e3d8VRSR06dEB5eTkOHjwor3f58mWcOXMGHTt2lJdFR0fj6aefxqeffoqZM2di9erVNrdhMBhgNBqrraNDhw64cOECLly4IC87deoUCgoKLLZZE51Oh169emHBggU4duwYDAYDtmzZUuv3ExF5IoZUIqoX2rZti6SkJEyePBnffPMNvv/+ezz22GNo1qwZkpKSAAAzZszAl19+iezsbBw9ehR79uxBhw4dbLbXsmVLFBUVIT09HZcuXcKNGzcqrZOQkICYmBiMHTsWR48exXfffYfx48ejb9++6N69e63qPnjwIF599VUcPnwYOTk5+PTTT/Hrr79WWRcREVVgSCWiemPNmjXo1q0bhgwZgvj4eAghsGPHDnm63Wg0Ijk5GR06dEBiYiLuuecevP322zbbuv/++/H0009j1KhRaNKkCZYuXVppHZ1Oh23btqFhw4bo06cPEhIS0Lp1a2zatKnWNQcHB2Pfvn148MEHcc8992Du3LlYtmwZBg0apKwTiIg8hE7wOihEREREpDEcSSUiIiIizWFIJSIiIiLNYUglIiIiIs1hSCUiIiIizWFIJSIiIiLNYUglIiIiIs1hSCUiIiIizWFIJSIiIiLNYUglIiIiIs1hSCUiIiIizWFIJSIiIiLN+X/2wrvcghXhAQAAAABJRU5ErkJggg==\n" - }, - "metadata": {} - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -490,33 +417,10 @@ ], "metadata": { "cellView": "form", - "id": "RQJEQQWOk-aL", - "outputId": "4271ba10-6510-4aa6-e41a-8a951530def9", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 462 - } + "id": "RQJEQQWOk-aL" }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "GC 6508\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -534,7 +438,7 @@ "use_cluster_profile = True #@param {type:\"boolean\"}\n", "\n", "#@markdown Extended metrics (calculate pairwise ipTM, actifpTM and chain pTM)\n", - "extended_metrics = True #@param {type:\"boolean\"}\n", + "calc_extended_metrics = True #@param {type:\"boolean\"}\n", "\n", "if extended_metrics:\n", " debug=True\n", @@ -632,22 +536,10 @@ ], "metadata": { "id": "0AefVJipkQe3", - "cellView": "form", - "outputId": "184e10cf-58a3-4054-e9b2-9232e5165020", - "colab": { - "base_uri": "https://localhost:8080/" - } + "cellView": "form" }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "loading alphafold params\n" - ] - } - ] + "execution_count": null, + "outputs": [] }, { "cell_type": "code", @@ -655,7 +547,7 @@ "%%time\n", "#@title run_alphafold\n", "#@markdown Model options\n", - "model = \"all\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"all\"]\n", + "model = \"1\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"all\"]\n", "num_recycles = 6 #@param [\"0\", \"1\", \"2\", \"3\", \"6\", \"12\", \"24\"] {type:\"raw\"}\n", "recycle_early_stop_tolerance = 0.5 #@param [\"0.0\", \"0.5\", \"1.0\"] {type:\"raw\"}\n", "select_best_across_recycles = False #@param {type:\"boolean\"}\n", @@ -734,9 +626,9 @@ " tag = f\"{model}_r{recycle}_seed{seed}\"\n", " if select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", - " if extended_metrics:\n", - " actifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, actifptm_pairwise, per_chain_ptm])\n", + " if calc_extended_metrics:\n", + " extended_ptms = extended_metrics.get_chain_and_interface_metrics(af.aux['debug']['outputs'], af._inputs['asym_id'])\n", + " info[-1].extend([extended_ptms['pairwise_iptm'], extended_ptms['pairwise_actifptm'], extended_ptms['per_chain_ptm']])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -747,9 +639,9 @@ "\n", " if not select_best_across_recycles:\n", " info.append([tag,print_str,af.aux[\"log\"][rank_by]])\n", - " if extended_metrics:\n", - " actifptm_pairwise, iptm_pairwise, per_chain_ptm = chains_ptms.get_pairwise_interface_metrics(af)\n", - " info[-1].extend([iptm_pairwise, actifptm_pairwise, per_chain_ptm])\n", + " if calc_extended_metrics:\n", + " extended_ptms = extended_metrics.get_chain_and_interface_metrics(af.aux['debug']['outputs'], af._inputs['asym_id'])\n", + " info[-1].extend([extended_ptms['pairwise_iptm'], extended_ptms['pairwise_actifptm'], extended_ptms['per_chain_ptm']])\n", " af._save_results(save_best=True,\n", " best_metric=rank_by, metric_higher_better=True,\n", " verbose=False)\n", @@ -793,27 +685,10 @@ ], "metadata": { "id": "xYXcKFPQyTQU", - "cellView": "form", - "outputId": "24ffd863-38d4-4695-c346-a46c1497d817", - "colab": { - "base_uri": "https://localhost:8080/" - } + "cellView": "form" }, "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "running prediction\n", - "seed=0 model=model_1_multimer_v3 recycle=0 plddt=0.863 ptm=0.757 i_ptm=0.892 multi=0.865\n", - "seed=0 model=model_1_multimer_v3 recycle=1 plddt=0.871 ptm=0.774 i_ptm=0.899 multi=0.874 rmsd_tol=1.835\n", - "seed=0 model=model_1_multimer_v3 recycle=2 plddt=0.869 ptm=0.770 i_ptm=0.895 multi=0.870 rmsd_tol=1.301\n", - "seed=0 model=model_1_multimer_v3 recycle=3 plddt=0.870 ptm=0.771 i_ptm=0.891 multi=0.867 rmsd_tol=0.841\n", - "seed=0 model=model_1_multimer_v3 recycle=4 plddt=0.870 ptm=0.770 i_ptm=0.891 multi=0.867 rmsd_tol=0.750\n" - ] - } - ] + "outputs": [] }, { "cell_type": "code", @@ -934,50 +809,13 @@ { "cell_type": "code", "source": [ - "#@title Chain and pairwise analysis\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "def plot_chain_pairwise_analysis(info):\n", - " num_elements = len(info)\n", - " fig, axes = plt.subplots(1, num_elements, figsize=(num_elements * 5, num_elements), squeeze=False)\n", - "\n", - " for idx, ax in enumerate(axes[0]):\n", - " # get data from the info\n", - " ifptm_dict = info[idx][4]\n", - " iptm_dict = info[idx][3]\n", - " cptm_dict = info[idx][5]\n", - "\n", - " # get chain id-s\n", - " letters = sorted(set([key.split('-')[0] for key in ifptm_dict.keys()] + [key.split('-')[1] for key in ifptm_dict.keys()]))\n", - "\n", - " # initialize dataframe\n", - " data = pd.DataFrame(np.zeros((len(letters), len(letters))), index=letters, columns=letters)\n", - "\n", - " # add the ifptm and iptm values to the dataframe\n", - " for key, value in ifptm_dict.items():\n", - " i, j = key.split('-')\n", - " data.loc[j, i] = value\n", - " data.loc[i, j] = iptm_dict[f'{i}-{j}']\n", - "\n", - " # add cptm cvalues to the dataframe\n", - " for chain, value in cptm_dict.items():\n", - " if chain in data.index:\n", - " data.loc[chain, chain] = value\n", - "\n", - " # Plot data on the axis\n", - " extended_metrics.plot_data_on_axis(data, ax=ax)\n", - "\n", - " plt.tight_layout()\n", - " plt.savefig(f\"{pdb_path}/chain_pairwise_ptm.png\", dpi=200, bbox_inches='tight')\n", - " plt.show()\n", - "\n", - "plot_chain_pairwise_analysis(info)\n" + "#@title chainwise_and_pairwise_analysis\n", + "if calc_extended_metrics:\n", + " extended_metrics.plot_chain_pairwise_analysis(info, prefix='model_')" ], "metadata": { - "id": "WoLg1yqYDbiX" + "id": "WoLg1yqYDbiX", + "cellView": "form" }, "execution_count": null, "outputs": [] From f1557625a26733dc572a4d34f291557a9004ea4f Mon Sep 17 00:00:00 2001 From: Julia Varga Date: Wed, 20 Nov 2024 14:51:45 +0100 Subject: [PATCH 56/56] running all models by default --- af/examples/predict.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/af/examples/predict.ipynb b/af/examples/predict.ipynb index c8e54c5c..34a6d0ff 100644 --- a/af/examples/predict.ipynb +++ b/af/examples/predict.ipynb @@ -547,7 +547,7 @@ "%%time\n", "#@title run_alphafold\n", "#@markdown Model options\n", - "model = \"1\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"all\"]\n", + "model = \"all\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"all\"]\n", "num_recycles = 6 #@param [\"0\", \"1\", \"2\", \"3\", \"6\", \"12\", \"24\"] {type:\"raw\"}\n", "recycle_early_stop_tolerance = 0.5 #@param [\"0.0\", \"0.5\", \"1.0\"] {type:\"raw\"}\n", "select_best_across_recycles = False #@param {type:\"boolean\"}\n",